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THE STATE OF HIGHER EDUCATION REPORT - 2013/2014 Council on Higher Education (CHE)

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Page 1: Council on Higher Education (CHE)

THE STATE OF HIGHER EDUCATION

REPORT -

2013/2014

Council on Higher Education

(CHE)

Page 2: Council on Higher Education (CHE)

1

Contents

Acronyms and List of Abbreviations 6

Definition of Terms .................................................................................................................................. 8

Executive Summary ................................................................................................................................ 10

1.0 INTRODUCTION 14

2.0 METHODOLOGY 17

2.1 Limitations ........................................................................................................................................ 17

3.0 ACCESS TO HIGHER EDUCATION 18

3.1 Higher Education Institutions in Lesotho ......................................................................................... 18

3.2 Admission rates at Higher Education Institutions ............................................................................ 20

3.3 New Entrants.................................................................................................................................... 22

3.4 Admission rates at Tertiary institutions ........................................................................................... 23

3.5 Enrolments at Tertiary Institutions .................................................................................................. 25

3.6 Enrolment by age ............................................................................................................................. 27

3.7 Enrolment by Type of Programme and Qualifications ..................................................................... 31

3.8 Enrolment by Field of Study ............................................................................................................. 33

3.9 Enrolment of students with disability .............................................................................................. 35

4.0 INBOUND AND OUTBOUND MOBILITY OF STUDENTS................................................................. 37

4.1Inbound Mobility/Enrolment by Country of Origin .......................................................................... 38

4.2 Outbound Mobility/Basotho Students studying abroad ................................................................. 40

5.0 SPONSORSHIPS 43

6.0 GRADUATES AT HIGHER EDUCATION INSTITUTIONS 45

7.0 ACCESS TO INFORMATION ON HEIs 47

8.0 TEACHING AND LEARNING IN HEIs 49

8.1 Staff by Institution and Classification .............................................................................................. 49

8.2 Staff by Country of Origin ................................................................................................................ 51

8.3 Terms of Employment of Staff ......................................................................................................... 53

8.4 Staff by qualifications ....................................................................................................................... 55

8.4 Capacity building of Staff ................................................................................................................. 60

8.4.1 Continuous Professional Development 62

8.5 Staff Attrition Rates 63

9.0 RESEARCH AND INNOVATION IN HEIs 65

9.1 Research output ............................................................................................................................... 65

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9.2 Participation in conferences ............................................................................................................ 66

9.3 Incentives for Conducting Research ................................................................................................ 68

9.4 Research Collaboration Agreements ............................................................................................... 69

9.5 Programmes that have a research component ............................................................................... 71

9.6 Research Funding ............................................................................................................................. 72

10.0 FINANCES IN HIGHER EDUCATION INSTITUTIONS 73

10.1 Financial record keeping ................................................................................................................ 73

10.2 Income patterns of institutions ..................................................................................................... 74

10.3 Revenue /Funding and proportion of funders to overall income .................................................. 75

10.4 Expenditure Patterns of Institutions .............................................................................................. 77

10.5 Annual Budget Allocation by Government to HEIs ........................................................................ 78

11.0 COMMUNITY ENGAGEMENT BY HIGHER EDUCATION INSTITUTIONS 79

11.1 Programmes with work attachment and internship component .................................................. 80

12.0 QUALITY ASSURANCE MECHANISMS IN HEIs 81

12.1 Programmes that Have Been Accredited in the Last Three Years ................................................. 82

12.2 State of Registration of Private Institutions ................................................................................... 84

12.3 CHE Collaboration With Professional Bodies ................................................................................. 85

13.0 INFORMATION AND COMMUNICATIONS TECHNOLOGIES (ICTs) IN HEIs 85

13.1 Academic Staff with ICT skills ......................................................................................................... 86

13.2 Contribution of lecturers to E-Learning ......................................................................................... 86

13.3 Availability of computers to academic staff and students ............................................................ 87

14.0 ALIGNING HIGHER EDUCATION PROGRAMMES WITH NATIONAL PRIORITIES 90

14.1 Graduate Employment Rate .......................................................................................................... 91

14.2 HEIs that have done tracer studies ................................................................................................ 91

14.3 Business creation rate by new graduates ...................................................................................... 92

15.0 HIV & AIDS RESPONSE IN HEIs 92

16.0 COORDINATION OF THE HIGHER EDUCATION SUB-SECTOR 93

16.1 Regular and consistent monitoring of higher education policy implementation .......................... 94

17.0 CONCLUSIONS AND RECOMMENDATIONS 95

17.1 Conclusions .................................................................................................................................... 95

17.2 Recommendations ......................................................................................................................... 97

ANNEX 1 99

References 102

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List of Figures

Figure 1: Higher Education Providers in Lesotho…………………………………………… 19

Figure 2: Number of Applicants by Institution: 2012/13 – 2013/14………………………… 21

Figure 3: Enrolment by Institution and Gender for 2013/14………………………………… 26

Figure 4: Enrolment Trends by Type of Institution…………………………………………. 26

Figure 5: Enrolments by Gender: 2010/11 to 2013/14………………………………………. 27

Figure 6: Enrolment by age for 2013/14……………………………………………………... 28

Figure 7: Gross Enrolment Ratios: 2010/11 - 2013/14……………………………………… 30

Figure 8: Tertiary Gross Enrolment Ratios by Country/Region: 2010/11 to 2013/14………. 31

Figure 9: Enrolment by Qualification being studied………………………………………… 32

Figure 10: Postgraduate Programmes Offered at HEIs in Lesotho: 2013/14……………… 33

Figure 11: Proportion of Students in Science Related Fields by Qualification……………… 35

Figure 12: Foreign Students Enrolled at HEIs in Lesotho: 2013/14………………………… 39

Figure 13: Number of Foreign Students Enrolled at HEIs in Lesotho: 2011/12-2013/14…... 39

Figure 14: Non-Basotho Students Enrolled at HEIs in Lesotho by Field of Study: 2013/14.. 40

Figure 15: Students at Higher Education Institutions by Sponsor…………………………… 44

Figure 16: Completion Rates by Institutions: 2013/14………………………………………. 45

Figure 17: Performance of Students on End of Programme Examinations: 2011/12 – 2013/14 46

Figure 18: Performance of Students on End of Programme Examinations by Field of Study 47

Figure 19: Career Guidance Sessions by Institution: 2012/13 – 2013/14…………………… 48

Figure 20: Terms of Employment of Staff by Institution……………………………………. 54

Figure 21: Distribution of Staff by Terms of Employment: 2011/12 – 2013/14……………. 55

Figure 22: Academic Staff Quality Indices by Institution and Exit Level: 2011/12 -2013/14 59

Figure 23: Distribution of Staff who Went for Training by Institution and Qualification Sought:

2013/14………………………………………………………………………………………. 60

Figure 24: Programmes Pursued by Staff by Qualification Sought: 2013/14……………….. 61

Figure 25: Academic Staff on Training by Level of Study: 2013/14………………………... 62

Figure 26: Staff who Left by Institutions and Classification……………………………….. 63

Figure 27: Trends in the Number of Research Reports Produced: 2010 – 2014……………. 66

Figure 28: Distribution of Academic Staff with ICT Skills…………………………………..86

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List of Tables

Table 1: Number of Students Qualifying for Admission by Higher Education Institution:

2012/13 - 2013/14………………………………………………………………………. 21

Table 2: Admissions/New Entrants by Institution: 2011/12 – 2013/14………………… 22

Table 3: Admission Rates by Institution: 2012/13 – 2013/14…………………………. 24

Table 4: Admission Rates of Qualifying Applicants by Institution: 2012/13 – 2013/14....24

Table 5: Enrolment by Age: 2012/13 - 2013/14…………………………………………..29

Table 6: Fields of Study offered by HEIs in Lesotho……………………………………..34

Table 7: Enrolment by Field of Study: 2013/14…………………………………………..35

Table 8: Barriers of Access to HE by Persons with Disabilities and Possible solutions....37

Table 9: Students Enrolled at HEIs in Lesotho by Institution and Country of Origin:2013/14

......................................................................................................................................38

Table 10: Top 10 Programmes Pursued by Basotho Students Internationally: 2013/14…...42

Table 11: Top 10 Programmes Pursued by Basotho Students in South Africa: 2013/14….. 42

Table 12: Availability of Functional Websites by Institution ……………………………... 50

Table 13: Distribution of Staff by Institution and Classification…………………………... 50

Table 14: Annual Changes in Number of Staff Employed: 2010/11 - 2013/14…………… 51

Table 15: Distribution of Staff by Institutions and Nationality……………………………. 53

Table 16: Distribution of Staff by Institution and Qualification…………………………… 56

Table 17: Distribution of Staff by Qualification and Classification……………………….. 56

Table 18: Distribution of Staff by Qualification and Level Taught: 2013/14……………... 57

Table 19: Academic Staff Quality Indices by Institution………………………………….. 59

Table 20: Distribution of Staff who went for Training by Qualification Sought: 2011/12 –

2013/14…………………………………………………………………………………….. 61

Table21: Staff Attrition Rates by Institution………………………………………………. 64

Table 22: Number of Staff by Reasons for Leaving……………………………………….. 64

Table 23: Research Reports Completed by Institution and Type of Study: 2012 – 2014…. 66

Table 24: Conference Presentations by Institution: 2012 – 2014………………………….. 67

Table 25: Published Conference Papers by Institution: 2012 – 2014……………………… 68

Table 26: Staff Paper Publication Indices by Institution: 2012 – 2014…………………… 68

Table 27: Collaboration Agreements by Institution………………………………………... 70

Table 28: Collaboration Indices by Institution and Number of Organisations…………….. 71

Table 29: Distribution of Programmes With Research Component by Institution………… 72

Table 30: Funds Allocated to Research by Institution: 2013/14……………………………72

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Table 31: Income Gap by Institution: 2013/14…………………………………………….. 75

Table 32: Proportion of Revenue by Institution and source of funding: 2013/14…………. 76

Table 33: Expenditure Patterns by Institution and Some Key Budget Lines: 2013/14……. 77

Table 34: Budget allocation to HEIs……………………………………………………….. 78

Table 35: Programmes Reviewed for Accreditation in the last Three years ……………….84

Table 36: Contribution of Lecturers to E-Learning (2013/14)……………………………...87

Table 37: Distribution of Computers Available to Academic Staff……………………….. 88

Table 38: Distribution of Computers Available to Students by Institution and Internet

Connectivity: 2013/14……………………………………………………………………… 88

Table 39: Ratios of Students Per Computer by Institution......................................................91

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Acronyms and List of Abbreviations

1

ACCA Association of Certified Chartered Accountants

ASQI Academic Staff Quality Index

BOS Bureau of Statistics

CAS Centre for Accounting Studies

CHAL Christian Health Association of Lesotho

CHE Council on Higher Education

CIPFA Chartered Institute of Public Finance and Accountancy

CIPS Chartered Institute for Purchasing and Supply

COSC Cambridge Overseas School Certificate

ECOL Examination Council of Lesotho

GER Gross Enrolment Ratio

GOL Government of Lesotho

HAART Highly Active Antiretroviral Treatment

HEA Higher Education Act, 2004

HEIs Higher Education Institutions

HEQAC Higher Education Quality Assurance Committee

IDM Institute of Development Management

IE Institute of Education

IEMS Institution of Extra-Mural Studies

IPP Intellectual Property Policy

LAC Lesotho Agricultural College

LCE Lesotho College of Education

LeBoHA Lesotho Boston Health Alliance

LIA Lesotho Institute of Accountants

LIPAM Lesotho Institute of Public Administration and Management

LNC Lesotho Nursing Council

LNFOD Lesotho National Federation of Organisations of the Disabled

LP Lerotholi Polytechnic

LPPA Lesotho Parenthood Association

LRA Lesotho Revenue Authority

LUCT Limkokwing University of Creative Technology

MAC Maluti Adventist College

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MBChB Bachelor of Medicine and Surgery Programme

M&E Monitoring and Evaluation

MoET Ministry of Education and Training

MoF Ministry of Finance

NEPI Nursing Education Programme Initiative

NHTC National Health Training College

NMDS National Manpower Development Secretariat

NUL National University of Lesotho

PMTCT Prevention of Mother to Child Transmission

PSI Population Services International

PSN Paray School of Nursing

QA Quality Assurance

QFL Qualifications Framework for Lesotho

RAHEI Rapid Assessment for Higher Education Institutions

RCN Roma College of Nursing

RSA Republic of South Africa

SADC Southern African Development Community

SECH Student Entrepreneurial Community Hand

SPSS Statistical Package for the Social Sciences

SRC Students Representative Council

SSN Scott College of Nursing

TVET Technical and Vocational Education and Training

UNESCO United Nations Educational, Scientific and Cultural Organisation

VMMC Voluntary Medical Male Circumcision

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Definition of Terms

Academic Attrition Rate – It is the percentage of academic staff leaving the institutions. It is

calculated as the number of academic staff who left the institution for any reason over total number

of academic staff.

Academic Staff Quality Index – It is the proportion of PhD holders among academic staff in the

higher education institutions. It is calculated as number of staff with PhD degrees over total

number of staff.

Gross Enrolment Ratio (GER) – it is the number of students enrolled in higher education

institutions regardless of age as a percentage of the total national population in the appropriate age

group for higher education – which is 18 -22 years in the case of Lesotho.

Higher Education Internationalisation Index - it is the proportion of foreign students and staff

in the higher education institutions. It is calculated as the number of foreign students and staff in

higher education institutions over total number of staff in higher education institutions.

Instructional/academic Personnel – These are personnel whose primary function is teaching

and research. Instructional personnel who are also part of management are included in this

category.

Management - These are personnel whose primary or major responsibility is the management of

the institution or a recognised department or sub-division of the institution. It includes vice

chancellors, deputy vice chancellors, rectors, deputy rectors, principal nurse educators, directors

general, personnel whose primary responsibility is quality control and management of the

institution, other high level administrative/management positions specific to the institution. Staff

members whose core function is management even if they are teaching and researching are also

included in this category.

New Entrants – New entrants to a level of education are students who, during the course of the

current reporting period, enter any programme leading to a recognised qualification at this level

of education for the first time, irrespective of whether the students enter the programme at the

beginning or at an advanced stage of the programme (e.g. by virtue of credits gained for work

experience or courses taken at another level). Individuals who are returning to study at a level

following a period of absence from studying at that same level are not considered to be new

entrants.

Private institution – means an institution registered or preparing to register as such under section

37 of the Higher Education Act of 2004.

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Public institution – means a higher education institution that is established, deemed to be

established or declared as a higher education public institution under section 18 of the Higher

Education Act of 2004.

Research Funding Index – It is the total amount allocated for research expressed as a percentage

of total university expenditure in a given year

Research Publication Index – It is the average number of ‘Peer Review” research publications

per academic staff in a year per higher education institution. It is calculated as the total number

of peer-reviewed publications by all academic staff over total number of academic staff. In the

case of Lesotho, since no peer reviewed publications were provided, it was calculated on the basis

of publications reported.

Support staff - These are personnel who support the academic, administrative, management

functions and operations of the institution. It covers the academic support staff, health and social

support staff, administrative personnel, maintenance and operations personnel.

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Executive Summary

The Council on Higher Education (CHE) produces the State of Higher Education (HE) every two

years since 2011/2012. This report is aimed at monitoring implementation of the Higher Education

Policy together with its strategic plan. There is also Monitoring and Evaluation (M&E) framework

for these key documents which includes a set of 82 performance indicators. This report assesses

performance on implementation of the policy and strategic plan by tracking these indicators.

About 55 indicators have been tracked. It has not been possible to track others due to lack of data

and lack of implementation in some areas. Policy goals which inform the strategic plan and the

M&E framework are as follows:

a) Improving teaching and learning in Higher Education Institutions (HEIs);

b) Strengthening research and innovation in higher education institutions;

c) Improving community engagement by higher education institutions;

d) Aligning higher education programmes with national priorities;

e) Harnessing new information and communications technologies in higher education;

f) Improving access to higher education in Lesotho;

g) Diversifying provision of higher education in Lesotho;

h) Strengthening institutional arrangements for improved coordination and regulation of the

higher education sub-sector;

i) Strengthening mechanisms for quality assurance in higher education;

j) Devising an equitable and sustainable approach to the financing of higher education; and

k) Regular and consistent monitoring of higher education policy implementation.

The information that informed this report comprised both quantitative and qualitative data. The

quantitative data were collected on an annual basis through forms which CHE sends to institutions

every year. Qualitative data were collected through a Rapid Assessment of the HEIs and other key

stakeholders. The data were analysed using Statistical Package for Social Scientists (SPSS)

version 22.

Access to higher education is one of the areas that the policy pays attention to. In 2013/14, there

were 14 HEIs in Lesotho which varied greatly in terms of size and number of students enrolled.

Admission rates into these institutions were low and therefore, the number of new entrants has

declined. The total number of students enrolled in all HEIs in 2013/14 was 23,545. This was a

decline from 26,580 in 2010/11, 25,507 in 2011/12 and 24,073 in 2012/13. The National

University of Lesotho (NUL) has been the largest in terms of its enrolments. Enrolments by

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programme across all institutions indicate that most students were studying towards diploma

qualifications followed by those in bachelor’s degree programmes. There were 11,535 diploma

students and 10,073 degree students in 2013/14. Of great concern is the fact that there are very

few postgraduate programmes and students at both master’s and doctoral levels. Lesotho’s Gross

Enrolment Ratios (GERs) between 2010 and 2014 declined from 12.4 percent to 11 percent. In

comparison to the Sub-Saharan Africa, Lesotho’s ratios were higher. However, compared to

Botswana and Mauritius which had 27.5 percent and 38.7 percent respectively in 2014, Lesotho

is much lower.

One of the indicators takes into account people with disabilities and their access to higher

education. There were 20 students enrolled in three higher education institutions. This is an

improvement from previous years, though still very low. Accessibility of facilities in HEIs by

people of varying disability varies from institution to institution. There were still barriers for

people with disabilities in a number of institutions which impeded movement and thus,

accessibility to some facilities and amenities. This ultimately affects their ability to access

facilities and therefore, their success rate. The enrolment was already low, for it was out of an

estimated total population of 3,434 people with disabilities.

In respect of inward and outward mobility of students, the number of foreign students studying in

Lesotho are declining, whereas, the number of Basotho studying in other countries are increasing.

In 2014 there were 2,912 Basotho students studying outside the country. About 897 of them were

enrolled in South African universities, which constitute almost 30.0 percent. Most of them were

financed by the state through National Manpower Development Secretariat (NMDS) while others

were financed through other various foreign scholarships channelled through NMDS.

The report also looked at indicators relating to staff in HEIs and found that there was a very high

attrition rate resulting in fluctuations in staff moving in and out of institutions. For instance, in

2013/14 there were 226 staff members who left from 10 HEIs. This is very high and it results in

instability and lack of consistency in the offerings of these institutions. The staff quality index for

all institutions except NUL was calculated at masters’ level, while for NUL it was calculated at

PhD level. The reason for using master’s level for other institutions is that they mostly offer sub-

degree programmes which require lecturers with minimum qualification of a bachelor’s degree to

teach. Their overall staff quality index was estimated at 49.9 percent while for NUL it was at 33.7

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percent. Capacity building for staff in HEIs takes different forms including long-term training

towards masters and PhD on the one hand and short-term skills development training on the other.

Research output is generally low in HEIs. There were 237 researches done from 2012 to 2014.

There has been an increase in performance from the previous period, but the figures were of a low

base. One of the reasons advanced for the low output was that there was no dedicated funding for

research from the government subvention for public institutions, thus, they had to make budgetary

allocations from their already meagre resources.

Indicators pertaining to quality assurance in HEIs indicate that establishment of quality assurance

mechanisms in HEIs are at varying stages of development with the majority of them having draft

policies and temporary quality assurance structures in the form of committees. A number of

programmes have been reviewed for accreditation at full/comprehensive review and partial

review. Most of those reviewed have been granted accreditation. There are only four programmes

from two institutions that were not granted accreditation.

