Procedural Dominance in Students’ Reasoning on the Limit Definition: Insights from a Ways of Thinking Framework

DOI:

https://doi.org/10.58421/misro.v4i4.776

Authors

Keywords:

Ways of thinking, Limit definition, Differential calculus

Abstract

This study explores university students’ ways of thinking about the limit concept in differential calculus and uncovers how they construct the meaning of the limit definition through their reasoning. Data were collected from 28 students in mathematics education at a university in West Java, Indonesia, through written tasks and semi-structured interviews. Thematic analysis identified dominant reasoning patterns, revealing that 71% of students exhibited procedural reasoning, 18% demonstrated conceptual reasoning, and 11% displayed formal reasoning. Based on a systematic data reduction process, these patterns were categorized into procedural, conceptual, and formal ways of thinking, and six representative participants were purposively selected for in-depth analysis. The findings show that students predominantly exhibited procedural reasoning, relying heavily on algorithmic manipulation and symbolic recall rather than conceptual understanding or formal justification. This pattern indicates that many students have not yet internalized the formal meaning of the limit definition, resulting in mechanical rather than reflective reasoning. These findings highlight the need for instructional designs that promote conceptual reflection and formal reasoning in calculus learning, enabling students to move beyond procedural competence toward a more integrated understanding of the limit concept.

Downloads

Download data is not yet available.

References

Yoon, H., Bae, Y., Lim, W., & Kwon, O. N. A story of the national calculus curriculum: how culture, research, and policy compete and compromise in shaping the calculus curriculum in South Korea. ZDM – Mathematics Education, 53(3), 663–677, 2021.

Gucler, B. Examining the discourse on the limit concept in a beginning-level calculus classroom. Educational Studies in Mathematics, 82(3), 439–453. https:// doi. org/ 10. 1007/ s10649- 012- 9438-2, 2013.

Gucler, B. The role of symbols in mathematical communication: The case of the limit notation. Research in Mathematics Education, 16(3), 251–268, 2014, https:// doi. org/ 10. 1080/ 14794 802.

Bezuidenhout, J. Limits and continuity: Some conceptions of first-year students. International Journal of Mathematical Education in Science and Technology., 32(4), 487–500, 2010.

Cottrill, J., Dubinsky, E., Nichols, D., Schwingendorf, K., Thomas, K., & Vidakovic, D. Understanding the limit concept: Beginning with a coordinated process scheme. Journal of Mathematical Behavior, 15(2), 167–192, 1996.

Keene, K. A., Hall, W., & Duca, A. Sequence limits in calculus: Using design research and building on intuition to support instruction. ZDM Mathematics Education, 46, 561–574, 2014.

Kidron, I., & Tall, D. The role of embodiment and symbolism in the potential and actual infinity of the limit process. Educational Studies in Mathematics, 2015

Sierpinska, A. Humanities students and epistemological obstacles related to limits. Educational Studies in Mathematics, 18, 371–397, 1987.

Hitt, F., & Dufour, S. Introduction to calculus through an open-ended task in the context of speed: representations and actions by students in action. ZDM–Mathematics education, 53(3), 635-647, 2021.

Harel, G. What is mathematics? A pedagogical answer to a philosophical question. Proof and other dilemmas: Mathematics and philosophy, 265-290, 2008.

Harel, G., & Sowder, L. Advanced mathematical-thinking at any age: Its nature and its development. In Advanced Mathematical Thinking (pp. 27-50). Routledge, 2013.

Koichu, B., Harel, G., & Manaster, A. Ways of thinking associated with mathematics teachers’ problem posing in the context of division of fractions. Instructional Science, 41(4), 681-698, 2013.

Harel, G. Two dual assertions: The first on learning and the second on teaching (or vice versa). The American Mathematical Monthly, 105(6), 497-507, 1998.

Lesh, R., & Harel, G. Problem solving, modeling, and local conceptual development. Mathematical thinking and learning, 5(2-3), 157-189, 2003.

Tall, D., & Vinner, S. Concept image and concept definition in mathematics with particular reference to limits and continuity. Educational Studies in Mathematics, 12, 151–169, 2018.

Kim, D., Kang, H., & Lee, H. Two different epistemologies about limit concepts. International Education Studies, 8(3), 138–145, 2015.

Usman, U., Hasbi, M., & Muslem, A. Profile of Pre-Service Math Teachers’ Conception about the Definition of Limit Functions Based on Mathematical Ability. Jurnal Pendidikan Progresif, 14(2), 704-712, 2024.

Sulastri, R., Suryadi, D., Prabawanto, S., Cahya, E., Siagian, M. D., & Tamur, M. Prospective mathematics teachers’ concept image on the limit of a function. In Journal of Physics: Conference Series (Vol. 1882, No. 1, p. 012068). IOP Publishing, 2021.

Sulastri, R., Suryadi, D., Prabawanto, S., & Cahya, E. Epistemological Obstacles on Limit and Functions Concepts: A Phenomenological Study in Online Learning. Mathematics teaching research journal, 14(5), 84-106, 2022.

