Impact and Prevalence of Diagrammatic Supports in Mathematics Classrooms

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  • Additional Information
    • Peer Reviewed:
      Y
    • Source:
      17
    • Sponsoring Agency:
      National Science Foundation (NSF)
      Institute of Education Sciences (ED)
    • Contract Number:
      SMA1548292
      R305A170488
    • Education Level:
      Junior High Schools
      Middle Schools
      Secondary Education
      Elementary Education
      Grade 8
      Grade 5
      Intermediate Grades
    • Subject Terms:
    • Subject Terms:
    • Subject Terms:
    • Abstract:
      Mathematical problem solving typically involves manipulating visual symbols (e.g., equations), and prior research suggests that those symbols serve as diagrammatic representations (e.g., Landy & Goldstone, 2010). The present work examines the ways that instructional design of student engagement with these diagrammatic representations may impact student learning. We report on two studies. The first describes systematic cross-cultural differences in the ways that teachers use mathematical representations as diagrammatic supports during middle school mathematics lessons, finding that teachers in two higher achieving regions, Hong Kong, and Japan, more frequently provided multiple layers of support for engaging with these diagrams (e.g. making them visible for a longer period, using linking gestures, and drawing on familiarity in those representations), than teachers in the U.S., a lower achieving region. In Study 2, we experimentally manipulated the amount of diagrammatic support for visually presented problems in a video-based fifth-grade lesson on proportional reasoning to determine whether these multiple layers of support impact learning. Results suggest that learning was optimized when supports were used in combination. Taken together, these studies suggest that providing visual, temporal, and familiarity cues as supports for learning from a diagrammatic representation is likely to improve mathematics learning, but that administering these supports non-systematically is likely to be overall less effective. [This paper was published in: Chapman P., Stapleton G., Moktefi A., Perez-Kriz S., Bellucci F. (eds) Diagrammatic Representation and Inference. Diagrams 2018. Lecture Notes in Computer Science, vol 10871. Springer, Cham.]
    • Abstract:
      As Provided
    • IES Funded:
      Yes
    • Publication Date:
      2020
    • Accession Number:
      ED605662