Open AccessAdaptive Help System Based on Learners ‘Digital Traces’ and Learning Styles
Author(s) -
Bentaib Mohssine,
Mohammed Aitdaoud,
Abdelwahed Namir,
Mohammed Talbi
Publication year - 2021
Publication title -
international journal of emerging technologies in learning/international journal: emerging technologies in learning
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.454
H-Index - 24
eISSN - 1868-8799
pISSN - 1863-0383
DOI - 10.3991/ijet.v16i10.19839
Subject(s) - computer science , tutor , learning management , learning styles , focus (optics) , adaptive learning , e learning , multimedia , order (exchange) , educational technology , online learning , human–computer interaction , mathematics education , world wide web , the internet , psychology , physics , finance , optics , economics , programming language
Learning management system (LMS) such as Claroline, Ganesha, Chamilo, Moodle ..., are commonly and well used in e-education (e-learning). Most of theTechnology Enhanced Learning (TEL) focus on supporting teachers in the creation and organization of online courses. However, in general, they do not consider individual differences of each learner. In addition, they do not provide enough indicators which will help to track the learners.
In this paper, we investigate the benefits of integrating learning styles in the Web-based educational systems. Also we are interested in the use of interaction traces in order to address the lack of feedback between the learner and the teacher.
Generally, we aim to offer a tool that allows the tutor and the instructional designer to interpret learner courses, in order to provide help as needed for each individual.