Multi-Agents Dynamic Case Based Reasoning and The Inverse Longest Common Sub-Sequence And Individualized Follow-up of Learners in The CEHL

Multi-Agents Dynamic Case Based Reasoning & The Inverse Longest Common Sub-Sequence And Individualized Follow-up of Learners in The CEHL

In E-learning, there is still the problem of knowing how to ensure an individualized and continuous learner‟s follow-up during learning process, indeed among the numerous tools proposed, very few systems concentrate on a real time learner‟s follow-up. Our work in this field develops the design and implementation of a Multi-Agents System Based on Dynamic Case Based Reasoning which can initiate l...

Intelligent Tutoring Systems Based on the Multi-Agent Systems (ITS-MAS): The Dynamic and Incremental Case Based Reasoning (DICBR) Paradigm and the Inverse Longest Common Sub-Sequence (ILCSS) in the CEHL

The major problem of e-learning is often stopped during training. Due to the fact that it is necessary to ensure an individualized and continuous learner’s follow-up during the learning process. Our work in this field develops the design and implementation of a Multi-Agents System Based on Dynamic Case Based Reasoning which can initiate learning and provide an individualized follow-up of a lear...

Incremental Dynamic Case Based Reasoning and Multi-Agent Systems (IDCBR-MAS) for Intelligent Tutoring System

In this paper we present our approach in the field of Intelligent Tutoring System (ITS), in fact there is still the problem of knowing how to ensure an individualized and continuous learners follow-up during learning process, indeed among the numerous methods proposed, very few systems concentrate on a real time learners follow-up. Our work in this field develops the design and implementation o...

Our System IDCBR-MAS: from the Modelisation by AUML to the Implementation under JADE Platform

— This paper presents our work in the field of Intelligent Tutoring System (ITS), in fact there is still the problem of knowing how to ensure an individualized and continuous learners follow-up during learning process, indeed among the numerous methods proposed, very few systems concentrate on a real time learners follow-up. Our work in this field develops the focuses on the use of the learner ...

Dynamic Case-Based Reasoning Based on the Multi-Agent Systems: Individualized Follow-Up of Learners in Distance Learning