International Journal of Modern Education and Computer Science (IJMECS)
IJMECS Vol. 17, No. 4, 8 Aug. 2025
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Fuzzy Clustering of Educational Data with Automated Selection of Processing Parameters in System Analysis of Quality Education
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Author(s)
Zhengbing Hu
1
Oleksandr Derevyanchuk
2
Serhiy Balovsyak
2
Yuriy Ushenko
2,*
Hanna Kravchenko
3
Iryna Sapsai
4
Index Terms
Education Technology, Clustering methods, Data Mining, Educational Data, Fuzzy Logic, K-Means, System Analysis, Quality Education
Abstract
Clustering of educational data was performed in the space of two parameters using the K-Means method. Students who are characterized by grades in certain types of activities were used as objects of clustering. Software for fuzzy data clustering is implemented in the Python language in the Google Colab cloud service. The obtained clusters are described by fuzzy Gaussian membership functions, which allowed to reliably determine the membership of each object to a certain cluster, even if the clusters do not have clear boundaries. Due to clustering, the most important characteristics of the educational process for a certain task are obtained, that is, this is how Data Manning tasks are solved. Fuzzy membership functions implemented using the scikit-fuzzy library. The developed program can also be used for educational purposes, as it allows a better understanding of the principles of cluster analysis and fuzzy logic. The correctness of the work of the developed program was confirmed during the processing of test educational data. The determination of the number of clusters was performed by software, taking into account the intra-cluster and inter-cluster distances, as well as the shape of the clusters. Automated selection of the number of clusters and cluster boundaries allows to reduce data processing time. The developed clustering tools are designed to increase the efficiency of system analysis of quality education.
Cite This Paper
Zhengbing Hu, Oleksandr Derevyanchuk, Serhiy Balovsyak, Yuriy Ushenko, Hanna Kravchenko, Iryna Sapsai, "Fuzzy Clustering of Educational Data with Automated Selection of Processing Parameters in System Analysis of Quality Education", International Journal of Modern Education and Computer Science(IJMECS), Vol.17, No.4, pp. 101-111, 2025. DOI:10.5815/ijmecs.2025.04.07
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