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The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index; none of the 34 sources its claims cite is checked for support yet.

The Impacts of Problem‐Posing Intervention on the Mathematical Proficiency of Undergraduate Developmental Mathematics Students' Developmental Mathematics

Open access
Sevier, John, Fernandes, Anthony, Cifarelli, Victor·2026·School Science and Mathematics

Abstract

This study investigates the impact of problem‐posing on the mathematical proficiency and engagement of 56 Developmental Mathematics (DM) students enrolled in a noncredit college mathematics course. Using a quasi‐experimental design, one of two existing classes was selected as the experimental group and received a 5‐week intervention focused on problem‐posing with word problems. The other class served as the control group, receiving the same instruction but without engaging in problem‐posing. Both the experimental group of 25 participants and the control group showed significant improvement on the posttest compared to the pretest in mathematical proficiency, with the experimental group demonstrating more pronounced growth. Further analysis, which divided students into three subgroups based on pretest scores, revealed that students in the lower two subgroups of the experimental group significantly outperformed all other groups on the posttest. A qualitative analysis identified potential reasons for the growth in these subgroups. Students in the experimental group built confidence by first mimicking previous problems and verifying their calculations. They also personalized their problem‐posing experiences, which contributed to increased engagement, persistence, and deeper understanding of the material, ultimately enhancing their mathematical proficiency. The study demonstrates that DM students are both capable of and willing to engage in problem‐posing.

Overview

CoChat Summary

TL;DR

A 5-week problem-posing intervention in a developmental mathematics course was associated with greater percentage growth in mathematical proficiency than control, but overall posttest differences were not significant. Qualitative themes of mimicking, making numbers work, and personalization help explain engagement and growth, especially in lower- and middle-performing experimental subgroups.

Key findings

  • The experimental group showed more growth (35.29 points; 63.01%) than the control group (21.98 points; 53.53%), though the control group outperformed the experimental group on both pretest and posttest.
  • Pretest scores differed significantly between experimental (M = 44, SD = 12.44) and control (M = 58.78, SD = 16.56) groups, t(54) = 3.698, p = 0.000; posttest scores did not differ significantly, t(54) = 0.385, p = 0.702.
  • Within-group gains were significant for the experimental group (44 to 79.29; t = 6.836, df = 48, p = 2.36E-13) and control group (58.78 to 80.76; t = 5.286, df = 60, p = 1.84E-6).
  • Subgroup analysis showed the largest changes for middle experimental (44.10 to 82.14; change 38.05), low experimental (33.33 to 75.71; change 42.38), and low control (43.18 to 79.55; change 36.36); the high control subgroup did not improve significantly (82.29 to 88.84; t = 1.049, df = 11, p = 0.3168094).
  • Qualitative analysis identified three themes: mimicking, making the numbers work, and personalization; 17 of 18 lower/middle experimental students initially mimicked problems, 15 of 18 used the same or slightly changed numbers, and 14 preferred flexibility in semi-structured and free problem-posing.

Methods

  • Quasi-experimental, two-group pretest-posttest design with 56 developmental mathematics students at a public university in the Southeastern United States; 25 experimental and 31 control participants completed both pretest and posttest.
  • The experimental group received a 5-week problem-posing intervention with word problems, scaffolded through structured, semi-structured, free, and free-plus levels; the control group received the same instruction without problem-posing.
  • Quantitative analysis used means, standard deviations, percent growth, independent-samples t-tests, and low/middle/high pretest subgroups; qualitative analysis used six volunteer interviews (30–60 min), student written work, observation journals, and a coding matrix for personalized, mimicked, and non-mimicked problems.

Limitations

  • The paper states that small sample sizes limit generalizability and that validity and reliability for the pretest/posttest instrument were not formally established; future iterations require stronger validity and reliability measures for tests and coding.
  • The paper acknowledges the quasi-experimental design and cross-referencing of qualitative and quantitative data could prematurely assert impact; the first author taught both groups, devoted more time to the intervention course, and may have introduced bias or contextual factors.
  • The paper notes the intervention occurred in the last 5 weeks and word problems served as review for both groups, which may explain overall growth and reduce clarity about intervention effects; some students found personalization distracting or unnecessary. Evident from the text: individual students were not randomized, only intact classes were assigned, and subgroup analyses relied on very small numbers.

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Integrity signals

Registry

Crossref · 10.1111/ssm.18361

Cites

30 of 30 references verified0 citation errors · 0 not checkable

Statistics

Figures

FIGURE 2 Timeline of implementation of quasi-­ experimental study.
FIGURE 2 Timeline of implementation of quasi-­ experimental study.CC-BY-NC-ND · From the PDF
FIGURE 5 Instructions for free plus posing activity and Kevin Response.
FIGURE 5 Instructions for free plus posing activity and Kevin Response.CC-BY-NC-ND · From the PDF

Verification

Claims the paper makes

0 Valid · 0 Not valid · 23 Not checked · 85 Own results and interpretations

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  • Probably not a substantial claim. 38
  • It may state two separate claims as one. 42
  • The quote only partly states this claim. 1

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Statistics recomputed

Every reported test result, recomputed from its test statistic and degrees of freedom. A result shows as not adding up only once an independent check has confirmed it.

  • Not confirmedt(54) = 3.698reported p = 0 · recomputed p < .001

    “t(54) = 3.698, p = .000”

  • Consistentt(54) = 0.385reported p = .702 · recomputed p = .702

    “t(54) = 0.385, p = .702”

2 of 2

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

4 of 4

Citations

Cites

Show all 30 references

Research works printed but not linked: 2

  1. Coltharp J., 2020, Instruction Type, Student Major, and Success in Developmental Mathematics, Journal of Developmental Education, 1, 18
  2. Stoyanova E., 1996, A Framework for Research into Students’ Problem Posing in School Mathematics, Technology in Mathematics Education, 4, 518

Metadata

Authors
Sevier, J., Fernandes, A., & Cifarelli, V.
Affiliations
  • Appalachian State University (US)
  • University of North Carolina at Charlotte (US)
Corresponding author
Sevier, John
Venue
School Science and Mathematics
Publisher
Wiley
Published
2025-05-19
Volume
126
Issue
5
Pages
441-453
ISSN
  • 0036-6803 (ISSN-L)
  • 1949-8594
OpenAlex
W4410510427
Cited by
3
References
30
Citations by year
2026: 2
FWCI
1.61
Type
journal article
Language
en
Open access
Licence
Locations
School Science and Mathematics (publishedVersion, cc-by-nc-nd)
Topics
  • Social Sciences › Education › Mathematics Education and Pedagogy
  • Social Sciences › Education › Mathematics Education and Teaching Techniques
  • Social Sciences › Education › Mathematics Education and Programs
Keywords
problem posing, mathematics proficiency, developmental mathematics, undergraduate students, word problems, student engagement, student persistence, intervention, student self-confidence, personalized learning

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CoChat. (2026). Citation check: The Impacts of Problem‐Posing Intervention on the Mathematical Proficiency of Undergraduate Developmental Mathematics Students' Developmental Mathematics. https://app.cochat.ai/papers/10.1111/ssm.18361
The paper
Sevier, J., Fernandes, A., & Cifarelli, V. (2026). The Impacts of Problem‐Posing Intervention on the Mathematical Proficiency of Undergraduate Developmental Mathematics Students' Developmental Mathematics. School Science and Mathematics. https://doi.org/10.1111/ssm.18361

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.