Analysing the Use of Worked Examples and Tutored and Untutored Problem-Solving in a Dispositional Learning Analytics Context

Tempelaar, Dirk; Rienties, Bart and Nguyen, Quan (2019). Analysing the Use of Worked Examples and Tutored and Untutored Problem-Solving in a Dispositional Learning Analytics Context. In: Proceedings of the 11th International Conference on Computer Supported Education - Volume 2: CSEDU (Lane, H.; Zvacek, Susan and Uhomoibhi, James eds.), SCITEPRESS - Science and Technology Publications, 2 pp. 38–47.

DOI: https://doi.org/10.5220/0007674900380047

Abstract

The identification of students’ learning strategies by using multi-modal data that combine trace data with self-report data is the prime aim of this study. Our context is an application of dispositional learning analytics in a large introductory course mathematics and statistics, based on blended learning. Building on previous studies in which we found marked differences in how students use worked examples as a learning strategy, we compare different profiles of learning strategies on learning dispositions and learning outcome. Our results cast a new light on the issue of efficiency of learning by worked examples, tutored and untutored problem-solving: in contexts where students can apply their own preferred learning strategy, we find that learning strategies depend on learning dispositions. As a result, learning dispositions will have a confounding effect when studying the efficiency of worked examples as a learning strategy in an ecologically valid context.

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