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

Contributors:
  1. Stephan Dutke

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Description: Students’ usage of lecture recordings can be characterized 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) we evaluated the lecture recording service over three semesters. This data was combined and used for a cluster analysis with the goal of being able to describe 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 in parts, 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 utilizing 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.

License: CC-By Attribution 4.0 International

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  • University of Münster lecture capture service evaluation data from the winter semester 2016/17, summer semester 2017 and winter semester 2017/18

    This project contains the anonymized datasets from the evaluation of the lecture capture service at the University of Münster from the semsters: winte...

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  • Lecture recording usage patterns analysis script for cluster analysis

    This project contains the analysis script for the cluster analysis on lecture recording usage patterns based on the University of Münster lecture capt...

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