Research Article
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Dynamic Multi Agent System for Revising E-Learning Content Materia

Year 2019, Volume: 20 Issue: 1, 131 - 144, 01.01.2019
https://doi.org/10.17718/tojde.522434

Abstract

The growth of the information and communication technologies has led to the appearance of new concepts, approach and disciplines. For learners, an e-learning system constitutes rich window to the knowledge. It presents a varied training, including different content material format (video, text, interactive content...) and diverse methods. In order to keep learners’ attention, e-learning system must provide good content's quality, including revised material and updated methods. In this perspective, we have implemented multi-agent system composed of three sort of agents ensuring a permanent revision to the e-learning content. The first one is called Checker Agent (CA). It checks the educational resources, and detects the outdated ones so as to be treated. The second agent is named Search Agent (SA). The task of this one is to look for recent contents and new teaching methods. Whereas, the third agent is called Updater Agent (UA). Its function consists on inserting the retrieved updates corresponding to each content. The communication between these agents is ensured by an XML files. In this paper, we have proposed an implementation of the first part of our system. Namely, the checking process of e-learning curriculum by implementing the CA algorithm. And the integration process by implementing the UA algorithm. As result, the tests and experimentations done in this context have proved the effectiveness of the proposed solution, and revealed positive results both in term of learning process and learners’ feedback.

