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Digital Competence for Citizens
Update 2.2 to include AI and data related skills Jan 27 2022
Digital Citizenship Plus Seminar Series
Dr. Riina Vuorikari,
European Commission
DG Joint Research Centre
Society is facing many challenges
3
Joint Research Centre (JRC)
As the science and knowledge service of
the European Commission,
our mission is to support EU policies with
independent evidence throughout the whole policy cycle.
Digital skills challenge is high on the European Agenda!
In this talk
1.Context (5 min)
2.Scenario and requirements (10 min)
3.Examples of knowledge, skills and attitudes (10 min)
4.Monitoring and setting policy targets (5 min)
Sources: https://blog.google/products/gmail/save-time-with-smart-reply-in-gmail/;
https://help.apple.com/assets/5F9C37DC680CE2523318A9E4/5F9C37E3680CE2523318A9EC/en_GB/7bfb31e3c39725feb
7a7213db8f4c38a.png
Suggestions
for smart
replies
generated
by AI.
In 2017,
12% of
replies on
mobiles
driven by
this
AI empowers face recognition software,
the more data you give to the system
(e.g. insert name, confirm that the face
belogs to a given person), the better it
works.
Citizens interacting with smart technologies
Source: https://9to5mac.com/2019/01/18/irobot-roomba-siri-control/;
* https://foundation.mozilla.org/en/privacynotincluded/irobot-roomba-s-series/
Robot vacuums
often use
machine learning to
help map and navigate
a room, and to
recommended cleaning
schedules.
Operating
the robot vacuums
through
voice commands
uses AI too.
9
https://ec.europa.eu/education/education-in-the-eu/digital-
education-action-plan/action-8_en
DigComp 2.2 publication out in February-March 2022!
What knowledge, skills and
attitudes do citizens need
to engage with AI systems
in a confident, critical and
responsible way for
learning, at work,
and for participation in society?
See more at: https://ec.europa.eu/jrc/digcomp
DigComp requirements for citizens’ use of AI systems
KNOWLEDGE
• To be aware of what
AI systems do and
what they do not do
• To understand the
benefits, limitations
and challenges of
AI systems
SKILLS
• To use, interact and
give feedback to AI
systems as an end-
user
• To configure,
supervise and adapt
AI systems (e.g.
overwrite, tweak)
ATTITUDES
• Human agency and
control
• Critical yet open attitude
• Ethical considerations of
usage
12
The DigComp conceptual model stays the same!
See more at: https://ec.europa.eu/jrc/digcomp
In this talk
1.Context (5 min)
2.Scenario and requirements (10 min)
3.Examples of knowledge, skills and attitudes (10 min)
4.Monitoring and setting policy targets (5 min)
Information and data literacy
Disinformation,
deep fakes, echo
chambers…
1.2 Evaluating data, information and digital content
To analyse, compare and critically evaluate the credibility and
reliability of sources of data, information and digital content.
To analyse, interpret and critically evaluate the data,
information and digital content.
47% of Europeans have encountered untrue or
doubtful content online in the last 3 months*
*
1.2 Evaluating data, information, content
Aware that…,
knows that…,
recognises that…
Skill: Knows how
to…, can do…,
evaluates…
Open yet critical
attitude
Each
competence will
have
around 15
examples -
out of which
1-2 related to
AI and data.
DigComp 2.2 final draft includes 269 examples
+ the AI systems appendix
More in
appendix!!
Information literacy, Communication & Content
Disinformation
Influence of past
behaviour&tracking
..with humans
and human-like
interfaces Participate in civic & social life
and sustainable development
to create social value
Digital for remote-work
Managing personal data through
e-Identity
Co-creating digital artefacts (IoT) and content
Copyright, open
licences
Well-being and environmental sustainability
Importance of personal digital
balance including non-use as
an option
Remote-work and home
Digital health apps:
for good or bad?
