Exploring the Influence of Learning Styles on the Development of Critical Thinking Skills in Mathematics
DOI:
https://doi.org/10.64268/jtse.v1i1.8Keywords:
Critical Thinking, Learning Styles, Mathematics Education, Differentiated InstructionAbstract
Background: Critical thinking in mathematics is a vital skill for solving complex problems. However, students' ability to think critically in mathematics varies according to their learning styles. This study investigates how auditory, visual, and kinesthetic learning styles influence students' critical thinking abilities in mathematical contexts.
Aims: The goal of this research is to explore how different learning styles affect the development of critical thinking skills in mathematics and to determine how these styles influence students' performance in tasks requiring mathematical reasoning.
Methods: A descriptive qualitative research design was used. The participants were middle school students selected using purposive sampling. Data collection involved critical thinking tests, learning style surveys, and interviews. The collected data were analyzed through presentation, reduction, and conclusion drawing, with triangulation employed to ensure data reliability.
Results: The results revealed that students with visual learning styles showed the highest level of mathematical critical thinking, particularly in evaluation, analysis, interpretation, and inference. Auditory learners performed reasonably well in evaluation and analysis but faced challenges with interpretation. Kinesthetic learners demonstrated potential but required further improvement in analysis and evaluation.
Conclusion: The study concluded that learning styles have a significant impact on the development of mathematical critical thinking skills. Visual learners performed the best, while auditory and kinesthetic learners exhibited potential but need additional support to enhance their abilities in critical thinking tasks. The findings highlight the importance of incorporating diverse teaching strategies that cater to various learning styles.
References
Afni, N., & Hartono. (2020). Contextual teaching and learning (CTL) as a strategy to improve students mathematical literacy. Journal of Physics: Conference Series, 1581(1). https://doi.org/10.1088/1742-6596/1581/1/012043
Alasadi, E. A., & Baiz, C. R. (2023). Generative AI in Education and Research: Opportunities, Concerns, and Solutions. Journal of Chemical Education, 100(8), 2965–2971. https://doi.org/10.1021/acs.jchemed.3c00323
Al-Barakat, A. A., El-Mneizel, A. F., Al-Qatawneh, S. S., AlAli, R. M., Aboud, Y. Z., & Ibrahim, N. A. H. (2025). Investigating the Role of Digital Game Applications in Enhancing Mathematical Thinking Skills in Primary School Mathematics Students. Decision Making: Applications in Management and Engineering, 8(1), 132–146. Scopus. https://doi.org/10.31181/dmame8120251301
Alibraheim, E. A. (2025). Teachers’ perceptions: What happened after more than 10 years of developing the mathematics textbook. Eurasia Journal of Mathematics, Science and Technology Education, 21(2). Scopus. https://doi.org/10.29333/ejmste/15914
Allen, D. E., Donham, R. S., & Bernhardt, S. A. (2011). Problem-Based Learning. New Directions for Teaching and Learning, 128. https://doi.org/10.1002/tl.456
Ayob, H. H., & Hamada, T. I. (2024). Teaching mathematics in an EFL context at higher education; before, during and after the COVID-19 pandemic: A comparative study. Journal of Applied Research in Higher Education, 16(5), 2262–2272. Scopus. https://doi.org/10.1108/JARHE-05-2023-0186
Beck, D., Morgado, L., & O’Shea, P. (2024). Educational Practices and Strategies With Immersive Learning Environments: Mapping of Reviews for Using the Metaverse. IEEE Transactions on Learning Technologies, 17, 319–341. https://doi.org/10.1109/TLT.2023.3243946
Bellaera, L., Weinstein-Jones, Y., Ilie, S., & Baker, S. T. (2021). Critical thinking in practice: The priorities and practices of instructors teaching in higher education. Thinking Skills and Creativity, 41, 100856. https://doi.org/10.1016/j.tsc.2021.100856
Bhardwaj, V., Zhang, S., Tan, Y. Q., & Pandey, V. (2025). Redefining learning: Student-centered strategies for academic and personal growth. Frontiers in Education, 10, 1518602. https://doi.org/10.3389/feduc.2025.1518602
Brennner, M. E. (1994). A communication Framework for Mathematics. In Language and learning: Educating linguistically diverse students. State University of New York Press.