References

  • Anghour , A., & Lamolle, M. (2017). Designing and Managing a Real-Time Collaborative Learning Paths by a Multi-agents Platform. Springer: Recent Advances in Information Systems and Technologies. WorldCIST 2017. Advances in Intelligent Systems and Computing, 571. Méndez, N. D., Marín, P. A., & Carranza, D. A. (2018). Intelligent Personal Assistant for Educational Material Recommendation Based on CBR. Springer:Personal Assistants: Emerging Computational Technologies. Intelligent Systems Reference Library, 132, 113-131. Song , D., Oh , E. Y., & Rice, M. (2017). Interacting with a conversational agent system for educational purposes in online courses. 10th International Conference on Human System Interactions (HSI). Ulsan, South Korea : the IEEE Digital Library Explorer . Yılmaz, F. G., Olpak, Y. Z., & Yılmaz, R. (2017). The Effect of the Metacognitive Support via Pedagogical Agent on Self-Regulation Skills. Journal of Educational Computing Research, 56(2), 159-180. Agarwal, N., & Ahmed, F. (2017, January). Developing collective learning extension for rapidly evolving information system courses. Springer:Education and Information Technologies, 22(1), 7–37. Arif, M., Illahi, M., Karim, A., Shamshirband, S., Alam, K. A., Farid, S., . . . Balas, V. E. (2014). An architecture of agent-based multi-layer interactive e-learning and e-testing platform. Springer Science+Business Media , 1-24. Arsham , H. (2014, March). Interactive Education: Impact of the Internet on Learning & Teaching. Retrieved Febraury 2018, from http://home.ubalt.edu: http://home.ubalt.edu/ntsbarsh/interactive.htm Bhaskaran , S., & Swaminathan, P. (2014). Intelligent Adaptive E-learning Model for Learning Management System. Research Journal of Applied Sciences, Engineering and Technology, 16(7), 3298-3303. Bourbia, R., Seridi , A., Hadjeris , M., & Seridi, H. (2012). An Adaptive Learning Based on Ant Colony and Collaborative Filtering. Proceedings of the World Congress on Engineering, 2, 1-3. Carliner, S., & Shank, P. (2008). The e-Learning Handbook: Past Promises, Present Challenges. San Francisco: Wiley. Chehbi, S., Elouahbi, R., & El khoukhi, F. (2016). Tracking of learners' motivation and involvement in moodle. The International Journal of Multi-disciplinary Sciences, 2(2), 22-28. Cojocariiu, A., & Stanciiu, C. O. (2009). XML Technologies in Computer Assisted Learning and Testing Systems. Annals. Computer Science Series, 7(1), 89-94. Daomin, X. (2013). Multi-Agent Based e-Learning Intelligent Tutoring System for Supporting Adaptive Learning. Fourth International Conference on Intelligent Systems Design and Engineering Applications (pp. 393-397). IEEE Xplore Digital Library. Dharshini, A. P., Chandrakumarmangalam, S., & Arthi, G. (2015). Journal Applied Mathematics and Computation, 263 (C), 332-341 . Dolen, K., & Aberšek, B. (2015). TECH8 intelligent and adaptive e-learning system: Integration into Technology and Science classrooms in lower secondary schools. Elsevier:Computers & Education, 82, 354-365. Elghibari, F., Elouahbi, R., & El Khoukhi, F. (2015). modèle d’un processus d'apprentissage adapté aux évolutions cognitives du profil de l'apprenant. 1ère Edition du Workshop International sur les Approches Pédagogiques & E-Learning, (pp. 1-3). Fez, Morocco. Elghibari, F., Elouahbi, R., & El Khoukhi, F. (2017). An Automatic Updating Process to Control The E-learning Courseware. International Journal on Advanced Science, Engineering and Information Technology, 7(2), 546-551. Elghibari, F., Elouahbi, R., El Khoukhi, F., Ezzahri, L., & Amali, S. (2016). the 15th International Conference onIntelligent model for measuring learners' satisfaction towards new contents. Information Technology Based Higher Education and Training (ITHET) (pp. 1-5). Istanbul, Turkey: IEEE Xplore Digital Library. Elghibari, F., Elouahbi, R., Elkhoukhi, F., Chehbi, S., & Kamsa, I. (2015). Intelligent e-learning system model for maintenance of updates courses. 15th International Conference on Information Technology Based Higher Education and Training. Lisbon, Portugal: IEEE. Elouahbi, R. (2005). Mdélisation et mise en œuvre du séquencemet dans le système de télé-enseignement SMART-Learning via le graphe pédagogique SMART GRAPH . Elouahbi, R., Bouzidi, D., Abghour, N., & Nassir, A. M. (2012). A flexible approach to modelling adaptive course sequencing based on graphs implemented using XLink. International Journal of Advanced Computer Science and Applications (IJACSA), 3(1), 1-9. Giuffra , P., Cecilia , E., & Silveira , A. R. (2013). A multi-agent system model to integrate virtual learning enviromnents and intelligent tutoring system. International Journal of Artificial Intelligence and Interactive Multimedia, 2(1), 51-58. Gregg, D. G. (2007). E-learning agents. The Learning Organization, 14(4), 300-312. Hai-Jew, S. (2010, December 15). An Instructional Design Approach to Updating an Online Course Curriculum. Retrieved Fevrier 12, 2018, from https://er.educause.edu: https://er.educause.edu/articles/2010/12/an-instructional-design-approach-to-updating-an-online-course-curriculum Kamsa, I., Elghibari, F., Elouahbi, R., Chehbi, S., & El Khoukhi, F. (2015). Learning time planning in a distance learning system using intelligent agents. 14th Information Technology Based Higher Education and Training (ITHET). Lisbon, Portugal: IEEE. Kamsa, I., Elouahbi, R., & El khoukhi, F. (2017). Intelligent Agents for Dynamic Optimization of Learner Performances in an Online System. Journal of Information Technology Education: Research (JITE:Research), 16, 31-45. Kamsa, I., Elouahbi, R., El khoukhi, F., Karite, T., & Zouiten, H. (2016). Optimizing collaborative learning path by ant's optimization technique in e-learning system. The 15th International Conference on Information Technology Based Higher Education and Training (ITHET). Istanbul, Turkey: IEEE Explore Digital Library. Kautsar, I. A., Kubota, S.-I., Musashi, Y., & Sugitani, K. (2013). Moodle xml to IMS QTI assessment test portability on learning management system. The Proceedings of The 7th ICTS, (pp. 209-214). Bali. Lin, F., Holt, P., Leung, S., & Li, Q. (2006). A multiagent and service-oriented. Int. J. Cont. Engineering Education and Lifelong Learning, 16, 77-91. Ng, R. Y.-K., Lam, R. Y.-S., Ng, K. K., & Lai, I. K. (2017). Identifying the Needs of Flexible and Technology Enhanced Learning in Vocational and Professional Education and Training’s (VPET) Workplaces. Springer:New Ecology for Education — Communication X Learning, 107-117. Russell , S., & Norvig, P. (2009). Artificial Intelligence: A Modern Approach. Library of Congress Cataloging-in-Publication Data. Sweta , S., & Lal, K. (2017). Personalized Adaptive Learner Model in E-Learning System Using FCM and Fuzzy Inference System. Springer: International Journal of Fuzzy Systems, 19(4), 1249–1260. Tarasowa, D., Khalili, A., & Auer, S. (2015). CrowdLearn: Crowd-sourcing the Creation of Highly-structured E-Learning Content. International Journal of engineering pedagogy, 5(4), 47-54. Zhang, D., Zhou, L., Briggs, R. O., & Jr, J. F. ( 2006). Instructional video in e-learning: Assessing the impact of interactive video on learning effectiveness. Elsevier, 43(1), 15–27.
Year 2019, Volume: 20 Issue: 1, 131 - 144, 01.01.2019
https://doi.org/10.17718/tojde.522434

