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OPENING THE ‘BLACK BOX’:
ASSESSING TEACHING AND LEARNING
EXCELLENCE AS A GAME-CHANGE
Dirk Van Damme
OECD/EDU/IMEP
Inputs
Black
box
Outputs
2
Inputs
Black
box
Outputs
3
Financial inputs in higher
education increasing
• Total (public & private) financial investment grew
– Between 2005 and 2011 on average across
OECD increase of 10% in per student
expenditure and 27% in total expenditure
– With huge differences between countries,
increases higher in countries with below-average
expenditure, catching up
– Yearly per student expenditure is now 14 KUS$
– Total expenditure increased from 1.3% GDP in
2000 to 1.6% GDP in 2011
Inputs
4
United States
Switzerland
Denmark
Sweden
Norway
Finland
Netherlands Germany
Japan
Ireland
Belgium
FranceAustria
Spain
Israel
United Kingdom
Brazil
Italy
KoreaPolandPortugal
Czech Republic
HungaryChile
Slovak RepublicMexico Estonia
Iceland
Russian Federation
New Zealand
Slovenia
R² = 0.079
6 000
10 000
14 000
18 000
22 000
26 000
-30 -20 -10 0 10 20 30 40 50 60 70
Annual expenditure
per student (2011,
USD)
Change in expenditure per student between 2005 and 2011 (%)
OECD
average
OECD
average
Financial inputs in higher
education increasing
Inputs
5
• Private expenditure has increased a lot
– 31% of total expenditure (0.5% GDP) comes from
private sources, mainly tuition fees
– Increase from 25% in 2000
– Total private expenditure increased with 32%
since 2005
– >50% in Israel, US, Australia, Japan, UK, Korea
and Chile
Financial inputs in higher
education increasing
Inputs
6
• Increase in total per student expenditure slows
down since crisis
– Negative growth in almost half of countries
between 2008 and 2011
– Expenditure cannot catch up with increasing
student numbers
• Increasing concerns about levels of private
expenditure, student debt
– 5 million international students investing even
much higher amounts of money
But strong signs of stagnating
funding
Inputs
7
80
90
100
110
120
130
140
150
Estonia
SlovakRepublic
Chile
Hungary
Korea
CzechRepublic
Finland
Slovenia
Denmark
RussianFederation
Israel
Japan
UnitedKingdom
Italy
Poland
OECDaverage
EU21average
Netherlands
Switzerland
France
Sweden
Germany
Australia
Brazil
Spain
Norway
Mexico
Belgium
Portugal
Austria
UnitedStates
Ireland
Iceland
Index of change
(2008=100)
Change in expenditure Change in the number of students (in full-time equivalents) Change in expenditure per student
But strong signs of stagnating
funding
Inputs
8
But strong signs of stagnating
funding
Inputs
• Efficiency and value-for-money become very
important policy considerations
– Both for governments and students/families
– Cost of higher education becoming political issue
in many countries
• What are students actually ‘buying’?
– Very weak relationship between cost and actual
‘product’, benefits and outcomes
– Value-for-money depends enormously on
institution and field of study
9
Inputs
Black
box
Outputs
10
Inputs
Black
box
Outputs
11
• Share of tertiary educated in the population
increased, but still huge disparities across
countries
– 34% of adult population in OECD now has a
tertiary qualification, up from 22% in 2000
Outputs Increases in graduate output
12
Outputs Increases in graduate output
0
10
20
30
40
50
60
China
SouthAfrica
Indonesia
Brazil
Turkey
Italy
Chile
Mexico
Portugal
SlovakRepublic
CzechRepublic
Colombia
Austria
Hungary
Poland
Slovenia
Greece
Germany
Latvia
EU21average
France
Spain
OECDaverage
Netherlands
Denmark
Iceland
Belgium
Sweden
Switzerland
Estonia
Norway
Luxembourg
Finland
Ireland
NewZealand
UnitedKingdom
Australia
Korea
UnitedStates
Israel
Japan
Canada
Russian…
2000 2012%
13
• Employment benefits remain high
• On average across OECD academic degree
gives a wage premium of 75% compared to
upper secondary educated workers
• Total net present value over lifetime is around
160 000 US$ for man, 100 000 US$ for woman
– But with huge differences across fields of study
• Or internal rate of return of 16%
• High social benefits in health, interpersonal trust,
volunteering, political participation
Outputs Employment, earnings and
social benefits remain high
14
Outputs Employment, earnings and
social benefits remain high
15
0
50 000
100 000
150 000
200 000
250 000
300 000
350 000
400 000
450 000
500 000
Turkey
Denmark
Spain
Estonia
Sweden
NewZealand
Greece
Korea
Japan
Canada
SlovakRepublic
Poland
Norway
Israel
CzechRepublic
France
Australia
Finland
OECDaverage
Portugal
EU21average
Austria
UnitedKingdom
Netherlands
Italy
Belgium
Slovenia
Germany
UnitedStates
Hungary
Ireland
EquivalentUSD
Private net returns Public net returns
• Is graduate output higher than the economy’s
need for high-skilled labour?
