Patterns in students’ usage of lecture recordings: a cluster analysis of self-report data

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 eva...

Authors: Ebbert, Daniel
Dutke, Stephan
Division/Institute:FB 08: Geschichte, Philosophie
Document types:Article
Media types:Text
Publication date:2020
Date of publication on miami:14.01.2020
Modification date:14.01.2020
Edition statement:[Electronic ed.]
Source:Research in Learning Technology 28 (2020), 1-14
Subjects:lecture recording; lecture capture; approaches to learning; educational technology evaluation; self-regulated learning
DDC Subject:370: Bildung und Erziehung
License:CC BY 4.0
Language:English
Format:PDF document
URN:urn:nbn:de:hbz:6-42159407900
Permalink:http://nbn-resolving.de/urn:nbn:de:hbz:6-42159407900
Other Identifiers:DOI: 10.25304/rlt.v28.2258
Digital documents:artikel_ebbert_2020.pdf

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.