From the whole to its parts – A systematic analysis of affordances for learning part-whole-relations in digital apps
Caroline Marx 1 * , Stephanie Roesch 2 3 , Korbinian Moeller 3 4 , Christiane Benz 1
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1 University of Education Karlsruhe, Karlsruhe, GERMANY2 University of Tübingen, Hector Research Institute of Education Sciences and Psychology, Tübingen, GERMANY3 LEAD Graduate School and Research Network, University of Tübingen, Tübingen, GERMANY4 Department of Mathematics Education, Loughborough University, Loughborough, UK* Corresponding Author

Abstract

Understanding part-whole relations is crucial in early mathematics education. However, both analogue and digital learning environments often lack systematic approaches to foster part-whole understanding. With the rising popularity of educational apps, it is essential to evaluate how they implement learning of part-whole relations. Accordingly, this review aims to evaluate whether educational math apps provide a systematic approach to learn part-whole relations. Therefore, we first developed a framework for evaluating apps with a focus on opportunities for learning part-whole relations. Second, we applied this framework to evaluate n = 18 apps. Results indicated that none of the reviewed apps implemented a systematic approach to learn part-whole relations from hands-on to more abstract compositions/decompositions including number triples up to ten. In contrast, the automating of number compositions/decompositions is most frequently targeted. These findings underscore the importance of selecting educational apps carefully and integrating principles from effective learning environments and digital learning research into future app design.

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Article Type: Review Article

INT ELECT J MATH ED, Volume 20, Issue 1, February 2025, Article No: em0802

https://doi.org/10.29333/iejme/15677

Publication date: 01 Jan 2025

Online publication date: 04 Dec 2024

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