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Preparing students for the
4th Industrial Revolution
Implications for science education
Andreas Schleicher
Director for Education and Skills
PISA 2015
OECD
Partners
“the ability to engage with science-
related issues, and with the ideas of
science, as a reflective citizen”
Science in PISA
Trends in science performance (PISA)
2006 2009 2012 2015
OECD
450
470
490
510
530
550
570
OECD average
Studentperformance
Trends in science performance (PISA)
450
470
490
510
530
550
570
2006 2009 2012 2015
OECD average
Poverty is not destiny - Science performance
by international deciles of the PISA index of economic, social and cultural status (ESCS)
280
330
380
430
480
530
580
630
DominicanRepublic40
Algeria52
Kosovo10
Qatar3
FYROM13
Tunisia39
Montenegro11
Jordan21
UnitedArabEmirates3
Georgia19
Lebanon27
Indonesia74
Mexico53
Peru50
CostaRica38
Brazil43
Turkey59
Moldova28
Thailand55
Colombia43
Iceland1
TrinidadandTobago14
Romania20
Israel6
Bulgaria13
Greece13
Russia5
Uruguay39
Chile27
Latvia25
Lithuania12
SlovakRepublic8
Italy15
Norway1
Spain31
Hungary16
Croatia10
Denmark3
OECDaverage12
Sweden3
Malta13
UnitedStates11
Macao(China)22
Ireland5
Austria5
Portugal28
Luxembourg14
HongKong(China)26
CzechRepublic9
Poland16
Australia4
UnitedKingdom5
Canada2
France9
Korea6
NewZealand5
Switzerland8
Netherlands4
Slovenia5
Belgium7
Finland2
Estonia5
VietNam76
Germany7
Japan8
ChineseTaipei12
B-S-J-G(China)52
Singapore11
Scorepoints
Bottom decile Second decile Middle decile Ninth decile Top decile
Figure I.6.7
% of students
in the bottom
international
deciles of
ESCS
OECD median student
Students expecting a career in science
Figure I.3.2
0
5
10
15
20
25
30
35
40
45
50
DominicanRep.12
CostaRica11
Jordan6
UnitedArabEm.11
Mexico6
Colombia8
Lebanon15
Brazil19
Peru7
Qatar19
UnitedStates13
Chile18
Tunisia19
Canada21
Slovenia16
Turkey6
Australia15
UnitedKingdom17
Malaysia4
Kazakhstan14
Spain11
Norway21
Uruguay17
Singapore14
TrinidadandT.13
Israel25
CABA(Arg.)19
Portugal18
Bulgaria25
Ireland13
Kosovo7
Algeria12
Malta11
Greece12
NewZealand24
Albania29
Estonia15
OECDaverage19
Belgium16
Croatia17
FYROM20
Lithuania21
Iceland22
Russia19
HKG(China)20
Romania20
Italy17
Austria23
Moldova7
Latvia19
Montenegro18
France21
Luxembourg18
Poland13
Macao(China)10
ChineseTaipei21
Sweden21
Thailand27
VietNam13
Switzerland22
Korea7
Hungary22
SlovakRepublic24
Japan18
Finland24
Georgia27
CzechRepublic22
B-S-J-G(China)31
Netherlands19
Germany33
Indonesia19
Denmark48
%
Percentage of students who expect to work in science-related professional and
technical occupations when they are 30
Science-related technicians and associate professionals
Information and communication technology professionals
Health professionals
Science and engineering professionals
%ofstudentswithvag
ueormissingexpectati
ons
0
10
20
30
40
50
300 400 500 600 700
Percentageofstudentsexpectinga
careerinscience
Score points in science
Low enjoyment of science
High enjoyment of science
Students expecting a career in science
by performance and enjoyment of learning
Figure I.3.17


9 Looking forward to…
Better anticipate the evolution of
the demand for 21st century skills
and better integrate the world of
work and learning
Leverage the potential
of all learners
Find more innovative solutions to
what we learn, how we learn, when
we learn and where we learn
Advance from an industrial towards
a professional work organisation
Building learning
systems that…
The kind of things that
are easy to teach are
now easy to automate,
digitize or outsource
35
40
45
50
55
60
65
70
1960 1970 1980 1990 2000 2006 2009
Routine manual
Nonroutine manual
Routine cognitive
Nonroutine analytic
Nonroutine interpersonal
Mean task input in percentiles of 1960 task
Robotics
The Auto-auto
>1m km,
one minor accident,
occasional human intervention
Augmented Reality
Education in the past
