Apport des Systèmes Multi-Agent et de la logique floue pour l'assistance au tuteur dans une communauté d'apprentissage en ligne

Abstract : The growing importance of online training has put emphasis on the role of remote tutoring. A whole new area of research, dedicated to environment for human learning (EHL), is emerging. We are concerned with this field. More specifically, we will focus on the monitoring of learners.The instrumentation and observation of learners activities by exploiting interaction traces in the EHL and the development of indicators can help tutors to monitor activities of learners and support them in their collaborative learning process. Indeed, in a learning situation, the teacher needs to observe the behavior of learners in order to build an idea about their involvement, preferences and learning styles so that he can adapt the proposed activities. As part of the automatic analysis of collaborative learner¿s activities, we describe a multi agent approach for supporting learning activities in a Virtual Learning Environment context. In order to assist teachers who monitor learning processes, viewed as a specific type of collaboration, the proposed system estimates a behavioral (sociological) profile for each student. This estimation is based on automatic analysis of students textual asynchronous conversations. The determined profiles are proposed to the teacher and may provide assistance toteacher during tutoring tasks. The system was experimented with students of the master "software quality" of the Ibn Tofail University. The results obtained show that the proposed approach is effective and gives satisfactory results.
Document type :
Theses
Complete list of metadatas

Cited literature [108 references]  Display  Hide  Download

https://tel.archives-ouvertes.fr/tel-01874558
Contributor : Abes Star <>
Submitted on : Friday, September 14, 2018 - 2:05:41 PM
Last modification on : Friday, December 7, 2018 - 4:48:04 PM
Long-term archiving on : Saturday, December 15, 2018 - 2:44:40 PM

File

These_CHAABI_UTBM.pdf
Version validated by the jury (STAR)

Identifiers

  • HAL Id : tel-01874558, version 1

Citation

Youness Chaabi. Apport des Systèmes Multi-Agent et de la logique floue pour l'assistance au tuteur dans une communauté d'apprentissage en ligne. Interface homme-machine [cs.HC]. Université de Technologie de Belfort-Montbeliard, 2016. Français. ⟨NNT : 2016BELF0293⟩. ⟨tel-01874558⟩

Share

Metrics

Record views

279

Files downloads

116