17
OECD EMPLOYER BRAND Playbook 1 Better skills, better jobs, better lives Andreas Schleicher 5 February 2014

PISA and Skills Outlook - Parliamentary Days 2014

Embed Size (px)

Citation preview

OECD EMPLOYER

BRAND

Playbook

1

Better skills, better jobs,

better lives

Andreas Schleicher

5 February 2014

100 80 60 40 20 0 20 40 60 80 100

Poland

Ireland

Slovak Republic

Estonia

Korea

United States

Austria

Czech Republic

Average

Flanders (Belgium)

Japan

England/N. Ireland (UK)

Germany

Canada

Australia

Denmark

Norway

Netherlands

Finland

Sweden

Basic digital problem-solving skills

Advanced digital problem-solving skills

Young adults (16-24 year-olds) All adults (16-65 year-olds)

Problem solving skills in a digital environment

%

2

Evolution of employment in occupational groups defined by problem-solving skills

3

-20

-15

-10

-5

0

5

10

15

20

25

Medium-low

level of problem-solving

Low level of problem-solving

Medium-high

level of problem-solving

%

4 PISA in brief

• Over half a million students…– representing 28 million 15-year-olds in 65 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

– Mathematics, reading, science, problem-solving, financial literacy

– Total of 390 minutes of assessment material

… 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 .

Singapore

Hong Kong-ChinaChinese Taipei

Korea

Macao-ChinaJapan LiechtensteinSwitzerland

NetherlandsEstonia FinlandCanada

PolandBelgiumGermany Viet Nam

Austria AustraliaIrelandSlovenia

DenmarkNew ZealandCzech Republic France

United KingdomIceland

LatviaLuxembourg NorwayPortugal ItalySpain

Russian Fed.Slovak Republic United StatesLithuaniaSwedenHungary

CroatiaIsrael

GreeceSerbiaTurkey

Romania

BulgariaU.A.E.KazakhstanThailand

ChileMalaysia

Mexico410

420

430

440

450

460

470

480

490

500

510

520

530

540

550

560

570

580

Mean score

High mathematics performance

Low mathematics performance

… Shanghai-China performs above this line (613)

… 12 countries perform below this line

Average performance

of 15-year-olds in

MathematicsFig I.2.13

Massachusetts

Connecticut

Florida

Socially equitable

distribution of learning

opportunities

High mathematics performance

Low mathematics performance

Average performance

of 15-year-olds in

mathematics

Strong socio-economic

impact on student

performance

Singapore

Hong Kong-ChinaChinese Taipei

Korea

Macao-ChinaJapan LiechtensteinSwitzerland

NetherlandsEstonia FinlandCanada

PolandBelgiumGermany Viet Nam

Austria AustraliaIrelandSlovenia

DenmarkNew ZealandCzech Republic France

United KingdomIceland

LatviaLuxembourg NorwayPortugal ItalySpain

Russian Fed.Slovak Republic United StatesLithuaniaSwedenHungary

CroatiaIsrael

GreeceSerbiaTurkey

Romania

BulgariaU.A.E.KazakhstanThailand

ChileMalaysia

Mexico

AustraliaAustria

Belgium Canada

Chile

Czech Rep.

Denmark

Estonia

Finland

France

Germany

Greece

Hungary

IcelandIreland

Israel

Italy

Japan

Korea

Luxembourg

Mexico

Netherlands

New Zealand

Norway

Poland

Portugal

Slovak Rep.

Slovenia

Spain Sweden

Switzerland

Turkey

UK

US

Singapore

Hong Kong-ChinaChinese Taipei

Macao-China

Liechtenstein

Viet Nam

Latvia

Russian Fed.Lithuania

Croatia

SerbiaRomania

Bulgaria United Arab Emirates

Kazakhstan

Thailand

Malaysia

02468101214161820222426

2012Shanghai-China

Socially equitable

distribution of learning

opportunities

Strong socio-economic

impact on student

performance

AustraliaAustria

BelgiumCanada

Chile

Czech Rep.

Denmark

Estonia

Finland

France

Germany

Greece

Hungary

IcelandIreland

Israel

Italy

Japan

Korea

Luxembourg

Mexico

Netherlands

New Zealand

Norway

Poland

Portugal

Slovak Rep.

Slovenia

Spain Sweden

Switzerland

Turkey

UK

US

Singapore

Hong Kong-ChinaChinese Taipei

Macao-China

Liechtenstein

Viet Nam

Latvia

Russian Fed.Lithuania

Croatia

SerbiaRomania

BulgariaUnited Arab Emirates

Kazakhstan

Thailand

Malaysia

024681012141618202224

AustraliaAustria

Belgium Canada

Chile

Czech Rep.

Denmark

Estonia

Finland

France

Germany

Greece

Hungary

IcelandIreland

Israel

Italy

Japan

Korea

Luxembourg

Mexico

Netherlands

New Zealand

Norway

Poland

Portugal

Slovak Rep.

Slovenia

Spain Sweden

Switzerland

Turkey

UK

US

Australia

Austria

Belgium

Canada

Chile

Czech Rep.

Denmark

Estonia

Finland

France

Germany

Greece

Hungary

Iceland

Ireland

Israel

Italy

Japan

Korea

Luxembourg

Mexico

Netherlands

New Zealand

Norway

Poland

Portugal

Slovak Rep.

Slovenia

Spain

Sweden

Switzerland

Turkey

UK

US

2012

Socially equitable

distribution of learning

opportunities

Strong socio-economic

impact on student

performance

AustraliaAustria

Belgium Canada

Chile

Czech Rep.

Denmark

Estonia

Finland

France

Germany

Greece

Hungary

IcelandIreland

Israel

Italy

Japan

Korea

Luxembourg

Mexico

Netherlands

New Zealand

Norway

Poland

Portugal

Slovak Rep.

