Work

Learner Behavior Analysis on an Online Learning Platform

Year: 2012

Type: article

Abstract: This paper introduces the study of the learners' behavior on e-learning platform to create profiles that regroup learners according to their behavior on the platform. This system can be used by the learner-agent of an intelligent tutoring system (ITS). Thus, this system will allow us to better understand the learner in a virtual learning environment to improve the learning situation by placing the learner at the center of the learning process.

Source: International Journal of Emerging Technologies in Learning (iJET)

DOI: 10.3991/ijet.v7i2.1932

Authors: Ismail El Haddioui, Mohamed Khaldi

Institution: Abdelmalek Essaâdi University

Language: English

Topic: Intelligent Tutoring Systems and Adaptive Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: gold

Estimated APC paid: $280