Construction of a Balanced Development Evaluation Index System Based on Big Data Analysis and Clustering Extraction Algorithms

Liangbing Gong

2025

Abstract

There are unreasonable gaps in educational resources, teaching quality, educational results, etc. between urban and rural areas, between regions, and among schools at different levels in a region. The balanced growth of education needs constant decision-making and adjustment, and the assessment activity serves for decision-making. It can provide information and reflect the reality. As a part of education, school physical education (PE) should also take balanced development as its value orientation. Assessing the validity of clustering results is a complex problem. This article puts forward an assessment algorithm of PE based on clustering extraction algorithm, which provides technical support for the construction of assessment index system of balanced growth of sports. The experimental results show that the model has high recall and accuracy, and the accuracy is improved by 19.64% compared with the traditional assessment algorithm. Combining the fuzzy assessment model with qualitative assessment, the assessment of PE class teaching in universities can better reflect the situation of the assessd object, realize the unity of fuzziness and accuracy in the assessment process, and provide a meaningful reference for the construction of the assessment index system of balanced growth of sports.

Paper Citation

in Harvard Style

Gong L. (2025). Construction of a Balanced Development Evaluation Index System Based on Big Data Analysis and Clustering Extraction Algorithms. In Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT; ISBN 978-989-758-763-4, SciTePress, pages 128-133. DOI: 10.5220/0013536700004664

in Bibtex Style

@conference{incoft25,
author={Liangbing Gong},
title={Construction of a Balanced Development Evaluation Index System Based on Big Data Analysis and Clustering Extraction Algorithms},
booktitle={Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT},
year={2025},
pages={128-133},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013536700004664},
isbn={978-989-758-763-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT
TI - Construction of a Balanced Development Evaluation Index System Based on Big Data Analysis and Clustering Extraction Algorithms
SN - 978-989-758-763-4
AU - Gong L.
PY - 2025
SP - 128
EP - 133
DO - 10.5220/0013536700004664
PB - SciTePress