The validity and utility of activity logs as a measure of student engagement

Benjamin A. Motz, Joshua Quick, Noah L. Schroeder, Jordon Zook, Matt Gunkel
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引用次数: 26

Abstract

Learning management system (LMS) web logs provide granular, near-real-time records of student behavior as learners interact with online course materials in digital learning environments. However, it remains unclear whether LMS activity indeed reflects behavioral properties of student engagement, and it also remains unclear how to deal with variability in LMS usage across a diversity of courses. In this study, we evaluate whether instructors' subjective ratings of their students' engagement are related to features of LMS activity for 9,021 students enrolled in 473 for-credit courses. We find that estimators derived from LMS web logs are closely related to instructor ratings of engagement, however, we also observe that there is not a single generic relationship between activity and engagement, and what constitutes the behavioral components of "engagement" will be contingent on course structure. However, for many of these courses, modeled engagement scores are comparable to instructors' ratings in their sensitivity for predicting academic performance. As long as they are tuned to the differences between courses, activity indices from LMS web logs can provide a valid and useful proxy measure of student engagement.
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活动日志作为衡量学生参与度的一种手段的有效性和实用性
学习管理系统(LMS)的网络日志为学习者在数字学习环境中与在线课程材料互动时的学生行为提供了精细的、近乎实时的记录。然而,目前尚不清楚LMS活动是否确实反映了学生参与的行为特征,也不清楚如何处理LMS在不同课程中使用的可变性。在这项研究中,我们对473门学分课程的9021名学生进行了评估,以评估教师对学生参与度的主观评分是否与LMS活动的特征有关。我们发现,从LMS网络日志中得出的估计值与教师参与度评级密切相关,然而,我们也观察到,活动和参与度之间没有单一的通用关系,构成“参与度”的行为成分将取决于课程结构。然而,对于这些课程中的许多,模型参与分数在预测学习成绩的敏感性方面与教师的评分相当。只要他们考虑到课程之间的差异,LMS网络日志中的活动指数就可以提供一个有效而有用的衡量学生参与度的代理指标。
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