Problem-Solving Errors in Highest Common Factors and Lowest Common Multiples: An Analysis of Pre-Service Teachers’ Misconceptions
(1) Mathematics, Science and Technology Education Department, Faculty of Education, Walter Sisulu University, South Africa
(*) Corresponding Author
Abstract
This study examined the conceptual understanding of South African pre-service teachers regarding the Highest Common Factor (HCF) and Lowest Common Multiple (LCM), with a focus on errors and misconceptions that affect problem-solving. There is a paucity of research that specifically analyses how pre-service teachers’ misconceptions about HCF and LCM contribute to problem-solving errors in foundational mathematics. This study is grounded in two complementary theoretical perspectives: the Mathematical Knowledge for Teaching (MKT) framework and the Conceptual–Procedural Knowledge Theory. A sequential explanatory mixed-methods design was employed. Quantitative data were analysed using one-sample t-tests and Pearson’s correlation, and qualitative data were supported by error analysis. The three hypotheses were tested. Results showed a significant difference in understanding (t = 25.685, p < 0.001), leading to the rejection of the first hypothesis. A moderate negative correlation (r = -0.48, p < 0.001) between misconceptions and accuracy led to the rejection of the second hypothesis. The third hypothesis was not rejected, as no strong correlation was found between strategy use and conceptual errors (r = -0.12, p = 0.425). Findings highlight gaps in conceptual understanding and emphasise the need for conceptually focused instruction, diagnostic assessments, and real-life applications in teacher education programmes.
Keywords
Full Text:
PDFReferences
Ball, D. L., Thames, M. H., & Phelps, G. (2008). Content knowledge for teaching: What makes it special? http://jte.sagepub.com/content/59/5/389
Benson, I., Marriott, N., & McCandliss, B. (2023). Interventions to improve equational reasoning: Replication and extension of the Cuisenaire-Gattegno curriculum effect. Frontiers in Psychology, 14, Article 1116555. https://doi.org/10.3389/fpsyg.2023.1116555
Caniglia, J., & Meadows, M. (2018). An application of the SOLO taxonomy to classify strategies used by pre-service teachers to solve “one-question problems.” Australian Journal of Teacher Education, 43(9), 75–89. https://doi.org/10.14221/ajte.2018v43n9.5
Chikiwa, S., & Graven, M. (2023). Exploring the development of South African pre-service teachers’ reflective practice. Pythagoras, 44(1), Article 678. https://doi.org/10.4102/pythagoras.v44i1.678
Chirinda, B., Ndlovu, M., & Spangenberg, E. (2021). Teaching mathematics during the COVID-19 lockdown in a context of historical disadvantage. Education Sciences, 11(4), Article 177. https://doi.org/10.3390/educsci11040177
Fetters, M., & Molina‐Azorín, J. (2017). The Journal of Mixed Methods Research starts a new decade: The mixed methods research integration trilogy and its dimensions. Journal of Mixed Methods Research, 11(3), 291–307. https://doi.org/10.1177/1558689817714066
Furner, J. M. (2018). Using Children’s Literature to Teach Mathematics: An Effective Vehicle in a STEM World. European Journal of STEM Education, 3(3), 14. https://doi.org/10.20897/ejsteme/3874
Halim, N., Li, H., Shahrill, M., & Prahmana, R. (2017). Teaching strategies in the learning of highest common factor and lowest common multiple. Journal of Physics: Conference Series, 943, 012041. https://doi.org/10.1088/1742-6596/943/1/012041
Herheim, R. (2023). On the origin, characteristics, and usefulness of instrumental and relational understanding. Educational Studies in Mathematics, 113(3), 389–404. https://doi.org/10.1007/s10649-023-10225-0
Hiebert, J., & Lefevre, P. (1986). In Hiebert, J. Conceptual and procedural knowledge in mathematics: An introductory analysis. Routledge
Jojo, Z. (2020). Mathematics education system in South Africa. IntechOpen.