Calma, A., & and Davies, M. (2021). Critical thinking in business education: Current outlook and future prospects. Studies in Higher Education, 46(11), 2279–2295. https://doi.org/10.1080/03075079.2020.1716324
Castro-Alonso, J. C., de Koning, B. B., Fiorella, L., & Paas, F. (2021). Five Strategies for Optimizing Instructional Materials: Instructor- and Learner-Managed Cognitive Load. Educational Psychology Review, 33(4), 1379–1407. https://doi.org/10.1007/s10648-021-09606-9
Charalambous, C. Y., Praetorius, A.-K., Sammons, P., Walkowiak, T., Jentsch, A., & Kyriakides, L. (2021). Working more collaboratively to better understand teaching and its quality: Challenges faced and possible solutions. Studies in Educational Evaluation, 71, 101092. https://doi.org/10.1016/j.stueduc.2021.101092
Chui, T. K. S., Molesworth ,Brett R. C., & and Bromfield, M. A. (2021). Feedback and Student Learning: Matching Learning and Teaching Style to Improve Student Pilot Performance. The International Journal of Aerospace Psychology, 31(2), 71–86. https://doi.org/10.1080/24721840.2020.1847650
Cope, B., Kalantzis ,Mary, & and Searsmith, D. (2021). Artificial intelligence for education: Knowledge and its assessment in AI-enabled learning ecologies. Educational Philosophy and Theory, 53(12), 1229–1245. https://doi.org/10.1080/00131857.2020.1728732
Cox, J. (2021). The higher education environment driving academic library strategy: A political, economic, social and technological (PEST) analysis. The Journal of Academic Librarianship, 47(1), 102219. https://doi.org/10.1016/j.acalib.2020.102219
Cruz, G., Payan-Carreira ,Rita, Dominguez ,Caroline, Silva ,Helena, & and Morais, F. (2021). What critical thinking skills and dispositions do new graduates need for professional life? Views from Portuguese employers in different fields. Higher Education Research & Development, 40(4), 721–737. https://doi.org/10.1080/07294360.2020.1785401
Demirkaya, O., Frey, S., Sharairi, S., & Kim, J. P. (2025). Latent Profile Analysis: Comparison of Achievement versus Ability-Derived Subgroups of Mathematical Skills. International Electronic Journal of Elementary Education, 17(2), 289–304. Scopus. https://doi.org/10.26822/iejee.2025.379
Dimmock, C., Tan, C. Y., Nguyen, D., Tran, T. A., & Dinh, T. T. (2021). Implementing education system reform: Local adaptation in school reform of teaching and learning. International Journal of Educational Development, 80, 102302. https://doi.org/10.1016/j.ijedudev.2020.102302
Druken, B., & Marzocchi, A. (2024). Co-teaching Strategies in Action: Selection and Implementation in a Mathematics Course for Pre-service Teachers. Mathematics Teacher Education and Development, 26(2). Scopus.
