About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
e-Learning, e-Education, and Online Training. 8th EAI International Conference, eLEOT 2022, Harbin, China, July 9–10, 2022, Proceedings, Part I

Research Article

Simulation Analysis of Entrepreneurial Behavior Selection Mechanism of Higher Vocational College Students Based on Teaching Big Data

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-21161-4_42,
        author={Jing Zhu and Xiang Zou},
        title={Simulation Analysis of Entrepreneurial Behavior Selection Mechanism of Higher Vocational College Students Based on Teaching Big Data},
        proceedings={e-Learning, e-Education, and Online Training. 8th EAI International Conference, eLEOT 2022, Harbin, China, July 9--10, 2022, Proceedings, Part I},
        proceedings_a={ELEOT},
        year={2023},
        month={3},
        keywords={Teaching big data Higher vocational colleges Entrepreneurial behavior Selection mechanism Student subject Personnel training},
        doi={10.1007/978-3-031-21161-4_42}
    }
    
  • Jing Zhu
    Xiang Zou
    Year: 2023
    Simulation Analysis of Entrepreneurial Behavior Selection Mechanism of Higher Vocational College Students Based on Teaching Big Data
    ELEOT
    Springer
    DOI: 10.1007/978-3-031-21161-4_42
Jing Zhu1,*, Xiang Zou2
  • 1: Department of Business and Trade, Guangzhou Vocational College of Technology & Business
  • 2: School of Accounting and Finance, Wuxi Vocational Institute of Commerce
*Contact email: zzjj21@yeah.net

Abstract

In order to make higher vocational students’ entrepreneurial behavior selection mechanism more comprehensive and reduce the proportion of noise in the data, a higher vocational college students’ entrepreneurial behavior selection mechanism is designed. Obtain the talent training objectives of higher vocational colleges, strengthen the training of entrepreneurial skills, identify the characteristics of entrepreneurial decision-making, extract the constituent elements of students’ entrepreneurial behavior by using teaching big data, obtain other required entrepreneurial resources through specific channels, and build a selection mechanism. Experimental results: the average proportion of noise data in the entrepreneurial behavior selection mechanism of Higher Vocational College Students in this paper is 5.397%. After integrating the teaching big data, the entrepreneurial behavior selection mechanism of higher vocational college students is more comprehensive and reduces the proportion of noise.

Keywords
Teaching big data Higher vocational colleges Entrepreneurial behavior Selection mechanism Student subject Personnel training
Published
2023-03-09
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-21161-4_42
Copyright © 2022–2025 ICST
EBSCOProQuestDBLPDOAJPortico
EAI Logo

About EAI

  • Who We Are
  • Leadership
  • Research Areas
  • Partners
  • Media Center

Community

  • Membership
  • Conference
  • Recognition
  • Sponsor Us

Publish with EAI

  • Publishing
  • Journals
  • Proceedings
  • Books
  • EUDL