https://doi.org/10.5772/intechopen.85325
Joubert, M., & Kenny, S. (2018). Exploring the perspectives of participants of two mathematics professional development courses in South Africa: Personal, professional and community outcomes. African Journal of Research in Mathematics, Science and Technology Education, 22(3), 319–328. https://doi.org/10.1080/18117295.2018.1525093
Landa, N., Zhou, S., & Marongwe, N. (2021). Education in emergencies: Lessons from COVID-19 in South Africa. International Review of Education, 67(1–2), 167–183. https://doi.org/10.1007/s11159-021-09903-z
Lumadi, M. (2014). Building a conducive learning environment in dysfunctional schools: A curriculum development tool. Mediterranean Journal of Social Sciences, 5(6), 319. https://doi.org/10.5901/mjss.2014.v5n6p319
Makonye, J. (2017). Migrant teachers’ perceptions of the South African mathematics curriculum and their experiences in teaching in the host country. SAGE Open, 7(2). https://doi.org/10.1177/2158244017706713
Mbhiza, H. (2024). Behind the love and stories: Rural students’ reasons and motivations for learning mathematics. Interdisciplinary Journal of Sociality Studies, 4, Article 08. https://doi.org/10.38140/ijss-2024.vol4.08
McDonald, Z., Sayed, Y., Kock, T., & Hoffmann, N. (2021). Acquiring pedagogic authority while learning to teach. Africa Development, 46(1). https://doi.org/10.57054/ad.v46i1.745
Mosvold, R. (2022). Mathematical knowledge for teaching in Africa 2014–2021: A review of literature. African Journal of Teacher Education and Development, 1(1). https://doi.org/10.4102/ajoted.v1i1.10
Motilal, G., & Fleisch, B. (2020). The triple cocktail programme to improve the teaching of reading: Types of engagement. South African Journal of Childhood Education, 10(1), Article 709. https://doi.org/10.4102/sajce.v10i1.709
Ngobeni, N., Chibambo, M., & Divala, J. (2023). Curriculum transformations in South Africa: Some discomforting truths on interminable poverty and inequalities in schools and society. Frontiers in Education, 8. https://doi.org/10.3389/feduc.2023.1132167
Saal, P., & Graham, M. (2023). Comparing the use of educational technology in mathematics education between South African and German schools. Sustainability, 15(6), Article 4798. https://doi.org/10.3390/su15064798
Sadiki, A., Tshifhumulo, R., Mpatlanyane, V., & Amaechi, K. (2023). Undergraduate students’ experiences with electronic learning platforms during the COVID-19 pandemic at a rural-based tertiary institution in South Africa. International Journal of Learning, Teaching and Educational Research, 22(8), 83–103. https://doi.org/10.26803/ijlter.22.8.5
Semper, J., & Lizasoain, I. (2023). Achieving transfer from mathematics learning. Education Sciences, 13(2), 161. https://doi.org/10.3390/educsci13020161
Skemp, R. R. (1976). Relational understanding and instrumental understanding. Mathematics teaching, 77(1), 20-26. https://davidtall.com/skemp/pdfs/instrumental-relational.pdf
Tachie, S. (2020). The challenges of South African teachers in teaching Euclidean geometry. International Journal of Learning, Teaching and Educational Research, 19(8), 297–312. https://doi.org/10.26803/ijlter.19.8.16
Taley, I. (2022). Do students like us because we teach well? The popularity of high school mathematics teachers. Asian Journal for Mathematics Education, 1(4), 383–407. https://doi.org/10.1177/27527263221142906
Wiseman, A., & Davidson, P. (2021). Institutionalised inequities and the cloak of equality in the South African educational context. Policy Futures in Education, 19(8), 992–1009. https://doi.org/10.1177/1478210321999197
Yang, Z., Yang, X., Wang, K., Zhang, Y., Pei, G., & Bin, X. (2021). The emergence of mathematical understanding: Connecting to the closest superordinate and convertible concepts. Frontiers in Psychology, 12, Article 525493. https://doi.org/10.3389/fpsyg.2021.525493
DOI: http://dx.doi.org/10.30738/indomath.v9i1.167
Refbacks
- There are currently no refbacks.
Copyright (c) 2026 Shakespear Maliketi Chiphambo

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
View My Stats
