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EDUCAUSE Data, Research & Analytics Leah Lang, EDUCAUSE CSG January 2012 ©2012 EDUCAUSE 1

EDUCAUSE Data, Research & Analytics Leah Lang, EDUCAUSE CSG January 2012 ©2012 EDUCAUSE 1

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Page 1: EDUCAUSE Data, Research & Analytics Leah Lang, EDUCAUSE CSG January 2012 ©2012 EDUCAUSE 1

EDUCAUSE Data, Research & Analytics

Leah Lang, EDUCAUSECSG

January 2012

©2012 EDUCAUSE 1

Page 2: EDUCAUSE Data, Research & Analytics Leah Lang, EDUCAUSE CSG January 2012 ©2012 EDUCAUSE 1

2

EDUCAUSE DRA Staff

©2012 EDUCAUSE

Susan GrajekVP for Data, Research, and Analytics

Toby SitkoManaging Director for Research

Pam ArrowaySenior Statistician

Eden DahlstromSenior Research Analyst

Leah LangIT Metrics and Benchmarking Specialist

• Data Visualization Specialist• Senior Research Analyst• Managing Director for Analytics

Recent Additions

Page 3: EDUCAUSE Data, Research & Analytics Leah Lang, EDUCAUSE CSG January 2012 ©2012 EDUCAUSE 1

3

Data, Research & Analytics (DRA)

ECAR

IT Issues Panel

Core Data

Service

©2012 EDUCAUSE

Page 4: EDUCAUSE Data, Research & Analytics Leah Lang, EDUCAUSE CSG January 2012 ©2012 EDUCAUSE 1

4

Data, Research & Analytics (DRA)

ECAR

IT Issues Panel

Core Data

Service

©2012 EDUCAUSE

Page 5: EDUCAUSE Data, Research & Analytics Leah Lang, EDUCAUSE CSG January 2012 ©2012 EDUCAUSE 1

5

EDUCAUSE Center for Applied Research (ECAR)

Established in 2001 to provide research-based evidence to

support effective decision making in higher education.

Nearly 500 colleges and universities subscribe to ECAR.

©2012 EDUCAUSE

Page 6: EDUCAUSE Data, Research & Analytics Leah Lang, EDUCAUSE CSG January 2012 ©2012 EDUCAUSE 1

6©2012 EDUCAUSE

2011 Major Research Studies

Page 7: EDUCAUSE Data, Research & Analytics Leah Lang, EDUCAUSE CSG January 2012 ©2012 EDUCAUSE 1

7

ECAR 2012 Research Agenda 2012 ECAR study of students and information

technology Cross-institutional collaborations and shared services Analytics readiness and needs assessment Service catalogs Benchmarking user satisfaction Research computing: key performance indicators and

maturity index

©2012 EDUCAUSE

Page 8: EDUCAUSE Data, Research & Analytics Leah Lang, EDUCAUSE CSG January 2012 ©2012 EDUCAUSE 1

8

Data, Research & Analytics (DRA)

ECAR

IT Issues Panel

Core Data

Service

©2012 EDUCAUSE

Page 9: EDUCAUSE Data, Research & Analytics Leah Lang, EDUCAUSE CSG January 2012 ©2012 EDUCAUSE 1

9

IT Issues Panel

Established in September, 2011 to provide quick feedback to EDUCAUSE

on current issues, problems, and proposals across higher education IT.

20 member panel of CIOs, senior IT or library leaders, and faculty

©2012 EDUCAUSE

Page 10: EDUCAUSE Data, Research & Analytics Leah Lang, EDUCAUSE CSG January 2012 ©2012 EDUCAUSE 1

10

Top IT Issues in September 2011

1. Integrating IT with the strategic mission of the institution

2. Using analytics to support critical institutional outcomes such as student success

3. The consumerization of IT

©2012 EDUCAUSE

Page 11: EDUCAUSE Data, Research & Analytics Leah Lang, EDUCAUSE CSG January 2012 ©2012 EDUCAUSE 1

11

Data, Research & Analytics (DRA)

ECAR

IT Issues Panel

Core Data

Service

©2012 EDUCAUSE

Page 12: EDUCAUSE Data, Research & Analytics Leah Lang, EDUCAUSE CSG January 2012 ©2012 EDUCAUSE 1

12

Core Data Service (CDS)

Benchmarking service established in 2002 to inform

IT strategic planning and management.

