Optimization of Ecological Mode of College Students' Innovation and Entrepreneurship Education Based on a Big Data Analysis Model. (23rd August 2022)
- Record Type:
- Journal Article
- Title:
- Optimization of Ecological Mode of College Students' Innovation and Entrepreneurship Education Based on a Big Data Analysis Model. (23rd August 2022)
- Main Title:
- Optimization of Ecological Mode of College Students' Innovation and Entrepreneurship Education Based on a Big Data Analysis Model
- Authors:
- Yu, Miao
Lu, Yanju
Wang, Hongliang - Other Names:
- Chen Miaochao Academic Editor.
- Abstract:
- Abstract : However, the number of college students enrolling in our country has only begun to increase on a large scale in the 21st century. As educational big data gets more and more attention, it has its own distinct characteristics in the field of education and at the same time consolidates the overall trend of big data development. The countermeasure analysis of innovation and entrepreneurship education under the reform of the education supply side has become a subject to be explored in an all-round way. This paper is mainly aimed at the importance of a big data analysis model to college students, explores the current development status of innovation and entrepreneurship education for college students, finds some problems in the application of big data, and improves the existing problems based on the purpose.
- Is Part Of:
- Journal of function spaces. Volume 2022(2022)
- Journal:
- Journal of function spaces
- Issue:
- Volume 2022(2022)
- Issue Display:
- Volume 2022, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 2022
- Issue:
- 2022
- Issue Sort Value:
- 2022-2022-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-08-23
- Subjects:
- Function spaces -- Periodicals
515.7305 - Journal URLs:
- https://www.hindawi.com/journals/jfs/ ↗
- DOI:
- 10.1155/2022/4357354 ↗
- Languages:
- English
- ISSNs:
- 2314-8896
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 23331.xml