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Let’s get there! Towards policy for adoption of learning analytics
1) The document discusses challenges in adopting learning analytics and proposes a policy framework to guide the process. 2) Key adoption challenges include developing leadership, engaging stakeholders, providing training in data literacy, and establishing policies. 3) The framework suggests mapping the political context, identifying stakeholders, desired behavior changes, and developing an engagement strategy. It also involves analyzing capacity and establishing monitoring frameworks. 4) The goal is to provide an inclusive adoption process that embraces the complexity of educational systems and promotes innovation.
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Let’s get there! Towards policy for adoption of learning analytics
- 1. Let’s get there!Towards policy for adoption of learning analytics Dragan Gašević @dgasevic Oct 26, 2017 LSAC 2017 Amsterdam, The Netherlands http://sheilaproject.eu/
- 2. Current state Understanding &supporting learning Moving away from deficit models
- 3. Learning analytics isabout learning Gašević, D., Dawson, S., Siemens, G. (2015). Let’s not forget: Learning analytics are about learning. TechTrends, 59(1), 64-71.
- 4. Field of researchand practice Gašević, D., Kovanović, V., & Joksimović, S. (2017). Piecing the Learning Analytics Puzzle: A Consolidated Model of a Field of Research and Practice. Learning: Research and Practice, 3(2), 63-78. doi:10.1080/23735082.2017.1286142
- 5. Our institution isin early days of adoption
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- 7. Current state –Oz and Europe http://sheilaproject.eu/http://he-analytics.com
- 8. Adoption challenge Leadership forstrategic implementation & monitoring Tsai, Y. S., & Gasevic, D. (2017). Learning analytics in higher education – challenges and policies: a review of eight learning analytics policies. In Proceedings of the Seventh International Learning Analytics & Knowledge Conference (pp. 233-242).
- 9. Adoption challenge Equal engagementwith different stakeholders Tsai, Y. S., & Gasevic, D. (2017). Learning analytics in higher education – challenges and policies: a review of eight learning analytics policies. In Proceedings of the Seventh International Learning Analytics & Knowledge Conference (pp. 233-242).
- 10. Adoption challenge Training tocultivate data literacy among primary stakeholders Tsai, Y. S., & Gasevic, D. (2017). Learning analytics in higher education – challenges and policies: a review of eight learning analytics policies. In Proceedings of the Seventh International Learning Analytics & Knowledge Conference (pp. 233-242).
- 11. Adoption challenge Policies forlearning analytics practice Tsai, Y. S., & Gasevic, D. (2017). Learning analytics in higher education – challenges and policies: a review of eight learning analytics policies. In Proceedings of the Seventh International Learning Analytics & Knowledge Conference (pp. 233-242).
- 12. What’s necessary tomove forward?
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- 16. Inclusive adoption process Macfadyen,L., Dawson, S., Pardo, A., Gašević, D., (2014). The learning analytics imperative and the sociotechnical challenge: Policy for complex systems. Research & Practice in Assessment, 9(Winter 2014), 17-28.
- 17. Methodology Literature - Policy - Adoption Academicstaff - Survey - Focus groups Students - Survey - Focus groups Senior managers - Survey - Interviews Experts - Group concept mapping Policy framework Institutional policy/strategy Other stakeh. - Workshops - Committees
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- 21. Map political context Internaland external drivers for learning analytics adoption
- 22. Map political context Onesize fits all does not work in learning analytics
- 24. Map political context Opportunitiesto build learning analytics on existing projects/practice
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- 26. Identify key stakeholders Theproject sponsor on the senior management team
- 27. Students’ perspective Students expectthe use of their data provided ethics & privacy is assured
- 28. Students’ perspective But, theyare not sure if teaching staff will know to use learning analytics
- 29. Teaching staff’s perspective Concernedabout their workload
- 30. Contradictory views Students andteaching staff don’t share the same perspectives
- 31. Experts’ perspective Privacy andethics are most important but easy to implement
- 32. Experts’ perspective Purpose, ethics,and privacy need to be addressed first
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- 34. Identify desired behaviorchanges Identify areas where decisions will be informed by learning analytics
- 35. Identify desired behaviorchanges Define implications for primary users
- 36. Identify desired behaviorchanges Identification of possible inadvertent consequences
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- 38. Develop engagement strategy Alignmentof learning analytics with the wider institutional strategies
- 39. Develop engagement strategy Securefunding, establish a working group, and raise awareness
- 40. Develop engagement strategy Selectdata that will be fed back to users Avoid impression of surveillance Prevent data overload
- 41. Develop engagement strategy Howinterventions will be triggered and who is responsible?
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- 43. Analyze internal capacity Datastorage, disposal, and security evaluation
- 44. Analyze internal capacity Human,financial, and infrastructural capacity
- 45. Analyze internal capacity Whatabout empirical research about data privacy? Privacy paradox Barth, S., & de Jong, M. D. T. (2017). The privacy paradox – Investigating discrepancies between expressed privacy concerns and actual online behavior – A systematic literature review. Telematics and Informatics, 34(7), 1038-1058. https://doi.org/10.1016/j.tele.2017.04.013
- 46. Analyze internal capacity Whatdo we do with GDPR 2016/679?
- 47. Analyze internal capacity Evaluateinstitutional culture Trust in data Decision-making based on data Openness to changes and innovation
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- 49. Establish monitoring &learning frameworks Highly immature and few actual examples
- 50. Establish monitoring &learning frameworks Establish qualitative and quantitative indicators of success Stage the process to recognize institutional development
- 51. Establish monitoring &learning frameworks Seek feedback from primary users through various channels
- 52. Establish monitoring &learning frameworks Isolating the effect of learning analytics against other initiatives
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- 55. One size fitsall does not work in learning analytics
- 56. Critical role ofleadership for adoption of learning analytics
- 57. Promoting and supportinginnovation
- 58. Let’s get there!Towards policy for adoption of learning analytics Dragan Gašević @dgasevic Oct 26, 2017 LSAC 2017 Amsterdam, The Netherlands http://sheilaproject.eu/