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

Tempelaar, Dirk T.; Rienties, Bart and Nguyen, Quan (2018). Analysing the Use of Worked Examples and Tutored and Untutored Problem-Solving in a Dispositional Learning Analytics Context. In: Proceedings of the 10th International Conference on Computer Supported Education, 01-02 Feb 2018, Funchal, Madeira, pp. 294–301.

DOI: https://doi.org/10.5220/0006760202940301

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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About

• Item ORO ID
• 58164
• Item Type
• Conference or Workshop Item
• ISBN
• 989-758-291-6, 978-989-758-291-2
• Academic Unit or School
• Institute of Educational Technology (IET)
• Copyright Holders
• © 2018 SCITEPRESS
• Depositing User
• Bart Rienties