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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 (Digital Object Identifier) Link: https://doi.org/10.5220/0007674900380047
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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.

Item Type: Conference or Workshop Item
Copyright Holders: 2019 SCITEPRESS – Science and Technology Publications, Lda. All rights reserved
ISBN: 989-758-367-X, 978-989-758-367-4
Keywords: blended learning; dispositional learning analytics; learning strategies; multi-modal data; prediction models; tutored problem-solving; untutored problem-solving; worked examples
Academic Unit/School: Faculty of Wellbeing, Education and Language Studies (WELS)
Item ID: 61697
SWORD Depositor: Jisc Publications-Router
Depositing User: Jisc Publications-Router
Date Deposited: 11 Jun 2019 11:10
Last Modified: 18 Jun 2019 08:28
URI: http://oro.open.ac.uk/id/eprint/61697
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