Enhancing students’ engagement and motivation in physical education: the role of fitness tracker apps
Keywords:
Digital competence, physical education, teaching innovation, technology adoptionAbstract
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
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
How to Cite
Issue
Section
Copyright (c) 2024 Fika Nuraini Rusmitaningsih, Herman Subarjah, Yusi Riksa Yustiana , Deddy Rahmat Saputra

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
This is an open-access article distributed under the terms of the Creative Commons Attribution-ShareAlike 4.0 International License which permits unrestricted use, distribution, and reproduction in any medium. Users are allowed to read, download, copy, distribute, search, or link to full-text articles in this journal without asking by giving appropriate credit, provide a link to the license, and indicate if changes were made. All of the remix, transform, or build upon the material must distribute the contributions under the same license as the original.
Accepted 2024-11-03
Published 2024-12-20