Collaborative Tutoring Architecture : A Generic Case Based Reasoning Multi-Agent
Mourad Ennaji, Hadhoum Boukachour, Mustapha Machkour · HAL (Le Centre pour la Communication Scientifique Directe) · 2021
This article is a response to the problem of learner desertion encountered by e-learning platforms. We propose to equip the Learning Management System with a generic intelligent tutoring module. This module is based on the combination of Case Based Reasoning (CBR) and Multi-Agent Systems (MAS). The main advantage of this generic module is to offer the learner individualized follow-up and to prevent dropping out of school. Personalized monitoring is carried out by combining machine tutoring and human tutoring. We describe how the combination of CBR and MAS allows the adaptation of the learning process according to the profile of the student.