Proceedings of the 2022 3rd International Conference on Big Data and Informatization Education (ICBDIE 2022)

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On the Study of Small Class Sizes of Primary School Using Machine Learning

Authors
Tian Litong1, *
1Department of Mathematics, Wenzhou Kean University Yingkou, Yingkou, China
*Corresponding author. Email: 1098422@wku.edu.cn
Corresponding Author
Tian Litong
Available Online 23 December 2022.
DOI
10.2991/978-94-6463-034-3_118How to use a DOI?
Keywords
small class size; primary school; data visualization; cluster; K- NearestNeighbor(KNN) prediction model
Abstract

The purpose of this study is to explore the phenomenon of small classes size in elementary school education in recent years and the differences in the implementation of small-class size education policies in different regions in China. This essay also talked about the motivation, background information and advantages of small class size in Primary Education. Besides, the study use data visualization to analyze the number of primary schools and the number of teachers in 34 provinces in China from 1978 to 2020. Furthermore, the exploration is also focused on the analysis of full-time teachers, enrolments, and their relationship in 34 provinces in China. The last but not the least, this study uses machine learning and other skills to make a prediction model, such as K- NearestNeighbor(KNN). In conclusion, the government should take measures to narrow the gap of educational resources in China.

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 Informatization Education (ICBDIE 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
23 December 2022
ISBN
978-94-6463-034-3
ISSN
2589-4900
DOI
10.2991/978-94-6463-034-3_118How 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  - Tian Litong
PY  - 2022
DA  - 2022/12/23
TI  - On the Study of Small Class Sizes of Primary School Using Machine Learning
BT  - Proceedings of the 2022 3rd International Conference on Big Data and Informatization Education (ICBDIE 2022)
PB  - Atlantis Press
SP  - 1148
EP  - 1157
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-034-3_118
DO  - 10.2991/978-94-6463-034-3_118
ID  - Litong2022
ER  -