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1 1 PISA OECD Programme for International Student Assessment What students know and can do Andreas Schleicher 7 December 2010 PISA 2009 Evaluating systems to improve education Andreas Schleicher Special advisor to the Secretary-General on Education Policy Head of the Indicators and Analysis Division, EDU Programme for International Student Assessment The yardstick for success is no longer improvement by national standards alone but the best performing education systems

Andreas Schleicher PISA 2010 results

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This presentation from the release of the 2009 PISA results was given by Andreas Schleicher on December 7, 2010, the day the results were announced.

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Page 1: Andreas Schleicher PISA 2010 results

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10 PISA 2009

Evaluating systems to improve education

Andreas SchleicherSpecial advisor to the Secretary-General on Education Policy

Head of the Indicators and Analysis Division, EDU

Programme for International Student Assessment

The yardstick for success is no longer improvement by national standards alone but the best performing

education systems

Page 2: Andreas Schleicher PISA 2010 results

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1998PISA countries in

2000200120032006200977%81%83%85%86%

Coverage of world economy 87%

PISA 2009 in brief

Over half a million students… representing 28 million 15-year-olds in 74*

countries/economies

… took an internationally agreed 2-hour test… Goes beyond testing whether students can

reproduce what they were taught……to assess students’ capacity to extrapolate from what

they know and creatively apply their knowledge in novel situations

…and responded to questions on… their personal background, their schools

and their engagement with learning and school Parents, principals and system leaders provided data

on… school policies, practices, resources and institutional

factors that help explain performance differences .

* Data for Costa Rica, Georgia, India, Malaysia, Malta, Mauritius, Venezuela and Vietnam will be published in December 2011

Page 3: Andreas Schleicher PISA 2010 results

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1998PISA countries in

2000200120032006200977%81%83%85%86%

Coverage of world economy 87%

PISA 2009 in brief PISA seeks to…

… Support governments to prepare students…

… to deal with more rapid change than ever before…

… for jobs that have not yet been created…… using technologies that have not yet been

invented…… to solve problems that we don’t yet know will

arise

… Provide a basis for policy dialogue and global collaboration in defining and implementing educational goals, policies and practices– Show countries what achievements are possible– Help governments set policy targets in terms of

measurable goals achieved elsewhere– Gauge the pace of educational progress – Facilitate peer-learning on policy and practice .

Page 4: Andreas Schleicher PISA 2010 results

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1998PISA countries in

2000200120032006200977%81%83%85%86%

Coverage of world economy 87%

PISA 2009 in brief Key principles

‘Crowd sourcing’ and collaboration– PISA draws together leading expertise and institutions from

participating countries to develop instruments and methodologies…

… guided by governments on the basis of shared policy interests

Cross-national relevance and transferability of policy experiences

– Emphasis on validity across cultures, languages and systems– Frameworks built on well-structured conceptual

understandingof assessment areas and contextual factors

Triangulation across different stakeholder perspectives– Systematic integration of insights from students, parents,

school principals and system-leaders Advanced methods with different grain sizes

– A range of methods to adequately measure intended constructs with different grain sizes to serve different decision-making needs

– Productive feedback, at appropriate levels of detail, to fuel improvement at multiple levels .

Page 5: Andreas Schleicher PISA 2010 results

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What 15-year-olds can do

Page 6: Andreas Schleicher PISA 2010 results

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Average performanceof 15-year-olds in reading – extrapolate and apply

High reading performance

Low reading performance … 17 countries perform below this line

1525354555440.000

460.000

480.000

500.000

520.000

540.000

560.000

Shanghai-China

KoreaFinlandHong Kong-China

Singapore CanadaNew Zealand

JapanAustralia

NetherlandsBelgiumNorway, EstoniaSwitzerlandPoland,IcelandUnited States LiechtensteinSwedenGermany,

IrelandFrance, Chinese TaipeiDenmarkUnited KingdomHungary,Portugal

Macao-China ItalyLatvia

Slovenia GreeceSpain

Czech RepublicSlovak Republic, CroatiaIsraelLuxembourg,

Austria LithuaniaTurkey

Dubai (UAE) Russian Federation

Chile

Serbia

Northeast

Midwest

WestSouth

Urban schools

Suburban schools

Performance distribution in US

18% do not reach baseline Level 2 (16% when excluding immigrants) (Finland 6%, Canada 9%)

Economic cost: 72 trillion $

10% are top performers (Shanghai 20%)

Page 7: Andreas Schleicher PISA 2010 results

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Average performanceof 15-year-olds in science – extrapolate and apply

