UTM, ING, EDU Mathematical Software-Assisted Didactic Strategy in the Teaching-Learning Process of the Cross Product in Linear Algebra for Engineering Education
Impact on Academic Performance and Student Perceptions
DOI:
https://doi.org/10.37117/s.v28i1.1289Keywords:
cross product, linear algebra, mathematical software, didactic strategy, engineering education, GNU Octave, MATLAB MobileAbstract
Learning the cross product represents a challenge in the mathematical training of engineers, due to the difficulty in articulating its algebraic and geometric registers. This study aimed to analyze the influence of a didactic strategy assisted by mathematical software on the teaching-learning process of the cross product in Linear Algebra for engineering students. A quantitative study with a cross-sectional quasi-experimental design was conducted with 117 engineering students from the Universidad Técnica de Manabí (Ecuador), assigned to a control group (n = 58, traditional methodology) and an experimental group (n = 59, strategy assisted by GNU Octave and MATLAB Mobile). A structured performance test and a Likert-type perception survey were administered. Results showed that the experimental group obtained a significantly higher mean (6.97 vs. 5.21; t(115) = -2.59, p = .011), with a small-to-medium effect size (d = 0.48). The approval rate (grade ≥ 7) was 69.49% in the experimental group versus 50.00% in the control group. Student perceptions were favorable (means: 3.37–3.40/5), highlighting software utility and academic motivation, and the perception instrument showed excellent internal consistency (global α = 0.9892). It is concluded that the didactic strategy assisted by mathematical software significantly improved academic performance and generated positive perceptions in learning the cross product, supporting the integration of dynamic visualization tools and disciplinary contextualization in Linear Algebra instruction for engineering.
Downloads
References
Borba, M. C., y Villarreal, M. E. (2005). Humans-with-Media and the Reorganization of Mathematical Thinking (Vol. 39). Springer. https://link.springer.com/book/10.1007/b105001#accessibility-information
Cao, Y., Al-Kubaisy, Z., Stojanović, J., Denić, N., Petković, D., Zlatković, D., & Zakić, A. (2022). Appraisal of information and communications technologies on the teaching process by neuro fuzzy logic. Computer Applications in Engineering Education, 30(3), 779-802. https://doi.org/https://doi.org/10.1002/cae.22486
Che Mansor, N. F., y Jana Aksah, S. (2025). Utilizing Mathematical Software for the Teaching and Learning of Mathematics in Malaysia. Malaysian Journal of Computing, 10(2), 2293–2307. https://doi.org/https://doi.org/10.24191/mjoc.v10i2.6022
Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Lawrence Erlbaum Associates. https://doi.org/https://doi.org/10.4324/9780203771587
Cronbach, L. J. (1951). Coefficient Alpha and the Internal Structure of Tests. Psychometrika, 16(3), 297-334. https://doi.org/https://doi.org/10.1007/BF02310555
Field, A. (2018). Discovering statistics using IBM SPSS Statistics (5th ed.). Sage Publications.
