Chatbot Design to Help Learners Self-Regulte Their Learning in Online Learning Environments

E-learning environments are part of the self-learning 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 ab...

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Bibliographic Details
Published in2023 IEEE International Conference on Advanced Learning Technologies (ICALT) pp. 236 - 238
Main Authors Kaiss, Wijdane, Mansouri, Khalifa, Poirier, Franck
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2023
Subjects
Artificial intelligence
chatbot
Chatbots
Design methodology
e-learning
Ecosystems
Electronic learning
moodle
self-regulated learning
Training
Virtual assistants
Online AccessGet full text
ISSN2161-377X
DOI10.1109/ICALT58122.2023.00075

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Summary:E-learning environments are part of the self-learning 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.
ISSN:2161-377X
DOI:10.1109/ICALT58122.2023.00075