Document is current
Any future updates will be listed below
-
Authors
Cho, Kyoung-Geun
Jaffrey, Zahra-Batool
Cho, Hun-Hee
Lee, Jun-Woo
Lee, Ye-Jin
Paek, Seon Uck
Won, Seo-Young
Dashdorj, Zolzaya
Altangerel, Erdenebaatar
Kang, Tae-Koo
-
Funding
Funding for this research was provided by:
Korea International Cooperation Agency (P2019-00124)
Korea International Cooperation Agency (P2019-00124)
Korea International Cooperation Agency (P2019-00124)
Korea International Cooperation Agency (P2019-00124)
Korea International Cooperation Agency (P2019-00124)
Korea International Cooperation Agency (P2019-00124)
Korea International Cooperation Agency (P2019-00124)
Korea International Cooperation Agency (P2019-00124)
Korea International Cooperation Agency (P2019-00124)
Korea International Cooperation Agency (P2019-00124)
- License Information
-
More Information
Article History
Received: 10 February 2025
Accepted: 25 November 2025
First Online: 1 December 2025
Competing interests
: The authors declare no competing interests.
: This study confirms that, by utilizing a dataset provided by TDI, it does not involve experiments with human participants; the use of personally identifiable information; the collection or use of human tissue samples; or any procedures requiring ethics approval. This study focuses exclusively on the development and evaluation of an AI-based online teaching system, employing synthetic data and simulations of non-identifiable user interactions.
