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