Epistemic Obstacles in Real Analysis: Newman’s Error Analysis of Prospective Mathematics Teachers' Theorem Proving

Authors

  • Ahmad Syamsuadi Universitas Muhammadiyah Makassar
  • Nasrun Nasrun Universitas Muhammadiyah Makassar
  • Baharullah Baharullah Universitas Muhammadiyah Makassar
  • Mukhlis Mukhlis Universitas Muhammadiyah Makassar
  • Andi Kaharuddin Universitas Lakidende Unaaha
  • Joseph Ozigis Akomodi Long Island University

DOI:

https://doi.org/10.33394/j-ps.v14i2.19323

Keywords:

Error Analysis, Mathematics Education, Newman’s Procedure, Real Analysis, Theorem Proving

Abstract

Real Analysis is often a gatekeeper course in mathematics education, marking the difficult transition from computational calculus to formal axiomatic proof. Prospective mathematics teachers frequently struggle to construct rigorous proofs, even for fundamental properties. This study employs Newman's Error Analysis (NEA) to analyze the epistemological obstacles underlying these struggles. This descriptive qualitative case study involved 15 fifth-semester undergraduates at Universitas Muhammadiyah Makassar who completed a diagnostic proof test on field properties. Analysis of student work revealed that none made errors at the 'Reading' stage. Instead, errors clustered at higher cognitive stages: 3 students exhibited Comprehension errors, 5 made Transformation errors, 4 showed Process Skills errors, and 3 made Encoding errors. From this cohort, four subjects, each exemplifying one of these non-reading error types, were selected for in-depth semi-structured interviews. The findings indicate a hierarchical breakdown in proof construction specifically for the theorem: "If a ≠ 0 and a ∈ ℝ, prove that  ≠ 0." Students either failed to translate verbal understanding into explicit premises (Comprehension), could not operationalize an indirect proof strategy (Transformation), neglected to justify algebraic steps with axioms (Process Skills), or omitted formal concluding statements (Encoding). The study concludes that errors often perceived as "carelessness" can be symptoms of deeper epistemological obstacles, such as viewing proof as a computational ritual rather than a formal, communicative argument. These findings underscore the need for explicit instruction on proof mechanics and structure, even when students possess correct mathematical intuition.

References

Agustina, R., Farida, N., & Irfan, M. (2024). Learning mathematics outcomes using Android for blind students based on Newman’s theory. Journal of Education and Learning, 18(3), 1056–1065.

Aladwan, S., Alfayez, M., & Shaheen, H. (2023). The level of conceptual and procedural knowledge in mathematics and its relationship to creative thinking among gifted students. International Journal of Instruction, 16(4), 897–916. https://doi.org/10.29333/iji.2023.1648a

Andriatna, R., & Dasari, D. (2025). Sentiment analysis of pre-service mathematics teacher through naïve Bayes classifier: The case of mathematical abstraction problem. Barekeng: Jurnal Ilmu Matematika dan Terapan, 19(3), 1485–1498. https://doi.org/10.30598/barekengvol19iss3pp1485-1498

Andriatna, R., Nurhasanah, F., & Shahrill, M. (2025). Understanding mathematical abstraction: A systematic literature review of its conceptualizations and research practices. Infinity Journal, 14(4), 1081–1104. https://doi.org/10.22460/infinity.v14i4.p1081-1104

Antonini, S., & Mariotti, M. A. (2008). Indirect proof: What is specific to this way of proving? ZDM Mathematics Education, 40(3), 401–412. https://doi.org/10.1007/s11858-008-0091-2

Aristidou, B. M. (2020). Is mathematical logic really necessary in teaching mathematical proofs? Athens Journal of Education, 7(1), 99–116. https://doi.org/10.30958/aje.7-1-5

Atisso, A., Kachine, D., & Feyissa, D. (2023). Effects of self-explanation on the expansion and indulgent of mathematics teaching: Case of the students of the University of Wachemo. Qubahan Academic Journal, 3(1), 1–12. https://doi.org/10.48161/qaj.v3n1a128

Bachelard, G. (2002). The formation of the scientific mind: A contribution to a psychoanalysis of objective knowledge (M. M. Jones, Trans.).

