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Changing representation in contextual mathematical problems from descriptive to depictive

The effect on students’ performance

Bibliographic Data

ID20348259
AuthorsKees Hoogland (0000-0002-0650-6999, University of Applied Sciences Utrecht, corresponding author), Jaap de Koning (Erasmus University Rotterdam), Arthur Bakker (0000-0002-9604-3448, Utrecht University), Birgit Pepin (0000-0001-7804-145X, Eindhoven University of Technology), Birgit E U Pepin, Koeno Gravemeijer (Eindhoven University of Technology)
Year2018
Volume58
Pages122-131
Publication date2018-09-01
Open AccessYes
TypeARTICLE
VenueStudies In Educational Evaluation (JOURNAL)
Journal identifiersISSN: 0191-491X • E-ISSN: 1879-2529
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.stueduc.2018.06.004
OpenAlexW2810232251
LanguageEN
Citations received5
References cited39

Research on solving mathematical word problems suggests that students may perform better on problems with a close to real-life representation of the problem situation than on word problems. In this study we pursued real-life representation by a mainly depictive representation of the problem situation, mostly by photographs. The prediction that students perform better on problems with a depictive representation of the problem situation than on comparable word problems was tested in a randomised controlled trial with 31,842 students, aged 10–20 years, from primary and secondary education. The conclusion was that students scored significantly higher on problems with a depictive representation of the problem situation, but with a very small effect size of Cohen’s d = 0.09. The results of this research are likely to be relevant for evaluations of mathematics education where word problems are used to evaluate the mathematical capacity of students

Descriptive research · Descriptive statistics · Mathematics education · Pedagogy · Political science · Social science · Sociology · Statistics · Mathematics · Mathematics Education and Teaching Techniques · Psychology · Science Education and Pedagogy · Visual and Cognitive Learning Processes

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Citations per year0.83
Citation span2020 - 2025 (6)
Highly citedNo

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