Gilligan-Lee, K. A., Hawes, Z. C., & Mix , K. S. (2022). Spatial thinking as the missing piece in mathematics curricula. NPJ Science of Learning, 7(10). https://doi.org/https://doi.org/10.1038/s41539-022-00128-9
Guntur, M. I., Setyaningrum, W., Retnawati, H., y Marsigit. (2020). Can augmented reality improve problem-solving and spatial skill? Journal of Physics: Conference Series, 1581. https://doi.org/https://doi.org/10.1088/1742-6596/1581/1/012063
Hernández-Sampieri, R., y Mendoza, C. (2018). Metodología de la investigación. Las rutas cuantitativa, cualitativa y mixta. McGraw-Hill. https://doi.org/https://doi.org/10.22201/fesc.20072236e.2019.10.18.6
Islim, O. F., Namlı, Ş., Sevim, N., y Ozcakir, B. (2024). Augmented Reality in Mathematics Education: A Systematic Review. Participatory Educational Research, 11(4), 115-139. https://doi.org/https://doi.org/10.17275/per.24.52.11.4
Juandi, D., Kusumah, Y., Tamur, M., Perbowo, K., y Wijaya, T. (2021). A meta-analysis of Geogebra software decade of assisted mathematics learning: what to learn and where to go? Heliyon, 7(5). https://doi.org/https://doi.org/10.1016/j.heliyon.2021.e06953
Lowrie, T., Logan, T., Harris, D., y Hegarty, M. (2018). The impact of an intervention program on students’ spatial reasoning: student engagement through mathematics-enhanced learning activities. Cognitive Research, 3(50). https://doi.org/https://doi.org/10.1186/s41235-018-0147-y
Medina Herrera, L. M., Juárez Ordóñez , S., & Ruiz-Loza, S. (2024). Enhancing mathematical education with spatial visualization tools. Frontiers in Education, 9. https://doi.org/https://doi.org/10.3389/feduc.2024.1229126
Pawlaschyk, T., y Wegner, S. A. (2020). Engaging students in conjecturing through homework in real analysis and differential equations. International Journal of Mathematical Education in Science and Technology, 51(3), 439–450. https://doi.org/https://doi.org/10.1080/0020739X.2019.1656832
Reid O’Connor, B., y Norton, S. (2020). Supporting indigenous primary students’ success in problem-solving: learning from Newman interviews. Mathematics Education Research Journal, 34, 293–316. https://doi.org/https://doi.org/10.1007/s13394-020-00345-8
Resnick, I., Harris, D., Logan, T., & Lowrie, T. (2020). The relation between mathematics achievement and spatial reasoning. Mathematics Education Research Journal, 32, 171–174. https://doi.org/https://doi.org/10.1007/s13394-020-00338-7
Ruiz Loza, S., Medina Herrera, L. M., Molina Espinosa, J. M., y Huesca Juárez, G. (2022). Facilitating Mathematical Competencies Development for Undergraduate Students During the Pandemic Through ad-hoc Technological Learning Environments. Frontiers in Education, 7. https://doi.org/https://doi.org/10.3389/feduc.2022.830167
Trujillo Trejo, J., Fermín Pérez, A., Cáceres Huamán, M., Avendaño Quiroz, J., Trujillo Huamán, R., & Bustamante Olivera, V. (2021). Experiences in the usage of Octave on improving learning mathematics in an engineering faculty. 2021 IEEE World Conference on Engineering Education (EDUNINE), 1-5. https://doi.org/https://doi.org/10.1109/EDUNINE51952.2021.9429162
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Jefferson Agustín Macías Bravo, Mg. Ulbio Colón Durán Pico, Mg. Jesús Jhinson Moreira Vélez

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
El Copyright posee el propósito de proteger tanto la propiedad intelectual de los autores como sus resultados. El comité editorial de la Revista Sinapsis se compromete con los autores a proteger, defender y preservar tanto su trabajo como su reputación, y toma muy en serio las acusaciones de infracción, plagio, disputas éticas y fraude. Si un autor se da cuenta de un posible plagio, copia de resultados, fraude o infracción, le rogamos que se comunique con la mayor brevedad posible con el comité editorial de la revista Sinapsis.
CC BY-NC-ND: esta licencia permite a los reutilizadores copiar y distribuir el material en cualquier medio o formato solo sin adaptarlo, solo con fines no comerciales y siempre que se le atribuya al creador.
Términos de Licencia:
Reconocimiento: debe otorgar el crédito correspondiente, proporcionar un enlace a la licencia e indicar si se realizaron cambios. Puede hacerlo de cualquier manera razonable, pero no de ninguna manera que sugiera que el licenciante lo respalda a usted o su uso.
No comercial: no puede utilizar el material con fines comerciales.
No Derivada: si remezcla, transforma o construye sobre el material, no puede distribuir el material modificado.
Sin restricciones adicionales: no puede aplicar términos legales o medidas tecnológicas que restrinjan legalmente a otros de hacer cualquier cosa que permita la licencia.
El autor esta en la obligación de seguir las exigencias según lo instruido en la licencia ubicada en el enlace: https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
