Proceedings of the 2025 International Conference on Educational Innovation and Information Technology (EIIT 2025)

Research on Optimization Strategies for Innovation and Entrepreneurship Education in Universities during the Era of AI--Focusing on Business Administration Discipline

Authors
Si Tao1, *, Hua Liu1
1School of Business Administration, Guangzhou Institute of Science and Technology, Guangzhou, China
*Corresponding author. Email: 1532180653@qq.com
Corresponding Author
Si Tao
Available Online 15 December 2025.
DOI
10.2991/978-2-38476-497-6_7How to use a DOI?
Keywords
AI; Innovation and Entrepreneurship Education; Business Administration Discipline; Personalized Education Path; Intelligent Resource Integration
Abstract

The rapid development of Artificial Intelligence technology poses new challenges and opportunities for innovation and entrepreneurship education in universities, especially in business administration discipline. How to optimize the education model to cultivate talents with innovative spirit and practical ability has become a key issue. Taking business administration majors as an example, this study conducts an in-depth analysis of the current status and existing issues of innovation and entrepreneurship education through a combination of bibliometric analysis, theoretical analysis, and case studies. These issues include an imperfect curriculum education system that is disconnected from the needs of innovation and entrepreneurship, outdated educational concepts, and monotonous teaching methods. To address these issues and enhance the level of professional construction, this study proposes the following targeted strategies based on the technological background of AI, including aligning with market demands to improve the curriculum education system; innovating educational concepts and teaching methods driven by AI; updating teaching resources in a timely manner to build an intelligent practical teaching platform; strengthening the construction of teaching staff and creating an entrepreneurial atmosphere. These findings not only provide theoretical basis and practical guidance for optimizing innovation and entrepreneurship education in business administration disciplines, but also offer valuable references and insights for the reform of innovation and entrepreneurship education in other professional fields.

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.

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Volume Title
Proceedings of the 2025 International Conference on Educational Innovation and Information Technology (EIIT 2025)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
15 December 2025
ISBN
978-2-38476-497-6
ISSN
2352-5398
DOI
10.2991/978-2-38476-497-6_7How to use a DOI?
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  - Si Tao
AU  - Hua Liu
PY  - 2025
DA  - 2025/12/15
TI  - Research on Optimization Strategies for Innovation and Entrepreneurship Education in Universities during the Era of AI--Focusing on Business Administration Discipline
BT  - Proceedings of the 2025 International Conference on Educational Innovation and Information Technology (EIIT 2025)
PB  - Atlantis Press
SP  - 53
EP  - 65
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-497-6_7
DO  - 10.2991/978-2-38476-497-6_7
ID  - Tao2025
ER  -