An attempt was made to assess whether institutions’ programmes were in line with national

priorities. Most programmes were found to be aligned to the priorities except for the fact that the

majority of them were at diploma and junior degree levels whereas scarce skills are mostly at

higher levels. Furthermore, such factors as graduate employment rate and tracer studies by HEIs

were considered. However, data was not available on graduate employment. Almost all the

institutions did not conduct tracer studies of their graduates except for two. Despite lack of

information, there is a general sense that graduate unemployment is very high. Data from the

Ministry of the Public Service, though not fully reliable, indicates that only three people were

employed within one year of graduation in 2012. In 2014 there were 10, 525 job seekers on the

Ministry’s waiting list, with a backlog of graduate job seekers on the waiting list going as far back

as 2000, 2004 and 2005 depending on different programmes.

In terms of finances of HEIs the report explores their income patterns and revenue streams. It

emerged that public and Christian Health Association of Lesotho (CHAL) institutions which are

in the majority have two main sources of revenue, namely, government subvention and student

fees. With regard to audit of their books of accounts it is a mixed bag of unqualified, qualified and

outstanding audits. Another important trend observed is that audits for most public institutions are

not up to date.

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The following recommendations have been drawn from the findings of the report:

i. The quality of statistical data from HEIs remains problematic. It is therefore critical for

them to improve their data management systems and data quality.

ii. Enrolments at HEIs are on a downward trajectory whereas demand for higher education

keeps increasing. Government through NMDS should increase student support and focus

it specifically on needy students.

iii. NMDS should expedite review of its law and policies in order to pave way for the

introduction of cost-sharing of higher education costs between parents and the state.

iv. HEIs should endeavour to work on staff retention strategies so as to address the massive

staff fluctuations which result in academic instability.

v. Government should increase capital investments into public HEIs so that they can increase

their carrying capacity without compromising quality of teaching and learning.

vi. Programmes offered by local HEIs are generally aligned to the national priorities though

not all priorities are addressed. One of the critical factors, as discussed in the report is that

most programmes are at the sub-degree level whereas the skills shortages are at higher

levels. Institutions should therefore work towards addressing this problem.

vii. There is a dire need for HEIs to diversify programme offerings at the post graduate level

and increase intake particularly at the master’s and Doctoral levels.

viii. Government should approve and implement the Funding Model for Higher Education

public institutions which will in turn improve on mandatory budget allocation to

institutions for research and other components that are critical for improved quality.

ix. Data indicate that some institutions have teaching staff who teach at the same level as their

own qualifications and even above. This is highly irregular, and CHE should enforce its

quality assurance standards to ensure that all institutions comply.

x. Local institutions are low on the internationalisation index which talks to their lack of

competitiveness internationally. They should therefore improve on this front.

xi. While there is an improvement on the institutions’ contribution towards E-learning, there

is still a great deal to be done by HEIs. They should therefore embrace technology fully in

teaching and learning.

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xii. Numbers of students with disability are still very low in HEIs. Institutions should provide

the necessary support and facilities for students with disability to enable them to access

higher education.

xiii. Most institutions do not conduct tracer studies of their graduates. Thus they do not benefit

from feedback on how their graduates are coping in the world of work. Institutions should

therefore undertake periodic tracer studies and utilize information obtained from such.

1.0 INTRODUCTION

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This is the second State of Higher Education Report produced by the Council on Higher Education

in Lesotho. The report presents progress on key performance indicators of the Higher Education

Policy covering the period between 2012/13 and 2013/14. It builds on the 2013 first State of

Higher Education Report and the Baseline Survey of Higher Education Institutions Report

produced by CHE in 2011/2012. The purpose of the report is to monitor implementation of the

Higher Education Policy and Strategic Plan which were approved by Cabinet in November 2013.

Indicators which are used to track progress on these documents are articulated in the Higher

Education M&E Framework. The report is informed by statistical data collected from higher

education institutions annually, together with the findings of a rapid assessment survey on higher

education institutions and other key stakeholders. The various sections of the report are therefore

linked to the goals of the higher education policy which are as follows:

a) Improving teaching and learning in higher education institutions;

b) Strengthening research and innovation in higher education institutions;

c) Improving community engagement by higher education institutions;

d) Aligning higher education programmes with national priorities;

e) Harnessing new information and communications technologies in higher education;

f) Improving access to higher education in Lesotho;

g) Diversifying provision of higher education in Lesotho;

h) Strengthening institutional arrangements for improved coordination and regulation of the

higher education sub-sector;

i) Strengthening mechanisms for quality assurance in higher education;

j) Devising an equitable and sustainable approach to the financing of higher education; and

k) Regular and consistent monitoring of higher education policy implementation.

The report covers the methodology used for collection of data, its processing and compilation. It

discusses access to higher education, focussing specifically on issues such as admission rates at

HEIs. It looks at enrolments disaggregated by types of programmes being studied, qualifications,

age, and students with disability, among others. It goes further to look at enrolment ratios and their

trends from 2010 to 2014 and compares them with those of other countries in the Southern African

Development Community (SADC) region and beyond. Moreover, the report deals with mobility

of higher education students from other countries coming to study in local institutions on the one

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hand, and mobility of Basotho students studying in other countries on the other. The analysis of

inward and outward mobility of students is done with a view to understanding the extent to which

local institutions are able to attract foreign students, while on the other hand it is to establish how

many Basotho students are studying outside the country, fields of study they are in, and countries

in which they are studying.

The report delves into the analysis of graduates of HEIs looking at their performance, focussing

specifically on end of programme examinations. Pass rates and student completion rates form part

of the analysis. This analysis helps to engage institutions on their internal efficiency. For instance,

the assessment of the proportion of students who complete their studies successfully was done.

The assessment also looked at the performance of students by field of study to check which fields

are consistently failed or passed by students.

Teaching and learning is at the heart of the education enterprise. The report therefore, analyses

this important area. It discusses issues related to staff within different institutions looking at their

qualifications, countries of origin, attrition rates and the extent to which institutions build capacity

of their staff. The quality of staff is also dealt with in order to establish the proportion of PhD

holders in each institution, and the number of master’s degree holders in institutions that offer

bachelor’s degrees as the highest qualifications and sub-degree programmes. Moreover, the report

covers research and innovation in which such issues as research output by staff members, research

funding, collaborations on research with other institutions both in and outside the country, and

programmes in HEIs that have a research component.

Finances of HEIs are addressed in the report as well. The institutions’ revenue streams and their

sources of income are discussed in depth. The expenditure patterns of institutions are also

analysed. Community engagement by HEIs is one of the areas that are discussed in the report.

Quality assurance mechanisms in HEIs as a critical component for the success of HEIs are covered

extensively. The report also deals with the extent to which HEIs harness Information and

Communication Technologies (ICTs) to improve teaching, learning and research. It goes further

to check the extent to which HE programmes are aligned to National Priorities. Finally, the report

ends with a conclusion and outlines recommendations for consideration by CHE, Ministry of

Education and Training (MOET) and HEIs.

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2.0 METHODOLOGY

As with the previous State of Higher Education Report, data were collected through a combination

of quantitative and qualitative methodologies. Quantitative data were collected annually from

higher education institutions through the Annual Statistical Tertiary Return Form. Data sought

using the forms covered information on enrolments, staff and fees from 2011/12 to 2013/14.

CHE also undertook The Rapid Assessment of Higher Education Institutions (RAHEI) from

November 2015 to January 2016. The study collected both quantitative and qualitative data from

all HEIs relating to access to higher education institutions, teaching and learning, accessibility of

HEIs to persons with disabilities, state of infrastructures, financial status of HEIs, ICT, research

output, quality assurance mechanisms, involvement in community engagement and alignment of

HE programmes with national priorities. The findings of the study were used to supplement data

collected through the Annual Statistical Tertiary Return Form. A structured questionnaire was

administered by a consultant at higher education institutions.

In addition to information obtained from HEIs, secondary data were also obtained from other

sources with relevant information for tracking of various performance indicators. These include

National Manpower Development Secretariat (NMDS), Ministry of Social Development, Ministry

of Public Service, Lesotho National Federation of Organisations of Disabled (LANFOD), Bureau

of Statistics (BOS), Lesotho Revenue Authority (LRA) and Examination Council of Lesotho

(ECOL).

Furthermore, official documents which relate to the study were consulted and they include the HE

Act, HE Policy, the Higher Education M&E Framework, UNESCO publications and databases.

2.1 Limitations

• There were gaps on information on applicants to higher education institutions. 2010/11 –

2011/12 data were not available hence analysis relating to admissions was done only for two

years – 2012/13 and 2013/14. Data on applicants for other HEIs were not provided.

• Data on qualifying applicants were only available for a selection of institutions. Hence

analysis was based on a few institutions where such data were available.

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• Information on students who passed the Lesotho General Certificate of Secondary Education

(LGCSE) examinations and qualify for higher education could not be determined due to the

nature of ratings done with LGCSE. As a result, admission rates were calculated on the basis

of the number of applicants.

• Admission rates could not be disaggregated by gender due to non-availability of gender

specific data on applicants.

• The rapid assessment left out some of the information crucial for calculating indicators for

higher education. The reasons were that data were not available or that the consultant missed

that data or that some organisations and institutions were not responsive.

• There were gaps in information relating to staff attrition at institutions. Such information is

normally collected annually. However, due to the challenges experienced with the quality of

that data, HEIs were requested to re-submit information. Some HEIs did not comply while

others submitted using different formats despite several follow-ups. Analysis was therefore

based on only those who submitted the required information.

3.0 ACCESS TO HIGHER EDUCATION

It is critical that higher education is accessible to all qualifying Basotho regardless of their

economic or social standing. The Lesotho Constitution commits the state to making higher

education equally accessible to all Basotho who are eligible. The Higher Education Policy, which

aims to address the issue, states that the number of HE places is expected to more than double over

the next ten years in order to accommodate the demand from different groups of prospective

students including school leavers, delayed entrants to the system, those upgrading their

qualifications, mature age entrants and international candidates. In order to check whether any

achievements were made in relation to improving access to higher education, the report evaluated

the existing institutions, admissions, enrolments and provision of information to prospective

students to ensure access to information about different HE providers in Lesotho.

3.1 Higher Education Institutions in Lesotho

As one of the strategies to improve access to higher education, the higher education sub-sector

plans to increase the number of places available and to broaden the range of programme offerings

for Basotho who wish to pursue higher education. To this end, slight improvements have been

observed in relation to the number of places available. One institution runs in partnership between

Page 20: Council on Higher Education (CHE)

19

the Ministry of Health and Boston University in the United States of America. The Lesotho

Boston Health Alliance (LeBoHA), based in Leribe district, was established in 2011 though data

collection in that institution only started in 2012/13. The institution offers a post graduate

qualification in Family Medicine Specialty for practicing doctors. One private institution was

registered and started its operations in 2015, the period outside the scope of this report. The number

of institutions therefore increased from 13 in the last reporting period (2011/12) to 14 in 2013/14.

Nine of these were public and 5 were private. Figure 1 shows that two (2) of the institutions are

universities, eight (8) are college-level institutions offering different disciplines including teacher,

technical, agricultural, health, professional training and other disciplines. The rest are nursing

colleges/schools owned and administered by the CHAL.

Figure 1: Higher Education Providers in Lesotho

However, more effort is still necessary by different parties/stakeholders to increase the number

of places available to improve access to higher education. More should also be done to encourage

private sector participation in the provision of higher education. Such an increase will help lessen

the burden on the existing institutions in the long run and thus provide access to all those who

qualify.

HEIs (14)

Universities (2)

•NUL

•LUCT

College-level HEIs (7)

•NHTC

•LAC

•LIPAM

•IDM

•LP

•CAS

•LCE

Centres (1)

•LeBoHA

Denominationally Owned and administered HEIs (4)

•RCN

•SSN

•PSN

•MAC

Page 21: Council on Higher Education (CHE)

20

3.2 Admission rates at Higher Education Institutions

In order to assess the demand for higher education and check the absorptive capacity of

institutions, the report considered the number of students who sat for higher secondary school

leaving examinations, applications received by HEIs between 2011/12 and 2013/14 and those who

ultimately got admission into higher education institutions. The information was then used to

calculate the admission rates. Information on such variables was obtained from various sources.

ECOL pass lists were used for students who sat for examinations and information on applicants

was collected through the rapid assessment of higher education institutions undertaken in 2015 to

supplement the one collected annually from HEIs. The information was only available for two

years, namely: 2012/13 and 2013/14 for 13 institutions. LeBoHA was excluded as it did not have

any applicants during that period.

The findings showed that there were 21,530 and 18,977 applicants to HEIs in 2012/13 and 2013/14

respectively. This indicates notable decrease of 11.9 percent in the number of applicants to HEIs

from 2012/13 to 2013/14. Further classification of the number of applicants by institution in

2012/13 showed that majority (22.8%) applied to Lesotho College of Education (LCE) followed

by NUL, Limkokwing University of Creative Technology (LUCT), National Health Training

College (NHTC) and Lerotholi Polytechnic (LP) with 17.7 percent, 13.5 percent, 12.4 percent and

10.8 percent respectively (see Figure 2). In 2013/14, the decline in the number of applicants was

likely to have been caused by the decrease in number of applicants in seven of the institutions

namely: NHTC, LP, LCE, Centre for Accounting Studies (CAS), Lesotho Agricultural College

(LAC), Paray School of Nursing (PSN) and Lesotho Institute of Public Administration (LIPAM).

Page 22: Council on Higher Education (CHE)

21

Figure 2: Number of Applicants by Institution: 2012/13 – 2013/14

The study also examined the number of applicants that qualified for admission into the higher

education institutions. The analysis was based on only seven (7) institutions that provided

information and the results are presented in Table 1. In both 2012/13 and 2013/14, more than 70.0

percent of the applicants qualified for admission into higher education institutions. This was the

case for most institutions with the exception of LP and LIPAM having proportions of less than

half in both years.

Table 1: Number of Students Qualifying for Admission by Higher Education Institution:

2012/13 - 2013/14

2012/13 2013/14

Institutions Applicants Qualifying

applicants

% of

qualifying

applicants

Applicants Qualifying

applicants

% of

qualifying

applicants

RCN 180 180 100.0 633 633 100.0

SSN - - - 350 350 100.0

PSN 400 320 80.0 383 286 74.7

LCE 5087 3765 74.0 4331 3748 86.5

LP 2814 1012 36.0 2044 901 44.1

NHTC 5515 5515 100.0 2360 2360 100.0

LIPAM 772 241 31.2 617 228 37.0

Total 14768 11033 74.7 10718 8506 79.4

Page 23: Council on Higher Education (CHE)

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3.3 New Entrants

Information was collected on the number of students admitted at institutions between 2011/12

and 2013/141. These included only new students who accepted their admission and were

considered as “new entrants into tertiary”, irrespective of whether they entered at the beginning or

advanced stage of the programme. In 2012, a total of 13, 739 students sat for secondary school

leaving examinations out of which 7,616 (55.4%) passed. Not all students who qualified for

admission to tertiary institutions were admitted. This was due to the limited number of places

available, coupled with the NMDS quota for students to be sponsored that is usually given to HEIs

at the beginning of every year. The quota system was introduced by NMDS in 2010 due to the

increase in the fees of institutions and increasing demand for sponsorships.

In 2013/14, the number of new entrants to institutions was estimated at 6086 with 58.5 percent

females and 41.5 percent males (see Table 2). The majority were enrolled in the four (4) largest

institutions, namely: NUL, LCE, LUCT and LP with proportions of 25.6 percent, 20.4 percent,

16.7 percent and 13.1 percent respectively.

Table 2: Admissions/New Entrants by Institution: 2011/12 – 2013/14

Institution 2011/12 2012/13 2013/14

Male Female Total Male Female Total Male Female Total

NUL 1423 1087 2510 727 1079 1806 622 933 1555

IDM 78 110 188 55 57 112 83 158 241

RCN 5 16 21 14 39 53 9 30 39

SSN 7 17 24 13 51 64 15 81 96

PSN 0 21 21 14 50 64 14 39 53

MAC 7 26 33 17 46 63 9 57 66

LUCT 567 630 1197 464 498 962 498 518 1016

LCE 269 779 1048 306 532 838 397 847 1244

LAC 59 59 118 80 63 143 90 76 166

LP 878 352 1230 580 272 852 494 301 795

NHTC 72 234 306 71 215 286 45 149 194

CAS 203 284 487 201 297 498 215 256 471

LIPAM 52 144 196 48 149 197 36 114 150

Total 3620 3759 7379 2590 3348 5938 2527 3559 6086

% Total 49.1 50.9 100.0 43.6 56.4 100.0 41.5 58.5 100.0

% Change - - - -28.5 -10.9 -19.5 -2.4 6.3 2.5

1 No information was collected on new entrants in 2010/11

Page 24: Council on Higher Education (CHE)

23

It is shown in Table 2 that the number of new entrants at tertiary institutions declined by 19.5

percent from 2011/12 to 2012/13. An overall improvement of 2.5 percent was observed in

2013/14. This was particularly due to increased number of new entrants in six (6) of the

institutions, namely Institute of Development Management (IDM), Scott School of Nursing

(SSN), Maluti Adventist College (MAC), LUCT, LCE and LAC. An improvement in the

admission of new entrants was largely observed among female students with an increase of 6.3

percent from 2012/13 to 2013/14.

3.4 Admission rates at Tertiary institutions

In order to check the absorptive capacity of institutions, the admission rates were calculated. It

measures the number of students admitted at tertiary institutions relative to the number of

applications received. However, due to unavailability of data on admissions for other years,

admission rates were only calculated for 2012/13 and 2013/14. According to the available data,

the number of applications received by HEIs far exceeded the number of students admitted at HEIs

in Lesotho. This is confirmed by the lower admission rates as presented in Table 3. The overall

admission rates for both years averaged 29.9 percent. In 2013/14, admission rates were lower than

50 percent in all the institutions. CAS was the only exception with 68.2 percent. It was followed

by IDM and NUL with 49.6 percent and 46.2 percent respectively. In 2012/13, NUL and CAS

had admission rates of 81.9 percent and 54.8 percent respectively. NUL admission rates were

higher during that period due to a special arrangement made with Government through NMDS for

additional students to be financed. This was due to the fact that NUL admitted more students and

therefore a decision had to be made by Government for additional funding for sponsorship.

Table 3: Admission Rates by Institution: 2012/13 – 2013/14

Page 25: Council on Higher Education (CHE)

24

Institutions 2012/2013 2013/2014

Applicants Admissions Admission rates

Applicants Admissions Admission rates

NHTC 5515 286 5.2 2360 194 8.2

LCE 5087 838 16.5 4331 1244 28.7

MAC 149 63 42.3 160 66 41.3

PSN 400 64 16.0 383 53 13.8

RCN 180 53 29.4 633 39 6.2

NUL 2206 1806 81.9 3363 1555 46.2

SSN - 64 - 350 96 27.4

IDM 478 112 23.4 486 241 49.6

LUCT 2007 962 47.9 2560 1016 39.7

LAC 1014 143 14.1 999 166 16.6

CAS 908 498 54.8 691 471 68.2

LP 2814 852 30.3 2044 795 38.9

LIPAM 772 197 25.5 617 150 24.3

Total 21530 5938 27.6 18977 6086 32.1

The admission rates were also calculated on the basis of qualifying applicants as illustrated in

Table 4. However, they were based on seven institutions that provided information. Close to a

quarter (25.6%) of qualifying applicants were admitted into tertiary institutions in 2013/14, an

improvement of 4.3 percent from the 2012/13 overall admission rate of 21.3 percent. However,

the high admission rates of the students that qualified were only observed in LP and LIPAM while

the rest of the institutions admitted 30 percent of the applicants at the most. This still confirms

the low admission rates of qualifying students at most of the institutions.

Table 4: Admission Rates of Qualifying Applicants by Institution: 2012/13 – 2013/14

Institutions 2012/2013 2013/2014

Qualifying applicants

Admission Admission rates

Qualifying applicants

Admission Admission rates

RCN 180 54 30.0 633 39 6.2

SSN - 64 - 350 96 27.4

PSN 320 64 20.0 286 53 18.5

LCE 3765 838 22.3 3748 847 22.6

LP 1012 852 84.2 901 795 88.2

NHTC 5515 286 5.2 2360 194 8.2

LIPAM 241 197 81.7 228 150 65.8

Total 11033 2355 21.3 8506 2174 25.6

Page 26: Council on Higher Education (CHE)

25

The low admission rates by local HEIs mean that these institutions have a low absorptive capacity.

