Examining the representation and understanding of large magnitudes using the hierarchical alignment model of analogical reasoning

Ilyse RESNICK, Thomas F. Shipley, Nora S. Newcombe, Christine Massey, Theodore Wills

Research output: A Conference proceeding or a Chapter in BookConference contribution

Abstract

Understanding scale is fundamental in science education, but scale comprehension is difficult. One reason difficulties may arise is a disconnect between the linear scale of magnitude and how scale information is cognitively represented. An intervention was designed to foster a linear representation of magnitude, based on the theory that people represent magnitude information in a hierarchically organized structure. The intervention extends principles from the progressive alignment model of analogical reasoning to include hierarchical alignment. Half the students in an undergraduate introductory-level geology class were given multiple opportunities to progressively align time to a constant spatial scale in a linear representation, and locate all previous scales relative to the current scale. The other half of the class received the same content and practice aligning time to space. The intervention group demonstrated a more accurate sense of the relative durations of geological events and a reduction in the magnitude of temporal location errors relative to the control group. These findings suggest that the hierarchical and progressive alignment of geologic time is an effective way to reduce magnitude-based errors in understanding geologic time. These findings are consistent with the category adjustment model, and suggest commonalities between number and time magnitude representation Educational implications are discussed.
Original languageEnglish
Title of host publicationProceedings of the 34th Annual Conference of the Cognitive Science Society
EditorsN Miyake, D Peebles, R. P. Cooper
Place of PublicationAustin, TX
PublisherCognitive Science Society
Pages917-922
Number of pages6
Publication statusPublished - 2012
Externally publishedYes

Publication series

NameProceedings of the Annual Meeting of the Cognitive Science Society
PublisherUniversity of California
Volume34
ISSN (Print)1069-7977

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  • Cite this

    RESNICK, I., Shipley, T. F., Newcombe, N. S., Massey, C., & Wills, T. (2012). Examining the representation and understanding of large magnitudes using the hierarchical alignment model of analogical reasoning. In N. Miyake, D. Peebles, & R. P. Cooper (Eds.), Proceedings of the 34th Annual Conference of the Cognitive Science Society (pp. 917-922). (Proceedings of the Annual Meeting of the Cognitive Science Society; Vol. 34). Cognitive Science Society . https://escholarship.org/uc/item/7k83n8mt