Causal Factors Influencing the Mathematical Reasoning Ability of Grade 6 Students
Article Number: e2025297 | Published Online: July 2025 | DOI: 10.22521/edupij.2025.17.297
Kamonporn Khontee , Apantee Poonputta
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Abstract
Background/purpose. This study aimed to develop and validate a causal model of factors influencing the mathematical reasoning ability of Grade 6 students in Thailand. Materials/methods. The sample consisted of 530 students selected through multi-stage random sampling. Research instruments included a basic mathematics knowledge test, a mathematical reasoning ability test, and a set of validated scales measuring attitude toward mathematics, achievement motivation, mathematical self-efficacy, and learning behavior. Data were analyzed using descriptive statistics, confirmatory factor analysis (CFA), and structural equation modeling (SEM). Results. The findings showed that prior knowledge in mathematics, learning behavior, achievement motivation, and attitude toward mathematics had significant direct effects on mathematical reasoning ability. Mathematical self-efficacy indirectly influenced reasoning through achievement motivation. The model demonstrated strong goodness-of-fit with the empirical data. |
Conclusion. The results contribute to the understanding of reasoning ability as a distinct construct and emphasize the importance of cognitive, affective, and behavioral factors in mathematics education at the primary level in Thailand. Implications for curriculum design, classroom practice, and educational policy are discussed.
Keywords: Mathematical reasoning ability, causal model, structural equation modeling, primary education, Math
ReferencesAmaliya, F. N., Subanji, S., & Faizah, S. (2024). The Challenges and Strategies in Solving Mathematic Word Problems in the terms of Mathematical Reasoning Ability. The Eurasia Proceedings of Educational and Social Sciences, 39, 55–70. https://doi.org/10.55549/epess.872.
Borovik, A., Kocsis, Z., & Kondratiev, V. (2022). Mathematics and Mathematics Education in the 21st Century (No. arXiv:2201.08364). arXiv. https://doi.org/10.48550/arXiv.2201.08364.
Byrne, B. M. (1994). Structural equation modeling with EQS and EQS/Windows. Sage Publications.
De León, S. C., Jiménez, J. E., & Hernández-Cabrera, J. A. (2022). Confirmatory factor analysis of the indicators of basic early math skills. Current Psychology, 41, 585–596. https://doi.org/10.1007/s12144-019-00596-0.
Damrongpanit, S. (2012). Mplus Program for Data Analysis in Behavioral and Social Sciences. Mahasarakham University Press.
Hartati, S. J., Vitianingsih, A. V., Kurniati, N., Sulistyowati, S., & Muhajir, M. (2020). Identifying the Factor of Mathematical Reasoning That Affects the Ability to Programming Algorithm. International Education Studies, 13(5), 44-56. https://doi.org/10.5539/ies.v13n5p44
Herbert, S. (2021). Overcoming Challenges in Assessing Mathematical Reasoning. Australian Journal of Teacher Education, 46(8), 17–30. http://dx.doi.org/10.14221/ajte.2021v46n8.2
Hjelte, A., Schindler, M., & Nilsson, P. (2020). Kinds of Mathematical Reasoning Addressed in Empirical Research in Mathematics Education: A Systematic Review. Education Sciences, 10(10), 289. https://doi.org/10.3390/educsci10100289.
Hossein-Mohand, H., & Hossein-Mohand, H. (2022). Influence of motivation on the perception of mathematics by secondary school students. Frontiers in Psychology, 13, 1111600. https://doi.org/10.3389/fpsyg.2022.1111600.
Hs, A. M., Wiryanto, W., & Mariana, N. (2023). Systematics Literature Review: Mathematics Reasoning in Elementary School. Jurnal Pamator : Jurnal Ilmiah Universitas Trunojoyo, 16(4), 758-771. https://doi.org/10.21107/pamator.v16i4.22626.
Ismail, R., Retnawati, H., Sugiman, S., & Imawan, O. R. (2024). Construct validity of mathematics high order thinking skills instrument with cultural context: Confirmatory factor analysis. AIP Conference Proceedings, 3150(1), 080008. https://doi.org/10.1063/5.0228143.
Jabri, A. A., Gangadharan, S., & Bendanillo, G. (2022). Mathematics Education among Higher Education Students: Analysis using Structural Equation Modelling and Confirmatory Factor Analysis. International Journal of Research in Entrepreneurship & Business Studies, 3(4), 19-32. https://doi.org/10.47259/ijrebs.342.
Kline, R. B. (2011). Principles and Practice of Structural Equation Modeling. Guilford Press, New York.
Mansi, K. E. (2003). Reasoning and Geometric Proof in Mathematics Education: A Review of the Literature [Master thesis, North Carolina State University]. http://www.lib.ncsu.edu/resolver/1840.16/2692
Marasabessy, R. (2021). Study of Mathematical Reasoning Ability for Mathematics Learning in Schools: A Literature Review. Indonesian Journal of Teaching in Science, 1(2), 79–90. https://doi.org/DOI:10.17509/ijotis.v1i2.37950.
