Xie Yingying, Wang Shaofeng
School of Innovation and Entrepreneurship, Zhejiang Wanli University, Ningbo, 315100, China.
International Business School, Fuzhou University of International Studies and Trade, Fuzhou, 350202, China.
Sci Rep. 2025 Jul 5;15(1):24079. doi: 10.1038/s41598-025-09545-3.
This study investigates how Generative Artificial Intelligence Supported Entrepreneurship Education (GAISEE) influences university students' entrepreneurial intentions through a quantitative analysis of Chinese higher education institutions. Using structural equation modeling with data from 346 university students, we demonstrate that GAISEE significantly enhances both entrepreneurial self-efficacy (β = 0.523, p < 0.001) and entrepreneurial intention (β = 0.244, p < 0.001). The research reveals that entrepreneurial self-efficacy mediates the relationship between GAISEE and entrepreneurial intention, while the university entrepreneurial environment moderates these relationships. Notably, an optimized university environment strengthens the positive effects of GAISEE on both entrepreneurial self-efficacy (β = 0.333, p < 0.001) and entrepreneurial intention (β = 0.207, p < 0.001). These findings provide empirical evidence for the effectiveness of integrating generative AI technology in entrepreneurship education and highlight the importance of supportive university ecosystems in fostering student entrepreneurship.
本研究通过对中国高等教育机构的定量分析，探讨生成式人工智能支持的创业教育（GAISEE）如何影响大学生的创业意向。利用来自346名大学生的数据进行结构方程建模，我们证明GAISEE显著提高了创业自我效能感（β = 0.523，p < 0.001）和创业意向（β = 0.244，p < 0.001）。研究表明，创业自我效能感在GAISEE与创业意向之间起中介作用，而大学创业环境调节这些关系。值得注意的是，优化的大学环境增强了GAISEE对创业自我效能感（β = 0.333，p < 0.001）和创业意向（β = 0.207，p < 0.001）的积极影响。这些发现为将生成式人工智能技术整合到创业教育中的有效性提供了实证证据，并强调了支持性大学生态系统在促进学生创业方面的重要性。
