Construction of talent training mechanism for innovation and entrepreneurship education in colleges and universities based on data fusion algorithm
Nowadays, innovation and entrepreneurship courses occupy a very important place in universities and colleges and have also become an important teaching position in the process of building a new science. Colleges and universities actively respond to the challenge of “mass entrepreneurship and innovat...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-09-01
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| Series: | Frontiers in Psychology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fpsyg.2022.968023/full |
| _version_ | 1811265786918993920 |
|---|---|
| author | Yuanbing Liu |
| author_facet | Yuanbing Liu |
| author_sort | Yuanbing Liu |
| collection | DOAJ |
| description | Nowadays, innovation and entrepreneurship courses occupy a very important place in universities and colleges and have also become an important teaching position in the process of building a new science. Colleges and universities actively respond to the challenge of “mass entrepreneurship and innovation” and define the goals and specifications of the talent training mechanism based on data fusion algorithms to cultivate as much high-quality applied talent as possible. In view of some shortcomings and problems in the current talent training mechanism in universities and colleges, this paper proposes a data fusion algorithm based on information fusion theory and proof theory. The aim is to verify the feasibility of establishing a talent training mechanism for innovation and entrepreneurship education in universities and colleges. And this paper analyzes and explores the data fusion algorithm and the elements of innovation and entrepreneurial talent training, and forms an operating mechanism for entrepreneurial talent training according to social needs. Among them, the efficiency of the data fusion algorithm used by the GM(1,1) model plays a significant role in the final result, and the minimum relative error value is 3.2%. Finally, it is concluded that we should focus on establishing a perfect talent training system for college students’ innovation and entrepreneurship education to improve students’ own comprehensive quality and various abilities, and to solve some social problems that are difficult to find employment in essence. |
| first_indexed | 2024-04-12T20:30:13Z |
| format | Article |
| id | doaj.art-22ffae27803a4f6fa611c35553ce30a4 |
| institution | Directory Open Access Journal |
| issn | 1664-1078 |
| language | English |
| last_indexed | 2024-04-12T20:30:13Z |
| publishDate | 2022-09-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Psychology |
| spelling | doaj.art-22ffae27803a4f6fa611c35553ce30a42022-12-22T03:17:46ZengFrontiers Media S.A.Frontiers in Psychology1664-10782022-09-011310.3389/fpsyg.2022.968023968023Construction of talent training mechanism for innovation and entrepreneurship education in colleges and universities based on data fusion algorithmYuanbing LiuNowadays, innovation and entrepreneurship courses occupy a very important place in universities and colleges and have also become an important teaching position in the process of building a new science. Colleges and universities actively respond to the challenge of “mass entrepreneurship and innovation” and define the goals and specifications of the talent training mechanism based on data fusion algorithms to cultivate as much high-quality applied talent as possible. In view of some shortcomings and problems in the current talent training mechanism in universities and colleges, this paper proposes a data fusion algorithm based on information fusion theory and proof theory. The aim is to verify the feasibility of establishing a talent training mechanism for innovation and entrepreneurship education in universities and colleges. And this paper analyzes and explores the data fusion algorithm and the elements of innovation and entrepreneurial talent training, and forms an operating mechanism for entrepreneurial talent training according to social needs. Among them, the efficiency of the data fusion algorithm used by the GM(1,1) model plays a significant role in the final result, and the minimum relative error value is 3.2%. Finally, it is concluded that we should focus on establishing a perfect talent training system for college students’ innovation and entrepreneurship education to improve students’ own comprehensive quality and various abilities, and to solve some social problems that are difficult to find employment in essence.https://www.frontiersin.org/articles/10.3389/fpsyg.2022.968023/fulldata fusion algorithminnovation and entrepreneurship educationtalent training mechanismconstruction researchinformation fusion |
| spellingShingle | Yuanbing Liu Construction of talent training mechanism for innovation and entrepreneurship education in colleges and universities based on data fusion algorithm Frontiers in Psychology data fusion algorithm innovation and entrepreneurship education talent training mechanism construction research information fusion |
| title | Construction of talent training mechanism for innovation and entrepreneurship education in colleges and universities based on data fusion algorithm |
| title_full | Construction of talent training mechanism for innovation and entrepreneurship education in colleges and universities based on data fusion algorithm |
| title_fullStr | Construction of talent training mechanism for innovation and entrepreneurship education in colleges and universities based on data fusion algorithm |
| title_full_unstemmed | Construction of talent training mechanism for innovation and entrepreneurship education in colleges and universities based on data fusion algorithm |
| title_short | Construction of talent training mechanism for innovation and entrepreneurship education in colleges and universities based on data fusion algorithm |
| title_sort | construction of talent training mechanism for innovation and entrepreneurship education in colleges and universities based on data fusion algorithm |
| topic | data fusion algorithm innovation and entrepreneurship education talent training mechanism construction research information fusion |
| url | https://www.frontiersin.org/articles/10.3389/fpsyg.2022.968023/full |
| work_keys_str_mv | AT yuanbingliu constructionoftalenttrainingmechanismforinnovationandentrepreneurshipeducationincollegesanduniversitiesbasedondatafusionalgorithm |