Innovating Entrepreneurship Education in The Era of Generative AI (Gai): A Qualitative Synthetic Study

Abstract

The emergence of Generative Artificial Intelligence (GAI), exemplified by large language models such as ChatGPT, has catalyzed a revolutionary shift in higher education, particularly within the domain of entrepreneurship education (EE). This paper presents an in-depth qualitative synthetic study aimed at analyzing how GAI is fundamentally reshaping the entrepreneurship training ecosystem by transforming instructional models, curricular structures, and the psychological mechanisms of learners. The research findings indicate that GAI functions as a strategic "Copilot," assisting students in opportunity recognition, the optimization of business model canvases (BMC), and the simulation of real-world scenarios with unprecedented efficiency. A critical discovery of this study is that GAI significantly mitigates the "psychological distance" toward entrepreneurship, rendering abstract business goals more concrete, feasible, and immediate through cognitive and experiential support mechanisms. However, the study also cautions against systemic risks, including data "hallucinations," the potential erosion of critical thinking due to over-reliance, and challenges concerning academic integrity. The paper proposes an integrated pedagogical framework that emphasizes a sustainable symbiosis between humans and AI, where technology serves to amplify creative capacity rather than replace independent human judgment. The study concludes that entrepreneurship education must transition from passive knowledge transmission to experiential competency development grounded in AI literacy and entrepreneurial ethical responsibility.