Title: Design of a platform for evaluating the effectiveness of college and university English education by integrating PSO and SVM

Authors: Dan Xu

Addresses: Department of Basic Sciences, Shaanxi Institute of International Trade and Commerce, Xi'an, 712046, China

Abstract: The study established that PSO is used to enhance the optimal solution of the disk operation parameters and SVM regularisation parameters. The results demonstrated that the effect evaluation model constructed by PSO-SVM obtained the best adaptation 100 at five iterations and reached the fastest convergence speed. Among different model errors, the data error distribution of the PSO-SVM pattern is closest to 0, with the smallest absolute error variation and the highest prediction accuracy; in practical applications, the classification precision of PSO-SVM is as high as 97.01%, which is much This is much higher than the outcomes of the BP and SVM models. The outcomes implied that the evaluation platform for English education teaching effectiveness evaluation under this model had the best evaluation effect, can achieve low evaluation time and high evaluation accuracy both at the exact moment, and offers a brand-new reference for teaching evaluation.

Keywords: PSO; SVM; English language teaching; evaluation platform.

DOI: 10.1504/IJCSYSE.2025.149211

International Journal of Computational Systems Engineering, 2025 Vol.9 No.2/3/4, pp.111 - 120

Received: 11 Apr 2023
Accepted: 11 Jun 2023
Published online: 20 Oct 2025 *

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