Enhancing students’ engagement and motivation in physical education: the role of fitness tracker apps

https://doi.org/10.25299/esijope.2024.vol5(3).17215

Authors

  • Fika Nuraini Rusmitaningsih Department of Sports Education, School of Postgraduate Studies, Universitas Pendidikan Indonesia, Bandung, Indonesia
  • Herman Subarjah Department of Sports Education, School of Postgraduate Studies, Universitas Pendidikan Indonesia, Bandung, Indonesia
  • Yusi Riksa Yustiana Department of Sports Education, School of Postgraduate Studies, Universitas Pendidikan Indonesia, Bandung, Indonesia
  • Deddy Rahmat Saputra Department of Sports Education, School of Postgraduate Studies, Universitas Pendidikan Indonesia, Bandung, Indonesia

Keywords:

Digital competence, physical education, teaching innovation, technology adoption

Abstract

Background: The integration of technology in physical education (PE) has gained increasing attention for its potential to enhance student engagement and motivation. Fitness tracker applications, available on smartphones and wearables, offer innovative solutions for real-time feedback, activity monitoring, and motivational support. Research Objective: This study evaluates eleventh-grade students' perceptions of the effectiveness of fitness tracker apps in enhancing engagement and motivation in PE. Methods: The study was conducted with 60 students (30 males and 30 females) at Vocational High School 3 Tegal, Central Java, Indonesia. A mixed-methods approach was employed, combining quantitative data from structured questionnaires and fitness trackers with qualitative insights from semi-structured interviews and direct observations. Quantitative data were analysed using descriptive statistics and paired t-tests, while thematic analysis was applied to the qualitative data.  Finding/Results: The quantitative results indicated significant improvements in student engagement, motivation, and awareness of physical fitness, with increased frequency of app usage and higher motivation to exercise (p < 0.05). Qualitative analysis revealed that students appreciated the real-time feedback and motivational features of the apps, which enhanced their overall enjoyment and commitment to physical activities. However, technical challenges such as data synchronisation issues and difficulties with initial setup were consistently reported by participants. Conclusion: Fitness tracker applications hold significant potential to enhance student engagement and motivation in PE. The relatively small sample size (60 students) may limit the generalisability of the findings. Future research should address this limitation by incorporating larger samples and exploring solutions to technical challenges.

Downloads

Download data is not yet available.

Author Biographies

Fika Nuraini Rusmitaningsih, Department of Sports Education, School of Postgraduate Studies, Universitas Pendidikan Indonesia, Bandung, Indonesia

Email: [email protected]

https://orcid.org/0009-0006-8968-2969

mceclip0-3fd9fb0187b7fabe916aac5eafd75f1f.png

Herman Subarjah, Department of Sports Education, School of Postgraduate Studies, Universitas Pendidikan Indonesia, Bandung, Indonesia

Email: [email protected]

https://orcid.org/0000-0002-0107-4525

mceclip1-a3b9bec5084c40f0da9755e11fcca1e9.png

Yusi Riksa Yustiana, Department of Sports Education, School of Postgraduate Studies, Universitas Pendidikan Indonesia, Bandung, Indonesia

Email: [email protected]

https://orcid.org/0000-0002-0599-4599

mceclip2-a339d51b93ba790761eb9230fbdb9c6a.png

Deddy Rahmat Saputra, Department of Sports Education, School of Postgraduate Studies, Universitas Pendidikan Indonesia, Bandung, Indonesia

Email: [email protected]

https://orcid.org/0009-0003-9518-5182

mceclip3-2a71663fe519ca2358d38b5b73e81dd7.png

References

Abdelhamid, M. (2021). Fitness Tracker Information and Privacy Management: Empirical Study. Journal of Medical Internet Research, 23(11), e23059. https://doi.org/10.2196/23059

Alvarez, G., Sanabria, G., Jia, H., Cho, H., Reynolds, N. R., Gradilla, M., Olender, S., Mohr, D. C., & Schnall, R. (2023). Do Walk Step Reminders Improve Physical Activity in Persons Living With HIV in New York City?—Results From a Randomized Clinical Trial. Journal of the Association of Nurses in AIDS Care, 34(6), 527-537. https://doi.org/10.1097/JNC.0000000000000427

