Henrik Bellhäuser

University of Darmstadt, Germany

Intra-individual variability in an online course

Log file data from online learning platforms (e.g. the open-source software Moodle) can provide rich information about learning behavior of students. However, they are rarely used by researcher so far, possibly because data cleansing and analyses seem to be more complex for log files than for other measurement instruments. Moreover, the interpretation of log files as traces of self-regulated learning might not be as straightforward. Parameters that can be derived from log files include time on task, mean login times, variability in login times, and complexity of navigation patterns. Whether these types of information are sufficient to infer competencies of the user remains an open research question. In my talk I will target this question on the basis of time series data from an online mathematics course, focusing on an intrapersonal perspective.

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