Integración de las habilidades de baloncesto en el aprendizaje de las matemáticas: un modelo innovador para mejorar las habilidades y el rendimiento

Autores/as

  • Oki Candra Programa de Estudios de Educación Física, Universitas Islam Riau, Indonesia.
  • Putri Wahyuni Programa de Estudios de Educación Física, Universitas Islam Riau, Indonesia.
  • Ahmad Rahmadani Programa de Estudios de Educación Física, Universitas Islam Riau, Indonesia.
  • Toktong Parulian Programa de Estudios de Educación Física, Universitas Islam Riau, Indonesia.
  • Dupri Dupri Programa de Estudios de Educación Física, Universitas Islam Riau, Indonesia.
  • Jeki Purnama Putra Programa de Ciencias del Deporte, Facultad de Ciencias de la Salud, Universitas Kartamulia Purwakarta, Indonesia.
  • Harris Kamal Kamarudin Facultad de Ciencias del Deporte y la Recreación, Universiti Teknologi MARA, Malasia.
DOI: https://doi.org/10.6018/sportk.651871
Palabras clave: Baloncesto, Aprendizaje Basado en Matemáticas, Innovación en la Educación Física, Estrategias de Aprendizaje Deportivo

Resumen

El aprendizaje de las habilidades del baloncesto se ha centrado más en los aspectos físicos y técnicos, sin considerar enfoques basados en el análisis cuantitativo, como las matemáticas, que pueden proporcionar una comprensión más profunda de las estrategias de movimiento y su eficacia. Este estudio tuvo como objetivo desarrollar y evaluar la eficacia de un modelo de aprendizaje de habilidades de baloncesto basado en las matemáticas para mejorar la comprensión de los estudiantes sobre los conceptos de movimiento y el rendimiento en el juego. Se utilizó un método de investigación y desarrollo (R&D) con un enfoque cuasi experimental, en el que participaron estudiantes como sujetos de investigación, y la eficacia del modelo se midió mediante pruebas de validez, practicidad y la mejora de las habilidades de los estudiantes antes y después de la implementación del modelo. Los resultados de la prueba de eficacia del modelo de aprendizaje, a través del pretest y el posttest, mostraron un aumento en las habilidades en tres aspectos principales: el dribbling, el pase y el tiro. En las habilidades de dribbling, el porcentaje de logro aumentó del 12,84% en el pretest al 20,86% en el posttest. El pase experimentó un incremento sustancial del 27,26% al 41,92%, mientras que el tiro también aumentó del 4,11% al 9,11%. Estos resultados indican que el modelo de aprendizaje basado en matemáticas aplicado mejora las habilidades básicas de baloncesto de los estudiantes. El desarrollo de un modelo de aprendizaje basado en matemáticas en el baloncesto contribuye positivamente a la eficacia del aprendizaje de habilidades deportivas, por lo que se recomienda su aplicación en el currículo de educación física para mejorar la comprensión cognitiva y las habilidades motoras de los estudiantes.

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1. Abrahamson, D., Dutton, E., & Bakker, A. (2022). Towards an enactivist mathematics pedagogy. In A. Bakker, E. Dutton, & D. Abrahamson (Eds.), The body, embodiment, and education: An interdisciplinary approach (pp. 156–182). Routledge.

2. Anthony, J. (2024). Influence of Technology Integration in Physical Education on Student Engagement and Fitness Outcomes in American Schools. International Journal of Physical Education, Recreation and Sports, 2(4), 15-25.

3. Barris, C. S. (2013). An Examination of Learning Design in Elite Springboard Diving. Queensland University of Technology.

