Understanding Student Engagement in AI-Powered Online Learning Platforms: A Narrative Review of Key Theories and Models
Garcia, Manuel B; Goi, Chai Lee; Shively, Kate; Maher, Damian; Rosak-Szyrocka, Joanna; Happonen, Ari; Bozkurt, Aras; Damaševičius, Robertas (2024)
Post-print / Final draft
Garcia, Manuel B
Goi, Chai Lee
Shively, Kate
Maher, Damian
Rosak-Szyrocka, Joanna
Happonen, Ari
Bozkurt, Aras
Damaševičius, Robertas
2024
IGI Global
School of Engineering Science
Kaikki oikeudet pidätetään.
© IGI Global
© IGI Global
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe2025062372762
https://urn.fi/URN:NBN:fi-fe2025062372762
Tiivistelmä
Online learning has become fundamental to modern academic and professional development. Amidst its widespread adoption, there is increasing integration of artificial intelligence (AI) to enhance the learning experience. Understanding student engagement within these AI-powered digital platforms is crucial, as it directly influences learning outcomes and satisfaction. This chapter provides a narrative review of key theories and models essential for analyzing engagement in virtual learning contexts. Particularly, it focuses on constructivist learning theory, social learning theory, cognitive load theory, flow theory, technology acceptance model, self-determination theory, cognitive theory of multimedia learning, and feedback intervention theory. By examining these frameworks through an epistemological lens, the chapter explores how knowledge acquisition, cognitive processing, and social learning principles interact within AI-enhanced educational contexts. The insights reported here can serve as a guide for optimizing AI to maximize student involvement and educational efficacy.
Lähdeviite
Garcia, M. B., Goi, C. L., Shively, K., Maher, D., Rosak-Szyrocka, J., Happonen, A., Bozkurt, A., & Damaševičius, R. (2024). Understanding Student Engagement in AI-Powered Online Learning Platforms: A Narrative Review of Key Theories and Models. In A. Gierhart (Ed.), Cases on Enhancing P-16 Student Engagement With Digital Technologies, pp. 1-30. DOI: 10.4018/979-8-3693-5633-3.ch001
Kokoelmat
- Tieteelliset julkaisut [1590]