273
Views
0
CrossRef citations to date
0
Altmetric
Research Articles

Topic specificity of students’ conceptual and procedural fraction knowledge and its impact on errors

ORCID Icon, ORCID Icon & ORCID Icon
Pages 45-69 | Received 12 Aug 2021, Accepted 06 Oct 2022, Published online: 15 Nov 2022
 

ABSTRACT

When learning about fractions, teaching usually follows certain topics – e.g. part of the whole, fraction equivalence, and size comparison. Not yet answered is whether students’ conceptual and procedural knowledge of fractions is coherent between those topics. To answer this question, we performed a latent profile analysis of data from N = 1005 six-grade students regarding their conceptual and procedural knowledge in the three above-mentioned topics. Our results confirmed that the level of conceptual and procedural fraction knowledge can vary within students between topics. Furthermore, the analysis of students’ errors showed that conceptual knowledge of fractions within a specific topic is related to topic-specific error types – with conceptual errors (compared to non-conceptual errors) being demonstrated relatively more often by students with low conceptual knowledge. This indicates that to derive adequate support strategies for individual students, differentiated consideration of their topic-specific conceptual and procedural knowledge should be considered.

Disclosure statement

No potential conflict of interest was reported by the authors.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 342.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.