– Graduate unemployment
– Filtering-down effect?
– Over-qualification and over-skilling
– Huge field-of-study mismatches
• Is polarization in labour markets, with high
employment/high earnings because of skill-
biased technological change going to last?
Outputs But increasing concerns about
quality of output
16
Outputs But increasing concerns about
quality of output
17
Outputs But increasing concerns about
quality of output
• Enormous differences in the skills equivalent of
tertiary qualifications
– Foundation skills such as literacy and numeracy
– Can societies accept that higher education
graduates have low literacy and numeracy skills?
18
19
Outputs But increasing concerns about
quality of output
20
0
5
10
15
20
25
30
35
40
Japan
Finland
Netherlands
Sweden
Australia
Norway
Flanders(Belgium)
England(UK)
England/N.Ireland
(UK)
UnitedStates
CzechRepublic
OECDaverage
Poland
Canada
NorthernIreland(UK)
Austria
Germany
Ireland
France
Denmark
Estonia
SlovakRepublic
Korea
RussianFederation
Spain
Italy
Below upper secondary education Upper secondary or post-secondary non-tertiary education Tertiary education
Proportion of 25-64 year-olds scoring at PIAAC numeracy level 4 and 5, by
educational attainment of the population (2012)
Outputs But increasing concerns about
quality of output
21
Outputs But increasing concerns about
quality of output
• Concerns about the quality and added-value of a
university experience
– Academically Adrift: limited improvement in
academic skills
– What is the relative contribution of selection
versus teaching and learning in the production of
high-quality graduates; what is the actual
‘learning gain’
– Doubts on the quality of the teaching and learning
experience at elite universities
22
Outputs But increasing concerns about
quality of output
Inputs
Black
box
Outputs
23
Inputs
Increasing
investments
by taxpayers
and families,
but concerns
about value-
for-money
Black
box
Outputs
High
numbers of
graduates,
still high
returns, but
concerns
about quality
24
Inputs
Increasing
investments
by taxpayers
and families,
but concerns
about value-
for-money
Black
box
Outputs
High
numbers of
graduates,
still high
returns, but
concerns
about quality
?
25
• What do we know about how quality of teaching
and learning results in high-quality output, and
socially interesting outcomes?
• Information asymmetry: both public and private
financers of higher education have very little
understanding of what they actually are
spending money for
• Increase of investment has not been
accompanied by an empowerment of the input
side to make smart choices through better
information
Black
box
Black box problem is problem
of transparency
26
• How to improve transparency?
– Performance management systems: essentially
bureaucratic control systems, very rarely
comparative and tuned to better decision-making
– Quality assurance arrangements: increasingly
relativistic (‘fitness-for-purpose’), bureaucratic
and inward oriented (internal QA), unfit for
external transparency, nor empowering students
– Student satisfaction surveys: empowering, but
perception-based, largely unrelated to teaching
and learning quality
Black
box
Black box problem is problem
of transparency
27
• How to improve transparency?
– Input measures as proxies for teaching and
learning quality: above a threshold level input has
a weak relationship to quality (cfr PISA)
– Research measurement and bibliometric
indicators as proxies for teaching and learning
quality: most inaccurate, unfair to wide range of
institutions and institutional diversity
– Reputations: act as (too?) powerful tools, also in
rankings, but inaccurate, often outdated, inimical
to newcomers and innovators
Black
box
Black box problem is problem
of transparency
28
• Sound metrics of teaching and learning are very
much needed
– To reassure governments and families about the
value-for-money of investments
– To reward institutions who invest in improving
teaching and learning and are not compensated
through other measures
– To value institutional diversification
– To reward and foster quality improvement through
mutual learning
– To compensate for the over-reliance of rankings on
research and reputation metrics
Black
box
Black box problem is problem
of transparency
29
• What are the risks of not improving transparency?
