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运用混合多准则决策框架评估体育教育教学质量。

Evaluate teaching quality of physical education using a hybrid multi-criteria decision-making framework.

机构信息

Sports Department of Physical Education, Central South University, Changsha, China.

College of Tourism, Hunan Normal University, Changsha, China.

出版信息

PLoS One. 2023 Feb 16;18(2):e0280845. doi: 10.1371/journal.pone.0280845. eCollection 2023.

DOI:10.1371/journal.pone.0280845
PMID:36795779
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9934339/
Abstract

The teaching quality evaluation of physical education is an important measure to promote the professional development of physical teachers, improve the quality of school teaching and personnel training. It is helpful for students to achieve all-round development and better meet the needs of modern talents in the new era. This study aims to establish a novel MCDM (multi-criteria decision-making) framework for evaluating teaching quality of physical education. First, PFNs (picture fuzzy numbers) are suggested to reflect dissimilar attitudes or preferences of decision makers. Then, the typical SWARA (Step-wise Weight Assessment Ratio Analysis) model is modified with PFNs to calculate the weights of evaluation criteria. Considering that some criteria are non-compensatory during the evaluation process, the idea of ELECTRE (elimination and choice translating reality) is introduced to obtain the ranking results of alternatives. Specially, the MAIRCA (Multi-Attribute Ideal-Real Comparative Analysis) method is extended to construct the difference matrix in a picture fuzzy environment. Last, the hybrid MCDM model is utilized to assess the teaching quality of physical education. Its superiority is justified through comparison analyses. Results show that our approach is practicable and can provide instructions for the teaching quality evaluation of physical education.

摘要

体育教学质量评估是促进体育教师专业发展、提高学校教学和人才培养质量的重要手段。它有助于学生实现全面发展,更好地满足新时代现代人才的需求。本研究旨在建立一种新的体育教学质量评估多准则决策(MCDM)框架。首先,建议使用 PFN(图像模糊数)来反映决策者不同的态度或偏好。然后,使用 PFN 修改典型的 SWARA(逐步权重评估比率分析)模型来计算评估标准的权重。考虑到在评估过程中有些标准是不可补偿的,引入了 ELECTRE(排除和选择翻译现实)的思想来获得替代方案的排名结果。特别地,将 MAIRCA(多属性理想-现实比较分析)方法扩展到图像模糊环境中构建差异矩阵。最后,利用混合 MCDM 模型来评估体育教学质量。通过比较分析证明了其优越性。结果表明,我们的方法是可行的,可以为体育教学质量评估提供指导。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/84c7/9934339/cb9c4369857d/pone.0280845.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/84c7/9934339/cb9c4369857d/pone.0280845.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/84c7/9934339/cb9c4369857d/pone.0280845.g001.jpg

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Retraction: Evaluate teaching quality of physical education using a hybrid multi-criteria decision-making framework.

本文引用的文献

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An extended MAIRCA method using intuitionistic fuzzy sets for coronavirus vaccine selection in the age of COVID-19.一种在新冠疫情时代使用直觉模糊集的扩展MAIRCA方法用于新冠疫苗选择
Neural Comput Appl. 2022;34(7):5603-5623. doi: 10.1007/s00521-021-06728-7. Epub 2022 Jan 7.
撤回声明:使用混合多准则决策框架评估体育教学质量。
PLoS One. 2025 Jun 3;20(6):e0325685. doi: 10.1371/journal.pone.0325685. eCollection 2025.