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Analyse de données informationnelles et réussite en première année universitaire

Abstract : A growing number of universities offer most varied types of courses, from traditional classroom to completely online courses. Besides, student personal characteristics such as learning strategies and learning style seem to be related to their academic success. Based on the concept of the digital ecosystem as a dynamic entity comprising students, teachers and online software environments (such as learning platforms) – our work being related but not limited to e-learning – we analyze informational data to establish links between these characteristics and student achievement over their first year at university, as they attended both classroom and online courses.
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Submitted on : Thursday, February 4, 2016 - 9:38:09 PM
Last modification on : Wednesday, February 10, 2021 - 10:10:02 AM
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  • HAL Id : hal-01268131, version 1


Soufiane Rouissi, Martine Mottet. Analyse de données informationnelles et réussite en première année universitaire. Les écosystèmes numériques et la démocratisation informationnelle : Intelligence collective, Développement durable, Interculturalité, Transfert de connaissances, Nov 2015, Schoelcher, France. ⟨hal-01268131⟩



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