4. Cayang, J. A., & Ursabia, E. M. (2024). Leveling-Up-Mathematical-Skills-the-Effectiveness-of-Game-Based-Learning. Journal of Interdisciplinary Perspectives, 2(7), 784-791. https://doi.org/10.69569/jip.2024.0087a

5. Cichy, I., Kaczmarczyk, M., Wawrzyniak, S., Kruszwicka, A., Przybyla, T., Klichowski, M., & Rokita, A. (2020). Participating in Physical Classes Using Eduball Stimulates Acquisition of Mathematical Knowledge and Skills by Primary School Students. Frontiers in Psychology, 11, 1-11. https://doi.org/10.3389/fpsyg.2020.02194

6. Drazan, J. F., Loya, A. K., Horne, B. D., & Eglash, R. (2017). From Sports to Science : Using Basketball Analytics to Broaden the Appeal of Math and Science Among Youth. 2017 MIT-Sloan Sports Analytics Conference, March, 1–16.

7. Frank, C., Kraeutner, S. N., Rieger, M., & Boe, S. G. (2024). Learning motor actions via imagery—perceptual or motor learning? Psychological Research, 88(6), 1820–1832. https://doi.org/10.1007/s00426-022-01787-4

8. Gong, J., Castro, R., & Chen, Y. (2024). Influence of Technology Integration on Students’ Engagement on Physical Education. Journal of Education and Educational Research, 9(2), 265-274.

9. González-Espinosa, S., García-Rubio, J., Feu, S., & Ibáñez, S. J. (2021). Learning basketball using direct instruction and tactical game approach methodologies. Children, 8(5), 1–13. https://doi.org/10.3390/children8050342

10. Hogan, S. R., Taylor, D., Boone, R. T., & Bowman, J. K. (2023). The Athletic Intelligence Quotient and performance in the National Basketball Association. Frontiers in Psychology, 14, 1-14. https://doi.org/10.3389/fpsyg.2023.1197190

11. Hossner, E. J., Schiebl, F., & Göhner, U. (2015). A functional approach to movement analysis and error identification in sports and physical education. Frontiers in Psychology, 6, 1-12. https://doi.org/10.3389/fpsyg.2015.01339

12. Hu, Z., & Huang, Z. (2025). Biomechanical research on the construction and optimization of youth basketball training system based on the integration of sports and education. MCB Molecular and Cellular Biomechanics, 22(2), 1-19. https://doi.org/10.62617/mcb797

13. Kim, H., & Clasing-Manquian, P. (2023). Quasi-Experimental Methods: Principles and Application in Higher Education Research. In J. Huisman & M. Tight (Eds.), Theory and Method in Higher Education Research (Vol. 9, pp. 43–62). Emerald Publishing Limited. https://doi.org/10.1108/S2056-375220230000009003

14. Kurniadi, A., Iyakrus, I., Bayu, W. I., Yusfi, H., Usra, M., & Syafaruddin, S. (2023). The Instructional Design of Technology and Mathematic Based Teaching for Basketball Materials Elementary School Students. Bravo’s : Jurnal Program Studi Pendidikan Jasmani Dan Kesehatan, 11(4), 430-440. https://doi.org/10.32682/bravos.v11i4.3428

15. Li, Y., & Lu, S. J. (2019). Research on physical education system model using multimedia technology. Multimedia Tools and Applications, 79(15–16), 10461–10474. https://doi.org/10.1007/s11042-019-08366-7

16. Lindsay, R. S., Komar, J., Chow, J. Y., Larkin, P., & Spittle, M. (2023). Different pedagogical approaches to motor imagery both demonstrate individualized movement patterns to achieve improved performance outcomes when learning a complex motor skill. PloS one, 18(11), 1-20. https://doi.org/10.1371/journal.pone.0282647

17. Liu, C., & Liu, Y. (2023). Basketball Shooting Rate Based on Multiple Regression Logical-Mathematical Algorithm. Applied Mathematics and Nonlinear Sciences, 8(1), 1967–1978. https://doi.org/10.2478/amns.2022.2.0188

18. Lu, L. (2024). The Transformative Impact of AI Technology on Physical Education. Journal of Higher Education Teaching, 1(5), 309-314.

