Chatbot design to help learners self-regulte their learning in online learning environments
référence:
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⟩
uri HAL:
date publication:
Lundi, 10 juillet, 2023
résumé:
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.
type de publication:
Communication dans un congrès
comité de relecture:
Oui
Dernière mise à jour : 4 juin, 2023 - 13:50