心理学
学生参与度
克朗巴赫阿尔法
比例(比率)
数学教育
结构效度
构造(python库)
社会心理学
心理测量学
发展心理学
物理
量子力学
计算机科学
程序设计语言
作者
Janie H. Wilson,Rebecca G. Ryan
标识
DOI:10.1177/0098628312475033
摘要
Rapport between students and teachers leads to numerous positive student outcomes, including attitudes toward the teacher and course, student motivation, and perceived learning. The recent development of a Professor–Student Rapport scale offers assessment of this construct. However, a Cronbach’s α of .96 indicated item redundancy, and the 34-item scale is unwieldy in a survey-heavy culture. In addition, the most valuable outcome of student learning is actual grades, which remained to be assessed. In the current study, we relied on principal component analysis to reduce the number of items on the Professor–Student Rapport scale and examine predictive power of fewer items. We measured traditional student outcomes such as attitudes, motivation, and perceived learning. We also assessed end-of-semester grades to remove any potential student bias in learning or grade reporting. Six rapport items concerning student engagement and enjoyment of a course predicted all student outcomes, including course grades.
科研通智能强力驱动
Strongly Powered by AbleSci AI