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2013 07 05 (uc3m) lasi emadrid cdk uc3m introduccion

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2013 07 05 …

2013 07 05
(uc3m)
lasi
emadrid
cdk
uc3m
introduccion

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  • 1. LASI-Spain eMadrid Carlos Delgado Kloos Univ. Carlos III de Madrid, www.it.uc3m.es Red eMadrid, www.emadridnet.org
  • 2. LASI SOLAR: Society for Learning Analytics Research Learning Analytics Summer Institute  Stanford U, 1-5 July 2013  LASI-local events LASI-Spain eMadrid, 2013-07-05 2
  • 3. LASI-local Local events around the world:  Aalborg (.dk)  Amsterdam (.nl)  Boston (.us)  Edinburgh (.uk)  Granada (.es)  Hong Kong (.hk)  Lyon (.fr)  Madrid (.es)  Pretoria (.za) LASI-Spain eMadrid, 2013-07-05 3
  • 4. LASI-Spain eMadrid (ES) Organized by eMadrid at UC3M  Morning Session: Stanford U presentations from previous days  Afternoon Session: Local presentations at UC3M LASI-Spain eMadrid, 2013-07-05 4
  • 5. LASI-Spain eMadrid (ES) LASI-Spain eMadrid, 2013-07-05 5
  • 6. LASI-Spain eMadrid (ES) LASI-Spain eMadrid, 2013-07-05 6
  • 7. LASI-Spain eMadrid, 2013-07-05 7 What are they thinking about? How boring! I don't get anything! How cool! Are they following? We'll find out at the exam
  • 8. Fast Feedback Loop Waiting until the exam is too late Fast feedback cycle important for learning Remediation when it most effective Probe information during the learning process Adapt teaching to learning LASI-Spain eMadrid, 2013-07-05 8
  • 9. (Big) Data Higher  number of people (MOOCs)  number of variables (pervasive technologies)  number of time points LASI-Spain eMadrid, 2013-07-05 9
  • 10. Learning Interactions in the Physical World LASI-Spain eMadrid, 2013-07-05 10 prof student student colab lecture tutor read practice exam practiceassess
  • 11. Analytics LASI-Spain eMadrid, 2013-07-05 11
  • 12. No Data LASI-Spain eMadrid, 2013-07-05 12 student read
  • 13. Data LASI-Spain eMadrid, 2013-07-05 13 student read data
  • 14. Data LASI-Spain eMadrid, 2013-07-05 14 student read data
  • 15. Learning Interactions in the Digital World LASI-Spain eMadrid, 2013-07-05 15 prof student student colab read lecture practice tutor exam practiceassess
  • 16. Analytics LASI-Spain eMadrid, 2013-07-05 16 data info action visualization
  • 17. Data What kind?  Clicks  Times  Users  Activity  Advance  Accomplishment of exercises  Use of hints  Social behaviour LASI-Spain eMadrid, 2013-07-05 17
  • 18. Information What kind?  Present status  Prediction about the future  Plans for changing the future LASI-Spain eMadrid, 2013-07-05 18
  • 19. Information For whom?  Learner (pilot)  Teacher (air traffic controller)  Instructional designer  Curriculum planner  Institution  Country authority  Employer  Tool developer LASI-Spain eMadrid, 2013-07-05 19
  • 20. Processing Classical test theory Item response theory Aggregation Averages Classifiers Markov models … LASI-Spain eMadrid, 2013-07-05 20
  • 21. Visualization a LASI-Spain eMadrid, 2013-07-05 21
  • 22. Action Repetition Reinforcement Remediation Rescheduling Social interaction … LASI-Spain eMadrid, 2013-07-05 22
  • 23. Issues Privacy Causality LASI-Spain eMadrid, 2013-07-05 23 !
  • 24. Privacy By capturing data from persons, one has to be very careful with how and what data is captured, and how it is used, etc. The correct legal measures have to be taken Who owns the data?  When it is raw?  When it is processed? LASI-Spain eMadrid, 2013-07-05 24
  • 25. Causality The brain is a big unknown We know very little about how learning works By correlating a few data, we are just scratching the surface Learning Analytics is no silver bullet LASI-Spain eMadrid, 2013-07-05 25
  • 26. Conclusion Turn the learning process into a controlled process, as many other processes (business, health, web) Relevant are speed of feedback and amount of data LASI-Spain eMadrid, 2013-07-05 26
  • 27. Talks (be punctual!) 15:15-15:45: Á. Serrano (UCM): "Game analytics and educational videogames: Can we know how many students learn while playing videogames? " 15:45-16:15: R. Crespo, I. Gutiérrez (UC3M): "Learning analytics support for just-in-time teaching" 16:15-16:45: P. Muñoz Merino (UC3M): "Evaluation in e-learning platforms using learning analytics" 16:45-17:00: Break LASI-Spain eMadrid, 2013-07-05 27
  • 28. Talks (be punctual!) 17:00-17:30: G. Robles, J. González Barahona (URJC): "Lessons learned from ten years of software analytics that could be helpful for learning analytics" 17:30-18:00: J. García Zubía (U Deusto): "Learning analytics and remote experimentation: First experiences with Weblab-Deusto" 18:00-18:45: Live from Stanford U: Plenary: "Chief Data Scientists" Chair: Dragan Gasevic (Athabasca U) Speaker: Piotr Mitros (edX) LASI-Spain eMadrid, 2013-07-05 28
  • 29. LASI-Spain eMadrid, 2013-07-05 29

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