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EDUCATION FOR INNOVATION: CURRICULUM, PEDAGOGY, ASSESSMENT Stéphan Vincent-Lancrin, Senior Analyst and Project Leader & Francesco Avvisati, Carlos Gonzalez-Sancho, Kiira Kärkkäinen, Analysts

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EDUCATION FOR INNOVATION:

CURRICULUM, PEDAGOGY,

ASSESSMENT

Stéphan Vincent-Lancrin, Senior Analyst and Project Leader & Francesco Avvisati, Carlos Gonzalez-Sancho, Kiira Kärkkäinen, Analysts

Skills and education for innovation « 21st Century Skills »

Innovation

Skills

Education and

training

skills for innovation

Skills for innovation

• Is innovation hampered by a lack of qualified personnel?

• What skills/qualifications foster innovation in the economy?

• Has innovation led to a change in the level and type of education demanded?

• Are certain uses of workforce skills associated with more innovation?

Innovation

Skills

Education and

training

Diversity of qualifications for innovation

across sectors (example: Australia)

Mining Electricity, Water, Gas

Finance and insurance

Fields of study of highly innovative

professionals (%), selected sectors

43.3

6.7

20.9

1.5

8.2

7.3

9.9

2.8

2.5

0.8

1.1

53.6

18.4

51.5

20.8

3.3

8.7 17.0

10.4 11.1

0

20

40

60

80

100

Manufacturing Financial intermediation

Business activities

Health

others

law

education

arts

humanities

social sciences

business

agriculture

health

architecture

sciences & maths

engineering & computing

Source: OECD, based on REFLEX and HEGESCO data

What share of graduates of a given field

have a highly innovative job?

Product /service innovation

20.4

23.4

23.5

25.1

27.6

28.2

28.4

28.9

30.3

32.6

35.8

36.3

0 10 20 30 40 50

law

humanities

health

services

business

education

Average

social sciences

sciences

agriculture

engineering

arts

Source: OECD, based on REFLEX and HEGESCO data

What share of graduates of a given field

have a highly innovative job?

Technology, tool, instrument innovation

12.4

13.2

15.1

16.1

16.3

16.9

18.6

21.0

23.9

23.9

32.6

34.8

0 10 20 30 40 50

law

humanities

social sciences

education

health

services

business

Average

arts

agriculture

sciences

engineering

Source: OECD, based on REFLEX and HEGESCO data

What share of graduates of a given field

have a highly innovative job?

Knowledge / method innovation

30.4

32.7

35.1

36.0

36.8

37.7

38.1

38.3

39.5

41.2

41.8

46.7

0 10 20 30 40 50

law

services

business

humanities

health

social sciences

arts

Average

agriculture

engineering

education

sciences

Source: OECD, based on REFLEX and HEGESCO data

individual skills for innovation

Critical skills for the most innovative jobs

(according to tertiary-educated workers)

1.56

1.76

1.76

1.81

1.94

1.95

1.97

1.98

1.99

2.00

2.02

2.05

2.11

2.15

2.18

2.24

2.34

2.44

2.97

0.50 1.00 1.50 2.00 2.50 3.00

assert your authority negociate

knowledge of other fields perform under pressure

write reports or documents work productively with others

mobilize capacities of others use time efficiently

make your meaning clear use computers and internet

write and speak a foreign language coordinate activities

master of your own field analytical thinking

present ideas in audience alertness to opportunities

willingness to question ideas acquire new knowledge

come with news ideas/solutions

Likelihood (odds ratios) of reporting the following skills: people in the most innovative jobs vs. least innovative jobs

Source: OECD, based on REFLEX and HEGESCO data

What individual skills should

education systems foster?

Technical skills (know-what and know-

how)

Skills in thinking and creativity

(Critical thinking, observation, curiosity,

ability to make connections,

imagination,...)

Behavioural and social skills (character)

(Self-confidence, energy, perseverance, passion,

leadership, collaboration, communication)

Technical skills

• What subjects? Any – Foundational skills: domestic language (reading and

writing), arithmetics

– History, maths, science, IT, history, foreign languages, civic education, humanities, social sciences, technical fields, sports, etc.

