Abstract
Education is defined as the process of building an individual and eradicating illiteracy from society. Education is the main engine of the prosperity and development of civilizations. In addition, to being the center of measurement of growth and development of societies, all peoples care about it and seek to develop it. Given the difficult conditions that the world is going through due to the epidemic of Covid-19, the educational sector has a renewed interest in a humanoid social robot, to limit contact with the public and avoid overcrowding in schools and keep pace with education despite the pandemic. This paper aims to propose an interactive tutoring environment, using an assisting humanoid robot to support the teaching and learning process in the classroom. Statistics indicate that the use of educational robots has seen a notable evolution recently, more than 85.70% of teachers have been using robots in the classroom for less than 5 years. The teaching humanoid robot assistant can catch student’s attention, then help teachers improve the way they present their courses and manage their classes. In this work, we represent the main activities that a teacher does to invade the classroom to have a good session with his students. All these activities represent knowledge level tasks for the teacher, while for our humanoid robot assistant, we have defined its tasks that represent primitive level tasks, and we have chained these tasks to give a generic knowledge model that allows defining a knowledge level task for the teacher from a composition of primitives tasks of the assistant humanoid robot in the teaching act.
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Gouraguine, S., Salhi, I., Riad, M., Qbadou, M., Mansouri, K. (2023). Towards a Humanoid Teaching Assistant-Robot-Primitives Knowledge Modeling. In: Hassanien, A.E., Snášel, V., Tang, M., Sung, TW., Chang, KC. (eds) Proceedings of the 8th International Conference on Advanced Intelligent Systems and Informatics 2022. AISI 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 152. Springer, Cham. https://doi.org/10.1007/978-3-031-20601-6_66
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