Chatbot design to help learners self-regulte their learning in online learning environments - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance Access content directly
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Chatbot design to help learners self-regulte their learning in online learning environments

Abstract

E-learning environments are part of the selflearning ecosystem of which self-regulation is one of the main pillars. One of the key factors contributing to dropping out in an e-learning environment is the lack of self-regulatory skills. This skill is often absent in many learners, leading them to abandon their training. In this paper we propose a methodology, chatbot architectural design, allowing to help the learner to self-regulate in his/her learning by supporting him/her through a chatbot within the Moodle platform, which constitutes a metacognitive virtual assistant, to provide metacognitive messages. The aim is to improve the quality of learning in the e-learning environment.
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Dates and versions

hal-04083828 , version 1 (27-04-2023)

Identifiers

  • HAL Id : hal-04083828 , version 1

Cite

Franck Poirier, Khalifa Mansouri, Wijdane Kaiss. Chatbot design to help learners self-regulte their learning in online learning environments. The 23rd IEEE International Conference on Advanced Learning Technologies (ICALT 2023), IEEE Computer Society and the IEEE Technical Committee on Learning Technology, Jul 2023, Orem (UT), United States. ⟨hal-04083828⟩
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