Correlation between Teaching Behavior and Real-Time Student Evaluations

Yusuke Kometani, Takahito Tomoto, T. Akakura, K. Nagaoka
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引用次数: 1

Abstract

Many universities conduct student evaluations, with the goal of encouraging improvement in teaching. Evaluations are subjective assessments by students, and do not directly evaluate specific teaching methods or behaviors as being good or bad. Instructors therefore cannot necessarily easily relate evaluations to areas for teaching improvement. To address this issue, we proposed a teaching behavior estimation model that can estimate teaching behaviors from student evaluations of each lesson. In this study, with the goal of identifying correspondences between lesson progress and teaching behaviors, we examine a model for estimating teaching behaviors from real-time student evaluations (evaluations performed during the lesson). In a basic study toward this end, we acquired student evaluations at three points -- 30, 60, and 90 minutes into university lectures -- and investigated correlations between evaluation changes as the lesson progressed and the number of occurrences of teaching behaviors during each part of the lesson. As a result, we identified relations between teaching behaviors that affect student evaluation items as lessons progress.
教学行为与学生实时评价的相关性研究
许多大学进行学生评估,目的是鼓励改进教学。评价是学生的主观评价,并不直接评价具体的教学方法或行为的好坏。因此,教师不一定能轻易地将评估与教学改进的领域联系起来。为了解决这个问题,我们提出了一个教学行为评估模型,该模型可以根据学生对每节课的评价来评估教学行为。在本研究中,为了确定课程进度和教学行为之间的对应关系,我们研究了一个从实时学生评估(在课程中进行的评估)中估计教学行为的模型。在这方面的基础研究中,我们在大学课程开始30分钟、60分钟和90分钟这三个时间点获得了学生的评价,并调查了随着课程的进展,评价变化与课程中每个部分教学行为发生的次数之间的相关性。因此,我们确定了教学行为与课程进展之间的关系,这些行为会影响学生的评价项目。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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