pisa oecd programme for international student assessment strong performers and successful reformers...

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2 Strong Performers and Successful Reformers in

Education

Francesca BorgonoviEarly Childhood and Schools Division, EDU

OECD

Programme for International Student Assessment

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2Foundation skills for the future

Rapid pace of change in most work environments requires strong foundation skills even in relatively routine manual occupations

Strong foundation skills are needed to make the most of computerisation and digitisation

Literacy to understand descriptions of new procedures for rapidly changing tasks

Numeracy to be able to understand the basic mathematics that permeates models used by computers

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2Advanced skills for the future

Expert thinking and ability to solve problems with no rules-based solutions

Complex communication and the ability of interacting with humans to acquire information, explain it and lead others to action.

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2Skill use by occupational groups

Source: PIAAC Field trial

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2Skill mismatch by occupational

groups

Source: PIAAC Field trial

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2How the demand for skills has changed

Economy-wide measures of routine and non-routine task input (US)

(Levy and Murnane)

Mean t

ask

inp

ut

as

perc

enti

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of

th

e 1

960 t

ask

dis

trib

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on

The dilemma of schools:The skills that are easiest to teach and test are also the ones that are easiest to digitise, automate and outsource

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2Implications for education systems

Technology can change the nature of work faster than people can change their skills

Education systems need to proactively and continuously re-think about how to develop the advanced skills that will be needed in the unpredictable labour markets and societies of the future

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2

A world of change in the global talent pool

Approximated by percentage of persons with high school or equivalent qualfications in the age groups 55-64, 45-55, 45-44 und 25-34 years

%

1. Excluding ISCED 3C short programmes 2. Year of reference 20043. Including some ISCED 3C short programmes 3. Year of reference 2003.

13

1

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27

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2

1998PISA countries in

2000200120032006200977%81%83%85%86%

Coverage of world economy 87%

PISA in brief Methods…

Target population 15-year-old students Random samples

– PISA 2009: over half a million students…

….representing 28 million 15-year-olds in 74 countries/economies

2 hour paper and pencil test in reading, mathematics and science

Item types- constructed response and multiple choice; real life tasks

Student background questionnaire– their personal background, their schools

and their engagement with learning and school School and system background questionnaires

– school policies, practices, resources and institutional factors that help explain performance differences .

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2PISA... a (relatively) long story

PISA in 2000, 2003, 2006 and 2009 PISA 2012 – In the field PISA 2015 – Work in Progress

Focus on students’ capacity to extrapolate from what they know and creatively apply their knowledge in novel situations

Less emphasis on whether they can reproduce what they were taught

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2Strong Performers and Successful

Reformers in Education

Quality of Learning outcomes

Equity of learning opportunities

Factors that make a difference

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2Quality of Learning Outcomes

High performance

Increasing performance over time

The learning outcomes of poor performing and top performing students

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2Quality of Learning Outcomes

High performance

Increasing performance over time

The learning outcomes of poor performing and top performing students

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2Average performanceof 15-year-olds in reading

High reading performance

Low reading performance … 17 countries perform below this line

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2Performance in reading (2009)

495

539

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2Quality of Learning Outcomes

High performance

Increasing performance over time

The learning outcomes of poor performing and top performing students

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2Change in reading performance between 2000 and

2009

Reading performance

improved

Reading performance

declined

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2Quality of Learning Outcomes

High performance

Increasing performance over time

The learning outcomes of poor performing and top performing students

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Percentage of students below proficiency Level 2 in reading between 2000 and 2009

2000

2009

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2

Percentage of top performers in reading between 2000 and 2009

2000

2009

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2Equity of learning opportunities

Are students held back because of their socio-economic condition?

The role of schools: between and within school differences in performance

The performance of students with an immigrant background

Gender gap

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2Equity of learning opportunities

Are students held back because of their socio-economic condition?

The role of schools: between and within school differences in performance

The performance of students with an immigrant background

Gender gap

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Measures of the relationship between socio-economic background and reading

performance

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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)

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2Equity of learning opportunities

Are students held back because of their socio-economic condition?

The role of schools: between and within school differences in performance

The performance of students with an immigrant background

Gender gap

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2

School performance and socio-economic background

DenmarkStu

dent

perf

orm

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AdvantagePISA Index of socio-economic background

Disadvantage

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

700

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2

School performance and socio-economic background

FinlandStu

dent

perf

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AdvantagePISA Index of socio-economic background

Disadvantage

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

700

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School performance and socio-economic background

GermanyStu

dent

perf

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AdvantagePISA Index of socio-economic background

Disadvantage

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

700

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2Variability in student performance

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2Variability in student performance

between and within schools

Performance variation of students in schools

Performance differences between schools

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2Equity of learning opportunities

Are students held back because of their socio-economic condition?

The role of schools: between and within school differences in performance

The performance of students with an immigrant background

Gender gap

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2

Immigrants and reading performance

Native studentsSecond-generation

students

First-generation students

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2Equity of learning opportunities

Are students held back because of their socio-economic condition?

The role of schools: between and within school differences in performance

The performance of students with an immigrant background

Gender gap

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2Gender Gap in Reading

(PISA 2009, girls - boys)

Girls perform better

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2Gender Gap in Mathematics

(PISA 2009, girls - boys)

Boys perform better

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Factors that make a difference

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2What factors make a difference?

For the individual student Reading for enjoyment

– Very strongly related to performance in all countries– 37% of students in OECD countries on average do not

read for enjoyment Diversity of reading materials

– Better readers tend to read a diversity of materials Knowledge of strategies

– High-performing countries are generally those whose students know how to summarise information well

And for system and school policies……

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2Durchschnittliche 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

39393939P

ISA

OE

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2

40404040P

ISA

OE

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2

What does it all mean?

41414141P

ISA

OE

CD

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vi9

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2

Some lessons Some lessons from successful from successful

systemssystems

49494949P

ISA

OE

CD

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2

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

PISA In Focuswww.oecd.org/pisa/infocus

Email: Francesca.Borgonovi@oecd.org

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