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).
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Schulz, A.H., Jeske, D. (2014). Learner Differences in the Online Context: Introducing a New Method. In: Passey, D., Tatnall, A. (eds) Key Competencies in ICT and Informatics. Implications and Issues for Educational Professionals and Management. ITEM 2014. IFIP Advances in Information and Communication Technology, vol 444. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45770-2_26
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DOI: https://doi.org/10.1007/978-3-662-45770-2_26
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