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Thesis

French

ID: <

10670/1.vu71c6

>

Where these data come from
Analysis, design, specification and development of a multi-agent system to support distance learning activities

Abstract

Distance learning poses specific problems. These problems include the feeling of isolation experienced by users and the lack of support for learners; all this leads to a high loss rate and significantly increases the risk of break-up of distance learning sessions. Given the high drop-out rate, it would be particularly interesting to identify the success and failure factors of a distance learning session: what elements in IT systems, pedagogical approaches or experience of training mean that training achieves its objectives and ends? What strategies should be put in place to reduce the drop-out rates inherent in this type of training? What indicators need to be put in place and monitored when dealing with the smooth running of a DIF session? The objectives of our thesis work are to respond to the various issues identified above. More specifically, by conducting a DIF experimentation, it is necessary to identify the role of mentors and other users in the success of a distance training session based in particular on collaborative learning; building IT tools (especially for the mentor) that can facilitate the follow-up of distributed collaborative learning. Our work also concerns the understanding and setting up of interfaces between e-training IT platforms and users. Our work is in the field of collaborative distance learning. We are interested in building IT tools and artefacts capable of providing support and assistance to people engaged in distance learning.

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