Clements, M. A. (1980). Analyzing children’s errors on written mathematical tasks. Educational Studies in Mathematics, 11(1), 1–21. https://doi.org/10.1007/BF00369157

Davies, B., Alcock, L., & Jones, I. (2020). Comparative judgement, proof summaries and proof comprehension. Educational Studies in Mathematics, 105(2), 181–197. https://doi.org/10.1007/s10649-020-09984-x

Ekasari, A. (2024). Error analysis of learners’ problem-solving abilities in mathematics courses: A Newman Error Analysis (NEA) approach. Jurnal Pendidikan Sains, 12(1), 45–54. https://doi.org/10.17977/2442-3904.1019

Gila, H., & Hans, N. J. (Eds.). (2010). Explanation and proof in mathematics: Philosophical and educational perspectives. Springer.

Haavold, P., Roksvold, J., & Sriraman, B. (2024). Pre-service teachers’ knowledge of and beliefs about direct and indirect proofs. Journal of Mathematical Behavior, 16(4), 336–355. https://doi.org/10.1080/19477503.2024.2363710

Harel, G., & Sowder, L. (2007). Toward comprehensive perspectives on the learning and teaching of proof. In F. K. Lester Jr. (Ed.), Second handbook of research on mathematics teaching and learning (pp. 805–842). Information Age Publishing.

Hodds, M., Alcock, L., & Inglis, M. (2023). Self-explanation training improves proof comprehension. Journal for Research in Mathematics Education, 54(2), 112–131. https://doi.org/10.5951/jresematheduc.45.1.0062

Iannone, P., & Thoma, A. (2024). Interactive theorem provers for university mathematics: An exploratory study of students’ perceptions. International Journal of Mathematical Education in Science and Technology, 55(10), 2622–2644. https://doi.org/10.1080/0020739X.2023.2178981

Jäder, J., Lithner, J., & Sidenvall, J. (2020). Mathematical problem solving in textbooks from twelve countries. International Journal of Mathematical Education in Science and Technology, 51(7), 1120–1136. https://doi.org/10.1080/0020739X.2019.1656826

Jones, S. R. (2015). Calculus limits involving infinity: The role of students’ informal dynamic reasoning. International Journal of Mathematical Education in Science and Technology, 46(1), 105–126. https://doi.org/10.1080/0020739X.2014.941427

Kaharuddin, A., García, J. G., Magfirah, I., & Yulismayanti, Y. (2025). Validating a TPCK-S instrument for hologram-based mathematics teaching. Indonesian Journal on Learning and Advanced Education (IJOLAE), 7(3), 525–536. https://doi.org/10.23917/ijolae.v7i3.12119

Kristianto, E., Mardiyana, & Saputro, D. R. S. (2019). Analysis of students’ error in proving convergent sequence using Newman error analysis procedure. Journal of Physics: Conference Series, 1180, Article 012001. https://doi.org/10.1088/1742-6596/1180/1/012001

Lenzen, W. (2018). Leibniz’s ontological proof of the existence of God and the problem of impossible objects. In Leibniz’s general critique of the ontological proof (pp. 1–21). Springer. https://doi.org/10.1007/s11787-017-0159-2

Meika, I., Sartika, N. S., Sujana, A., Jarinah, Hakim, Z., Windiarti, I. S., & Hendra. (2025). E-didactics design of differential calculus based on TPACK to overcome learning obstacles for mathematics pre-service teachers. Infinity Journal, 14(3), 733–752. https://doi.org/10.22460/infinity.v14i3.p733-752

Miles, M. B., Huberman, A. M., & Saldaña, J. (2020). Qualitative data analysis: A methods sourcebook (4th ed.). SAGE Publications.

Miller, S. P., & Hudson, P. J. (2007). Using evidence-based practices to build mathematics competence related to conceptual, procedural, and declarative knowledge. Learning Disabilities Research & Practice, 22(1), 47–57. https://doi.org/10.1111/j.1540-5826.2007.00230.x

Minggi, I., Arwadi, F., & Sabri. (2021). The mathematical proof steps of mathematics study program students in the subject of real analysis. Journal of Physics: Conference Series, 1899, Article 012146. https://doi.org/10.1088/1742-6596/1899/1/012146

Munawwaroh, A. G., Pramudya, I., & Nurhasanah, F. (2025). Epistemological obstacles in the process of learning mathematical abstraction: A systematic literature review. KnE Social Sciences, 10(11), 272–294. https://doi.org/10.18502/kss.v10i11.18749

Neuhaus-Eckhardt, S., Sommerhoff, D., & Ufer, S. (2025). Proof comprehension, proof validation, proof construction: All the same or different skills? An answer based on an empirical analysis. International Journal of Science and Mathematics Education. Advance online publication. https://doi.org/10.1007/s10763-025-10621-3

Newman, M. A. (1977). An analysis of sixth-grade pupils’ errors on written mathematical tasks. Victorian Institute for Educational Research Bulletin, 39, 31–43.