Absorptive capacity of an institution is determined by its teaching and learning facilities together

with resources such as lecturers. If there is no improvement on the capacity of institutions to carry

more students without compromising quality of teaching and learning, institutions will always be

limited in the numbers that they can admit. This has dire consequences for qualifying students

who are not able to access higher education. The higher education policy has proposed

construction of new public institutions for both higher education and Technical and Vocational

Education and Training (TVET). Furthermore, the Funding Model for higher education public

institutions proposes increased capital investment by government into all public institutions over

a ten year period. The model has been approved at the ministerial level and is awaiting approval

by Cabinet. If it is implemented, it will go a long way in improving the absorptive capacity of

institutions, for it proposes capital injection into higher education public institutions for

infrastructure over a ten year period.

With Lesotho being one of the least developed countries, one of the main determining factors for

enrolments into HEIs, besides teaching facilities and resources, is financial support for students.

There are limitations on financial support by the state. This results in fewer students accessing

higher education. Thus, low admissions are a function of HEIs’ low absorptive capacity and

inadequate funding for qualifying students.

3.5 Enrolments at Tertiary Institutions

The Higher Education policy states that enrolment is expected to more than double in the next ten

(10) years. Progress relating to enrolment was measured from 2014 when the Policy was effected

and it was evaluated on the basis of students enrolled at local HEIs. The number of students

pursuing tertiary education in Lesotho was estimated at 23,545 in 2013/14, 58.5 percent were

females whereas 41.5 percent were males. Similar to the previous years, NUL, LCE, LUCT and

LP had the largest number of students enrolled (see Figure 3). More than 80 percent of the students

were enrolled in public institutions, mostly NUL, LCE and LP, as has been the trend since 2010/11.

Private institutions enrolled less than 20 percent of the students throughout the years as presented

in Figure 4.

Page 27: Council on Higher Education (CHE)

26

Figure 3: Enrolment by Institution and Gender for 2013/14

Figure 4: Enrolment Trends by Type of Institution

It is hoped that with the establishment of new private institutions, more spaces will be created,

hence improving access to HE.

Figure 5 also illustrates the enrolment trends between 2010/11 and 2013/14. It is evident that

enrolments continued to decline since 2010/11 when CHE started collecting data from the HEIs.

For instance, the 2013/14 enrolment was lower than the number enrolled in the previous year

0

5000

10000

15000

20000

25000

2010/11 2011/12 2012/13 2013/14

2248621529

20552 19888

4094 3978 3521 3657

Nu

mb

er

of

Stu

de

nts

En

rolle

d

Public Private

Page 28: Council on Higher Education (CHE)

27

(2012/13) by 2.2 percent. The decline is in spite of the high demand for higher education. Further

investigation is necessary to determine reasons for the declining trends.

Figure 5: Enrolments by Gender: 2010/11 to 2013/14

3.6 Enrolment by age

As revealed from the previous reports, most students enter HE between the ages of 20 - 25 years

and 30-34 years. This was also the case in 2013/14 as these age groups constituted 59.7 percent

and 9.7 percent respectively (see Figure 6). More than half (52.4%) of the 30-34 year olds were

enrolled at NUL followed by LCE with 28.1 percent, understandably so as they offered adult part-

time programmes. The proportion of LCE and NUL students in part-time undergraduate

programmes at this age stood at a high figure of 53.7 percent, but lower as opposed to the 2011/12

figure of 69 percent. The rest were in post graduate and undergraduate full time programmes.

Figure 6: Enrolment by age for 2013/14

2010/11 2011/12 2012/13 2013/14

Male 10,802 10,355 9,959 9,761

Female 15,778 15,152 14,114 13,784

Total 26,580 25,507 24,073 23,545

0

5,000

10,000

15,000

20,000

25,000

30,000

Nu

mb

er

of

stu

de

nts

Page 29: Council on Higher Education (CHE)

28

Trends in enrolments by age were also looked into. Data points for only two years were considered

due to differing age groups that were used for other years. Despite the declining trends in

enrolments over the years, more and more younger students were enrolled in higher education

from 2012/13 to 2013/14. This is evident from Table 5, which shows that the number of students

aged 18, 20 - 23 and 25-26 years increased, though by small margins ranging between 0.1 percent

and 10.4 percent.

Table 5: Enrolment by Age: 2012/13 - 2013/14

13

574

1031

2130

2784 2846

2623

2038

1559

1222

801726

624

2273

1261

553

303181

30

500

1000

1500

2000

2500

3000

<18 18 19 20 21 22 23 24 25 26 27 28 29 30-3435-3940-4445-49 >49 No

age

No.

of

stu

den

ts e

nro

lled

Student's age

Page 30: Council on Higher Education (CHE)

29

Age 2012/13 2013/14 % change

<18 37 13 -64.9

18 520 574 10.4

19 1220 1031 -15.5

20 2081 2130 2.4

21 2609 2784 6.7

22 2764 2846 3.0

23 2526 2623 3.8

24 2091 2038 -2.5

25 1558 1559 0.1

26 1112 1222 9.9

27 930 801 -13.9

28 780 726 -6.9

29 661 624 -5.6

30-34 2428 2273 -6.4

35-39 1438 1261 -12.3

40-44 667 553 -17.1

45-49 390 303 -22.3

>49 261 181 -30.7

No age - 3 -

24073 23545 -2.2

Out of a projected total population of 1,9 million in Lesotho in 20142, a total of 23,545 students

were enrolled. This represented 1.2 percent of the population. However, the international

standards calculate participation rates of youths by comparing the total number of students aged

18-25 enrolled in higher education institutions relative to the population of youth aged 18-25. The

rate was estimated at 4.6 percent of the population of youth in that age group. The rate was still

low compared to the total population of the youth. On the other hand, the participation rate of

adult students from ages 26- 50 years enrolled in higher education institutions was much lower as

it was estimated at 1.5 percent of the population in that age group.

Another indicator that the report has to track relates to participation rates at HEIs measured using

the gross enrolment ratio. This refers to the total enrolment in tertiary education, regardless of

age, expressed as a percentage of the total population aged between 18 and 22 years following on

from secondary school leaving. The ratio was estimated at 11.0 percent for 2013/14. Contrary to

other Sub-Saharan countries such as Mozambique (GERs 5.0% females, 7.0% males), Zimbabwe

2 Bureau of Statistics

Page 31: Council on Higher Education (CHE)

30

(5.4% females, 6.3% males), Ethiopia (3.7% females, 8.8% males) and Tanzania (2.5% females,

4.9% males), with lower participation rates of women, women in Lesotho are more advantaged in

terms of participation in higher education. This is confirmed by the GER of 12.9 percent for

females compared to 9.1 percent for males. The GER has been declining since the beginning of

the review period as confirmed by Figure 7. This is commensurate with the declining trends in

enrolments observed in Section 3.5.

Figure 7: Gross Enrolment Ratios: 2010/11 - 2013/14

When compared with the rest of the world, Figure 8 shows that Lesotho’s GERs over the years

have been higher (although declining) than that of Sub-Saharan Africa as was also revealed by the

previous State of HE Report. They ranged from 12.4 percent to 11.0 percent between 2010 and

2014 while Sub-Saharan Africa had 7.6 percent to 8.2 percent during that period. However,

compared to countries such as Botswana 27.5 percent in 2014 and Mauritius 38.7 percent,

Lesotho’s GERs are lower. They were however, very close to GERs for the African continent

averages which ranged between 11.7 percent and 12.1 percent over the same period. However,

they were far below the world GERs averaging 32.0 percent. The declining trends in participation

levels by the population eligible for higher education in Lesotho remains a challenge that needs to

be addressed to ensure that all eligible people are able to access higher education.

Figure 8: Tertiary Gross Enrolment Ratios by Country/Region: 2010/11 to 2013/14

2010/11 2011/12 2012/13 2013/14

Male 10.1 9.7 9.3 9.1

Female 14.7 14.1 13.2 12.9

Both sexes 12.4 11.9 11.2 11.0

0

2

4

6

8

10

12

14

16

Gro

ss E

nro

lme

nt

Rat

ios

Page 32: Council on Higher Education (CHE)

31

3.7 Enrolment by Type of Programme and Qualifications

HEIs in Lesotho offer both undergraduate and post graduate programmes. Most students (90.1%)

were enrolled at undergraduate level during 2013/14 as has always been the case in the past. As

shown in Figure 9, about half of enrollees (44.2%) were studying towards Diploma qualification

followed by degree with 44.7 percent. There were students studying for professional programmes

who made up a small proportion of 8.1 percent. These were students studying at CAS and those

in procurement and supplies programmes offered by IDM who could not be categorised according

to the normal qualifications offered by other institutions as they are not covered by the current

qualifications framework. It therefore emphasises the need for revision of the current framework

to accommodate such programmes.

Figure 9: Enrolment by Qualification being studied

0.0

5.0

10.0

15.0

20.0

25.0

30.0

35.0

40.0

Botswana Lesotho Mozambiqu

e

Zimbabwe Mauritius Sub-

Saharan

Africa

Africa World

2010 19.2 4.5 5.2 33.7 7.7 11.7 29.3

2011 17.1 12.4 4.8 5.8 35.2 7.9 11.5 31.0

2012 18.1 11.9 5.1 5.9 38.7 8.0 11.7 32.3

2013 25.0 11.2 5.0 5.9 39.7 8.2 12.1 32.9

2014 27.5 11.0 5.6 38.7

Page 33: Council on Higher Education (CHE)

32

It is worth noting that only 1.8 percent of students were in postgraduate programmes such as

honours, masters and PhD. This may be due to the limited number of HEIs offering postgraduate

programmes as they were only offered at NUL, CAS and LeBoHA, as presented in Figure 10. It

should be noted that only programmes that were running in 2013/14 were included. Also, there

were limited options in the number and types of programmes offered in those institutions. This

therefore justifies why students go to study outside the country where there are a variety of options.

The implications of not having strong postgraduate programmes in the country are that the country

has a weak and limited research base. A closer look at the numbers showed that of the 442 students

in postgraduate programmes, 32 were master’s degree students and only one was PhD. During

the same year, Botswana had 208 PhD students while Mauritius had 280 out of 2442 and 3768

postgraduate students in those countries respectively. This made up 8.5 percent and 7.4 percent of

their postgraduate population. The value of having many PhD students is in the fact that they

broaden a country’s research base and generate new knowledge which leads to innovation and

solutions to societal problems, and the fact that postgraduate students tend to assist in teaching

and research which provides professors an opportunity to undertake research and mentor young

researchers. With this dire shortage at the post graduate research-based programmes, the country

is deprived of critical opportunities for growth. Already, Lesotho has a very low research output.

It does not have a structure at the national level dedicated to promoting and supporting research,

nor does it have consistent and dedicated funding for research. Furthermore, HEIs have low

research output and lack physical and human resources as a result of inadequate funding among

other things. This does not augur well for the developmental prospects of the country.

0

1000

2000

3000

4000

5000

6000

7000

PHD Master Honours/Postgradu

ateDiploma

Degree Diploma Certificate

Advanced/higherDiploma

Professional

Male 1 10 248 3842 4341 428 76 815

Female 0 22 161 5811 6056 379 250 1105

No

. o

f St

ud

en

ts E

nro

lled

Page 34: Council on Higher Education (CHE)

33

Figure 10: Postgraduate Programmes Offered at HEIs in Lesotho: 2013/14

3.8 Enrolment by Field of Study

In addition to increasing the number of places available, the higher education policy proposed

broadening the range of programme offerings for Basotho who wish to pursue higher education.

In 2013/14, there were 138 programmes running in institutions. For international comparability,

such programmes are categorised according to the United Nations Educational, Scientific and

Cultural Organisation (UNESCO) fields of Education as presented in Table 6. It is evident from

Table 6 that most programmes offered are in social sciences with 21.0 percent and include

accounting programmes, marketing, business related courses, management and others.

Engineering and construction followed with 16.7 percent of the total programmes. The other

science related programmes account for 24.6 percent and include the nursing programmes offered

by SSN, Roma College of Nursing (RCN), MAC, PSN and NHTC categorised as health and

welfare programmes , computing, as well as pure sciences.

Table 6: Fields of Study offered by HEIs in Lesotho

Fields of Study Number of Programmes % Share

Education 18 13.0

Manufacturing and Processing 4 2.9

Computing 9 6.5

CAS

•Chartered Accountancy

LeBoHA

•Family Medicine Specialty Training Program

NUL

•Master of Arts in Education

•Master of Arts in Public Administration

•Master of Education

•Master of Education (Adult Education)

•Master of Science (Economics)

•Master of Science in Education

•Master of Science in Sociology

•PhD in English Language & Linguistics

•Postgraduate Diploma in Education

Page 35: Council on Higher Education (CHE)

34

Journalism, broadcasting and information

4 2.9

Humanities and Arts 7 5.1

Social Sciences 29 21.0

Sciences 7 5.1

Engineering and Construction 23 16.7

Agriculture 8 5.8

Health and Welfare 18 13.0

Tourism and Services 10 7.2

Law 1 0.7

138 100.0

The programmes offered by HEIs across the country are supposed to be in line with the country’s

priority needs. However, a national human resources development policy and plan which are

aimed at identifying and addressing the manpower needs of the country have not yet been

developed. Most scarce skills are not addressed by programmes offered by the local HEIs as they

are specialised fields. Most of the programmes offered locally are at lower levels of diploma and

bachelor’s degree whereas scarce skills needs are at the higher levels of specialisation. This

therefore justifies why some students study in institutions outside the country.

Table 7 presents students by programmes that they were enrolled in during 2013/14. Roughly,

33.7 percent and 30.8 percent were enrolled in social sciences and education-related programmes

respectively. Both programmes were dominated by females. Even though there is a need for

graduates in science-related fields in the country, the results showed that students in these fields

that include computer related programmes, pure sciences and engineering and construction only

accounted for 15.7 percent of the student population. These programmes were largely dominated

by male students. With the addition of health and welfare programmes in science related fields,

the proportion increased to 24.3 percent of the total enrolment.

Table 7: Enrolment by Field of Study: 2013/14

Fields of Study Male Female Total % Total

Education 2287 4975 7262 30.8

Manufacturing and Processing 51 144 195 0.8

Computing 429 262 691 2.9

Page 36: Council on Higher Education (CHE)

35

Journalism broadcasting and

information

155 244 399 1.7

Humanities and Arts 118 127 245 1.0

Social Sciences 3025 4915 7940 33.7

Sciences 356 183 539 2.3

Engineering and Construction 1940 536 2476 10.5

Agriculture 397 245 642 2.7

Health and Welfare 573 1449 2022 8.6

Tourism and Services 310 501 811 3.4

law 120 203 323 1.4

Total 9761 13784 23545 100.0

As shown in Figure 11, students in Science related fields were predominantly enrolled in lower

level qualifications as more than half (53.2%) were diploma students followed by degree with 34.1

percent. Not many students were enrolled in higher level qualifications as only 3.2 percent did

honours/postgraduate and were mainly in health sciences.

Figure 11: Proportion of Students in Science Related Fields by Qualification

3.9 Enrolment of students with disability

The Higher Education Policy makes reference to some of the international protocols that Lesotho

is party to. One such protocol is the United Nations (UN) Convention on the Rights of Persons

with Disabilities adopted in 2006. Like other countries, Lesotho has made strides in dealing with

issues relating to persons with disability with a civil society organisation, with the LANFOD

Certificate9.4%

Diploma53.2%

Degree34.1%

Honours/postgraduate3.2%

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36

serving as a platform for them. There is a government department dedicated to social welfare

which includes people with disabilities.

This section discusses issues relating to safeguarding the rights of equitable access to HE for

people living with disability. The total population of youth with disability was estimated at 3,434

in 2014. A total of 20 students with disability were enrolled in undergraduate programmes at only

three institutions, namely: NUL, LCE and LUCT. About 60 percent were males whereas 40

percent were females aged between 20 and age group 30-34 years. They were enrolled in

education, science, law, tourism, business management, broadcasting and journalism. Comparing

this to the population of students enrolled, they account for 0.08 percent of the students. This is an

improvement of 0.04 percent from the previous years where the ratio stood at 0.04 percent. Close

to half (40.0%) were visually impaired and a further 35 percent had intellectual disability. The

low enrolment may have been attributed to the fact that the key infrastructure within HEIs such as

laboratories, libraries, lecture rooms do not generally cater for persons with disabilities. Most

teaching and learning physical facilities are not accessible by wheel chair and computers have not

been adapted for the blind. Interviews held with LANFOD during the Rapid Assessment revealed

a number of barriers for disabled persons to access HE in Lesotho, as presented in Table 8, and

suggestions on possible solutions.

Table 8: Barriers of Access to HE by Persons with Disabilities and Possible solutions

Barriers to access to HE by disabled

persons

Possible solutions to problems faced by disabled persons in

HEIs

High school curriculum is not flexible to adjust

to different needs.

Policies within HEIs should be clear about how people with

disabilities are included. For example, application forms should

include section on what their needs are.

Limited support services in high school. For

example, equipment for sign language is

Government allocation of the budget for education should take

into consideration people with disability.

Page 38: Council on Higher Education (CHE)

37

confined to a specific school, and only a few

high schools provide support for certain types

of disability.

Special education offered is not very practical

and is very basic. For example, sign language

differs according to countries

There is need to increase representation by people with disability

in policy-making decisions

Physical access to HEIs is still limited. For

example, most of the old sections of institutions

are still inaccessible by wheelchair and there are

no ramps.

Construction of new buildings should include this adjustment

Challenges in accessing information that

pertains to admission of people with

disabilities.

The application forms can be adjusted to have sections for people

with disability where they can indicate some of the structures or

equipment they might need.

It is therefore evident that Lesotho still does not meet its obligations in ensuring access to HE by

persons with disabilities hence more effort is necessary. For the country to address such barriers,

the Rapid Assessment findings have recommended that transparent policies be developed on the

inclusion of disabled persons. Budget allocations should include disabled persons, increase

representation of disabled persons in policy-making decisions and construction of infrastructure

to accommodate disabled persons in the HEIs.

4.0 INBOUND AND OUTBOUND MOBILITY OF STUDENTS

Student mobility between their own countries and foreign countries is an important factor to

consider in dealing with higher education. Worldwide, students pursue their studies either within

their countries or internationally. Factors which determine student movement internationally

include type, level and quality of programmes offered in certain countries; teaching and learning

environment; quality of teaching staff and opportunities for research and innovation, among

others. Inbound mobility sheds light on where foreign students in a country come from whereas

outbound mobility measures students from a specific country studying abroad. The former is

encouraged for its economic benefits because international students bring foreign currency. It also

has academic and social value. Highly rated institutions have large numbers of foreign students

and highly diverse student populations. The outbound mobility is mostly driven by inadequacies

in programme offerings in countries of origin and need for exposure. Lesotho, like other countries,

has institutions that have enrolled foreign students. There are Basotho students studying abroad as

well.

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38

4.1 Inbound Mobility/Enrolment by Country of Origin

The SADC Protocol on Education and Training requires that HEIs in the member states reserve at

least 5 percent of their admissions to students from other SADC countries3. In 2013/14, a total of

23,545 students were enrolled in HEIs in Lesotho, as shown in Table 9. Comparing this to the total

population of Lesotho, it makes up roughly 1.2 percent of the population. The results revealed

that enrolment of local students occupied the largest share of 99.6 percent. There were only 103

students enrolled from other countries, down from 127 foreign students in 2011/12 and 105

students in 2012/13. This represents only 0.4 percent of the total students enrolled in 2013/14 and

is by far below the SADC recommended 5 percent. It is therefore crucial for Lesotho to improve

the quality of its HE system so that it can be able to compete and attract a larger share of mobile

students and achieve its international obligations like other Sub-Saharan African countries. This

includes Botswana and Mauritius which were able to attract a slightly larger share of 988 and 1546

international students, equivalent to 1.6 percent and 3.8 percent of their student population

respectively in 2013/14.