Abstract

References

  • Anghour , A., & Lamolle, M. (2017). Designing and Managing a Real-Time Collaborative Learning Paths by a Multi-agents Platform. Springer: Recent Advances in Information Systems and Technologies. WorldCIST 2017. Advances in Intelligent Systems and Computing, 571. Méndez, N. D., Marín, P. A., & Carranza, D. A. (2018). Intelligent Personal Assistant for Educational Material Recommendation Based on CBR. Springer:Personal Assistants: Emerging Computational Technologies. Intelligent Systems Reference Library, 132, 113-131. Song , D., Oh , E. Y., & Rice, M. (2017). Interacting with a conversational agent system for educational purposes in online courses. 10th International Conference on Human System Interactions (HSI). Ulsan, South Korea : the IEEE Digital Library Explorer . Yılmaz, F. G., Olpak, Y. Z., & Yılmaz, R. (2017). The Effect of the Metacognitive Support via Pedagogical Agent on Self-Regulation Skills. Journal of Educational Computing Research, 56(2), 159-180. Agarwal, N., & Ahmed, F. (2017, January). Developing collective learning extension for rapidly evolving information system courses. Springer:Education and Information Technologies, 22(1), 7–37. Arif, M., Illahi, M., Karim, A., Shamshirband, S., Alam, K. A., Farid, S., . . . Balas, V. E. (2014). An architecture of agent-based multi-layer interactive e-learning and e-testing platform. Springer Science+Business Media , 1-24. Arsham , H. (2014, March). Interactive Education: Impact of the Internet on Learning & Teaching. Retrieved Febraury 2018, from http://home.ubalt.edu: http://home.ubalt.edu/ntsbarsh/interactive.htm Bhaskaran , S., & Swaminathan, P. (2014). Intelligent Adaptive E-learning Model for Learning Management System. Research Journal of Applied Sciences, Engineering and Technology, 16(7), 3298-3303. Bourbia, R., Seridi , A., Hadjeris , M., & Seridi, H. (2012). An Adaptive Learning Based on Ant Colony and Collaborative Filtering. Proceedings of the World Congress on Engineering, 2, 1-3. Carliner, S., & Shank, P. (2008). The e-Learning Handbook: Past Promises, Present Challenges. San Francisco: Wiley. Chehbi, S., Elouahbi, R., & El khoukhi, F. (2016). Tracking of learners' motivation and involvement in moodle. The International Journal of Multi-disciplinary Sciences, 2(2), 22-28. Cojocariiu, A., & Stanciiu, C. O. (2009). XML Technologies in Computer Assisted Learning and Testing Systems. Annals. Computer Science Series, 7(1), 89-94. Daomin, X. (2013). Multi-Agent Based e-Learning Intelligent Tutoring System for Supporting Adaptive Learning. Fourth International Conference on Intelligent Systems Design and Engineering Applications (pp. 393-397). IEEE Xplore Digital Library. Dharshini, A. P., Chandrakumarmangalam, S., & Arthi, G. (2015). Journal Applied Mathematics and Computation, 263 (C), 332-341 . Dolen, K., & Aberšek, B. (2015). TECH8 intelligent and adaptive e-learning system: Integration into Technology and Science classrooms in lower secondary schools. Elsevier:Computers & Education, 82, 354-365. Elghibari, F., Elouahbi, R., & El Khoukhi, F. (2015). modèle d’un processus d'apprentissage adapté aux évolutions cognitives du profil de l'apprenant. 1ère Edition du Workshop International sur les Approches Pédagogiques & E-Learning, (pp. 1-3). Fez, Morocco. Elghibari, F., Elouahbi, R., & El Khoukhi, F. (2017). An Automatic Updating Process to Control The E-learning Courseware. International Journal on Advanced Science, Engineering and Information Technology, 7(2), 546-551. Elghibari, F., Elouahbi, R., El Khoukhi, F., Ezzahri, L., & Amali, S. (2016). the 15th International Conference onIntelligent model for measuring learners' satisfaction towards new contents. Information Technology Based Higher Education and Training (ITHET) (pp. 1-5). Istanbul, Turkey: IEEE Xplore Digital Library. Elghibari, F., Elouahbi, R., Elkhoukhi, F., Chehbi, S., & Kamsa, I. (2015). Intelligent e-learning system model for maintenance of updates courses. 