Cognitive Factors and Representation Strategies in Sketching Math Diagrams

Damian R. Morden-Snipper, Ting Dai, Julie L. Booth, Briana L. Chang, Jennifer G. Cromley, Nora S. Newcombe

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Previous research has shown sketching to be useful to students solving math problems. The present study examines which aspects of middle school students' sketching are related to, or predict, successfully answering math problems. The effects of individual differences in cognitive factors - working memory, spatial ability, and prior math knowledge - on answer accuracy are also analyzed. Stepwise regression analysis indicates that prior math knowledge and the inclusion of numerical representations of key problem relationships in sketches positively predict answer accuracy, whereas including irrelevant relationships in a sketch is associated with lower answer accuracy. Methodological implications for future research are discussed.

Original languageEnglish (US)
Title of host publicationProceedings of the 37th Annual Meeting of the Cognitive Science Society, CogSci 2015
EditorsDavid C. Noelle, Rick Dale, Anne Warlaumont, Jeff Yoshimi, Teenie Matlock, Carolyn D. Jennings, Paul P. Maglio
PublisherThe Cognitive Science Society
Pages1637-1642
Number of pages6
ISBN (Electronic)9780991196722
StatePublished - 2015
Externally publishedYes
Event37th Annual Meeting of the Cognitive Science Society: Mind, Technology, and Society, CogSci 2015 - Pasadena, United States
Duration: Jul 23 2015Jul 25 2015

Publication series

NameProceedings of the 37th Annual Meeting of the Cognitive Science Society, CogSci 2015

Conference

Conference37th Annual Meeting of the Cognitive Science Society: Mind, Technology, and Society, CogSci 2015
Country/TerritoryUnited States
CityPasadena
Period7/23/157/25/15

Keywords

  • diagrams
  • mathematics
  • middle school
  • sketching
  • spatial ability
  • working memory

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Human-Computer Interaction
  • Cognitive Neuroscience

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