Title: Evaluation method of online education sustainable development effect based on data mining

Authors: Zhanqiu Yu

Addresses: Anhui Technical College of Industry and Economy, College of Computer and Arts, China

Abstract: A data mining based online education sustainable development effectiveness evaluation method is proposed to address the issues of low evaluation accuracy and efficiency in traditional methods. Firstly, analyse the four elements of sustainable development in online education; secondly, the decision tree method is used to decompose the similarity of online education data to obtain the similarity between different data, and probability statistical methods are used to mine online education data. Then, combine the data mining results with the four elements to construct an evaluation index system; finally, based on the principle of fuzzy set transformation, a fuzzy evaluation matrix is established to conduct fuzzy evaluation on the evaluation indicators and obtain the evaluation results. The experimental results show that the proposed method has high evaluation accuracy, fast efficiency, and a small gap between the evaluation results and actual performance.

Keywords: data mining; online education; sustainable development; probability and statistics; fuzzy set transformation.

DOI: 10.1504/IJSD.2025.149417

International Journal of Sustainable Development, 2025 Vol.28 No.4, pp.501 - 514

Received: 10 Mar 2023
Accepted: 17 Oct 2023
Published online: 30 Oct 2025 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article