Over 800 colleges and universities Participate annually.

©2012 EDUCAUSE

Page 13: EDUCAUSE Data, Research & Analytics Leah Lang, EDUCAUSE CSG January 2012 ©2012 EDUCAUSE 1

13

http://www.educause.edu/coredata

©2012 EDUCAUSE

Page 14: EDUCAUSE Data, Research & Analytics Leah Lang, EDUCAUSE CSG January 2012 ©2012 EDUCAUSE 1

14

Centralized IT Funding per Student FTE, Adjusted for Inflation 2006–2010

DR EXT DR INT MA BA LA BA GEN AA$0

$500

$1,000

$1,500

$2,000

$2,500

$3,000

US

Dol

lars

per

Stu

dent

FTE

2006 20102008 2006 201020082006 20102008 2006 201020082006 201020082006 20102008

Note: Bottom of bar = 25th percentile, line in bar = 50th percentile/median, top of bar = 75th percentile.

©2012 EDUCAUSE

Page 15: EDUCAUSE Data, Research & Analytics Leah Lang, EDUCAUSE CSG January 2012 ©2012 EDUCAUSE 1

15

Deployment Maturity: Teaching & Learning Technologies

• Facebook• Distance learning with local

students and remote instructor• E-portfolios• Learning objects• Lecture capture• Wikis• E-books• Simulation

TRANSITIONING TO MAINSTREAM

• Document management tools• Hybrid courses• E-learning (wholly online

courses)• Distance learning with local

instructor and remote students

MAINSTREAM

EXPERIMENTAL

• Mobile applications• E-textbooks• Twitter• Open content• Gaming

In transition• Interactive learning• Collaboration tools

(e.g., Google Apps, Sharepoint)

• Blogs

Exp

erim

enta

l

Tran

siti

on

ing

to

M

ain

stre

am

Mai

nst

ream

Content management

Instruction

Social media

Content

Innovative learning

©2012 EDUCAUSE

Page 16: EDUCAUSE Data, Research & Analytics Leah Lang, EDUCAUSE CSG January 2012 ©2012 EDUCAUSE 1

16

E-Mail

©2012 EDUCAUSE

Google Microsoft Google and Microsoft Other0%

20%

40%

60%

80%

100%

AA

BA LA

BA Other

MA

DR

Reasons for Outsourcing Reduce costs Increase storage Access to additional applications

Outsourcing Student E-Mail 58% of U.S. institutions are

outsourcing student e-mail• 65% of AA institutions• 39% of BA institutions

16% have plans to outsource

Page 17: EDUCAUSE Data, Research & Analytics Leah Lang, EDUCAUSE CSG January 2012 ©2012 EDUCAUSE 1

17©2012 EDUCAUSE

Deeper dive into selected portions of CDS September: Connecting Student Data from ECAR and CDS January: Funding Model Archetypes February: IT Expenses Future: Help desk practices, IT security practices,

Cyberinfrastructure update

Page 18: EDUCAUSE Data, Research & Analytics Leah Lang, EDUCAUSE CSG January 2012 ©2012 EDUCAUSE 1

18

Focus for 2012 Data Collection Improve technical functionality Refine/streamline survey Start to include service effectiveness metrics

Networks Enterprise Infrastructure (data centers) Security Administration Support Center Messaging/Messaging Infrastructure (email, webmail, etc)

©2012 EDUCAUSE

Page 19: EDUCAUSE Data, Research & Analytics Leah Lang, EDUCAUSE CSG January 2012 ©2012 EDUCAUSE 1

19

Data, Research & Analytics (DRA)

ECAR

IT Issues Panel

Core Data

Service

©2012 EDUCAUSE

Data Commons

Page 20: EDUCAUSE Data, Research & Analytics Leah Lang, EDUCAUSE CSG January 2012 ©2012 EDUCAUSE 1

