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Correlation between Teaching Behavior and Real-Time Student Evaluations

机译:教学行为与实时学生评估之间的相关性

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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.
机译:许多大学进行学生评估,目的是鼓励改进教学。评估是学生的主观评估,并不直接评估特定的教学方法或行为的好坏。因此,教师不一定能轻松地将评估与教学改进领域联系起来。为了解决这个问题,我们提出了一种教学行为估计模型,该模型可以根据每堂课的学生评估来估计教学行为。在本研究中,以识别课程进度和教学行为之间的对应关系为目标,我们研究了一种通过实时学生评估(在课程中进行的评估)评估教学行为的模型。在为此目的进行的基础研究中,我们在大学讲课的30、60和90分钟的三个时间点获得了学生评估,并调查了课程进行过程中评估变化与各部分教学行为发生次数之间的相关性的课程。结果,随着课程的进行,我们发现了影响学生评估项目的教学行为之间的关系。

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