Effectiveness of teaching track running to students specializing in «football» using mobile technologies

Authors

DOI:

https://doi.org/10.15391/si.2025-4.10

Keywords:

mobile technologies, athletics running, student-athletes, kinematic analysis, learning engagement, self-reporting, game sports

Abstract

Purpose. In the context of rapid digitalization of physical education and sport, specialists are increasingly inclined to implement mobile
technologies in educational processes to enhance the effectiveness of physical exercises and student engagement. The study aimed to evaluate
the efficacy of using mobile technologies in distance learning for teaching track and field running technique to student-athletes specializing in
football.
Material and Methods. The study involved 38 student-athletes (28 males, 10 females) from the first year of study. The pedagogical intervention
lasted 8 weeks as part of the academic discipline "Fundamentals of Track and Field in the Chosen Sport." Instruction in sprint and long-distance
running techniques was conducted using online technologies and structured mobile learning, with a key element being self-reporting through
video recording and video analysis. Testing was performed three times (at weeks 1, 8, and 12). Participants completed a high-speed run (10
m sprint) and an endurance run (distance covered in 12 min). Video recordings, captured with smartphone cameras, were analyzed using the
Kinovea 0.9.5 software to determine kinematic parameters (step length, frequency, asymmetry, and coefficient of variation). Additionally,
the quality of technique was assessed using a five-point scale, and engagement in the educational process was measured with a developed questionnaire.
Results. A significant pedagogical effect of teaching track and field running to student-athletes in a mobile format was established. Throughout
the study, significant differences were recorded between the measurements at the first and the 12th weeks for all indicators. Specifically, a reli
able increase in step length and frequency during the sprint was observed, along with a reduction in step asymmetry and variability, indicating
the formation of a more stable and coordinated running technique. The score assessment of sprint and long-distance running technique also sig
nificantly increased. A substantial rise in all components of student engagement (cognitive, behavioral, emotional, and social) was registered.
The highest values for engagement and running technique parameters were achieved in the eighth week.
Conclusions. The high level of learning engagement, achieved through the implementation of mobile technologies, was accompanied by the
formation and stabilization of the running technique in student-athletes. The use of mobile tools, particularly video analysis, allowed for over
coming typical challenges in distance development of motor skills by providing effective feedback and self-monitoring. The sustained high
level of engagement and motor learning after the reduction in mobile interaction intensity confirms the effectiveness of the proposed interven
tion. Future research will focus on studying the efficacy of the mobile learning format for track and field throwing and jumping events.

Author Biographies

Illia Shutieiev, Kharkiv State Academy of Physical Culture

PhD student of the Department of Athletics

Vladyslav Nalushnyi, Kharkiv State Academy of Physical Culture

PhD student of the Department of Football and Hockey

Victor Shalenko, Kharkiv State Academy of Physical Culture

Associate Professor of the Department of Football and Hockey

Рavlo Sheludko, Kharkiv State Academy of Physical Culture

senior lecturer of the Department of Football and Hockey

Andrii Yefremenko, Kharkiv State Academy of Physical Culture

Associate Professor of the Department of Athletics, Candidate of Sciences in Physical Education and Sports

References

Bergdahl, N. (2022). Engagement and disengagement in online learning. Computers & Education, 188, 104561. https://doi.org/10.1016/j.compedu.2022.104561

Bernacki, M. L., Greene, J. A., & Crompton, H. (2020). Mobile technology, learning, and achievement: Advances in understanding and measuring the role of mobile technology in education. Contemporary Educational Psychology, 60, 1–12. https://doi.org/10.1016/j.cedpsych.2019.101827

Boujdi, R., Rouani, A., Lamri, D., Hassouni, T., & Lamrioui, D. (2023). The use of digital technology to improve physical education learning of technical skills: case of sprint running. In 2023 7th IEEE Congress on Information Science and Technology (CiSt) (pp. 467–472). IEEE. https://doi.org/10.1109/CiSt56084.2023.10409911

