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The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index; none of the 38 sources its claims cite is checked for support yet.

The Effects of Problem Posing on Student Mathematical Learning: A Meta-Analysis

Open access
Rosli, Roslinda, Capraro, Mary Margaret, Capraro, Robert M.·2014·International Education Studies

Abstract

The purpose of the study was to meta-synthesize research findings on the effectiveness of problem posing and to investigate the factors that might affect the incorporation of problem posing in the teaching and learning of mathematics. The eligibility criteria for inclusion of literature in the meta-analysis was: published between 1989 and 2011, reported problem posing as an intervention, employed experimental research design, and provided data necessary to compute effect sizes. The large positive effect sizes (Hedges’ g) showed that problem posing activities provide considerable benefits for: mathematics achievement, problem solving skills, levels of problems posed, and attitudes toward mathematics. Several noteworthy limitations of this study were discussed.

Overview

CoChat Summary

TL;DR

This meta-analysis synthesizes 14 datasets from 13 experimental/quasi-experimental studies (1989–2011) on problem posing in mathematics and finds positive effects across knowledge, skill, ability, and attitude-belief outcomes. The largest weighted mean effect was for knowledge-based outcomes (Hedges’ g = 1.31), with effects ranging from .76 to 1.31 across outcomes.

Key findings

  • Problem posing had positive, statistically significant effects on all four coded learning outcomes: knowledge-based (mean Hedges’ g = 1.31, 95% CI 1.04–1.59), skill-based (g = .83, 95% CI .58–1.08), ability-based (g = .77, 95% CI .57–.98), and attitude-beliefs (g = .76, 95% CI .59–.93).
  • The meta-analysis included 14 unique datasets from 13 studies, with approximately 1,316 participants, mostly school students in grades 3–12 (1,038 participants) and preservice teachers (n = 278).
  • Moderator analyses found educational setting, publication source, and presentation type were statistically significant for several outcomes; for ability-based outcomes all hypothesized moderators were significant (p < .001), and for attitude-beliefs educational setting, research design, publication source, and presentation type were significant (p < .001).
  • Homogeneity tests showed heterogeneity for knowledge-based (Q = 68.12, df = 3, p < .001), ability-based (Q = 24.65, df = 6, p < .001), and attitude-beliefs (Q = 71.78, df = 5, p < .001), while skill-based effects were homogeneous (Q = 7.06, df = 4, p = .13).

Methods

  • Design: meta-analysis of studies published 1989–2011 that reported problem posing as an intervention without a computer system/program, used experimental research designs (treatment-control or pretest-posttest), were in English, and reported statistical data for effect-size calculation.
  • Data/sample: searches of ERIC, ProQuest Dissertations and Theses, PsycINFO, manual journal searches, and Google Scholar yielded 3,730 initial works; after screening, 14 individual studies/datasets met criteria.
  • Analysis: studies were coded with a 35-item coding sheet (inter-rater coding 80%, resolved to 100%); effect sizes used Glass’ Δ, Hedges’ g, and odds ratios converted to Hedges’ g, with Q homogeneity tests, funnel plots for publication bias, and fixed-effect moderator analyses via ANOVA.

Limitations

  • The paper states that few quantitative studies published on problem posing included relevant data for effect-size calculation; many studies lacked detailed intervention descriptions, making replication difficult and aggregation more complex, and some did not clearly present results systematically.
  • The paper states that only a small number of selected studies included randomization; many used quasi-experimental two-group or single-group pre-post designs, and one-group designs tend to inflate effect sizes.
  • The paper states that sample size is perhaps the most limiting aspect, partly because most studies were qualitative and did not report means and standard deviations; too few quantitative studies provided both adequate descriptions to code learning outcomes and the means/SDs for instruments used.
  • Evident from the text: the synthesis rests on only 14 datasets, and some moderator cells were based on one study (e.g., teacher preparation knowledge-based, non-specific problem posing skill-based), limiting robustness.

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Registry

Crossref · 10.5539/ies.v7n13p227

Cites

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Statistics

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Figures

Figure 1 Funnel plots of effect sizes according to knowledge-based, skill-based, attitude-beliefs, and ability-based (clockwise direction)
Figure 1 Funnel plots of effect sizes according to knowledge-based, skill-based, attitude-beliefs, and ability-based (clockwise direction)CC-BY · From the PDF

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Citations

Cites

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Research works printed but not linked: 5

  1. Akay, H., & Boz, N. (2010). The effect of problem posing oriented analysis-II course on the attitudes toward mathematics and mathematics self-efficacy. Australian Journal of Teacher Education, 35, 59-75.
  2. Demir, B. B. (2005). The effect of instruction with problem posing on tenth grade students' probability achievement and attitudes toward probability (Unpublished master's thesis). Middle East Technical University, Turkey.
  3. Dickerson, V. M. (1999). The impact of problem posing intervention on the mathematical problem solving achievement of seventh graders (Unpublished doctoral dissertation). Emory University, Atlanta, GA.
  4. Schloemer, C. G. (1994). Integrating problem posing into instruction in advanced algebra: Feasibility and outcomes (Unpublished doctoral dissertation). University of Pittsburg, PA.
  5. Stoyanova, E., & Ellerton, (1996). A framework for research into students' problem posing in school mathematics. In P. C. Clarkson (Ed.), Technology in mathematics education (pp. 518-525). Mathematics Education Research Group of Australasia. The University of Melbourne.

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Metadata

Authors
Rosli, R., Capraro, M. M., & Capraro, R. M.
Affiliations
  • National University of Malaysia (MY)
  • Texas A&M University (US)
Venue
International Education Studies
Published
2014-12-22
Volume
7
Issue
13
ISSN
  • 1913-9020 (ISSN-L)
  • 1913-9039
OpenAlex
W2126401369
Cited by
106
References
42
Citations by year
2026: 12 · 2025: 8 · 2024: 14 · 2023: 9 · 2022: 7 · 2021: 10 · 2020: 14 · 2019: 9 · 2018: 13 · 2017: 7 · 2016: 3
FWCI
1.19
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • International Education Studies (publishedVersion, cc-by)
  • Greater South Information System
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, mathematics learning, mathematics achievement, problem-solving skills, attitudes toward mathematics, mathematics education, effect size

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CoChat. (2026). Citation check: The Effects of Problem Posing on Student Mathematical Learning: A Meta-Analysis. https://app.cochat.ai/papers/10.5539/ies.v7n13p227
The paper
Rosli, R., Capraro, M. M., & Capraro, R. M. (2014). The Effects of Problem Posing on Student Mathematical Learning: A Meta-Analysis. International Education Studies. https://doi.org/10.5539/ies.v7n13p227

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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.