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General Information
    • ISSN: 1793-8244
    • Frequency: Semiyearly
    • DOI: 10.18178/JACN
    • Editor-in-Chief: Dr. Ka Wai Gary Wong
    • Executive Editor: Ms. Nina Lee
    • Abstracting/ Indexing: EI (INSPEC, IET), Engineering & Technology Digital Library, DOAJ, Electronic Journals Library, Ulrich's Periodicals Directory, International Computer Science Digital Library (ICSDL), ProQuest, and Google Scholar.
    • E-mail: jacn@ejournal.net
Editor-in-chief
Dr. Ka Wai Gary Wong
Division of Information and Technology Studies, Faculty of Education, The University of Hong Kong.
It's a honor to serve as the editor-in-chief of JACN. I'll work together with the editors and reviewers to help the journal progress
JACN 2014 Vol.2(1): 40-43 ISSN: 1793-8244
DOI: 10.7763/JACN.2014.V2.79

Recommendation System Based on the Learners' Tracks in an Intelligent Tutoring System

Mohammed Kamal Rtili, Ali Dahmani, and Mohamed Khaldi
Abstract—Internet has become the primary source of information, that's why data sources double each year and users are faced with a large number of irrelevant answers returned by classical information retrieval tools. During the last ten years, recommendation systems have emerged as an effective means to reduce the complexity in the search for information, these recommendation systems are based on the learner profile. The learner profile is an important concept in the field of learning. Effective management of the learner profile is a good condition for better resource referral services. The objective of our research is to develop a recommendation system by classifying learners by their behavior to provide them with resources according to their needs.

Index Terms—Intelligent tutoring systems, learning model, multi-agent system, recommendation system.

Rtili Mohammed Kamal is with the LIROSA lab, Abdelmalek Essaadi University, Faculty of Sciences, av jbel oukaimden, res chaouen 4 N° 3, Tetouan, Morocco (e-mail: Rtili.kamal@gmail.com).
Dahmani Ali are with the LIROSA lab, Abdelmalek Essaadi University, Faculty of Sciences, B.P.2121, Mhanech II, Tetouan, Morocco (e-mail: alidahmani@hotmail.com, medkhaldi@yahoo.fr).

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Cite:Mohammed Kamal Rtili, Ali Dahmani, and Mohamed Khaldi, "Recommendation System Based on the Learners' Tracks in an Intelligent Tutoring System," Journal of Advances in Computer Networks vol. 2, no. 1, pp. 40-43, 2014.

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