AI empowered Digital Teaching and Learning Based on Chaoxing Teaching Platform
——Taking the Course of Python Programming as an Example
- DOI
- 10.2991/978-94-6463-776-2_44How to use a DOI?
- Keywords
- Digital teaching; Two levels and four ends; AI learning situation analysis; AI real-time interactive Q&A; AI warning mechanism
- Abstract
With the rapid development of artificial intelligence technology, the education sector is undergoing profound changes. This article explores the digital teaching and learning model under the background of artificial intelligence, analyzes the application of AI technology in the entire teaching process and its impact on the educational ecosystem. Research has shown that AI has significant advantages in empowering teaching preparation, enhancing classroom interaction, optimizing after-school tutoring, and establishing teaching warning mechanisms, which can achieve personalized learning and precise teaching. Meanwhile, digital teaching also faces challenges such as data privacy and technological dependence. In the future, the deep integration of AI and education will reshape teaching models and improve the quality of education, but it is necessary to balance technological innovation and humanistic care, and build a more intelligent, efficient, and equitable education system.
- 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 - Cheng Lv PY - 2025 DA - 2025/07/04 TI - AI empowered Digital Teaching and Learning Based on Chaoxing Teaching Platform BT - Proceedings of the 2025 International Conference on Education Reform, Ideology and Politics (ERIP 2025) PB - Atlantis Press SP - 339 EP - 348 SN - 2352-5398 UR - https://doi.org/10.2991/978-94-6463-776-2_44 DO - 10.2991/978-94-6463-776-2_44 ID - Lv2025 ER -