Artificial Intelligence + Education: Application Status, Problems and Countermeasures
- DOI
- 10.2991/978-94-6463-502-7_104How to use a DOI?
- Keywords
- Artificial intelligence + ; personalized learning; intelligent assisted teaching
- Abstract
The rapid development of AI (artificial intelligence) has prompted radical changes in the field of education. The application of intelligent teaching systems, virtual experiments and simulation training, and intelligent education management plays a huge role in improving the quality of education, promoting education fairness, fostering innovative talents, and advancing the internationalization of education. However, the application of AI in the field of education has also brought about a number of problems, such as data privacy leakage, algorithmic bias and misjudgment, challenges to teachers' roles, etc. The purpose of this paper is to discuss the current situation of the application of AI in education, analyze the existing problems, and put forward countermeasures such as strengthening data protection, optimizing algorithm design, and improving teachers' skills, with a view to promoting the healthy development of artificial intelligence in higher education.
- 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 - Han Xu AU - Siqi Wang PY - 2024 DA - 2024/08/31 TI - Artificial Intelligence + Education: Application Status, Problems and Countermeasures BT - Proceedings of the 2024 5th International Conference on Education, Knowledge and Information Management (ICEKIM 2024) PB - Atlantis Press SP - 970 EP - 976 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-502-7_104 DO - 10.2991/978-94-6463-502-7_104 ID - Xu2024 ER -