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Analyse de fichiers de traces d'étudiants : aspects didactiques

Abstract : Users of a learning platforms are usually required to log in, that provides a great deal of data. The general question studied here is: how to exploit this data to help the different actors involved? At first let us introduce the platform and the experiments we conducted. Then we use a didactic model to produce a qualitative analysis from the quantitative data collected. A simple exercise classification emerges from the construction of two indicators. It is consistent with the different experiments and relevant to the a priori didactic analysis. That allows us to organize results and perspectives according to the exercise classification and adapted to each role : designer, didactic researcher, and teacher.
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Submitted on : Friday, November 23, 2007 - 8:46:16 AM
Last modification on : Saturday, June 25, 2022 - 8:47:42 PM
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  • HAL Id : hal-00190432, version 1



Fabrice Vandebrouck, Claire Cazes. Analyse de fichiers de traces d'étudiants : aspects didactiques. STICEF (Sciences et Technologies de l'Information et de la Communication pour l'Éducation et la Formation), ATIEF, 2005, Volume 12, pp.1-33. ⟨hal-00190432⟩



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