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

Authors

  • Jefferson Agustín Macías Bravo UNIVERSIDAD TECNICA DE MANABI
  • Ulbio Colón Durán Pico UNIVERSIDAD TECNICA DE MANABI
  • Jesús Jhinson Moreira Vélez UNIVERSIDAD TECNICA DE MANABI

DOI:

https://doi.org/10.37117/s.v28i1.1289

Keywords:

cross product, linear algebra, mathematical software, didactic strategy, engineering education, GNU Octave, MATLAB Mobile

Abstract

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.

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Author Biographies

Jefferson Agustín Macías Bravo, UNIVERSIDAD TECNICA DE MANABI

Jefferson Agustín Macías Bravo is an Ecuadorian academic and researcher whose professional career is closely linked to the Technical University of Manabí (UTM) in Portoviejo. He works primarily in the field of exact sciences, where he is known for his teaching and his focus on technical research.

Ulbio Colón Durán Pico, UNIVERSIDAD TECNICA DE MANABI

Ulbio Colón Durán Pico is a professor and researcher at the Technical University of Manabí (UTM), where he teaches at the Graduate Institute and the Faculty of Basic Sciences. His publications focus primarily on the use of technological tools for teaching mathematics and didactic strategies.  

Jesús Jhinson Moreira Vélez, UNIVERSIDAD TECNICA DE MANABI

Jesús Jhinson Moreira Vélez is a prominent Ecuadorian academic, researcher, and cultural manager, born on September 22, 1973. His professional work has focused primarily on the province of Manabí, where he has built a career in higher education and the analysis of communication processes. He currently teaches at the Technical University of Manabí (UTM) and maintains a close collaboration with the Eloy Alfaro Lay University of Manabí (ULEAM), institutions from which he promotes critical thinking and pedagogical innovation.

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

Published

2026-06-30

How to Cite

Macías Bravo, J. A., Durán Pico, U. C., & Moreira Vélez, J. J. (2026). 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. Sinapsis, 28(1), 12. https://doi.org/10.37117/s.v28i1.1289

Issue

Section

Information and Communication Technologies

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