Abstract
E-learning systems are the result of the new era of digitalization, which has affected many areas including education. These systems offer many benefits like ease of access and time management. Therefore, the educational paradigm has been changed. Otherwise, since E-learning systems consider only the cognitive state of the learner regardless of his emotional state, they cannot instruct students effectively. Moreover, if the target learner has non-ordinary cognitive and socio-emotional abilities, such as a child with ASD (Autism Spectrum Disorder). So, the e-learning system must be able to satisfy those needs and propose a suitable content according to his learning rhythm.
This paper proposes a new multi-agent architecture of an emotional intelligent e-learning system, it aims to help ASD children overcome learning impairments. The proposed architecture is based on several agents, endowing to address emotional, cognitive and pedagogical issues intelligently. They are working in a collaborative and cooperative fashion to provide the appropriate content.
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Tahiri, N., El Alami, M. (2020). An Intelligent E-Learning System for Autistic Children: Multi-Agent Architecture. In: Ezziyyani, M. (eds) Advanced Intelligent Systems for Sustainable Development (AI2SD’2019). AI2SD 2019. Advances in Intelligent Systems and Computing, vol 1102. Springer, Cham. https://doi.org/10.1007/978-3-030-36653-7_8
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DOI: https://doi.org/10.1007/978-3-030-36653-7_8
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