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Educating students for their future, rather than our past
London EWF 2018
Andreas SchleicherDirector for Education and Skills
Increased likelihood of positive outcomes
among adults with higher literacy skills (age 16-65)
1.0
1.5
2.0
2.5
3.0
Being Employed High wages Good to excellenthealth
Participation involunteer activities
High levels ofpolitical efficacy
High levels of trust
(scoring at Level 4/5 on PIAAC compared with those scoring at Level 1 or below)
Odds ratio
60
40
20
0
20
40
60
80
Sin
gapo
re
4F
inla
nd
3
Japa
n
5E
sto
nia
7Ir
ela
nd
4
Ma
ca
o (
Ch
ina
) 1
2H
ong K
on
g (
Chin
a)
1
1G
erm
any 4
Slo
ven
ia 7
Kore
a
8
Sw
itzerl
and
4
Ru
ssia
5
Ne
therl
and
s
5
CA
BA
(A
rgentina
)
0P
ola
nd
9
De
nm
ark
11
Austr
alia
9
Ch
ine
se
Taip
ei 1
5B
elg
ium
7N
ew
Zeala
nd
10
Ca
nad
a
16
Spain
9N
orw
ay
9
Czech R
epu
blic
6
La
tvia
11
Sw
ede
n
6P
ort
ug
al 1
2F
rance
9
OE
CD
avera
ge
11
Icela
nd
7
Un
ite
d K
ing
dom
16
Cro
atia
9
Lithu
ania
10
Un
ite
d S
tate
s
16
Hu
nga
ry
10
Austr
ia
17
Ma
lta
2
Lu
xe
mbo
urg
12
Isra
el 6
Slo
vak R
epub
lic
11
Ita
ly
20
Gre
ece
9
Ro
man
ia
7
Mo
ldova
7B
-S-J
-G (
Chin
a)
3
6U
nite
d A
rab E
mira
tes
9C
hile
20
Bulg
aria
1
9A
lba
nia
16
Qata
r 7
Vie
t N
am
5
1M
onte
neg
ro 1
0Jord
an
1
4U
rug
uay
28
Trin
ida
d a
nd T
obag
o
24
Turk
ey 3
0G
eo
rgia
21
Co
lom
bia
25
Tha
iland
2
9F
YR
OM
5C
osta
Ric
a 3
7M
exic
o
38
Tun
isia
7
Peru
26
Bra
zil
2
9In
don
esia
32
Le
ban
on
34
Alg
eria
21
Kosovo
29
Do
min
ican
Rep
ublic
32
Level 6 Level 5Level 4 Level 3Level 2 Below Level 1bLevel 1b Level 1a
Student performance (PISA, Science, 15-year-olds, 2015)
%
Percentage of 15-year-olds not covered by the PISA sample
60
40
20
0
20
40
60
80
Sin
gapo
re
4F
inla
nd
3
Japa
n
5E
sto
nia
7Ir
ela
nd
4
Ma
ca
o (
Ch
ina
) 1
2H
ong K
on
g (
Chin
a)
1
1G
erm
any 4
Slo
ven
ia 7
Kore
a
8
Sw
itzerl
and
4
Ru
ssia
5
Ne
therl
and
s
5
CA
BA
(A
rgentina
)
0P
ola
nd
9
De
nm
ark
11
Austr
alia
9
Ch
ine
se
Taip
ei 1
5B
elg
ium
7N
ew
Zeala
nd
10
Ca
nad
a
16
Spain
9N
orw
ay
9
Czech R
epu
blic
6
La
tvia
11
Sw
ede
n
6P
ort
ug
al 1
2F
rance
9
OE
CD
avera
ge
11
Icela
nd
7
Un
ite
d K
ing
dom
16
Cro
atia
9
Lithu
ania
10
Un
ite
d S
tate
s
16
Hu
nga
ry
10
Austr
ia
17
Ma
lta
2
Lu
xe
mbo
urg
12
Isra
el 6
Slo
vak R
epub
lic
11
Ita
ly
20
Gre
ece
9
Ro
man
ia
7
Mo
ldova
7B
-S-J
-G (
Chin
a)
3
6U
nite
d A
rab E
mira
tes
9C
hile
20
Bulg
aria
1
9A
lba
nia
16
Qata
r 7
Vie
t N
am
5
1M
onte
neg
ro 1
0Jord
an
1
4U
rug
uay
28
Trin
ida
d a
nd T
obag
o
24
Turk
ey 3
0G
eo
rgia
21
Co
lom
bia
25
Tha
iland
2
9F
YR
OM
5C
osta
Ric
a 3
7M
exic
o
38
Tun
isia
7
Peru
26
Bra
zil
2
9In
don
esia
32
Le
ban
on
34
Alg
eria
21
Kosovo
29
Do
min
ican
Rep
ublic
32
Level 6 Level 5Level 4 Level 3Level 2 Below Level 1bLevel 1b Level 1a
Student performance (PISA, Science, 15-year-olds, 2015)
%
Percentage of 15-year-olds not covered by the PISA sample
%
683% GDP
903 bn$551% GDP
12,448 bn$
153% GDP
27,929 bn$86% GDP
402 bn$
Long-term estimated economic gains from every 15-year-old achieving at least basic skills143% GDP
3,650 bn$
• Addressing educational underperformance makes economic growth more inclusive…– The increase in average earnings from attaining universal basic skills amounts to some
4.2% across the 28 countries with universal enrolment in secondary schools.
