Article: How to provide intelligent assistance to learners in e-learning environments? Journal: International Journal of Technology Enhanced Learning (IJTEL) 2024 Vol.16 No.1 pp.74 - 101 Abstract: The health consequences caused by the spread of the COVID-19 disease have motivated many countries to turn to e-learning environments. This technological solution is the only one that has allowed the continuity of the educational process. Unfortunately, this widespread teaching mode also poses multiple problems that may negatively affect the learning process, including the autonomy of learners, the lack of interaction and collaboration between them, the lack of feedback on their activities, and the lack of appropriate support for learners with difficulties. Solutions to these challenges include personalising educational content and providing personalised and adapted assistance. Providing help and support to learners can decrease some of the harmful effects of the previously mentioned problems. The present work falls within this context and aims to propose an approach that uses the traces left by learners to detect those who have difficulties and provides them with adequate assistance. An online learning system called SANED adopted the proposed approach. To validate the proposed ideas, real students tested the proposed tools. Found results are encouraging and very promising. Inderscience Publishers - linking academia, business and industry through research

Title: How to provide intelligent assistance to learners in e-learning environments?

Authors: Riad Bourbia; Samia Drissi; Yacine Lafifi

Addresses: Computer Science Department, University of Mohamed Cherif Messaadia, Souk Ahras, P.O. Box 1553, 41000 Souk Ahras, Algeria; LabSTIC Laboratory, University 8 Mai 1945, Guelma, P.O. Box 401, 24000, Guelma, Algeria ' LiM Laboratory, Faculty of Science and Technology, University of Mohamed Cherif Messaadia, Souk Ahras, P.O. Box 1553, 41000 Souk Ahras, Algeria ' LabSTIC Laboratory, University 8 Mai 1945, Guelma, P.O. Box 401, 24000, Guelma, Algeria

Abstract: The health consequences caused by the spread of the COVID-19 disease have motivated many countries to turn to e-learning environments. This technological solution is the only one that has allowed the continuity of the educational process. Unfortunately, this widespread teaching mode also poses multiple problems that may negatively affect the learning process, including the autonomy of learners, the lack of interaction and collaboration between them, the lack of feedback on their activities, and the lack of appropriate support for learners with difficulties. Solutions to these challenges include personalising educational content and providing personalised and adapted assistance. Providing help and support to learners can decrease some of the harmful effects of the previously mentioned problems. The present work falls within this context and aims to propose an approach that uses the traces left by learners to detect those who have difficulties and provides them with adequate assistance. An online learning system called SANED adopted the proposed approach. To validate the proposed ideas, real students tested the proposed tools. Found results are encouraging and very promising.

Keywords: intelligent assistance; adapted assistance; traces; indicators; learning difficulties; learning environment.

DOI: 10.1504/IJTEL.2024.135433

International Journal of Technology Enhanced Learning, 2024 Vol.16 No.1, pp.74 - 101

Received: 17 Feb 2023
Accepted: 21 Mar 2023
Published online: 12 Dec 2023 *

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Title: How to provide intelligent assistance to learners in e-learning environments?

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