20

Data Commons

Vision• The Higher Education Data Commons and Analytics

Collaborative• A single, integrated resource for higher education

benchmarks, outcomes, and analytics:

©2012 EDUCAUSE

– IT– Finance– HR– Faculty data

– Course data– Admissions– IR– Libraries

– Student data– Research

administration– Facilities

Page 21: EDUCAUSE Data, Research & Analytics Leah Lang, EDUCAUSE CSG January 2012 ©2012 EDUCAUSE 1

Rationale

• Analytics can help higher education manage costs and outcomes– Makes sense of complex environments– Can make decisions based on new understanding

• Implementing analytics is a differentiator between high- and low-performing organizations

Page 22: EDUCAUSE Data, Research & Analytics Leah Lang, EDUCAUSE CSG January 2012 ©2012 EDUCAUSE 1

Rationale

• Effective analytics requires good data– The right data– Standardized data

• Higher education lacks good data• The government is showing signs of regulatory

interest– Common Higher Education Data Standards Initiative

Page 23: EDUCAUSE Data, Research & Analytics Leah Lang, EDUCAUSE CSG January 2012 ©2012 EDUCAUSE 1

IN 2012, We Will PLAN AND BEGIN to BUILD• An analytics infrastructure

Serve as a data commons—data we have; can link Provide specialized data mining, business intelligence, and

analytics tools Offer an intuitive, interactive, and useful interface

• Good data Clean data, the right data

• Analytics services to collect, analyze, and deliver data and analytics

• Professional development To build our members’ expertise and capabilities

Page 24: EDUCAUSE Data, Research & Analytics Leah Lang, EDUCAUSE CSG January 2012 ©2012 EDUCAUSE 1

24

Questions for you

• What benchmarks are you looking for?

• What questions could the Data Commons help you answer?

• Wanna help?

©2012 EDUCAUSE

Page 25: EDUCAUSE Data, Research & Analytics Leah Lang, EDUCAUSE CSG January 2012 ©2012 EDUCAUSE 1

25

ECAR Subscriptions

Subscriptions are being renewed right now! Or become a new subscriber to ECAR.

http://www.educause.edu/ECAR/ECARHome/SubscriptionsandSubscribers/98

©2012 EDUCAUSE

Page 26: EDUCAUSE Data, Research & Analytics Leah Lang, EDUCAUSE CSG January 2012 ©2012 EDUCAUSE 1

26

Thank you!

http://www.educause.edu/ecar

Leah [email protected]

©2012 EDUCAUSE

Page 27: EDUCAUSE Data, Research & Analytics Leah Lang, EDUCAUSE CSG January 2012 ©2012 EDUCAUSE 1

27

ADDITIONAL ECAR SLIDES

©2012 EDUCAUSE

Page 28: EDUCAUSE Data, Research & Analytics Leah Lang, EDUCAUSE CSG January 2012 ©2012 EDUCAUSE 1

28

ECAR is Evolving to Increase Value

Consolidating and organizing EDUCAUSE data and research activities:• Research focus and agenda• Research methodology• Research products

©2012 EDUCAUSE

Page 29: EDUCAUSE Data, Research & Analytics Leah Lang, EDUCAUSE CSG January 2012 ©2012 EDUCAUSE 1

29

Research Agenda

TOFROM

• Objectives-based research

• Actionable results• Transparent and

responsive agenda

Descriptive and exploratory research

©2012 EDUCAUSE

Page 30: EDUCAUSE Data, Research & Analytics Leah Lang, EDUCAUSE CSG January 2012 ©2012 EDUCAUSE 1

30

Research Methodology

TOFROM

• Method tailored to the issue

• Shorter, more focused surveys

• Random, stratified panels

• Integrated data sources

• Consistent method applied to all issues

• Long, time-consuming surveys

• Opportunistic sampling

• Data archipelago

©2012 EDUCAUSE

Page 31: EDUCAUSE Data, Research & Analytics Leah Lang, EDUCAUSE CSG January 2012 ©2012 EDUCAUSE 1

31

Research Products

TOFROM

• Six original studies (and growing)

• Research hub• Plan-to-publish:

