文章基本信息

标题：Psychometrics of MOOCs: Measuring Learners’ Proficiency
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作者：Dmitry Abbakumov ; Piet Desmet ; Wim Van den Noortgate 等
期刊名称：Psychologica Belgica
电子版ISSN：2054-670X
出版年度：2020
卷号：60
期号：1
页码：115-131
DOI：10.5334/pb.515
语种：English
出版社：Ubiquity Press
摘要：Massive open online courses (MOOCs) generate learners’ performance data that can be used to understand learners’ proficiency and to improve their efficiency. However, the approaches currently used, such as assessing the proportion of correct responses in assessments, are oversimplified and may lead to poor conclusions and decisions because they do not account for additional information on learner, content, and context. There is a need for theoretically grounded data-driven explainable educational measurement approaches for MOOCs. In this conceptual paper, we try to establish a connection between psychometrics, a scientific discipline concerned with techniques for educational and psychological measurement, and MOOCs. First, we describe general principles of traditional measurement of learners’ proficiency in education. Second, we discuss qualities of MOOCs which hamper direct application of approaches based on these general principles. Third, we discuss recent developments in measuring proficiency that may be relevant for analyzing MOOC data. Finally, we draw directions in psychometric modeling that might be interesting for future MOOC research.
关键词：Psychometrics;Item Response Theory;Massive Open Online Courses;Learning Analytics;