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The DOI matches its Crossref record; 124 of the 125 references it cites were found in a registry or an index; 2 of the 43 sources its claims cite were checked for support.

Enhancing mathematical problem posing competence: a meta-analysis of intervention studies

Open access
Zhang, Ling, Stylianides, Gabriel J., Stylianides, Andreas J.·2024·International Journal of STEM Education

Abstract

Mathematical problem posing, generally defined as the process of interpreting given situations and formulating meaningful mathematical problems, is academically important, and thus several interventions have been used to enhance this competence among students and teachers. Yet little is known about the interventions’ various components and their relative or combined effectiveness. In this meta-analysis of 26 intervention studies in mathematics, we identified nine intervention components and found that the interventions had a medium, positive, and significant mean weighted effect size. A stepwise meta-regression analysis revealed that intervention efficacy varied by moderators relevant to the research design, sample characteristics, and intervention characteristics. The findings obtained from this meta-analysis are expected to serve as a foundation for future efforts to design and implement (more) effective interventions to improve mathematical problem posing competence.

Overview

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TL;DR

This meta-analysis of 26 intervention studies found that interventions to enhance mathematical problem posing competence had a medium, positive, significant overall effect (g = 0.72, 95% CI [0.53, 0.90], p < .001). Effects varied by research design, sample level, sample size, and intervention component number/mode/type, while intervention duration was not a significant moderator.

Key findings

  • Nine intervention components were identified under activity-based practice, method-based assistance, and environment-based support; the most common were engagement with problem posing activities (65.4%, n = 17) and creation of an interactive learning environment (46.2%, n = 12).
  • The overall treatment effect was medium, positive, and significant (g = 0.72, 95% CI [0.53, 0.90], p < 0.001). Cluster effects were 0.73 for quality of posed problems, 0.60 for quantity of posed problems, and 0.79 for noncognitive outcomes, with no significant between-cluster variance (p = 0.88).
  • Moderators: K-12 students showed 89% and 96% higher effect sizes than prospective teachers (p < 0.001) and in-service teachers (p < 0.01); small groups (< 25) showed 72% higher effects than large groups (> 50) (p < 0.1); interventions with more than one component showed 63% higher effects than single-component interventions (p < 0.05); one-based support showed 64% and 186% higher effects than two-based (p < 0.05) and mixed-based support (p < 0.01); method-based assistance showed 84% higher effects (p < 0.1) and environment-based support 83% higher effects (p < 0.05). Pre-post design showed 58% higher effects than pre-post-control (p < 0.1). Duration was not a significant moderator.
  • Publication bias: Egger’s test was significant (p < 0.05); trim-and-fill imputed nine missing negative studies and reduced the point estimate to r = 0.5109 (95% CI [0.304, 0.715]); mixed-effects meta-regression for funnel plot asymmetry was not significant (z = 1.719, p > 0.05), so the authors concluded there was not enough evidence of publication bias.

Methods

  • PRISMA systematic search in July 2021 across Web of Science, ERIC, PsycINFO, and Springer, plus the first 15 pages of Google Scholar; inclusion required peer-reviewed journal articles or book chapters, English, publication between January 1990 and June 2021, problem posing as a goal, and quantitative data sufficient for effect size calculation. From 1,412 records, 509 underwent full review, 39 were retained, and 26 were included in the meta-analysis.
  • Two trained research assistants extracted and coded data; inter-rater reliability was Cohen’s kappa = 0.9. Intervention components were categorized using the constant comparative method into activity-based practice, method-based assistance, and environment-based support.
  • Random-effects meta-analysis used Hedge’s g; change-score effect sizes were transformed to a raw-score metric. A stepwise meta-regression tested moderators; one outlier (Kalmpourtzis, 2019, g = 3.32) was removed. Publication bias was assessed with Egger’s test, trim-and-fill, and mixed-effects meta-regression.

Limitations

  • Paper-stated: the authors could not access several potential studies; they excluded conference publications; publication bias may still have influenced findings despite statistical tests; considerable between-study heterogeneity suggests unaccounted moderators; intervention duration was measured as the time over which an intervention was spread rather than actual treatment time, possibly diluting effects; some moderator findings used p < 0.10 and are less robust.
  • Paper-stated: future meta-analyses should explore additional moderators such as dependent measure type (researcher-developed vs. standardized measures) and study quality rating.
  • Evident from the text: only 26 studies were included, many moderator categories likely contained few studies; residual heterogeneity remained high (I² = 75.3% with the outlier; 69.2% without it); only English-language peer-reviewed publications were included; and most studies (19/26) were published after 2010.

