The document provides an overview of the Learning Analytics Centre and the evolution of learning analytics, tracing its origins and community development led by figures like George Siemens. It discusses the key elements, theories, and models that contribute to learning analytics, emphasizing the importance of data collection, measurement, and the interplay of educational theories. Additionally, the document addresses adoption challenges and stakeholder interests, alongside frameworks for effective policy development in learning analytics.

1. Introduction to Learning Analytics

2. Centre for Change and Complexity in Learning (C3L)

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A little bit about us

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A little bit about us

5. How Learning Analytics Started?

6. How to extract value from big data sets?

7. How to extract value from big data sets?
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Education is no different

9. The first LAK conference in Banff, Canada (-40 degrees)
The start of the community led by George Siemens (now at UniSA)
2011
The First Handbook of LA2017
How LA started

10. Learning analytics as a solution

11. Learning analytics pipeline

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Opportunities for learning analytics

13. Key Elements of Learning Analytics

14. Adoption of theory
Contribute to theory
Design
Theory
Data Science
Collection
Measurement
Analysis
Reporting
Interaction & Visualization
Learning
Study
Consolidated model of learning analytics

15. Adoption of theory
Contribute to theory
Design
Theory
Data Science
Collection
Measurement
Analysis
Reporting
Interaction & Visualization
Learning
Study
Consolidated model of learning analytics

16. Data we collect

17. Evidence of learning?

18. Measures must be meaningful

19. Adoption of theory
Contribute to theory
Design
Theory
Data Science
Collection
Measurement
Analysis
Reporting
Interaction & Visualization
Learning
Study
Consolidated model of learning analytics

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Design in learning analytics

21. (Goodyear and Carvalho, 2014)
Designing for learning

22. Educational Data Mining vs Learning Analytics

23. Adoption of theory
Contribute to theory
Design
Theory
Data Science
Collection
Measurement
Analysis
Reporting
Interaction & Visualization
Learning
Study
Consolidated model of learning analytics

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Just about everything!
Learning analytics & educational theory?

25. Theory matters…

26. Example Learning Analytics Platforms

27. UniSA teaching dashboard
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28. Early hype: Course Signals

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Heat Map of online presence
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30. Feedback provision: On-task www.ontasklearning.org
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31. Feedback provision: On-task www.ontasklearning.org

32. Learning Analytics Adoption

33. All you do is put it together

34. Dimensions of LA Adoption

35. Sophistication model

36. Sophistication model

37. Learning analytics adoption research

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Interests – senior managers

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Concerns – senior managers

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Interests – teaching staff

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Concerns– teaching staff

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Interests – students

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Concerns– students

44. Expert opinion on LA policy

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Expert opinions on LA policy development

46. ROMA approach for policy development

47. SHEILA framework

48. SHEILA framework

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Map political context

50. SHEILA framework

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Identify key stakeholders

52. SHEILA framework

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Identify desired behavior changes

54. SHEILA framework

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Develop engagement strategy

56. SHEILA framework

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Analyse internal capacity to effect change

58. SHEILA framework

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Establish monitoring & learning frameworks

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Key LA adoption challenges

61. Thank You!

62. Q/A