Egara, F. O., & Mosimege, M. (2024). Exploring the Integration of Artificial Intelligence-Based ChatGPT into Mathematics Instruction: Perceptions, Challenges, and Implications for Educators. Education Sciences, 14(7). Scopus. https://doi.org/10.3390/educsci14070742
Emylia, M. M., & Setyaningsih, N. (2025). Student’s Mathematical Literacy in Solving Arithmetic Sequence and Series Problems Reviewed from Learning Style. 3142(1). Scopus. https://doi.org/10.1063/5.0262128
Ewing, B. (2011). Direct instruction in mathematics: Issues for schools with high indigenous enrolments: A literature review. Australian Journal of Teacher Education, 36(5), 64–91. https://doi.org/10.14221/ajte.2011v36n12.8
Eysenbach, G. (2023). The Role of ChatGPT, Generative Language Models, and Artificial Intelligence in Medical Education: A Conversation With ChatGPT and a Call for Papers. JMIR Medical Education, 9(1), e46885. https://doi.org/10.2196/46885
Fallon, E., Bargary, N., Quinn, F., Leavy, A., & Hannigan, A. (2024). Words and numbers: A comparative study of medical and journalism students’ descriptors of risk, numeracy and preferences for health risk communication. BMC Medical Education, 24(1). Scopus. https://doi.org/10.1186/s12909-024-05048-3
Fariani, R. I., Junus, K., & Santoso, H. B. (2023). A Systematic Literature Review on Personalised Learning in the Higher Education Context. Technology, Knowledge and Learning, 28(2), 449–476. https://doi.org/10.1007/s10758-022-09628-4
Feng, T. (2024). The impact of cloud technology and the MatLab app on the academic performance and cognitive load of further mathematics students. Education and Information Technologies, 29(11), 13577–13593. Scopus. https://doi.org/10.1007/s10639-023-12386-0
García-Pérez, L., García-Garnica, M., & Olmedo-Moreno, E. M. (2021). Skills for a Working Future: How to Bring about Professional Success from the Educational Setting. Education Sciences, 11(1), Article 1. https://doi.org/10.3390/educsci11010027
Hallarte, D. K., Camaongay, Q. M., Congson, J., Cuamag, S., Datosme, J., Laude, V. K. B., Milano, M. L., Gonzales, R., & Gonzales, G. (2024). Modeling self-regulation in learning mathematics through teacher-promoting interaction and parental support among STEM learners: The mediating role of intrinsic motivation. Social Sciences and Humanities Open, 10. Scopus. https://doi.org/10.1016/j.ssaho.2024.101135
Hansen, E. K. S. (2022). Students’ agency, creative reasoning, and collaboration in mathematical problem solving. Mathematics Education Research Journal, 34(4), 813–834. https://doi.org/10.1007/s13394-021-00365-y
Henry J., J. N., Grimaldo, Q. S., Rodriguez Cangalaya, N., & Miriam Z., E. V. (2024). The Creation of Mnemonics in the Virtual Teaching of Mathematics to Engineering Students. Proceedings of the 2024 IEEE 4th International Conference on Advanced Learning Technologies for Education and Research, ICALTER 2024. Scopus. https://doi.org/10.1109/ICALTER65499.2024.10819222
Indrašienė, V., Jegelevičienė, V., Merfeldaitė, O., Penkauskienė, D., Pivorienė, J., Railienė, A., Sadauskas, J., & Valavičienė, N. (2021). Linking Critical Thinking and Knowledge Management: A Conceptual Analysis. Sustainability, 13(3), Article 3. https://doi.org/10.3390/su13031476
Just, J., & Siller, H.-S. (2022). The Role of Mathematics in STEM Secondary Classrooms: A Systematic Literature Review. Education Sciences, 12(9), Article 9. https://doi.org/10.3390/educsci12090629
Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., Krusche, S., Kutyniok, G., Michaeli, T., Nerdel, C., Pfeffer, J., Poquet, O., Sailer, M., Schmidt, A., Seidel, T., … Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 102274. https://doi.org/10.1016/j.lindif.2023.102274
Khan, N., Sarwar, A., Chen, T. B., & Khan, S. (2022). Connecting Digital Literacy in Higher Education to the 21st Century Workforce. Knowledge Management & E-Learning, 14(1), 46–61.
Kizilaslan, A., Zorluoglu ,S. Levent, & and Sozbilir, M. (2021). Improve learning with hands-on classroom activities: Science instruction for students with visual impairments. European Journal of Special Needs Education, 36(3), 371–392. https://doi.org/10.1080/08856257.2020.1732110
Kohen, Z., & Orenstein, D. (2021). Mathematical modeling of tech-related real-world problems for secondary school-level mathematics. Educational Studies in Mathematics, 107(1), 71–91. https://doi.org/10.1007/s10649-020-10020-1
Krishnamoorthy, R., Prelatha, R., David, T. K., & Manikam, M. K. (2021). The Implementation of Behaviorism, Constructivism and Information Processing Theory in Instructional Design Practice Activities-a Review. International Journal of Education and Pedagogy (IJEAP), 3(2), 37–44.
