Insights from Paper Folding: Spatial Visualization Processes and Their Link to Mathematics.

Danielle Harris, Tom Lowrie

Research output: A Conference proceeding or a Chapter in BookChapterpeer-review

Abstract

Spatial visualization (SV) involves transformations to the structure and relations of an object through a complex sequence of maneuvers. These skills are associated with mathematics performance. Research to date primarily involves analyzing psychometric measures to determine the nature of relations. Conse quently, there is in a gap in knowledge around the process-based associations between SV and mathematics. In this study, 259 Grade 8 students (52.9% female) completed tests of SV and mathematics, and open-ended paper folding tasks. They were categorized as High (HS), Mid (MS), or Low (LS) spatial. HS students completed most open-ended tasks with better than average success. Although LS students did not perform as well as HS students, those who completed the more complex open-ended fold task had higher success rates than MS students, indicating the use of effective strategies, regardless of spatial skill. There were differences in student responses for diagonal- compared with straight-fold tasks. Diagonal tasks were associated with spatial skill but not with mathematics per formance. HS students used successful spatial strategies for the open-ended tasks and mathematics. For MS students, there was an association between spatial tasks and word and geometry-measurement problems. There was minimal association between the open-ended spatial tasks and mathematics for LS students. The paper concludes with a discussion around the functional role of spatial visualization in mathematics and avenues for future research
Original languageEnglish
Title of host publicationSpatial Cognition XIII
Subtitle of host publication13th International Conference, Spatial Cognition 2024, Dublin, Ireland, June 25–28, 2024, Proceedings
EditorsMarija Živković, Gavin Duffy, Jeffrey Buckley, Marianna Pagkratidou
PublisherSpringer
Pages3-18
Number of pages16
ISBN (Electronic)9783031631153
Publication statusPublished - 23 Jun 2024

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
ISSN (Print)14756

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