Login (DCU Staff Only)
Login (DCU Staff Only)

DORAS | DCU Research Repository

Explore open access research and scholarly works from DCU

Advanced Search

Coding Additive Word Problem-solving to see Shifts Around an Intervention

Venkatakrishnan, Hamsa orcid logoORCID: 0000-0002-6453-1623 and Tshesane, Herman (2023) Coding Additive Word Problem-solving to see Shifts Around an Intervention. African Journal of Research in Mathematics, Science and Technology Education, 27 (3). pp. 324-334. ISSN 2469-7656

Abstract
Evidence in South Africa of poor performance on word problems points to particular challenges among learners relating to difficulties with, on the one hand, making sense of mathematical word problems and, on the other, moving beyond inefficient counting based calculation methods. While many studies in mathematics education in South Africa have tended to focus on one or the other issue, in this paper our focus is on a coding model that brings both interpretation of word problems and calculation into view simultaneously. This coding model was devised to capture and summarise learner work on solving additive relations word problems across pre-, post- and delayed post-tests around an intervention focused on improving additive word problem-solving. The coding model allowed for initial quantitative summarising of learner responses in ways that facilitated the tracking of shifts in learners’ interpretations of the problem, their calculations and answers, while also pointing to salient avenues for more in-depth qualitative analysis. We argue through the analysis that the coding scheme afforded a holistic view of the profiles of learners’ engagement across the three tests, thus opening a path away from the tendency towards the single-focus of analyses of word problems seen in many prior studies.
Metadata
Item Type:Article (Published)
Refereed:Yes
Uncontrolled Keywords:Additive word problems, models & modelling, problem-solving, calculation, coordinating models, intervention
Subjects:UNSPECIFIED
DCU Faculties and Centres:UNSPECIFIED
Publisher:Taylor & Francis
Official URL:https://www.tandfonline.com/doi/epdf/10.1080/18117...
Copyright Information:Authors
ID Code:29982
Deposited On:24 May 2024 13:43 by Vidatum Academic . Last Modified 24 May 2024 13:43
Documents

Full text available as:

[thumbnail of 2023_AJRMSTE_Tshesane&Venkat.pdf]
Preview
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Creative Commons: Attribution-Noncommercial 4.0
535kB
Metrics

Altmetric Badge

Dimensions Badge

Downloads

Downloads

Downloads per month over past year

Archive Staff Only: edit this record