15th International Conference on Information Technology Based Higher Education and Training. Lisbon, Portugal: IEEE. Elouahbi, R. (2005). Mdélisation et mise en œuvre du séquencemet dans le système de télé-enseignement SMART-Learning via le graphe pédagogique SMART GRAPH . Elouahbi, R., Bouzidi, D., Abghour, N., & Nassir, A. M. (2012). A flexible approach to modelling adaptive course sequencing based on graphs implemented using XLink. International Journal of Advanced Computer Science and Applications (IJACSA), 3(1), 1-9. Giuffra , P., Cecilia , E., & Silveira , A. R. (2013). A multi-agent system model to integrate virtual learning enviromnents and intelligent tutoring system. International Journal of Artificial Intelligence and Interactive Multimedia, 2(1), 51-58. Gregg, D. G. (2007). E-learning agents. The Learning Organization, 14(4), 300-312. Hai-Jew, S. (2010, December 15). An Instructional Design Approach to Updating an Online Course Curriculum. Retrieved Fevrier 12, 2018, from https://er.educause.edu: https://er.educause.edu/articles/2010/12/an-instructional-design-approach-to-updating-an-online-course-curriculum Kamsa, I., Elghibari, F., Elouahbi, R., Chehbi, S., & El Khoukhi, F. (2015). Learning time planning in a distance learning system using intelligent agents. 14th Information Technology Based Higher Education and Training (ITHET). Lisbon, Portugal: IEEE. Kamsa, I., Elouahbi, R., & El khoukhi, F. (2017). Intelligent Agents for Dynamic Optimization of Learner Performances in an Online System. Journal of Information Technology Education: Research (JITE:Research), 16, 31-45. Kamsa, I., Elouahbi, R., El khoukhi, F., Karite, T., & Zouiten, H. (2016). Optimizing collaborative learning path by ant's optimization technique in e-learning system. The 15th International Conference on Information Technology Based Higher Education and Training (ITHET). Istanbul, Turkey: IEEE Explore Digital Library. Kautsar, I. A., Kubota, S.-I., Musashi, Y., & Sugitani, K. (2013). Moodle xml to IMS QTI assessment test portability on learning management system. The Proceedings of The 7th ICTS, (pp. 209-214). Bali. Lin, F., Holt, P., Leung, S., & Li, Q. (2006). A multiagent and service-oriented. Int. J. Cont. Engineering Education and Lifelong Learning, 16, 77-91. Ng, R. Y.-K., Lam, R. Y.-S., Ng, K. K., & Lai, I. K. (2017). Identifying the Needs of Flexible and Technology Enhanced Learning in Vocational and Professional Education and Training’s (VPET) Workplaces. Springer:New Ecology for Education — Communication X Learning, 107-117. Russell , S., & Norvig, P. (2009). Artificial Intelligence: A Modern Approach. Library of Congress Cataloging-in-Publication Data. Sweta , S., & Lal, K. (2017). Personalized Adaptive Learner Model in E-Learning System Using FCM and Fuzzy Inference System. Springer: International Journal of Fuzzy Systems, 19(4), 1249–1260. Tarasowa, D., Khalili, A., & Auer, S. (2015). CrowdLearn: Crowd-sourcing the Creation of Highly-structured E-Learning Content. International Journal of engineering pedagogy, 5(4), 47-54. Zhang, D., Zhou, L., Briggs, R. O., & Jr, J. F. ( 2006). Instructional video in e-learning: Assessing the impact of interactive video on learning effectiveness. Elsevier, 43(1), 15–27.
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Details

Primary Language English
Journal Section Articles
Authors

Fatiha Elghıbarı This is me 0000-0003-4479-0334

Rachid Elouahbı This is me 0000-0003-3640-8211

Fatima El Khoukhı This is me 0000-0003-1663-4051

Publication Date January 1, 2019
Submission Date January 6, 2018
Published in Issue Year 2019 Volume: 20 Issue: 1

Cite

APA Elghıbarı, F., Elouahbı, R., & El Khoukhı, F. (2019). Dynamic Multi Agent System for Revising E-Learning Content Materia. Turkish Online Journal of Distance Education, 20(1), 131-144. https://doi.org/10.17718/tojde.522434