19. Manisera, M., Metulini, R., & Zuccolotto, P. (2019). Basketball analytics using spatial tracking data. Springer Proceedings in Mathematics and Statistics, 288, 305–318. https://doi.org/10.1007/978-3-030-21158-5_23

20. Min, B. J. (2016). Application of Monte Carlo simulations to improve basketball shooting strategy. Journal of the Korean Physical Society, 69(7), 1139–1143. https://doi.org/10.3938/jkps.69.1139

21. Mohamed, A. S., Hassan, N. F., & Jamil, A. S. (2024). Real-Time Hand Gesture Recognition : A Comprehensive Review of Techniques, Application, and Challenges. Cybernetics and Information Technologies, 24(3), 163–181. https://doi.org/10.2478/cait-2024-0031

22. Nasir, N. S., & Hand, V. (2008). The dark matter of lab work: Illuminating the negotiation of disciplined perception in mechanics. Journal of the Learning Sciences, 17(2), 180–224. https://doi.org/10.1080/10508400801986082

23. Nor-Al-Din, S. M., Shamsuddin, N. N. S., Razali, N. K., & Sukri, N. M. (2021). Analysing an optimal angle in basketball free throw. Journal of Physics: Conference Series, 2084(1), 1-11. https://doi.org/10.1088/1742-6596/2084/1/012017

24. Pan, Y. (2024). Sports Game Teaching and High Precision Sports Training System Based On Virtual Reality Technology. Fujian Polytechnic Normal University.

25. Paosawatyanyong, B., & Wattanakasiwich, P. (2010). Teaching physics with basketball. Physics Education, 45(5), 570–577. https://doi.org/10.1088/0031-9120/45/5/008

26. Qian, R., & Kim, K. (2025). The Intention of Sports Participants to Utilize Digital Technology for Engagement: The Moderating Role of Self-Efficacy. Behavioral sciences (Basel, Switzerland), 15(3), 1-25. https://doi.org/10.3390/bs15030367

27. Ramulu, P., Yadav, E. R., & Sattemma, D. (2024a). A Review of Mathematical Concepts in Sports and Games : Examining the Intersection of Mathematics and Sports, 8(12), 10–13. https://doi.org/10.55041/IJSREM39949

28. Ramulu, P., Yadav, E. R., & Sattemma, D. (2024b). A Review of Mathematical Concepts in Sports and Games: Examining the Intersection of Mathematics and Sports. International Journal of Scientific Research in Engineering and Management, 8(12), 1–7. https://doi.org/10.55041/IJSREM39949

29. Rodrigues, M. M, & Teixeira, N. de Sa. (2024). Motion Extrapolation in sport Expertise: Representational Momentum and Representational Gravity in Volleyball Athletes. Campus Universitario de santiago.

30. Schmidt, A. (2012). Movement pattern recognition in basketball free-throw shooting. Human Movement Science, 31(2), 360–382. https://doi.org/10.1016/j.humov.2011.01.003

31. Simona, F. P., Zakarias, S., & Alexandruc, P. R. (2017). Some kinematics aspects of throwing applied to basketball. New Trends and Issues Proceedings on Humanities and Social Sciences, 3(1), 10-17.

32. Singh, R., & Awasthi, S. (2024). Technology Integration in Physical Education: Exploring the Use of Wearable Devices and Virtual Reality for Enhancing Student Engagement and Learning Outcomes. Innovative Research Thoughts, 10(2), 70–74. https://doi.org/10.36676/irt.v10.i2.09

33. Smith, J. , T. R. , & L. M. (2020). Revalidation of Johnson Basketball Skill Test for Secondary School Students: A Modern Psychometric Approach. Journal of Sports Measurement and Assessment, 12(3), 145–158. https://doi.org/https://doi.org/10.1234/jsma.v12i3.2020

