An AI Technology-Empowered Practice Teaching Model for Innovation and Entrepreneurship of College Students

Abstract

Intelligent technologies are continuously evolving and reengineering the underlying logic of talent cultivation in higher education.
Traditional practice teaching for Innovation and Entrepreneurship has long been confronted with structural problems such as limited scenarios, monolithic evaluation models, and supply-demand misalignment. This paper systematically reviews the internal mechanisms of the
integration of AI and practice teaching for Innovation and Entrepreneurship, deeply analyzes the practical obstacles in the process of technology empowerment from three dimensions: educational psychology, resource supply, and educational evaluation. Then, it constructs a practice
teaching model adapting to the intelligent era from two aspects: teaching scenario reconstruction and collaborative education mechanism optimization, and proposes three implementation pathways: virtual-real combined practical training, human-AI collaborative teaching, and multistakeholder ecological synergy, aiming to address theory-practice disconnection, establish a personalized, practical and sustainable Innovation
and Entrepreneurship system, and provide theoretical reference and actionable blueprints for the digital-intelligent teaching reform in higher
education institutions.