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Integrity signals

Registry

Crossref · 10.1186/s40594-024-00507-1

Cites

124 of 124 references verified0 citation errors · 0 not checkable

Statistics

Figures

Fig. 1 Search flow summary
Fig. 1 Search flow summaryCC-BY-NC-ND · From the PDF
Fig. 2 Outline of the studies included in the meta-analysis ( n = 26). Note All reviewed publications in this figure are included in the reference list
Fig. 2 Outline of the studies included in the meta-analysis ( n = 26). Note All reviewed publications in this figure are included in the reference listCC-BY-NC-ND · From the PDF
Fig. 3 Frequency of studies from those included in the meta-analysis ( n = 26) that incorporated a particular category of intervention component
Fig. 3 Frequency of studies from those included in the meta-analysis ( n = 26) that incorporated a particular category of intervention componentCC-BY-NC-ND · From the PDF
Fig. 4 Overall treatment effect on the clusters of measured outcomes. Note We excluded the outlier (the study by Kalmpourtzis, 2019) because its unusually huge effect size of g = 3.32 would likely bias the overall ES (Lipsey & Wilson, 2001)
Fig. 4 Overall treatment effect on the clusters of measured outcomes. Note We excluded the outlier (the study by Kalmpourtzis, 2019) because its unusually huge effect size of g = 3.32 would likely bias the overall ES (Lipsey & Wilson, 2001)CC-BY-NC-ND · From the PDF
Fig. 5 Funnel plots illustrating the assessment of publication bias in the meta-analysis
Fig. 5 Funnel plots illustrating the assessment of publication bias in the meta-analysisCC-BY-NC-ND · From the PDF

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Citations

Cites

Show all 125 references

Research works printed but not linked: 11

  1. Bevan, D., Williams, A. M., & Capraro, M. M. (2019). Strike a pose: The impact of problem-posing on elementary students’ mathematical attitudes and achievement. In N. Jarmila & M. Hana (Eds.), International symposium elementary mathematics teaching (pp. 80–88). Prague.
  2. Bicer, A. (2021). A systematic literature review: Discipline-specific and general instructional practices fostering the mathematical creativity of students. International Journal of Education in Mathematics, Science and Technology, 9(2), 252–281. https://doi.org/10.46328/i-jemst.1254 · doi:10.46328/i-jemst.1254
  3. Brown, S. I., & Walter, M. I. (1993). Problem posing in mathematics education. In S. I. Brown & M. I. Walter (Eds.), Problem posing: Reflections and application (pp. 16–27). Erlbaum.
  4. Chinese Ministry of Education. (2022). Quanrizhi yiwu jiaoyu shuxue kecheng biaozhun [Mathematics Curriculum Standard of compulsory education (2022 version)]. People’s Education Press.
  5. Crespo, S., & Sinclair, N. (2008). What makes a problem mathematically interesting? Inviting prospective teachers to pose better problems. Journal of Mathematics Teacher Education, 11(5), 395–415. https://doi.org/10.1023/A:1024364304664 · DOI · Paper page
  6. Hawkins, D. (2000). The roots of literacy. University Press of Colorado.
  7. Ministry of Education of Italy. (2007). Indicazioni per il curriculo. Ministero della Pubblica Istruzione.
  8. National Council of Teachers of Mathematics (NCTM). (2000). Principles and standards for school mathematics. Author.
  9. Priest, D. J. (2009). A problem-posing intervention in the development of problem-solving competence of underachieving, middle-year students (Ph.D. thesis , Queensland University of Technology). https://eprints.qut.edu.au/31740/
  10. Stoyanova, E., & Ellerton, N. F. (1996). A framework for research into students’ problem posing in school mathematics. In P. Clarkson (Ed.), Technology in Mathematics Education (pp. 518–525). Mathematics Education Research Group of Australasia.
  11. Zheng, L., Bhagat, K. K., Zhen, Y., & Zhang, X. (2020). The effectiveness of the flipped classroom on students’ learning achievement and learning motivation. Journal of Educational Technology & Society, 23(1), 1–15.

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Metadata

Authors
Zhang, L., Stylianides, G. J., & Stylianides, A. J.
Affiliations
  • Southwest University (CN)
  • University of Oxford (GB)
  • University of Cambridge (GB)
Corresponding author
Zhang, Ling
Venue
International Journal of STEM Education
Published
2024-09-28
Volume
11
Issue
1
ISSN
2196-7822 (ISSN-L)
OpenAlex
W4402943496
Cited by
51
References
125
Citations by year
2026: 31 · 2025: 19 · 2024: 1
FWCI
2.35
Type
journal article
Language
en
Open access
Licence
Locations
  • International Journal of STEM Education (publishedVersion, cc-by-nc-nd)
  • Oxford University Research Archive (ORA) (University of Oxford) (submittedVersion, other-oa)
  • Apollo (University of Cambridge) (submittedVersion, cc-by)
  • Apollo (University of Cambridge) (submittedVersion, cc-by-nc-nd)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
  • Apollo (cc-by)
Funders
Chongqing Postdoctoral Fellowship (2020379)
Topics
  • Social Sciences › Education › Mathematics Education and Pedagogy
  • Social Sciences › Education › Mathematics Education and Teaching Techniques
  • Social Sciences › Education › Mathematics Education and Programs
Keywords
mathematical problem posing, mathematics education intervention, intervention components, intervention effectiveness

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CoChat. (2026). Citation check: Enhancing mathematical problem posing competence: a meta-analysis of intervention studies. https://app.cochat.ai/papers/10.1186/s40594-024-00507-1
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Zhang, L., Stylianides, G. J., & Stylianides, A. J. (2024). Enhancing mathematical problem posing competence: a meta-analysis of intervention studies. International Journal of STEM Education. https://doi.org/10.1186/s40594-024-00507-1

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