Research on the Application of Artificial Intelligence Technology in Improving Teacher Quality and Teaching Efficiency
- DOI
- 10.2991/978-94-6463-502-7_89How to use a DOI?
- Keywords
- Artificial Intelligence Technology; Teacher Quality; Teaching Efficiency; Scenario Innovation; Content Enrichment
- Abstract
The practice of Tsinghua University has shown that using artificial intelligence to assist or deeply intervene in courses can continuously innovate teaching scenarios, improve teaching and learning efficiency and quality. The application of artificial intelligence technology can help enrich teaching content by integrating various elements such as text, images, and sound, helping students better understand and absorb knowledge. This article aims to explore the application and effectiveness of artificial intelligence technology in improving teacher quality and teaching efficiency. Through a review of relevant literature and empirical research, this article analyzes the mechanism of the role of artificial intelligence technology in improving teacher quality and teaching efficiency, and puts forward corresponding suggestions to provide strong assistance for the development of the industry.
- Copyright
- © 2024 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 - Zuqin Mo AU - Ling Shen PY - 2024 DA - 2024/08/31 TI - Research on the Application of Artificial Intelligence Technology in Improving Teacher Quality and Teaching Efficiency BT - Proceedings of the 2024 5th International Conference on Education, Knowledge and Information Management (ICEKIM 2024) PB - Atlantis Press SP - 839 EP - 845 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-502-7_89 DO - 10.2991/978-94-6463-502-7_89 ID - Mo2024 ER -