The design and implementation of intelligent ubiquitous learning multi-agent context-aware system

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Published: Oct 25, 2023
DOI: https://doi.org/10.18844/wjet.v15i4.9091

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Manel Guettala
University of Biskra, Department of Computer Science, LINFI Laboratory, Biskra, Algeria
Samir Bourekkache
University of Biskra, Department of Computer Science, LINFI Laboratory, Biskra, Algeria
Okba kazar
University of Biskra, Department of Computer Science, LINFI Laboratory, Biskra, Algeria
Saad Harous
University of Sharjah, College of Computing and Informatics, Department of Computer Science, United Arab Emirates
Meftah Zouai
University of Biskra, Department of Computer Science, LINFI Laboratory, Biskra, Algeria

Abstract

Advances in technology in education have had a profound impact on Human-Computer Interaction. In this article, we explore how emerging technologies can make learning more affordable and accessible. This study aims to present a new approach to ubiquitous learning, which uses a multi-agent system to facilitate the learning process. To develop the multi-agent system, we used JADE-LEAP (Lightweight and Extensible Agent Platform). The application developed adapts several parameters according to the dynamic situation of the learner's contextual information. We used contextual technologies such as GPS sensors and 4G networks to obtain the dynamic situation. This application provides a set of functionalities that can be used by learners via devices anywhere and anytime and supports formal learning. Finally, to verify the usefulness of this application, we conducted a case study with different scenarios. Computer science students from various Algerian universities took part in the study.


Keywords: Artificial intelligence; educational technologies; personalized education; smart learning; ubiquitous computing.

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How to Cite
Guettala, M., Bourekkache, S., kazar, O., Harous, S. ., & Zouai, M. . (2023). The design and implementation of intelligent ubiquitous learning multi-agent context-aware system. World Journal on Educational Technology: Current Issues, 15(4), 429–450. https://doi.org/10.18844/wjet.v15i4.9091
Issue
Vol. 15 No. 4 (2023): October
Section
Articles
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Author Biographies

Manel Guettala, University of Biskra, Department of Computer Science, LINFI Laboratory, Biskra, Algeria

Manel GUETTALA graduated from the Department of Computer Science at the University Mohammed Khider Biskra, Algeria, with a master's degree in 2016. Currently, she is a second year PhD student at the LINFI laboratory. Her main research interests are focused on ubiquitous learning, multi-agent systems, context-Awar, IOT, Cloud computing and artificial intelligence. She is a member of the PRFU project of the LINFI lab.

Samir Bourekkache, University of Biskra, Department of Computer Science, LINFI Laboratory, Biskra, Algeria

Samir Bourekkache received his PhD degree from the Biskra University, Algeria in 2014. He is an Assistant Professor and a researcher at computer science department of Biskra University. He is interested to formal methods, semantic Web and approaches, artificial intelligence, MAS, adaptive e-learning techniques, mobile and ubiquitous learning, and security.

Okba kazar, University of Biskra, Department of Computer Science, LINFI Laboratory, Biskra, Algeria

Professor Okba KAZAR  He obtained his magister degree in 1997 from the Constantine University (Algeria) working on artificial intelligence field. He obtained his PhD degree from the same university in 2005. He is member of editorial board of some Journals. He is published more than 356 papers in international journals and communication in international conference.

He participated as session chair in international conferences, he also publish a book “Manual d’Intelligence artificielle” and five chapters book. Professor KAZAR is currently full professor at computer science department of the University of Biskra, which he contributed to its founding and director of the Smart computer science laboratory (LINFI, in addition, in Department of Information Systems and Security, College of Information Technology, UAE University, United Arab Emirate.

 His main research field is artificial intelligence; he is interested to the multi-agents systems and their applications, PHM in medical and industrial fields, ERP, advanced information systems, mobile and ubiquitous learning, and Web services.

Saad Harous, University of Sharjah, College of Computing and Informatics, Department of Computer Science, United Arab Emirates

Saad Harous obtained his PhD in Computer Science from Case Western Reserve University, Cleveland, OH, USA in 1991. He has more than 25 years of experience in teaching and research in three different countries: USA, Oman and UAE. He is currently an Associate Professor at the College of Information Technology, in United Arab Emirates University. His research interests include parallel and distributed computing, P2P delivery architectures, wireless networks, and the use of computers in education and processing Arabic language. He has published more than 120 journal and conference papers. He is an IEEE senior member.

Meftah Zouai, University of Biskra, Department of Computer Science, LINFI Laboratory, Biskra, Algeria

Meftah Zouai received his PhD degree from the Biskra University, Algeria in 2021. He is an Assistant Professor and a researcher at computer science department of Biskra University. He is interested to artificial intelligence, multi agent systems, IOT and Cloud computing, smart home.