Education now
External forces
exerting pressure and
influence inward on
an occupation
Internal motivation and
efforts of the members
of the profession itself
15 Professionalism
Professionalism is the level of autonomy and
internal regulation exercised by members of an
occupation in providing services to society
Policy levers to teacher professionalism
Knowledge base for teaching
(initial education and incentives for
professional development)
Autonomy: Teachers’ decision-
making power over their work
(teaching content, course offerings,
discipline practices)
Peer networks: Opportunities for
exchange and support needed
to maintain high standards of
teaching (participation in induction,
mentoring, networks, feedback from direct
observations)
Teacher
professionalism
Teacher professionalism
Knowledge base for teaching
(initial education and incentives for
professional development)
Autonomy: Teachers’ decision-
making power over their work
(teaching content, course offerings,
discipline practices)
Peer networks: Opportunities for
exchange and support needed
to maintain high standards of
teaching (participation in induction,
mentoring, networks, feedback from direct
observations)
Technology can amplify innovative teaching
• As tools for inquiry-
based pedagogies
with learners as
active participants
• Make it faster
and more granular
• Collaborative platforms
for teachers to share and
enrich teaching materials
• Well beyond textbooks, in
multiple formats, with little
time and space constraints
Expand
access to
content
Collaboration
for
knowledge
creation
Support
new
pedagogies
Feedback
1919Lessonsfromhighperformers
19
19 Thank you
Find out more about our work at www.oecd.org/edu
– All publications
– The complete micro-level database
Discover PISA 2015 results by country
www.compareyourcountry.org/pisa
Email: Andreas.Schleicher@OECD.org
Twitter: SchleicherOECD

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Preparing Students for the 4th Industrial Revolution Implications for Science Education

  • 1. Preparing students for the 4th Industrial Revolution Implications for science education Andreas Schleicher Director for Education and Skills
  • 3. “the ability to engage with science- related issues, and with the ideas of science, as a reflective citizen” Science in PISA
  • 4. Trends in science performance (PISA) 2006 2009 2012 2015 OECD 450 470 490 510 530 550 570 OECD average Studentperformance
  • 5. Trends in science performance (PISA) 450 470 490 510 530 550 570 2006 2009 2012 2015 OECD average
  • 6. Poverty is not destiny - Science performance by international deciles of the PISA index of economic, social and cultural status (ESCS) 280 330 380 430 480 530 580 630 DominicanRepublic40 Algeria52 Kosovo10 Qatar3 FYROM13 Tunisia39 Montenegro11 Jordan21 UnitedArabEmirates3 Georgia19 Lebanon27 Indonesia74 Mexico53 Peru50 CostaRica38 Brazil43 Turkey59 Moldova28 Thailand55 Colombia43 Iceland1 TrinidadandTobago14 Romania20 Israel6 Bulgaria13 Greece13 Russia5 Uruguay39 Chile27 Latvia25 Lithuania12 SlovakRepublic8 Italy15 Norway1 Spain31 Hungary16 Croatia10 Denmark3 OECDaverage12 Sweden3 Malta13 UnitedStates11 Macao(China)22 Ireland5 Austria5 Portugal28 Luxembourg14 HongKong(China)26 CzechRepublic9 Poland16 Australia4 UnitedKingdom5 Canada2 France9 Korea6 NewZealand5 Switzerland8 Netherlands4 Slovenia5 Belgium7 Finland2 Estonia5 VietNam76 Germany7 Japan8 ChineseTaipei12 B-S-J-G(China)52 Singapore11 Scorepoints Bottom decile Second decile Middle decile Ninth decile Top decile Figure I.6.7 % of students in the bottom international deciles of ESCS OECD median student