Table 9: Students Enrolled at HEIs in Lesotho by Institution and Country of Origin: 2013/14

Institution Lesotho RSA Botswana Swaziland Zimbabwe Uganda Zambia Nigeria Other Total

NUL 9498 4 17 11 10 0 3 3 8 9554

IDM 486 0 0 0 0 0 0 0 0 486

RCN 118 0 0 0 0 0 0 0 0 118

SSN 149 0 0 0 0 0 0 0 0 149

PSN 121 0 0 0 5 0 2 0 0 128

MAC 177 0 0 1 4 0 2 0 0 184

LeBoHA 1 0 0 0 0 0 0 0 0 1

LUCT 3069 2 0 0 5 2 0 0 0 3078

LCE 4128 1 0 0 1 0 0 0 0 4130

LAC 446 0 0 0 0 0 0 0 0 446

LP 2794 0 0 0 2 0 0 0 1 2797

NHTC 498 0 0 3 2 0 0 0 1 504

CAS 1631 0 1 0 0 0 0 1 0 1633

LIPAM 337 0 0 0 0 0 0 0 0 337

Total 23453 7 18 15 29 2 7 4 10 23545

% Total 99.6 0.0 0.1 0.1 0.1 0.0 0.0 0.0 0.0 100.0

About 98.9 percent of the foreign students come from Sub-Saharan Africa, largely Zimbabwe,

Botswana and Swaziland as has been the case in the past as presented in Figures 12 and 13.

3 1997 SADC Protocol on Education and Training, Article 7

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39

Figure 12: Foreign Students Enrolled at HEIs in Lesotho: 2013/14

Figure 13: Number of Foreign Students Enrolled at HEIs in Lesotho: 2011/12-2013/14

It is shown in Figure 13 that although the majority of students were from the Republic of South

Africa (RSA), Botswana, Swaziland and Zimbabwe, the number of students from RSA has

remained steady throughout the years. The number of students from Botswana and Swaziland has

significantly declined while the number of students from Zimbabwe has increased and now tops

the other countries.

In order to examine what programmes mobile students are attracted to in Lesotho, an analysis was

done by the field of study and the results are presented in Figure 14. A larger fraction of 38.8

RSA8%

Botswana20%

Swaziland16%

Zimbabwe31%

Zambia8%

Nigeria4%

Uganda2%

Other11%

Other17%

05

101520253035404550

RSA Botswana Swaziland Zimbabwe Other

2011/12 7 46 17 27 30

2012/13 7 26 22 29 21

2013/14 7 18 15 29 23

Nu

mb

er

of

Fore

ign

stu

de

nts

en

rolle

d

2011/12 2012/13 2013/14

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40

percent enrolled in health and welfare programmes. This includes nursing and social welfare

programmes offered by the four nursing institutions as well as NUL and NHTC. A further 22.3

percent enrolled in social science-related programmes.

Figure 14: Non-Basotho Students Enrolled at HEIs in Lesotho by Field of Study: 2013/14

A large international student population is a proxy indicator for good teaching and learning

facilities and resources which result in quality programmes offered by higher education

institutions in any country. The data shows that the international student population in Lesotho is

already very low and is generally on a decline. Evidently, this is not a good sign, for it suggests

that people’s perceptions of local higher education, which inform their decisions, are not positive.

4.2 Outbound Mobility/Basotho Students studying abroad

Similar to other countries, Lesotho has been sending some of its students to study abroad. This is

attributed to the fact that, as stated in the HE policy, the HE sub-sector in Lesotho is relatively too

small to accommodate all the students eligible for higher education and that some specialised

programmes necessary for national development are not offered at local HEIs. This section sheds

light on the number of students studying outside the country, referred to as “outbound mobility”.

In 2013, about 264,774 students from Sub-Saharan Africa were enrolled in HEIs outside of their

home countries. About 2,912 of them were students from Lesotho studying abroad. The majority

(93.5%) studied in Sub-Saharan African universities, mainly South Africa, while the remaining

6.5 percent studied outside Sub-Saharan Africa. This represents an increase of 0.9 percent from

Education9.7%

Computing1.9%

Journalism, Broadcasting and

Information2.9%

Humanities and Arts1.9%

Social Sciences22.3%

Sciences2.9%Engineering and

Construction6.8%

Health and Welfare38.8%

Tourism and Services

1.0% Law11.7%

Page 42: Council on Higher Education (CHE)

41

the previous year’s figure of 2,887 Basotho students studying abroad. The fact that over 90 percent

of the students studied in Sub-Saharan African universities implies that more and more Basotho

students prefer to study closer to home. Comparing the number of students studying abroad

relative to those enrolled in local HEIs in 2012/13, the result was an outbound mobility ratio4 of

12.1 percent. The year 2013/14 could not be considered as information was not available.

In order to check which programmes students studying outside the country enrolled in, data on

NMDS sponsees and others whose sponsorships were administered by NMDS was used, since

NMDS was the only source with detailed information. The programmes that students enrolled in,

for both undergraduate and postgraduate programmes, were in specialised fields not offered by

HEIs in Lesotho. Table 10 presents the top 10 programmes that students enrolled in other

countries other than South Africa. These include countries in Africa and abroad such as Australia,

India, United Kingdom (UK), China, Botswana, Tanzania and Zimbabwe (See Annex 1 for

details). It should be noted that there were others who enrolled in some programmes offered in

Lesotho or not necessarily priority areas. Such students were those who got sponsorships from

elsewhere though it had to go through NMDS either because it was a requirement by that particular

sponsor or that NMDS had to top it up. Examples include education related programmes, law,

and public administration.

A total of 409 students were sponsored through NMDS to study at universities in other countries

other than South Africa. Of the top 10 programmes that they enrolled in, the majority of the

students enrolled in Medicine-related programmes accounting for 37.5 percent. Education and

engineering related programmes followed with 13.6 percent and 12.9 percent respectively. The

available data could not allow the determination of the level of programmes studied by students.

More collaboration needs to be forged with NMDS to ensure that data on outbound mobility meets

the requirements for tracking the mobility of students.

Table 10: Top 10 Programmes Pursued by Basotho Students Internationally: 2013/14

Top 10 Programmes studied internationally No. of Students % Students

Medicine related 105 37.5

Education related 38 13.6

Engineering related 36 12.9

4 Outbound mobility ratio is the number of students from a given country studying abroad as a percentage of the local tertiary enrolment in that country

Page 43: Council on Higher Education (CHE)

42

Corporate management and accounting related 23 8.2

International Baccalaureate 22 7.9

Computing 16 5.7

Economics related 13 4.6

Administration related 12 4.3

Library studies 9 3.2

Forensic science 6 2.1

Total 280 100.0

In 2014, the majority (897) of the 2912 internationally mobile Basotho students studied in tertiary

institutions in South Africa, they constituted 30.8 percent. They studied in a range of programmes

aligned with the national priority areas. Table 11 presents the top 10 programmes that most

students enrolled in. It was revealed that the majority enrolled in engineering fields,

predominantly civil and electrical engineering, which made up 30.3 percent followed by medicine

with 19.8 percent.

Table 11: Top 10 Programmes Pursued by Basotho Students in South Africa: 2013/14

Top 10 Programmes studied in RSA No. of

Students

% Total

B.Com Actuarial Science 26 7.1

B.Com Hons Human Resource Management 37 10.2

B Psychology 18 4.9

B.Com Investment Management and Banking 20 5.5

BSc Civil Engineering 53 14.6

BSc Electrical Engineering 57 15.7

BSc Geology 30 8.2

Engineering 26 7.1

Medical Microbiology 25 6.9

Medicine 72 19.8

Total 364 100.0

Given the high number of students studying in engineering and medicine both in South Africa and

other countries, Government should consider engaging local institutions to offer such programmes

at higher levels of specialisation.

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43

5.0 SPONSORSHIPS The National Human Resources Development Plan has not been developed by the Ministry of

Development Planning yet. It is not clear when it will be developed. In the meantime, the NMDS

allocates student bursaries to Basotho students studying abroad on the basis of national priority

areas as determined by the Ministry of Development Planning. However, bursaries for those

studying in local institutions are not allocated on the basis of national priorities. Institutions are

given quotas of the number of students to be financed by NMDS. Allocation of students in various

areas of study to be financed is done by institutions themselves.

Financing of students at higher education institutions is a critical component for increasing access

for Basotho. According to the HE Policy, limited bursaries or loans are some of the barriers to

access higher education in Lesotho. This is confirmed by the fact that not all students are

sponsored. There are different financiers of students as presented in Figure 15. It is clear that

Government is the main sponsor as 70.5 percent of students were financed through NMDS. Such

financial assistance is awarded on the basis of academic merit alone, without considering the

financial circumstances of applicants or their families.

The problem with this approach is that the state supports even students whose parents can afford

to pay for higher education and in the process denies access to those qualifying students who

cannot afford to pay. The Ministry of Education and Training undertook a ‘Review of Financing

Tertiary Education in Lesotho’ in 2010 supported by the World Bank. The review revealed that

85 percent of tertiary students come from families in the highest two income quartiles. The reason

for the low intake from the poorest families lies in the secondary sector and the scale of absolute

poverty, which is estimated to range from 36 percent to 47 percent of households in rural areas. It

costs parents money to send their children to secondary schools and as a result only 2 percent of

boys and 8 percent of girls from the poorest income quintile participate, compared with 38 percent

and 55 percent respectively in the richest quartile.5 Thus, the potential numbers of poor children

able to enter tertiary education would always be small. Since NMDS loans are currently available

to all regardless of income, students from the rich quintiles are receiving loans that they do not

need. Were NMDS funds to be restricted to ensure that only the genuinely needy students entered

higher education, the funding needed would be reduced (J. Fielden 2010).

5 Source: World Bank

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44

NMDS has plans to introduce means testing in order to ensure that state support is geared towards

the most needy students while those who can afford to pay do pay for themselves. This will take

time to be realised because it has to be preceded by the review of NMDS policies and the law

regulating student financial support which has not started yet. In the meantime, access to higher

education by needy students will remain limited.

Figure 15: Students at Higher Education Institutions by Sponsor

A further 2.6 percent were students from IDM and CAS financed by Lesotho Government through

the Ministry of Finance. They are government employees in public finance management and

procurement enrolled in Chartered Institute of Public Finance and Accountancy (CIPFA) and

Chartered Institute for Purchasing and Supply (CIPS) programmes as part of their capacity

building in those areas. The second largest group is those who are self-sponsored constituting

25.4 percent. They were largely studying at NUL, LCE, LP, LIPAM and IDM. The remaining

proportion are other sponsors financing below 3 percent of the students and they include own

institution, the Nursing Education Partnership Initiative (NEPI), employer, own country, Union of

Mineworkers, Capernaum Trust and donor funding. Analysis could not be done by programmes

sponsored due to gaps in data provided by HEIs.

0.0

10.0

20.0

30.0

40.0

50.0

60.0

70.0

80.0 70.5

25.4

2.6 0.2 0.3 0.0 0.8 0.2

Pro

po

rtio

n o

f St

ud

en

ts s

po

nso

red

Sponsors

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45

6.0 GRADUATES AT HIGHER EDUCATION INSTITUTIONS

One way of checking achievements of institutions is to measure the number of graduates produced

by institutions. Information was therefore collected on students who registered for end of

programme examinations. About 6,826 students registered for end of programme examinations.

The number of students who graduated made up a larger share of 82.1 percent of the total that

registered. The pass rates were above 80 percent for most institutions with the exception of IDM

and CAS with rates at 40 percent or lower (See Figure 16). The remaining 17.9 percent did not

succeed either because they failed (16.6%), withdrew (0.5%) or did not complete all the

requirements for one to graduate (0.9%). The highest failure rate was observed at CAS and this

was also the case in 2012/13. NUL and IDM followed with 16.7 percent and 16.5 percent

respectively. However, on a positive note, all the nursing institutions and LAC hardly had any

failures. Further research would be necessary to look deeper into the factors around the failure

rates in some institutions and the high pass rates in others.

Figure 16: Completion Rates by Institutions: 2013/14

Figure 17 compares the trends in the performance of students relative to the number of students

who sat for end of programme examinations over a period of three years (2011/12 to 2013/14). It

is evident that there were fluctuating trends in the total population that registered over the years

and those who graduated. From 2011/12 to 2012/13, the number of students registered declined

by 15.2 percent while those that graduated decreased by 20.1 percent. However, in 2013/14, there

was an increase of 20.7 percent and 18.0 percent of students who registered and graduated

Page 47: Council on Higher Education (CHE)

46

respectively. On the other hand, the number of students who failed increased steadily by an

average of 29.9 percent per year from 2011/12 to 2013/14.

Figure 17: Performance of Students on End of Programme Examinations: 2011/12 – 2013/14

The analysis also looked at the performance of students by fields of study as presented in Figure

18. The fields of study that experienced highest failure rates were social sciences, education and

engineering and construction. There is also need to undertake research to check within institutions

why some courses are consistently failed by high population of students who register for such

courses.

Figure 18: Performance of Students on End of Programme Examinations by Field of Study

6668

5657

6826

5942

4747

5602

726 9101224

0

1000

2000

3000

4000

5000

6000

7000

8000

2011/12 2012/13 2013/14

Nu

mb

er

of

Stu

de

nts

wh

o S

at f

or

End

of

Pro

gram

me

Exa

min

atio

ns

Number registered Passed Did not pass

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7.0 ACCESS TO INFORMATION ON HEIs

Access to information on higher education institutions enable prospective students to make

choices about which institution to go to and which programme to study. It is therefore important

for institutions to provide this information to the public. The HE Policy has a specific policy

provision on access to information about different HEIs in the country. There is a specific indicator

which is used to track performance in this area because it can have adverse effect on access to

higher education by students. This section looks at accessibility of information on different HEIs.

Higher education providers used various ways and platforms to provide information. For instance,

they produce publicity materials, directories, prospectuses. They further use internet and

mainstream media. They also engage in outreach programmes and career guidance to schools.

According to the CHE (2015), only six (6) institutions reported having outreach programmes

representing 42.9 percent of the institutions. In 2012/13, there were nine (9) outreach

programmes, with 66.7 percent of them being provided by LUCT. The number increased to 77.7

percent in 2013/14 due to IDM and NUL introducing outreach programmes during that year. In

addition to outreach programmes, career guidance sessions were also held in a number of schools

by a high proportion (64.3%) of the institutions as illustrated in Figure 19. A total of 120 sessions

Page 49: Council on Higher Education (CHE)

48

were held in 2012/13 and increased to 175 in 2013/14. These were largely provided by CAS, IDM

and LAC. Unfortunately, data were not available to check the proportion of schools that have

received career guidance sessions.

In addition to HEIs undertaking their own publicity activities, CHE has held Higher Education

Fair since 2014. The aim of the Fair was to facilitate provision of information to the prospective

tertiary students about higher education institutions in Lesotho and to provide the institutions with

a platform to showcase their work. Sessions were also held at the Fair where experts in different

fields presented information about their professions.

Figure 19: Career Guidance Sessions by Institution: 2012/13 – 2013/14

Another mode exploited/used to increase access to information was through the websites by HEIs.

More than half of the institutions reported having functional websites with all essential information

as presented in Table 12. It is noteworthy that among the institutions with no websites, three of

them are public institutions that still operate as departments of Government ministries.

Table 12: Availability of Functional Websites by Institution

Institutions having functional websites Institutions with no websites

CAS LAC

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

CAS LAC LP PSN LUCT NUL RCN IDM

54 35 7 420

54 36

4 1

6 428

42

Car

ee

r G

uid

ance

Se

ssio

ns

He

ld

2012/13 2013/14

Page 50: Council on Higher Education (CHE)

49

LCE LIPAM

LeBoHA MAC

LP NHTC

LUCT PSN

SSN RCN

NUL

IDM

8.0 TEACHING AND LEARNING IN HEIs

Generally, higher education has three main functions, namely, disseminating knowledge through

teaching and learning; conducting research; and through community outreach. According to the

HE Policy, HEIs can achieve these objectives through ensuring that staff are suitably qualified and

have sufficient expertise in the subjects that they teach and building their capacity through

professional development and training. Institutionalisation of quality assurance mechanisms

within HEIs which include putting systems in place and ensuring a systematic feedback from

students is important for improving the teaching and learning experience. The section discusses

different facets of staff as a critical component for teaching and learning in HEIs.

8.1 Staff by Institution and Classification

During the reporting period, there were 1,721 staff members across all the 14 higher education

institutions in Lesotho, with 47.2 percent males and 52.8 percent females. This is lower than the

2012/13 figure of 1,886 by 8.7 percent. This could be largely attributed to staff from institutions

such as NUL and LAC whose contracts expired as well as the LCE Distance Teacher Education

Programme (DTEP) part-time staff excluded from the analysis as information relating to them was

not provided. The staff complement varies a lot across institutions as presented in Table 13. NUL

had the largest number with 35.8 percent. LCE, LUCT and LP followed with 13.0 percent, 12.4

percent and 11.0 percent respectively. Other institutions including nursing institutions had

proportions of less than 3.0 percent of the staff complement. Academic staff members who are

very key to institutions constituted 47.0 percent of the staff complement, lower than support staff

by 1.3 percent. This is largely the case in LAC, LIPAM, LP, IDM, NHTC and PSN. This is

contrary to the previous years where the majority were academic staff with 50.0 percent and 52.3

Page 51: Council on Higher Education (CHE)

50

percent in 2011/12 and 2012/13 respectively. More still needs to be done to recruit and build

capacity of teaching staff members who are core to improving teaching and learning at higher

education institutions.

Table 13: Distribution of Staff by Institution and Classification

Name of Institution

Classification of staff Total % Total

Instructional Personnel

Support staff

Management

NHTC 39 46 3 88 5.1

LCE 120 87 16 223 13.0

MAC 8 5 3 16 0.9

PSN 12 18 1 31 1.8

RCN 11 9 3 23 1.3

NUL 302 305 9 616 35.8

SSN 13 8 3 24 1.4

IDM 6 15 3 24 1.4

LeBoHA 2 2 3 7 0.4

LUCT 122 83 8 213 12.4

LAC 53 120 8 181 10.5

CAS 20 12 5 37 2.1

LP 83 94 12 189 11.0

LIPAM 18 27 4 49 2.8

Total 809 831 81 1721 100.0

The analysis also looked at the trends for the four year period, 2010/11 to 2013/14, in which data

were collected. Table 14 illustrates the fluctuating trends in the number of staff employed in the

different years. From 2010/11 to 2011/12, a decline of 5.1 percent was observed. It would be

expected that the decline was a result of staff members who left the institutions for various reasons.

However, this does not make up for the difference. Contrary to this, in 2012/13, the figure

increased by 7.9 percent from 1,748 in 2011/12 to 1,886 in 2012/13 but declined again the

following year by 8.7 percent. These fluctuations in staff complements of institutions do not

augur well for their academic stability. Academia is one of the areas in which it takes a long time

to develop PhDs and professors. Once the academic staff complement is fully established, it

improves academic stability which, in turn, improves public confidence in an institution.

Programme offerings get affected adversely by this constant movement of staff. The fluctuating

figures could be due to poor quality of data. However, further research needs to be done to

determine the source of the fluctuating figures and how the problem can be addressed.

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51

HEIs also need to improve on the quality of their statistics to ensure it correctly represents what is

on the ground in their respective institutions. For instance, MAC and NHTC do not process their

own staff data. For the former it is kept by the hospital to which the school is attached, while with

the latter it is kept by the Ministry of Health under which the college is a department. This is

problematic because the institutions are not responsive to the needs for such data, and its accuracy

is in doubt.

Table 14: Annual Changes in Number of Staff Employed: 2010/11 - 2013/14

Name of

Institution

2010/11 2011/12 Change

2010/11-

2011/12

2012/13 Change

2011/12-

2012/13

2013/14 Change

2012/13-

2013/14

NHTC 80 93 16.3 88 -5.4 88 0.0

LCE 231 227 -1.7 235 3.5 223 -5.1

MAC 17 15 -11.8 16 6.7 16 0.0

PSN 22 12 -45.5 27 125.0 31 14.8

RCN 23 23 0.0 23 0.0 23 0.0

NUL 753 626 -16.9 754 20.4 616 -18.3

SSN 25 16 -36.0 21 31.3 24 14.3

IDM 24 24 0.0 24 0.0 24 0.0

LeBoHA - 0 - 10 - 7 -30.0

LUCT 167 180 7.8 213 18.3 213 0.0

LAC 218 228 4.6 207 -9.2 181 -12.6

CAS 35 34 -2.9 37 8.8 37 0.0

LP 194 223 14.9 188 -15.7 189 0.5

LIPAM 53 47 -11.3 43 -8.5 49 14.0

Total 1842 1748 -5.1 1886 7.9 1721 -8.7

Similar to the previous years, public HEIs play a major role in employing the majority (79.5%) of

staff while the remaining 20.5 percent were employed by private HEIs. Though this figure is

higher than the previous years, the involvement of private HEIs is still minimal. The results also

showed that most of the institutions that experienced a sharp decline in staff are public institutions.

