Title: Adaptive tutoring system based on fuzzy logic

Authors: Soui Makram; Abed Mourad; Ghannem Adnane; Daouas Karim

Addresses: SOIE, Institute of Management of Tunis, 41, Rue de la liberté, Cité Bouchoucha, Bardo 2000, Tunisia ' Univ. Lille Nord de France, F-59000 Lille, UVHC, LAMIH, CNRS, UMR 8201, F-59313 Valenciennes, France ' Ahmed Bin Mohammed Military College, Doha, Qatar ' University of Manouba, Manouba, Tunisia

Abstract: In recent years, education method has changed and has become very innovative and modern. In this way, online adaptive learning seems to be a revolutionary competitive method. The advancement of computer and networking technologies is the key to this whole change from the classic education to the modern online adaptive education. The majority of E-learning systems are based on Boolean logic. In fact, the system considers that the learner like or not a course characteristic but the user can prefer gradually this parameter (low, medium, high). To this end, the proposed approach exploits semantic relations between data elements and learners' preferences to determine adapted UI components appropriate to learners' characteristics based on fuzzy logic. The results of evaluation confirm the efficiency of our technique with an average of more than 77% of precision and recall.

Keywords: adaptation; adaptive course; evaluation; multi-criteria decision making; intelligent tutoring system.

DOI: 10.1504/IJAIP.2020.107010

International Journal of Advanced Intelligence Paradigms, 2020 Vol.16 No.2, pp.132 - 144

Received: 26 May 2016
Accepted: 27 Aug 2016

Published online: 01 May 2020 *

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