4–6 months • Core Data “Spotlight”• Member-submitted

research bulletins• Gartner research

• Four original studies• Dissertation model• Long report, summary

report, case studies• Plan-to-publish:

1–1½ years• Member-submitted

research bulletins• Four Burton studies

©2012 EDUCAUSE

Page 32: EDUCAUSE Data, Research & Analytics Leah Lang, EDUCAUSE CSG January 2012 ©2012 EDUCAUSE 1

32

Other Popular Research Bulletins “How Are Students Actually Using IT? An Ethnographic

Study” (Nov. 2011) “From Learning Commons to Learning Outcomes:

Assessing Collaborative Services and Spaces” (Sept. 2011) “Evaluating IT and Library Services with the MISO Survey”

(Jul. 2011) “Clickers in the Classroom: Transforming Students into

Active Learners” (Jul. 2011) “Doing Academic Analytics Right: Intelligent Answers to

Simple Questions” (Feb. 2011)

©2012 EDUCAUSE

Page 33: EDUCAUSE Data, Research & Analytics Leah Lang, EDUCAUSE CSG January 2012 ©2012 EDUCAUSE 1

33

Budding Partnerships

Gartner Research: In 2012, ECAR subscribers will receive: Four IT1 Research Reports (and one in 2011) Access to over 500 research reports via Gartner’s IT

News and Insight service Invitations to Gartner webinars of particular

relevance to higher education

©2012 EDUCAUSE

Page 34: EDUCAUSE Data, Research & Analytics Leah Lang, EDUCAUSE CSG January 2012 ©2012 EDUCAUSE 1

34©2012 EDUCAUSE

In 2012, NSSE is launching the second pilot of its newly designed survey.

Institutions will have the option to include a new “Technology Module,” which was developed in collaboration with Data, Research & Analytics

In addition, NSSE researchers collaborated with ECAR on developing questions for our 2012 student study.

Page 35: EDUCAUSE Data, Research & Analytics Leah Lang, EDUCAUSE CSG January 2012 ©2012 EDUCAUSE 1

35©2012 EDUCAUSE

Data, Research & Analytics consulted on the review of the study methodology.

CHECS reports will be available to ECAR subscribers for free in 2012.

Page 36: EDUCAUSE Data, Research & Analytics Leah Lang, EDUCAUSE CSG January 2012 ©2012 EDUCAUSE 1

36

RESEARCH STUDY RESULTS

©2012 EDUCAUSE

Page 37: EDUCAUSE Data, Research & Analytics Leah Lang, EDUCAUSE CSG January 2012 ©2012 EDUCAUSE 1

37

http://www.educause.edu/ecaridm1101All study materials are now publicly available.

©2012 EDUCAUSE

Page 38: EDUCAUSE Data, Research & Analytics Leah Lang, EDUCAUSE CSG January 2012 ©2012 EDUCAUSE 1

©2012 EDUCAUSE 38

Identity Management Study A survey was sent to EDUCAUSE members

323 institutions in the US and Canada responded Interviews with 55 IT leaders at 43 institutions. Higher education has made substantial progress in the

last five years, but many institutions are still struggling to deliver the full benefits of IdM.

Institutions that report the greatest success have invested in all infrastructure aspects—technical, administrative, and political--required for identity management.

Page 39: EDUCAUSE Data, Research & Analytics Leah Lang, EDUCAUSE CSG January 2012 ©2012 EDUCAUSE 1

Five Core Identity Management Elements

39©2012 EDUCAUSE

Authentication

Role-Based

Authentication

Reducedor

SingleSign-On

FederatedIdentity

EnterpriseDirectoryThe greatest motivator

for engaging in identity management is

security and privacy.

Page 40: EDUCAUSE Data, Research & Analytics Leah Lang, EDUCAUSE CSG January 2012 ©2012 EDUCAUSE 1

*Scale: 1 = very low, 2 = low, 3 = medium, 4 = high, 5 = very high

For comparison, we calculated each institution’s mean reported capability to deliver the 14 IdM benefits; we called the result the institution’s “capability score.”

Capability score improved significantly between 2005 and 2010.

