The mobile learning technique for measuring internal intensity in recreational basketball

Authors

  • Alejandro Sánchez-Lima Municipal Sports School, 06380 Jerez de los Caballeros, Spain.
  • Miguel Ángel Pérez-Toledano Department of Computer Science, Quercus Software Engineering Group, University of Extremadura, 10003 Cáceres, Spain. https://orcid.org/0000-0002-9417-9974
  • Santos Villafaina Physical Activity and Quality of Life Research Group (AFYCAV), Faculty of Sport Sciences, University of Extremadura, Av. de la Universidad s/n, 10003 Cáceres, Spain. https://orcid.org/0000-0003-0784-1753
  • Juan Manuel García-Ceberino Faculty of Education and Psychology, University of Extremadura, Av. de Elvas s/n, 06006 Badajoz, Spain / Optimization of Training and Sports Performance Research Group (GOERD), Faculty of Sport Sciences, University of Extremadura, Av. de la Universidad s/n, 10003 Cáceres, Spain. https://orcid.org/0000-0002-2922-4935

DOI:

https://doi.org/10.6018/sportk.632881

Keywords:

Constraint, Game Situation, Game Space, Heart Rate, Perceived Effort

Abstract

Coaches seek to identify the task constraints that compel players to exert greater effort to enhance performance. This empirical, cross-sectional study, conducted using a single-case manipulative strategy, compared the internal intensities elicited by different tasks (i.e., 1 vs. 1, 2 vs. 2, 3 vs. 3, 4 vs. 4, and 5 vs. 5) in recreational basketball using a mobile learning technique during a session of increasing complexity. In addition, perceived effort was analysed. It involved 59 players (34 boys and 25 girls; mean age = 14.61±1.78 years) from a public institution in the southwest of Spain. Intensities measured included heart rate, monitored via smartphones, and perceived effort, assessed using a pictorial-curvilinear scale. The correlation between both measures of intensities was calculated using Pearson's correlation, revealing positive correlations in the training tasks (p<0.05). Tukey's post hoc test revealed no statistically significant differences (p>0.05) in heart rate between the 3vs.3 in ½ court and 4vs.4 with space repetition compared to the 5vs.5 game. Both tasks should be incorporated in training as they elicited physiological demands similar to those in a competition situation.

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References

1. Ato, M., López, J. J., & Benavente, A. (2013). Un sistema de clasificación de los diseños de investigación en psicología. Anales de Psicología, 29(3), 1039-1059. https://doi.org/10.6018/analesps.29.3.178511

2. Barrett, S., Midgley, A. W., Towlson, C., Garrett, A., Portas, M., & Lovell, R. (2016). Within-match PlayerLoad™ patterns during a simulated soccer match: Potential implications for unit positioning and fatigue management. International Journal of Sports Physiology and Performance, 11(1), 135-140. https://doi.org/https://doi.org/10.1123/ijspp.2014-0582

3. Blázquez, D., & Hernández, J. (1984). Clasificación o taxonomías deportivas. INEF.

4. Borg, G. (1998). Borgʹs Perceived Exertion and Pain Scales. Human Kinetics.

5. Bouet, M. (1968). Signification du sport. Editions Universitaires.

6. Bourdon, P. C., Cardinale, M., Murray, A., Gastin, P., Kellmann, M., Varley, M. C., Gabbett, T. J., Coutts, A. J., Burgess, D. J., Gregson, W., & Cable, N. T. (2017). Monitoring Athlete Training Loads: Consensus Statement. International Journal of Sports Physiology and Performance, 12, 2161–2170. https://doi.org/10.1123/IJSPP.2017-0208

7. Burgess D. J. (2017). The Research Doesn't Always Apply: Practical Solutions to Evidence-Based Training-Load Monitoring in Elite Team Sports. International Journal of Sports Physiology and Performance, 12, 2136–2141. https://doi.org/10.1123/ijspp.2016-0608

8. Coyne, J. O., Gregory Haff, G., Coutts, A. J., Newton, R. U., & Nimphius, S. (2018). The current state of subjective training load monitoring—a practical perspective and call to action. Sports Medicine-Open, 4, 1-10. https://doi.org/10.1186/s40798-018-0172-x

