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Contribution of Pedagogical Agents to Motivate Learners in Online Learning Environments: The Case of the PAOLE Agent

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Innovations in Smart Cities and Applications (SCAMS 2017)

Abstract

The work we present in this paper is a part of the general problem of drop-out in online learning environments (LMSs and MOOCs). It deals in particular with the motivation issue of learners to finish their courses. In this sense, we defend the idea of the interest of animated pedagogical agents to motivate learners and to adapt content, presentation and navigation to their profile. We therefore propose the first specifications of the PAOLE agent. The design of this agent is based on a new concept which we have called the Pedagogical Intervention. An intervention may be of different kinds, but it is more precisely used to overcome the current problem of abandonment of learners. It combines characteristics of intelligent agents like: autonomy, ability to perceive, to interact, to reason and to act; and some other characteristics of pedagogical agents as: observing, evaluating, adapting content, recommending, engaging, motivating, etc.

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Correspondence to Abdelkrim Bendou .

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Bendou, A., Abrache, MA., Cherkaoui, C. (2018). Contribution of Pedagogical Agents to Motivate Learners in Online Learning Environments: The Case of the PAOLE Agent. In: Ben Ahmed, M., Boudhir, A. (eds) Innovations in Smart Cities and Applications. SCAMS 2017. Lecture Notes in Networks and Systems, vol 37. Springer, Cham. https://doi.org/10.1007/978-3-319-74500-8_32

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  • DOI: https://doi.org/10.1007/978-3-319-74500-8_32

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