Proceedings of the 2023 4th International Conference on Education, Knowledge and Information Management (ICEKIM 2023)

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The Quantitative Study on the Distribution of Higher Education Resources Based on Information Theory

Authors
Miao Dan1, *
1School of Economics and Management, Beijing Jiaotong University, Beijing, China
*Corresponding author. Email: 21120744@bjtu.edu.cn
Corresponding Author
Miao Dan
Available Online 30 June 2023.
DOI
10.2991/978-94-6463-172-2_88How to use a DOI?
Keywords
distribution of higher educational resources; information theory; the information entropy; Theil index
Abstract

The development level of higher education is an important symbol of a country’s development level and potential. Whether the distribution of educational resources is relatively balanced and fair is an important issue. China’s educational reform and development has made remarkable achievements, but the distribution and allocation of higher education resources still need to be paid attention to. By using the quantitative research methods of information entropy and Theil index in information theory, this paper analyzes the present characteristics of Chinese higher education resources distribution. The results show that the distribution of Chinese higher education resources is unbalanced. Western development lags behind central and eastern regions. The gap among the west, the middle and the east is gradually decreasing, and the distribution of higher education resources is developing in a balanced and coordinated direction. It is suggested to use big data technology and information technology to promote education resource sharing, strengthen the construction of education information technology in less developed areas, boost education decision making, increase resource input, establish the resources integration and sharing system, so as to promote the further balanced development of higher education in China and let higher education benefits more people.

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 2023 4th International Conference on Education, Knowledge and Information Management (ICEKIM 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
30 June 2023
ISBN
10.2991/978-94-6463-172-2_88
ISSN
2589-4900
DOI
10.2991/978-94-6463-172-2_88How 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  - Miao Dan
PY  - 2023
DA  - 2023/06/30
TI  - The Quantitative Study on the Distribution of Higher Education Resources Based on Information Theory
BT  - Proceedings of the 2023 4th International Conference on Education, Knowledge and Information Management (ICEKIM 2023)
PB  - Atlantis Press
SP  - 836
EP  - 845
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-172-2_88
DO  - 10.2991/978-94-6463-172-2_88
ID  - Dan2023
ER  -