Research on Modernising Innovation and Entrepreneurship Education in New Business Disciplines at Applied Universities through Artificial Intelligence Empowerment

Hana Wang; Sicheng Peng

doi:10.62177/jetp.v2i4.834

Authors

Hana Wang Hunan Institute of Engineering
Sicheng Peng Hunan Institute of Engineering

DOI:

https://doi.org/10.62177/jetp.v2i4.834

Keywords:

Artificial intelligence (AI), Innovation and Entrepreneurship, Business, College Students

Abstract

This paper explores pathways and strategies for the AI-driven modernisation of innovation and entrepreneurship education within the new business disciplines of applied universities. It begins by analysing the urgent demand for interdisciplinary business talent in the digital economy, emphasising the outdated nature of traditional business education in terms of its content, methodology and assessment mechanisms. It then outlines the new requirements for AI-enhanced innovation and entrepreneurship education in terms of talent development, curriculum design, teaching models, faculty development, evaluation systems and practical platforms. Finally, the paper systematically presents AI-powered modernisation pathways for innovation and entrepreneurship education through seven dimensions: strategic planning, curriculum restructuring, pedagogical innovation, faculty optimisation, evaluation refinement, platform upgrades, and industry-university collaboration. These initiatives aim to drive profound educational transformation and cultivate applied professionals who possess business acumen, technical expertise and an innovative spirit.

Downloads

Download data is not yet available.

References

Li, D., Gu, M., Ye, W., et al. (2025). Research on building a talent development system for new business disciplines in the context of the digital economy. New West, (08), 105–109.

Zhang, Y. (2020). On professional ability and development approach of commercial personnel from the perspective of new business model. Vocational Education Research in Xinjiang, 11(02), 16–19.

Zhang, Y., Shi, W., Zhu, T., et al. (2024). The theoretical connotation, operational logic and practical approach of new business discipline. Journal of Tianjin University (Social Sciences), 26(01), 28–37.

Gao, K., Qi, X., Yang, X., et al. (2024). On applied university teachers' teaching ability: Connotation and structural model. Application-Oriented Higher Education Research, 9(04), 62–67.

Liu, M., Bao, M., Lu, Y., et al. (2025). The effect of generative AI on innovation and entrepreneurship education in universities: Opportunities, risks and countermeasures. Journal of International Education and Science Studies, 2(5).

Lin, P., Chen, S., Li, H., et al. (2025). AI-assisted “Teaching-Training-Competition-Internship (TTCI)” four-phase integrated model for innovation and entrepreneurship education and its evaluation system. Exploration of Educational Management, 3(6).

Zhang, B., & Wang, L. (2025). Research on the cultivation mode of continuing education innovative and entrepreneurial talents based on AI technology. In Proceedings of the 2025 4th International Conference on Educational Innovation and Multimedia Technology (EIMT 2025) (Vol. 38, p. 412). Springer Nature.

Li, S. J., & He, J. K. (2024). Exploration of the integration development of innovation and entrepreneurship education in colleges and universities based on AI technology. Journal of Artificial Intelligence Practice, 7(4).