In order to understand the current achievements of vocational students' entrepreneurship, the author creates a model of university students' innovativeness and entrepreneurship. This study analyzes the quality requirements of stakeholders, such as schools and students, for higher education innovation and entrepreneurship education based on research and practical results obtained in Finland and abroad. With the help of probability theory statistics, the relevant indicators are classified, the innovation and entrepreneurship system of vocational educational institutions is built, and the evaluation standards for each indicator are presented. Based on this, the weight of each index is determined and the innovation and entrepreneurship education model of vocational colleges is built. Through the analysis of index scores and total scores at all levels of X Vocational and Technical College and J Vocational College, the total score for innovation and entrepreneurship education at X Vocational College is 3.307 and the total score for innovation and entrepreneurship is 3.307. The education of the J vocational and technical college is 2.743, so the applicability of the model is good.

In order to improve the management efficiency of college students' associations, the author combined with ant colony algorithm to study the student management model of college student associations. Firstly, based on the study of the basic idea, principle, process and application scope of ant colony algorithm under the framework of swarm intelligence, several improved versions of the well-known ant colony algorithm are studied in depth, it provides a basis and reference for the research work of core theory and practical engineering application, secondly, the author will introduce the theoretical framework of the diagnosis and evaluation of college student associations. Through extensive literature review, documents, conducted a questionnaire survey in the student associations of colleges and universities in Dalian, and collected a large number of detailed first-hand materials. The model obtained by using ant colony algorithm plays an important role in management.

In order to evaluate the success rate of students’ entrepreneurship more effectively based on a nonlinear differential equation, the author proposes a model for evaluating the success rate of students’ entrepreneurship based on a nonlinear differential equation. These models allow for a score set on the cost of higher education entrepreneurship and determine all higher education entrepreneurship based on it, realizing the cost optimization of higher education entrepreneurship. The simulation results show that the model has scoring and improved student entrepreneurship.