The research explores the transformative integration of Artificial Intelligence (AI) into technological entrepreneurship education, addressing significant gaps in traditional pedagogical methods, particularly those outlined in Bloom’s Taxonomy. Despite various revisions, Bloom’s framework is increasingly inadequate in meeting the dynamic and complex demands of modern educational environments. The study proposes an innovative AI-enhanced educational model that positions AI as a central element in the learning ecosystem. This model conceptualizes AI’s roles as an Advisor, Mediator, and Supplementary Assistant, facilitating more personalized, efficient, and collaborative educational experiences.

The research methodology includes a comprehensive literature review and an in-depth case study of a technological entrepreneurship course. The findings demonstrate that AI significantly enhances traditional methods by providing real-time feedback, automating routine tasks, and bolstering cognitive processes such as analyzing, evaluating, and creating. AI’s capability to personalize learning experiences, support collaborative projects, and aid decision-making is highlighted as crucial for modernizing education in the digital age.

Furthermore, the study underscores the importance of ethical considerations and robust governance in AI’s deployment, advocating for a balanced integration that complements rather than replaces human cognitive processes. This research contributes to the ongoing discourse on the future of education by offering a structured, scalable framework for AI integration, with significant practical implications for educators and policymakers aiming to enhance teaching and learning processes through advanced AI technologies.