Daum, D. N., Goad, T., Killian, C. M., & Schoenfeld, A. (2021). How do we do this? Distance learning in physical education – Part 1. Journal of Physical Education, Recreation & Dance, 92(4), 5-10. https://doi.org/10.1080/07303084.2021.1886836

de Oliveira, F. C. L., Fredette, A., Echeverría, S. O., Batcho, C. S., & Roy, J. S. (2019). Validity and reliability of 2-dimensional video-based assessment to analyze foot strike pattern and step rate during running: A systematic review. Sports Health, 11(5), 409-415. https://doi.org/10.1177/1941738119844795

Dereza, M. (2022). Teaching physical education with online instruction on students’ cognitive engagement and performance in physical education. Int. J. Res. Publ, 103. https://doi.org/10.47119/IJRP1001031620223432

Dingenen, B., Barton, C., Janssen, T., Benoit, A., & Malliaras, P. (2018). Test-retest reliability of two-dimensional video analysis during running. Physical therapy in Sport, 33, 40-47. https://doi.org/10.1016/j.ptsp.2018.06.009

Dobre, A. G., & Gheorghe, C. (2021). The optimization of the running technique using video analysis method. In Journal of Physics: Conference Series (Vol. 1746, No. 1, p. 012086). IOP Publishing. https://doi.org/10.1088/1742-6596/1746/1/012086

García, T. C. G., Parada, M. F. B., & Leiva, K. M. R. (2023). Biomechanical analysis of functional movement in athletes using Kinovea. In International Conference on e-Health and Bioengineering (pp. 469477). Springer Nature Switzerland. https://doi.org/10.1007/978-3-03162523-7_52

Goodyear, V. A., Skinner, B., McKeever, J., & Griffiths, M. (2023). The influence of online physical activity interventions on children and young people’s engagement with physical activity: a systematic review. Physical Education and Sport Pedagogy, 28(1), 94-108. https:// doi.org/10.1080/17408989.2021.1953459

Hasanuddin, I., Zainuddin, F., & Haruna, H. (2025). Challenges and effectiveness of online physical education: assessing student engagement, physical activity, and learning outcomes. Journal Physical Education and Outdoor Activity, 1(1), 46-65. https://doi.org/10.36312/jpeoa.v1i1.5

Hastie, P. A., Stringfellow, A., Johnson, J. L., Dixon, C. E., Hollett, N., & Ward, K. (2022). Examining the concept of engagement in physical education. Physical Education and Sport Pedagogy, 27(1), 1-18. https://doi.org/10.1080/17408989.2020.1861231

Hensley, C. P., Kontos, D., Feldman, C., Wafford, Q. E., Wright, A., & Chang, A. H. (2022). Reliability and validity of 2-dimensional video analysis for a running task: A systematic review. Physical Therapy in sport, 58, 16-33. https://doi.org/10.1016/j.ptsp.2022.08.001

Kim, E. J., Kim, J. J., & Han, S. H. (2021). Understanding student acceptance of online learning systems in higher education: Application of social psychology theories with consideration of user innovativeness. Sustainability, 13(2), Article 896. https://doi.org/10.3390/su13020896

Kleitsch, B., & Hodges Kulinna, P. (2022). Tracking student outcomes through instructional choices in physical education. The Physical Educator, 79(5), 491-513. Retrieved from https://doi.org/10.18666/tpe-2022v79-i5-11294

Leo, F. M., Mouratidis, A., Pulido, J. J., López-Gajardo, M. A., & Sánchez Oliva, D. (2022). Perceived teachers’ behavior and students’ engagement in physical education: The mediating role of basic psychological needs and self-determined motivation. Physical Education and Sport Pedagogy, 27(1), 59–76. https://doi.org/10.1080/17408989.2020.1850 667

Lin, W., Zaman, S. I., Jamil, S., & Khan, S. A. (2023). Students engagement in distant learning: How much influence do the critical factors have for success in academic performance?. Psychology in the Schools, 60(7), 2373-2394. https://doi.org/10.1002/pits.22858

Lu, T., Wang, C., Chen, H., Tao, B., Jiang, Y., Sui, H., & Yan, J. (2022). Relationship between university students’ physical activity and mobile phone dependence: Mediating effect of subjective well-being and moderating effect of psychological capital. Frontiers in Psychology, 13, 1–14. https://doi.org/10.3389/fpsyg.2022.983487

