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Academic Journal of Business & Management, 2024, 6(11); doi: 10.25236/AJBM.2024.061110.

Analysis of the Quality Evaluation System of College Students' Entrepreneurship Education Based on 5G, Big Data and Artificial Intelligence

Author(s)

Jin Wan

Corresponding Author:
Jin Wan
Affiliation(s)

School of Public Administration, Guizhou University of Finance and Economics, Guiyang, Guizhou, China

Abstract

Many countries in the world use 5G technology to develop the future society and accelerate the strategic composition of 5G. Each generation of mobile network standards is designed to respond to changes in the use of mobile communications. The 5G network features high speed, large capacity, low latency and high reliability, which meet people's needs for the network and bring great convenience to people. With the improvement of information technology, all walks of life have developed rapidly, but the education industry lags behind in the process of informatization, and most of them still follow the past education methods. For the evaluation of teaching quality, it is also a simple evaluation based on the quality of students' test results or the evaluation of teachers. The data collection process is cumbersome, and such evaluations lack systematic and comprehensive. Nowadays, the hidden value of big data and artificial intelligence (AI for short) has gradually become the focus of attention of all walks of life, which can bring about better development opportunities for the education system to be more rationally reformed and entrepreneurship education for college students. The purpose of this paper is to use big data and AI technology to study the quality evaluation system of entrepreneurship education for college students. This paper distributed 300 questionnaires through online questionnaires, face-to-face surveys, and email surveys. Finally, 211 colleges, 985 colleges, college students' entrepreneurial enterprise internships, and participation in young entrepreneurs' associations were investigated. In the final survey, 220 valid questionnaires were collected. According to the calculation, the questionnaire has high reliability and validity. In the overall quality index of entrepreneurship in various dimensions of college students, the survival, growth dimension and the internal benefit dimension belong to the middle level, and the innovation dimension and the external benefit dimension belong to the middle and lower level. The average score of the overall quality of college students' entrepreneurship is 2.904, which is lower than 3 points, indicating that the overall quality of college students' entrepreneurship is low. The mean values of the question items of the innovation dimension and the external benefit dimension are 2.836 and 2.529 respectively. In addition, this paper analyzed individual factors according to the gender, personality, educational background, and average annual income of the survey respondents, and concluded that gender has nothing to do with entrepreneurial quality, but personality, educational background, and average annual income had a certain positive correlation with entrepreneurial quality. Therefore, this paper used big data and AI to evaluate the quality of college students' entrepreneurship education and achieves good research results.

Keywords

Entrepreneurship Education for College Students; Big Data; Artificial Intelligence; Questionnaire Survey Method; Quality Evaluation System; 5G Technology

Cite This Paper

Jin Wan. Analysis of the Quality Evaluation System of College Students' Entrepreneurship Education Based on 5G, Big Data and Artificial Intelligence. Academic Journal of Business & Management (2024) Vol. 6, Issue 11: 61-70. https://doi.org/10.25236/AJBM.2024.061110.

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