基于模糊的决策支持系统的大学体育教学质量的评估
Kunjian Han1,2, Jian Wan3
1Xinyang Agriculture and Forestry University, Xinyang, Henan, 464000, China.
Scientific reports
|August 19, 2025
概括
本研究介绍了一种教学复杂质量评估模型 (TCQAM),以加强体育教育. 该模型使用模糊的决策系统来识别和改进表现不佳的教学因素,以提高学生的成绩.
科学领域:
- 运动科学 运动科学 运动科学
- 教育技术的教育技术
背景情况:
- 大学体育教学质量取决于工作人员的专业知识和培训方法.
- 评估教学质量需要大量关于教学模式和培训的数据.
- 当前的方法可能无法完全捕捉到有效的体育教学细微差别.
研究的目的:
- 为大学体育教育提出一个强大的教学复杂质量评估模型 (TCQAM).
- 开发一种数据驱动的方法来评估和提高体育教学质量.
- 确定影响教学有效性的关键因素,并实施有针对性的改进.
主要方法:
- 开发了一种新的教学复杂质量评估模型 (TCQAM).
- 该模型整合了各种因素:培训模式,会议持续时间和时间.
- 一个模糊的决策系统对这些因素与体育训练要求进行验证.
主要成果:
- 模糊的决策系统识别了体育教学中表现不佳的因素.
- 改进评估过程用优化的投入取代低质量的因素.
- 该模型通过模糊逻辑证明了教学质量的代增强.
结论:
- 该TCQAM提供了一种系统的方法来评估和提高体育教学质量.
- 模糊的决策系统在优化教育投入以获得更好的结果方面是有效的.
- 平衡的,以数据为基础的教学策略可以改善大学体育教育.
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