Learning Analytics am Beispiel des Mathetrainers
•
1 gostou•1,339 visualizações
Presentation at Campus Innovation Conference, Hamburg, Germany, 2012
Recomendados
Recomendados
Mais conteúdo relacionado
Semelhante a Learning Analytics am Beispiel des Mathetrainers
Semelhante a Learning Analytics am Beispiel des Mathetrainers (20)
Mais de Martin Ebner
Mais de Martin Ebner (20)
Learning Analytics am Beispiel des Mathetrainers
- 1. Learning Analytics am Beispiel des Mathetrainers Martin Ebner
- 2. Horizon Report (2007 - 2012) http://wp.nmc.org/horizon2011/
- 3. Educational Data Mining Educationa data mining (EDM) is a field that exploits statistical, machine-learning, and data-mining (DM) algorithms over the different types of educational data. Its main objective is to analyze these types of data in order to resolve educational research issues. Romero, C. (2010) Educational Data Mining: A Review of the State of the Art - in: Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on, 40, p. 601 - 618
- 4. ... there are 11 fields • Analysis and Visualization of Data, • Providing Feedback for Supporting Instructors • Recommendations for Students • Predicting Student’s Performance • Student Modeling • Detecting Undesirable Student Behaviors • Grouping Students • Social Network Analysis • Developing Concept Maps • Constructing Courseware • Planning and Scheduling Romero, C. (2010) Educational Data Mining: A Review of the State of the Art - in: Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on, 40, p. 601 - 618
- 5. Learning Analytics Learning Analytics is the use of intelligent data, learner-produced data, and analysis models to discover information and social connections, and to predict and advise on learning. George Siemens (2010) http://www.elearnspace.org/blog/2010/08/25/what-are- learning-analytics
- 6. Learning Analytics Learning Analytics is about collecting traces that learners leave behind and using those traces to improve learning. Erik Duval (2012) http://www.slideshare.net/erik.duval/learning- analytics-13050389
- 8. Potenzial ist heute noch schwer abschätzbar, da mit zunehmender Datenmenge gänzlich neue Sichtweisen gewonnen werden können. ABER ... Martin Ebner & Martin Schön (2012)
- 9. Peter Purgathofer (2010), Gesellschaftliche Aspekte der Informationstechnologie
- 10. Peter Purgathofer (2010), Gesellschaftliche Aspekte der Informationstechnologie
- 11. Interpretation Information http://www.flickr.com/photos/auuep/3357824170
- 12. Beispiel ... ein scheinbar simples Problem ...
- 13. Beispiel ... das kleine EinmalEins für Volksschulkinder ...
- 18. Funktionsweise des Algorithmus ! http://einmaleins.tugraz.at
- 19. Analyse • Beobachtungs zeitraum: 1,5 Monate • n = 230 • > 750 Sessions • > 28.000 generierte Beispiele • > 6 Minuten / Session im Schnitt ! http://einmaleins.tugraz.at
- 20. Analyse ! ! http://einmaleins.tugraz.at
- 21. Analyse - Alle BenutzerInnen ! http://einmaleins.tugraz.at
- 22. Analyse - Alle BenutzerInnen ! http://einmaleins.tugraz.at
- 23. Detailanalyse ... Lernfortschritt ! ! ... Lernrate http://mathe.tugraz.at
- 25. http://einmaleins.tugraz.at http://einmaleins.tugraz.at
- 26. http://einmaleins.tugraz.at http://einmaleins.tugraz.at http://einmaleins.tugraz.at
- 32. Learning Analytics / PLE (TU Graz) http://my.tugraz.at
- 33. Learning Analytics ist die Interpretation von lernerspezifischen Daten um den individuellen Lernprozess gezielt zu verbessern. Martin Ebner & Martin Schön (2012)
- 34. 1x1 Trainer in Zahlen (9 Monate) > 1000 Kinder > 60.000 Rechnungen > 60 Rechnungen / Kind http://mathe.tugraz.at
- 35. Freie Bildungs- materialien http://www.bims.com http://www.flickr.com/photos/ell-r-brown/3912248265
- 37. Slides available at: http://elearningblog.tugraz.at SOCIAL LEARNING Computer and Information Services Graz University of Technology Graz University of Technology Martin Ebner martin.ebner@tugraz.at mebner http://elearning.tugraz.at