Work-in-Progress about dynamicity as a foundation for AMI, a mobile intelligent and adaptive learning system [r-libre/2456]

Hotte, Richard; Masmoudi, Anis; Jaballah, Aymen; Masmoudi, Omar et Maïga, Alhoudourou, A. (2022). Work-in-Progress about dynamicity as a foundation for AMI, a mobile intelligent and adaptive learning system. Dans Proceedings of the 14th International Conference on Interactive Mobile Communication Technologies and Learning (IMCL 2022). New Realities, Mobile Systems and Applications, vol. 411 (p. 111-119). Thessaloniki, Greece : Springer. ISBN 978-3-030-96296-8 https://doi.org/10.1007/978-3-030-96296-8_11

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Catégorie de document :	Communications dans des actes de congrès/colloques
Évaluation par un comité de lecture :	Oui
Étape de publication :	Publié
Résumé :	If school, in its traditional form, cannot be accessible to all the children of the world, we believe that school can become accessible to them in the form of a smart learning system (smart system and smart learning), adapta-tive/personalized, and mobile. AMI, an intelligence-based learning system, could be a solution for children who are out of school. AMI aims to enable learner self-learning. To do this, it must be dynamic. Its dynamicity stems from a close and sustained interaction between the learn-er and the system, which infers its adaptability. The system is then alive and, therefore, in constant reaction to the learner's activity. The continuous integration of new data from this learner/system interaction modifies the learner's profile and/or the learning path in progress. Therefore, how to pro-vide the system with dynamic and sustainable self-learning capabilities, based on the learner's behaviors throughout his interaction with the sys-tem? More precisely, how to represent and interpret random events as mes-sages to which the system can react to produce actions in continuous mode? This paper presents a Work-in Progress on the implementation of two of the four intelligent components of the AMI system aiming at allowing a maxi-mum adaptability of a personalized learning offer.
Adresse de la version officielle :	https://link.springer.com/chapter/10.1007/978-3-03...
Déposant:	Hotte, Richard
Responsable :	Richard Hotte
Dépôt :	24 nov. 2021 13:59
Dernière modification :	28 févr. 2024 21:31

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