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19 July 2024 Design of college students' innovation and entrepreneurship education quality evaluation model based on grey relational degree algorithm
Ping Ye, Cheok Mui Yee
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Proceedings Volume 13213, International Conference on Image Processing and Artificial Intelligence (ICIPAl 2024); 1321338 (2024) https://doi.org/10.1117/12.3035512
Event: International Conference on Image Processing and Artificial Intelligence (ICIPAl2024), 2024, Suzhou, China
Abstract
The purpose of this paper is to propose a quality evaluation model of college students' innovation and entrepreneurship education based on grey relational degree algorithm, which aims to help higher education institutions and educational decision-makers accurately evaluate the quality of college students' innovation and entrepreneurship education. Firstly, through literature review, this paper analyzes the existing problems in the evaluation of innovation and entrepreneurship education. Then, the principle and basic steps of grey relational degree algorithm are introduced. Then, a quality assessment model of college students' innovation and entrepreneurship education based on grey relational degree algorithm is constructed and verified by case data. Finally, the model is evaluated and analyzed, and the future research direction is prospected.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Ping Ye and Cheok Mui Yee "Design of college students' innovation and entrepreneurship education quality evaluation model based on grey relational degree algorithm", Proc. SPIE 13213, International Conference on Image Processing and Artificial Intelligence (ICIPAl 2024), 1321338 (19 July 2024); https://doi.org/10.1117/12.3035512
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KEYWORDS
Data modeling
Data processing
Design
Mathematical optimization
Detection and tracking algorithms
Systems modeling
Data acquisition
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