Arufe-Giráldez, V., Sanmiguel-Rodríguez, A., Patón, R. N., & Navarro-Patón, R. (2022). Gamification in Physical Education: A Systematic Review. Education Sciences, 12(8), 540. https://doi.org/10.3390/educsci12080540

Baer, N.-R., Vietzke, J., & Schenk, L. (2022). Middle-Aged and Older Adults’ Acceptance of Mobile Nutrition and Fitness Apps: A Systematic Mixed Studies Review. Plos One, 17(12), e0278879. https://doi.org/10.1371/journal.pone.0278879

Barkley, J. E., Farnell, G., Boyko, B., Turner, B., & Wiet, R. (2021). Impact of Activity Monitoring on Physical Activity, Sedentary Behavior, and Body Weight During the COVID-19 Pandemic. International Journal of Environmental Research and Public Health, 18(14), 7518. https://doi.org/10.3390/ijerph18147518

Ben, H., Wang, L., Ma, Z., & Yang, J. (2022). Design of College Physical Education Curriculum Based on Mobile App Development Platform. Wireless Communications and Mobile Computing, 2022, 1-10. https://doi.org/10.1155/2022/9746549

Camacho-Sánchez, R., León, A. M., Rodríguez-Ferrer, J. M., Serna, J., & Burgués, P. L. (2023). Game-Based Learning and Gamification in Physical Education: A Systematic Review. Education Sciences, 13(2), 183. https://doi.org/10.3390/educsci13020183

Cao, C., Zhao, X., & Hopfgartner, F. (2022). Enhancing Chinese International Students’ Motivation and Engagement in a STEM Subject in UK Higher Education: A Case of Gamification in Programming. https://doi.org/10.1145/3572549.3572551

Carpenter, C. A., Ugwoaba, U. A., Cardel, M., & Ross, K. (2022). Using Self-Monitoring Technology for Nutritional Counseling and Weight Management. Digital Health, 8, 205520762211027. https://doi.org/10.1177/20552076221102774

Chaloupsky, D., Chaloupská, P., & Hrusova, D. (2020). Use of Fitness Trackers in a Blended Learning Model to Personalize Fitness Running Lessons. Interactive Learning Environments, 29(2), 213-230. https://doi.org/10.1080/10494820.2020.1799027

Chen, H., Schoefer, K., Manika, D., & Tzemou, E. (2024). The “Dark Side” of General Health and Fitness-Related Self-Service Technologies: A Systematic Review of the Literature and Directions for Future Research. Journal of Public Policy & Marketing, 43(2), 151-170. https://doi.org/10.1177/07439156231224731

Chlebowy, D. O., Coty, M.-B., Lauf, A. P., Krishnasamy, S., Myers, J., & Jaggers, J. R. (2021). Mobile App Use in Adults with Comorbid Type 2 Diabetes and Depression. Western Journal of Nursing Research, 019394592098879. https://doi.org/10.1177/0193945920988791

Citro, C. M., Kesumaningsari, N. P. A., & Setiawan, Y. Y. (2024). Guiding the Path: Exploring the Contribution of Career-Specific Parenting Practices on Career Decision Self-Efficacy Among Vocational High School Students. Journal of Educational Health and Community Psychology, 13(1), 264-286. https://doi.org/10.12928/jehcp.v13i1.28500

Deci, E. L., & Ryan, R. M. (2000). The “What” and “Why” of Goal Pursuits: Human Needs and the Self-Determination of Behavior. Psychological Inquiry, 11(4), 227-268. https://doi.org/10.1207/s15327965pli1104_01

Gil-Espinosa, F. J., Nielsen-Rodríguez, A., Romance, R., & Burgueño, R. (2022). Smartphone Applications for Physical Activity Promotion from Physical Education. Education and Information Technologies, 27(8), 11759-11779. https://doi.org/10.1007/s10639-022-11108-2

Gumilang, E. S., Martini, T., & Budiana, D. (2022). Self-Regulated Learning Based-Stem Model: How It Impacts Students’ Self-Directed Learning in Physical Education Classes. Journal Sport Area, 7(3), 466-473. https://doi.org/10.25299/sportarea.2022.vol7(3).10550

Guo, J. (2022). Influencing Factors of College Students’ Use of Sports Apps in Mandatory Situations: Based on UTAUT and SDT. BioMed Research International, 2022, 1-12. https://doi.org/10.1155/2022/9378860

