Improving Feedbacks for ITS Assessment of Concept Maps

TitreImproving Feedbacks for ITS Assessment of Concept Maps
Type de publicationCommunication
TypeCommunication avec actes dans un congrès
Année2017
LangueAnglais
Date du colloque22-24/05/2017
Titre du colloque30th International Florida Artificial Intelligence Research Society (FLAIRS 2017)
Titre des actes ou de la revueProceedings of the Thirtieth Florida Artificial Intelligence Research Society Conference
Pagination146-151
AuteurTraverson, Hugo , Genest, David , Loiseau, Stéphane
PaysEtats-Unis
EditeurAAAI Press
VilleMarco Island
ISBN978-1-57735-787-2
Mots-clésConcept Map, Feedbacks, Intelligent Tutoring System, ontology
Résumé en anglais

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.

URL de la noticehttp://okina.univ-angers.fr/publications/ua16550
Lien vers le document en ligne

https://www.aaai.org/Library/FLAIRS/flairs17contents.php