CHAT-ACTS: A pedagogical framework for personalized chatbot to enhance active learning and self-regulated learning

The CHAT-ACTS pedagogical framework presented in this paper integrates personalized chatbots into active and self-regulated learning (SRL) to enhance student engagement, motivation, and learning outcomes. Employing three primary learning modes - Personalized Chatbot, Self-Regulated Learning, and Act...

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Bibliografische gegevens

Hoofdauteurs:	Michael Pin-Chuan Lin, Daniel Chang
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	Elsevier 2023-01-01
Reeks:	Computers and Education: Artificial Intelligence
Onderwerpen:	Chatbot Active learning Self-regulated learning Pedagogy Educational technology
Online toegang:	http://www.sciencedirect.com/science/article/pii/S2666920X23000462
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