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ISSN: 2582-8266 (Online)  || UGC Compliant Journal || Google Indexed || Impact Factor: 9.48 || Crossref DOI

Fast Publication within 2 days || Low Article Processing charges || Peer reviewed and Referred Journal

Research and review articles are invited for publication in Volume 18, Issue 2 (February 2026).... Submit articles

Design and development of a computer system adaptative for the management of the learner profile

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  • Design and development of a computer system adaptative for the management of the learner profile

Omar ABDENNOUR *, Hassane KEMOUSS, Mohamed ERRADI and Mohamed KHALDI

Computer Science and University Pedagogical Engineering (S2IPU) Normal School of Tétouan, Abdel Malek Essaadi University – Morocco.

Review Article
 
World Journal of Advanced Engineering Technology and Sciences, 2022, 06(02), 038–052.
Article DOI: 10.30574/wjaets.2022.6.2.0081
DOI url: https://doi.org/10.30574/wjaets.2022.6.2.0081

Received on 22 May 2022; revised on 15 June 2022; accepted on 17 June 2022

In the educational context, an adaptive hypermedia will make it possible to better guide the learner in his learning, to offer him courses and educational content that are adapted and personalized, and to take into account his learning profile.
The idea developed in this article lies in the design and management of a valid learner model for all adaptive hypermedia systems (adaptive, macro-adaptive e-learning, ITS, AHES).
Through this work, we first offer an overview of the learner profile by citing the difference between the model and the profile of a learner. Next, we deal with the learner model in adaptive systems by identifying the different systems. Then, we process learner modeling based on learner model content, specific information domain, and independent information domain and learner model components. Finally, we propose the process of developing a learner model: Steps and techniques especially data collection, learner model initialization and learner model update.

Model and learner profile; Adaptive systems; Learner Modelling; E-learning; Artificial intelligence.

https://wjaets.com/sites/default/files/fulltext_pdf/WJAETS-2022-0081.pdf

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Omar ABDENNOUR, Hassane KEMOUSS, Mohamed ERRADI and Mohamed KHALDI. Design and development of a computer system adaptative for the management of the learner profile. World Journal of Advanced Engineering Technology and Sciences, 2022, 06(02), 038–052. Article DOI: https://doi.org/10.30574/wjaets.2022.6.2.0081

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