Affiliation:
1. Youth League Committee, Zhongnan University of Economics and Law, Wuhan 430073, Hubei, China
2. School of Mathematics and Statistics, Zhongnan University of Economics and Law, Wuhan 430073, Hubei, China
Abstract
The idea of infusing entrepreneurship into education has incited much enthusiasm in the last few decades. A myriad of effects have been stated to result from this, including economic growth, job creation, and increased societal resilience, as well as personal growth, increased school involvement, and improved equality. However, in addition to the purported favorable consequences, putting this theory into practice has presented major challenges. The study aims to improve the success rate of college students' entrepreneurship and strengthen their entrepreneurship education. First, two aspects of the current state of political and ideological education are examined: ideological education and entrepreneurship education, and ideological education and big data technology. Next, ideological education, entrepreneurship education, and big data are integrated to implement an impact index evaluation model of college students' entrepreneurship education from the perspective of the Internet under big data. Finally, based on the implemented model, seven influencing indicators of entrepreneurship education curriculum, practical education, educational equipment, educational awareness, basic ability, social ability, and data usability are obtained. Through detailed analysis experiments, it is found that three factors have the greatest impact on college students' entrepreneurship education, including basic ability, data usability, and psychological pressure resistance in the face of difficulties. The results show that the cultivation of basic entrepreneurial ability and the development of psychological quality should be enhanced in college students' entrepreneurship education, providing a definite reference base for college students' entrepreneurship education.
Subject
Computer Networks and Communications,Computer Science Applications
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