Do-it-yourself student modelling
PEG 91 Selected papers of the sixth international annual conference of the PEG group on Knowledge based environments for teaching and learning
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Proceedings of the 14th International conference on Industrial and engineering applications of artificial intelligence and expert systems: engineering of intelligent systems
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Learners automated evaluation with the ODALA approach
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EC-TEL'07 Proceedings of the Second European conference on Technology Enhanced Learning: creating new learning experiences on a global scale
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In this paper, we present an approach to hierarchical knowledge representation for the student's evaluation in propositional logic. The hierarchical evaluation consists in assessing the student's state of knowledge at several levels of granularity. The relevance of the method is justified by the need for a precise and flexible diagnosis of the learner's skills in a given domain. For that purpose, we shall model the propagation of the evaluation from a specific level of knowledge content to more general levels, using Bayesian inferences and neural networks classifications.