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<p>The application of big data in various fields has become one of the important trends in the development of the information age, and in this context, educational reform in the context of big data has also become an important issue in the field of education. In this paper, we design a “four-in-one” innovation and entrepreneurship education model and combine the big data-driven algorithms, including association rules and clustering mining, to realize the driving of the education model. Specifically, the systematic clustering algorithm is used to analyze the students’ classroom performance, explore the association rules between the student’s classroom performance and their course grades, and finally, this paper applies the “four-in-one” education model to the classroom teaching of innovation and entrepreneurship courses to study the practical application effect of the model. The results show that after the cluster analysis of the student’s classroom performance data, three categories of students with different levels of classroom performance were formed, accounting for 49.46%, 41.68%, and 8.86%, respectively. After three applications of the new education model, the teacher’s participation in classroom speech, questioning, and silence decreased by 12.75, 5.47, and 3.54 percentage points, respectively. In contrast, the student’s speech and questioning rates increased from 5.86% and 10.98% to 8.37% and 19.84%, respectively. The “four-in-one” innovation and entrepreneurship education model designed in this paper has good practical application effects.</p>
</abstract>

The application of big data in various fields has become one of the important trends in the development of the information age, and in this context, educational reform in the context of big data has also become an important issue in the field of education. In this paper, we design a “four-in-one” innovation and entrepreneurship education model and combine the big data-driven algorithms, including association rules and clustering mining, to realize the driving of the education model. Specifically, the systematic clustering algorithm is used to analyze the students’ classroom performance, explore the association rules between the student’s classroom performance and their course grades, and finally, this paper applies the “four-in-one” education model to the classroom teaching of innovation and entrepreneurship courses to study the practical application effect of the model. The results show that after the cluster analysis of the student’s classroom performance data, three categories of students with different levels of classroom performance were formed, accounting for 49.46%, 41.68%, and 8.86%, respectively. After three applications of the new education model, the teacher’s participation in classroom speech, questioning, and silence decreased by 12.75, 5.47, and 3.54 percentage points, respectively. In contrast, the student’s speech and questioning rates increased from 5.86% and 10.98% to 8.37% and 19.84%, respectively. The “four-in-one” innovation and entrepreneurship education model designed in this paper has good practical application effects.

Research on Innovation and Entrepreneurship Education Reform of Electrical Engineering and Automation Professionals Driven by Big Data

Industry Education Integration Development Center Changchun Technical University of Automobile

Changchun Technical University of Automobile

Applied Mathematics and Nonlinear Sciences

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

The application of big data in various fields has become one of the important trends in the development of the information age, and in this context,...

Research on Innovation and Entrepreneurship Education Reform of Electrical Engineering and Automation Professionals Driven by Big Data

Publié en ligne: 05 août 2024

Pages: -

Reçu: 08 avr. 2024

Accepté: 30 juin 2024

DOI: https://doi.org/10.2478/amns-2024-1875

Mots clés
Big data-driven, Association rules, Clustering, Innovation and entrepreneurship education

© 2024 Ning Li et al., published by Sciendo

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

Research on Innovation and Entrepreneurship Education Reform of Electrical Engineering and Automation Professionals Driven by Big Data

Publié en ligne: 05 août 2024

Pages: -

Reçu: 08 avr. 2024

Accepté: 30 juin 2024

DOI: https://doi.org/10.2478/amns-2024-1875

Mots clésBig data-driven, Association rules, Clustering, Innovation and entrepreneurship education

© 2024 Ning Li et al., published by Sciendo

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

Mots clés
Big data-driven, Association rules, Clustering, Innovation and entrepreneurship education