Fraction magnitude student explanations: A latent class analysis
Lindy Crawford 1 , Jacqueline Huscroft-D’Angelo 2 , Sarah Quebec Fuentes 3 * , Matthew C. Lambert 4
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1 Lee Pesky Learning Center, USA2 Oregon Research Institute, USA3 Texas Christian University, USA4 University of Illinois Urbana-Champaign, USA* Corresponding Author

Abstract

The study examined the types of explanations students provide for fraction magnitude problems. Student responses were coded into one of five explanation types: (a) absent, (b) faulty, (c) conceptual-partially developed, (d) algorithmic, and (e) conceptual-fully developed. When examining latent classes specific to students’ explanations of their knowledge of fraction magnitude, a five-class model was the most tenable, conveying the presence of five distinct student profiles. The algorithmic class represented the largest percentage of student explanations and also revealed the strongest correlation with criterion measures. A combined algorithmic-conceptual class was not identified.

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Article Type: Research Article

INT ELECT J MATH ED, Volume 21, Issue 1, February 2026, Article No: em0861

https://doi.org/10.29333/iejme/17446

Publication date: 01 Jan 2026

Online publication date: 19 Nov 2025

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