Abstract
Distance education is today a major pedagogical innovation and makes it possible to solve not only the problem of the massification of baccalaureate holders and the professionalization of training, but also and above all to optimize pedagogical and human resources. This type of teaching is based on digital platforms that contain educational resources. Consequently, for a good follow-up of learners in the conduct of the courses, the existing training platforms integrate a so-called tutoring system. However, although this system allows learners to be monitored by their tutors, it has many shortcomings, including the loss of quality in distance education due to a lack of continuous interactivity of tutoring. This lack of interactivity can come from the learner or the tutor and it is even worse if it has to come from the tutor. This paper aims to provide a constant and intelligent solution in the tutoring system. Our solution consists in guiding the learner as much as possible to carry out his tutoring even when the tutor is not available. Thus we propose a model that will take as input the useful course data from the tutor, and then make the necessary settings to allow the system to guide the learner in his learning process while avoiding any interruption in the tutoring.
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Gueye, B., Gueye, A.D., Gueye, A., Kasse, O., Lishou, C. (2021). Poster: Proposal of an Intelligent Remote Tutoring Model. In: Auer, M.E., Tsiatsos, T. (eds) Internet of Things, Infrastructures and Mobile Applications. IMCL 2019. Advances in Intelligent Systems and Computing, vol 1192. Springer, Cham. https://doi.org/10.1007/978-3-030-49932-7_29
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DOI: https://doi.org/10.1007/978-3-030-49932-7_29
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Online ISBN: 978-3-030-49932-7
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