Ha, L., Wakefield, C. E., Mizrahi, D., Diaz, C., Cohn, R. J., Signorelli, C., Yacef, K., & Simar, D. (2022). A Digital Educational Intervention with Wearable Activity Trackers to Support Health Behaviors among Childhood Cancer Survivors: Pilot Feasibility and Acceptability Study. JMIR Cancer, 8(3), e38367. https://doi.org/10.2196/38367

Henriksen, A., Johannessen, E., Hartvigsen, G., Grimsgaard, S., & Hopstock, L. A. (2021). Consumer-Based Activity Trackers as a Tool for Physical Activity Monitoring in Epidemiological Studies During the COVID-19 Pandemic: Development and Usability Study. Jmir Public Health and Surveillance, 7(4), e23806. https://doi.org/10.2196/23806

Jastrow, F., Greve, S., Thumel, M., Diekhoff, H., & Süßenbach, J. (2022). Digital Technology in Physical Education: A Systematic Review of Research From 2009 to 2020. German Journal of Exercise and Sport Research, 52(4), 504-528. https://doi.org/10.1007/s12662-022-00848-5

Jembai, J. V. J., Wong, Y. L. C., Bakhtiar, N. A. M. A., Lazim, S. N. M., Ling, H. S., Kuan, P. X., & Chua, P. F. (2022). Mobile Health Applications: Awareness, Attitudes, and Practices among Medical Students in Malaysia. BMC Medical Education, 22(1), 544. https://doi.org/10.1186/s12909-022-03603-4

Kalgotra, P., Raja, U., & Sharda, R. (2022). Growth in the Development of Health and Fitness Mobile Apps Amid COVID-19 Pandemic. Digital Health, 8, 205520762211290. https://doi.org/10.1177/20552076221129070

Khan, M. A., Vivek, V., Nabi, M. K., Khojah, M., & Tahir, M. (2020). Students’ Perception Towards E-Learning during COVID-19 Pandemic in India: an Empirical Study. Sustainability, 13(1), 57. https://doi.org/10.3390/su13010057

Kononova, A., Li, L., Kamp, K., Bowen, M. D., Rikard, R. V, Cotten, S. R., & Peng, W. (2019). The Use of Wearable Activity Trackers among Older Adults: Focus Group Study of Tracker Perceptions, Motivators, and Barriers in the Maintenance Stage of Behavior Change. Jmir Mhealth and Uhealth, 7(4), e9832. https://doi.org/10.2196/mhealth.9832

Kounoudes, A. D., Kapitsaki, G. M., & Katakis, I. (2023). Enhancing User Awareness on Inferences Obtained from Fitness Trackers Data. User Modeling and User-Adapted Interaction, 33(4), 967-1014. https://doi.org/10.1007/s11257-022-09353-8

Laranjo, L., Ding, D., Heleno, B., Kocaballi, B., Quiroz, J. C., Tong, H. L., Chahwan, B., Neves, A. L., Gabarron, E., Dao, K. P., Rodrigues, D., Neves, G. C., Antunes, M. L., Coiera, E., & Bates, D. W. (2021). Do Smartphone Applications and Activity Trackers Increase Physical Activity in Adults? Systematic Review, Meta-Analysis and Metaregression. British Journal of Sports Medicine, 55(8), 422-432. https://doi.org/10.1136/bjsports-2020-102892

Lozano, A., & Izquierdo, J. (2019). Technology in Second Language Education: Overcoming the Digital Divide. Emerging Trends in Education, 2(3). https://doi.org/10.19136/etie.a2n3.3250

Luo, X., Liu, L., & Li, J. (2022). The Effects of ARCS Motivational Instruction in Physical Education on Learning Cognition and the Health-Related Physical Fitness of Students. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.786178

Manzotti, A., Zanini, S., Colaceci, S., Giovannini, N., Antonioli, A., Ziglioli, A., & Frontani, F. (2022). Cross-Cultural Adaptation and Validation of the Pregnancy Mobility Index for the Italian Population: A Cross-Sectional Study. Healthcare, 10(10), 1971. https://doi.org/10.3390/healthcare10101971

McCormack, G. R., Petersen, J., Ghoneim, D., Blackstaffe, A., Naish, C., & Doyle-Baker, P. K. (2022). Effectiveness of an 8-Week Physical Activity Intervention Involving Wearable Activity Trackers and an eHealth App: Mixed Methods Study. JMIR Formative Research, 6(5), e37348. https://doi.org/10.2196/37348

