Author(s)

Jianyong Shen ¹

Affiliation(s)

¹ University of Sanya, Sanya, Hainan, 572022, China

Corresponding Author

Jianyong Shen

ABSTRACT

China has also continuously applied it to practice in its development process, and has carried out a lot of research and practice. Experiments and promotion have been carried out in major colleges and universities, which has laid a solid foundation for college students' entrepreneurial education thoughts and management methods. This paper used data mining technology to evaluate the teachers in entrepreneurship teaching, so as to improve the entrepreneurial quality of college students and promote their transformation from entrepreneurship to employment. The results in this paper showed that teachers in the age group A2 (31-35) had the highest proportion of excellent teaching quality evaluation results among all age groups, accounting for 47%; teachers with the title of J3 (associate professor) had the highest proportion of excellent teaching quality evaluation results among all teacher titles, accounting for 82%; teachers with E2 (master's degree) education had the highest proportion of excellent teaching quality evaluation results among all teachers' qualifications, accounting for 71.4%. According to the data, teachers of moderate age with associate professor or above and master's degree or above are more likely to teach excellent students, thereby promoting the further improvement of the entrepreneurial management education models in colleges and universities.

KEYWORDS

Entrepreneurship Education in Colleges and Universities, Data Mining, Apriori Algorithm, Quality Evaluation

CITE THIS PAPER

Jianyong Shen, Exploration of the Management Mode and Quality Evaluation of Entrepreneurship Education in Colleges and Universities Based on Data Mining. Transactions on Comparative Education (2024) Vol. 6: 145-153. DOI: http://dx.doi.org/10.23977/trance.2024.060121.

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