Kwangmuang, P., Jarutkamolpong, S., Sangboonraung, W., & Daungtod, S. (2021). The development of learning innovation to enhance higher order thinking skills for students in Thailand junior high schools. Heliyon, 7(6). https://doi.org/10.1016/j.heliyon.2021.e07309
Lawrence, M. G., Williams, S., Nanz, P., & Renn, O. (2022). Characteristics, potentials, and challenges of transdisciplinary research. One Earth, 5(1), 44–61. https://doi.org/10.1016/j.oneear.2021.12.010
Li, L. (2024). Reskilling and Upskilling the Future-ready Workforce for Industry 4.0 and Beyond. Information Systems Frontiers, 26(5), 1697–1712. https://doi.org/10.1007/s10796-022-10308-y
Li, R., Cevikbas, M., & Kaiser, G. (2024). Mathematics teachers’ beliefs about their roles in teaching mathematics: Orchestrating scaffolding in cooperative learning. Educational Studies in Mathematics, 117(3), 357–377. Scopus. https://doi.org/10.1007/s10649-024-10359-9
Lin, X.-F., Hwang ,Gwo-Jen, Wang ,Jing, Zhou ,Yue, Li ,Wenyi, Liu ,Jiachun, & and Liang, Z.-M. (2023). Effects of a contextualised reflective mechanism-based augmented reality learning model on students’ scientific inquiry learning performances, behavioural patterns, and higher order thinking. Interactive Learning Environments, 31(10), 6931–6951. https://doi.org/10.1080/10494820.2022.2057546
Lo, L. S. (2023). The CLEAR path: A framework for enhancing information literacy through prompt engineering. The Journal of Academic Librarianship, 49(4), 102720. https://doi.org/10.1016/j.acalib.2023.102720
Matzavela, V., & Alepis, E. (2021). Decision tree learning through a Predictive Model for Student Academic Performance in Intelligent M-Learning environments. Computers and Education: Artificial Intelligence, 2, 100035. https://doi.org/10.1016/j.caeai.2021.100035
Meiriyanti, M., Suhendra, S., & Nurlaelah, E. (2018). Improving mathematical communication ability through problems based learning model. International Conference on Mathematics and Science Education of Universitas Pendidikan Indonesia, 3, 739–744.
Michel-Villarreal, R., Vilalta-Perdomo, E., Salinas-Navarro, D. E., Thierry-Aguilera, R., & Gerardou, F. S. (2023). Challenges and Opportunities of Generative AI for Higher Education as Explained by ChatGPT. Education Sciences, 13(9), Article 9. https://doi.org/10.3390/educsci13090856
Niyazi, X., & Wu, X. (2024). Research on the correlation between teacher classroom questioning types and student thinking development from the perspective of discourse analysis. Instructional Science, 52(6), 997–1019. Scopus. https://doi.org/10.1007/s11251-024-09683-7
Nuari, R. Z., Waluyo, M., Sudarmanto, E., & Noor, A. F. (2025). Analysis of Middle School Students Mathematical Literacy Ability in View of Learning Style. 3142(1). Scopus. https://doi.org/10.1063/5.0262159
Odiri Amatari, V. (2015). The Instructional Process: A Review of Flanders’ Interaction Analysis in a Classroom Setting. International Journal of Secondary Education, 3(5), 43. https://doi.org/10.11648/j.ijsedu.20150305.11
Oppong-Gyebi, E., Bonyah, E., & Clark, L. J. (2022). Constructive instructional teaching and learning approaches and their mathematical classroom teaching practices: A junior high school perspective. Contemporary Mathematics and Science Education, 4(1), ep23002. https://doi.org/10.30935/conmaths/12541
Payadnya, I. P. A. A., Putri, G. A. M. A., Suwija, I. K., Saelee, S., & Jayantika, I. G. A. N. T. (2025). Cultural integration in AI-enhanced mathematics education: Insights from Southeast Asian educators. Journal for Multicultural Education, 19(1), 58–72. Scopus. https://doi.org/10.1108/JME-09-2024-0119
