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
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
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
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
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
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