Original Research
Harnessing GeoGebra as a modelling tool to mitigate undergraduate engineering mathematics students’ misconceptions and errors associated with complex numbers
Submitted: 04 August 2024 | Published: 25 July 2025
About the author(s)
Majane P. Seloane, Department of Mathematics and Applied Mathematics, Faculty of Science, University of Johannesburg, Johannesburg, South AfricaSam Ramaila, Department of Mathematics, Science and Technology Education, Faculty of Education, University of Johannesburg, Johannesburg, South Africa
Mdutshekelwa Ndlovu, Department of Mathematics, Science and Technology Education, Faculty of Education, University of Johannesburg, Johannesburg, South Africa
Abstract
This article reports on the effectiveness of GeoGebra as a modelling tool to mitigate undergraduate engineering mathematics students’ misconceptions and errors associated with complex numbers. GeoGebra is a transformative open-source mathematical software that allows students to visualise and manipulate mathematical objects on different types of digital devices. Despite the centrality of complex numbers in studying vital mathematical concepts such as vectors, eigenvalues, and eigenvectors, studies revealed a prevalence of misconceptions and errors associated with complex numbers. Some students confuse the complex number’s representations; others view the representations as autonomous and unrelated. The study adopted a methodological pragmatism research design. It involved volunteering first-year first-semester engineering mathematics students from purposefully selected specialisation groups that included mechanical, industrial, and electrical engineering, at a South African university. The empirical intervention was underpinned by the Realistic Mathematics Education (RME) framework; the data for students’ misconceptions and errors were collected from their pre-test and post-test scripts and analysed qualitatively using Donaldson and Orton’s errors categories as a lens and quantised or quantitised using a chi-square test. The total frequencies of misconceptions and errors yielded a chi-square statistic of 7.9584 and a p-value of 0.004787, which was statistically significant at p < 0.05.
Contribution: The study’s key findings strongly suggest that GeoGebra-facilitated intervention effectively mitigates undergraduate engineering mathematics students’ total misconceptions and errors associated with complex numbers more than the traditional intervention. This indicates teachers can harness GeoGebra, reducing students’ misconceptions and errors associated with complex numbers and improving the quality of teaching and learning complex numbers and tertiary engineering mathematics education.
Keywords
Sustainable Development Goal
Metrics
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Crossref Citations
1. Uso de tecnologías educativas para la enseñanza de las matemáticas en la educación un estudio sobre la efectividad del software GeoGebra
Marco Antonio Yánez Jácome, Ana Marisol Salinas Freire, Richard Víctor Herrera Herrera, Myrian Yolanda Yansapanta Yugcha
Revista Ciencia Innovadora vol: 3 issue: 4 first page: 394 year: 2025
doi: 10.64422/rci.v3n4.2025.116