Abstract
This study aims to explore how GenAI can be transformed into an AI coach with a "Socratic spirit" and examines its effectiveness in constructing the Business Model Canvas (BMC) within entrepreneurship education through the lens of Chi’s (2009) ICAP cognitive engagement framework. Current online entrepreneurship education faces a structural dilemma where scalability and depth of instruction are difficult to balance simultaneously. Traditional linear video learning often places students in a passive recipient role. Furthermore, undesigned AI implementation easily leads to "cognitive offloading," meaning students treat AI as a proxy worker rather than a thinking partner, which fails to foster entrepreneurial thinking.
To address this issue, this study adopts a quasi-experimental design to systematically compare the efficacy differences between "Linear Video Learning (Route 1)" and "Socratic AI Coach (Route 2)". The core design of Route 2 lies in the "Learning-by-conversing" paradigm. It utilizes AI questioning, counter-questioning, and guidance to compel learners into the highest "Interactive" cognitive level. The study hypothesizes that the Socratic AI coach can significantly enhance the quality of BMC outputs (including logical consistency, value proposition, and market feasibility), entrepreneurial self-efficacy, and epistemic curiosity through immediate cognitive feedback.
Additionally, this study will deeply clarify the interplay between the "Matthew Effect" and the "Equalizing Effect". It investigates how learners' prior knowledge, learning fit, and learning challenge (desirable difficulties) moderate the aforementioned learning outcomes. The expected contribution of this project lies in extending the ICAP framework from interpersonal interaction to human-AI teaming contexts and verifying the function of AI as an "affective and motivational scaffolding". Finally, the research results will be translated into concrete Prompt Engineering design principles and human-AI collaboration teaching guidelines. This provides a scalable and adaptive digital transformation blueprint for educational settings with insufficient teaching resources.