Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)

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A Statistical Framework for Evaluation of Graduate Student Leadership Training Based on Entropy Method in the Context of New Engineering

Authors
Xun Wang1, Hai Pan1, *
1University of Electronic Science and Technology of China, Chengdu, 611731, China
*Corresponding author. Email: panhai@uestc.edu.cn
Corresponding Author
Hai Pan
Available Online 27 December 2022.
DOI
10.2991/978-94-6463-064-0_22How to use a DOI?
Keywords
statistical analysis; regression; entropy method; leadership development
Abstract

Economic development and education have placed new demands on graduate education, especially leadership training. China proposes that universities should accelerate the construction and development of new engineering disciplines. In order to solve the above problems, this study conducted a questionnaire survey on 1680 graduate students using self-designed questionnaires. And a statistical analysis framework containing regression analysis, descriptive analysis and entropy method is provided. The results of the study showed that organizational communication skills (0.545) and career planning skills (0.524) significantly influenced students’ leadership. In addition, the results of the entropy method of analysis showed that the public service activities or volunteer activities that students had participated in were also extremely important in influencing their leadership. The study in this paper provides an empirical analysis of student leadership development in the context of the new engineering discipline, which has important implications for teaching policy development and teaching evaluation in higher education institutions.

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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Volume Title
Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
27 December 2022
ISBN
978-94-6463-064-0
ISSN
2589-4900
DOI
10.2991/978-94-6463-064-0_22How to use a DOI?
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.

Cite this article

risenwbib
TY  - CONF
AU  - Xun Wang
AU  - Hai Pan
PY  - 2022
DA  - 2022/12/27
TI  - A Statistical Framework for Evaluation of Graduate Student Leadership Training Based on Entropy Method in the Context of New Engineering
BT  - Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)
PB  - Atlantis Press
SP  - 188
EP  - 198
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-064-0_22
DO  - 10.2991/978-94-6463-064-0_22
ID  - Wang2022
ER  -