Aware of energy demand
of devices, application
and services
Respect for sustainability
of natual and human
resources
In this talk
1.Context (5 min)
2.Scenario and requirements (10 min)
3.Examples of knowledge, skills and attitudes (10 min)
4.Monitoring and setting policy targets (5 min)
Digital Skills Indicator
part of Digital Society and Economy Index (DESI)
0
10
20
30
40
50
60
70
80
90
100
EU-27
Denmark
Sweden
Netherlands
Finland
Luxembourg
Germany
Belgium
Estonia
Ireland
Spain
France
Austria
Czechia
Cyprus
Latvia
Malta
Slovenia
Slovakia
Lithuania
Hungary
Croatia
Poland
Greece
Portugal
Italy
Bulgaria
Romania
United
Kingdom
Iceland
Norway
Switzerland
DSI - Overall Digital Skills Level, 2019
(%, share of individuals aged 16-74)
No use/no skills Low Basic Above basic
Slovakia: 2017 instead of 2019.
Czechia, Italy, Latvia, Luxembourg, Switzerland: break in time series.
Czechia, Sweden: low reliability.
Source: online data code isoc_sk_dskl_i
• Uses microdata of the EU survey on the ICT usage in households and by individuals
• First piloted on the 2012, revised methodology 2015 (data for 2016, 2017, 2019)
• Today, this composite indicator reflects four of the five competence dimensions of
the Digital Competence Framework:
 Information skills
 Communication skills
 Software skills
Problem solving skills
Digital Skills Indicator (DSI)
For each area indicator, a level is
computed based on activities that
individuals report.
Then, an overall skills levels is computed.
Source: Eurostat (online data code: isoc_ci_ac_i)
Why does it matter?
Digital skills challenge is a global one!
27
Thank you!
© European Union 2021
Unless otherwise noted the reuse of this presentation is authorised
under the CC BY 4.0 license. For any use or reproduction of elements that are not
owned by the EU, permission may need to be sought directly from the
respective right holders.
Contact: Riina.Vuorikari@ec.europa.eu
28
What does it mean to be digitally competent?
Digital competence involves
confident, critical and
responsible use of, and
engagement with the full
range of digital technologies
for learning, at work, and for
participation in society.
(Council Recommendation on Key Competences
for Lifelong Learning, 22 May 2018, ST 9009
2018 INIT)
KNOWLEDGE
SKILLS
ATTITUDES
COMPETENCE
29
Dimension 1 Areas identified to be part of the digital competence
Dimension 2 Competence titles and descriptors
Dimension 3 Levels of proficiency for each competence
Dimension 4 Examples of the knowledge, skills and attitudes applicable to each competence
Dimension 5 Examples of use
The focus of the DigComp 2.2 update

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Defining and measuring digital competence in a rapidly changing world: Perspectives from the DigComp framework

  • 1. Digital Competence for Citizens Update 2.2 to include AI and data related skills Jan 27 2022 Digital Citizenship Plus Seminar Series Dr. Riina Vuorikari, European Commission DG Joint Research Centre
  • 2. Society is facing many challenges
  • 3. 3 Joint Research Centre (JRC) As the science and knowledge service of the European Commission, our mission is to support EU policies with independent evidence throughout the whole policy cycle.
  • 4. Digital skills challenge is high on the European Agenda!
  • 5. In this talk 1.Context (5 min) 2.Scenario and requirements (10 min) 3.Examples of knowledge, skills and attitudes (10 min) 4.Monitoring and setting policy targets (5 min)
  • 6. Sources: https://blog.google/products/gmail/save-time-with-smart-reply-in-gmail/; https://help.apple.com/assets/5F9C37DC680CE2523318A9E4/5F9C37E3680CE2523318A9EC/en_GB/7bfb31e3c39725feb 7a7213db8f4c38a.png Suggestions for smart replies generated by AI. In 2017, 12% of replies on mobiles driven by this AI empowers face recognition software, the more data you give to the system (e.g. insert name, confirm that the face belogs to a given person), the better it works.
  • 7. Citizens interacting with smart technologies
  • 8. Source: https://9to5mac.com/2019/01/18/irobot-roomba-siri-control/; * https://foundation.mozilla.org/en/privacynotincluded/irobot-roomba-s-series/ Robot vacuums often use machine learning to help map and navigate a room, and to recommended cleaning schedules. Operating the robot vacuums through voice commands uses AI too.
