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Using Production to Assess Learning: An ILE That Fosters Self-Regulated Learning

Abstract : Current systems aiming at engaging students in Self-Regulated Learning processes are often prompt-based and domain-dependent. Such metacognitive prompts are either difficult to interpret for novices or ignored by experts. Although domain-dependence per se cannot be considered as a drawback, it is often due to a rigid structure which prevents from moving to another domain. We detail here a system that addresses these limitations. This two-loop system provides texts to be learned through summarization. The first loop is called Reading, in which the student formulates a query and is provided with texts related to this query. Then the student judges whether each text presented could be summarized. The second loop is called Writing, in which the student writes out a summary of the texts, then gets an assessment from the system. In order to automatically perform various comprehension-centered tasks (i.e., texts that match queries, assessment of summaries), our system uses LSA (Latent Semantic Analysis), a tool devised for the semantic comparison of texts.
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Contributor : Philippe Dessus Connect in order to contact the contributor
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Philippe Dessus, Benoit Lemaire. Using Production to Assess Learning: An ILE That Fosters Self-Regulated Learning. 6th International Conference on Intelligent Tutoring Systems (ITS 2002) , Jun 2002, Biarritz, France. pp.772-781, ⟨10.1007/3-540-47987-2_77⟩. ⟨hal-01538301⟩



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