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Journal of Engineering, Project, and Production Management, 2026, 16(2), 2025-270

 

Optimization of Teaching Evaluation Systems Based on Combined Weighting Methods

 

Jun Lei1, Jiangyue Lei2, and Xichen Li3

1 Associate Professor, School of Education Science, Minzu Normal University of Xingyi, Xingyi 562400 Guizhou, China
2 Staff Journalist and Editor, News Center, China Media Group, Beijing, 100038, China
3 M.A, Ordos Education and Sports Bureau, General Support Center, Ordos, Inner Mongolia, 017010, E-mail: guozr79@163.com (corresponding author).

 

Project Management

 

Received November 13, 2025; revised January 1, 2026; accepted March 13, 2026

 

Available online March 13, 2026

 

Abstract: As educational reforms advance, optimizing teaching evaluation systems is crucial for improving educational quality. However, traditional evaluation systems typically rely on fixed weighting methods, which fail to adapt to the dynamic changes in evaluation indicators, leading to a lack of precision in results. To address this, this paper proposes an optimization method based on a combined weighting approach integrating the entropy weighting method with state variable weighting vectors. This method introduces state variable weighting theory to dynamically correct the initial entropy weights derived from data dispersion, constructing a new evaluation model using the Hadamard product. Experimental verification demonstrates that, compared to traditional methods, the proposed approach exhibits higher distinctiveness and stability when processing data across multiple disciplines and educational stages, effectively capturing dynamic characteristics in the teaching process. The evaluation system constructed in this study not only overcomes the limitations of static weighting but also provides a scientific reference for educational administrators to optimize resource allocation and enhance teaching quality.

 

Keywords: Combination weighting, optimization of teaching evaluation systems, entropy weighting method, state variable weighting theory.

Copyright © Journal of Engineering, Project, and Production Management (EPPM-Journal).

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License.

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Citation: Lei, J., Lei, J. and Li, X. (2026). Optimization of Teaching Evaluation Systems Based on Combined Weighting Methods. Journal of Engineering, Project, and Production Management, 16(2), 2025-270.

DOI: 10.32738/JEPPM-2025-270

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