Learning Analytics Interpretation
Making data-driven decisions from LMS analytics
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My LMS shows the following data for my course on [topic]: completion rate [x]%, average score [y]%, average time on course [z] minutes, dropout point: [module]. Interpret what this data tells me about the course effectiveness, identify the most likely problems, and recommend 3 specific changes to investigate.
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Pour un diagnostic plus précis, appliquez ce prompt **module par module** plutôt que sur l’ensemble du cours. Cela isole les problèmes locaux de rétention. Croisez ensuite le temps passé avec la complexité du contenu (ex. : vidéos longues vs quiz) pour identifier les déséquilibres de charge cognitive.
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