It could be argued that some of the driving forces for the high turn-over are low budget and

attempts at institutional reforms.

8.2 Staff by Country of Origin

Internationalisation of institutions across the globe plays a central role in improving mobility and

employability of graduates beyond the borders of the country. It is therefore vital for HEIs to

recruit foreign staff and students for internationalisation of their respective institutions. As

mentioned in the previous State of Higher Education Report, employment of foreign staff

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52

members is crucial for various reasons. It enriches the teaching and learning enterprises and also

exposes students to different ways of thinking and cultures from other countries. To assess the

extent to which local HEIs are internationalised, the report looked at the origins of staff employed

at institutions across the country.

Table 15 shows that not many foreigners were employed by institutions locally in 2013/14. Only

89 were employed, with 77.5 percent males and 22.5 percent females. This constitutes only 5.2

percent of the total number of staff employed by institutions. The rest were locals with a share of

94.8 percent. This proportion of foreigners is within the ranges obtained between 2010/11 and

2012/13 of 5.0 percent to 5.1 percent. NUL and LUCT had the highest numbers of foreign staff.

However, they only stood at 7.8 percent and 8.9 percent respectively when compared with their

total staff population. LeBoHA was the only Institution with more than 40 percent (42.9%) of

foreign staff relative to the total number of staff. PSN, MAC and CAS followed with proportions

ranging between 13.5 percent and 19.4 percent. Despite the importance of recruiting international

staff, there were still institutions with no international staff in 2013/14 and these were NHTC,

LCE, IDM, LAC and LIPAM. Among them, NHTC and IDM never had foreign staff since

2010/11. It is therefore imperative to assess the challenges obtaining at institutions constraining

recruitment of foreign staff and develop strategies for addressing them.

The majority of foreign staff were from Zimbabwe and Botswana with 30.3 percent and 11.2

percent respectively. Nigeria, RSA and Kenya followed with slightly over 6 percent each.

Table 15: Distribution of Staff by Institutions and Nationality

Name of Institution

Basotho Non-Basotho Total % Non-Basotho

NHTC 88 0 88 0.0 LCE 223 0 223 0.0

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53

MAC 13 3 16 18.8 PSN 25 6 31 19.4 RCN 22 1 23 4.3 NUL 568 48 616 7.8 SSN 23 1 24 4.2 IDM 24 0 24 0.0 LeBoHA 4 3 7 42.9 LUCT 194 19 213 8.9 LAC 181 0 181 0.0 CAS 32 5 37 13.5 LP 186 3 189 1.6 LIPAM 49 0 49 0.0 Total 1632 89 1721 5.2

The internationalisation index was also estimated. This is an indicator that measures the

competitiveness and credibility of institutions and their programmes to national and international

development. It measures the proportion of foreign students and staff to total staff in HEIs. It was

estimated at 11.2 percent in 2013/14. This fell slightly from the 2012/13 figure of 12.4 percent

but higher than 10.6 percent obtained in 2011/12 indicating the low international competitiveness

of local institutions and their programmes.

8.3 Terms of Employment of Staff

Staff members at higher education institutions are employed on different terms as shown in Figure

20. As has been the case in the past, all institutions except LUCT and CAS employed staff in

permanent positions. The total number of staff on permanent contracts was 1240, which constitute

72.1 percent of the staff complement. LUCT and CAS were the only two with the majority of the

staff employed on contract basis.

Figure 20: Terms of Employment of Staff by Institution

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54

While the levels of employment of permanent staff at HEIs have remained high since 2011/12,

there has been an increase in the number of staff appointed to contract positions. In 2011/12, 21.5

percent of higher education staff members were appointed on a contract basis and by 2013/14 this

had risen to 25.7 percent (Figure 21).

Figure 21: Distribution of Staff by Terms of Employment: 2011/12 – 2013/14

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55

8.4 Staff by qualifications

Tables 16 and 17 present the qualifications of staff across institutions in Lesotho. Out of a total

staff complement of 1721, master’s degree holders were the most dominant with 26.6 percent. Of

these, instructional personnel constituted the majority with 46.7 percent. This was followed by

first degree holders with 21.3 percent, predominant in LUCT, health training institutions, LAC

and LP which offer diploma programmes. COSC holders also accounted for a significant

proportion of 18.7 percent and were largely support staff as presented in Table 17. LAC had the

largest number of staff with COSC as most were farm workers. Doctorate, which is the highest

qualification, was only held by 7.3 percent of the staff members, largely from NUL. It had declined

by 13.9 percent from the 2012/13 figure of 144 PhD holders. The smallest proportion of 0.3

percent of the staff held other qualification including advanced diploma and other programmes

which could not be categorised according to the current qualifications framework for Lesotho.

Table 16: Distribution of Staff by Institution and Qualification

Staff Qualifications Total

0%10%20%30%40%50%60%70%80%90%

100%

2011/12 2012/13 2013/14

Other 9 17 10

Part-time 0 177 5

Temporary 23 28 23

Contract 375 409 443

Permanent 1341 1255 1240

Page 57: Council on Higher Education (CHE)

56

Institution

Doctorate Masters Honours/ Postgraduate

Diploma

Degree Diploma Certificate Professional qualification

COSC and

below

Other

NHTC 1 14 3 22 11 4 0 33 0 88

LCE 7 85 24 40 24 11 4 27 1 223

MAC 1 2 0 7 2 1 0 3 0 16

PSN 0 1 5 11 3 3 0 8 0 31

RCN 0 3 2 8 2 1 1 6 0 23

NUL 107 226 13 74 60 40 8 84 4 616

SSN 0 3 0 11 4 1 1 4 0 24

IDM 0 6 2 1 4 2 3 4 2 24

LeBoHA 2 4 0 0 1 0 0 0 0 7

LUCT 1 59 23 67 26 10 5 20 2 213

LAC 2 12 5 34 20 4 1 101 2 181

CAS 0 1 3 3 3 0 23 4 0 37

LP 2 27 8 78 28 20 4 17 5 189

LIPAM 2 15 5 10 6 0 1 10 0 49

Total 125 458 93 366 194 97 51 321 16 1721

% Total 7.3 26.6 5.4 21.3 11.3 5.6 3.0 18.7 0.9 100.0

Due to the nature of programmes offered by CAS, they were categorised differently as professional

programmes. This includes Chartered Accounting (CA), Certified Accounting Technician (CAT),

General Accounting (GA), Chartered Institute of Management Accountancy (CIMA) and CIPFA.

They were held by only 3.0 percent of the staff members, 45.1 percent of whom were employed

by CAS followed by NUL with 15.7 percent.

Table 17: Distribution of Staff by Qualification and Classification

Institutions Instructional Personnel

Support staff Management Total

Doctorate 109 1 15 125

Masters 378 44 36 458

Honours/Postgraduate Diploma

69 20 4 93

Degree 209 142 15 366

Diploma 21 170 3 194

Certificate 0 97 0 97

Professional qualification 21 24 6 51

COSC and below 0 320 1 321

Other 2 13 1 16

Total 809 831 81 1721

% Total 47.0 48.3 4.7 100.0

According to the Minimum Programme Accreditation Standards developed by CHE, academic

staff members in HEIs are required to have a higher qualification than the level at which they

Page 58: Council on Higher Education (CHE)

57

teach. To check whether institutions comply with the standards, the report looked at whether

academic staff members were suitably qualified and the extent to which HEIs take the

responsibility to develop staff. Table 18 shows that a significant proportion (60.2%) of staff

members held masters or higher qualification followed by first degree holders with 25.8 percent.

Staff with lower qualifications than the first degree made up 2.7 percent and mainly held diploma

and advanced diploma qualifications. There were staff members with professional qualifications

who made up 2.6 percent of the staff complement. Such staff members were mainly chartered

accountants and were therefore qualified to teach all professional programmes.

Table 18: Distribution of Staff by Qualification and Level Taught: 2013/14

Highest Level Taught by a Staff

Qualification

of Staff

Certi

fica

te

Ad

va

nced

Certi

fica

te

Dip

lom

a

Ad

va

nced

Dip

lom

a

Degree

Ho

no

urs

Ma

ster

s

Ph

D

CA

T

CA

To

tal

% T

ota

l

Diploma 0 0 21 0 0 0 0 0 0 0 21 2.6

Advanced

Diploma

1 0 0 0 0 0 0 0 0 0 1 0.1

Degree 2 1 159 21 26 0 0 0 0 0 209 25.8

Honours/

Postgraduate

Diploma

2 0 41 6 13 5 0 0 0 2 69 8.5

Masters 1 0 140 2 201 29 5 0 0 0 378 46.7

Doctorate 0 0 4 0 62 27 15 1 0 0 109 13.5

Professional

qualification

(CA)

0 0 1 0 2 0 0 0 2 16 21 2.6

Other 0 0 1 0 0 0 0 0 0 0 1 0.1

Total 6 1 367 29 304 61 20 1 2 18 809 100.

0

% Total 0.7 0.1 45.4 3.6 37.6 7.5 2.5 0.1 0.2 2.2 100.

0

It is worth noting that there were still two HEIs that had staff members teaching at the same or

higher level than the qualifications that they had.

As the core function of institutions is teaching and learning, it is highly necessary for institutions

to ensure that academic staff members are suitably qualified and have sufficient expertise in the

subjects or levels that they teach. In order to track progress on this, an Academic Staff Quality

Index (ASQI) was used. It is a measure of the quality of teaching staff and the capacity of

institutions to produce research degree holders. It is calculated by dividing the number of PhD

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58

holders with the total number of academic staff. However, because most of the HEIs offer sub-

degree qualifications, this report has used a master’s degree as well as Chartered Accountancy in

case of CAS as a basis for one to teach at HEIs for purposes of comparison and uniformity across

institutions. Clearly, this standard is higher for institutions which offer diploma and certificate

programmes only. Similar to the previous reporting period, the index for NUL was calculated on

the basis of PhD holders only while for other institutions, it was on the basis of masters and PhD.

NUL had academic staff complement of 303 of whom 102 were PhD holders. This gave an index

of 33.7 percent. This is an improvement from the previous years’ figures of 24.8 percent and 25.1

percent in 2011/12 and 2012/13 respectively. It could mean that NUL had either trained more staff

or been able to attract staff with PhD qualification.

Table 19 presents the academic staff quality indices for other institutions. An overall academic

staff quality index was estimated at 42.2 percent. IDM, CAS, LIPAM and LCE had the largest

indices exceeding 60 percent. The same HEIs had indices of more than 60 percent even in the

previous reporting period (2011/12). This is a clear indication that the quality of staff at HEIs is

acceptable as close to half of the staff meet the standard requirement. All the nursing institutions

had lower indices of less than 20 percent. This was attributed to the fact that the majority of their

staff are degree holders and that they only offer certificate or diploma qualifications.

Table 19: Academic Staff Quality Indices by Institution

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59

Institution MA + PhD Instructional Personnel Academic Staff Quality Index

NHTC 12 39 30.8 LCE 77 120 64.2 MAC 1 8 12.5 PSN 1 12 8.3 RCN 2 11 18.2 SSN 2 13 15.4 IDM 4 6 66.7 LeBoHA 2 2 100.0 LUCT 55 122 45.1 LAC 11 53 20.8 CAS 18 20 90.0 LP 17 83 20.5 LIPAM 12 18 66.7

214 507 42.2

A comparative analysis of the indices of other institutions was done to check whether there have

been any improvements from the previous periods and the results are presented in Figure 22.

Overall, indices improved by 3.5 percent from 2011/12 to 2012/13 but declined the following year

by between 1.3 percent and 42.2 percent across institutions. The changes in indices per year also

varied per institution. Some institutions realised declining trends while others such as LUCT

steadily increased over the years.

Figure 22: Academic Staff Quality Indices by Institution and Exit Level: 2011/12 -2013/14

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60

8.4 Capacity building of Staff

Improving the capacity of academic staff through the professional development and training is

also crucial for high quality teaching and learning. During 2013/14, a total of 47 staff members

were sent for long term training, predominantly instructional personnel (80.9%) who perform the

core function of institutions as has always been the case in the previous years. This represents

only 2.7 percent of the population of staff during that period. Close to two thirds (66.7%) went

for masters and PhD. This was followed by 23.4 percent of the staff who went for undergraduate

programmes such as diploma and degree programmes. NUL sent the largest number (29.8%),

mainly to pursue PhD programmes and PSN and LP followed with 17.0 percent and 14.9 percent

pursuing different qualifications (see Figure 23).

Figure 23: Distribution of Staff who Went for Training by Institution and Qualification

Sought: 2013/14

The proportion of staff that went for training has always been very low relative to the staff

complement since 2012/13, ranging between 1.8 percent and 3.9 percent. It was 1.2 percent in

2011/12 and increased by 135 percent to 73 staff members but declined the following year by 35.6

percent as illustrated in Table 20. The low levels of staff sent for training could be attributed to

lack of funding earmarked for long term training. Most of the training programmes financed by

HEIs are short term. Therefore, more still needs to be done to improve the capacity of staff,

particularly instructional personnel, who perform the core function of institutions.

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61

Table 20: Distribution of Staff who Went for Training by Qualification Sought: 2011/12 –

2013/14

Qualification sought 2011/12 2012/13 2013/14

PhD 2 19 17

Masters 16 30 16

Honours 2 8 2

Degree 5 7 6

Diploma 6 8 5

Other 0 1 1

Total 31 73 47

% change - 135 -35.6

Figure 24 presents the programmes that staff members who went for training enrolled in. They

are categorised according to the qualification being studied.

Figure 24: Programmes Pursued by Staff by Qualification Sought: 2013/14

Academic staff members, who perform the core function of teaching were the largest group

trained. They made up 78.0 percent of staff who went for training. The majority went for masters

and PhD, as illustrated in Figure 25 and this made up 93.8 percent of staff who went for training.

Close to half were NUL staff members, mainly enrolled in PhD programmes. PSN and LP

followed with 21.9 percent and 12.5 percent. It is very rare for HEIs to send members of

Masters

•Nursing Education

•Public Health

•Health Sciences

•Social Science (Nursing)

•Education Leadership & Management

•Library and Information Studies

•Informatics

•Human Resources

Doctorate

•Computer Science

•Analytical Chemistry

•Artificial Intelligence

•Boitechnology & Molecular Microbiology

•Botany

•Control Systems

•Economics

•Education

•Poetry

•Private Law

•Sociology

•Textile Science

•Communication Management

•Water Resources Engineering

Degree/Honours

•Human Resource Management

•General Accounting

•Nursing Education and Management

•Business and Entrepreneurship

•Pastoral Care & Counselling

•Financial Management

Other

•Certified Accounting Technician

•Fellowship Medical Education (SAFRI)

•Diploma in Human Resources Management

•Diploma in Hospitality Management

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62

management for training. This is confirmed by the fact that only one institution sent one staff

member for further training.

Figure 25: Academic Staff on Training by Level of Study: 2013/14

8.4.1 Continuous Professional Development

Continuous professional development also plays a central role in building the capacity of staff for

effective teaching and research in the area of expertise. The Rapid Assessment Report highlighted

such programmes available at HEIs. A total of 9 institutions offered continuous professional

development programmes to academic staff. This constitutes 64.3 percent of the institutions in

Lesotho. They range from short term courses, research workshops, seminars, visits to other

countries and participation in science fairs outside the borders of the country.

In addition to professional development, feedback from students can be an invaluable source of

information that can inform efforts to improve the quality of service delivery within institutions.

Such feedback can be obtained through student’s satisfaction surveys. The Rapid Assessment

study assessed whether HEIs conducted any satisfaction surveys from 2012/13 to 2013/14. Only

two institutions, namely: LP and IDM reported to have conducted the surveys and they represent

a small fraction (14.3%) of the institutions. Both institutions have been consistent in undertaking

the surveys throughout the period. The limited number of institutions which conducted the surveys

implies that institutions in Lesotho are not responsive to the needs and perceptions of students that

they serve. Institutions should therefore develop mechanisms through which students’ needs and

perceptions are communicated to management.

0

2

4

6

8

10

12

14

LCE PSN RCN NUL SSN LAC LP LIPAM

11

5

1 1

2

12

1

1

13

2

1

Degree Masters Doctorate Fellowship Medical Education (SAFRI)

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63

8.5 Staff Attrition Rates For HEIs in Lesotho to improve teaching and learning, institutions need adequate staff suitably

qualified and motivated to work effectively. As seen in the previous sections, efforts have been

taken by institutions to build the capacity and expertise of staff employed for them to be able to

deliver a high quality teaching and learning experience for their students. However, retention of

staff is a challenge for some institutions and these might have adverse effects on institutional

productivity. The analysis excluded institutions that either did not provide information for

2013/14 or whose staff members did not leave. A total of 201 staff members left in seven

institutions, as shown in Figure 26. This represents 11.6 percent of the staff population in all HEIs

and 15.1 percent of staff in the institutions that provided information. The largest proportion of

staff members that left was from NUL with 61.2 percent, followed by LCE with 14.1 percent.

RCN and LIPAM had the lowest number of staff that left the institution with 0.5 percent and 1.0

percent respectively. Staff attritions were common among both support and academic staff as they

constituted 54.7 percent and 43.8 percent respectively. Members of staff who left the management

teams were very few as they accounted for 1.5 percent.

Figure 26: Staff who Left by Institutions and Classification

In order to measure the environment for sustainable academic activities, one of the important

indicators considered was the academic attrition rates. It measures the proportion of academic

staff leaving the institution in a given year. Table 21 presents the rates for 2013/14. The overall

rate of attrition was estimated at 13.8 percent of staff in seven of the institutions. This is considered

to be low, relative to the academic staff population.

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

LCE RCN NUL SSN LUCT LAC LIPAM

8

1

694

4

2

24

69

3

3

11

1

1

1

Staf

f M

em

be

rs w

ho

Le

ft t

he

Inst

itu

tio

ns

Instructional Support Management

Page 65: Council on Higher Education (CHE)

64

Table21: Academic Staff Attrition Rates by Institution

Institutions Academic Staff Complement Academic Staff who left Attrition rates

LCE 120 8 6.7

RCN 11 1 9.1

NUL 302 69 22.8

SSN 13 0 0.0

LUCT 122 4 3.3

LAC 53 4 7.5

LIPAM 18 2 11.1

Total 639 88 13.8

The academic staff attrition rates varied across institutions. Apart from SSN which did not

experience any academic staff attritions, the attrition rates ranged between 3.3 percent and 22.8

percent. NUL still dominated with 22.8 percent as has been the case in the previous reporting

periods followed by LIPAM with 11.1 percent. It is also worth noting that two of the largest

institutions, namely: LCE and LUCT had the lowest attrition rates of less than 8 percent.

There were a number of reasons cited relating to why staff left the institutions and these are

summarised in Table 22. More than half (62.2%) of the staff had reached the end of their contracts

as they were employed either on temporary or part-time basis and were mainly support and

instructional personnel. A further 14.9 percent resigned. There is need to assess why staff

resigned so that such issues can be addressed.

Table 22: Number of Staff by Reasons for Leaving

Reasons staff left Classification of staff Total % Total

Instructional Personnel Support staff Management

Resigned 18 11 1 30 14.9

Dismissed 1 3 1 5 2.5

Deserted 2 0 0 2 1.0

Early Retirement 1 0 0 1 0.5

Compulsory retirement

6 17 0 23 11.4

Deceased 2 9 1 12 6.0

End of contract 57 68 0 125 62.2

Transfer 1 2 0 3 1.5

Total 88 110 3 201 100.0

Page 66: Council on Higher Education (CHE)

65

There were a few who left for other reasons accounting for less than 5 percent each. This includes

staff who were dismissed, transferred, retired early or deserted the institution.

Further analysis of staff attritions could not be done due to challenges experienced with the quality

and reliability of the data. In some instances, the number of staff members who were reported to

have left were more than the actual number of staff existing at HEIs, other required variables were

not provided and other HEIs did not provide data at all. It is therefore recommended that HEIs

improve on the quality and management of their data on staff attritions to enable effective

monitoring of the indicator.