Piquer-Martinez, C., Valverde-Merino, M. I., Gomez-Guzman, M., & Zarzuelo, M. J. (2024). Gender-based differences in gamification and mobile learning. Acta Physiologica, 240(9). Scopus. https://doi.org/10.1111/apha.14206
Plowman, D., Jimenez, D., Tang, S., & Ewing, J. (2024). Professional Development Experiences Designed to Develop Teachers’ Empathy and Engagement with Emergent Bilinguals in Mathematics. International Electronic Journal of Elementary Education, 17(1), 35–50. Scopus. https://doi.org/10.26822/iejee.2024.362
Plummer, K. J., Kebritchi, M., Leary, H. M., & Halverson, D. M. (2022). Enhancing Critical Thinking Skills through Decision-Based Learning. Innovative Higher Education, 47(4), 711–734. https://doi.org/10.1007/s10755-022-09595-9
Pozas, M., Letzel, V., Bost, N., & Reichertz, J. (2022). Confident, positive, but interested? Exploring the role of teachers’ interest in their practice of differentiated instruction. Frontiers in Education, 7. https://doi.org/10.3389/feduc.2022.964341
Pramuditya, B. A. & Masduki. (2025). Exploring the Pre-service Mathematics Teacher’s Algebraic Thinking in Term of Inventory Learning Style: Focus on Functional Thinking. 3142(1). Scopus. https://doi.org/10.1063/5.0262116
Putri, F. M., Juandi, D., & Sohibun, S. (2024). Analysis of Prospective Teachers’ Mathematical Concept Understanding Ability in View of Learning Styles. 3235(1). Scopus. https://doi.org/10.1063/5.0234544
Reeve, J., & and Cheon, S. H. (2021). Autonomy-supportive teaching: Its malleability, benefits, and potential to improve educational practice. Educational Psychologist, 56(1), 54–77. https://doi.org/10.1080/00461520.2020.1862657
Rohm, A. J., Stefl, M., & Ward, N. (2021). Future Proof and Real-World Ready: The Role of Live Project-Based Learning in Students’ Skill Development. Journal of Marketing Education, 43(2), 204–215. https://doi.org/10.1177/02734753211001409
Ruiz-Ledesma, E. F., Chavarría-Báez, L., & Palma-Orozco, R. (2025). Study of variables involved in the academic performance of mathematics in university students. 2025-March, 110–114. Scopus. https://doi.org/10.54808/CICIC2025.01.110
Shorey, S., Chan, V., Rajendran, P., & Ang, E. (2021). Learning styles, preferences and needs of generation Z healthcare students: Scoping review. Nurse Education in Practice, 57, 103247. https://doi.org/10.1016/j.nepr.2021.103247
Shute, V. J., & Rahimi, S. (2021). Stealth assessment of creativity in a physics video game. Computers in Human Behavior, 116, 106647. https://doi.org/10.1016/j.chb.2020.106647
Sibgatullin, I. R., Korzhuev, A. V., Khairullina, E. R., Sadykova, A. R., Baturina, R. V., & Chauzova, V. (2022). A Systematic Review on Algebraic Thinking in Education. EURASIA Journal of Mathematics, Science and Technology Education, 18(1). https://eric.ed.gov/?id=EJ1329599
Simile, O. (2024). ‘Hapa ni wapi? (Where is this?)’: a linguistic and discursive examination of students-teacher dynamics in education. Cogent Education, 11(1). Scopus. https://doi.org/10.1080/2331186X.2024.2354140
Smith, K., Maynard, N., Berry, A., Stephenson, T., Spiteri, T., Corrigan, D., Mansfield, J., Ellerton, P., & Smith, T. (2022). Principles of Problem-Based Learning (PBL) in STEM Education: Using Expert Wisdom and Research to Frame Educational Practice. Education Sciences, 12(10), Article 10. https://doi.org/10.3390/educsci12100728
Spaska, A. M., Savishchenko, V. M., Komar, O. A., ?ritchenko, T. Y., & Maidanyk, O. V. (2021). Enhancing Analytical Thinking in Tertiary Students Using Debates. European Journal of Educational Research, 10(2), 879–889.
