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Communication Dans Un Congrès Année : 2017

Improving Feedbacks for ITS Assessment of Concept Maps

Résumé

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.

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Dates et versions

hal-02715052 , version 1 (01-06-2020)

Identifiants

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

Citer

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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