153
Views
0
CrossRef citations to date
0
Altmetric
Articles

Seventh-grade students’ understanding of risk and reward arising from mathematical modelling activities*

ORCID Icon & ORCID Icon
Received 17 Mar 2022, Published online: 11 Oct 2023
 

Abstract

This study examined seventh-grade students’ emergent and progressive financial literacy in the context of risk and reward while working on two mathematical modelling tasks. The participants were six seventh-grade students identified as ‘good at mathematics’ by their teachers. The data sources comprised videotaped group discussions, group presentations, worksheets, and researchers’ field notes. The results revealed that students’ financial experience and mathematical knowledge influenced the mathematical modelling process in the context of risk and reward. Students with experience in financial contexts, similar to those in the modelling tasks, were more successful in making financial comments and linking mathematical knowledge. We conclude that mathematical modelling tasks would have encouraged students to discuss and adopt different approaches that facilitated more advanced financial thinking. How mathematical modelling activities might activate students’ financial knowledge in the context of risk and reward was discussed, and limitations and recommendations for further research are included.

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.