Predicting the influencing factors of secondary school students’ behavioral intention of mathematical problem-solving reflection by structural equation model

Abstract Problem-solving reflection constitutes a crucial component of mathematical problem-solving, yet it has been underexplored in academic literature and educational practice. To identify the factors influencing students’ behavioral intention toward problem-solving reflection, this study developed a behavioral intention model based on the Theory of Planned Behavior. It administered a questionnaire to examine these influencing factors. The valid study sample comprised 479 secondary school students from central and western China, specifically spanning six consecutive grade levels from junior high school first year to senior high school third year in Hunan Province and Guangxi Zhuang Autonomous Region. Results demonstrated that the modified behavioral intention model for mathematical problem-solving reflection exhibited strong reliability, validity, model fit, robustness, and predictive power. In mathematical learning, problem-solving reflection knowledge, problem-solving habits, and subjective norms showed significant positive direct effects on behavioral intention toward problem-solving reflection, whereas problem-solving reflection attitude and self-efficacy demonstrated no statistically significant effects. These findings offer novel insights for related research, and the proposed model provides actionable guidance for educational administrators, schools, and mathematics teachers to identify, predict, and enhance students’ mathematical problem-solving literacy.

Authors

Institutions

Publication Details

Journal
Humanities and Social Sciences Communications
Published
2025-12-09
DOI
https://doi.org/10.1057/s41599-025-06174-z
Primary Topic
Problem Solving Skills Development
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Predicting the influencing factors of secondary school students’ behavioral intention of mathematical problem-solving reflection by structural equation model

Peijie Jiang, Xiaomeng Ruan, Jiaying Zhang, Rong Xu et al.
Humanities and Social Sciences Communications
Problem Solving Skills Development
article

Predicting the influencing factors of secondary school students’ behavioral intention of mathematical problem-solving reflection by structural equation model

Peijie Jiang, Xiaomeng Ruan, Jiaying Zhang, Rong Xu, Wenqian Lin
article en

Abstract

Abstract Problem-solving reflection constitutes a crucial component of mathematical problem-solving, yet it has been underexplored in academic literature and educational practice. To identify the factors influencing students’ behavioral intention toward problem-solving reflection, this study developed a behavioral intention model based on the Theory of Planned Behavior. It administered a questionnaire to examine these influencing factors. The valid study sample comprised 479 secondary school students from central and western China, specifically spanning six consecutive grade levels from junior high school first year to senior high school third year in Hunan Province and Guangxi Zhuang Autonomous Region. Results demonstrated that the modified behavioral intention model for mathematical problem-solving reflection exhibited strong reliability, validity, model fit, robustness, and predictive power. In mathematical learning, problem-solving reflection knowledge, problem-solving habits, and subjective norms showed significant positive direct effects on behavioral intention toward problem-solving reflection, whereas problem-solving reflection attitude and self-efficacy demonstrated no statistically significant effects. These findings offer novel insights for related research, and the proposed model provides actionable guidance for educational administrators, schools, and mathematics teachers to identify, predict, and enhance students’ mathematical problem-solving literacy.

Humanities and Social Sciences CommunicationsVol. 12(1)
Hunan Normal University (CN), Changsha Normal University (CN)
Education Department of Hunan Province, Hunan Normal University
Openalex Percentile: Top 51%
Problem Solving Skills Development
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.