9.0 RESEARCH AND INNOVATION IN HEIs

Research is one of the key functions of HEIs, particularly universities. It is through research that

new knowledge is generated and solutions to societal problems are solved through new discoveries

and innovations. It therefore contributes directly to economic development of a country. Clearly,

it is important for HEIs to undertake research consistently and continuously covering different

aspects of life. Undertaking research requires substantial financial resources. This section assesses

the state of research at higher education institutions, considering such things as research output,

funding for research, staff capacity building on research; participation in conferences where papers

are presented and collaborations with local or international HEIs.

9.1 Research output

The report looked at different types of research studies conducted. These include academic,

commissioned and other types of research. In the previous reporting period, five institutions

reported to have conducted research. A total of 160 research reports were produced between 2010

and 2012. Improvements were observed over the years, for instance, the number of institutions

that conducted research during the reporting period increased to 10. These institutions produced a

total of 327 research reports as shown in Table 23. Academic research dominated in most

institutions. However, NUL contributed most of the research reports (90.2%) although they were

not disaggregated by type of research. Looking at individual institutions, NUL, LUCT and PSN

were the only ones that showed improvements and consistency in conducting research.

Table 23: Research Reports Completed by Institution and Type of Study: 2012 – 2014

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66

Institution Academic Commissioned

Total

2012 2013 2014 Total 2012 2013 2014 Total 2012 2013 2014 Total %

Total

LCE 0 4 1 5 0 0 0 0 0 4 1 5 1.5

LeBoHA 0 2 0 2 0 0 0 0 0 2 0 2 0.6

LIPAM 0 1 0 1 0 0 0 0 0 1 0 1 0.3

LP 1 0 1 2 1 0 0 1 2 0 1 3 0.9

LUCT 1 3 4 8 0 0 0 0 1 3 4 8 2.4

MAC 0 0 4 4 0 0 0 0 0 0 4 4 1.2

NHTC 0 1 0 1 1 0 0 1 1 1 0 2 0.6

PSN 1 1 0 2 1 1 2 4 2 2 2 6 1.8

NUL - - -

- - -

58 71 166 295 90.2

IDM 0 1 0 1 0 0 0 0 0 1 0 1 0.3

Total 3 13 10 26 3 1 2 6 64 85 178 327 100.0

11.5 50.0 38.5 100.0 50 16.7 33.3 100.0 19.6 26.0 54.4 100.0

Figure 27 also shows that the number of research studies done has been increasing since 2010 to

2014. The number of reports rose sharply from 85 in 2013 to 178 in 2014. This could have been

due to increased budget allocation for research in HEIs.

Figure 27: Trends in the Number of Research Reports Produced: 2010 - 2014

9.2 Participation in conferences

Participation in conferences can also generate papers that can be published in peer reviewed

journals to enhance research quality and promote accessibility to the larger community. The report

focused on the presentations made by HEI staff at conferences that they participated in. As

shown in Table 24, 11 institutions reported to have presented papers at conferences over the past

Page 68: Council on Higher Education (CHE)

67

three years. Generally, there have been improvements over the years, with 67 presentations having

been made by institutions at conferences, compared with 48 in the previous period. The increased

number of presentations was a result of the improved participation in conferences by institutions

(11) compared to six (6) institutions in the previous period.

Similar to research reports, NUL presented papers in more conferences, making up 29.9 percent

of the total presentations made. This was followed by LCE and PSN with 23.1 percent and 11.9

percent respectively. Presentations from other institutions were minimal as each contributed less

than 10 percent of the presentations. Variations were also observed with presentations made by

individual institutions over the review period. NUL and LUCT presentations increased while not

much change has been observed for other institutions.

Table 24: Conference Presentations by Institution: 2012 - 2014

Institution 2012 2013 2014 Total % Total

LAC 1 0 1 2 3.0

LCE 7 4 4 15 22.4

LeBoHA 0 3 1 4 6.0

LIPAM 1 0 1 2 3.0

LUCT 0 2 4 6 9.0

MAC 0 0 2 2 3.0

PSN 1 5 2 8 11.9

NUL - 6 14 20 29.9

RCN 0 0 1 1 1.5

IDM 0 1 0 1 1.5

LP 6 0 0 6 9.0

Total 16 21 30 67 100.0

% Total 23.9 31.3 44.8 100.0

It generally follows that papers presented at conferences would be published in peer reviewed

journals to enhance research quality and promote accessibility to readers. Table 25 presents the

number of published conference papers. A total of 139 papers were reported to have been

published by seven (7) institutions. NUL contributed 85.6 percent of the papers followed by PSN

with 4.3 percent. A closer look at both Tables 25 and 26 shows that there were more (139)

conference papers published than presented (67) papers. The possible explanation could be that

some of the published papers had been presented in previous years.

Table 25: Published Conference Papers by Institution: 2012 – 2014

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68

Published conference papers

Institution 2012 2013 2014 Total % Total LeBoHA 0 3 1 4 2.9 LIPAM 1 0 0 1 0.7 LUCT 0 2 3 5 3.6 MAC 0 0 1 1 0.7 PSN 1 5 0 6 4.3 NUL - 65 54 119 85.6 LCE 1 1 1 3 2.2 TOTAL 3 76 60 139 100.0

% Total 2.2 54.7 43.2 100.0

Unlike in the previous review period where the HE institutions research publication index was

calculated on the basis of research reports not peer- reviewed publications as per the requirement

for calculating the index, the indices for this period have been calculated on the basis of peer

reviewed papers. It measures the average number of peer reviewed research publications per

academic staff in a year per higher education institution. The results indicate that an average of

less than one conference paper was produced per institution, per academic staff. This is despite

the fact that the number of publications increased. There is therefore a need to improve research

productivity of institutions. It should be noted that for NUL research papers that have been

included are not confined to conference papers; they also include peer reviewed papers published

in journals. This could not be done with other institutions because their submissions did not

provide the necessary details.

Table 26: Academic Staff Paper Publication Indices by Institution: 2012 – 2014

2012 2013 2014

Institution Papers Academic

staff

Publication

index

Papers Academic

staff

Publication

index

Papers Academic

staff

Publication

index

LeBoHA 0 3 5 0.6 1 2 0.5

LIPAM 1 17 0.1 0 12 0.0 0 13 0.0

LUCT 0 105 0.0 2 122 0.0 3 122 0.0

MAC 0 8 0.0 0 8 0.0 1 8 0.1

PSN 1 7 0.1 5 10 0.5 0 12 0.0

NUL - 315 - 65 462 0.1 166 303 0.6

LCE 1 132 0.0 1 127 0.0 1 120 0.0

TOTAL 3 584 0.0 76 746 0.1 60 580 0.1

9.3 Incentives for Conducting Research

In order for institutions to improve their research productivity, efforts should be made to encourage

staff to undertake research. The Rapid Assessment evaluated the incentives provided by

Page 70: Council on Higher Education (CHE)

69

institutions to staff for conducting research and attending international conferences. With regard

to research, only three institutions reported providing incentives to their academic staff for

conducting research. These were NUL, PSN and MAC. NUL and MAC provide promotion points

as an incentive to conduct research. NUL and PSN provide free internet, unrestricted access to a

computer, access to EBSCO host online databases, per diem to attend conferences, research breaks

and participation in conducting science practicals in other countries. Apart from the incentives

provided, HEIs also built the capacity of academic staff to conduct research. Examples include

sending staff for long term training, holding research workshops, providing staff exchange

programmes, e-learning and partnerships to participate in international science laboratories.

Incentives for attending international conferences were also looked into. Eight institutions

provided incentives for attending international conferences. Such incentives included provision of

full rate per diems in some institutions while in others it was partial funding for per diem, and

promotion points to staff presenting in international conferences. Such incentives encourage

members of staff to undertake research individually and publish papers even during a year when

the institution would have not made any budget allocation for research.

9.4 Research Collaboration Agreements

Information was requested from the institutions on collaboration agreements established.

Collaborations promote networking with other researchers locally and internationally. Table 27

presents the results which reflect a diverse menu of collaboration agreements established by HEIs

in Lesotho. This includes collaborations in research and other areas. All institutions reported

having at least one collaboration agreement. About 93 agreements were established with national,

regional and international bodies. The highest number was established locally and internationally,

each accounting for 40.0 percent of the agreements. The lowest were regional agreements with

20.0 percent. NUL established the highest number across all regions with more than half of the

agreements on the overall. With the exception of NUL, not many agreements were signed

regionally. Five institutions established only one agreement each while others did not.

Table 27: Collaboration Agreements by Institution

Institution Collaboration agreements established

National Regional International Total % Total

CAS 1 1 1 3 3.2

LAC 1 1 0 2 2.2

Page 71: Council on Higher Education (CHE)

70

LeBoHA 1 1 1 3 3.2

LIPAM 3 0 0 3 3.2

LP 0 0 3 3 3.2

LUCT 2 1 0 3 3.2

MAC 3 1 4 8 8.6

NHTC 3 0 0 3 3.2

PSN 0 0 1 1 1.1

SSN 2 0 2 4 4.3

NUL 16 11 23 50 53.8

RCN 1 0 0 1 1.1

IDM 1 0 4 5 5.4

LCE 1 3 0 4 4.3

TOTAL 35 19 39 93 100.0

% Total 37.6 20.4 41.9 100.0

Collaboration between institutions locally and internationally has always been very important.

Institutions collaborate in many aspects of their work, it can be in student and staff exchange

programmes, research and benchmarking of programmes and practices, among other things. An

indication of collaboration is the extent to which the local HEIs network and collaborates with

other institutions locally, regionally and internationally. Table 28 indicates how many

collaborative arrangements each institution has and also shows collaboration indices. There were

a total of 79 collaborative agreements across the 9 institutions which reported on this indicator.

NUL has the highest agreements at 50, but there was no information provided on the number of

organisations or institutions with whom it had the agreements. The rest of the institutions’

collaborative agreements ranged between 3 and 6.

Table 28: Collaboration Indices by Institution and Number of Organisations

Institutions Collaborative Agreements

Established

Number of organisations/

institutions with collaborative

agreements

Collaboration

Index

LP 3 3 1.0

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PSN 6 1 6.0

RCN 1 5 0.2

SSN 4 1 4.0

IDM 5 5 1.0

LCE 4 4 1.0

LIPAM 3 4 0.8

NHTC 3 1 3.0

NUL 50 -

TOTAL 79 24 3.3

9.5 Programmes that have a research component

To further check on the efforts made by institutions relating to research, an assessment was done

about programmes that have a research component. This includes modules within programmes

offered by institutions. A total of 93 programmes were reported to have a research component.

This makes up roughly 62.8 percent of the total number of programmes offered by institutions

(see Table 29). Of the 93 programmes with research component, NUL had 47 programmes which

constituted 50.5 percent followed by LUCT with 15.1 percent. LAC, IDM and LeBoHA were the

lowest with 1.1 percent. Institutions were also asked whether they had any Intellectual Property

Policies (IPP) to ensure that the rights to any original research arising from both staff and students’

academic work were protected. The results show that only four institutions (LIPAM, LUCT, IDM

and NUL) had IPP documents while nine institutions did not have the policy.

Table 29: Distribution of Programmes With Research Component by Institution

HEI Total Number of

Programmes

Programmes that have

research component

% programmes with

research component

LAC 6 1 16.7

LeBoHA 1 1 100.0

LIPAM 2 2 100.0

LP 12 9 75.0

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LUCT 32 14 43.8

MAC 2 2 100.0

NHTC 10 10 100.0

PSN 3 2 66.7

NUL 61 47 77.0

RCN 2 2 100.0

IDM 14 1 7.1

SSN 3 2 66.7

Total 148 93 62.8

9.6 Research Funding

Expenditure allocation on research reflects the commitment of institutions to encourage research

and innovation. It is shown in Table 30 that only three institutions had funds allocated for research

in 2014. This is an increase from two institutions in 2013, with NUL dominating in both years.

This could also explain the increased output in research in this institution in the past two years

compared to the previous reporting period.

Table 30: Funds Allocated to Research by Institution: 2013 and 2014

2013 2014

Institution Allocation Research Research

funding

index

Allocation Research Research

funding

Index

CAS 28,900,000 0 0.0 32,900,000 180,400 0.5

LCE 64,600,000 50,000 0.1 49,700,000 50,000 0.1

NUL 243,000,000 1,500,000 0.6 246,500,000 1,500,000 0.6

Total 400,500,000 1,550,000 0.4 393,000,000 1,680,400 0.4

A research funding index was also calculated. It is the total amount allocated for research

expressed as a percentage of the total HEI allocation in a given year. It measures the trends of

research funding to HEIs and research institutions annually. The results indicate that institutions

allocate an average of less than 1 percent of their total allocated funds to research. This is similar

to the findings of the previous State of Higher Education Report. This is not sufficient to improve

the quantity and quality of research within institutions. Since research is also a core function of

institutions, it is critical that institutions should allocate more funding to research.

Even though improvements were observed as compared to the previous review period, there were

still challenges that affected the research output of institutions. Most research studies done are

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skewed towards academic studies, with little applied research. Research funding and incentives

were not sufficient to improve the quantity and quality of research within HEIs. Furthermore,

there is inadequate professional and financial support for academic staff to conduct research and

engage national and international discussions through collaborations and conferences. It is critical

that these issues are addressed so that research output of institutions can improve.

10.0 FINANCES IN HIGHER EDUCATION INSTITUTIONS

Public higher education institutions are financed by Government. In addition, they charge fees and

have other means of generating revenue. Private institutions mostly generate money through fees

and donations. It is important for government to ensure that private institutions in particular are

financially viable so that they do not get bankrupt and leave students stranded. It is for these

reasons, among others, that both public and private institutions have to account for money

consistently and systematically. It is a legal requirement that public higher education institutions

should report to the Minister of Education and Training on their overall performance. Specifically,

they are also required to present their audited books of accounts on an annual basis. Private Higher

Education institutions on the other hand are required by the same law to submit their certified

audited financial statements to the Registrar of Private Institutions within MOET on an annual

basis.

It is important therefore for this report to review the state of finances in HEIs focusing on such

things as their revenue streams, expenditure patterns, additional sources of funding and auditing

of books of accounts. Information on the financial status of the institution helps to evaluate the

state of financing higher education and the sustainability of the institutions’ revenue streams.

10.1 Financial record keeping

All institutions reported keeping financial records. Six institutions, namely CAS, LUCT, NHTC,

SSN, RCN and IDM received unqualified audits. LeBoHA and PSN reported having qualified

audits. For most institutions, the audit reports were still outstanding and these were LAC, LCE,

LIPAM, LP, MAC and NUL. It is worth noting that in some institutions, last audit reports date as

far back as 2008. It is imperative that institutions strive to ensure that audits are dealt with.

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Similarly, in cases where there are qualified audits, relevant issues should be addressed

accordingly to ensure that the books of accounts are up to date and audits are clean.

10.2 Income patterns of institutions

The institutions were requested to provide reports on their income for the financial year 2013/14.

Table 31 shows income that was determined by the institutions as ideal to run their activities

efficiently during that period. It is not clear how institutions determined the ideal income. Each

institution used a different approach but it is unlikely that it was informed by a scientific

undertaking beyond analysis of their previous annual budgets. Table 31 also shows actual income

that institutions received during the same period and an estimated income gap which is the

difference between the ideal income and actual income in 2013/2014.

The results show that 13 institutions operate with insufficient financial resources, as indicated by

the positive income gap. The institution with the largest income gap was NUL. It had a gap of

M483 million which showed that it was operating with almost one third of its ideal income. LP

had the second largest income gap at M32.1 million operating with almost less than two thirds of

its ideal income. LAC had the third largest income gap of 23.7 million Maloti. However, there

were institutions with relatively low income gaps. For example, NHTC, MAC and LeBoHA all

had income gaps of less than 5 million Maloti, ranging between 3.2 million and 4.9 million. The

exception was IDM which had more actual income than what they would ideally need.

Information provided for LAC and LCE included all their campuses.

Table 31: Income Gap by Institution: 2013/14

Institution Ideal Income (In Million

Maloti)

Actual Income in

(2013/2014) in Million

Maloti

Income Gap (in

Million Maloti)

CAS 38 28.9 9.1

LAC 50 26.3 23.7

LCE 60 49.0 11.0

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LeBoHA 5 0.8 4.9

LIPAM 20 14 6

LP 86 53.9 32.1

LUCT 70 63.9 6.1

MAC 10 6.8 3.2

NHTC 30 26 4

PSN 14 7.4 6.6

SSN 15 8.4 6.6

NUL 726 243 483

RCN 20 10.8 9.2

IDM 11 13.6 -2.6

The proposed Funding Model for HEIs was tested with the previous year’s Government budget

for HEIs and it emerged that some HEIs were over funded while others were underfunded. The

findings in Table 31 corroborate the test results of the Funding Model which revealed that some

HEIs financed by Government such as NUL and LP are underfunded. However, For NHTC,

contradicting results were observed. The findings reflect an income gap of M4 million, contrary

to the funding model document which showed that it was allocated more than what it needed. It is

expected that once the Funding Model is approved and implemented, additional funds will be

availed to bring those HEIs up to the standards required by the Funding Model.

10.3 Revenue /Funding and proportion of funders to overall income

Each institution has at least one main source of funding. PSN has the largest number of funders

followed by CAS and RCN with four funders. Institutions with the large number of main funders

(PSN, CAS, RCN and SSN) are also those institutions with less income gap. Similarly those

institutions with the smallest number of main funders, for example LCE and LP also have a large

income gap, with the exception of LUCT. This is consistent with the fact that the more funders an

institution has the more income it will obtain, and the lower the income gap.

Table 32 shows sources of revenue or funding for institutions and the corresponding proportion

of each source to the total income of the institutions in 2013/2014. The results show that the

government is the main source of income for the majority of institutions. This income is in the

form of government subvention, students’ fees through NMDS as well as Government financial

support for CHAL nursing institutions. Other main funders include NEPI-ICAP, JHPIEGO and

Global Fund for the institutions offering nursing and health-related programmes. Some institutions

did not provide all the sources of their revenue. For instance NHTC and MAC did not include

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76

student fees on their lists yet they all charge fees. The other key issue to note is that the proportion

of different revenue sources in some instances does not add up to 100 percent while in other cases

they add up to more than 100 percent. This might be attributed to poor quality of data. Institutions

should therefore provide accurate and comprehensive data to CHE.

Table 32: Proportion of Revenue by Institution and source of funding: 2013/14

Institution Main funders/Revenue sources Proportion of funding

(2013/2014)

CAS STUDENTS FEES 62.5

CIPFA 19.6

GOL Subvention 11.1

BUSINESS DEVELOPMENT UNIT 2.0

LAC GOL Subvention 91.3

STUDENT FEES 8.7

LCE GOL Subvention

Student fees

Generated income

OSISA

UNICEF

CapEFA- UNESCO

71.3

21.2

5.5

1.2

0.5

0.2

LeBoHA Global fund -

Ministry of health -

LIPAM GOL Subvention 79.9

STUDENT FEES 20.1

LP GOL Subvention 52.0

NMDS 33.0

LUCT STUDENT FEES 96.5

MAC GOL-CHAL 54.1

CHURCH 1.3

NHTC GOL Subvention 100

PSN

GOL-CHAL 42.9

NMDS 51.3

Self- Sponsored students 0.7

NEPI-ICAP 4.7

JHPIEGO 0.2

Sisters of Charity 0.2

SSN

GOL-CHAL 39.4

NEPI-ICAP 13.1

JHPIEGO 3.0

Student fees 30.5

NUL GOL Subvention 43.6

Student Fees 40.9

Student Resident Fees 3.4

RCN GOL-CHAL subvention 40.3

Student fees 25.2

NEPI-ICAP 23.9

JHPIEGO 5.1

IDM GOL subvention (Maintenance Grant)

Student Fees

Government Ministries (Fees for staff

training)

Private Sector (Fees for training)

0.03

34.1

53.1

12.8

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10.4 Expenditure Patterns of Institutions

Table 33 shows expenditure patterns of different institutions categorized into four areas, namely

personnel emoluments, travel and transport, operating costs and capital outlay. Four of the

publicly-funded institutions, namely: NUL, LAC, LP and LCE had more than 70% of their

expenditures on personnel emoluments. NHTC, LAC, RCN and IDM had the most significant

capital outlay at 36.3 percent, 19.8 percent, 17.2 percent and 14.3 percent respectively. Three

institutions, namely, LIPAM, LP and LUCT did not have any capital projects during the period

under review. The rest of the institutions’ capital outlay was low, ranging from 0.4 percent for

MAC to 7.2 percent for PSN.