In neither year did capability score vary significantly by Carnegie class, institution size, or institutional control.

Outcome: Identity Management Capability Score

1–1.49 1.5–1.99 2–2.49 2.5–2.99 3–3.49 3.5–3.99 4–4.49 4.5–50%

5%

10%

15%

20%

25%

30%

35%

0%2%

19%

22%

30%

17%

9%

2%0%

2%

8%

14%

31%

26%

14%

7%

Identity Management Capability Score, by Year

2005 (N = 126) 2010 (N = 117)

Capability Score*

Perc

enta

ge o

f Ins

tituti

ons

40©2012 EDUCAUSE

Page 41: EDUCAUSE Data, Research & Analytics Leah Lang, EDUCAUSE CSG January 2012 ©2012 EDUCAUSE 1

41©2012 EDUCAUSE

Using strong passwords Identifiers unique for all time in all cases

Prohibiting unencrypted passwords in all cases

0%

20%

40%

60%

80%

59%

45%

29%

75%

64%58%

2005 2010

Perc

enta

ge o

f Ins

tituti

ons

+26%+19%

+29%

Identity Policies and Practices

Page 42: EDUCAUSE Data, Research & Analytics Leah Lang, EDUCAUSE CSG January 2012 ©2012 EDUCAUSE 1

42©2012 EDUCAUSE

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

Not con-sidering Evaluating Planning

Partial Imple-

mentation

Ful-lImple-

mentation

Implementation of Automated Role-Based Authorization

Institutions with fully operational implementations reported better IdM outcomes:

1. Getting expected value from IdM projects2. Meeting expectations about cost savings from

IdM projects3. Reported capability to engage in IdM projects

Page 43: EDUCAUSE Data, Research & Analytics Leah Lang, EDUCAUSE CSG January 2012 ©2012 EDUCAUSE 1

43©2012 EDUCAUSE

AA

BA Gen

BA LA

MA

DR

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

44%

32%

21%

34%

6%

33%

44%

44%

30%

18%

15%

12%

18%

7%

18%

5%

8%

6%

19%

31%

3%

4%

12%

10%

26%

Stage of Implementation of Federated Identity

Not considering Currently evaluating Planning Implementing or partially operational Fully operational

Percentage of Institutions

57%

29%

18%

12%

8%

Demand for cloud computing in the coming year will increase the need for federated ID solutions.

Page 44: EDUCAUSE Data, Research & Analytics Leah Lang, EDUCAUSE CSG January 2012 ©2012 EDUCAUSE 1

©2012 EDUCAUSE 44

http://www.educause.edu/Resources/MobileITinHigherEducation2011R/238470Full report publicly available in May 2012.

Page 45: EDUCAUSE Data, Research & Analytics Leah Lang, EDUCAUSE CSG January 2012 ©2012 EDUCAUSE 1

©2012 EDUCAUSE 45

ECAR Mobile IT Study

• 925 EDUCAUSE members were invited to respond– Roughly half of EDUCAUSE members invited– Stratified across Carnegie classes

• Responses were received from 209 institutions– Overall response rate of 23%

Page 46: EDUCAUSE Data, Research & Analytics Leah Lang, EDUCAUSE CSG January 2012 ©2012 EDUCAUSE 1

©2012 EDUCAUSE 46

Student- and Public-Facing Services Are Enabled First

22%

16%

10%

29%

8%

35%

0%

5%

10%

15%

20%

25%

30%

35%

40%

A lot, almost all, or all None or almost none

Perc

enta

ge o

f Ins

titut

ions

Amount of Current Mobile Demand Being Met for Three Constituencies

Students

Faculty

Staff

Services focused on staff arelanguishing, relative to

student-focused services.

