Adaptive Help System Based on Learners ‘Digital Traces’ and Learning Styles

Authors

  • Bentaib Mohssine Faculty of Sciences Ben M'Sik, HASSAN II University Casablanca Morocco https://orcid.org/0000-0001-6683-1200
  • Aitdaoud Mohammed Faculty of Sciences Ben M'Sik, HASSAN II University Casablanca Morocco
  • Namir Abdelwahed Faculty of Sciences Ben M'Sik, HASSAN II University Casablanca Morocco
  • Talbi Mohammed Faculty of Sciences Ben M'Sik, HASSAN II University Casablanca Morocco

DOI:

https://doi.org/10.3991/ijet.v16i10.19839

Keywords:

TEL, data mining, Learning Styles, traces interactions, user profile.

Abstract


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.

Author Biographies

Bentaib Mohssine, Faculty of Sciences Ben M'Sik, HASSAN II University Casablanca Morocco

1. Laboratory of Technology of Information and Modeling, Faculty of Sciences Ben M'Sik Hassan II University Casablanca, Morocco 2. Observatory of research in didactics and university teaching (ORDIPU), Hassan II University Casablanca, Morocco

Aitdaoud Mohammed, Faculty of Sciences Ben M'Sik, HASSAN II University Casablanca Morocco

Observatory of research in didactics and university teaching (ORDIPU), Hassan II University Casablanca, Morocco

Namir Abdelwahed, Faculty of Sciences Ben M'Sik, HASSAN II University Casablanca Morocco

Laboratory of Technology of Information and Modeling, Faculty of Sciences Ben M'Sik Hassan II University Casablanca, Morocco

Talbi Mohammed, Faculty of Sciences Ben M'Sik, HASSAN II University Casablanca Morocco

Observatory of research in didactics and university teaching (ORDIPU), Hassan II University Casablanca, Morocco

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Published

2021-05-25

How to Cite

Mohssine, B., Mohammed, A., Abdelwahed, N., & Mohammed, T. (2021). Adaptive Help System Based on Learners ‘Digital Traces’ and Learning Styles. International Journal of Emerging Technologies in Learning (iJET), 16(10), pp. 288–294. https://doi.org/10.3991/ijet.v16i10.19839

Issue

Vol. 16 No. 10 (2021)

Section

Short Papers

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