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Research and Deployment of Analytics in Learning Settings
Research and Deployment of Analytics in Learning Settings
Research and Deployment of Analytics in Learning Settings
Research and Deployment of Analytics in Learning Settings
Research and Deployment of Analytics in Learning Settings
Research and Deployment of Analytics in Learning Settings
Research and Deployment of Analytics in Learning Settings
Research and Deployment of Analytics in Learning Settings
Research and Deployment of Analytics in Learning Settings
Research and Deployment of Analytics in Learning Settings
Research and Deployment of Analytics in Learning Settings
Research and Deployment of Analytics in Learning Settings
Research and Deployment of Analytics in Learning Settings
Research and Deployment of Analytics in Learning Settings
Research and Deployment of Analytics in Learning Settings
Research and Deployment of Analytics in Learning Settings
Research and Deployment of Analytics in Learning Settings
Research and Deployment of Analytics in Learning Settings
Research and Deployment of Analytics in Learning Settings
Research and Deployment of Analytics in Learning Settings
Research and Deployment of Analytics in Learning Settings
Research and Deployment of Analytics in Learning Settings
Research and Deployment of Analytics in Learning Settings
Research and Deployment of Analytics in Learning Settings
Research and Deployment of Analytics in Learning Settings
Research and Deployment of Analytics in Learning Settings
Research and Deployment of Analytics in Learning Settings
Research and Deployment of Analytics in Learning Settings
Research and Deployment of Analytics in Learning Settings
Research and Deployment of Analytics in Learning Settings
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Research and Deployment of Analytics in Learning Settings

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  • 1. Research and Deployment of Analytics in Learning Settings<br />Katrien Verbert<br />ARIADNE/K.U.Leuven<br />
  • 2. overview<br />visualizing activities for self-reflection and awareness<br />dataTEL initiative<br />collection and sharing of data<br />research on recommendation for learning<br />visualizing usage of widgets and services in PLEs<br />
  • 3. visualizing activities for self-reflection and awareness<br />
  • 4. problem<br />
  • 5. objectives<br />self-monitoring for learners<br />awareness for teachers<br />learning resource recommendation<br />
  • 6. student activity monitor<br />http://ariadne.cs.kuleuven.be/monitorwidget-lak11/<br />
  • 7. student activity monitor<br />
  • 8. student activity monitor<br />
  • 9. student activity monitor<br />
  • 10. data & deployments<br />Contextualized Attention Metadata (CAM) data<br />deployed in:<br />ROLE PLE<br />RWTH-Aachen engineering<br />Moodle<br />
  • 11. evaluation<br />usability and user satisfaction evaluation<br />12 CS students<br />2 evaluation sessions:<br />task based interview with think aloud (after 1 week of tracking)<br />user satisfaction (SUS & MSDT) (after 1 month)<br />
  • 12. <ul><li>in general, people understand the visualizations well!
  • 13. some issues were uncovered...</li></ul>learnability, errors & efficiency<br />Details in: <br />StenGovaerts, Katrien Verbert, JorisKlerkx, Erik Duval (2010). Visualizing Activities for Self-reflection and Awareness. Proceedings of the 9th International Conference on Web-based Learning, ICWL 2010 <br />
  • 14. user satisfaction<br />
  • 15. use it!?<br />we can put your data into the tool!<br />we would like to use your course for evaluation!<br />Questionnaire: http://bit.ly/laksurv<br />
  • 16. dataTEL initiative<br />
  • 17. What is dataTEL?<br />dataTEL is a Theme Team funded by the STELLAR network of excellence. <br />It addresses 2 STELLAR Grand Challenges <br />Connecting Learner <br />Contextualisation<br />
  • 18. dataTEL::Objective<br />Five core questions: <br />How can data sets be shared according to privacy and legal protection rights? <br />How to develop a respective policy to use and share data sets? <br />How to pre-process data sets to make them suitable for other researchers? <br />How to define common evaluation criteria for TEL recommender systems? <br />How to develop overview methods to monitor the performance of TEL recommender systems on data sets? <br />Standardize research on recommender systems in TEL <br />
  • 19. Free <br />the data<br />By HendrikDrachsler & Tom Raftery http://bit.ly/e8mLfY<br />
  • 20. Why?<br />By HendrikDrachsler & Tom Raftery http://bit.ly/e8mLfY<br />
  • 21. Because we <br />will get new <br />insights<br />By HendrikDrachsler & Tom Raftery http://bit.ly/e8mLfY<br />
  • 22.
  • 23. dataTEL challenge & dataTEL cafe event<br />a call for TEL datasets<br />several datasets submitted<br />http://bit.ly/ieqmWW<br />
  • 24.
  • 25. Recommendation for learning?<br />Users who bought the same product also bought product B and C<br />Details on Tuesday: <br />Katrien Verbert, HendrikDrachlser, Nikos Manouselis, RiinaVuorikari and Erik Duval<br />Dataset-driven Research to Improve TEL Recommender Systems <br />
  • 26. visualizing PLE usage<br />
  • 27. ROLE vision: empower learners to build their own PLE<br />Responsiveness (reflective support) <br />User-centred (operational support)<br />R. Klamma<br />
  • 28. first prototype<br />Username: role@test.com<br />Password: rolespace<br />http://graaasp.epfl.ch/role_project<br />
  • 29. Pre-analysis Layer<br />SOAP<br />request<br />REST<br />request<br />JSON<br />format<br />XML<br />format<br />CAM Storage Layer<br />CAM<br />Dashboard<br />
  • 30. 1<br />2<br />3<br />5<br />4<br />
  • 31. Thank You!Questions? <br />slides will appear on http://www.slideshare.net/kverbert<br />Email: ariadne@cs.kuleuven.be<br />

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