Towards a Mobile, Intelligent, Personalized and Adaptative E-learning System Considering Learner's Context in Semi-Nomadic and Conflict Zones [r-libre/3704]

Maïga, Alhoudourou, A.; Hotte, Richard; Camara, Gaoussou; Abid, Mariem, & Masmoudi, Anis (2025). Towards a Mobile, Intelligent, Personalized and Adaptative E-learning System Considering Learner's Context in Semi-Nomadic and Conflict Zones. In Proceedings of 7th International Conference InterSol 2024 (p. 240-251). Dakar, Senegal : Springer Nature, coll. « Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering », vol. 610. ISBN 10.1007/978-3-031-86493-3_19 https://doi.org/10.1007/978-3-031-86493-3_19

File(s) available for this item:

PDF - InterSol-CNRIA 2023-2024 Maiga et al.pdf
Content : Accepted Version
Restricted access till end- May 2026.

Request a copy

Item Type:	Papers in Conference Proceedings
Refereed:	Yes
Status:	Published
Abstract:	According to the UNESCO (2023), the sub-Saharan Africa has the highest rate of out-of-school children for economic, cultural, socio-political and geopolitical reasons. Improving school attendance rates in such areas requires a preliminary study to understand the local realities and meet the expectations of learners and, above all, their parents, who have the power to decide whether or not to send them to school. In this paper, we study and design mobile-based, intelligent, personalized and adaptive e-learning solution in semi-nomadic and conflict zones. This solution is part of the AMI (Intelligence-Mediated Learning) project which aims to design, develop, and implement a mobile learning system made up of educational applications accessible from micro terminals (such as smartphones, tablets, and other devices). To properly assess the learning needs in such context, four field surveys were carried out in Kalani, a community in northern Mali, located in a conflict zone with a high rate of non-schooling and out-of-school children, where both sedentary and nomadic families live. These surveys made it possible to collect, analyze and process data of 100 Kalani children aged between 6 and 11, to build up a model that guide the implementation of our proposed educational solution. The data analysis revealed a strong link between the learners’ interests and the needs expressed by the community.
Official URL:	https://link.springer.com/chapter/10.1007/978-3-03...
Depositor:	Hotte, Richard
Owner / Manager:	Richard Hotte
Deposited:	02 May 2025 14:17
Last Modified:	02 May 2025 14:17

Actions (login required)

RÉVISER