An Adaptive Learning System based on Tracking - Archive ouverte HAL
Conference Papers Year : 2020

An Adaptive Learning System based on Tracking

Abstract

Success in training is an opportunity that must be offered to each student. However, many universities are experiencing high rates of failure and dropout, especially during the first year of higher studies. We believe that creating a process based on personalization of teaching can contribute to the decrease of failure rate during undergraduate studies. To achieve this goal, we are specifically interested in online learning supported by a Learning Management System (LMS). We have integrated, in a previous works, new tools using traces of learners’ activities during collaborative works on an LMS. We therefore propose a system based on intelligent agents. We are designing smart dashboards, automating detection of specific learners' difficulties in order to offer alternatives or solutions to their problems.

Dates and versions

hal-03105844 , version 1 (11-01-2021)

Identifiers

Cite

Insaf Tnazefti-Kerkeni, Henda Belaïd, Bénédicte Talon. An Adaptive Learning System based on Tracking. 12th International Conference on Computer Supported Education, May 2020, Prague, Czech Republic. pp.455-460, ⟨10.5220/0009571604550460⟩. ⟨hal-03105844⟩
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