Online Learning with Artificial Intelligence and ChatGPT: A Review of Theoretical Frameworks to Understanding Student Engagement

Book Chapters

Online Learning with Artificial Intelligence and ChatGPT: A Review of Theoretical Frameworks to Understanding Student Engagement

Cases on Enhancing P-16 Student Engagement With Digital Technologies, ()

, , , , , , ,

This is a post-peer-review, pre-copyedit version of an article published in the Cases on Enhancing P-16 Student Engagement With Digital Technologies book.

Loading pdf file, please wait...

Open in a new tab

Cite this paper

Garcia, M. B., Jowallah, R., Shively, K., Bozkurt, A., Rosak-Szyrocka, J., Goi, C., Maher, D., & Damaševičius, R. Online Learning with Artificial Intelligence and ChatGPT: A Review of Theoretical Frameworks to Understanding Student Engagement. Cases on Enhancing P-16 Student Engagement With Digital Technologies.

Under Review

Download Citation

Authors

Garcia, Manuel B.

Educational Innovation and Technology Hub

FEU Institute of Technology, Philippines

iD 0000-0003-2615-422X

Jowallah, Rohan

University of Central Florida, United States

Shively, Kate

Ball State University, United States

Bozkurt, Aras

Anadolu University, Turkey

Rosak-Szyrocka, Joanna

Czestochowa University of Technology, Poland

Goi, Chai-Lee

Curtin University, Malaysia

Maher, Damian

University of Technology Sydney, Australia

Damaševičius, Robertas

Vytautas Magnus University, Lithuania

~

Citations

h-index

i10-index

All

1954

31

64

Since 2019

1946

31

64

Contact Info

Follow Me

Online Learning with Artificial Intelligence and ChatGPT: A Review of Theoretical Frameworks to Understanding Student Engagement

Cite this paper

Authors

Garcia, Manuel B.

Jowallah, Rohan

Shively, Kate

Bozkurt, Aras

Rosak-Szyrocka, Joanna

Goi, Chai-Lee

Maher, Damian

Damaševičius, Robertas

Google Scholar