Monazami, A., Karami, F., & Shahbazi, M. (2020). Evaluación De La Calidad De La Educación Física en La Ciudad De Shahriar Según El Modelo SERVQUAL. Sport Tk-Revista Euroamericana De Ciencias Del Deporte, 125-128. https://doi.org/10.6018/sportk.431211

Patterson, K., Keegan, R., Davey, R., & Freene, N. (2024). Implementing a Sedentary Behavior Change Smartphone App in Cardiac Rehabilitation. Journal of Cardiovascular Nursing, 39(1), E12–E20. https://doi.org/10.1097/JCN.0000000000000983

Rodríguez, F., Fernández, J. G., Torrente, M. V., García, A. B., Ruíz, P. G., & Angosto-Sánchez, S. (2023). Importance-Performance Analysis in Fitness Apps. A Study from the Viewpoint of Gender and Age. Frontiers in Public Health, 11. https://doi.org/10.3389/fpubh.2023.1226888

Schoeppe, S., Waters, K., Salmon, J., Williams, S. L., Power, D., Alley, S., Rebar, A. L., Hayman, M., Duncan, M. J., & Vandelanotte, C. (2023). Experience and Satisfaction with a Family-Based Physical Activity Intervention Using Activity Trackers and Apps: A Qualitative Study. International Journal of Environmental Research and Public Health, 20(4), 3327. https://doi.org/10.3390/ijerph20043327

Shang, C., Moss, A. C., & Chen, A. (2023). The Expectancy-Value Theory: A Meta-Analysis of its Application In Physical Education. Journal of Sport and Health Science, 12(1), 52-64. https://doi.org/10.1016/j.jshs.2022.01.003

Tong, H. L., Maher, C., Parker, K., Pham, T. D., Neves, A. L., Riordan, B. C., Chow, C. K., Laranjo, L., & Quiroz, J. C. (2022). The Use of Mobile Apps and Fitness Trackers to Promote Healthy Behaviors During COVID-19: A Cross-Sectional Survey. Plos Digital Health, 1(8), e0000087. https://doi.org/10.1371/journal.pdig.0000087

Üstün, Ü. D. (2018). Participation Motivation in University Students Who Engage in Different Team Sports. World Journal of Education, 8(3), 12. https://doi.org/10.5430/wje.v8n3p12

Vieira, W. de O., Ostolin, T. L. V. di P., Simões, M. do S. M. P., Proença, N. L., & Dourado, V. Z. (2022). Profile of Adults Users of Smartphone Applications for Monitoring the Level of Physical Activity and Associated Factors: A Cross-Sectional Study. Frontiers in Public Health, 10. https://doi.org/10.3389/fpubh.2022.966470

Wang, Y., & Du, P. (2023). Analysis of College Students’ Social Anxiety and Fitness APP Based on Structural Equation Model in Information Age. In S. Jin & W. Dai (Eds.), Second International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2022) (p. 29). SPIE. https://doi.org/10.1117/12.2671932

Wons, O., Lampe, E., Patarinski, A. G., Schaumberg, K., Butryn, M., & Juarascio, A. (2022). Perceived Influence of Wearable Fitness Trackers on Eating Disorder Symptoms in A Clinical Transdiagnostic Binge Eating and Restrictive Eating Sample. Eating and Weight Disorders - Studies on Anorexia, Bulimia and Obesity, 27(8), 3367-3377. https://doi.org/10.1007/s40519-022-01466-8

Younas, A., Fàbregues, S., & Creswell, J. W. (2023). Generating Metainferences in Mixed Methods Research: A Worked Example in Convergent Mixed Methods Designs. Methodological Innovations, 16(3), 276-291. https://doi.org/10.1177/20597991231188121

Published

2024-12-20

How to Cite

Rusmitaningsih, F. N., Subarjah, H., Yustiana, Y. R., & Saputra, D. R. (2024). Enhancing students’ engagement and motivation in physical education: the role of fitness tracker apps. Edu Sportivo: Indonesian Journal of Physical Education , 5(3), 274–288. https://doi.org/10.25299/esijope.2024.vol5(3).17215
Received 2024-05-26
Accepted 2024-11-03
Published 2024-12-20

Similar Articles

1 2 3 4 5 6 7 8 9 10 > >> 

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