Analysis of College Students’ Second Classroom Ability Evaluation Based on Principal Component and Clustering Methods

DOI

10.2991/978-94-6463-058-9_44How to use a DOI?

Keywords

The Comprehensive Quality of Students; Hierarchical Clustering; Clustering Evaluation Index; Data Visualization

Abstract

For better cultivating the comprehensive quality of students, this paper takes the perspective of the second classroom and combines various data of students' indicators, to explore and analyze, so as to better promote the development of higher education in our country. In this paper, a data set of second classroom from college students is studied using principal component analysis and hierarchical clustering. Based on the definition of second classroom, this paper constructs evaluation indexes which include competition, research and innovation, foreign language, cadre, public interest, and physical test for college students. Firstly, this paper uses principal components to analyze the second classroom situation of individual students, and selects the top four principal components as the main evaluation indexes of the second classes based on the cumulative contribution rate. Secondly, this paper uses hierarchical clustering method to cluster the samples. The model is evaluated and analyzed Silhouette Coefficiency, Calinski-Harabasz Index, and Davies-Bouldin Index. The results show that the clustering model is optimal when the category is 3 and the cluster distance is 'single'. The model is reliable, scientific and reasonable. By identifying the categories of students and providing appropriate recommendations, we can better promote the development of higher education in our country.

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  - Hong Yan Li
AU  - Long De He
AU  - Jing Lin Huang
AU  - Zi Yang Zhuo
AU  - Zhi Cheng Niu
AU  - Xin Dong Zhao
PY  - 2022
DA  - 2022/12/27
TI  - Analysis of College Students’ Second Classroom Ability Evaluation Based on Principal Component and Clustering Methods
BT  - Proceedings of the 2nd International Conference on Internet, Education and Information Technology (IEIT 2022)
PB  - Atlantis Press
SP  - 255
EP  - 263
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-058-9_44
DO  - 10.2991/978-94-6463-058-9_44
ID  - Li2022
ER  -