Page 47: EDUCAUSE Data, Research & Analytics Leah Lang, EDUCAUSE CSG January 2012 ©2012 EDUCAUSE 1

©2012 EDUCAUSE 47

Maturity for Mobile-Enablement

• Primary web presence• Learning/course management

services

TRANSITIONING TO MAINSTREAM

• Library catalog and other library services

• IT services and support• Administrative services for

student information• Student recruitment and

admissions• Advancement/development/

alumni services

EXPERIMENTAL

EMERGENT

• Faculty biographies and CVs• Facilities and space services• Payroll and benefits services• Financial services• Procurement services• Health services (institutional

health center)• Grants management

services

In transition• Administrative

services for student information

• Student recruitment and admissions

MAINSTREAM• None

Em

erg

ent

Exp

erim

enta

l

Mai

nst

ream

Tran

siti

on

ing

to

M

ain

stre

am

Main public- andstudent-facing

services

Library, IT, and key constituent

servicesPeripheral

services for faculty and

students Right Click for Data

Page 48: EDUCAUSE Data, Research & Analytics Leah Lang, EDUCAUSE CSG January 2012 ©2012 EDUCAUSE 1

On Average, More Mobile Enablement Occurs Where Central IT Spends More On It

©2012 EDUCAUSE 48

It costs roughly $5k to mobile-enable a service

Page 49: EDUCAUSE Data, Research & Analytics Leah Lang, EDUCAUSE CSG January 2012 ©2012 EDUCAUSE 1

©2012 EDUCAUSE 49

More Staff Working on Mobile-Enablement Results in Greater Progress

6.28

1.78 1.72 1.50

0.90

0.0

1.0

2.0

3.0

4.0

5.0

6.0

7.0

Central IT Other Central Office Cross-InstitutionalCollaboration

Vendor Local or DepartmentalIT

Mea

n*

Who Is in Charge of Mobile-Enablement?

Page 50: EDUCAUSE Data, Research & Analytics Leah Lang, EDUCAUSE CSG January 2012 ©2012 EDUCAUSE 1

©2012 EDUCAUSE 50

Most Activity is in Generic Mobile Web

No discernible strategy, 45%

Mobile web only, 24%

Mobile web and native apps, 13%

Native apps only, 8%

Other combination, 10%

Pattern of Inactivity is Reflected in Development Strategy

Page 51: EDUCAUSE Data, Research & Analytics Leah Lang, EDUCAUSE CSG January 2012 ©2012 EDUCAUSE 1

Respondents Broadly Support Collaborations

©2012 EDUCAUSE 51

0% 1%

10%

34%

56%

0%

10%

20%

30%

40%

50%

60%

Stronglydisagree

Disagree Neutral Agree Strongly agree

I am personally in favor of them. (n = 207)

0% 2%

15%

42% 41%

0%

10%

20%

30%

40%

50%

60%

Stronglydisagree

Disagree Neutral Agree Strongly agree

They would be a successful model. (n = 206)

0%

8%16%

39% 37%

0%

10%

20%

30%

40%

50%

60%

Stronglydisagree

Disagree Neutral Agree Strongly agree

They could save higher education money. (n = 202)

0%5%

17%

54%

25%

0%

10%

20%

30%

40%

50%

60%

Stronglydisagree

Disagree Neutral Agree Strongly agree

We might accept compromises to save money.

(n = 203

Page 52: EDUCAUSE Data, Research & Analytics Leah Lang, EDUCAUSE CSG January 2012 ©2012 EDUCAUSE 1

52

http://www.educause.edu/ECAR/TheHigherEducationCIOPortraito/236114Full report publicly available in March 2012.

©2012 EDUCAUSE

Page 53: EDUCAUSE Data, Research & Analytics Leah Lang, EDUCAUSE CSG January 2012 ©2012 EDUCAUSE 1

©2012 EDUCAUSE 53

IT Workforce and Leadership Study

• 30,000 individuals in the EDUCAUSE database were invited to respond– Unlike most ECAR surveys which go to institutions

• Responses were received from 3,400 people from more than 1,000 institutions. – 368 senior IT leaders (whom we refer to as CIOs)– 545 CIO “aspirants”– 2,487 other IT staff

Page 54: EDUCAUSE Data, Research & Analytics Leah Lang, EDUCAUSE CSG January 2012 ©2012 EDUCAUSE 1

©2012 EDUCAUSE 54

Higher Education CIOs Are Doing More

Standard functions reporting to the CIO include user support, administrative information systems, network infrastructure, data center operations, IT security and policy, and telephony.