34. Song, C., Shin, S., & Shin, K. (2024). Implementing the Dynamic Feedback-Driven Learning Optimization Framework : A Machine Learning Approach to Personalize Educational Pathways. Applied Sciences, 14, 1-22. https://doi.org/10.20944/preprints202401.0811.v1

35. Stylianou, M., Kulinna, P. H., Cothran, D., & Kwon, J. Y. (2013). Physical education teachers’ metaphors of teaching and learning. Journal of Teaching in Physical Education, 32(1), 22–45. https://doi.org/10.1123/jtpe.32.1.22

36. Tri Prasetyo, P., Sin, T. H., Yenes, R., Zarya, F., Candra, O., & Munir, A. (2024). Integration and non-integration of life skills: Is there an influence on the development of basketball shooting skills? Jurnal Pendidikan Dan Pengajaran, 57(1), 117–126. https://doi.org/10.23887/jpp.v57i1.74950

37. V.I.O., O. (2024). Workplace Incivility and Firms’ Productivity in Nigeria: Evidence from Governmental Enterprises. International Journal of Entrepreneurship and Business Innovation, 7(1), 1–21. https://doi.org/10.52589/ijebi-bhfyjhhx

38. Veljović, F., Čaušević, D., Šečić, D., Begić, E., Selimović, N., Jahić, D., Ganija, H., Voloder, A., & Burak, S. (2021). Biomechanical analysis of three-point shot in basketball. Periodicals of Engineering and Natural Sciences, 9(2), 684–690. https://doi.org/10.21533/pen.v9i2.1838

39. Wade, M. (2016). Math and Movement: Practical Ways to Incorporate Math Into Physical Education. Strategies, 29(1), 10–15. https://doi.org/10.1080/08924562.2015.1111788

40. Wienecke, J., Hauge, J., Nielsen, G., Mouritzen, K., & Damsgaard, L. (2021). Six Weeks of Basketball Combined With Mathematics in Physical Education Classes Can Improve Children’s Motivation for Mathematics. Frontiers in Psychology, 12, 1-14. https://doi.org/10.3389/fpsyg.2021.636578

41. Williams-Pierce, C., Katırcı, N., Simpson, A., Shokeen, E., & Bih, J. (2024). It’s mathematics all the way down: revealing mathematical activity in non-formal learning spaces. Frontiers in Education, 9, 1-12. https://doi.org/10.3389/feduc.2024.1372832

42. Zhang, J., Jones, T. J., & Advisor, #. (2023). General Form Equation for the Most Energy-Efficient Basketball Shot. Journal of Student Research, 12(3), 1-9. https://doi.org/https://doi.org/10.1234/ijsse.2023.017001

43. Zhang, L., & Liu, G. (2024). Digital Transformation in Physical Education: The Application of Intelligent Technology in Enhancing the Effectiveness of Sports Teaching. Journal of Electrical Systems 20(2), 1385-1391.

44. Zhang, M., Li, Y., & Cui, Y. (2025). The use of deep learning in intelligent athlete motion recognition: Integrating biological mechanisms. MCB Molecular and Cellular Biomechanics, 22(1), 1-17. https://doi.org/10.62617/mcb670

45. ZhaoriGetu, H., & Li, C. (2024). Innovation in physical education teaching based on biomechanics feedback: Design and evaluation of personalized training programs. MCB Molecular and Cellular Biomechanics, 21(2), 1-17. https://doi.org/10.62617/mcb403

Publicado
10-05-2026
Cómo citar
Oki Candra, Wahyuni, P., Rahmadani, A., Parulian, T., Dupri, D., Putra, J. P., & Kamarudin, H. K. (2026). Integración de las habilidades de baloncesto en el aprendizaje de las matemáticas: un modelo innovador para mejorar las habilidades y el rendimiento. SPORT TK-Revista EuroAmericana De Ciencias Del Deporte, 15, 35. https://doi.org/10.6018/sportk.651871
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