Exploration of Modern University Education Concept Based on Artificial Intelligence
- DOI
- 10.2991/978-94-6463-803-5_59How to use a DOI?
- Keywords
- modern university education; educational concept; educational objectives; teaching models; evaluation systems; personalized learning
- Abstract
In the era of rapid technological advancement, artificial intelligence (AI) has emerged as a transformative force, revolutionizing various sectors, including education. This article delves into the exploration of modern university education concepts in the context of AI. It examines how AI is influencing and reshaping educational objectives, teaching models, and evaluation systems within universities. By analyzing the current state of traditional education and the potential benefits and challenges brought about by AI integration, this study aims to provide insights into the future development of university education concepts. It argues that while AI offers opportunities for personalized learning, enhanced teaching efficiency, and innovative educational experiences, it also presents ethical, technical, and equity - related issues that need to be addressed. A balanced and human - centered approach that combines the capabilities of AI with the wisdom of educators is proposed to ensure the sustainable and meaningful evolution of modern university education concepts.
- 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 - Ying Zheng AU - Qingfeng Shen PY - 2025 DA - 2025/07/31 TI - Exploration of Modern University Education Concept Based on Artificial Intelligence BT - Proceedings of the 5th International Conference on Internet, Education and Information Technology (IEIT 2025) PB - Atlantis Press SP - 632 EP - 637 SN - 2667-128X UR - https://doi.org/10.2991/978-94-6463-803-5_59 DO - 10.2991/978-94-6463-803-5_59 ID - Zheng2025 ER -