• What skills? – Know-what (content,

technical vocabulary)

– Know-how (procedural knowledge, problem solving, )

Technical skills

Skills in thinking and

creativity

Behavioural and social skills

(character)

Skills in thinking and creativity

• Critical thinking – Challenging assumptions

– Arguing and assessing arguments

– Dealing with uncertainty

– Problem finding (rather than problem solving)

• Creativity – Imagining, generating ideas, playing with possibilities

– Making connections, exploring

– Daring to be different, original

Technical skills

Skills in thinking and

creativity

Behavioural and social skills

(character)

Behavioural and social skills (character)

• Social skills – Collaboration (listening, sharing, giving/receiving

feedback)

– Communication (presentation, arguing, empathy)

– Leadership (inspire, mobilise capacity of others)

• Behavioural skills – Self-confidence and

humility

– Energy, passion

– Persistence, resilience

Subject-based skills

Skills in thinking and

creativity

Behavioural and

social skills

(character)

Some comments on these skill

categories

• They are domain-specific – Skills are generally domain-specific: one is creative in a field, one knows

how to behave/communicate in a specific context, one has problem-solving skills in a field, one has content knowledge in a field

• They can become « domain-generic » – A skills becomes « domain-generic » when one has gained it in a number

of domains or settings, so that it becomes a « habit of mind » (a disposition or a stabilised skill) that one can apply to new fields

• They overlap and may reinforce each other

But

• They are different and cannot be reduced to a single skill (or measure)

Technical skills

Skills in thinking and

creativity

Behavioural and social skills

(character)

science education for innovation

Education for innovation

Innovation

Skills

Education and

training

• Do education systems foster simultaneously all sets of skills for innovation?

Do countries foster simultaneously technical and

behavioural skills? Not necessarily

AUS

AUT

BEL

CAN

CHL

CZE

DNK

EST

FIN

FRA DEU

GRC

HUN

ISL

IRL

ISR

ITA

JPN

KOR

LUX

MEX

NLD

NZL

NOR

POL

PRT

SVK

SVN

ESP

SWE

CHE

GBR

TUR

USA

BRA

HKG

MAC

IDN

RUS

440

460

480

500

520

540

560

580

600

620

640

380 400 420 440 460 480 500 520 540 560 580 600 620

Inte

rest

in

Sci

ence

To

pic

s

Science Score

HIGH SCORE HIGH INTEREST

LOW SCORE LOW INTEREST

LOW SCORE HIGH INTEREST

HIGH SCORE LOW INTEREST

Example: Science scores and interest in science are not always fostered simultaneously

Source: OECD, based on PISA 2006

Robustness

partial correlation coefficents between science interest and

science score

(1) (2) (3) (4) (5) (6)

partial correlation -0.74 -0.71 -0.66 -0.69 -0.74 -0.56

controls:

GDP p/c X X X

Luxembourg X X

Self-concept (mean) X X

Self-efficacy (mean) X X

Culture (Hofstede 4-

dim) X X

N 34 34 33 34 32 31

CH

L

US

A

PR

T

ISR

ITA

PO

L

BE

L

NZ

L

ME

X

TU

R

NL

D

SV

K

ES

P

CZ

E

HU

N

AU

T

ES

T

GB

R

SV

N

GR

C

CA

N

DE

U

FIN

IRL

AU

S

CH

E

LU

X

FR

A

DN

K

SW

E

NO

R

ISL

JP

N

KO

R

BR

A

RU

S

HK

G

IDN

MA

C

-1

0.5

0

0.5

1

between-school correlation of average interest and scores

CH

L

PO

L

ME

X

HU

N

PR

T

US

A

ES

T

TU

R

SV

K

CZ

E

ITA

ES

P

ISR

GR

C

LU

X

AU

T

DE

U

BE

L

NZ

L

NL

D

GB

R

IRL

CH

E

FR

A

AU

S

CA

N

KO

R

SV

N

DN

K

JP

N

SW

E

FIN

NO

R

ISL

BR

A

RU

S

IDN

MA

C

HK

G

0.6

0.3

1E-15

0.3

0.6

within-school correlation of individual interest and scores

Source: OECD, based on PISA 2006

The Test-Score/Interest Paradox

Do countries foster simultaneously technical and

behavioural skills? Not necessarily

AUS

AUT

BEL

CAN

CHL

CZE

DNK

EST

FIN

FRA DEU

GRC

HUN

ISL

IRL

ISR

ITA

JPN

KOR

LUX

MEX

NLD

NZL

NOR

POL

PRT

SVK

SVN

ESP

SWE

CHE

GBR

TUR

USA

BRA

HKG

MAC

IDN

RUS

440

460

480

500

520

540

560

580

600

620

640

380 400 420 440 460 480 500 520 540 560 580 600 620

Inte

rest

in

Sci

ence

To

pic

s

Science Score

HIGH SCORE HIGH INTEREST

LOW SCORE LOW INTEREST

LOW SCORE HIGH INTEREST

HIGH SCORE LOW INTEREST

Example: Science scores and interest in science are not always fostered simultaneously

Source: OECD, based on PISA 2006

Science education for innovation

• Are some pedagogies more effective in fostering simultaneously all sets of skills for innovation?

