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Learning dashboards
This document discusses learning dashboards and analytics. It introduces learning analytics as collecting learner traces to improve learning. Dashboards focus on providing awareness to learners about their own activities and progress. They aim to help learners reflect and make sense of their data, which can lead to behavior change. Effective dashboards consider what types of data to present, such as time spent, resource use, communication, and artifacts. They also consider how to visualize data for perceived usefulness and findings. Issues include data architecture, interoperability and privacy.
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Learning dashboards
- 1. Learning Dashboards I-KNOW Graz, Austria,5 September 2012 Erik Duval http://erikduval.wordpress.com @ErikDuval 1
- 2. Thanks - merci- gracias - dank u - köszönöm - ありがとうございます Vielen Dank MANY thanks for the invitation ! 2
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- 6. heard of learninganalytics? 6
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- 12. Learning Analytics isabout collecting traces that learners leave behind and using those traces to improve learning. http://erikduval.wordpress.com/2012/01/30/learning-analytics-and-educational-data-mining/ 12
- 14. at run-time, not aposteriori 14
- 15. we: focus onlearner 15
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- 18. http://yaymicro.com/stock-image/old-classic-car-dashboard/209874 http://hefel.wordpress.com/2008/01/13/information-design-dashboards-and-balanced-scorecards/
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- 37. awareness data (self) reflection questions sense making answers behaviour impact change
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- 40. Duval, Erik; Klerkx,Joris;Verbert, Katrien; Nagel, Till; Govaerts, Sten; Parra Chico, Gonzalo Alberto; Santos Odriozola, Jose Luis;Vandeputte, Bram. Learning dashboards & learnscapes, Workshop at CHI2012: ACM SIGCHI Conference on Human Factors in Computing Systems,Vancouver, Canada, 5-10 May 2012, Educational Interfaces, Software, and Technology. Santos Odriozola, Jose Luis; Govaerts, Sten;Verbert, Katrien; Duval, Erik. Goal-oriented visualizations of activity tracking: a case study with engineering students, LAK12: International Conference on Learning Analytics and Knowledge,Vancouver, Canada, 29 April - 2 May 2012, ACM 40
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- 42. Govaerts, Sten;Verbert, Katrien,Duval, Erik; Pardo, Abelardo, The Student Activity Meter for Awareness and Self-reflection. Proceedings of CHI Conference on Human Factors in Computing Systems, 2012, Austin, Texas, ACM. 42
- 43. findings 43
- 44. what kind ofdata? • effort: time spent, ... • resource use: oer, url, ... • communication: social media, ... • artefacts: programming errors, ... • quality: retweet, comment, rating, ...
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- 48. artefacts Text http://code.google.com/p/rabbit-eclipse/
- 51. 5 perceived usefulness 4 Score% 3 2 1 #lak% 1 #uc3m% 2 #cgiar% #peno3% 3 4 #thesis% #thesis% #chikul% 5 6 7 supervisors% students% teachers% students%
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- 55. architecture & interoperability 55
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- 61. What I do... tellstudents what, why and for whom 61
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- 63. Also: you? 63
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- 67. What do you think? http://erikduval.wordpress.com/ 67
- 68. Learning Research Dashboards I-KNOW Graz, Austria,5 September 2012 Erik Duval http://erikduval.wordpress.com @ErikDuval 68
- 69. Questions? http://erikduval.wordpress.com/ twitter: @ErikDuval 69