Research on Curriculum Design and Teaching Effect Enhancement Methods Based on Intelligent Technology in Innovation and Entrepreneurship Education System of Colleges and Universities

Abstract

The future career prospects and required skills for the courses being studied are one of the key reference directions for the design of innovation and entrepreneurship courses. This paper proposes an innovation and entrepreneurship online course design process based on the Moodle platform, comprising three key components: pre-course preparation, learning unit design, and course management and evaluation. The association rule mining algorithm is selected as the analysis algorithm for mining the relationships between job positions, courses, and required skills. A sample of 230 third-year students from D University's innovation and entrepreneurship course was selected as the research subject to generate association rules linking innovation and entrepreneurship job positions, professional courses, and the skills required for job positions. Under the generated association rules, innovation and entrepreneurship course instruction was conducted, and the course received positive evaluations from over 140 students in terms of “likability” and “enhancing critical thinking skills.”