文章基本信息

标题：Patterns in students’ usage of lecture recordings: a cluster analysis of self-report data
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作者：Daniel Ebbert ; Stephan Dutke
期刊名称：Research in Learning Technology
印刷版ISSN：2156-7077
出版年度：2020
卷号：28
页码：1-14
DOI：10.25304/rlt.v28.2258
出版社：Research in Learning Technology
摘要：Students’ usage of lecture recordings can be characterised by usage frequency, repetitiveness and selectivity in watching, lecture attendance, and social context and location in which students watch the lecture recordings. At the University of Münster (Germany), the lecture recording service was evaluated over three semesters. The data were combined and used for a cluster analysis with the aim of being able to describe the students’ distinct usage patterns. The cluster analysis was performed using partitioning around medoids with Gower distance. Five clusters of students were identified, which differed mainly on the amount of lecture recordings watched, whether the lecture recordings were watched completely or partially, whether the recordings were watched once or multiple times, and the number of lectures the students missed. The five clusters are interpreted as representing different ways of utilising lecture recordings. The clustering provides a basis for investigating the usage of lecture recordings in the context of different approaches to learning and learning strategies.
关键词：lecture recording; lecture capture; approaches to learning; educational technology evaluation; self;regulated learning