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大学质量评估的新视角:马姆丹尼模糊推理系统的方法

Cristina Carrasco-Garrido¹, Belen Maria Moreno-Cabezali¹, Antonio Martínez Raya²

¹Department of Business Economics, Applied Economics II, and Fundamentals of Economic Analysis, Rey Juan Carlos University-Universidad Rey Juan Carlos (URJC), Madrid, España.

|May 19, 2025

概括

这项研究独特地从教师的角度评估了西班牙高等教育质量,使用了Mamdani Fuzzy Inference System (FIS). 结果为改善教授职业生涯和毕业生就业能力提供了见解.

科学领域:

教育政策教育政策
高等教育管理的管理.
模糊逻辑应用模糊逻辑应用

背景情况:

欧洲高等教育区 (EHEA) 的目标是协调,但质量标准在各成员国之间仍然不一致.
评估大学质量对于经济增长至关重要,但教师的观点在现有研究中不足.
在从其员工的角度评估公共高等教育机构方面存在差距.

研究的目的:

从教师的角度分析西班牙大学体系的质量.
解决公共高等教育中教师驱动的质量评估研究缺口.
为大学教师职业生涯和整体教育质量提出数据驱动的改进建议.

主要方法:

使用了Mamdani Fuzzy Inference System (FIS) 方法,这是这个研究领域的新方法.
从总部位于马德里的四所公立高等教育机构收集和策划数据.
分析了五个类别的十五个关键元素:国际化,科学生产,职业类别,学术背景和专业经验.

主要成果:

使用 MATLAB 模糊逻辑工具箱实现了 Mamdani FIS,以生成每个机构的独特质量评估.
根据教师的投入,评估结果以确定哪个机构表现出卓越的教育质量.
通过教师评估,提供了公立高等教育机构质量的量衡量标准.

结论:

该研究提供了一种从教师角度衡量高等教育质量的新方法.
调查结果可以为决策者设计策略,以提高大学教授的职业生涯提供信息.
预计教师职业生涯的改善将提高高等教育质量和毕业生就业能力.

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