– This increase is accompanied by a 5.2% average reduction in the achievement-induced part of the standard deviation of earnings
• …and expands the size of the economy– and thus differs from simple tax and redistribution schemes that might change income
distribution but would not add to societal output
– Policies to improve knowledge capital will also promote inclusion and a more equitable income distribution
Inclusive growth
Spending per student from the age of 6 to 15 and
science performance
HungaryCosta Rica
Chinese Taipei
Chile
Brazil
Turkey
UruguayBulgaria
Mexico
Thailand MontenegroColombia
Dominican Republic
Peru
Georgia
11.7, 411
Luxembourg
SwitzerlandNorwayAustria
Singapore
United States
United Kingdom
Malta
Sweden
Belgium
Iceland
Denmark
Finland
Netherlands
Canada
JapanSlovenia
AustraliaGermany
IrelandFranceItaly
Portugal
New Zealand
Korea Spain
PolandIsrael
Estonia
Czech Rep.
LatviaSlovak Rep.
Russia
CroatiaLithuania
R² = 0.41
R² = 0.01
300
350
400
450
500
550
600
0 20 40 60 80 100 120 140 160 180 200
Scie
nce p
erf
orm
an
ce (
sco
re p
oin
ts)
Average spending per student from the age of 6 to 15 (in thousands USD, PPP)
Student-teacher ratios and class sizeFigure II.6.14
CABA (Argentina)
Jordan
Viet Nam
Poland
United States
Chile
Denmark
Hungary
B-S-G-J(China)
Turkey
Georgia
ChineseTaipei
Mexico
Russia
Albania
Hong Kong(China)
Japan
Belgium
Algeria
Colombia
Peru
Macao(China)
Switzerland
Malta
Dominican Republic
Netherlands
Singapore
Brazil
Kosovo
Finland
Thailand
R² = 0.25
5
10
15
20
25
30
15 20 25 30 35 40 45 50
Stu
de
nt-
tea
ch
er
rati
o
Class size in language of instruction
High student-teacher ratios
and small class sizes
Low student-teacher ratios
and large class sizes
OECD
average
OE
CD
ave
rage
Learning time and science performance (PISA)Figure II.6.23
6
7
8
9
10
11
12
13
14
15
16
0
10
20
30
40
50
60
70
Fin
land
Germ
any
Sw
itzerl
and
Japa
nE
sto
nia
Sw
ede
nN
eth
erl
and
sN
ew
Zeala
nd
Austr
alia
Czech R
epu
blic
Ma
ca
o (
Ch
ina
)U
nite
d K
ing
dom
Ca
nad
aB
elg
ium
Fra
nce
No
rwa
yS
loven
iaIc
ela
nd
Lu
xe
mbo
urg
Irela
nd
La
tvia
Ho
ng K
on
g (
Chin
a)
OE
CD
avera
ge
Ch
ine
se
Taip
ei
Austr
iaP
ort
ug
al
Uru
guay
Lithu
ania
Sin
gapo
reD
enm
ark
Hu
nga
ryP
ola
nd
Slo
vak R
epub
licS
pain
Cro
atia
Un
ite
d S
tate
sIs
rael
Bulg
aria
Kore
aR
ussia
Ita
lyG
reece
B-S
-J-G
(C
hin
a)
Co
lom
bia
Ch
ileM
exic
oB
razil
Co
sta
Ric
aT
urk
ey
Mo
nte
neg
roP
eru
Qata
rT
ha
iland
Un
ite
d A
rab E
mira
tes
Tun
isia
Do
min
ican
Rep
ublic
Sco
re p
oin
ts in
scie
nce p
er
ho
ur
of
learn
ing
tim
e
Hours Intended learning time at school (hours) Study time after school (hours) Score points in science per hour of total learning time
11
Digitalisation and education
Democratizing
Concentrating
Particularizing
Homogenizing
Empowering
Disempowering
Environmental
degradation
Climate change
Migration
Middle class
Polarisation
of societies
Renewable energy
Loss of
biodiversityWater and food
shortagesNatural
disasters
Financial
crisesNationalism
Democratisation
Multinational
companies
Harmonization
of values
Interdependent
markets
Trade
opennessEmerging
economies
Poverty
Ageing
Radicalisation
Tourism
Inequality
International
governance
Global
integration
The Race between Technology and Education
Inspired by “The race between technology and education” Pr. Goldin & Katz (Harvard)
Industrial revolution
Digital revolution
Social pain
Universal public schooling
Technology
Education
Prosperity
Social pain
Prosperity
Tasks
without
use of ICT
Tasks with
use of ICT
Non routine tasks
Routine tasks
Non routine tasks
Routine tasks
Tasks
without
use of ICT
Tasks with
use of ICT
TWO EFFECTS OF DIGITALISATION
Non routine tasks,
Low use of ICT
Non routine tasks,
High use of ICT
Routine tasks,
Low use of ICT
Routine tasks,
High use of ICT
Non routine tasks,