From 2005 to 2009, half of institutions reported adding more official functions to the central IT organization.

IT planning and budgeting activities have significantly increased in central IT.

Page 55: EDUCAUSE Data, Research & Analytics Leah Lang, EDUCAUSE CSG January 2012 ©2012 EDUCAUSE 1

©2012 EDUCAUSE 55

The CIO is No Longer in the “IT Box”

The CIO position is more strategically oriented. Half of CIOs selected IT funding as one of the top-five

issues they spend time on. CIOs cited the importance of being able to

communicate, think strategically, influence, negotiate, and manage relationships.

CIOs must know how to introduce a new technology, as well as which ones to introduce.

Page 56: EDUCAUSE Data, Research & Analytics Leah Lang, EDUCAUSE CSG January 2012 ©2012 EDUCAUSE 1

©2012 EDUCAUSE 56

In Next Six Years, 31% of CIOs Plan to Retire or Leave Higher Education

Plan to stay in higher educa-tion42%

Did not know or did not give enough in-formation

28%

Plan to retire in next six years22%

Plan to leave higher education in next six years

9%

n = 368

Page 57: EDUCAUSE Data, Research & Analytics Leah Lang, EDUCAUSE CSG January 2012 ©2012 EDUCAUSE 1

©2012 EDUCAUSE 57

Results Suggest a Sufficient Supply of Aspirants in Coming Years

Aspirants Expected Vacancies0

50

100

150

200

250

300

350

400

450

186

234

113

Nu

mb

er

of R

esp

on

de

nts

Currently at non-executive level

Currently at ex-ecutive level

Page 58: EDUCAUSE Data, Research & Analytics Leah Lang, EDUCAUSE CSG January 2012 ©2012 EDUCAUSE 1

©2012 EDUCAUSE 58

A Culture of Succession Planning is Needed Within Higher Education

74% of CIOs come from within higher education. Roughly half of those from within the institution.

Only 31% of CIOs indicated that they are held responsible for identifying a successor.– However, 64% of CIOs have identified a successor.

Aspirants who are being groomed for the CIO position are more optimistic about job opportunities.– However, less than one-third of staff selected

mentoring as a top factor in their professional growth.

Page 59: EDUCAUSE Data, Research & Analytics Leah Lang, EDUCAUSE CSG January 2012 ©2012 EDUCAUSE 1

©2012 EDUCAUSE 59

http://www.educause.edu/Resources/ECARNationalStudyofUndergradua/238012

All study materials are publicly available.

Page 60: EDUCAUSE Data, Research & Analytics Leah Lang, EDUCAUSE CSG January 2012 ©2012 EDUCAUSE 1

…they prefer small, mobile ones.

©2012 EDUCAUSE 60

Technology Students Own

Laptop 87%

Printer 81%

DVD Player 75%

USB Thumbdrive 70%

Wi-Fi* 67%

Stationary gaming device 66%

iPod 62%

HDTV 56%

Smartphone 55%

Digital Camera 55%

Webcam 55%

Desktop Computer 53%

Handheld Gaming Device 38%

Netbook 11%

iPad 8%1

8

23 4

5

7

9

1011

12

13

14

15

1

2

3

4

5

6

7

8

9

10

11

12

13

14

15

Traditional age college students (18-24) and those from households of $100K+ own more technology than their counterparts.

6

Technology Ownership

*Likely interpreted by the respondent as having access to Wi-Fi

Students own many different devices...

Page 61: EDUCAUSE Data, Research & Analytics Leah Lang, EDUCAUSE CSG January 2012 ©2012 EDUCAUSE 1

61

Students Rely on Traditional Devices…

…and Core Software

©2012 EDUCAUSE

Page 62: EDUCAUSE Data, Research & Analytics Leah Lang, EDUCAUSE CSG January 2012 ©2012 EDUCAUSE 1

62

Students Recognize the Major Benefits of Technology

Laptop computer

Wi-Fi

USB Thumbdrive/portable harddrive

Netbook

Net: Smartphones

eReader (e.g., Kindle, NOOK)

Other mobile/cell phone

Other tablet - not an iPad

iPadmp3 player/music device (other than

iPod)iPod

Handheld/portable gaming device

81%

78%

64%

46%

33%

33%

32%

26%

24%

23%

18%

14%

Value of Technology for Academic SuccessPercent Responding “Extremely Valuable”

Wi-Fi access is key to student

success, and students want

access from everywhere on campus.

