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The DOI matches its Crossref record; 36 of the 38 references it cites were found in a registry or an index; none of the 21 sources its claims cite is checked for support yet.

A Meta-Analysis of the Impact of Problem Posing Strategies on Students’ Learning of Mathematics

Open access
KUL, Ümit, ÇELİK, Sedef·2020·Revista Romaneasca pentru Educatie Multidimensionala

Abstract

This is a review of experimental research in which students have been taught to pose mathematical problems as a means of developing their learning. Hence, the aim of the research is to combine the empirical evidence regarding the functionality of problem posing strategies and to explore the aspects which could influence the integration of problem posing in mathematical education. In this direction, a meta-analysis approach was utilized in this study. 20 experimental research published between years of 2000 and 2020 are contained in this research and 31 effect sizes were computed. According to random effects model, it was found that problem posing strategy has significant impact on learners’ problem-solving skills, mathematics achievement, level of problems posed, and attitudes towards mathematics (ES = 1.328; 1.142; 1.152; 0.643; p=0.05). These effects also were analyzed according to methodological and instructional variables. The findings obtained in the research was discussed in the light of the literature and suggestions were made for the future studies.

Overview

CoChat Summary

TL;DR

This meta-analysis of 20 experimental studies (31 effect sizes) found that problem posing-based mathematics teaching had positive effects on students’ mathematical learning outcomes. Effects were high for problem-solving skills, problem-posing ability, and mathematics achievement, and moderate for attitudes/beliefs.

Key findings

  • Across 20 studies with 2,349 students (1,091 experimental, 1,258 control), random-effects mean effect sizes were 1.328 for skill-based outcomes, 1.152 for ability-based outcomes, 1.142 for knowledge-based outcomes, and 0.643 for attitude-belief outcomes (all p<0.05).
  • Using Cohen’s classification, attitude effects were moderate, while ability-based, knowledge-based, and skill-based effects were high.
  • Moderator analyses found study type moderated ability-based outcomes (Qb=50.028, p<0.05) and attitude outcomes (Qb=4.534, p<0.05); study method and sample group moderated skill-based outcomes (Qb=27.509, p<0.05 for both); duration moderated knowledge (Qb=12.450, p<0.05) and skill-based outcomes (Qb=29.998, p<0.05); learning area moderated skill-based outcomes (Qb=26.043, p<0.05).
  • Publication bias checks—funnel plot, Duval Tweedie Trim and Fill, and classic fail-safe N—indicated no publication bias; the fail-safe N required 68 ability-based, 87 attitude, 557 knowledge, and 185 skill-based contrary studies to invalidate the results.

Methods

  • Meta-analysis of experimental research published between 2000 and 2020; databases searched were Web of Science, National Thesis Center, ProQuest Dissertations & Theses Global, ERIC, and Google Scholar; 339 studies were found and 20 met inclusion criteria, producing 31 effect sizes.
  • Outcomes were coded as ability-based, attitude-belief, knowledge-based, and skill-based; effect sizes used Cohen’s d, and a random-effects model was applied because heterogeneity was high; analyses used CMA software.
  • Moderator variables were methodological (study type, study method, sample group, measurement tool) and instructional (learning area, problem type, preparation for problem posing, duration); Qb values tested moderator differences; publication bias was assessed with funnel plot, Duval Tweedie Trim and Fill, and classic fail-safe N.

Limitations

  • The paper states that it only brings together experimental studies related to problem posing; it recommends future experimental studies with larger sampling groups and relational meta-analyses examining correlations between problem posing and mathematical learning outcomes.
  • Evident from the text: heterogeneity was high (e.g., knowledge Q=123.665, p<0.05), and the number of effect sizes per outcome was small (ability k=5, attitude k=7, knowledge k=12, skill k=7), with some moderator categories containing only 1–2 studies, so moderator findings should be interpreted cautiously.

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Integrity signals

Registry

Crossref · 10.18662/rrem/12.3/325

Cites

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Figures

Figure 1 Effect size funnels related to publication bias
Figure 1 Effect size funnels related to publication biasCC-BY-NC-ND · From the PDF

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Citations

Cites

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Research works printed but not linked: 7

  1. 2098 · DOI
  2. Çoğaltay, N., Karadağ, E., & Öztekin, Ö. (2014). The effect of school principals' transformational leadership behaviors on teachers' organizational commitment: a meta analysis study. educational administration: Theory and Practice, 20(4), 483-500. https://doi.org/10.14527/kuey.2014.019 · doi:10.14527/kuey.2014.019
  3. El Sayed, R. A. E. (2002). Effectiveness of problem posing strategies on prospective mathematics teachers' problem solving performance. Journal of Science and Mathematics Education in Southeast Asia, 25(1), 56-69. https://inst.eecs.berkeley.edu/~cs375/fa18/resources /Oman- problemssolving.pdf
  4. Kaya, D. R. (2016). Problem solving based learning in math educatiȯn: Meta -analysis study [Unpublished master's thesis]. Recep Tayyip Erdoğan University, Rize.
  5. Lavy, I., & Shriki, A. (2007). Problem posing as a means for developing mathematical knowledge of prospective teachers. In Proceedings of the 31st Conference of the International Group for the Psychology of Mathematics Education, 3, 129-136. PME.
  6. Silver, E. A. (1994). On mathematical problem posing. For the Learning of Mathematics, 14(1), 19-28. https://doi.org/10.2307/749366 · doi:10.2307/749366
  7. Stoyanova, E., & Ellerton, N. F. (1996). A framework for research into students' problem posing. In P. Clarkson (Ed.), Technology in mathematics education (pp. 518-525). Mathematics Education Research Group of Australasia.

Cited by

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Metadata

Authors
KUL, Ü., & ÇELİK, S.
Affiliations
Artvin Coruh University (TR)
Venue
Revista Romaneasca pentru Educatie Multidimensionala
Published
2020-09-21
Volume
12
Issue
3
Pages
341-368
ISSN
  • 2066-7329 (ISSN-L)
  • 2067-9270
OpenAlex
W3092570935
Cited by
31
References
38
Citations by year
2026: 7 · 2025: 7 · 2024: 7 · 2023: 4 · 2022: 6
FWCI
0.58
Type
journal article
Language
en
Open access
Licence
cc-by-nc-nd
Locations
  • Revista Romaneasca pentru Educatie Multidimensionala (publishedVersion, cc-by-nc-nd)
  • RePEc: Research Papers in Economics (submittedVersion)
Topics
  • Social Sciences › Education › Mathematics Education and Pedagogy
  • Social Sciences › Education › Mathematics Education and Teaching Techniques
  • Social Sciences › Education › Problem and Project Based Learning
Keywords
problem posing, mathematical problem posing, mathematics learning, mathematical problem solving ability, mathematics achievement, attitudes towards mathematics, mathematics education

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CoChat. (2026). Citation check: A Meta-Analysis of the Impact of Problem Posing Strategies on Students’ Learning of Mathematics. https://app.cochat.ai/papers/10.18662/rrem/12.3/325
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KUL, Ü., & ÇELİK, S. (2020). A Meta-Analysis of the Impact of Problem Posing Strategies on Students’ Learning of Mathematics. Revista Romaneasca pentru Educatie Multidimensionala. https://doi.org/10.18662/rrem/12.3/325

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.