A New Approach based on a Multi-ontologies and Multi-agents System to Generate Customized Learning Paths in an E-Learning Platform
Jaber El Bouhdidi, Mohamed Ghailani, Otman Abdoun, Abdelhadi Fennan · International Journal of Computer Applications · 2010
Currently the Multi-Agents System (MAS) have discussed several areas such as in the field of education.The MAS is one of the most promising technological paradigms in the development of distance learning platforms.They can contribute greatly to improve the teaching/learning process.In this paper we propose a model of E-Learning based on a process of coupling of ontologies and multi-agent systems for a synergy of their strengths.Indeed, this model allows human agents (students, teachers and instructional designers) to cooperate with software agents to automatically build courses guided by relevant learning objectives.In addition, it allows the learner to follow his training at their own pace and according to their preferences, either individually or jointly with others (students or tutors).Therefore, the proposed model provides learners with a training respecting their preferences and meets their expectations.And this is by creating of customized resources for a quality relevant educational use.