Winarso, W., & Toheri, T. A case study of misconceptions students in the learning of mathematics; The concept limit function in high school. Jurnal Riset Pendidikan Matematika, 4(1), 120–127, 2017.

Saleh, S., Budayasa, I. K., & Lukito, A. The profile in understanding the concept of function limit of the prospective teachers students based on difference in mathematical skill. In AIP Conference Proceedings (Vol. 3038, No. 1, p. 020037). AIP Publishing LLC, 2025.

Bikner-Ahsbahs, A., Knipping, C., & Presmeg, N. Approaches to qualitative research in mathematics education. Advances in Mathematics Education, DOI, 10, 978-94, 2015.

Sharma, S. Qualitative approaches in mathematics education research: Challenges and possible solutions. Education Journal, 2(2), 50-57, 2013.

Simon, M. A. Analyzing qualitative data in mathematics education. In Designing, conducting, and publishing quality research in mathematics education (pp. 111-122). Cham: Springer International Publishing, 2019.

Kim, D. J., & Lim, W. The relative interdependency of colloquial and mathematical discourses regarding the notion and calculations of limit: An evidence-based cross-cultural study. International Journal of Science and Mathematics Education, 16(8), 1561-1579, 2018.

Fernández-Plaza, J. A., & Simpson, A. Three concepts or one? Students’ understanding of basic limit concepts. Educational Studies in Mathematics, 93(3), 315-332, 2016.

Roh, K. H. An empirical study of students’ understanding of a logical structure in the definition of limit via the ε-strip activity. Educational Studies in Mathematics, 73(3), 263-279, 2010.

Fernández, E. THE STUDENTS'TAKE ON THE EPSILON-DELTA DEFINITION OF A LIMIT. Problems, Resources, and Issues in Mathematics Undergraduate Studies, 14(1), 43-54, 2004.

Mahadewsing, R., Getrouw, D., & Calor, S. M. Prior knowledge of a calculus course: The impact of prior knowledge on students’ errors. International Electronic Journal of Mathematics Education, 19(3), em0786, 2024.

R. Abdul-Wasiu, I. Brilliant Essuman, D. Offei Kwakye, and I. Alhassan, “Descriptive Survey of Preservice Mathematics Teachers’ Perceived Knowledge and Use of Teaching and Learning Materials”, J.Math.Instr.Soc.Res.Opin., vol. 3, no. 2, pp. 251–264, 2024.

Boero, P. Analyzing the transition to epsilon-delta Calculus: A case study. In CERME 9-Ninth Congress of the European Society for Research in Mathematics Education, pp. 93-99, 2015.

Caglayan, G. Math majors' visual proofs in a dynamic environment: The case of limit of a function and the ϵ–δ approach. International journal of mathematical education in science and technology, 46(6), 797-823, 2015.

Adiredja, A. P. The pancake story and the epsilon–delta definition. Primus, 31(6), 662-677, 2021.

Al-Mutawah, M. A., Thomas, R., Eid, A., Mahmoud, E. Y., & Fateel, M. J. Conceptual understanding, procedural knowledge and problem-solving skills in mathematics: High school graduates work analysis and standpoints. International journal of education and practice, 7(3), 258-273, 2019.

Braithwaite, D. W., & Sprague, L. Conceptual knowledge, procedural knowledge, and metacognition in routine and nonroutine problem solving. Cognitive Science, 45(10), e13048, 2021.

Carpenter, T. P. Conceptual knowledge as a foundation for procedural knowledge. In Conceptual and procedural knowledge, Routledge, (pp. 113-132), 2013.

Morin, S., Suryadi, D., Prabowanto, S., & Sulistiyo, D. Junior high school students in solving mathematical ill-structured problems: Analyzing using Harel theory. Journal of Engineering Science and Technology, 20(3), 1-8, 2025.

Gurl, T. J., Markinson, M. P., & Artzt, A. F. Using ChatGPT as a lesson planning assistant with preservice secondary mathematics teachers. Digital Experiences in Mathematics Education, 11(1), 114-139, 2025.

Blažek, J., & Pech, P. Solving a problem with GeoGebra current possibilities and limits of CAS tools. Journal of Automated Reasoning, 69(3), 20, 2025.

Zhang, Y., Wang, P., Jia, W., Zhang, A., & Chen, G. Dynamic visualization by GeoGebra for mathematics learning: a meta-analysis of 20 years of research. Journal of Research on Technology in Education, 57(2), 437-458, 2025.

Downloads

Additional Files

Published

2025-12-08

How to Cite

[1]
A. Prihandhika and H. N. Sopiany, “Procedural Dominance in Students’ Reasoning on the Limit Definition: Insights from a Ways of Thinking Framework”, J.Math.Instr.Soc.Res.Opin., vol. 4, no. 4, pp. 1313–1324, Dec. 2025.

Issue

Section

Articles