232
Views
1
CrossRef citations to date
0
Altmetric
Article

Prospective Teachers’ Attention to Realism and Consistency with Negative Integers, Addition, and Temperature

, &
Pages 226-241 | Published online: 16 Jul 2020
 

ABSTRACT

Writing and evaluating contextual problems is an important task in the work of teaching, and thus is part of the knowledge that prospective teachers must develop. In dealing with word problems posed both by children and themselves, prospective teachers will need to attend to the realism of the context and the consistency between the operation and context with integer operations. This study describes an examination of the ways in which 100 prospective teachers responded to a child’s temperature story for an integer addition number sentence (i.e., 9+6= ☐). The child’s story, which was an actual story posed by a Grade 5 student, did not use temperature realistically (realism), nor was it consistent with the given number sentence (consistency). The results indicated that when prospective teachers evaluated the child’s story, they tended to either focus on realism or consistency, but not both. If prospective teachers did not focus their response on realism or consistency, the response was much more likely to be unrealistic or inconsistent itself. Implications point to the importance of addressing both realism and consistency issues when examining integer word problems with prospective teachers.

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 88.00 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.