  • 7. Students expecting a career in science Figure I.3.2 0 5 10 15 20 25 30 35 40 45 50 DominicanRep.12 CostaRica11 Jordan6 UnitedArabEm.11 Mexico6 Colombia8 Lebanon15 Brazil19 Peru7 Qatar19 UnitedStates13 Chile18 Tunisia19 Canada21 Slovenia16 Turkey6 Australia15 UnitedKingdom17 Malaysia4 Kazakhstan14 Spain11 Norway21 Uruguay17 Singapore14 TrinidadandT.13 Israel25 CABA(Arg.)19 Portugal18 Bulgaria25 Ireland13 Kosovo7 Algeria12 Malta11 Greece12 NewZealand24 Albania29 Estonia15 OECDaverage19 Belgium16 Croatia17 FYROM20 Lithuania21 Iceland22 Russia19 HKG(China)20 Romania20 Italy17 Austria23 Moldova7 Latvia19 Montenegro18 France21 Luxembourg18 Poland13 Macao(China)10 ChineseTaipei21 Sweden21 Thailand27 VietNam13 Switzerland22 Korea7 Hungary22 SlovakRepublic24 Japan18 Finland24 Georgia27 CzechRepublic22 B-S-J-G(China)31 Netherlands19 Germany33 Indonesia19 Denmark48 % Percentage of students who expect to work in science-related professional and technical occupations when they are 30 Science-related technicians and associate professionals Information and communication technology professionals Health professionals Science and engineering professionals %ofstudentswithvag ueormissingexpectati ons
  • 8. 0 10 20 30 40 50 300 400 500 600 700 Percentageofstudentsexpectinga careerinscience Score points in science Low enjoyment of science High enjoyment of science Students expecting a career in science by performance and enjoyment of learning Figure I.3.17  
  • 9. 9 Looking forward to… Better anticipate the evolution of the demand for 21st century skills and better integrate the world of work and learning Leverage the potential of all learners Find more innovative solutions to what we learn, how we learn, when we learn and where we learn Advance from an industrial towards a professional work organisation Building learning systems that…
  • 10. The kind of things that are easy to teach are now easy to automate, digitize or outsource 35 40 45 50 55 60 65 70 1960 1970 1980 1990 2000 2006 2009 Routine manual Nonroutine manual Routine cognitive Nonroutine analytic Nonroutine interpersonal Mean task input in percentiles of 1960 task
  • 11. Robotics The Auto-auto >1m km, one minor accident, occasional human intervention
  • 15. External forces exerting pressure and influence inward on an occupation Internal motivation and efforts of the members of the profession itself 15 Professionalism Professionalism is the level of autonomy and internal regulation exercised by members of an occupation in providing services to society
  • 16. Policy levers to teacher professionalism Knowledge base for teaching (initial education and incentives for professional development) Autonomy: Teachers’ decision- making power over their work (teaching content, course offerings, discipline practices) Peer networks: Opportunities for exchange and support needed to maintain high standards of teaching (participation in induction, mentoring, networks, feedback from direct observations) Teacher professionalism
  • 17. Teacher professionalism Knowledge base for teaching (initial education and incentives for professional development) Autonomy: Teachers’ decision- making power over their work (teaching content, course offerings, discipline practices) Peer networks: Opportunities for exchange and support needed to maintain high standards of teaching (participation in induction, mentoring, networks, feedback from direct observations)
  • 18. Technology can amplify innovative teaching • As tools for inquiry- based pedagogies with learners as active participants • Make it faster and more granular • Collaborative platforms for teachers to share and enrich teaching materials • Well beyond textbooks, in multiple formats, with little time and space constraints Expand access to content Collaboration for knowledge creation Support new pedagogies Feedback
  • 19. 1919Lessonsfromhighperformers 19 19 Thank you Find out more about our work at www.oecd.org/edu – All publications – The complete micro-level database Discover PISA 2015 results by country www.compareyourcountry.org/pisa Email: Andreas.Schleicher@OECD.org Twitter: SchleicherOECD