This document discusses learning analytics from different perspectives and considerations for developing effective learning analytics tools. It outlines the learning analytics cycle of learners, data, analysis, and intervention. A good learning analytics tool should have a pedagogical purpose, cyclic real-time process, put the learner or teacher in control, consider privacy and avoid filter bubbles. Developing learning analytics requires an iterative process that involves stakeholders like educators, researchers, and students.

1. Learning Analytics
A student perspective
Sander Latour |@sanderlatour | latour@uva.nl

2. Teacher perspective

3. Student perspective

4. Desired student perspective

5. Why
should I be
educated?

6. For what
should I be
educated?

7. A job needs me

8. The world needs me

9. I need me

10. 21st century skills

11. Diversity instead of conformity

12. Education for a different time

13. Student perspective

14. Desired student perspective

15. Tracking for students

16. Reflect on own learning

17. Reflect on the learning of others

18. Predict outcome

19. Personalization for students

20. Content adaption

21. Personalized track

22. Learn at your own pace

24. Are there dangers along the way?

25. Who owns the data?

26. Data hunts you

27. Enforcing the factory line mentality

28. Learners
Data
Analysis
Intervention
The Learning Analytics cycle
Doug Clow. 2012. The learning analytics cycle: closing the loop effectively.
In Proceedings of the 2nd International Conference on Learning Analytics and Knowledge (LAK '12)

29. Learners
Data
Analysis
InterventionA Good Learning Analytics Tool...
1 2 3 4 5 6 7 8 9 10

30. Learners
Data
Analysis
InterventionA Good Learning Analytics Tool...
Targets a pedagogical purpose1

31. Learners
Data
Analysis
InterventionA Good Learning Analytics Tool...
Has a cyclic process, preferably real-time2

32. Learners
Data
Analysis
InterventionA Good Learning Analytics Tool...
Puts learner or teacher in the driving seat3

33. Learners
Data
Analysis
InterventionA Good Learning Analytics Tool...
Cannot capture everything and acts accordingly4

34. Learners
Data
Analysis
InterventionA Good Learning Analytics Tool...
Creates learner-centric data, not tool-centric5

35. Learners
Data
Analysis
InterventionA Good Learning Analytics Tool...
Considers privacy and data ownership6

36. Learners
Data
Analysis
InterventionA Good Learning Analytics Tool...
Discourages users to game the system7

37. Learners
Data
Analysis
InterventionA Good Learning Analytics Tool...
Supports and facilitates differences in learners8

38. Learners
Data
Analysis
InterventionA Good Learning Analytics Tool...
Avoids getting stuck in the filter bubble9

39. Learners
Data
Analysis
InterventionA Good Learning Analytics Tool...
Involves stakeholders in its development10

40. Learners
Data
Analysis
Intervention
The Learning Analytics cycle
Doug Clow. 2012. The learning analytics cycle: closing the loop effectively.
In Proceedings of the 2nd International Conference on Learning Analytics and Knowledge (LAK '12)

41. Education
Evidence
Research
Providers
The Learning Analytics development cycle
Developing Learning Analytics is an iterative process
that can, should and must involve all stakeholders

42. Thank you
for listening
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Email: latour@uva.nl