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Authors: Insaf Tnazefti-Kerkeni 1 ; Henda Belaïd 2 and Bénédicte Talon 1

Affiliations: 1 LISIC, Main, Université du Littoral Côte d’Opale, Calais, France ; 2 LIPAH, Faculté des Sciences de Tunis, Le Belvédère, Tunisie

Keyword(s): Adaptive Learning, LMS, Personalization, Traces, Indicators, Agents, SMA.

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.

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Paper citation in several formats:
Tnazefti-Kerkeni, I.; Belaïd, H. and Talon, B. (2020). An Adaptive Learning System based on Tracking. In Proceedings of the 12th International Conference on Computer Supported Education - Volume 2: CSEDU; ISBN 978-989-758-417-6; ISSN 2184-5026, SciTePress, pages 455-460. DOI: 10.5220/0009571604550460

@conference{csedu20,
author={Insaf Tnazefti{-}Kerkeni. and Henda Belaïd. and Bénédicte Talon.},
title={An Adaptive Learning System based on Tracking},
booktitle={Proceedings of the 12th International Conference on Computer Supported Education - Volume 2: CSEDU},
year={2020},
pages={455-460},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009571604550460},
isbn={978-989-758-417-6},
issn={2184-5026},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Computer Supported Education - Volume 2: CSEDU
TI - An Adaptive Learning System based on Tracking
SN - 978-989-758-417-6
IS - 2184-5026
AU - Tnazefti-Kerkeni, I.
AU - Belaïd, H.
AU - Talon, B.
PY - 2020
SP - 455
EP - 460
DO - 10.5220/0009571604550460
PB - SciTePress