Innovation

Skills

Education and

training

PISA 2006: a within-country analysis

• Interaction

– Collaboration and participatory exchanges

• Application

– Drawing connections between school science and the outside world

• Hands-on

– Guided activities around lab experiments

• Investigation

– Autonomous student inquiries

Teaching indicators in PISA 2006 based on 4 clusters of activities:

Pedagogies for innovation skills

4 8

1 -1 -2

-2

-10

-0.15

-0.1

-0.05

0

0.05

0.1

0.15

0.2

0.25

0.3

Science score

20

3 6

-2 -1 -1

-0.15

-0.1

-0.05

0

0.05

0.1

0.15

0.2

0.25

0.3

Interest in Science Topics

Pedagogies for innovation skills

26

1

11

2

-1 -3

-0.15

-0.1

-0.05

0

0.05

0.1

0.15

0.2

0.25

0.3

Science Enjoyment

15

4 5 4

-0.15

-0.1

-0.05

0

0.05

0.1

0.15

0.2

0.25

0.3

Science Self-Efficacy

Science education for innovation

Other ongoing work:

• Cooperative and metacognitive practices in math education

• Project-based and ICT-based pedagogies in science

• The role of informal science programmes

Innovation

Skills

Education and

training

arts education for innovation

Arts education for innovation

• What is the impact of arts education on the different sets of skills for innovation?

Innovation

Skills

Education and

training

Art for Art’s Sake? The impact of arts

education (OECD, forthcoming 2013)

• A report based on a meta-analysis of empirical studies since 1950

• Languages covered: English, Finnish, French, German, Italian, Japanese, Korean, Spanish

• Arts education: music, visual arts, theatre, dance – and « multi-arts »

• Skills covered: – Academic non-arts skills (verbal, maths, spatial)

– Skills in thinking and creativity (creativity, problem solving)

– Behavioural and social skills (self-confidence, emotion regulation, empathy, perspective taking, motivation)

Multi-arts education and non-arts

academic skills

401

433

441

444

448

454

456

465

465

474

489

495

497

491

503

503

350 370 390 410 430 450 470 490 510 530

No Arts

Dance

Art History/Appreciation

Studio Art/Design

Music Performance

Drama Appreciation

Music History/Theory/Appreciation

Drama

An association… United States: SAT scores of students taking following subjects in high school

Multi-arts education and subject-based skills

0

0.02

0.04

0.06

0.08

0.1

0.12

0.14

0.16

0.18

0.2

Correlational Experimental

Composite Verbal Math

…but no causality

Strengthening verbal skills through the

use of classroom drama

0

0.05

0.1

0.15

0.2

0.25

0.3

0.35

0.4

0.45

0.5

Writing Story Understanding

Writing Oral Story Understanding

Reading Readiness

Reading Achievement

Oral Language Vocabulary

A clear causal link

Empathy / Perspective taking

Sample Item from “Reading the Mind in the Eyes” Test

Apologetic? Friendly? Uneasy? Dispirited?

Confus? Amical? Gêné? Démoralisé?

Some causal findings

• Music : IQ, academic performance, word decoding, phonological skills (and possibly foreign language learning and visual-spatial reasoning)

• Theatre: verbal skills, empathy, perspective taking, emotional regulation

• Visual arts: geometrical reasoning, (scientific) observation

Arts education for innovation

Innovation

Skills

Education and

training

• Most studies find a positive link between arts education and creativity, but the evidence cannot be generalises

• Ethnographic evidence shows that visual arts education (at its best) promotes reflection and metacognition

• Could other fields be inspired by arts education, e.g. project work while teachers gives personal consultation or regular mid-project critiques?

assessing skills for innovation

Assessment and high stakes

• Assessment raises awareness of the desired learning outcomes (skills)

• Assessment allows one to diagnose problems, monitor progress, and improve teaching and learning

BUT

• High stake assessments can lead to narrowing of the curriculum and to teach/learn to tests that, by nature, cannot assess everything and are imperfect

Beyond the assessment of technical

skills?

• Change high stake assessments to make them less predictable: use a variety of them, randomly?

• Develop (or use) assessments for other skills

– Use panels of human assessors: costly, but allows to assess complex skills

– Make goals explicit and try to develop language and criteria to monitor their progression

• Turn assessment into a meaningful learning activity

conclusions and open questions

Conclusions

Innovation

Skills

Education and

training

• Need to develop simultaneously several sets of skills

• Curricula should not be too narrow – but pedagogy seems to matter more than what is taught

• Some pedagogies are better than others to develop all skill sets

• We need more balanced assessments if we want to take all skills seriously

Open questions

Innovation

Skills

Education and

training

• What is the relevance of these questions to different Asian countries?

• How are the different sets of skills for innovation fostered in Asia – through which curricula, pedagogies and assessments?

• Is the agenda taken seriously only because (when) technical skills are well acquired?

How do we foster an innovation

ecosystem in education?

Innovation in

education

Technology

School organisation

System organisation

Research and Development