Research on the Measurement of Entrepreneurship Competence of University Students at Guangzhou Institute of Science and Technology Based on Machine Learning

DOI

10.2991/978-2-38476-611-6_11How to use a DOI?

Keywords

Private Universities; University Student Entrepreneurial Competence; Machine Learning; Fuzzy Evaluation; Guangzhou Institute Of Science And Technology

Abstract

Against the backdrop of the national innovation-driven development strategy and the popularization of higher education, this study focuses on Guangzhou Institute of Science and Technology, a representative private institution in Guangdong Province, to systematically review research progress on entrepreneurial competency theory and evaluation methods. This study employs machine learning as its technical foundation to construct a fuzzy evaluation system comprising four dimensions—entrepreneurial cognitive ability, entrepreneurial technical ability, entrepreneurial character and literacy, and resource integration ability—with 16 secondary indicators. The Delphi method was used to calculate indicator weights, and empirical evaluation was conducted using questionnaire survey data. An integrated learning algorithm trained on sample data constructs a predictive model for entrepreneurial competency among university students, revealing the influence weights and nonlinear correlations of each indicator on competency. Findings indicate that Guangzhou Institute of Science and Technology students exhibit overall moderate entrepreneurial competency, with notable deficiencies in resource integration and risk management skills. Significant clustering patterns emerge in competency differences across majors and grade levels. Based on feature importance analysis from the machine learning model and aligned with the university’s innovation and entrepreneurship education practices, targeted cultivation pathways are proposed across four dimensions: curriculum optimization, practical platform upgrades, faculty development, and support mechanism refinement. This provides an intelligent solution offering both theoretical reference and practical insights for enhancing entrepreneurial competency among students at private universities in Guangdong Province.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 3.0 International License (http://creativecommons.org/licenses/by-nc/3.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Yisha Huan
AU  - Yonglong Yu
AU  - Hui Xu
PY  - 2026
DA  - 2026/09/07
TI  - Research on the Measurement of Entrepreneurship Competence of University Students at Guangzhou Institute of Science and Technology Based on Machine Learning
BT  - Proceedings of the 2026 12th International Conference on Digital Humanities and Frontiers in Social Sciences (DHFSS 2026)
PB  - Atlantis Press
SP  - 81
EP  - 100
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-611-6_11
DO  - 10.2991/978-2-38476-611-6_11
ID  - Huan2026
ER  -