…they value anytime, anywhere access

…they use their smartphones for academics

…they wish their instructorsused technology more often

©2012 EDUCAUSE

Page 63: EDUCAUSE Data, Research & Analytics Leah Lang, EDUCAUSE CSG January 2012 ©2012 EDUCAUSE 1

63

Students Report Uneven Perceptions of Technology

…I know more than my teachers

PD opportunities for faculty…

…but studentswant more technology

Institutions provide these services well…

©2012 EDUCAUSE

Page 64: EDUCAUSE Data, Research & Analytics Leah Lang, EDUCAUSE CSG January 2012 ©2012 EDUCAUSE 1

64

Facebook-Gen Students Juggle Communication Tools

Frequency of Use for School or Personal PurposesE-mail

Text message

Use Facebook

Download or stream web-based videos (YouTube, etc.)

Read Wikis (Wikipedia, course wiki, etc.)

Instant message (Gchat, Facebook chat, AIM, etc.)

Download or stream web-based music

Read blogs

Use online forums or bulletin boards

Use telephone-like communication over the Internet

Watch podcasts or webcasts

Participate in online chats, chat events, webinars

Use photo-sharing websites (Flickr, Snapfish, Picasa, etc.)

Tagging/bookmarking/liking

Play online multi-user computer games for recreation

Contribute to blogs

Post videos to a video-sharing website (YouTube, etc.)

Use Twitter

Use other social networking websites (MySpace, etc.)

Access Internet content via a TV (Apple TV, Roku)

Use LinkedIn

Contribute to Wikis (Wikipedia, course wiki, etc.)

Use social studying sites

Use Geo-Tagging, Geo-Tagged environments

Participate in online virtual worlds

75%

74%

58%

20%

12%

27%

15%

13%

11%

7%

6%

6%

9%

13%

6%

14%

14%

12%

12%

11%

9%

11%

7%

5%

6%

9%

8%

11%

33%

35%

22%

30%

23%

23%

21%

18%

15%

13%

17%

15%

11%

8%

9%

6%

7%

6%

5%

7%

99%

93%

90%

85%

85%

81%

79%

72%

70%

68%

59%

53%

50%

49%

43%

43%

42%

37%

31%

25%

25%

25%

23%

18%

15%

18%

26%

20%

23%

27%

25%

33%

33%

28%

32%

20%

14%

24%

29%

12%

17%

12%

15%

18%

12%

9%

8%

Once a day

A few times a week

Less often

Total

…more on how students use social networks

Students are comfortable communicating with other students on Facebook about academics; however, they prefer their communication with instructors to be more formal (using email for this purpose instead).

mass a

doption…

just ab

out eve

ryone

is usin

g it

©2012 EDUCAUSE

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65

Students Prefer…

Seminars and other smaller classes with some online components

Classes that give me the option to use as many or as few online components as I need to

Large lecture classes with some online components

Seminars and other smaller classers with no online components

Seminars and other smaller classes that are completely online

Large lecture classes with no online components

Large lecture classes that are completely online

36%

22%

16%

10%

6%

5%

5%

…and say they learn more in blended courses

…courses with online components…Preferred Learning Environment

Nea

rly 8

0% p

refe

r ble

nded

env

ironm

ents

©2012 EDUCAUSE

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66

http://www.educause.edu/coredata

©2012 EDUCAUSE

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67©2012 EDUCAUSE

Funding Sources by IT Function

System/District

Resale of Products

Other Sources

Operating Approp.

Cost Recovery

Capital Approp.

Student IT Fees

Info Systems, E

RP

Web Support Serv.

Data Center Oper.

Support Service

s

Identity Mgmt.

Educational Tech.

Comm. Infra

structu

re

Office of the CIO

Research Computing