Low average performance

Large socio-economic disparities

High average performance

Large socio-economic disparities

Low average performance

High social equity

High average performance

High social equity

Strong socio-economic impact on

student performance

Socially equitable distribution of

learning opportunities

High reading performance

Low reading performance

Page 8: Andreas Schleicher PISA 2010 results

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Durchschnittliche Schülerleistungen im Bereich Mathematik

Low average performance

Large socio-economic disparities

High average performance

Large socio-economic disparities

Low average performance

High social equity

High average performance

High social equity

Strong socio-economic impact on

student performance

Socially equitable distribution of

learning opportunities

High reading performance

Low reading performance

AustraliaBelgiumCanadaChileCzech RepDenmarkFinlandGermanyGreeceHungaryIcelandIrelandIsraelItalyJapanKoreaLuxembourgMexicoNetherlandsNew ZealandNorwayPolandPortugalSpainSwedenSwitzerlandUKUS

2009

1525354555

2009

Page 9: Andreas Schleicher PISA 2010 results

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Durchschnittliche Schülerleistungen im Bereich Mathematik

Low average performance

Large socio-economic disparities

High average performance

Large socio-economic disparities

Low average performance

High social equity

High average performance

High social equity

Strong socio-economic impact on

student performance

Socially equitable distribution of

learning opportunities

High reading performance

Low reading performance

2009

Page 10: Andreas Schleicher PISA 2010 results

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Durchschnittliche Schülerleistungen im Bereich Mathematik

Low average performance

Large socio-economic disparities

High average performance

Large socio-economic disparities

Low average performance

High social equity

High average performance

High social equity

Strong socio-economic impact on

student performance

Socially equitable distribution of

learning opportunities

High reading performance

Low reading performance

2000

Page 11: Andreas Schleicher PISA 2010 results

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Durchschnittliche Schülerleistungen im Bereich Mathematik

Low average performance

Large socio-economic disparities

High average performance

Large socio-economic disparities

Low average performance

High social equity

High average performance

High social equity

Strong socio-economic impact on

student performance

Socially equitable distribution of

learning opportunities

High reading performance

Low reading performance

2000

Other rapid improvers in reading:Peru, Indonesia, Latvia, Israel and Brazil

Rapid improvers in mathematics:Mexico, Brazil, Turkey, Greece, Portugal, Italy

and GermanyRapid improvers in science:

Qatar, Turkey, Portugal, Korea, Brazil, Colombia, Italy, Norway, United States, Poland

Page 12: Andreas Schleicher PISA 2010 results

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Quality differences between schools

Page 13: Andreas Schleicher PISA 2010 results

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ArgentinaIta

ly

TurkeyIsr

ael

Germany

Hungary

Austria

Luxe

mbourgJapan

Uruguay

Brazil

Slovenia

Croatia

United States

Singapore

Kyrgyzstan

Montenegro

Albania

Slovak Republic

Kazakhsta

n

Ireland

Chinese Taipei

Switzerla

nd

New Zealand

Shanghai-China

Russian Federation

Sweden

Indonesia

PolandLa

tvia

Thailand

Norway

100

80

60

40

20

0

20

40

60

80

100

Variability in student performance between and within schools

Var

ianc

e

Performance variation of students within schools

Performance differences between schools

Page 14: Andreas Schleicher PISA 2010 results

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How do social background and learning outcomes interact?

Page 15: Andreas Schleicher PISA 2010 results

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-2 -1 0 1 2350

643

School performance and socio-economic background United States

Stu

dent

perf

orm

ance

AdvantagePISA Index of socio-economic background

Disadvantage

School performance and schools’ socio-economic background

Student performance and students’ socio-economic background within schools

Private school Public school in rural area Public school in urban area

700

Page 16: Andreas Schleicher PISA 2010 results

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0

10

20

30

40

50

60

70

80

Percentage of resilient students among disadvantaged students%

More than 30% resilient students

among disadvantaged students

Between 15%-30% of resilient students among

disadvantaged students

Less than 15% resilient students among disadvantaged

students

Resilient student: Comes from the bottom quarter of the socially most disadvantaged

students but performs among the top quarter of students internationally (after

accounting for social background)

Page 17: Andreas Schleicher PISA 2010 results

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Does it all matter?

