Word problems versus image-rich problems

Authors Kees Hoogland , Birgit Pepin , Jaap de Koning , Arthur Bakker , Koeno Gravemeijer
Published in Research in Mathematics Education
Publication date 2018
Research groups Mathematical and analytical competences of professionals
Type Article

Summary

This article reports on a post hoc study using a randomised controlled trial with 31,842 students in the Netherlands and an instrument consisting of 21 paired problems. The trial showed a variability in the differences of students’ results in solving contextual mathematical problems with either a descriptive or a depictive representation of the problem situation. In this study the relation between this variability and two task characteristics is investigated: (1) complexity of the task representation; and (2) the content domain of the task. We found indications that differences in performance on descriptive and depictive representations of the problem situation are related to the content domain of the problems. One of the tentative conclusions is that for depicted problems in the domain of measurement and geometry the inferential step from representation of the problem situation to the mathematical problem to be solved is smaller than for word problems.

researchcomponents.publicationcontent.personslist.publicationauthors

  • Kees Hoogland
    • Professor
    • Research groups: Mathematical and analytical competences of professionals

Language English
Published in Research in Mathematics Education
Year and volume 20 1
ISBN/ISSN URN:ISSN:1754-0178
Key words contextual mathematics problem, task characteristics, word problem
Digital Object Identifier https://doi.org/10.1080/14794802.2017.1413414
Page range 37-52

Kees Hoogland

Kees Hoogland

  • Professor
  • Research group: Mathematical and analytical competences of professionals