9. Drinkwater, E. J., Pyne, D. B., & McKenna, M. J. (2008). Design and interpretation of anthropometric and fitness testing of basketball players. Sports Medicine, 38(7), 565-578. https://doi.org/10.2165/00007256-200838070-00004

10. Durand, G. (1968). El adolescente y los deportes. Plaideia.

11. Eston, R. G., & Parfitt, C. G. (2007). Effort Perception. In N. Armstrong (Ed.), Paediatric Exercise Physiology (pp. 275-297). Elsevier. https://doi.org/10.1016/B978-0-443-10260-8.50017-5

12. Feu, S., García-Ceberino, J. M., López-Sierra, P., & Ibáñez, S. J. (2023). Training to Compete: Are Basketball Training Loads Similar to Competition Achieved? Applied Sciences, 13(22), 1-15. https://doi.org/10.3390/app132212512

13. Field, A. (2013). Discovering statistics using IBM SPSS statistics (4th ed.). Sage Publications Ltd.

14. Figueiredo de Souza, W. J., Clemente, F. M., de Oliveira Goulart, K. N., Teixeira Costa, G. D. C., Cunha, P. E. S., Figueiredo, L. S., Laporta, L. L., Reverdito, R. S., Leonardi, T. J., & de Oliveira Castro, H. (2024). Tactical and Technical Performance in Basketball Small-Sided Games: A Systematic Review. Retos, 56, 554-566. https://doi.org/https://doi.org/10.47197/retos.v56.104564

15. García-Ceberino, J. M., Feu, S., Antúnez, A., & Ibáñez, S. (2021). Organization of Students and Total Task Time: External and Internal Load Recorded during Motor Activity. Applied Sciences, 11(22), 1-22. https://doi.org/https://doi.org/10.3390/app112210940

16. García-Ceberino, J. M., Gamero, M. G., Ibáñez, S. J., & Feu, S. (2022). Are Subjective Intensities Indicators of Player Load and Heart Rate in Physical Education? Healthcare, 10(3), 1-14. https://doi.org/https://doi.org/10.3390/healthcare10030428

17. Ibáñez, S. J., Feu, S., & Cañadas, M. (2016). Sistema integral para el análisis de las tareas de entrenamiento, SIATE, en deportes de invasión. E-balonamo Com, 12(1), 3-30.

18. Köklü, Y., Alemdaroğlu, U., Aksoy, İ., & Gürmen, İ. (2017). Comparison of physiological responses and technical actions in full-court games in young basketball players. Science & Sports, 32(6), 215-220. https://doi.org/10.1016/j.scispo.2017.05.005

19. Li, K., Cardoso, C., Moctezuma-Ramirez, A., Elgalad, A., & Perin, E. (2023). Heart Rate Variability Measurement through a Smart Wearable Device: Another Breakthrough for Personal Health Monitoring?. International Journal of Environmental Research and Public Health, 20(24), 1-24. https://doi.org/10.3390/ijerph20247146

20. López-Laval, I., Cirer-Sastre, R., Sitko, S., Corbi, F., Vaquera, A., & Calleja-González, J. (2022). Relationship between methodologies for load control in professional basketball. Revista Internacional de Medicina y Ciencias de la Actividad Física y del Deporte, 22(87), 649-661. https://doi.org/https://doi.org/10.15366/rimcafd2022.87.014

21. Lupo, C., Tessitore, A., Gasperi, L., & Gomez, M. A. R. (2017). Session-RPE for quantifying the load of different youth basketball training sessions. Biology of Sport, 34(1), 11-17. https://doi.org/10.5114/biolsport.2017.63381

22. Mancha-Triguero, D., García-Rubio, J., & Ibañez, S. J. (2019). Batería de test de campo para evaluar la condición física de jugadores de baloncesto: SBAFIT. E-balonamo Com, 15(2), 107-126.