– Erosion of the symbolic power of degrees, the only
monopoly of the higher education sector
• Employers turning to alternative modes of selection
• Emergence of alternative modes of qualification (employer
credentials, badges, recognition of prior learning, etc.)
Black
box
Black box problem is problem
of transparency
30
Black
box
Black box problem is problem
of transparency
31
• What are the risks of not improving transparency?
– Blaming the student becomes the main excuse
– Decreasing trust of governments, employers, families
and wider society in the value of higher education
• Degree inflation
• Concerns about declining standards in some countries
– Gradual erosion of the financial health of higher
education institutions if value-for-money concerns are
left unanswered
• Financial bubbles of student debt
– Markets no longer accept non-transparency
• Cfr Volkswagen
Black
box
Black box problem is problem
of transparency
32
Inputs
Increasing
investments
by taxpayers
and families,
but concerns
about value-
for-money
Black
box
Outputs
High
numbers of
graduates,
still high
returns, but
concerns
about quality
?
33
Inputs
Increasing
investments
by taxpayers
and families,
but concerns
about value-
for-money
Black
box
Outputs
High
numbers of
graduates,
still high
returns, but
concerns
about quality
Opening the black box
34
• We need to better understand what happens in
the teaching and learning environments in
universities
– With the investment inputs provided
– Explaining the benefits and returns and
understanding why they sometimes fail
– In order to incentivize improvements in teaching
and learning
– Empower students and families
– Restore trust
35
Black
box
Opening the black box
• Comparative assessment of learning outcomes
of graduates is the most promising approach to
measure teaching and learning excellence
– OECD’s AHELO project
– National research projects in Germany, UK, Italy
– CLA and various other initiatives in US
– OECD-CEA partnership to implement CLA+ in
countries
– European Commission supported CALOHEE
project in Tuning framework
36
Black
box
Opening the black box
• Strong resistance by parts of the academic
community, but do they have a strong case?
– No consensus on academic skills that matter
– Risk of standardization
– Institutional diversity too large to use limited number of
metrics
– Methodological concerns
– Cost and burden
• …exactly the same arguments used 20 years ago
when the PISA programme was born
• …and very similar to arguments used 10 years ago
against measuring research excellence
37
Black
box
Opening the black box
• Developing reliable metrics of teaching and
learning excellence in universities is the next big
systemic challenge in the development of higher
education worldwide
• In the short term universities might think it’s not
in their interest and that non-transparency is the
better option
• But in the longer term that might be a very risky
approach, in which the costs largely exceed the
short-term profits
38
Black
box
Opening the black box
• The future progress of universities will not come from
– Continued massification and ever higher numbers of
students
– Continued increases in public and private funding
• But will be the outcome of better and more visible quality
improvements in teaching and learning
• The impact of teaching and learning excellence will be
similar to the way research excellence has changed the
system
39
Finally
Inputs
Excellent
teaching
and
learning
Outputs
Opening the black box
40
Thank you !
dirk.vandamme@oecd.org
www.oecd.org/edu/ceri
twitter @VanDammeEDU
41

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Opening the ‘black box’ was melbourne 2 oct 2015

  • 1. OPENING THE ‘BLACK BOX’: ASSESSING TEACHING AND LEARNING EXCELLENCE AS A GAME-CHANGE Dirk Van Damme OECD/EDU/IMEP
  • 4. Financial inputs in higher education increasing • Total (public & private) financial investment grew – Between 2005 and 2011 on average across OECD increase of 10% in per student expenditure and 27% in total expenditure – With huge differences between countries, increases higher in countries with below-average expenditure, catching up – Yearly per student expenditure is now 14 KUS$ – Total expenditure increased from 1.3% GDP in 2000 to 1.6% GDP in 2011 Inputs 4
  • 5. United States Switzerland Denmark Sweden Norway Finland Netherlands Germany Japan Ireland Belgium FranceAustria Spain Israel United Kingdom Brazil Italy KoreaPolandPortugal Czech Republic HungaryChile Slovak RepublicMexico Estonia Iceland Russian Federation New Zealand Slovenia R² = 0.079 6 000 10 000 14 000 18 000 22 000 26 000 -30 -20 -10 0 10 20 30 40 50 60 70 Annual expenditure per student (2011, USD) Change in expenditure per student between 2005 and 2011 (%) OECD average OECD average Financial inputs in higher education increasing Inputs 5
  • 6. • Private expenditure has increased a lot – 31% of total expenditure (0.5% GDP) comes from private sources, mainly tuition fees – Increase from 25% in 2000 – Total private expenditure increased with 32% since 2005 – >50% in Israel, US, Australia, Japan, UK, Korea and Chile Financial inputs in higher education increasing Inputs 6