Table 33: Expenditure patterns by Institution and Some Key Budget Lines: 2013/2014

Institution Personnel

Emoluments

Travel &

Transport

Operating Costs Capital Outlay

CAS 68.3 1.3 27 3.4

LAC 80.2 - - 19.8

LCE 70.2 5.2 24 0.6

LeBoHA - - - -

LIPAM 52.7 3 44.3 0

LP 74.6 3.3 22.2 0

LUCT 49.3 0.1 53.2 0

MAC 45 1 53 0.4

NHTC 26 1.4 36.3 36.3

PSN 28.4 2.9 61.5 7.2

SSN 38.4 2.9 54.6 4.1

NUL 81 1.1 15.1 2.8

RCN 33.2 1.6 48.1 17.2

IDM 53.3 2.5 29.9 14.3

LRA indicated that HEIs are allowed to include their expenditures on staff training in their costs,

thus reducing their tax liability. However, there was no record of the number of claims made to

LRA regarding tax exemption for donations to HEIs in the past three years. As a result, it is not

possible to indicate the rate at which the mechanisms of support have been utilized or taken

advantage of by HEIs during this period.

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10.5 Annual Budget Allocation by Government to HEIs

Government allocates subvention to higher education public institutions. There is also an

arrangement through which government supports CHAL nursing institutions financially. NMDS

administers a subsidized student financial assistance scheme to students studying at both public

and private HEIs. Table 34 indicates the proportion of expenditure on education to total

government expenditure as well as the proportions of expenditure on education allocated to each

HEI. In addition, Table 34 shows the proportion of student bursaries allocated to the HEIs in

relation to the total student bursaries. It is important to note that there is currently no policy on

selection of under-privileged students to be sponsored in HEIs. NMDS selects students based on

academic merit and the institutional quota. In addition, NMDS does not consider the priority areas

for the local institutions when allocating the bursaries.

The total government expenditure on education in the past three years has averaged at 2 billion

Maloti, which is around 16 percent share of total government expenditure on average. NUL has

the largest share of the MOET budget allocation to HEIs, (above 50%) although that share fell in

2013 but increased slightly in 2014. This fall was in line with the reduced ministerial share in the

overall government budget. IDM has the smallest share of the MOET budget. In terms of the

allocation of student bursaries, the share of bursaries allocated to HEIs has been falling

consistently in the past three years from 82 percent of NMDS budget (714 million Maloti) in 2012

to 70 percent (744.2 million Maloti) in 2014. NUL’s share of the student bursary has been falling

consistently during this period. LUCT’s share fell in 2013 but increased again in 2014. The share

of the other local institutions increased in 2013 but fell in 2014.

Table 34: Budget allocation to HEIs

Budget allocation 2012 2013 2014

Total Share Total Share Total Share

Allocation by MOET to the institutions (million Maloti)

NUL 100 62.1 100 56.5 110 58.7

LCE 31 19.2 40 22.6 34 18.1

LP 22 13.7 28 15.8 28 14.9

IDM 5.5 3.4 5 2.8 5.5 2.9

Allocation by NMDS to the institutions (Million Maloti)

NUL 227 38.6 192.8 34 187.2 33.8

LUCT 120.9 20.6 83.6 14.7 110.9 20

OTHER LOCAL

INSTITUTIONS

239.6 40.8 290.6 51.2 255.9 46.2

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Budget allocation to bursaries for

HEIs (million Maloti)

714 82 708.7 80 744.2 70

Allocation of education sector

(billion Maloti)

2.1 17.3 2 14.2 2.3 16.1

CHE has developed a Funding Model for higher education public institutions as a framework for

government subvention allocation to the institutions. However, the model has yet to be approved

by Cabinet. Its main purpose is to enable MOET to allocate subvention to public institutions in a

systematic manner. The Fund has five components which cover operational costs of running an

institution, teaching and learning, research, incentive for improving performance and a component

for financing innovations within HEIs. Once approved, the Funding Model will not necessarily

increase allocations to institutions but it will improve the manner in which allocations are done,

since it proposes clear proportions that are dedicated to specific areas. Furthermore, it will bring

fairness into the allocation process in that such things as enrolments and performance of

institutions will be considered.

11.0 COMMUNITY ENGAGEMENT BY HIGHER EDUCATION INSTITUTIONS

It is critical for HEIs to engage the community around which they operate in a systematic manner.

This engagement can take different forms. For instance, it can be in the form of research studies

being undertaken within the community to solve societal problems and contribute towards

community development. It can also be through other means such as projects being undertaken in

communities by both staff and students. Student attachments and internships can also be classified

as part of community engagement, even though they have a slightly different purpose of exposing

students to the world of work with a view to giving them an opportunity to test the theories they

have learned in practice. This section discusses the efforts that HEIs have made towards

community engagement.

Higher education institutions are well placed to share expert knowledge and research-related

issues of concern with the wider society (MOET 2013). HEIs have made efforts to strengthen,

extend and formalize links between HEIs and communities. These include taking part in activities

of public and private sector bodies and of the community. The institutions were asked about the

programmes which have a community engagement component. All the institutions had at least

one programme through which either public or private entities were engaged. The results indicate

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that out of a total of 158 programmes offered by HEIs, 46.2 percent had a component through

which communities were engaged. NUL reported the highest proportion of 65.8 percent of such

programmes where students, for instance, provided basic supplies to the needy communities.

Conversely, CAS, LeBoHA, PSN and IDM offered only one programme. The rest of the

institutions had programmes with community component that ranged between two and five. One

observation is that these programmes varied widely across the institutions. CAS, for example, had

designed its programme in such a way that students implemented what they had learned in class

to the community through a project called Student Entrepreneurial Community Hand (SECH).

LeBoHA, on the other hand, engaged in primary health care to the community. Other examples

through which there was community engagement were forestry and engineering offered by LAC,

auxiliary social work and environmental health offered by NHTC, school visits-physical

assessment and immunization offered by PSN; and community health project by SSN.

11.1 Programmes with work attachment and internship component

Institutions were asked to provide information on their programmes with work attachment and

internship components and the number of students who had undergone these programmes. The

results show that all institutions provided at least one programme that has work attachment or

internship component. The two terms, attachment and internship seem to be used interchangeably

across the institutions. For example, LP refers to it as industrial attachment whereas the nursing

institutions engage mostly in work attachments. About 75 programmes offered by HEIs had an

attachment or internship component. This made up 47.5 percent of the total programmes offered

by HEIs. LUCT had the highest proportion with 25.3 percent followed by LP and NHTC with

21.3 percent and 16.0 percent respectively. IDM and LeBoHA had the lowest proportions of 1.3

percent. About 3081 students have undergone work attachment or internship programmes across

all the institutions in the past one year. This implies that it was only 13.1 percent of the total student

enrolment.

Although LCE had only two programmes with work attachment, it had the highest number of

students who have undergone internships. Inversely, the institutions with the highest number of

programmes have very low numbers of students who have undergone work attachments. This

suggests that the number of students that have access to the external work environment while still

studying does not depend on the number of programmes offered. What is important is that

institutions should design programmes in such a way that they offer more opportunities for

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students to adequately prepare for the world of work through practical experience in the workplace

while studying.

12.0 QUALITY ASSURANCE MECHANISMS IN HEIs

Establishment of internal quality assurance systems within HEIs is critical. It is important for HEIs

to put up proper mechanisms to ensure that the quality of their processes, teaching and learning,

and ultimately programmes is not compromised. Possible structures and mechanisms required

within a HEI to support quality assurance include development and implementation of quality

assurance standards, a dedicated office with sufficient resources to manage and coordinate quality

assurance activities, an approved and operational policy regulating quality assurance, clearly

defined mechanisms to ensure that lecturers are on task in terms of timely preparation of

timetables, course outlines and being in class on time, timelines within which feedback is given to

students on their assignments and tests, moderation of examination papers and peer review of the

quality assurance systems and processes initiated by the institution itself either conducted by peers

from other faculties, possibly chaired by somebody from outside the institution.

The institutions were asked to provide information that pertains to the quality assurance

coordination mechanisms that they employ. They were asked to say whether there was a body that

coordinates quality assurance activities and provides related information, and whether the

institution had quality assurance policies, mechanisms and tools.

Eleven institutions had a structure that deals with quality assurance within the institution.

Except for LP which had a quality assurance officer, all the other ten institutions had temporary

structures in the form of quality assurance committees, and did not have a dedicated Quality

Assurance (QA) unit. The three institutions that did not have any structure responsible for quality

assurance were CAS, LAC and LeBoHA. Only CAS and LAC did not have a quality assurance

policy. In the majority (8) of institutions, the operational QA policies were in draft form. A critical

question for which data is not yet available is extent to which the temporary structures are actively

promoting the enhancement of quality in the provision of programmes in each institution.

It is necessary therefore, for the institutions to expedite approval of policies for their effective

implementation. A critical question is whether HEIs can deliver quality without the internal quality

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assurance mechanisms being fully established. Work can still be done in institutions without these

mechanisms being fully in place, but quality cannot be assured at the highest level and therefore

may not be achieved. It is critical therefore, that institutions work towards establishing fully

fledged internal quality assurance systems and mechanisms. When the mechanisms are established

and fully operational, quality does not only improve but problems can also be easily picked up and

addressed more effectively. It is therefore imperative that institutions should establish and

implement their internal quality assurance mechanisms. Resources should be availed to enable the

institutions to set up robust QA structures and mechanisms, using the best practices benchmarked

with similar institutions in other countries.

12.1 Programmes that Have Been Accredited in the Last Three Years

In November 2013, CHE embarked on the first round of programme review leading to possible

accreditation. Initially, the review started with 14 existing programmes sampled from the 13 higher

education institutions that existed at the time. LeBoHA’s Family Medicine Specialty Training

Programme had been reviewed prior to this round of review. Existing programmes are subjected

to full review. Typically full review starts with the self-evaluation leading to development of the

Self Evaluation Report (SER). Then the review panel reads the SER along with other programme

documentation before conducting a site visit. The process ends with the review report with a clear

recommendation on the accreditation status of the programme. Following approval by CHE

structure, the report is shared with the institution which then develops an Improvement Plan to be

monitored by CHE officials. The decision framework for new programmes is a summarized in

Box1.

The new programmes are subjected to a desk review process which follows a sequence of activities

similar to the ones listed above, excluding a site visit given the programmes are not yet running.

The decision framework for new programmes is also summarized in Box1 under new programmes.

As for existing programmes that were not part of the sample of the 14 programmes subjected to

full review, they have been classified approved programmes that can be offered by the institutions

until they have been reviewed by CHE. Typically, these programmes are subjected to a partial

review process which is essentially a desk-review process which excludes a site visit, tour of

teaching facilities and interviews with key stakeholders. The decision framework for these

programmes is shown in Box 1 under existing programmes.

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Box 1: Programme Accreditation Decision Framework

The CHE Minimum Programme Accreditation Standards provide a framework for review of programmes

which covers a number of areas including goals and objectives of the programme, programme design,

financing of the programme, staffing, quality assurance system, teaching and learning strategy, student

support, research and innovation, and community engagement. Programmes are classified into two categories,

namely, ‘Existing programmes’ and ‘New programmes.’ The decision framework for existing programmes

consists of the following five levels:

• Full Accreditation: An existing programme that has been subjected to full review meets standards and is

granted full accreditation for a period of five (5) years;

• Probationary Accreditation: An existing programme that has been subjected to full review partially

meets standards and shows potential to fully meet the standards within two years. The programme is

granted probationary accreditation for a period of two (2) years;

• Extended Probationary Accreditation: An existing programme that has been subjected to a partial review

meets some of the key standards and is allowed five (5) years to address the concerns raised in the review

report;

• Accreditation not Granted: An existing programme that has been subjected to full review does not meet

minimum standards;

• Accreditation Withdrawn: A previously accredited existing programme no longer meets minimum

standards.

The decision framework for new programmes consists of two levels:

• Admission to Candidacy: A new programme that has been subjected to either a full review or desk review

meets most of the standards except those that can only be assessed when the programme is running. The

programme is admitted to candidacy phase and allowed to run for two (2) years before it is subjected to

full review;

• Admission to Candidacy not Granted: A new programme that has been subjected either to full review or

desk review does not meet minimum standards. The programme is not admitted to candidacy phase and

is not allowed to run.

From November 2013 to 2015, a total of 38 higher education programmes have been reviewed

and their accreditation status declared. Table 35 provides a summary of the outcome of the process

of programme review.

Table 35: Programmes Reviewed for Accreditation in the Last Three Years

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The fact that

CHE has

reviewed one

or more programmes in all the HEIs, with most of them accredited with certain conditions indicates

that HEIs are not fully compliant with CHE quality assurance requirements.

Some of the key issues that prevent institutions from complying fully with minimum standards

include insufficient budget and inappropriate state of teaching and learning facilities. More

importantly, institutional and programme-related policy documents that are either non-existent or

are not approved. In most cases, it is not clear whether quality enhancement activities are being

implemented. Full compliance will be realised when programmes attain full accreditation

following review by CHE. However, it is important to note that, after receiving the outcome of

each review, each institution develops an Improvement Plan whose implementation is monitored

by CHE. The plans are geared towards addressing the issues raised in each review report. CHE

is yet to collect data on how institutions cope with the challenges of implementing improvement

plans.

Currently, there are many programmes which CHE has not yet reviewed. It is important to

mention that these programmes are recognized and approved by CHE. The institutions are allowed

to offer them until such time that their status will have been determined by CHE after the review

process.

12.2 State of Registration of Private Institutions

The Higher Education Act requires that all private higher education institutions should register

with the MOET before they can operate. The process of registration involves among other things

institutions submitting their programmes to CHE for accreditation as one of the conditions for

registration. One institution was registered namely, Botho University. Six of its programmes have

since been admitted to candidacy for 2 years and allowed to run. The private institutions that

operated before CHE came into being have not yet registered in line with the requirements of the

Act, but they are recognised since the framework for registration had not been developed. Their

Programmes

Accreditation Decision

Number of

Programmes

Existing Full Accreditation 1

Probationary accreditation 12

Extended probationary accreditation 14

Accreditation not granted 4

New Admitted to Candidacy 7

Not Admitted to Candidacy 0

Total

38

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situation will be normalised once all their programmes have been accredited. For instance,

programmes offered by the CHAL nursing institutions have been accredited, with only a few of

them being in the process of finalisation. Once this process has been completed, they will be

allowed to register. The same status will apply to other private institutions which are in the same

category.

12.3 CHE Collaboration With Professional Bodies

The CHE Policy also proposes that statutory professional bodies should be involved in CHE

Quality Assurance related activities. The professional bodies are systematically involved in the

CHE quality assurance activities in programme reviews. CHE works closely with them. For

instance, there is a well-defined working arrangement between CHE and the Nursing Council in

which CHE reviews the programme and the Nursing Council does the same using its own

standards. Though the reviews are done separately, a new programme cannot run until both bodies

have approved it. CHE is at an advanced stage of formalising an arrangement with the Lesotho

Institute of Accountants (LIA) which will work slightly differently from the one with the Nursing

Council. The professional bodies are also usually requested to provide professionals to be part of

the programme review panels in cases where there is no conflict of interest.

13.0 INFORMATION AND COMMUNICATIONS TECHNOLOGIES (ICTs) IN

HEIs

One of the goals of the higher education policy is for HEIs to harness ICTs and keep abreast of

the highly globalised market for higher education. Effective use of ICTs improves efficiency and

quality of operations. The policy envisages utilisation of ICTs in higher education in such things

as the use of computers in teaching and learning, provision of learning materials through the use

of ICT platforms, contribution by academics towards creation of intellectual property for use by

their students and for sharing with others outside and enabling academics, researchers and students

to access a wide range of literature, research resources and learning materials. There is a need for

institutions to upgrade their facilities in order to enhance teaching and learning, research and other

operations. It is critical for them to have ICT infrastructure. Staff of the institutions should be fully

equipped to optimise utilisation of ICTs. It is for these reasons, among others, that it is necessary

to monitor performance indicators related to the use of ICTs in HEIs.

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13.1 Academic Staff with ICT skills

Figure 27 presents the results on academic staff with ICT skills in only 10 HEIs that provided

information on this variable. There were 582 academic staff members in the 10 HEIs and all of

them had ICT skills. NUL and LCE had the highest proportions with 51.9 percent and 20.6 percent

respectively while MAC and IDM were the lowest with less than 1.5 percent each. All these

corresponded to the staffing situation prevailing in those institutions.

Figure 28: Distribution of Academic Staff with ICT Skills

It is to be expected that all academic staff would have ICT skills because generally teaching staff

use computers to prepare for lectures and to compile research reports. When data was sought from

institutions, ICT skills were not defined, hence the analysis was not able to go into the specific

levels of skills held by academic staff members. Future reports will endeavour to dig a little

deeper. HEIs would therefore, be well advised to keep up to date records of their teaching staff’s

ICT skills so as to enable tracking of different indicators in this regard.

13.2 Contribution of lecturers to E-Learning

Information was also collected on the contribution of lecturers to e-learning in higher education.

Only four (4) institutions provided information as presented in Table 37. LP was the only

institution that reported to have contributed in 2012/13 with one lecturer out of 88 staff members

and these made up 1.1 percent of its teaching staff. Improvements were noted in 2013/14 where

four institutions reported to have had staff who contributed to e-learning. A total of 103 staff

contributed to e-learning and this accounted for 29.9 percent of staff from those institutions and

to 12.8 percent of staff in all the institutions. LUCT contributed more with 74.6 percent relative

to its staff complement while LP was at 1.2 percent. The low proportions imply that institutions

NUL51.9%

LCE20.6%

NHTC6.7% LIPAM

3.1%LAC9.1%

PSN2.1%

IDM1.0%

SSN2.2%

RCN1.9% MAC

1.4%Other6.5%

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are not doing enough to encourage academic staff members and researchers to contribute to e-

learning. This could be attributed to a number of factors including limitations in technological

infrastructure such as computer laboratories, electronic projectors, hot spots from which students

can seamlessly access Wi-Fi; technology literacy levels of staff members; and lack of on-line

forums where students engage in academic debates.

Table 36: Contribution of Lecturers to E-Learning (2013/14)

Institution No. of staff who

contributed to e-

learning

Total instructional

personnel

% of staff who

contributed to e-

learning

CAS 5 20 25.0

LCE 6 119 5.0

LP 1 83 1.2

LUCT 91 122 74.6

Total 103 344 29.9

13.3 Availability of computers to academic staff and students

Institutions were also asked to provide data on the number of functional computers available to

students and staff and information on those connected to internet and their condition. A total of

504 computers were available to a staff complement of 582 in these institutions, implying that

86.5 percent of staff members have access to computers.

Table 38 presents information on the ratio of academic staff to computer by institution. This ratio

measures the average number of academic staff members that use one computer. The results

showed that the overall ratio is 2:1, which means that on average two members of the academic

staff shared one computer. This is with the exception of four institutions, LCE, NHTC, SSN and

IDM, which had a ratio of 1:1; meaning that one academic member of staff had a computer at their

disposal.

Table 37: Distribution of Computers Available to Academic Staff

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Institution Computers

available to

academic staff

Number of

Academic

Staff

Ratio of staff

per computer

LAC 37 53 2

LCE 65 120 2

LIPAM 18 18 1

MAC 6 8 2

NHTC 46 39 1

PSN 11 12 2

SSN 20 13 1

NUL 287 302 2

RCN 8 11 2

IDM 6 6 1

Total 504 582 2

Table 39 presents results on the computers available to students and their connectivity to the

internet. The results showed that a total number of 1,820 computers were available to students

across all the HEIs, which constituted 7.7 percent of the student population. Of these computers,

92.6 percent were connected to the internet. The majority of the institutions had all computers

available to students connected to the internet with the exception of NUL, MAC, LP and LCE.