Slovenia

Spain Sweden

Switzerland

Turkey

UK

US

Australia

Austria

Belgium

Canada

Chile

Czech Rep.

Denmark

Estonia

Finland

France

Germany

Greece

Hungary

Iceland

Ireland

Israel

Italy

Japan

Korea

Luxembourg

Mexico

Netherlands

New Zealand

Norway

Poland

Portugal

Slovak Rep.

Slovenia

Spain

Sweden

Switzerland

Turkey

UK

US

-10

-5

0

5

10

15

Port

ugal

Spa

in

Sw

itze

rlan

d

Belg

ium

Kor

ea

Lux

em

bou

rg

Germ

any

Gre

ece

Jap

an

Aus

tral

ia

Uni

ted K

ingd

om

New

Zeal

and

Fra

nce

Neth

erl

ands

Den

mar

k

Ital

y

Aus

tria

Cze

ch R

epu

blic

Hun

gary

Nor

way

Icela

nd

Irela

nd

Mexic

o

Fin

land

Sw

eden

Uni

ted S

tate

s

Pola

nd

Slo

vak

Repu

blic

Salary as % of GDP/capita Instruction time 1/teaching time 1/class size

Contribution of various factors to upper secondary teacher

compensation costs, per student as a percentage of GDP per capita (2004)

Percentage points

Difference with OECD average

AustraliaAustria

Belgium Canada

Chile

Czech Rep.

Denmark

Estonia

Finland

France

Germany

Greece

Hungary

IcelandIreland

Israel

Italy

Japan

Korea

Luxembourg

Mexico

Netherlands

New Zealand

Norway

Poland

Portugal

Slovak Rep.

Slovenia

Spain Sweden

Switzerland

Turkey

UK

US

Australia

Austria

Belgium

Canada

Chile

Czech Rep.

Denmark

Estonia

Finland

France

Germany

Greece

Hungary

Iceland

Ireland

Israel

Italy

Japan

Korea

Luxembourg

Mexico

Netherlands

New Zealand

Norway

Poland

Portugal

Slovak Rep.

Slovenia

Spain

Sweden

Switzerland

Turkey

UK

US

AustraliaAustria

Belgium Canada

Chile

Czech Rep.

Denmark

Estonia

Finland

France

Germany

Greece

Hungary

IcelandIreland

Israel

Italy

Japan

Korea

Luxembourg

Mexico

Netherlands

New Zealand

Norway

Poland

Portugal

Slovak Rep.

Slovenia

Spain Sweden

Switzerland

Turkey

UK

US

Australia

Austria

Belgium

Canada

Chile

Czech Rep.

Denmark

Estonia

Finland

France

Germany

Greece

Hungary

Iceland

Ireland

Israel

Italy

Japan

Korea

Luxembourg

Mexico

Netherlands

New Zealand

Norway

Poland

Portugal

Slovak Rep.

Slovenia

Spain

Sweden

Switzerland

Turkey

UK

US

Singapore

Shanghai

Singapore

2003 - 2012

The American dream of social mobility

In some countries it is close to a reality

13

0

10

20

30

40

50

60

70

80

Sh

an

gh

ai-

Chin

aH

on

g K

on

g-C

hin

aM

aca

o-C

hin

aV

iet N

am

Sin

ga

po

reK

ore

aC

hin

ese

Ta

ipe

iJa

pa

nL

iech

ten

ste

inS

witze

rla

nd

Esto

nia

Neth

erl

an

ds

Po

lan

dC

an

ad

aF

inla

nd

Be

lgiu

mP

ort

ug

al

Ge

rma

ny

Tu

rke

yO

EC

D a

ve

rag

eIt

aly

Sp

ain

La

tvia

Ire

lan

dA

ustr

alia

Th

aila

nd

Au

str

iaL

uxe

mb

ou

rgC

ze

ch

Rep

ub

licS

love

nia

Unite

d K

ing

do

mL

ith

ua

nia

Fra

nce

Norw

ay

Ice

lan

dN

ew

Ze

ala

nd

Ru

ssia

n F

ed

.U

nite

d S

tate

sC

roa

tia

Den

ma

rkS

we

de

nH

un

ga

ryS

lova

k R

ep

ub

licM

exic

oS

erb

iaG

ree

ce

Isra

el

Tu

nis

iaR

om

an

iaM

ala

ysia

Ind

on

esia

Bu

lga

ria

Ka

za

kh

sta

nU

rug

ua

yB

razil

Costa

Ric

aC

hile

Colo

mb

iaM

on

ten

eg

roU

.A.E

.A

rge

ntin

aJo

rda

nP

eru

Qa

tar

%

Percentage of resilient students

More than 40

% resilient Between 20%-40% of resilient students Less than 20%

Fig II.2.414

Socio-economically disadvantaged students not

only score lower in mathematics, they also report

lower levels of engagement, drive, motivation and

self-beliefs. Resilient students break this link and

share many characteristics of advantaged high-achievers.

1515L

essons f

rom

hig

h p

erf

orm

ers

Catching up with the top-performers

Low impact on outcomes

High impact on outcomes

Low feasibility High feasibility

Money pits

Must haves

Low hanging fruits

Quick wins

1616L

essons f

rom

hig

h p

erf

orm

ers

Low impact on outcomes

High impact on outcomes

Low feasibility High feasibility

Money pits

Must haves

Low hanging fruits

Quick wins

Commitment to universal achievement

Gateways, instructional systems

Capacity at point of delivery

Incentive structures and accountability

Resources where they yield most

A learning systemCoherence

Thank you !

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

• All national and international publications

• The complete micro-level database

Email: [email protected]

Twitter: SchleicherEDU

and remember:

Without data, you are just another person with an opinion