A Tool Set Combining Learning Styles Prediction, a Blended Learning Methodology and Facilitator Guidebooks – Towards a Best Mix in Blended Learning

Sabine Moebs 1 Christophe Piombo 2 Hadj Batatia 2 Stephan Weibelzahl 1
1 School of Informatics
2 IRIT - Institut de recherche en informatique de Toulouse
Abstract : One of the challenges in the development in blended learning is to facilitate the individual learning styles of the learners. The alignment of a learning styles assessment with a learning methodology, a mapping between learning styles and social media, recommendations in a guidebook for facilitators and a checklist provide a tool set for a sustainable approach for a responsive learning environment. This paper analyzes how the different approaches, methods and studies interact to form an overall tool set to develop a learnercentered mix in blended learning. It proposes a tool set to adapt blended learning to the learning styles of the learners.
Keywords : bayesian networks metadatas index learning style (ILS)
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Communication dans un congrès
Michael E. Auer. Conference ICL2007, September 26 -28, 2007, 2007, Villach, Austria. Kassel University Press, 8 p., 2007
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Sabine Moebs, Christophe Piombo, Hadj Batatia, Stephan Weibelzahl. A Tool Set Combining Learning Styles Prediction, a Blended Learning Methodology and Facilitator Guidebooks – Towards a Best Mix in Blended Learning. Michael E. Auer. Conference ICL2007, September 26 -28, 2007, 2007, Villach, Austria. Kassel University Press, 8 p., 2007. 〈hal-00197294〉

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