Table 38: Distribution of Computers Available to Students by Institution and Internet

Connectivity: 2013/14

Institution Functional Computers

To Students

Computers for

students connected to

internet

% of computers

connected to Internet

CAS 83 83 100.0

LAC 43 43 100.0

LCE 132 119 90.2

LeBoHA 5 5 100.0

LIPAM 84 84 100.0

LP 148 108 73.0

LUCT 580 580 100.0

MAC 28 21 75.0

NHTC 91 91 100.0

PSN 12 12 100.0

SSN 20 20 100.0

NUL 537 462 86.0

RCN 34 34 100.0

IDM 23 23 100.0

Total 1820 1685 92.6

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The institutions were also assessed on the state of the internet and wireless connectivity. Slow

internet connectivity increases the costs of time spent searching for information on the internet.

About nine institutions reported having reliable internet connectivity and this represented 64.2

percent of the institutions. It is interesting to note that most institutions with slow connectivity

are public HEIs including NUL, LP, LCE, LAC and NHTC. With regard to wireless internet

connectivity, less than (35.7%) half of the institutions reported having satisfactory connection.

This includes CAS, IDM, LeBoHA, LIPAM and PSN although PSN showed that the wireless

connection had low coverage. About half (50%) of the institutions showed that the internet and

wireless connections were not so good. It was either due to limited coverage of wireless

connection or having limited hotspots. LAC and NHTC reported not having wireless connectivity.

Access to computers by students is important for them to do their work. Generally, students access

computers through stand-alone computer laboratories and those attached to facilities such as

libraries. Contrary to staff, where staff-computer ratio is expected to be 1:1, with students one

computer serves many, since they use it in turns. However, when the student-computer ratios are

too high that raises concerns because it means there are too many students competing for one

computer. This situation would mean they would spend a long time waiting in queues to access a

computer in the laboratory.

According to the Minimum Programme Accreditation Standards, the ratio of students to a

computer is 14:1. This means that on average, 14 students share one computer. Table 40 presents

ratios of students per computer in HEIs. A high proportion of 64.3 percent of the institutions meet

the international standards as they have low student-computer ratios. LeBoHA has more

computers than students, given its low enrolment due to the specialised nature of its programmes.

RCN and LIPAM have the lowest student-computer ratios at 4:1. Only 35.7 percent of the

institutions do not meet the standard, as they have high student - computer ratios ranging between

18:1 and 32:1. The implications of these high ratios are that some students do not have access to

computers in these institutions. They should therefore work towards rectifying this situation. The

high ratios might also be due to the fact that some students might have their own personal

computers. Efforts should therefore be made to collect information on the number of students

with personal computers for use in their studies and their economic background.

Table 39: Ratios of Students Per Computer by Institution

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90

Institutions Functional Computers available

to students

Total number of

students

Ratio of students per

computer

CAS 83 1633 20

LAC 43 446 11

LCE 132 4130 32

LeBoHA 5 1 1

LIPAM 84 337 4

LP 148 2797 19

LUCT 580 3078 6

MAC 28 184 7

NHTC 91 504 6

PSN 12 128 11

SSN 20 149 8

NUL 537 9554 18

RCN 34 118 4

IDM 23 486 22

Total 1820 23545 13

Opening and closing times of computer laboratories were checked because the time during which

laboratories stay open reflects the extent to which students have access to ICT facilities in their

institutions. There was a wide variation in opening and closing times of the laboratories across

institutions. The opening times ranged from 07:00am to 09:00am while the closing times ranged

from 4:30 pm to 10:00 pm. There is also variation in terms of the number of days that the

institutions opened their computer laboratories. Only five institutions (LIPAM, LUCT, PSN, RCN

and SSN) opened during weekends. Computer laboratories in most institutions closed early and

did not open on weekends yet these are the times when students have more time to spend in the

laboratories. Ironically, the computer laboratories opened when students were attending lectures,

and they closed when students had time to use them. For part-time students, the situation could be

worse.

14.0 ALIGNING HIGHER EDUCATION PROGRAMMES WITH NATIONAL

PRIORITIES

It is critical to align high education programmes with national priorities. One of the key objectives

of the education sector is to ensure that higher education programmes respond to the needs of

industry and the community in general. Therefore, there is need to ensure that programmes offered

by the HEIs do not just match with the demand of the world of work but also offer entrepreneurial

skills necessary to equip the graduates with skills to engage in self-employment. That

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notwithstanding, it is also important to note that HEIs have other priorities in addition to driving

economic development. These include research and knowledge production. It is therefore

imperative for them to balance between the priorities of the labour market and the relevance of the

curriculum taking a long term view.

14.1 Graduate Employment Rate

Data on graduate employment rate was not available at the Bureau of Statistics and Ministry of

Labour and Employment. Thus, this report is not able to provide a comprehensive picture on

graduate employment. The Ministry of the Public Service, which is responsible for recruiting for

all Government Ministries except for disciplined forces and schools is the only one from which

data was obtained. The data on the number of graduates employed within one year of graduation

by the Ministry of the Public Service indicate that only 3 graduates were hired in 2012 and none

were hired in subsequent years under the same category. It was indicated that there were 10, 525

job seekers on the ministry’s waiting list, with a backlog of graduate job seekers on the waiting

list going as far back as 2000, 2004 and 2005, depending on different programmes. However, the

integrity of this data is questionable because of the challenges related to how it is kept.

Information was sought on which programmes were easy to place within the public service and

those that were hard to place. The top five areas of study whose graduates were considered as the

most difficult to be placed in the civil service by the Ministry of the Public Service because of job

market saturation were reported as Pastoral Care and Counselling, Humanities, Bachelor of

Education, Tourism, general BSc programmes and Marketing. Graduates with these qualifications

were the most difficult to place in the civil service. The top 5 areas of study that were easiest to

place were said to be Human Resources Management, B-Com Accounting, Computer Science,

Economics and Social Work. There were other areas identified in which there was a shortage of

graduates. They included Library Studies, Sports Management, Cooperatives Management and

Accounting, Logistics Management and Internal Auditing.

14.2 HEIs that have done tracer studies

The institutions were asked to provide information on whether they have conducted any tracer

studies of their graduates in the past five years. The findings revealed that LUCT and LCE were

the only institutions that reported to have conducted tracer studies and this represented only 14.2

percent of the institutions. However, it is not clear the extent to which the institutions use feedback

to improve their programmes. The general reason given by other HEIs for not doing tracer studies

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was lack of funding. Without tracer studies, institutions do not know where their graduates end up

and how they perform in the world of work. This means that they are deprived of critical feedback

which could be used to review programmes and make them more responsive to the needs of the

world of work.

14.3 Business creation rate by new graduates

Entrepreneurship is the engine of growth for the private sector development and economic growth.

It is important that HE institutions ensure that the graduates have the necessary skills and

experience to start up a successful business that will create employment for themselves and others.

To check how far institutions have gone in addressing the issue, the institutions were asked to

provide information on their programmes that have entrepreneurship component. Three

institutions (LP, LUCT and NUL) offered entrepreneurship programmes and four (LAC, LP,

LUCT, and NUL) offered programmes with entrepreneurship modules, predominantly LUCT with

78.3 percent of its programmes. However, a worrying observation is that these programmes were

not open to all students.

It has not been possible to get information on the number of graduates creating their own

businesses from the Ministry of Trade and Industry as well as from professional bodies. Such data

would have given a sense of whether those students who go through entrepreneurial studies have

a higher likelihood of establishing their own businesses than those who do not.

15.0 HIV & AIDS RESPONSE IN HEIs

According to the Ministry of Health, Lesotho’s HIV and AIDS prevalence rate is at 23 percent

and being second in the world underscores the urgent need to effectively reinforce prevention,

treatment and impact mitigation interventions. HIV and AIDS interventions at most institutions

except for NUL and LCE are ad hoc and led by service providers from outside the institutions.

The interventions are predominantly on awareness and prevention. The majority of institutions

indicated that even though they do not keep statistics of students who received HIV prevention,

they distributed condoms to them as one of prevention strategies. This was with the exception of

one institution where it was indicated that the head was against the distribution of condoms to the

students. The head’s stance is against the prevention strategies adopted by the Government of

Lesotho.

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Roughly 6,789 students across all HEIs received HIV/AIDS prevention strategies and treatment.

Of these, 99.9 percent received prevention while only 0.1 percent received treatment. The HIV

prevention and treatment services generally include HTC, provision of condoms, male

circumcision, Prevention of Mother to Child Transmission (PMTCT), and provision of ARVs to

those who have been infected and are eligible. These services were mostly not offered by

institutions but arrangements were made with medical centres close to them. In LAC, the students

were referred to the hospital. A police clinic also came in fortnightly for general health services

including HIV related services. There was a non-functional clinic on campus due to lack of funds.

LUCT invited Baylor College, Blood Transfusion Service Department, Population Services

International (PSI) and Lesotho Planned Parenthood Association (LPPA) to give health talks to

all the students periodically. PSI visited this institution twice a year.

NUL had a functional clinic on campus that provided Primary Health Care services to NUL and

the Roma community. It provides HIV Counselling and Testing, ante-natal care including

PMTCT to expectant mothers and Antiretroviral drugs (HAART). While some students utilised

the facility for testing and counselling, it was indicated that because of stigma, students preferred

to go to other medical centres away from campus. LCE also has a well established clinic. Students

and staff are tested and counselled by the college nurses. Besides this, the college organises

Awareness Campaigns and Health Expos in order to expose both the staff and students to

prevention and treatment of various diseases. Curriculum for all programmes at LCE has in its

courses a component on HIV/AIDS education.

16.0 COORDINATION OF THE HIGHER EDUCATION SUB-SECTOR

The Higher Education Policy has been implemented consistently from 2014 after it was approved

by Cabinet at the end of 2013. There has not been much progress on the alignment of policies

affecting the HE sub-sector across different sectors. There is still need therefore to harmonise

sectoral policies with those from other related sectors such as Science and Technology and

Development Planning in so far as the work of NMDS is concerned.

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In respect of improvement of capacity of the unit within the Ministry of Education and Training,

which is responsible for the higher education sub-sector, the level of capacity in terms of number

of staff members working within the unit has not changed since the last state of higher education

reporting period. Thus, the problem of understaffing and the concomitant challenges it comes with

persist.

16.1 Regular and consistent monitoring of higher education policy

implementation

The Monitoring and Evaluation Framework was developed and implemented to monitor the

implementation of the higher education policy and the strategic plan. The performance indicators

articulated in the framework are tracked consistently on a regular basis. Statistical data is collected

from HEIs on an annual basis. Additional qualitative data is collected from all key stakeholders

every two years to supplement the annually collected statistics. A comprehensive report is

compiled every other year out of the data while a statistical bulletin is developed during the

intervening year.

The quality of data from HEIs is very poor. This makes collection and processing of statistical

data by CHE very laborious and tedious. It seems that there is no proper coordination of different

sets of data within HEIs. There are vast variations between data management systems of different

institutions. Some have very complex and sophisticated systems while others have simple excel

based systems. However, the issue of poor data quality cuts across all institutions regardless of

their systems. HEIs still have not fully aligned their databases to the CHE data requirements. They

also do not keep comprehensive data in various areas of their operations. This makes it difficult

for them to provide data readily when CHE requires it. Utilisation of own data within institutions

seems to be very low. If usage were high internally, it would not be such a problem for them to

provide it to CHE or any other stakeholder. Data management personnel in the institutions vary

from qualified IT specialist and Statisticians in others while some institutions engage secretaries

for data management.

Once reports are compiled from the data, they are disseminated to MOET and the institutions as

key stakeholders. Every two years this comprehensive report on the State of Higher Education in

Lesotho is produced. Hence this one is the second. In addition to disseminating it to HEIs, the

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report is also presented at a higher education conference which is held biennially and convened

by CHE. It is envisaged that the same report will be presented to Parliament by the Minister of

Education and Training with a view to informing the nation about how the higher education sub-

sector is performing.

17.0 CONCLUSIONS AND RECOMMENDATIONS

17.1 Conclusions

a) The state of higher education in Lesotho has improved in some areas while it has been

stagnant in others since the last review in 2011/12. Student enrolments trends are on a

downward trajectory for three years running. This is a cause for concern, particularly

because the demand is increasing every year. Not all of them are absorbed by the system

and yet enrolments are declining. This report makes a point that one of the key factors here

is financing of students by the state through NMDS. Those who cannot afford higher

education fall through the cracks and ultimately fail to access higher education. Lesotho’s

gross enrolment ratio is on a downward trend and is already low at 11.0 percent in 2014/15

compared to some countries in the SADC region where it is, for example, 38.5 percent and

27.5 percent in Mauritius and Botswana respectively. This suggests that Lesotho has to

address this issue urgently since it is a clear indication that a high number of students who

are eligible for higher education are not accessing it.

b) Programmes offered by the local HE institutions are varied but not sufficiently specialized.

Most of them are at the diploma and bachelor’s degree levels. This is not where most skills

shortages are. The skills shortages for the developmental needs of the country are at higher

levels. It is therefore important for HEIs to think seriously about introducing more

programmes at those levels where the need is higher. Post- graduate studies at the master’s

and PhD levels are very weak, with only 33 master’s students and one PhD in 2013/14.

The report has discussed the implications of this situation at length with regard to research

and innovation. Lesotho does not compare well with its sister countries in the region.

Botswana and Mauritius are cases in point.

c) The Higher Education Policy and the National Strategic Development Plan stipulate that

while sufficiently broad, programmes offered by HEIs should address national priorities.

Most of them are aligned to the national priorities. However a large number of them fall

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short of addressing scarce skills because they are offered at lower levels. For instance,

students at the diploma level in science related fields account for 53.2 percent of the student

population while those at degree level account for 34.1 percent. Post graduate only account

for 3.2 percent.

d) One of the indicators tracked through this report is the internationalization index in HEIs.

Lesotho’s internationalization index hovers around 11 percent to 12 percent. The number

of international students enrolled in local HEIs is generally low and is on a downward

trajectory. Internationalisation gives a sense of how competitive a country is with its HEIs.

This means that local HEIs are not very competitive. Institutions are neither able to attract

large numbers of international students nor to attract sufficient international talent in terms

of teaching staff from other countries.

e) The body of the report has shown that there are massive fluctuations in the number of staff

of HEIs. Between 2010/11 and 2011/12 there was a drop of 94 people from the total staff

complement of institutions. There was an increase in staff complement by 138 people

between 2011/12 and 2012/13, while there was a drop by 171 between 2012/13 and

2013/14. This causes academic instability within institutions and affects the quality of

programmes and delivery thereof.

f) The CHE Minimum Programme Accreditation Standards require that a person should teach

one level above the qualification being taught. For example, a Diploma holder cannot teach

diploma students. Rather a degree holder should teach a diploma programme. The only

exception can be at the PhD level and in technical programmes such as IT, in which case

a bachelor’s degree holder can teach at higher levels in programmes that are not IT related.

It is an important standard for quality assurance. As shown in the body of the report, there

are some institutions which do not adhere to this standard with dire consequences for the

quality of delivery and ultimately the quality of their graduates.

g) The staff quality index for NUL is estimated at 33.7 percent which is an increase from

previous years. The overall index for other institutions is 41.9 percent which is not too bad

given that it was calculated using a master’s degree as a basis even though a number of

institutions offer only certificate and diploma programmes. The report also showed that

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most institutions make provisions for continuous professional development for their staff

which is in the form of long term studies towards senior degrees and short term training.

h) There seems to be some improvement on the area of information technology and the extent

to which institutions embrace it for enhancing teaching and learning. In 2012/2013 LP was

the only institution that reported contribution to e-learning by lecturers. In 2013/2014,

there was a significant improvement in the contribution to e-learning by lecturers from a

number of HEIs.

i) With respect to research, there are only a few institutions which made budgetary provisions

for research. This results in very low research output. Some of the key reasons for this

were insufficient budget for institutions and lack of capacity to undertake research in a

number of them. There were collaborations that institutions have entered into both at the

local and international level on research.

j) Public institutions are financed by Government through annual subvention allocations.

These, together with fees, are the main sources of revenue for them. Subvention allocation

has been fluctuating at a level where institutions say is low and does not meet their

demands. There are other supplementary funding sources for HEIs by various development

partners and some private companies. However, these seem to make a small percentage of

their budget.

17.2 Recommendations

The following recommendations have been drawn from the findings of this report:

Council on Higher Education

i. Data indicate that some institutions have teaching staff who teach at the same level as their

own qualifications and even above. This is highly irregular, and CHE should enforce its

quality assurance standards to ensure that all institutions comply.

Higher Education Institutions

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ii. The quality of statistical data from HEIs remains problematic. It is therefore critical for

them to improve their data management systems and data quality.

iii. HEIs should endeavour to work on staff retention strategies so as to address the massive

staff fluctuations which result in academic instability.

iv. Programmes offered by local HEIs are generally aligned to the national priorities as

articulated in government policy documents such as NSDP though not all priorities are

addressed. One of the critical factors, as discussed in the report, is that most programmes

are at the sub-degree level whereas the skills shortages are at higher levels. Institutions

should therefore work towards addressing this problem.

v. There is a dire need for HEIs to diversify programme offerings at the post graduate level

and increase intake particularly at the master’s and doctoral levels.

vi. Local institutions are low on the internationalisation index which thing talks to their

competitiveness internationally. They should therefore consider developing strategies for

embracing internationalisation.

vii. While there is an improvement on the institutions contribution towards E-learning, there

is still a great deal to do by HEIs. They should therefore embrace technology fully in

teaching and learning.

viii. Numbers of students with disability are still very low in HEIs. Institutions should provide

the necessary support and facilities for students with disability to enable them to access

higher education.

ix. Most institutions do not conduct tracer studies of their graduates, thus they do not benefit

from feedback on how their graduates are coping in the world of work. Institutions should

therefore undertake periodic tracer studies and utilize information obtained from such.

Government of Lesotho

x. Enrolments at HEIs are on a downward trajectory whereas demand for higher education

keeps increasing. The government, through NMDS, should increase student support and

focus it specifically on needy students.

xi. NMDS should expedite review of its law and policies in order to pave the way for the

introduction of cost-sharing of higher education costs between parents and the state.

xii. Government should increase capital investments into public HEIs so that they can increase

their admissions without compromising quality of teaching and learning.

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xiii. Government should approve and implement the Funding Model for Higher Education

public institutions which will in turn improve on mandatory budget allocation to

institutions for research and other components that are critical for improved quality.

ANNEX 1 Programmes that Basotho Students are enrolled in by Country

Australia China Tanzania

Media studies Education MSC International Trade Policy and Trade Law

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Public Health Environmental sciences UK

Hospital management Biotech studies MSC Forensic science

Applied linguistics Computer science LLM in Business Law

Agriculture MBA Masters in Engineering in telecommunications

Public Policy Economics PhD in Education

Educational studies Commercial law MSC Office Management and Technology

International and development economics

Epidemiology and health statistics USA

Public sector management Corporate management Neuroscience

Botswana Office management and technology Pre medicine

MBA Public policy

MEd. Curriculum studies International relations Tanzania

MA economics Medicine Liberal Arts & sciences

MA Education Mining engineering Bio medicine Technology

Counselling psychology International Trade Engineering sciences

Development Studies Enterprise management B.Comm Monetary Economics

Public Administration Computer applications B.Comm Actuarial sciences

Social sciences Applied psychology General Engineering

LLB Global business journalism Mining Engineering

Information studies Political studies International Political Economy

Brunei Human resource planning and development Zambia

Public Policy Industrial engineering MA. in economics

Canada Property development and management Veterinary medicine

Chemistry Crop cultivation and farming MA. in Education

Czech Republic Occupational health France

MEd. Curriculum studies Development studies and psychology Policy studies

Economics and management Food science technology Zimbabwe

Clinical pathology Medicine

Cuba Project management MA in Public Sector Management

Veterinary medicine Medicine in medical microbiology India

Somatology Logistics Engineering and management M. Tech Electrical Engineering

physical education Geochemistry MSC Information technology

Actuarial sciences Nigeria MBBS

Medicine Ma in Strategic studies MBA

Hydraulic Engineering MA in Education Medicine

Chemical engineering Medicine MA. In Geography

Mechanical engineering Masters In Environmental Science

Malawi Malaysia MBA Finance/Marketing

Medicine MA in Public Admin

Ireland MA in Counselling Psychology

MA International Development

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