602
Views
2
CrossRef citations to date
0
Altmetric
Articles

Exploring students’ misconceptions of the function concept through problem-posing tasks and their views thereon

, , & ORCID Icon
Pages 3261-3285 | Received 30 Dec 2020, Published online: 18 Jun 2021
 

Abstract

Many studies have investigated students’ problem-posing activities. However, there has not been a strong focus on affective aspects in mathematical problem-posing. Also, students’ understanding of the function concept whilst generating functions has not previously been investigated. This paper investigated students’ misconceptions of the function concept through problem-posing tasks. It also delineates students’ views on the problem-posing experiences in a functional context. The participants of this study were 74 female high-school students, of whom six were selected according to their performance on a problem-posing test to air their views. The findings show that problem-posing was a good approach for pinpointing students’ misconceptions about function concept, some of which are presented in this paper. Students’ interviews also indicate that, besides being productive and enjoyable for students, problem-posing activities helped them to develop a deeper understanding of the function concept through reflection. Indeed, exploring students’ views in depth made it possible to provide a better analysis of the factors that can inform the effective use of problem-posing in mathematics education.

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 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 372.00 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.