Page 18: Andreas Schleicher PISA 2010 results

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Age 19

Age 21

Age 21

048121620

Level 2Level 3

Level 4Level 5

Increased likelihood of postsec. particip. at age 19/21 associated with PISA reading proficiency at age 15

(Canada)after accounting for school engagement, gender, mother

tongue, place of residence, parental, education and family income (reference group PISA Level 1)

Odds ratiohigher education entry

School marks at age 15

PISA performance at age

15

Page 19: Andreas Schleicher PISA 2010 results

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Policies and practicesLearning climateDisciplineTeacher behaviourParental pressureTeacher-student relationshipsDealing with heterogeneityGrade repetitionPrevalence of trackingExpulsionsAbility grouping

(all subjects)Standards /accountabilityNat. examinationStandardised tests

Policy

System

R

School

R

Equity

E

Page 20: Andreas Schleicher PISA 2010 results

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What does it all mean?

Page 21: Andreas Schleicher PISA 2010 results

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Commitment to universal achievement

Goals, gateways, instructional

systems

Capacity at point of delivery

Incentives and accountability

Resources where they yield most

A learning system

Coherence

Lessons from PISA on successful

education systems

A commitment to education and the belief that competencies can be learned and therefore all children can achieve

Universal educational standards and personalisation as the approach to heterogeneity in the student body…

…as opposed to a belief that students have different destinations to be met with different expectations, and selection/stratification as the approach to heterogeneity

Clear articulation who is responsible for ensuring student success and to whom

Page 22: Andreas Schleicher PISA 2010 results

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Durchschnittliche Schülerleistungen im Bereich Mathematik

Low average performance

Large socio-economic disparities

High average performance

Large socio-economic disparities

Low average performance

High social equity

High average performance

High social equity

Strong socio-economic impact on

student performance

Socially equitable distribution of

learning opportunities

High reading performance

Low reading performance

2009

Early selection and institutional differentiation

High degree of stratification

Low degree of stratification

Page 23: Andreas Schleicher PISA 2010 results

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Commitment to universal achievement

Goals, gateways, instructional

systems

Capacity at point of delivery

Incentives and accountability

Resources where they yield most

A learning system

Coherence

Lessons from PISA on successful

education systems

Clear ambitious goals that are shared across the system and aligned with high stakes gateways and instructional systems

Well established delivery chain through which curricular goals translate into instructional systems, instructional practices and student learning (intended, implemented and achieved)

High level of metacognitive content of instruction

Page 24: Andreas Schleicher PISA 2010 results

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Commitment to universal achievement

Goals, gateways, instructional

systems

Capacity at point of delivery

Incentives and accountability

Resources where they yield most

A learning system

Coherence

Lessons from PISA on successful

education systems

Capacity at the point of delivery Attracting, developing and retaining high

quality teachers and school leaders and a work organisation in which they can use their potential

Instructional leadership and human resource management in schools

Keeping teaching an attractive profession System-wide career development

Page 25: Andreas Schleicher PISA 2010 results

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Lessons from PISA on successful

education systems

Commitment to universal achievement

Goals, gateways, instructional

systems

Capacity at point of delivery

Incentives and accountability

Resources where they yield most

A learning system

Coherence

Incentives, accountability, knowledge management

Aligned incentive structuresFor students How gateways affect the strength, direction, clarity and nature

of the incentives operating on students at each stage of their education

Degree to which students have incentives to take tough courses and study hard

Opportunity costs for staying in school and performing well

For teachers Make innovations in pedagogy and/or organisation Improve their own performance

and the performance of their colleagues Pursue professional development opportunities

that lead to stronger pedagogical practices A balance between vertical and lateral accountability Effective instruments to manage and share knowledge

and spread innovation – communication within the system and with stakeholders around it

A capable centre with authority and legitimacy to act

Page 26: Andreas Schleicher PISA 2010 results

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Systems with more accountability Systems with less

accountability

480

490

500

Schools with less autonomy

Schools with more autonomy

495

School autonomy in re-source allocation

System’s accountability arrangements

PISA score in reading

School autonomy, accountability and student performance

Impact of school autonomy on performance in systems with and without accountability arrangements

Page 27: Andreas Schleicher PISA 2010 results

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Local responsibility and system-level prescription

System-level prescription‘Tayloristic’ work organisation

Schools leading reformTeachers as ‘knowledge workers’

Schools todayThe industrial

model, detailed prescription of

what schools do

Schools tomorrow?

