Study on Improvement in Employment Quality of College Students

DOI

10.2991/assehr.k.201214.173How to use a DOI?

Keywords

employment quality, data mining, multiple logistic regression, college students

Abstract

This research mainly explored which factors can affect the employment quality of college students based on human capital and social capital. Firstly, the work took the graduation destination and salary level as the measurement indexes of employment quality, and then used the feature selection test and multiple logistic regression as research methods. Our study demonstrated that students with rich knowledge and human capital and rich social capital have a higher probability of obtaining high salaries in future employment, while individuals with rich skilled human capital have a higher employment rate. This research has discovered the hidden value behind education data, explored the mechanism by which student characteristic information affects employment quality, and provided a useful supplement to employment quality research. It further provided practical enlightenment for college informatization construction, teaching reform and employment guidance.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Qidong Deng
PY  - 2020
DA  - 2020/12/16
TI  - Study on Improvement in Employment Quality of College Students
BT  - Proceedings of the 2020 6th International Conference on Social Science and Higher Education (ICSSHE 2020)
PB  - Atlantis Press
SP  - 904
EP  - 912
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.201214.173
DO  - 10.2991/assehr.k.201214.173
ID  - Deng2020
ER  -