  • 10. What knowledge, skills and attitudes do citizens need to engage with AI systems in a confident, critical and responsible way for learning, at work, and for participation in society? See more at: https://ec.europa.eu/jrc/digcomp
  • 11. DigComp requirements for citizens’ use of AI systems KNOWLEDGE • To be aware of what AI systems do and what they do not do • To understand the benefits, limitations and challenges of AI systems SKILLS • To use, interact and give feedback to AI systems as an end- user • To configure, supervise and adapt AI systems (e.g. overwrite, tweak) ATTITUDES • Human agency and control • Critical yet open attitude • Ethical considerations of usage
  • 12. 12 The DigComp conceptual model stays the same! See more at: https://ec.europa.eu/jrc/digcomp
  • 13. In this talk 1.Context (5 min) 2.Scenario and requirements (10 min) 3.Examples of knowledge, skills and attitudes (10 min) 4.Monitoring and setting policy targets (5 min)
  • 14. Information and data literacy Disinformation, deep fakes, echo chambers… 1.2 Evaluating data, information and digital content To analyse, compare and critically evaluate the credibility and reliability of sources of data, information and digital content. To analyse, interpret and critically evaluate the data, information and digital content.
  • 15. 47% of Europeans have encountered untrue or doubtful content online in the last 3 months* *
  • 16. 1.2 Evaluating data, information, content Aware that…, knows that…, recognises that…
  • 17. Skill: Knows how to…, can do…, evaluates… Open yet critical attitude
  • 18. Each competence will have around 15 examples - out of which 1-2 related to AI and data.
  • 19. DigComp 2.2 final draft includes 269 examples + the AI systems appendix More in appendix!!
  • 20. Information literacy, Communication & Content Disinformation Influence of past behaviour&tracking ..with humans and human-like interfaces Participate in civic & social life and sustainable development to create social value Digital for remote-work Managing personal data through e-Identity Co-creating digital artefacts (IoT) and content Copyright, open licences
  • 21. Well-being and environmental sustainability Importance of personal digital balance including non-use as an option Remote-work and home Digital health apps: for good or bad? Aware of energy demand of devices, application and services Respect for sustainability of natual and human resources
  • 22. In this talk 1.Context (5 min) 2.Scenario and requirements (10 min) 3.Examples of knowledge, skills and attitudes (10 min) 4.Monitoring and setting policy targets (5 min)
  • 23. Digital Skills Indicator part of Digital Society and Economy Index (DESI) 0 10 20 30 40 50 60 70 80 90 100 EU-27 Denmark Sweden Netherlands Finland Luxembourg Germany Belgium Estonia Ireland Spain France Austria Czechia Cyprus Latvia Malta Slovenia Slovakia Lithuania Hungary Croatia Poland Greece Portugal Italy Bulgaria Romania United Kingdom Iceland Norway Switzerland DSI - Overall Digital Skills Level, 2019 (%, share of individuals aged 16-74) No use/no skills Low Basic Above basic Slovakia: 2017 instead of 2019. Czechia, Italy, Latvia, Luxembourg, Switzerland: break in time series. Czechia, Sweden: low reliability. Source: online data code isoc_sk_dskl_i
  • 24. • Uses microdata of the EU survey on the ICT usage in households and by individuals • First piloted on the 2012, revised methodology 2015 (data for 2016, 2017, 2019) • Today, this composite indicator reflects four of the five competence dimensions of the Digital Competence Framework:  Information skills  Communication skills  Software skills Problem solving skills Digital Skills Indicator (DSI) For each area indicator, a level is computed based on activities that individuals report. Then, an overall skills levels is computed.
  • 25. Source: Eurostat (online data code: isoc_ci_ac_i)
  • 26. Why does it matter? Digital skills challenge is a global one!
  • 27. 27 Thank you! © European Union 2021 Unless otherwise noted the reuse of this presentation is authorised under the CC BY 4.0 license. For any use or reproduction of elements that are not owned by the EU, permission may need to be sought directly from the respective right holders. Contact: Riina.Vuorikari@ec.europa.eu
  • 28. 28 What does it mean to be digitally competent? Digital competence involves confident, critical and responsible use of, and engagement with the full range of digital technologies for learning, at work, and for participation in society. (Council Recommendation on Key Competences for Lifelong Learning, 22 May 2018, ST 9009 2018 INIT) KNOWLEDGE SKILLS ATTITUDES COMPETENCE
  • 29. 29 Dimension 1 Areas identified to be part of the digital competence Dimension 2 Competence titles and descriptors Dimension 3 Levels of proficiency for each competence Dimension 4 Examples of the knowledge, skills and attitudes applicable to each competence Dimension 5 Examples of use The focus of the DigComp 2.2 update