Research on Personalized Learning Path for Entrepreneurship Education in the Background of Artificial Intelligence Plus

The “Artificial intelligence +” action was first proposed in the 2024 Government Work Report, which provides important policy guidance for the intelligent transformation and personalized development of entrepreneurship education, and promotes entrepreneurship education to a higher quality development stage. Under this context, current entrepreneurship education demonstrates limited flexibility and adaptability, making it challenging to meet the increasingly diverse and personalized learning needs of students. Drawing on the goal-oriented and personalized cultivation characteristics of the OBE concept, this paper integrates the requirements of the “Artificial Intelligence +” era. By following the logical framework of “teaching objectives-teaching methods-teaching evaluation,” it explores personalized learning pathways for entrepreneurship education. The aim is to construct a more flexible and efficient entrepreneurship education model that aligns with the demands of the new era through goal-oriented teaching design and technological empowerment, thus addressing the personalized development needs of students and enhancing the overall quality and adaptability of entrepreneurship education.