The LACE project, funded by the European Union, aims to integrate communities working on learning analytics across educational sectors such as K12, higher education, and the workplace. It addresses key issues like privacy, ethics, and interoperability while promoting best practices through events and a shared evidence hub. Future visions of learning analytics include enhanced monitoring of learners, ethical data usage, and the potential for analytics to aid learning choices.

1. Learning Analytics
Community Exchange
Dr Doug Clow
Institute of Educational Technology, The Open University, UK
@dougclow
dougclow.org
doug.clow@open.ac.uk

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3. www.laceproject.eu

4. 4
Photo (CC)-BY Karsten Seiferlin https://flic.kr/p/aqnnhq
• The project
• Videos and publications
• Evaluation Framework
• Privacy and Ethics
• Interoperability
• Evidence Hub
• Visions of the Future
• Policy
• Future

5. the project

6. The LACE project
6
K12 Workplace
HEI Community-building through events &
communication channels/social media
(cross-disciplinary HEI, K12, Workplace)
 Technology transfer & best practice
 Organized many events, and contributed to
more (tutorials, workshops, conferences,
etc.)
European support action aimed at integrating communities working on LA from schools,
workplace and universities

7. Organisational Structure
7
Maren
WP3
(OUNL)
Peter, WP4, (SKOL)
Fabrizio, WP5, (ITS)
Hendrik,
Marcus
WP9
(OUNL)
Rebecca, WP8, (OUUK)
Adam
WP7
(CETIS)
Sally, WP1, (ATiT)
Brian
WP2
(CETIS)
Doug, WP6,
(OUUK)
PO: Liina Maria Munari
Dai WP7 (CETIS)

8. … and more partners
Mathy
Vanbuel
(ATiT)
Mehrnoosh
Vahdat
(ITS)
Christina Smart
(CETIS) Simone
Naso
(ITS)
Tore Hoel
(HIOA)
Weiqin
Chen
(HIOA)
Erwin Bomas
(Kennisnet)
Eva Szalma
(EDEN)
Li Yuan
(CETIS)
David Sherlock
(CETIS)
Wietse van Bruggen
(Kennisnet)
Marco
Paini
(ITS)

9. 9
This project has received funding from the European Union’s Seventh
Framework Programme for research, technological development and
demonstration under grant agreement no 619424.

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K12 Workplace
HE
State of the art by sector
• Awareness
raising
• Less solutions
& little use
• Vendor
interests
• High demand
on privacy
• No systematic
use of data
• Widespread interest (Management, Researchers, Teachers)
• Some substantive take-up
• More reporting data than taking action on data
• Probably most advanced sector
• Bridging ind.
communities
• KPIs
• Continuous
improvement
& need for LA
• Process
standardisation

11. videos and publications

12. 12http://www.laceproject.eu/videos/

13. evaluation framework
(framework of
quality indicators)

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15. 15

16. 16

17. privacy and ethics

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Workshops
EP4LA
Briefing papers

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20. 20

21. 21

22. interoperability

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• D7.1 Compilation of Learning Analytics
Interoperability Studies
• D7.2 Data Sharing Requirements and
Roadmap
• D7.3 Compilation of Learning Analytics
Interoperability Studies
• D7.4 Learning Analytics Interoperability:
Requirements, Specifications and Adoption

24. evidence hub

25. Evidence Hub – evidence.laceproject.eu
Learning analytics:
A. Improve learning outcomes.
B. Improve learning support and teaching
(including retention, completion and
progression).
C. Are taken up and used widely
(including deployment at scale).
D. Are used in an ethical way.
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26. Evidence Hub – Entries as at Aug 2016
Sector Europe North
America
Othe
r
No
location
Total
Schools 7 9 1 21 38
Universities 12 11 6 32 61
Workplace 1 0 0 11 12
Informal 1 0 1 4 6
Cross-sector 3 0 1 3 7
Total 24 20 9 71 124
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NB A technical issue with the LAK16 data import means that many entries
with valid countries are rendering as ‘No location’. This is will be fixed soon.

27. Evidence Hub – Evidence Flow map
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28. Evidence Hub – Map of Evidence
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29. Evidence Hub – analysis of evidence
• Almost all evidence is positive – publication bias?
– Except for D: Ethics
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30. visions of the future

31. Photo CC BY-NC-ND J Sibiga Photography https://flic.kr/p/8jkiNi
Eight Visions of the Future
1. Learners are monitored
by their learning
environments
2. Learners’ personal data
are tracked
3. Analytics are rarely used
4. Learners control their
own data
5. Open systems are widely
adopted
6. Learning analytics are
essential tools
7. Analytics help learners
make the right choices
8. Analytics have largely
replaced teachers
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32. Photo CC BY-SA Beau Considine https://flic.kr/p/m6Vqih
Themes in Visions of the Future
• Affect
• Alienation
• Complexity
• Cost
• Ethics
• Experience
• Pedagogy
• Power
• Privacy
• Regulation
• Standards
• Temporality
• Validity
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33. policy

34. Brussels Briefing for Policymakers
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35. LAEP: Pressing policy issues for the future
• Strategy
• Research and development
– pedagogies
– address strategic objectives
– technologies
– frameworks
• Infrastructure and Capability
• Context
• Standards
• Skills
• Outreach
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36. the future

37. Learning Analytics
Community Exchange
www.laceproject.eu

38. Learning Analytics
Community Europe
www.laceproject.eu

39. Thanks to:
People:
• LACE at the OU: Rebecca Ferguson, Andrew Brasher,
Bart Rientes, Simon Cross, Linda Norwood Michelle
Bailey, Rebecca Wilson, Evaghn De Souza, Natalie
Eggleston, Oliver Millard, Gary Elliot-Citigottis.
• LACE project partners: CETIS (Bolton), OUNL,
Skolverket, HIOA, Kennisnet, ITS, ATiT.
Funders:
• LACE: European Commission 619424-FP7-ICT-2013-11

40. “Learning Analytics Community Exchange” by Doug Clow,
Institute of Educational Technology, The Open University,
was presented at the 8th UK Learning Analytics Network
Meeting, The Open University, 2nd November 2016.
@dougclow
dougclow.org
doug.clow@open.ac.uk
This work was undertaken as part of the LACE Project, supported by the European Commission Seventh
Framework Programme, grant 619424.
These slides are provided under the Creative Commons Attribution Licence:
http://creativecommons.org/licenses/by/4.0/. Some images used may have different licence terms.
www.laceproject.eu
@laceproject
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41. cc licensed ( BY ) flickr photo by David Goehring: http://flickr.com/photos/carbonnyc/33413040/