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应用多变量概括性理论来编写和排列大学教师教学能力的评估分数
Desheng Yan1, Guangming Li2,3
1Inner Mongolia Minzu Preschool Education College, Ordos, 017000, China.
Scientific reports
|July 5, 2025
概括
多变量通用性理论 (MGT) 提供了一种优越的方法来评估大学教师.
科学领域:
- 教育测量和统计学
- 高等教育研究 高等教育研究
- 心理测量 心理测量 心理测量
背景情况:
- 经典测试理论和单变量概括性理论在有效编写和排名大学教师的教学能力评估成绩方面存在局限性.
- 多变量通用性理论 (MGT) 提供了一个更全面的方法来解决这些局限性.
- 对教学能力的有效评估对于教师发展和高等教育的机构质量至关重要.
研究的目的:
- 研究多变量通用性理论 (MGT) 对评估大学教师教学能力的有用性.
- 确定最佳权重方案和最低学生人数,以可靠地评估教学能力.
- 将MGT的有效性与编制和排名评估分数的传统方法进行比较.
主要方法:
- 采用多变量嵌套不平衡设计 (s·:t·) 收集了来自568名学生的数据,评估了16名大学教师.
- 为了收集数据,使用了学院教师教学水平评估量表 (TTLES-C).
- 使用mGENOVA软件进行多变量通用性理论 (MGT) 分析分析的数据.
主要成果:
- 评估的总体可靠性很高,尽管一些地方可靠性指数很低.
- 最初的先验重量是不理想的;确定了0.22:0.17:0.24:0.37的最佳重量,提高了可靠性.
- MGT可以告知所需可靠性水平所需的最低学生人数 (例如,0.80多变量指数的30名学生).
结论:
- 多变量通用性理论 (MGT) 提供了一个强大的框架,用于编写和排名大学教师的教学能力得分.
- 优化权重和考虑最低学生人数提高了MGT在评估中的可靠性和适用性.
- 在高等教育中,MGT在提高教师教学能力评估的准确性和公平性方面发挥了宝贵的作用.
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