Abstract
High vocation education is an important foundation for China to cultivate high teaching quality and technical and skilled talents. In the new era, the acceleration of the development of modern vocational education is put in a more prominent position. It is proposed that we should adhere to moral education, closely combine this with the needs of technological change and industrial upgrading, constantly improve the quality of high vocational education teaching, and cultivate more technical and skilled talents with both political integrity and ability for modernization construction. Under the background of social informatization, using artificial intelligent technology to solve these problems can play an important role for improving the teaching quality of high vocational education. This paper proposed a data mining approach in promoting student satisfaction with the teaching quality of high vocational education. We design a questionnaire for Students’ satisfaction with the teaching quality of basic entrepreneurship curriculum. We take the survey data of vocation education as an example and use mining technology analysis software to understand the current status of the teaching quality of basic entrepreneurship curriculum. The results determine the main factors affecting Students’ satisfaction with teaching quality. The results of this paper can be used in student management, education strategy, student education satisfaction, and teaching quality in high vocation college education, and to improve the teaching quality of fundamentals of entrepreneurship curriculum in high vocation education.
Highlights
Vocational education is an important part of the national education system and human resource development
According to the data mining and analysis of the questionnaire, students in higher vocational colleges are at a low level of positive satisfaction with the structural variables and overall satisfaction of the entrepreneurial foundation course
From the perspective of Students’ personal characteristics, the factors that have a significant impact on the satisfaction of basic entrepreneurship courses are the origin of students and their major
Summary
Vocational education is an important part of the national education system and human resource development. In the era of social information, the application of data mining technology to the evaluation of teaching quality in higher vocational colleges has gradually become an important way for higher vocational colleges to improve the quality of teaching and talent training (Liu, 2019; Dai, 2020). While the Internet has brought infinite convenience to people’s access to information, it has brought some problems, the most important of which is the lack of supervision and filtering, coupled with the high degree of disorder of information resources on the Internet, and the existence of large amounts of duplication and uselessness. Humans urgently need to find a way to quickly and accurately discover what they need from the massive information resources on the Internet, and a way to extract effective information. In order to solve this problem, data mining technology is used (Song, 2018; Ye, 2020)
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