Montague, M. (2007). Self-regulation and mathematics instruction. Learning Disabilities Research & Practice, 22(1), 75–83. https://doi.org/10.1111/j.1540-5826.2007.00232.x.
NCTM. (2014). Principles to Actions: Ensuring Mathematical Success for All. National Council of Teachers of Mathematics (NCTM).
Negara, H. R. P., Santosa, F. H., & Siagian, M. D. (2024). Overview of Student’s Mathematics Reasoning Ability Based on Social Cognitive Learning and Mathematical Self-efficacy. Mathematics Teaching Research Journal, 16(1), 121–142. https://files.eric.ed.gov/fulltext/EJ1427397.pdf
OECD. (2019). PISA 2018 Assessment and Analytical Framework. OECD Publishing. https://www.oecd.org/en/publications/pisa-2018-assessment-and-analytical-framework_b25efab8-en.html.
OECD. (2022). Thailand Student performance (PISA 2022). https://gpseducation.oecd.org/CountryProfile?primaryCountry=THA&treshold=10&topic=PI
Pantziara, M., & Philippou, G. N. (2015). Students’ Motivation in the Mathematics Classroom. Revealing Causes and Consequences. International Journal of Science and Mathematics Education, 13(2), 385–411. https://doi.org/10.1007/s10763-013-9502-0
Saadati, F., & Celis, S. (2023). Student motivation in learning mathematics in technical and vocational higher education: Development of an instrument. International Journal of Education in Mathematics, Science, and Technology (IJEMST), 11(1), 156-178. https://doi.org/10.46328/ijemst.2194.
Sahrin, S., & Muhammad, N. (2024). Confirmatory factor analysis (CFA) of students’ interest based on mathematics content domain. AIP Conference Proceedings, 3123(1), 020014. https://doi.org/10.1063/5.0224026.
Sari, Y. M., Retnawati, H., & Fiangga, S. (2022). The construct validity of mathematical reasoning and proof test instrument integrated with GeoGebra: Second-order confirmatory factor analysis. Beta: Jurnal Tadris Matematika, 15(2), 104–117. https://doi.org/10.20414/betajtm.v15i2.549.
Seah, W. T., Kim, H., & Kim, D.-J. (2021). Reimagining Mathematics Education for the 21st Century in the 21st Century. 수학교육학연구, 31(3), 393–404. https://doi.org/10.29275/jerm.2021.31.3.393 .
Seepiwsiw, K., & Seehamongkon, Y. (2023). The Development of Mathematical Problem-Solving and Reasoning Abilities of Sixth Graders by Organizing Learning Activities Using Open Approach. Journal of Education and Learning, 12(4) 43-49. https://doi.org/10.5539/jel.v12n4p42.
Sholihah, U., & Listanti, A. (2022). Analyzing students’ mathematical reasoning from the perspective of learning interest. Beta: Jurnal Tadris Matematika, 15(2), 157-166. https://doi.org/10.20414/betajtm.v15i2.535.
Sundstrom, T. A. (2003). Mathematical Reasoning: Writing and Proof. Prentice Hall.
Tee, K. N., Leong, K. E., & Abdul Rahim, S. S. (2018). The Mediating Effects of Critical Thinking Skills on Motivation Factors for Mathematical Reasoning Ability. The Asia-Pacific Education Researcher, 27(5), 373–382. https://doi.org/10.1007/s40299-018-0396-z
The Ministry of Education. (2008). The basic education core curriculum. The Ministry of Education.
Thongphat, N. (2012). A Survey of Thai Student Performance in Mathematics and English: Evaluating the Effect of Supplementary Tutoring. Procedia Economics and Finance, 2, 353–362. https://doi.org/10.1016/S2212-5671(12)00097-4.
Tiengyoo, K., Sotaro, S., & Thaithae, S. (2024). Exploring factors influencing 21st century mathematics in Thai secondary schools: A study in Lopburi Province. Pedagogical Research, 9(3), em0217. https://doi.org/10.29333/pr/14731.
Udommontree, T. (2012). A study of some factors affecting mathematical reasoning abilities of Mathayomsuksa I students at Lopburi in Secondary Educational Survice Area Office V. Master thesis, M.Ed. Graduate School, Srinakharinwirot University. http://thesis.swu.ac.th/swuthesis/Ed_Re_Sta/Thitima_U.pdf.
Unicef. (2014). Educational Challenges in Thailand. https://www.unicef.org/thailand/what-we-do/education#:~:text=The%20quality%20of%20education%20is,science%20and%2057th%20in%20mathematics.
Wiratchai, N. (1999). LISREL model: Analytical statistics for research (3rd ed.). Chulalongkorn University Printing House.