The Current Situation, Logit Impact Analysis, and Countermeasures of Large Class Enrollment and Diversion Training in Higher Education

This paper studies the split training of major enrollment in Chinese universities, and conducts an empirical study on the major selection of major enrollment students. Firstly, we analyzes the development of foreign colleges and universities' major enrollment diversion training, and also compares the operation mechanism of foreign colleges and universities' business administration major enrollment diversion training. The top five universities in the United States, are Harvard University, Yale University, Princeton University, University of California, Berkeley, and Stanford University, each of them is determined according to its situation, and there is no national unified undergraduate major catalog like ours. Although the names are different, the basis of the setting is still basically similar, mainly in a certain discipline or a certain field. These five universities have some common features. This paper also compares the development and implementation of the diversion training of major enrollment in domestic colleges and universities. For example, in 2002, Qinghua University enrolled 182 students for the first time according to the major categories of business administration, and in May 2005, these 182 students were divided into finance, accounting, economics and information management, and other professional directions; with the practice and development of this new training mode, universities and students gradually appreciate the advantages brought by this mode to talent training, and the enrollment of large categories has been more and more gradually understood and accepted by society and students. Secondly, this article conducts an investigation and empirical analysis of the major choices of Chinese college students in the major categories. This empirical analysis selected 85 college students from 18 schools for a questionnaire survey. Thirdly, taking Anhui University of Architecture as an example, based on the hypothesis, we constructs an econometric model that affects the diversion of major enrollment and training, and studies the factors that affect the diversion of major enrollment and training in Chinese universities. The research results show that, in terms of the training of foreign universities and colleges, ① the students with major diversion not only choose their majors after they have made clear their interests, but also can easily change their majors if their interests change after choosing their majors. ② Foreign college students have great freedom in choosing majors. The school cannot accept all interested students, but it also tries to meet the needs and interests of students as far as possible under the conditions of teaching resources. ③ Foreign colleges and universities are basically based on the diversion rules formulated by schools and colleges, students' academic achievements and individual voluntary diversion. The research on the diversion and cultivation of major enrollment in domestic colleges and universities shows that the largest proportion of college students choose majors due to their personal interests, accounting for 32.94%. The second is influenced by teachers, friends, and classmates, accounting for 24.71%; The reasons for parents' willingness, good employment prospects, random choice, and good professional ranking accounted for 21.18%, 12.94%, 4.71%, and 3.53%, respectively. No one chooses a major because of their college entrance exam scores. This article constructs a Logit model for the influencing factors of large category enrollment diversion training, and the research results are as follows: the influence of personal interests, employment opportunities, parents and family members on the major selection of major enrollment students has a great impact, and the influence of learning ability, gender and birth place on the major selection of major enrollment students is not as significant as expected. Finally, this paper puts forward relevant suggestions.