Ma, Xinyan and Ding, Xu and Tang, Xiaoqi and Zhang, Siman and Diao, Junfeng (2024) Risks, Strategies, and Prospects of Generative Artificial Intelligence in Digital Education: A Policy Content Analysis Perspective. In: Proceedings of the 3rd International Conference on Educational Innovation and Multimedia Technology, EIMT 2024, March 29–31, 2024, Wuhan, China.
![[thumbnail of 63018.pdf]](http://eprints.eai.eu/style/images/fileicons/application_pdf.png "63018.pdf")
PDF
63018.pdf
Download (74kB)
Abstract
Artificial Intelligence Generated Content (AIGC) represents a transformative force in digital technology, playing a pivotal role in shaping the landscape of digital education. This research focuses on addressing the critical problem of effectively managing risks associated with AIGC, so as to foster
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 17:42 |
| Last Modified: | 16 Apr 2026 23:16 |
| URI: | http://eprints.eai.eu/id/eprint/49497 |
Actions (login required)
- View Item