Research on the practice of innovation and entrepreneurship education in universities under the environment of big data

Entrepreneurship education is an educational concept and teaching mode which is formed in socio-economic development. Universal entrepreneurship education has both the long-term value of realizing the transformation and upgrading of industrial structure and the practical value of alleviating the employment problem of college students. Therefore, how establishing the innovation and entrepreneurship education model in higher education under the environment of big data analysis is a major issue at present and also a key element to achieving the construction goal of modern higher education. In this paper, the entrepreneurship data of colleges and universities are deeply mined by association rules of the Apriori algorithm and clustering analysis of the FCM algorithm. As a result, an entrepreneurship education model is established and practiced in university classrooms. According to the results of the survey after the practice of the entrepreneurship education model, it can be seen that the number of students' participation in innovation and entrepreneurship lectures has increased, and the proportion reached 50%. Innovation and entrepreneurship clubs formed on campus and discipline competitions accounted for 16.00% and 18.00%, respectively. College students' motivations for learning innovation and entrepreneurship education courses are mainly ability enhancement, interest-driven, credit demand, future planning, and influence of others, and they account for 34.00%, 26.00%, 21.00%, 14.00%, and 5.00%, in that order. These indicate that the current group of college students considers the pursuit of knowledge and the improvement of their abilities as the main reasons for undertaking entrepreneurial learning activities. After practicing the entrepreneurship education model, people have increased their knowledge of entrepreneurship theory and are more willing to participate in various entrepreneurial activities.