Research on the Innovation and Application of Online-Offline Mixed Teaching Mode of “AI+Higher Continuing Education”
- DOI
- 10.2991/978-2-38476-462-4_29How to use a DOI?
- Keywords
- Artificial Intelligence (AI); Higher Continuing Education; Online-Offline Hybrid Teaching
- Abstract
The purpose of this study is to explore how AI technology deeply empowers online and offline blended teaching in higher continuing education, analyze the status quo and bottlenecks of the current blended teaching mode, put forward AI-driven innovation paths, and explore its specific application scenarios and practical value, with a view to improving the quality of teaching, learning experience, and management effectiveness of continuing education, and promoting the transformation of higher continuing education to a smarter, more efficient, and more personalized direction. The aim is to improve the teaching quality, learning experience and management effectiveness of continuing education, and to promote the transformation of higher continuing education into a smarter, more efficient and personalized direction.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Yuzhen Tang AU - Jinfeng Wang AU - Siyao Tang PY - 2025 DA - 2025/09/12 TI - Research on the Innovation and Application of Online-Offline Mixed Teaching Mode of “AI+Higher Continuing Education” BT - Proceedings of the 2025 9th International Seminar on Education, Management and Social Sciences (ISEMSS 2025) PB - Atlantis Press SP - 257 EP - 263 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-462-4_29 DO - 10.2991/978-2-38476-462-4_29 ID - Tang2025 ER -