Low use of ICT
Non routine tasks,
High use of ICT
Routine tasks,
Low use of ICT
Routine tasks,
High use of ICT
TWO EFFECTS OF DIGITALISATION
(C)
Creating new value connotes processes of creating, making, bringing into being and formulating; and outcomes that are innovative, fresh and original, contributing something of intrinsic positive worth. The constructs that underpin the competence are imagination, inquisitiveness, persistence, collaboration and self-discipline.
In a structurally imbalanced world, the imperative of reconciling diverse perspectives and interests, in local settings with sometimes global implications, will require young people to become adept in handling tensions, dilemmas and trade-offs. Underlying constructs are empathy, adaptability, trust.
Dealing with novelty, change, diversity and ambiguity assumes that individuals can ‘think for themselves’. This suggests a sense of responsibility, and moral and intellectual maturity, with which a person can reflect upon and evaluate their actions in the light of their experiences and personal and societal goals; what they have been taught and told; and what is right or wrong
Comparing skills of computers and adults
0%
5%
10%
15%
20%
25%
30%
35%
40%
Level 1 and Below Level 2 Level 3 Level 4-5
Literacy Proficiency in OECD Countries (PIAAC)
Near-term
computer
capabilities
Bureaucratic Look-up
Devolved Look-outward
Delivered wisdom
User-generated wisdom
Recognising both students and adults as resources for the co-creation of communities, for the design
of learning and for the success of students
The past was divided
Teachers and content divided by subjects and student destinations
Schools designed to keep students inside, and the rest of the world outside
The future is integratedIntegrated: Emphasising integration of subjects, integration of
students and integration of learning contexts
Connected: with real-world contexts, and permeable to the rich resources in the community
Less subject-based, more project-based
Curriculum centered
Learner centred
Uniformity
Diversity
Embracing diversity with differentiated pedagogical practices
Standardisation and ConformityStandardisation and compliance lead students to be
educated in batches of age, following the same standard curriculum, all assessed at the same time.
Ingenious
Building instruction from student passions and capacities, helping students personalise their learning and
assessment in ways that foster engagement and talents.
Learning a placeSchools as technological islands, that is technology was deployed
mostly to support existing practices for efficiency gains
Learning an activityTechnologies liberating learning from past conventions and connect
learners in new and powerful ways. The past was interactive, the future is participative
Administrative control and accountability
Professional forms of work organisation
Idiosyncratic policies
Alignment of policies
Some students learn at high levels
All students learn at high levels
Low math performance
High math performance
Mathematics performanceof the 10% most disadvantaged
American 15-year-olds (~Mexico)
Mathematics performanceof the 10% most privileged
American 15-year-olds (~Japan)
Poverty is not destiny: PISA math performance by decile of social background
PIS
A m
ath
emat
ics
pe
rfo
rman
ce
When fast gets really fast, being slow to adapt makes you really slow
The changes in the demands in our societies have vastly outpaced the structural capacity of our current
governance systems to respond
This may be the last train leaving the station
52
52 Thank you
Find out more about our work at www.oecd.org– All publications
– The complete micro-level database
Email: [email protected]
Twitter: SchleicherEDU
and remember:
Without data, you are just another person with an opinion