<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Entrepreneurship and innovative education have emerged as a new paradigm for the development of higher vocational abilities in the modern era, leaping into the global trend and tendency of higher education’s change and growth. The objective of this study is to explore the current state of innovation and entrepreneurship course construction in higher vocational schools. Specifically, we extracted students’ behavioral characteristics using the short-term behavioral sequence of attention and used the SVM model to predict the classification of innovation and business ownership education courses in higher professional colleges. Data mining was used to combine background information from the digital technology era to construct these courses in higher vocational schools. Furthermore, a multivariate linear regression model based on students’ comprehensive ability to innovate and entrepreneurship is established after the problems associated with curriculum construction are analyzed in order to investigate the relationship and impact between curriculum construction and students’ ability to innovate and entrepreneurship. The findings indicate that there is a general lack of an entrepreneurial culture in schools, a poor cultural heritage of entrepreneurship, a gender difference of 6.1, a lack of faculty strength, and a lack of funding, to the tune of 5.2 and 4.4, respectively, and the comprehensive ability of innovation and entrepreneurship of students = 0.30+0.25*curriculum structure+0.54*curriculum implementation+ 0.15*curriculum evaluation. Higher vocational institutions looking to enhance the way their courses on innovation and entrepreneurship are constructed can use the results of this study to guide their research.</p>
</abstract>

Entrepreneurship and innovative education have emerged as a new paradigm for the development of higher vocational abilities in the modern era, leaping into the global trend and tendency of higher education’s change and growth. The objective of this study is to explore the current state of innovation and entrepreneurship course construction in higher vocational schools. Specifically, we extracted students’ behavioral characteristics using the short-term behavioral sequence of attention and used the SVM model to predict the classification of innovation and business ownership education courses in higher professional colleges. Data mining was used to combine background information from the digital technology era to construct these courses in higher vocational schools. Furthermore, a multivariate linear regression model based on students’ comprehensive ability to innovate and entrepreneurship is established after the problems associated with curriculum construction are analyzed in order to investigate the relationship and impact between curriculum construction and students’ ability to innovate and entrepreneurship. The findings indicate that there is a general lack of an entrepreneurial culture in schools, a poor cultural heritage of entrepreneurship, a gender difference of 6.1, a lack of faculty strength, and a lack of funding, to the tune of 5.2 and 4.4, respectively, and the comprehensive ability of innovation and entrepreneurship of students = 0.30+0.25*curriculum structure+0.54*curriculum implementation+ 0.15*curriculum evaluation. Higher vocational institutions looking to enhance the way their courses on innovation and entrepreneurship are constructed can use the results of this study to guide their research.

Research on the Construction Problems of Innovation and Entrepreneurship Education Programs in Higher Vocational Colleges and Universities under the Background of Digital Technology Era

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

Entrepreneurship and innovative education have emerged as a new paradigm for the development of higher vocational abilities in the modern era, leaping into the...

Research on the Construction Problems of Innovation and Entrepreneurship Education Programs in Higher Vocational Colleges and Universities under the Background of Digital Technology Era

Online veröffentlicht: 18. Dez. 2023

Seitenbereich: -

Eingereicht: 28. Feb. 2023

Akzeptiert: 28. Juni 2023

DOI: https://doi.org/10.2478/amns.2023.2.01540

Schlüsselwörter
Data mining, Behavioral sequence, Feature extraction, SVM model, Multiple regression analysis, Innovation and entrepreneurship education

© 2023 Yanwei Xu, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Research on the Construction Problems of Innovation and Entrepreneurship Education Programs in Higher Vocational Colleges and Universities under the Background of Digital Technology Era

Online veröffentlicht: 18. Dez. 2023

Seitenbereich: -

Eingereicht: 28. Feb. 2023

Akzeptiert: 28. Juni 2023

DOI: https://doi.org/10.2478/amns.2023.2.01540

SchlüsselwörterData mining, Behavioral sequence, Feature extraction, SVM model, Multiple regression analysis, Innovation and entrepreneurship education

© 2023 Yanwei Xu, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Data mining, Behavioral sequence, Feature extraction, SVM model, Multiple regression analysis, Innovation and entrepreneurship education