  • 7. • Increase in total per student expenditure slows down since crisis – Negative growth in almost half of countries between 2008 and 2011 – Expenditure cannot catch up with increasing student numbers • Increasing concerns about levels of private expenditure, student debt – 5 million international students investing even much higher amounts of money But strong signs of stagnating funding Inputs 7
  • 9. But strong signs of stagnating funding Inputs • Efficiency and value-for-money become very important policy considerations – Both for governments and students/families – Cost of higher education becoming political issue in many countries • What are students actually ‘buying’? – Very weak relationship between cost and actual ‘product’, benefits and outcomes – Value-for-money depends enormously on institution and field of study 9
  • 12. • Share of tertiary educated in the population increased, but still huge disparities across countries – 34% of adult population in OECD now has a tertiary qualification, up from 22% in 2000 Outputs Increases in graduate output 12
  • 13. Outputs Increases in graduate output 0 10 20 30 40 50 60 China SouthAfrica Indonesia Brazil Turkey Italy Chile Mexico Portugal SlovakRepublic CzechRepublic Colombia Austria Hungary Poland Slovenia Greece Germany Latvia EU21average France Spain OECDaverage Netherlands Denmark Iceland Belgium Sweden Switzerland Estonia Norway Luxembourg Finland Ireland NewZealand UnitedKingdom Australia Korea UnitedStates Israel Japan Canada Russian… 2000 2012% 13
  • 14. • Employment benefits remain high • On average across OECD academic degree gives a wage premium of 75% compared to upper secondary educated workers • Total net present value over lifetime is around 160 000 US$ for man, 100 000 US$ for woman – But with huge differences across fields of study • Or internal rate of return of 16% • High social benefits in health, interpersonal trust, volunteering, political participation Outputs Employment, earnings and social benefits remain high 14
  • 15. Outputs Employment, earnings and social benefits remain high 15 0 50 000 100 000 150 000 200 000 250 000 300 000 350 000 400 000 450 000 500 000 Turkey Denmark Spain Estonia Sweden NewZealand Greece Korea Japan Canada SlovakRepublic Poland Norway Israel CzechRepublic France Australia Finland OECDaverage Portugal EU21average Austria UnitedKingdom Netherlands Italy Belgium Slovenia Germany UnitedStates Hungary Ireland EquivalentUSD Private net returns Public net returns
  • 16. • Is graduate output higher than the economy’s need for high-skilled labour? – Graduate unemployment – Filtering-down effect? – Over-qualification and over-skilling – Huge field-of-study mismatches • Is polarization in labour markets, with high employment/high earnings because of skill- biased technological change going to last? Outputs But increasing concerns about quality of output 16
  • 17. Outputs But increasing concerns about quality of output 17
  • 18. Outputs But increasing concerns about quality of output • Enormous differences in the skills equivalent of tertiary qualifications – Foundation skills such as literacy and numeracy – Can societies accept that higher education graduates have low literacy and numeracy skills? 18
  • 19. 19 Outputs But increasing concerns about quality of output
  • 20. 20 0 5 10 15 20 25 30 35 40 Japan Finland Netherlands Sweden Australia Norway Flanders(Belgium) England(UK) England/N.Ireland (UK) UnitedStates CzechRepublic OECDaverage Poland Canada NorthernIreland(UK) Austria Germany Ireland France Denmark Estonia SlovakRepublic Korea RussianFederation Spain Italy Below upper secondary education Upper secondary or post-secondary non-tertiary education Tertiary education Proportion of 25-64 year-olds scoring at PIAAC numeracy level 4 and 5, by educational attainment of the population (2012) Outputs But increasing concerns about quality of output
  • 21. 21 Outputs But increasing concerns about quality of output • Concerns about the quality and added-value of a university experience – Academically Adrift: limited improvement in academic skills – What is the relative contribution of selection versus teaching and learning in the production of high-quality graduates; what is the actual ‘learning gain’ – Doubts on the quality of the teaching and learning experience at elite universities
  • 22. 22 Outputs But increasing concerns about quality of output
  • 24. Inputs Increasing investments by taxpayers and families, but concerns about value- for-money Black box Outputs High numbers of graduates, still high returns, but concerns about quality 24
  • 25. Inputs Increasing investments by taxpayers and families, but concerns about value- for-money Black box Outputs High numbers of graduates, still high returns, but concerns about quality ? 25
  • 26. • What do we know about how quality of teaching and learning results in high-quality output, and socially interesting outcomes? • Information asymmetry: both public and private financers of higher education have very little understanding of what they actually are spending money for • Increase of investment has not been accompanied by an empowerment of the input side to make smart choices through better information Black box Black box problem is problem of transparency 26
