Analysis of SEM Model for Student Employment Choice in the Era of Big Data

DOI

10.2991/978-94-6463-040-4_49How to use a DOI?

Keywords

college students' employment place choice; structure equation model; factor analysis

Abstract

At present, Zhoushan's natural population growth rate is the lowest in Zhejiang, and the ageing in the province is the most serious. From a macro point of view, Zhoushan has to occupy the advantage in the problem of "graduates stay in Zhoushan" to relieve the pressure and sense of urgency brought by the considerable decline in the natural growth rate and to pave the way for the future from the development vision of the strategy of strengthening the country with talent. This study first the qualitative research, the method of research, using the literature analysis, based on the previous analysis of employment impact factors, through classification, screening and sorting, the following final summary and summary of the following more typical and universal factors: urban factors; Natural factors; employment economy; emotional factors; family economy. Then, this study adopts a quantitative analysis method based on the above five research objectives and factors. This study designs a high correlation with each factor forms a questionnaire through cluster analysis to check the correlation of factors and problems and optimizes and modifies the factor classification and problem set to find out the correlation between five factors and the influence of five factors for Zhoushan students. After that, this study draws the corresponding conclusion, puts forward perfect measures and a more feasible scheme, and establishes the corresponding structure equation model.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Xiao Yang
AU  - Yuting Ye
AU  - Syamsul Nor Azlan Mohamad
AU  - Fang Yue
AU  - Wenxuan Ren
PY  - 2022
DA  - 2022/12/27
TI  - Analysis of SEM Model for Student Employment Choice in the Era of Big Data
BT  - Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022)
PB  - Atlantis Press
SP  - 322
EP  - 328
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-040-4_49
DO  - 10.2991/978-94-6463-040-4_49
ID  - Yang2022
ER  -