Mason, R., Pearson, L.T., Barry, G. (2023). Wearables for Running Gait Analysis: A Systematic Review. Sports Med 53, 241–268. https://doi.org/10.1007/s40279-022-01760-6

Mayer, R. E. (2020). Where is the learning in mobile technologies for learning? Contemporary Educational Psychology, 60, 1–8. https://doi.org/10.1016/j.cedpsych.2019.101824 [in English]

Mdhlalose, D. (2024). The efficacy of virtual physical education and its contribution to raising learners’ interest and engagement levels. Physical Education and Sports: Studies and Research, 3(2), 96-115. https://doi.org/10.56003/pessr.v3i2.364

Laughlin, M. K., Hodges, M., & Iraggi, T. (2019). Deploying video analysis to boost instruction and assessment in physical education. Journal of Physical Education, Recreation & Dance, 90(5), 23-29. https://doi.org/10.1080/07303084.2019.1580637 [in English]

Mohammad Pour Koli, M., & Fatahi, A. (2024). Modern approaches in sport biomechanics: A Review Paper. Journal of Sport Biomechanics, 9(4), 284–300. https://doi.org/10.61186/JSportBiomech.9.4.284 [in English]

Otero-Saborido, F. M., Torreblanca-Martínez, V., & González-Jurado, J. A. (2021). Systematic review of self-assessment in physical education. International journal of environmental research and public health, 18(2), 766. https://doi.org/10.3390/ijerph18020766 [in English]

Palacios-Campaña, E. O., & Mocha-Bonilla, J. A. (2023). Biomechanical analysis of the gait in the motor coordination of higher basic education students. In International Conference on Computer Science, Electronics and Industrial Engineering (CSEI) (pp. 180–190). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-70981-4_13 [in English]

Pipkin, A., Kotecki, K., Hetzel, S., & Heiderscheit, B. (2016). Reliability of a qualitative video analysis for running. Journal of orthopaedic & sports physical therapy, 46(7), 556-561. https://doi.org/10.2519/jospt.2016.6280 [in English]

Popa, V., Sandor, I., Ciocoi-Pop, D. R., Isidori, E., & Leonova, I. (2024). Data extraction using Kinovea for accessible on-site biomechanical analysis. In Shifting from Macro to Micro (Micro-Learning and Microcredentials). Else Conference 2023 (Vol. 2, pp. 71–80). Advanced Distributed Learning Association. https://iris.uniroma4.it/handle/20.500.14244/9484 [in English]

Priyambada, G., Prayoga, A. S., Utomo, A. W. B., Saputro, D. P., & Hartono, R. (2022). Sports app: digitalization of sports basic movement. International Journal of Human Movement and Sports Sciences, 10(1), 85–89. https://doi.org/10.13189/saj.2022.100112 [in English]

Salta, K., Paschalidou, K., Tsetseri, M.(2022). Shift from a traditional to a distance learning environment during the COVID-19 Pandemic. Sci & Educ, 31, 93–122/ https://doi.org/10.1007/s11191-021-00234-x [in English]

Turan, S., Yaman, M. S., Genc, H. I., Donmez, A., Herguner, G., & Yaman, Ç. (2022). Predictive of perceived learning: academic motivation and attitudes to mobile learning. Turkish Online Journal of Educational Technology-TOJET, 21(1), 106–113. http://files.eric.ed.gov/fulltext/EJ1337743.pdf [in English]

Zulkifli, A. F., & Danis, A. (2022). Technology in physical education: Using movement analysis application to improve feedback on sports skills among undergraduate physical education students. Social Sciences & Humanities Open, 6(1), Article 100350. https://doi.org/10.1016/j.ssaho.2022.100350 [in English]

Published

2025-11-01

How to Cite

Shutieiev, I. ., Nalushnyi, V. ., Shalenko, V., Sheludko Р., & Yefremenko, A. . (2025). Effectiveness of teaching track running to students specializing in «football» using mobile technologies. Sports Games, (4(38), 76–86. https://doi.org/10.15391/si.2025-4.10

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