Paper
1 June 2023 Practical teaching mode and cultivation path of college students' innovation ability under the background of big data
Qun Liang, Hai Wang
Author Affiliations +
Proceedings Volume 12625, International Conference on Mathematics, Modeling, and Computer Science (MMCS2022); 126250H (2023) https://doi.org/10.1117/12.2670110
Event: International Conference on Mathematics, Modeling and Computer Science (MMCS2022),, 2022, Wuhan, China
Abstract
The era of big data not only provides broad ideas for technological innovation, but also brings research ideas that are different from the traditional knowledge category. It can be directly used to solve problems by applying it to practical teaching and training of college students' innovation ability. Understanding the current situation of college students' education and training, it is found that the cultivation of practical innovation ability lacks accurate guidance, and the cultivation of students' innovation consciousness and ability does not meet the current educational requirements. Therefore, on the basis of understanding the development background of the new era and thinking about the cultivation of college students' innovation ability, this paper builds an evaluation model of college students' innovation and entrepreneurship ability with big data technology as the core, and puts forward appropriate teaching guidance countermeasures.
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Qun Liang and Hai Wang "Practical teaching mode and cultivation path of college students' innovation ability under the background of big data", Proc. SPIE 12625, International Conference on Mathematics, Modeling, and Computer Science (MMCS2022), 126250H (1 June 2023); https://doi.org/10.1117/12.2670110
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KEYWORDS
Data modeling

Education and training

Matrices

Reliability

Lithium

Online learning

Analytical research

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