Abstract
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), adaptative/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 learner 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 provide the system with dynamic and sustainable self-learning capabilities, based on the learner’s behaviors throughout his interaction with the system? More precisely, how to represent and interpret random events as messages 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 maximum adaptability of a personalized learning offer.
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Acknowledgments
We would like to express our gratitude to the Canadian Commission for UNESCO and the Fonds de recherche du Québec for their support and funding to the UNESCO Chair in GSDL, to the MRIF - Québec for its financial support from the Québec-Sénégal bilateral cooperation program, and to the Fonds d’aide à la recherche de l’Université TÉLUQ. Finally, we would like to thank the team of students who contribute to the advancement of the research through their investment in internships and theses.
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Hotte, R., Masmoudi, A., Jaballah, A., Masmoudi, O., Maïga, A.A. (2022). Work-In-Progress About Dynamicity as a Foundation for AMI, a Mobile Intelligent and Adaptive Learning System. In: Auer, M.E., Tsiatsos, T. (eds) New Realities, Mobile Systems and Applications. IMCL 2021. Lecture Notes in Networks and Systems, vol 411. Springer, Cham. https://doi.org/10.1007/978-3-030-96296-8_11
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