OECD Education and Skills Ministerial: Digitalisation
Presentation from Andreas Schleicher about digitalisation in education and skills.
Find out more about the ministerial meeting at : https://www.oecd.org/education/ministerial/
Find out more about our work in education and skills: https://www.oecd.org/education/
2. Additional returns to skills in digital-intensive industries
0
2
4
6
8
10
12
% Returns to skills in less digital-intensive industries Additional returns to skills in digital-intensive industries
not significant
Source: OECD Science, Technology and Industry Scoreboard 2017 , Statlink: http://dx.doi.org/10.1787/888933617472
See: Grundke et al. (2018), Which skills for the digital era? Returns to skills analysis
3. ICT use and Non-routine intensity enhance forms of learning
Source: Survey of Adult Skills (2012, 2015)
0%
20%
40%
60%
Learning from co-workers Learning by doing Keeping up to date
ICT INTENSITY
NON-ROUTINE
INTENSITY
Expected effect of increase from 50th to 75th pctile of digital exposure on probability of learning at least once a week
4. Many teenagers aspire to jobs that are at high risk of automation (PISA)
0%
10%
20%
30%
40%
50%
60%
Australia
United
Kingdom
Ireland
New
Zealand
United
States
Finland
Norway
Canada
Singapore
Israel
Sweden
OECD
-
Sample
Average
Belgium
Denmark
Korea
Chile
Austria
Netherlands
Italy
Spain
Estonia
France
Czech
Republic
Poland
Slovenia
Cyprus
Greece
Germany
Japan
Lithuania
Slovak
Republic
Advantaged Disadvantaged
5. -75
-50
-25
0
25
Bogota Daegu Helsinki Houston Istanbul Manizales Moscow Ottawa Suzhou
mean scale difference
(students and parents)
mean scale difference
(teachers)
5
Figure 4.3
15-year-olds report lower creativity than 10-year-olds
Age gaps in creativity
6. Source:OECD Going Digital Toolkit, based on European Labour Force Surveys, national labour force surveys and other national sources..
Many jobs are digitally-intensive
Employment in digital-intensive sectors as a share of total employment (2016)
7. The kinds of things that are easy to teach…
Non-routine tasks
Routine tasks
Technology-intensive
tasks
Low-
technology
use
8. … have now become easy to digitise and automate
Non-routine tasks
Routine tasks
Technology-intensive tasks
Low-
technology
use
9. Skills to manage complex digital information
80 70 60 50 40 30 20 10 0 10 20 30 40 50 60 70 80
Ecuador
Peru
Türkiye
Mexico
Kazakhstan
Greece
Chile
Poland
Lithuania
Slovak Republic
Ireland
Israel
United States 2012/2014
Slovenia
Hungary
Northern Ireland (UK)
United States 2017
OECD average
Estonia
England (UK)
Australia
Korea
Canada
Austria
Czech Republic
Flanders (Belgium)
Germany
Japan
New Zealand
Norway
Netherlands
Denmark
Singapore
Sweden
Finland
55-65 Level 2
55-65 Level 3
Level 2
Level 3
%
Older adults (55-65)
Young adults (25-34)
Türkiye
10. Digital navigation skills (PISA)
0
10
20
30
40
50
60
70
80
90
100
Singapore
38
Korea
39
B-S-J-Z
(China)
39
Hong
Kong
(China)
34
Chinese
Taipei
46
Macao
(China)
39
United
Kingdom
22
Japan
34
United
States
30
Canada
26
New
Zealand
30
Netherlands
22
Australia
26
Finland
20
Ireland
20
Israel
17
UAE
25
Slovenia
20
Russia
22
Poland
29
Brunei
Darussalam
26
Malta
18
Croatia
19
Estonia
24
Austria
22
Malaysia
27
Belarus
27
OECD
average
24
Germany
22
Belgium
27
Lithuania
22
Czech
Republic
27
Overall
average
22
France
28
Latvia
18
Turkey
36
Thailand
24
Qatar
23
Hungary
25
Portugal
26
Italy
25
Switzerland
23
Albania
11
Denmark
16
Luxembourg
28
Norway
16
Bulgaria
14
Indonesia
14
Spain¹
23
Chile
25
Sweden
18
Slovak
Republic
19
Philippines
19
Costa
Rica
21
Greece
18
Iceland
31
Serbia
18
Mexico
15
Brazil
15
Kazakhstan
20
Montenegro
14
Georgia
15
BiH
12
Panama
17
Uruguay
8
Peru
18
Colombia
22
Dominican
Republic
9
Baku
(Azerbaijan)
15
Kosovo
7
Morocco
6
%
Fig 3.7
Percentage
of
students
who
self
activated
the
multiple-source
by
clicking
hyperlink
Highly effective navigation
Actively explorative navigation
Limited navigation
No navigation
11.
12. Older VET teachers feel less confident using digital technologies in their teaching
Proportion of upper-secondary VET teachers who are (very) confident using digital technologies, by age
(average from respondents in OECD countries)
Source: SELFIE database (extraction October 2018-December 2020); Hippe, R., Pokropek, A. and P. Costa (2021[2]), Cross-country validation of the SELFIE
tool for digital capacity building of Vocational Education and Training schools, in preparation.
