Learner differences in the online context: Introducing a new method

Arne Hendrik Schulz, Debora Jeske

Research output: Contribution to conferencePaperpeer-review

Abstract

The paper introduces an alternative method to analyze different learning styles among students. This method was developed as an alternative to more traditional methods such as hierarchical cluster analysis. The method was tested using a large data set (n = 868) which included participants completing a small e-module in addition to a small number of measures to assess learner characteristics. The resulting log files were analyzed using the new method. Results were similar to those observed using traditional methods. The method provides a new starting point for subsequent analysis and identification of learner differences using other information such as log files from e-learning and Massive Online Open Courses (MOOCs).
Original languageEnglish
Publication statusPublished - 2014
EventInternational Conference on Key Competencies in Informatics and Information and Communication Technologies, KCICTP and ITEM 2014; - Potsdam, Germany
Duration: 1 Jan 2014 → …

Conference

ConferenceInternational Conference on Key Competencies in Informatics and Information and Communication Technologies, KCICTP and ITEM 2014;
Period1/01/14 → …

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