  • 27. • How to improve transparency? – Performance management systems: essentially bureaucratic control systems, very rarely comparative and tuned to better decision-making – Quality assurance arrangements: increasingly relativistic (‘fitness-for-purpose’), bureaucratic and inward oriented (internal QA), unfit for external transparency, nor empowering students – Student satisfaction surveys: empowering, but perception-based, largely unrelated to teaching and learning quality Black box Black box problem is problem of transparency 27
  • 28. • How to improve transparency? – Input measures as proxies for teaching and learning quality: above a threshold level input has a weak relationship to quality (cfr PISA) – Research measurement and bibliometric indicators as proxies for teaching and learning quality: most inaccurate, unfair to wide range of institutions and institutional diversity – Reputations: act as (too?) powerful tools, also in rankings, but inaccurate, often outdated, inimical to newcomers and innovators Black box Black box problem is problem of transparency 28
  • 29. • Sound metrics of teaching and learning are very much needed – To reassure governments and families about the value-for-money of investments – To reward institutions who invest in improving teaching and learning and are not compensated through other measures – To value institutional diversification – To reward and foster quality improvement through mutual learning – To compensate for the over-reliance of rankings on research and reputation metrics Black box Black box problem is problem of transparency 29
  • 30. • What are the risks of not improving transparency? – Erosion of the symbolic power of degrees, the only monopoly of the higher education sector • Employers turning to alternative modes of selection • Emergence of alternative modes of qualification (employer credentials, badges, recognition of prior learning, etc.) Black box Black box problem is problem of transparency 30
  • 31. Black box Black box problem is problem of transparency 31
  • 32. • What are the risks of not improving transparency? – Blaming the student becomes the main excuse – Decreasing trust of governments, employers, families and wider society in the value of higher education • Degree inflation • Concerns about declining standards in some countries – Gradual erosion of the financial health of higher education institutions if value-for-money concerns are left unanswered • Financial bubbles of student debt – Markets no longer accept non-transparency • Cfr Volkswagen Black box Black box problem is problem of transparency 32
  • 33. Inputs Increasing investments by taxpayers and families, but concerns about value- for-money Black box Outputs High numbers of graduates, still high returns, but concerns about quality ? 33
  • 34. Inputs Increasing investments by taxpayers and families, but concerns about value- for-money Black box Outputs High numbers of graduates, still high returns, but concerns about quality Opening the black box 34
  • 35. • We need to better understand what happens in the teaching and learning environments in universities – With the investment inputs provided – Explaining the benefits and returns and understanding why they sometimes fail – In order to incentivize improvements in teaching and learning – Empower students and families – Restore trust 35 Black box Opening the black box
  • 36. • Comparative assessment of learning outcomes of graduates is the most promising approach to measure teaching and learning excellence – OECD’s AHELO project – National research projects in Germany, UK, Italy – CLA and various other initiatives in US – OECD-CEA partnership to implement CLA+ in countries – European Commission supported CALOHEE project in Tuning framework 36 Black box Opening the black box
  • 37. • Strong resistance by parts of the academic community, but do they have a strong case? – No consensus on academic skills that matter – Risk of standardization – Institutional diversity too large to use limited number of metrics – Methodological concerns – Cost and burden • …exactly the same arguments used 20 years ago when the PISA programme was born • …and very similar to arguments used 10 years ago against measuring research excellence 37 Black box Opening the black box
  • 38. • Developing reliable metrics of teaching and learning excellence in universities is the next big systemic challenge in the development of higher education worldwide • In the short term universities might think it’s not in their interest and that non-transparency is the better option • But in the longer term that might be a very risky approach, in which the costs largely exceed the short-term profits 38 Black box Opening the black box
  • 39. • The future progress of universities will not come from – Continued massification and ever higher numbers of students – Continued increases in public and private funding • But will be the outcome of better and more visible quality improvements in teaching and learning • The impact of teaching and learning excellence will be similar to the way research excellence has changed the system 39 Finally