Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022)

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Quality Evaluation of College Students Based on Moran Index Analysis

Authors
Liang Ye1, Shun Ding2, Jin Lu3, *
1Office of Admissions and Career Services, Shanghai University, Shanghai, China
2School of Computer Engineering and Science, Shanghai University, Shanghai, China
3Office of Admissions and Career Services, Shanghai University, Shanghai, China
*Corresponding author. Email: lujin221@t.shu.edu.cn
Corresponding Author
Jin Lu
Available Online 27 December 2022.
DOI
10.2991/978-94-6463-040-4_154How to use a DOI?
Keywords
Moran index; evaluation model; matriculate quality
Abstract

Current studies on student quality are mainly based on college entrance examination results or rankings, without considering the differences in exam content and difficulty, which makes it difficult to compare matriculate quality horizontally and longitudinally. To solve the above problems, this paper proposes a student quality evaluation model based on the provincial ranking of college entrance examination and the number of online students in provincial control. The model firstly proposes a formula to calculate students' comprehensive quality, and then constructs a spatial weight matrix to introduce global and local Moran indexes to comprehensively analyze the spatial autocorrelation of students' quality. Compared to the mainstream student evaluation system, the Moran index can analysis the quality of students in adjacent provinces which gathered distribution on hidden links. It also can reflect the concentration trend of group students' quality compared by horizontal and vertical comparison. The method can provide college enrollment institution some targeted for decision support.

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 Artificial Intelligence and Education (IC-ICAIE 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
27 December 2022
ISBN
10.2991/978-94-6463-040-4_154
ISSN
2589-4900
DOI
10.2991/978-94-6463-040-4_154How 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  - Liang Ye
AU  - Shun Ding
AU  - Jin Lu
PY  - 2022
DA  - 2022/12/27
TI  - Quality Evaluation of College Students Based on Moran Index Analysis
BT  - Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022)
PB  - Atlantis Press
SP  - 1022
EP  - 1029
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-040-4_154
DO  - 10.2991/978-94-6463-040-4_154
ID  - Ye2022
ER  -