Can Mental Rotation Predict Performance in an Online Geometry Assignment?

Hannah Smith, Kay Ramey, Neil Heffernan, David Uttal

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

Abstract

Mental rotation knowledge has been linked to math performance, specifically in geometry, but it is unclear when, why, and how mental rotation affects achievement. We extend prior research by examining the relation between mental rotation skill and performance in two online geometry assignments on different topics (e.g., translations, rotations) and presented in two different ways to prime problem-solving strategies (e.g., analytic, visuospatial). Within each problem set, students completed four mental rotation problems, then an online problem set. The results indicated that: (1) mental rotation skill predicted assignment mastery speed regardless of topic; (2) problem presentation did not affect mastery speeds; (3) there was no interaction between mental rotation skill and problem presentation. We conclude that mental rotation skill may be more important in solving geometry problems than problem presentation and strategy use.

Original languageEnglish (US)
Title of host publicationInternational Collaboration toward Educational Innovation for All
Subtitle of host publicationOverarching Research, Development, and Practices - 16th International Conference of the Learning Sciences, ICLS 2022
EditorsClark Chinn, Edna Tan, Carol Chan, Yael Kali
PublisherInternational Society of the Learning Sciences (ISLS)
Pages1361-1364
Number of pages4
ISBN (Electronic)9781737330653
StatePublished - 2022
Event16th International Conference of the Learning Sciences, ICLS 2022 - Virtual, Online, Japan
Duration: Jun 6 2022Jun 10 2022

Publication series

NameProceedings of International Conference of the Learning Sciences, ICLS
ISSN (Print)1814-9316

Conference

Conference16th International Conference of the Learning Sciences, ICLS 2022
Country/TerritoryJapan
CityVirtual, Online
Period6/6/226/10/22

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Education

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