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<p>To make better integration of curriculum thinking education and undergraduate college innovation and entrepreneurship education, this paper takes the data of resources related to curriculum thinking education and undergraduate college innovation and entrepreneurship education, inputs them into a multi-sensor information fusion based on Bayesian estimation, calibrates the data and eliminates invalid data. The optimal fusion number is determined by calculating the confidence distance measure of the sensor readings. Build a web-based teaching collaboration platform based on information fusion. To verify that the built teaching collaboration platform can integrate resources such as teaching contents and teaching objectives of both, thus achieving educational reform. The simulation results show that the number of students who choose to start their own business is 1,150 more than those who do not use the platform, and the success rate of starting a business is 36% higher than those who do not use the platform when the web-based teaching collaboration platform is used to educate students on curriculum thinking and politics and innovation and entrepreneurship in undergraduate colleges and universities. From the above results, it is clear that the built platform can promote the cultivation of innovative talents in undergraduate colleges and universities.</p>
</abstract>

To make better integration of curriculum thinking education and undergraduate college innovation and entrepreneurship education, this paper takes the data of resources related to curriculum thinking education and undergraduate college innovation and entrepreneurship education, inputs them into a multi-sensor information fusion based on Bayesian estimation, calibrates the data and eliminates invalid data. The optimal fusion number is determined by calculating the confidence distance measure of the sensor readings. Build a web-based teaching collaboration platform based on information fusion. To verify that the built teaching collaboration platform can integrate resources such as teaching contents and teaching objectives of both, thus achieving educational reform. The simulation results show that the number of students who choose to start their own business is 1,150 more than those who do not use the platform, and the success rate of starting a business is 36% higher than those who do not use the platform when the web-based teaching collaboration platform is used to educate students on curriculum thinking and politics and innovation and entrepreneurship in undergraduate colleges and universities. From the above results, it is clear that the built platform can promote the cultivation of innovative talents in undergraduate colleges and universities.

Research on Curriculum Civic Education and Innovation and Entrepreneurship Education Reform in Undergraduate Universities under the Web-based Teaching Collaboration Platform

Applied Mathematics and Nonlinear Sciences

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

To make better integration of curriculum thinking education and undergraduate college innovation and entrepreneurship education, this paper takes the data of...

Research on Curriculum Civic Education and Innovation and Entrepreneurship Education Reform in Undergraduate Universities under the Web-based Teaching Collaboration Platform

Online veröffentlicht: 09. Juni 2023

Seitenbereich: -

Eingereicht: 25. Juli 2022

Akzeptiert: 15. Dez. 2022

DOI: https://doi.org/10.2478/amns.2023.1.00382

Schlüsselwörter
Bayesian estimation, Multi-sensor, Information fusion, Confidence distance measure, Educational reform

© 2023 Yanjie Liu et al., published by Sciendo

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

Research on Curriculum Civic Education and Innovation and Entrepreneurship Education Reform in Undergraduate Universities under the Web-based Teaching Collaboration Platform

Online veröffentlicht: 09. Juni 2023

Seitenbereich: -

Eingereicht: 25. Juli 2022

Akzeptiert: 15. Dez. 2022

DOI: https://doi.org/10.2478/amns.2023.1.00382

SchlüsselwörterBayesian estimation, Multi-sensor, Information fusion, Confidence distance measure, Educational reform

© 2023 Yanjie Liu et al., published by Sciendo

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

Schlüsselwörter
Bayesian estimation, Multi-sensor, Information fusion, Confidence distance measure, Educational reform