Main content

Contributors:
  1. Stephan Dutke

Date created: | Last Updated:

: DOI | ARK

Creating DOI. Please wait...

Create DOI

Category: Project

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

Files

Loading files...

Citation

Components

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...

Recent Activity

Loading logs...

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...

Recent Activity

Loading logs...

Tags

Recent Activity

Loading logs...

OSF does not support the use of Internet Explorer. For optimal performance, please switch to another browser.
Accept
This website relies on cookies to help provide a better user experience. By clicking Accept or continuing to use the site, you agree. For more information, see our Privacy Policy and information on cookie use.
Accept
×

Start managing your projects on the OSF today.

Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.