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Tangibles for learning: A representational analysis of physical manipulation

Manches, A.; O’Malley, C.

Authors

A. Manches



Abstract

Manipulatives—physical learning materials such as cubes or tiles—are prevalent in educational settings across cultures and have generated substantial research into how actions with physical objects may support children’s learning. The ability to integrate digital technology into physical objects—so-called ‘digital manipulatives’—has generated excitement over the potential to create new educational materials. However, without a clear understanding of how actions with physical materials lead to learning, it is difficult to evaluate or inform designs in this area. This paper is intended to contribute to the development of effective tangible technologies for children’s learning by summarising key debates about the representational advantages of manipulatives under two key headings: offloading cognition—where manipulatives may help children by freeing up valuable cognitive resources during problem solving, and conceptual metaphors—where perceptual information or actions with objects have a structural correspondence with more symbolic concepts. The review also indicates possible limitations of physical objects—most importantly that their symbolic significance is only granted by the context in which they are used. These arguments are then discussed in light of tangible designs drawing upon the authors’ current research into tangibles and young children’s understanding of number.

Citation

Manches, A., & O’Malley, C. (2012). Tangibles for learning: A representational analysis of physical manipulation. Personal and Ubiquitous Computing, 16(4), 405-419. https://doi.org/10.1007/s00779-011-0406-0

Journal Article Type Article
Online Publication Date Jul 8, 2011
Publication Date 2012
Deposit Date Aug 15, 2018
Journal Personal and Ubiquitous Computing
Print ISSN 1617-4909
Electronic ISSN 1617-4917
Publisher Springer
Volume 16
Issue 4
Pages 405-419
DOI https://doi.org/10.1007/s00779-011-0406-0
Public URL https://durham-repository.worktribe.com/output/1351995


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