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Communication dans un congrès

Improving Feedbacks for ITS Assessment of Concept Maps

Abstract :

Assessment in intelligent tutoring system (ITS) on concept maps (CM) matches an expert CM to a learner CM. Feedbacks are provided to the learner as semantic comments andvisual corrections. In this paper, quality of feedbacks is improved by using an ontological semantic for matching, formalized as a correlation feedback. Matchings are selected based on an overall assignment solution providing a suboptimal set of correlation feedbacks to the learner.

Type de document :
Communication dans un congrès
Liste complète des métadonnées
Contributeur : Okina Université d'Angers <>
Soumis le : lundi 1 juin 2020 - 19:56:24
Dernière modification le : mardi 29 septembre 2020 - 13:14:01


  • HAL Id : hal-02715052, version 1
  • OKINA : ua16550



Hugo Traverson, David Genest, Stephane Loiseau. Improving Feedbacks for ITS Assessment of Concept Maps. 30th International Florida Artificial Intelligence Research Society (FLAIRS 2017), 2017, Marco Island, United States. pp.146-151. ⟨hal-02715052⟩



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