Noutsara, S., Neunjhem, T., & Chemrutsame, W. (2021). Mistakes in mathematics problems solving based on Newman’s error analysis on set materials. Journal La Edusci, 2(1), 15–22. https://doi.org/10.37899/journallaedusci.v2i1.367

Quarfoot, D., & Rabin, J. M. (2022). A hypothesis framework for students’ difficulties with proof by contradiction. International Journal of Research in Undergraduate Mathematics Education, 8, 490–520. https://doi.org/10.1007/s40753-021-00150-z

Rabin, J. M., & Quarfoot, D. (2022). Sources of students’ difficulties with proof by contradiction. International Journal of Research in Undergraduate Mathematics Education, 8(3), 521–549. https://doi.org/10.1007/s40753-021-00152-x

Salmawati, Kaharuddin, A., Syam, N., & Gupta, V. (2026). Teacher technological pedagogical content knowledge and skills (TPCK-S) and student cognitive agency: Determinants of deep learning outcomes in immersive geometry instruction. Jurnal Kependidikan: Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran, dan Pembelajaran, 12(1). https://doi.org/10.33394/jk.v12i1.19264

Schut, L., Tomašev, N., McGrath, T., Hassabis, D., Paquet, U., & Kim, B. (2025). Bridging the human-AI knowledge gap through concept discovery and transfer in AlphaZero. Proceedings of the National Academy of Sciences, 122(13), Article e2406675122. https://doi.org/10.1073/pnas.2406675122

Sommerhoff, D., Kollar, I., & Ufer, S. (2021). Supporting mathematical argumentation and proof skills: Comparing the effectiveness of a sequential and a concurrent instructional approach to support resource-based cognitive skills. Frontiers in Psychology, 11, Article 572165. https://doi.org/10.3389/fpsyg.2020.572165

Stylianides, G. J., Stylianides, A. J., & Moutsios, A. (2024). Proof and proving in school and university mathematics education research: A systematic review. ZDM - Mathematics Education, 56(1), 47–59. https://doi.org/10.1007/s11858-023-01518-y

Suhady, W., Roza, Y., & Maimunah, M. (2023). Identification of students’ conceptual and procedural errors in solving problems in three-dimensional material. Devotion: Journal of Research and Community Service, 4(3), 788–797. https://doi.org/10.36418/devotion.v4i3.433

Suradi, & Djam’an, N. (2021). Students’ error on proof of the group with “satisfy axioms proof” based on Newman error analysis. Journal of Physics: Conference Series, 2123, Article 012024. https://doi.org/10.1088/1742-6596/2123/1/012024

Suwarto, S., Hidayah, I., Rochmad, R., & Masrukan, M. (2023). Intuitive thinking: Perspectives on intuitive thinking processes in mathematical problem solving through a literature review. Cogent Education, 10(2), Article 2243119. https://doi.org/10.1080/2331186X.2023.2243119

Wannapiroon, N., & Pimdee, P. (2022). Thai undergraduate science, technology, engineering, arts, and math (STEAM) creative thinking and innovation skill development: A conceptual model using a digital virtual classroom learning environment. Education and Information Technologies, 27, 5689–5716. https://doi.org/10.1007/s10639-021-10849-w

Wirth, L., Kirsten, K., Serpe, C., & Greetham, G. (2024). Comparing different types of instructional videos in a flipped proof-based classroom. Frontiers in Education, 9, Article 1438355. https://doi.org/10.3389/feduc.2024.1438355

Yarman, Y., Murni, D., & Tasman, F. (2025). Implementation of SOLO taxonomy and Newman error analysis in first-order differential equation. Infinity Journal, 14(3), 695–710. https://doi.org/10.22460/infinity.v14i3.p695-710

Yin, R. K. (2018). Case study research and applications: Design and methods (6th ed.). SAGE Publications.

Downloads

Published

2026-05-03

How to Cite

Syamsuadi, A., Nasrun, N., Baharullah, B., Mukhlis, M., Kaharuddin, A., & Akomodi, J. O. (2026). Epistemic Obstacles in Real Analysis: Newman’s Error Analysis of Prospective Mathematics Teachers’ Theorem Proving. Prisma Sains : Jurnal Pengkajian Ilmu Dan Pembelajaran Matematika Dan IPA IKIP Mataram, 14(2), 747–761. https://doi.org/10.33394/j-ps.v14i2.19323

Issue

Section

Research Articles