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Sharing Data Sets to Personalize Learning

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Sharing Data Sets to Personalize Learning

  1. 1. Sharing Data Sets to Personalize Learning 16.09.2010 Round table at ICL conference 2010, Hasselt, Belgium Dr. Hendrik Drachsler Centre for Learning Sciences and Technology @ Open University of the Netherlands 1
  2. 2. What is dataTEL • dataTEL is a Theme Team funded by the STELLAR network of excellence. • It address 2 STELLAR Grand Challenges 1. Connecting Learner 2. Contextualisation. 2
  3. 3. dataTEL::Objective Standardise research on recommender systems in TEL Five core questions: 1.How can data sets be shared according to privacy and legal protection rights? 2.How to development a respective policy to use and share data sets? 3.How to pre-process data sets to make them suitable for other researchers? 4.How to define common evaluation criteria for TEL recommender systems? 5.How to develop overview methods to monitor the performance of TEL recommender systems on data sets? 3
  4. 4. Decade of change Graphic by Alex Guerten, 2008 4
  5. 5. G L O C A L I S AT I O N O B A L I S A T Graphic by Alex Guerten, 2008 I O N 4
  6. 6. G L O C A L I S AT I O N Graphic by Alex Guerten, 2008 4
  7. 7. G L O C A L I S AT I O N P R O D U C Graphic by Alex Guerten, 2008 E CONSUMERS S 4
  8. 8. G L O C A L I S AT I O N Graphic by Alex Guerten, 2008 PROSUMERS 4
  9. 9. The Glocalisation / Prosumers world by Zohar Manor-Abel http://flickr.com/photos/zoharma/97214235/sizes/l/ 5
  10. 10. Information emerge Johnson, S. (2001) 6
  11. 11. Information emerge Johnson, S. (2001) 6
  12. 12. Information emerge Johnson, S. (2001) 6
  13. 13. Information emerge Johnson, S. (2001) 6
  14. 14. Information emerge Johnson, S. (2001) 6
  15. 15. Information emerge Johnson, S. (2001) 6
  16. 16. Information emerge “We are leaving the age of information and entering the age of recommendation” Chris Anderson (2004) Johnson, S. (2001) 6
  17. 17. Free the data by Tom Raftery http://www.flickr.com/photos/traftery/4773457853/sizes/l 7
  18. 18. Why ? by Tom Raftery http://www.flickr.com/photos/traftery/4773457853/sizes/l 7
  19. 19. Because we will get new insights by Tom Raftery http://www.flickr.com/photos/traftery/4773457853/sizes/l 7
  20. 20. 8
  21. 21. 8
  22. 22. 8
  23. 23. 8
  24. 24. 8
  25. 25. 8
  26. 26. Application Areas by Ivan Plata, flickr 48 9
  27. 27. Technology- Enhanced Application Areas Learning by Ivan Plata, flickr 48 9
  28. 28. Technology- Enhanced Application Areas Science 2.0 Learning by Ivan Plata, flickr 48 9
  29. 29. Technology- Enhanced Application Areas Science 2.0 Learning by Ivan Plata, flickr 48 9 e-health
  30. 30. Technology- Enhanced Application Areas Science 2.0 Learning e-democracy / e-participation by Ivan Plata, flickr 48 9 e-health
  31. 31. Beyond 10
  32. 32. Beyond 10
  33. 33. Beyond 10
  34. 34. Beyond 10
  35. 35. Beyond O P E N I N N O V AT I O N 11
  36. 36. Beyondthe Beyond 11
  37. 37. Beyondthe Beyond O P E N I N N O V AT I O N 11
  38. 38. Beyondthe Beyond MASHUP TECHNOLOGY 11
  39. 39. Beyondthe Beyond RECOMMENDER SYSTEMS 11
  40. 40. Beyondthe Beyond P ROT E C T I O N R I G H T S 11
  41. 41. Open Innovation 12
  42. 42. Open Innovation R&D -> C&D 12
  43. 43. Open Innovation R&D -> C&D 12
  44. 44. Open Innovation R&D -> C&D 12
  45. 45. Mashups and Widgets 13
  46. 46. Mashups and Widgets 13
  47. 47. Recommender Systems 14
  48. 48. Recommender Systems 14
  49. 49. Recommender Systems 14
  50. 50. Protection Rights 15
  51. 51. Protection Rights 15
  52. 52. Protection Rights OVERSHARING 15
  53. 53. Open Innovation in Practice Are there any Twitter users? 16
  54. 54. Open Innovation in Practice Please use any Are there the Twitter users? following hashtag for the backchannel. 16
  55. 55. Open Innovation in Practice Please use the following hashtag for the backchannel. 16
  56. 56. Open Innovation in Practice Hashtag: #datatel Please use the following hashtag for the backchannel. 16
  57. 57. So what about you ... Five core questions: 1.How can data sets be shared according to privacy and legal protection rights? 2.How to development a respective policy to use and share data sets? 3.How to pre-process data sets to make them suitable for other researchers? 4.How to define common evaluation criteria for TEL recommender systems? 5.How to develop overview methods to monitor the performance of TEL recommender systems on data sets? 17
  58. 58. Join us for a Coffee ... http://www.teleurope.eu/pg/groups/9405/datatel/ 18
  59. 59. Many thanks for your interests This silde is available at: http://www.slideshare.com/Drachsler Email: hendrik.drachsler@ou.nl Skype: celstec-hendrik.drachsler Blogging at: http://www.drachsler.de Twittering at: http://twitter.com/HDrachsler 19

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