Students' problem-solving performance in geometric extremum tasks through an integrated vector and analytical approach

Authors

  • Da Tien Nguyen Hanoi Metropolitan University
  • Anh Ngoc Nguyen Hanoi Metropolitan University
  • Kieu Anh Thi Phan Hanoi Metropolitan University

DOI:

https://doi.org/10.29408/jel.v12i3.34344

Keywords:

analytical tools, geometric extremum, problem-solving, vector

Abstract

This study addresses the inherent limitations of traditional Euclidean approaches to geometric extremum and distance problems, which frequently result in unsystematic and difficult-to-generalize solutions. To overcome these challenges, a structured three-step mathematical modeling framework is introduced: (1) vectorization of the geometric configuration; (2) formulation of an analytical objective function; and (3) systematic optimization via derivatives or gradients. Methodologically, the research employs a constructive modeling strategy that translates complex spatial relationships into vector-based algebraic expressions, rigorously tested across eight purposively selected examples ranging from elementary plane geometry to advanced spatial dynamics. The results indicate that this framework effectively transforms intricate geometric constraints into tractable, variable-dependent functions, allowing derivative-based optimization to yield precise extremum values while bypassing ad hoc geometric constructions. Ultimately, this research contributes to the literature by bridging synthetic geometry and mathematical analysis, offering a robust, generalizable tool that clarifies the underlying mathematical structures and fosters the development of abstract thinking and generalization capabilities for future pedagogical applications.

References

Alghadari, F., Turmudi, T., & Herman, T. (2018). The application of vector concepts on two skew lines. Journal of Physics: Conference Series, 948(1), Article 012030. https://doi.org/10.1088/1742-6596/948/1/012030

Aliu, F., Jusufi Zenku, T., Iseni, E., & Rexhepi, S. (2025). The advantage of using GeoGebra in the understanding of vectors and comparison with the classical method. International Electronic Journal of Mathematics Education, 20(2), Article em0824. https://doi.org/10.29333/iejme/16007

Anton, H., Bivens, I., & Davis, S. (2012). Calculus (10th ed.). John Wiley & Sons.

Axler, S. (2015). Linear algebra done right (3rd ed.). Springer.

Blum, W., & Leiss, D. (2011). How do students and teachers deal with modelling problems? In C. Haines, P. Galbraith, W. Blum, & S. Khan (Eds.), Modelling and applications in mathematics education (pp. 222–231). Springer. https://doi.org/10.1007/978-1-4419-0561-1_21

Bộ Giáo dục và Đào tạo. (2018). Chương trình giáo dục phổ thông môn Toán [General Education Curriculum for Mathematics]. Nhà xuất bản Giáo dục Việt Nam.

Grigorieva, E. (2025). Methods of solving stereometry problems. In Methods of solving solid geometry problems (pp. 1–152). Springer. https://doi.org/10.1007/978-3-031-86969-3_1

Hanna, G., & de Villiers, M. (Eds.). (2012). Proof and proving in mathematics education: The 19th ICMI study. Springer. https://doi.org/10.1007/978-94-007-2129-6

Leong, Y. H., Cheng, L. P., & Sze, W. Y. (2010). Teaching and learning of vectors: A review of literature. The Mathematics Educator, 12(1), 33–52.

Marsden, J. E., & Tromba, A. J. (2012). Vector calculus (6th ed.). W. H. Freeman and Company.

Saraçoğlu, H., & Kol, Ö. (2018). Evaluation of teacher candidates' knowledge about vectors. Asia-Pacific Forum on Science Learning and Teaching, 19(2), Article 14.

Shimizu, Y. (2022). Learning engagement as a moderator between self-efficacy, math anxiety, problem-solving strategy, and vector problem-solving performance. Psych, 4(4), 816–832. https://doi.org/10.3390/psych4040060

Stewart, J. (2016). Calculus: Early transcendentals (8th ed.). Cengage Learning.

Tall, D. (2013). How humans learn to think mathematically: Exploring the three worlds of mathematics. Cambridge University Press.

Watson, A., & Mason, J. (2015). Mathematics as a constructive activity: Learners generating examples. Routledge.

Zhao, Y. (2024). From tiles to worksheet: Exploring concreteness fading in learning vector addition. Education Sciences, 14(7), Article 730. https://doi.org/10.3390/educsci14070730

Downloads

Published

06-08-2026

How to Cite

Nguyen, T. D., Nguyen, N. A., & Phan, K. A. (2026). Students’ problem-solving performance in geometric extremum tasks through an integrated vector and analytical approach. Jurnal Elemen, 12(3), 809–826. https://doi.org/10.29408/jel.v12i3.34344

Issue

Section

Articles

Similar Articles

1 2 3 4 5 6 7 8 9 10 > >> 

You may also start an advanced similarity search for this article.