ARTICLE
3 July 2024
Research on the Assessment System of Computational Mechanics Courses Based on the TOPSIS Entropy Weight Model
Huijun Ning Ruhuan Yu Qianshu Wang Mingming Lin
Show Less
1 Institute of Science and Technology Development, Henan University of Science and Technology, Luoyang 471000, Henan Province, China; School of Civil Engineering and Architecture, Henan University of Science and Technology, Luoyang 471000, Henan Province, China,
2 School of Civil Engineering and Architecture, Henan University of Science and Technology, Luoyang 471000, Henan Province, China,
3 International Education College, Henan University of Science and Technology, Luoyang 471000, Henan Province, China,
JCER 2024 , 8(6), 166–182; https://doi.org/10.26689/jcer.v8i6.7378
© 2024 by the Authors. Licensee Whioce Publishing, Singapore. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution -Noncommercial 4.0 International License (CC BY-NC 4.0) ( https://creativecommons.org/licenses/by-nc/4.0/ )
Abstract

This paper takes the assessment and evaluation of computational mechanics course as the background, and constructs a diversified course evaluation system that is student-centered and integrates both quantitative and qualitative evaluation methods. The system not only pays attention to students’ practical operation and theoretical knowledge mastery but also puts special emphasis on the cultivation of students’ innovative abilities. In order to realize a comprehensive and objective evaluation, the assessment and evaluation method of the entropy weight model combining TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) multi-attribute decision analysis and entropy weight theory is adopted, and its validity and practicability are verified through example analysis. This method can not only comprehensively and objectively evaluate students’ learning outcomes, but also provide a scientific decision-making basis for curriculum teaching reform. The implementation of this diversified course evaluation system can better reflect the comprehensive ability of students and promote the continuous improvement of teaching quality.

References
Xie L, Wang X, 2020, A Teaching Methodology of Computational Mechanics Course Oriented for Training of Computational Thinking and Skill. Higher Education in Science, 2020(3): 113–118.
Mao J, Xue L, Xiong Y, 2002, Feasibility Analysis on Adding the Contents of Computational Dynamics to Undergraduate Learning. Journal of Northern Jiaotong University (Social Science Edition), 2(2): 54–59.
Wang X, Jiang Y, 2010, Computational Mechanics Course System Construction and Thinking-Based on Questionnaire Analysis. Mechanics and Practice, 2010(10): 107–109.
Wang H, Li X, Deng X, 2022, Framework of Online Multiple Assessment in MOOC. Journal of Mudanjiang College of Education, (04): 87–90.
Dong Q, Dai G, 2020, Empirical Research on Learning Effect Evaluation System Based on Multi-Level Fuzzy Evaluation Model. Mathematical Practice and Understanding, 50(05): 282–291.
Wu C, 2005, Application of Fuzzy Mathematics Comprehensive Evaluation Method in the evaluation of Soil Mechanics Comprehensive Experiment. Vocational Education Research, (09): 132.
Wang Y, 2009, Fuzzy Evaluation of Brand Niche Optimization. Enterprise Economics, (03): 52–54.
Song C, Wu L, 2017, Quantitative Analysis of Regional Low Carbon Economy Development Based on the Fuzzy Evaluation Model. Journal of Xichang College Natural Science Edition, 31(01): 16–18 + 35.
Liu Y, Wang J, 2010, Application of Fuzzy Evaluation Method in Risk Assessment for Real Estate Investment. Journal of Liaoning Shihua University, 30(01): 92–95.
Tang J, 2019, The Application of Factor Analysis Method in Student Achievement Evaluation of Private Universities. Think Tank Times, (15): 167–168.
Jiang F, 2024, Comprehensive Evaluation of Wind Power Projects Based on Factor Analysis. Mechanical and Electrical Information, (05): 70–72.
Luo S, Hu S, Hu B, 2023, The Application of Principal Component Analysis in Student Achievement Evaluation. Communications and Information Technology, 2023(06): 97–101.
Ren D, 2023, Comprehensive Evaluation of Student Achievement Based on Principal Component Analysis and Cluster Analysis. Computer Age, (11): 64–67 + 70.
Share
Back to top