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

Bibliographic Data

ID22235484
AuthorsPeijie Jiang (0000-0002-0534-6989, Hunan Normal University, corresponding author), Wenqian Lin (0000-0002-3480-3229, Hunan Normal University), Xiaomeng Ruan (Hunan Normal University), Jiaying Zhang (0009-0008-8122-2604, Hunan Normal University), Rong Xu (0000-0001-5651-4738, Hunan Normal University)
Year2025
Volume12
Issue1
Publication date2025-12-09
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueHumanities and Social Sciences Communications (JOURNAL)
Journal identifiersISSN: 2662-9992 • E-ISSN: 2662-9992
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1057/s41599-025-06174-z
OpenAlexW4417154441
LanguageEN
References cited44

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

Explanatory model · Structural equation modeling · Theory of planned behavior · Mathematics Education and Pedagogy · Mathematics Education and Teaching Techniques · Problem Solving Skills Development

  • How to Solve It

    George Pólya, John Horton Conway•How to Solve It•1945

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    Open Access•Joseph F Hair, G Tomas M Hult et al.•Partial Least Squares Structural…•2021

  • Vision, challenges, roles and research issues of Artificial Intelligence in Education

    Open Access•Gwo-Jen Hwang, Haoran Xie et al.•Computers and Education:…•2020

  • Learning to Think Mathematically

    Open Access•Alan H Schoenfeld•Journal of Education•2016

  • How and what teachers learn

    Open Access•Lee S Shulman, Judith H Shulman•Journal of Curriculum Studies•2004

  • Prospective prediction of health-related behaviours with the Theory of Planned Behaviour

    Rosemary Robin Charlotte McEachan, Mycah Conner et al.•Health Psychology Review•2011

  • The changes we need

    Open Access•Yong Zhao, Jim Watterston•Journal of Educational Change•2021

  • Using PLS Path Modeling for Assessing Hierarchical Construct Models

    Martin Wetzels, Odekerken-Schröder Odekerken-Schröder et al.•MIS Quarterly•2009

  • An assessment of the use of partial least squares structural equation modeling in marketing research

    Open Access•Joe F Hair, Marko Sarstedt et al.•Journal of the Academy of…•2012

  • From Intentions to Actions

    Icek Ajzen•Action Control•1985

  • The theory of planned behavior

    Open Access•Icek Ajzen•Organizational Behavior and Human…•1991

  • A new criterion for assessing discriminant validity in variance-based structural equation modeling

    Open Access•Jörg Henseler, Christian M Ringle et al.•Journal of the Academy of…•2015

  • When to use and how to report the results of PLS-SEM

    Open Access•Joseph F Hair, Jeffrey J Risher et al.•European Business Review•2019

  • Emotion Regulation

    James J Gro, James J Gross•Psychological Inquiry•2015

  • Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology

    Fred D Davis•MIS Quarterly•1989

  • Using PLS-SEM Model to Explore the Influencing Factors of Learning Satisfaction in Blended Learning

    Open Access•Chun-Hsiung Huang•Education Sciences•2021

  • CB-SEM vs PLS-SEM methods for research in social sciences and technology forecasting

    Open Access•Ganesh Dash, Justin Paul•Technological Forecasting and…•2021

  • The theory of planned behavior

    Open Access•Icek Ajzen•Human Behavior and Emerging…•2020

  • Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being

    Richard M Ryan, Edward L Deci•American Psychologist•2000

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