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Communication Dans Un Congrès Année : 2013

Assistance in Building Student Models using Knowledge Representation and Machine Learning

Résumé

We propose a method and a first authoring tool to assist the design and implementation of diagnostic techniques. This method is independent from the domain and allows building more than one technique at once. The method is based on knowledge representation and a semi-automatic machine learning algorithm. We tested the method in two domains, surgery and reading English. Techniques built with our method beat the majority class in terms of accuracy.

Dates et versions

hal-00871569 , version 1 (15-10-2013)

Identifiants

Citer

Sébastien Lallé, Vanda Luengo, Nathalie Guin. Assistance in Building Student Models using Knowledge Representation and Machine Learning. AIED 2013 - 16th International Conference on Artificial Intelligence in Education, Jul 2013, Memphis, TN, United States. pp.754-757, ⟨10.1007/978-3-642-39112-5_105⟩. ⟨hal-00871569⟩
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