13. Many countries invested in digitalisation
F3 - Which of the following measures for digitalisation have been taken to support education due to the pandemic
and have a direct impact on public budget?
0 2 4 6 8 10 12 14 16 18 20
Additional professional development activities for teachers (e.g.
workshops and webinars) directly targeting the effective use of
technologies
Deployment of new technological devices or investment in
infrastructure directly targeting distance learning (e.g. connectivity,
internet connection, electricity).
Purchasing new technologies for distance learning of students (e.g.
computers, tablets)
Purchasing new technologies for use in classrooms by teachers or
students (e.g. computers, tablets)
School year 2021/22 School year 2020/21
Number of countries
14. Many countries plan to maintain their efforts to digitalise education…
D1 - Which of the following measures for the digitalisation of education implemented due to COVID-19 do you plan to maintain
or further develop beyond the Covid-19 pandemic?
0 2 4 6 8 10 12 14 16 18
Enhanced use of digitalized assessments/exams
Enhanced provision of pre-service digital training to teachers
Enhanced provision of distance learning
Enhanced provision of hybrid learning
Enhanced provision of digital tools at the school
Enhanced provision of digital training for students
Primary Upper secondary (general) Tertiary
Number of countries
15. …, but many countries have not adapted their regulatory and
institutional frameworks
D2
D2 - Has the framework governing digital education changed as a result of the COVID-19 pandemic?
0 2 4 6 8 10 12 14 16
No (and none planned)
No but there are plans for this
Yes
Regulatory framework Institutional framework
LTU, LUX, SVK
ITA, LUX, SVK
BFR, CRI, GBR, ISR, ITA, JPN, POL, PRT, USA
AUT, BFR, CRI, DNK, ISR, LTU, POL, PRT, USA
Number of countries
Notas del editor
…and wiling to pay for more = additional premia for these skills in digitally intensive industries = an opportunity
And what are the skills that firms and sectors look for?
Understanding which skills are in short supply (and/or high demand) and command a wage premium in digital- or less digital-intensive industries can help understand what skills matter for the digital transformation.
OECD works shows that for a number of skills that are important to firm performance, labour market returns are higher in digital-intensive industries than in less digital-intensive industries.
Also, quantitative skills, ICT skills, numeracy and STEM skills as
well as self-organisation and management and communication skills seem to be especially important in digital-intensive sectors, and obtain 12% higher salaries, other things being equal.
This may be because workers in those industries operate in a more independent and decentralised fashion (e.g. through teleworking), perform relatively more non-routine tasks, or have to deal with continuously changing settings for which technical skills coupled with communication and organisational skills are increasingly important.
Each bar displays the expected percentage increase in the likelihood of learning from various sources at least once a week from an increase in the intensity of ICT use at work or in non-routine intensity from the 50th to the 75th percentile. The same econometric procedure as explained in slide 13’s notes is employed. The error bars correspond to 2 (robust) standard errors and as such represent the 95% confidence interval.
Message: More digital jobs provide more opportunities for learning from co-workers and by doing as well require more keeping up to date.
When you look at the career aspirations more closely, you also see that between 30 and 40 per cent of teenagers aspire to jobs that are at high risk of automation, particularly youths from poor families aim for jobs that are likely to disappear.
Now I had already mentioned that students’ creativity and curiosity were lower among 15-year-olds than among 10-year-olds.
That’s not just reflected in student self-reports, also the ratings from parents and from teachers gave a similar picture, at least in most jurisdictions, although you can see in Suzhou that the drop reported by students is much larger than what parents say. And teachers don’t seem to observe a drop.
That drop in creativity could be a reflection of the fact that education systems often expect compliance from students, with the potential consequence of driving out curiosity and creativity as students grow older and stay longer in the education system.
The dynamics behind that are not difficult to understand
The kind of things that are easy to teach and test have also become easy to digitise and automate
And technology intensive tasks are a on the rise
The dynamics behind that are not difficult to understand
The kind of things that are easy to teach and test have also become easy to digitise and automate
And technology intensive tasks are a on the rise
How well prepare are people for the digital world?
Among older generations the United States is the only G20 country where you have a least one in five adults with the digital problem-solving skills you need in today’s economy.
You might think this is all solved with the young generation of digital natives…
and when you measure the digital problem-solving skills of youths, you do indeed get better results. But in most countries just half of the young people moving in the labour-market are reasonably fit for the digital workplace.
The relative position of countries has changed too. The US used to be at the frontier, now it just has a middle position.
Singapore used to be the laggard, now its at the frontier, together with Finland and Sweden.
But being a digital native doesn’t mean you are digitally skilled.
Here you see the share of 15-year-olds who are highly effective navigators on the internet or at least capable to actively explore information. As you see there is no country in the Western world with at least half of the student population good at navigating the digital world.
Some students have limited navigation skills but often a majority did not even demonstrate basic navigation strategies.
So technology seems way ahead of student capacities.
You can also see how many teachers don’t feel confident using digital technologies, and that is particularly visible among older groups
CHART