23. Mujika, I. (2013). The Alphabet of Sport Science Research Starts with Q. International Journal of Sports Physiology and Performance, 8(5), 465-466. https://doi.org/https://doi.org/10.1123/ijspp.8.5.465

24. Perez-Siguas, R., Matta-Solis, H., Matta-Solis, E., Matta-Perez, H., Remuzgo-Artezano, A., Perez-Siguas, L., & Meneses-Claudio, B. (2023). Oxygen Saturation and Heart Rate Monitoring System by Mobile. International Journal on Recent and Innovation Trends in Computing and Communication, 11(7), 235-239. https://doi.org/https://doi.org/10.17762/ijritcc.v11i7.7902

25. Reina, M., García-Rubio, J., Esteves, P. T., & Ibáñez, S. J. (2020). How external load of youth basketball players varies according to playing position, game period and playing time. International Journal of Performance Analysis in Sport, 20(6), 917-930. https://doi.org/https://doi.org/10.1080/24748668.2020.1818973

26. Reina, M., González-Espinosa, S., Cañadas, M., & Ibáñez, J. S. (2018). Análise das variáveis pedagógicas nas tarefas de small sided games e full game no basquetebol. Corpoconsciência, 22(2), 1-13.

27. Reina, M., Mancha‐Triguero, D., García‐Santos, D., García‐Rubio, J., & Ibáñez, S. J. (2019). Comparación de tres métodos de cuantificación de la carga de entrenamiento en baloncesto. Revista Internacional de Ciencias del Deporte, 15(58), 368-382. https://doi.org/10.5232/ricyde2019.05805

28. Sansone, P., Tessitore, A., Lukonaitiene, I., Paulauskas, H., Tschan, H., & Conte, D. (2020). Technical-tactical profile, perceived exertion, mental demands and enjoyment of different tactical tasks and training regimes in basketball small-sided games. Biology of Sport, 37(1), 15-23. https://doi.org/10.5114/biolsport.2020.89937

29. Saw, A. E., Main, L. C., & Gastin, P. B. (2016). Monitoring the athlete training response: Subjective self-reported measures trump commonly used objective measures: a systematic review. British Journal of Sports Medicine, 50(5), 281-291. https://doi.org/https://doi.org/10.1136/bjsports-2015-094758

30. Schelling, X. (2012). Exigencia en baloncesto: Carga externa e interna. Deportes, Salud y Entrenamiento, 11, 6-23.

31. Staunton, C. A., Abt, G., Weaving, D., & Wundersitz, D. W. T. (2022). Misuse of the term 'load' in sport and exercise science. Journal of Science and Medicine in Sport, 25(5), 439-444. https://doi.org/10.1016/j.jsams.2021.08.013

32. Stojanović, E., Stojiljković, N., Stanković, R., Scanlan, A. T., Dalbo, V. J., & Milanović, Z. (2021). Recreational basketball small-sided games elicit high-intensity exercise with low perceptual demand. The Journal of Strength Conditioning Research, 35(11), 3151-3157. https://doi.org/10.1519/JSC.0000000000003306

33. The jamovi project. (2022). jamovi (Version 2.3) [Computer software]. https://www.jamovi.org

34. Ubago, J. L., Molero, P. P., Valero, G. G., Ibáñez, E. M., Janer, M. V., & Caballero, M. O. (2022). Uso de los dispositivos móviles (Mhealth) en la práctica deportiva en adolescentes. Revista de Psicología, 1(1), 165-170. https://doi.org/https://doi.org/10.17060/ijodaep.2022.n1.v1.2340

35. Vaquera, A., Suárez-Iglesias, D., Guiu, X., Barroso, R., Thomas, G., & Renfree, A. (2018). Physiological responses to and athlete and coach perceptions of exertion during small-sided basketball games. The Journal of Strength & Conditioning Research, 32(10), 2949-2953. https://doi.org/10.1519/JSC.0000000000002012

36. Weaving, D., Jones, B., Till, K., Abt, G., & Beggs, C. (2017). The case for adopting a multivariate approach to optimize training load quantification in team sports. Frontiers in Physiology, 8, 1-3. https://doi.org/https://doi.org/10.3389/fphys.2017.01024

37. World Health Organization. (January 20, 2022). Physical activity. https://www.who.int/health-topics/physical-activity#tab=tab_1

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Published

20-04-2026

How to Cite

Sánchez-Lima, A., Pérez-Toledano, M. Ángel, Villafaina, S., & García-Ceberino, J. M. (2026). The mobile learning technique for measuring internal intensity in recreational basketball. SPORT TK-EuroAmerican Journal of Sport Sciences, 15, 24. https://doi.org/10.6018/sportk.632881

Issue

Vol. 15 (2026)

Section

Articles

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