Tetzlaff, L., Schmiedek, F., & Brod, G. (2021). Developing Personalized Education: A Dynamic Framework. Educational Psychology Review, 33(3), 863–882. https://doi.org/10.1007/s10648-020-09570-w
Türkoğlu, H., & Yalçınalp, S. (2024). Investigating problem-solving behaviours of university students through an eye-tracking system using GeoGebra in geometry: A case study. Education and Information Technologies, 29(12), 15761–15791. Scopus. https://doi.org/10.1007/s10639-024-12452-1
Umar, Ibnusaputra, M., Kadir, A., Firdaus, A. Y., Hendra, Retnoningsih, & Jayanti, M. I. (2025). Impact of Implementation the Merdeka Curriculum on the Effectiveness of Children’s Learning Styles: A Review Based on Gender and Subject. Educational Process: International Journal, 14. Scopus. https://doi.org/10.22521/edupij.2025.14.88
Walter, D., Bergmann, A., Maibach, M., Huethorst, L., Reinartz, L., Grünewald, N., Selter, C., & Harrer, A. (2025). How pre-service teachers can be supported to increase their diagnostic skills in mathematics—Design and evaluation of a learning platform for university teacher training. Frontiers in Education, 10. Scopus. https://doi.org/10.3389/feduc.2025.1510828
Walter, Y. (2024). Embracing the future of Artificial Intelligence in the classroom: The relevance of AI literacy, prompt engineering, and critical thinking in modern education. International Journal of Educational Technology in Higher Education, 21(1), 15. https://doi.org/10.1186/s41239-024-00448-3
Wei, L. (2023). Artificial intelligence in language instruction: Impact on English learning achievement, L2 motivation, and self-regulated learning. Frontiers in Psychology, 14. https://doi.org/10.3389/fpsyg.2023.1261955
Whalen, K., & and Paez, A. (2021). Student perceptions of reflection and the acquisition of higher-order thinking skills in a university sustainability course. Journal of Geography in Higher Education, 45(1), 108–127. https://doi.org/10.1080/03098265.2020.1804843
Wijaya, T. T., Cao, Y., & Li, X. (2024). The Impact of Digital Mathematics Textbooks on Teacher-Student Interaction: Evidence from Behavioral Sequence Analysis. International Journal of Human-Computer Interaction. Scopus. https://doi.org/10.1080/10447318.2024.2426033
Yotta, E. G. (2023). Accommodating students’ learning styles differences in English language classroom. Heliyon, 9(6). https://doi.org/10.1016/j.heliyon.2023.e17497
Yu, H. (2023). Reflection on whether Chat GPT should be banned by academia from the perspective of education and teaching. Frontiers in Psychology, 14. https://doi.org/10.3389/fpsyg.2023.1181712
Yuan, R., & and Liao, W. (2023). Critical thinking in teacher education: Where do we stand and where can we go? Teachers and Teaching, 29(6), 543–552. https://doi.org/10.1080/13540602.2023.2252688
Yustitia, V., Murti, V. S., Kusmaharti, D., & Faridah, L. (2025). ENHANCING STUDENTS’ CRITICAL THINKING IN NUMERACY PROBLEM-SOLVING THROUGH A FIELD-INDEPENDENT LEARNING STYLE AND HIGH SELF EFFICACY. Jurnal Ilmiah Ilmu Terapan Universitas Jambi, 9(1), 119–129. Scopus. https://doi.org/10.22437/jiituj.v9i1.36525
Zhang, Q., & Wang, Y. (2024). A Comparative Study of Teacher-Student Verbal Interaction in Primary School Mathematics Classroom Teachers——Taking Novice Teachers and Expert Teachers as Examples. Journal of Educational Technology Development and Exchange, 17(2), 296–314. Scopus. https://doi.org/10.18785/jetde.1702.14
Zhao, Y., Zhao, M., & Shi, F. (2024). Integrating Moral Education and Educational Information Technology: A Strategic Approach to Enhance Rural Teacher Training in Universities. Journal of the Knowledge Economy, 15(3), 15053–15093. https://doi.org/10.1007/s13132-023-01693-z
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Endang Yuliani, Ummi Rosyidah, Irma Ayuwanti, Iskandar

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.