Building capacity

Finland todayEvery school an effective school

Trend in OECD countries

Page 28: Andreas Schleicher PISA 2010 results

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Public and private schools

AustraliaAustriaCanada

ChileCzech Republic

DenmarkEstoniaFinland

GermanyGreece

HungaryIcelandIreland

IsraelItaly

JapanKorea

LuxembourgMexico

NetherlandsNew Zealand

NorwayPoland

PortugalSlovak Republic

SloveniaSpain

SwedenSwitzerland

TurkeyUnited Kingdom

United StatesArgentina

BrazilHong Kong-China

IndonesiaJordan

Russian FederationShanghai-China

SingaporeChinese Taipei

0 20 40 60 80 100

Government schools

Government dependent private

Government independent private

-150 -100 -50 0 50 100

Difference after accounting for socio-economic background of students and schools

Observed performance difference

Private schools perform better

Public schools perform better

%

Score point difference

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Commitment to universal achievement

Goals, gateways, instructional

systems

Capacity at point of delivery

Incentives and accountability

Resources where they yield most

A learning system

Coherence

Lessons from PISA on successful

education systems Investing resources where they can make

most of a difference Alignment of resources with key challenges

(e.g. attracting the most talented teachers to the most challenging classrooms)

Effective spending choices that prioritise high quality teachers over smaller classes

Page 30: Andreas Schleicher PISA 2010 results

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Commitment to universal achievement

Goals, gateways, instructional

systems

Capacity at point of delivery

Incentives and accountability

Resources where they yield most

A learning system

Coherence

Lessons from PISA on successful

education systems

A learning system An outward orientation of the system to

keep the system learning, international benchmarks as the ‘eyes’ and ‘ears’ of the system

Recognising challenges and potential future threats to current success, learning from them, designing responses and implementing these

Page 31: Andreas Schleicher PISA 2010 results

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Commitment to universal achievement

Goals, gateways, instructional

systems

Capacity at point of delivery

Incentives and accountability

Resources where they yield most

A learning system

Coherence

Lessons from PISA on successful

education systems

Coherence of policies and practices Alignment of policies

across all aspects of the system Coherence of policies

over sustained periods of time Consistency of implementation Fidelity of implementation

(without excessive control)

Page 32: Andreas Schleicher PISA 2010 results

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Beyond schooling

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ISA

OE

CD

Pro

gram

me

for

Inte

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iona

l Stu

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Ass

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Lit

hu

an

ia

Ge

rma

ny

De

nm

ark

Cro

ati

a

Ho

ng

Ko

ng

-Ch

ina

Ko

rea

Ma

ca

o-C

hin

a

Po

rtu

ga

l

Hu

ng

ary

Ne

w Z

ea

lan

d

Ch

ile

Ita

ly

Pa

na

ma

Qa

tar-10

0

10

20

30

40

50

60

Sco

re p

oin

t d

iffe

ren

ceParental support at the beginning

of primary school Score point difference between students whose parents often

do (weekly or daily) and those who do not:

"talk about what they had done"

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Performance difference between students who had attended pre-primary school for more than one year and those who did

not

Sco

re p

oin

t d

iffe

ren

ce

Isra

el

Belgiu

m

Mac

ao-C

hina

France

Switzer

land

United K

ingdom

Dubai (U

AE)

Kyrgyz

stan

Argen

tina

Germ

any

New Z

eala

nd

Slova

k Rep

ublic

Brazil

Luxem

bourg

Thaila

nd

Canad

a

Chines

e Tai

pei

Poland

Kazak

hstan

Roman

ia

Japan

Peru

Jord

an

Norway

Azerb

aija

n

Colom

biaChile

Lithuan

ia

Serbia

Nether

lands

Slove

nia

Finla

nd

Latvi

a0

20

40

60

80

100

120

Beyond schooling

Observed performance advantage

Performance advantage after accounting for socio-economic

factors

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Some students learn at high levels

All students need to learn at high levels

Student inclusion

Routine cognitive skills, rote learning

Learning to learn, complex ways of

thinking, ways of workingCurriculum, instruction and assessment

Few years more than secondary

High-level professional knowledge workers

Teacher quality

‘Tayloristic’, hierarchical

Flat, collegial

Work organisation

Primarily to authorities

Primarily to peers and stakeholders

Accountability

Education reform trajectories

The old bureaucratic system The modern enabling system

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Thank you !

Find out more about PISA at… OECD www.pisa.oecd.org

– All national and international publications– The complete micro-level database

U.S. White House www.data.gov

Email: [email protected]

…and remember:

Without data, you are just another person with an opinion

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Five volumes released on 7 December Volume I, What Students Know and can Do:

Student Performance in Reading, Mathematics and Science

Volume II, Overcoming Social Background: Equity in Learning Opportunities and Outcomes

Volume III, Learning to Learn: Student Engagement, Strategies and Practices

Volume IV, What Makes a School Successful? Resources, Policies and Practices

Volume V, Learning Trends: Changes in student Performance since 2000

One volume to be released in June 2011 Volume VI, Students On Line: Reading and Using

Digital Information

PISA 2009 results