Damrah¹, Willadi Rasyid¹, Pitnawati¹, Anton Komaini², Deby Tri Mario³, Zulbahri¹

¹Universitas Negeri Padang, Department of Sports Education, Faculty of Sports Science, Indonesia
²Universitas Negeri Padang, Department of Health & Recreation, Faculty of Sports Science, Indonesia
³Universitas Negeri Padang, Doctoral Program of Sports Science, Faculty of Sports Science, Indonesia

Digital-Based E-module in Tennis Learning for Undergraduate Students in Sports Education

Sport Mont 2024, 22(1), 43-51 | DOI: 10.26773/smj.240207

Abstract

Although many studies have examined the use of e-modules for physical education at school and university levels, very few explore the development of digital-based e-modules in tennis learning. This research aims to develop a digital-based e-module in tennis learning for undergraduate sports education students. It was conducted using the Research and Development (R&D) design by adopting the Plomp model. The model consists of preliminary research, prototyping, and assessment phases. This research invited 12 experts, consisting of 4 material experts, 4 language experts, and 4 media experts. The experts were professors and lecturers with profound expertise in their respective fields. This research also involved 35 sports education undergraduate students taking tennis courses, consisted of males (n=25) and females (n=10). The instrument was a Likert scale questionnaire. Validity testing was measured using Aiken’s V validity coefficient. The reliability was calculated using Intraclass Correlation Coefficients (ICC), while product practicality was analyzed using percentages. The results show that the average product validity before and after revision was 0.790 (medium) and 0.904 (high), while the average reliability was 0.754 (high). In terms of practicality, the average was 89.71, which means the product is very practical. In conclusion, digital-based e-modules in tennis learning can be used for undergraduate sports education students. This research is expected to facilitate undergraduate sports education students, lecturers, and tennis practitioners to overcome limitations in teaching tennis. Future research is needed to test the product’s effectiveness by conducting an experimental design and comparing it with other groups.

Keywords

content validity, instruments, technology, higher education

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References

Aiken, L. R. (1985). Three coefficients for analyzing the reliability and validity of ratings. Educational and Psychological Measurement, 45(1), 131–142. https://doi.org/10.1177/0013164485451012

Almanasreh, E., Moles, R., & Chen, T. F. (2019). Evaluation of methods used for estimating content validity. Research in Social and Administrative Pharmacy, 15(2), 214–221. https://doi.org/10.1016/j.sapharm.2018.03.066

Alnedral, Ihsan, N., Mario, D. T., Aldani, N., & Sari, D. P. (2023). Digital-based e-modules in Tarung Derajat martial arts learning at basic level. International Journal of Human Movement and Sports Sciences, 11(2), 306–315. https://doi.org/10.13189/saj.2023.110207

Berg, L. P., & Vance, J. M. (2016). Industry use of virtual reality in product design and manufacturing: A survey. Virtual Reality, 21(1), 1–17. https://doi.org/10.1007/s10055-016-0293-9

Blaine, A. M. (2019). Interaction and presence in the virtual classroom: An analysis of the perceptions of students and teachers in online and blended Advanced Placement courses. Computers & Education, 132, 31-43 https://doi.org/10.1016/j.compedu.2019.01.004

Born, P., Nguyen, N. P., Grambow, R., Meffert, D., & Vogt, T. (2018). Embedding tennis-specific teaching videos into long-term educational concepts to improve movement learning and technique performances. Journal of Physical Education and Sport, 18(1), 255–261. https://doi.org/10.7752/jpes.2018.01034

Chen, H., Yang, Y., & Xie, S. (2022). Topic search algorithm for network multimedia tennis teaching resources using 5G-enabled internet of things technology. Wireless Communications and Mobile Computing, 1–13. https://doi.org/10.1155/2022/1155522

Cho, D. W. (1981). Inter-rater reliability: Intraclass correlation coefficients. Educational and Psychological Measurement, 41(1), 223–226. https://doi.org/10.1177/001316448104100127

Dankbaar, M. E. W., & Jong, P. G. M. de. (2014). Technology for learning: How it has changed education. Perspectives on Medical Education, 3(4), 257–259. https://doi.org/10.1007/s40037-014-0141-0

Dascal, J., Reid, M., IsHak, W. W., Spiegel, B., Recacho, J., Rosen, B., & Danovitch, I. (2017). Virtual reality and medical inpatients: A systematic review of randomized, controlled trials. Innovations in Clinical Neuroscience, 14(1-2), 14. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5373791/

Elbamby, M. S., Perfecto, C., Bennis, M., & Doppler, K. (2018). Toward low-latency and ultra-reliable virtual reality. IEEE Network, 32(2), 78–84. https://doi.org/10.1109/MNET.2018.1700268

Fernandez-Fernandez, J., Sanz, D., Sarabia, J. M., & Moya, M. (2016). The effects of sport-specific drills training or high-intensity interval training in young tennis players. International Journal of Sports Physiology and Performance, 12(1), 90–98. https://doi.org/10.1123/ijspp.2015-0684

Firdaus, K., Hartoto, S., Hariyanto, A., Subagya, I., Nikmatullaili, Mario, D. T., & Zulbahri. (2023). Evaluation of several factors that affect the learning outcomes of Physical Education. International Journal of Human Movement and Sports Sciences, 11(1), 27–36. https://doi.org/10.13189/saj.2023.110104

Freeman, D., Bradley, J., Antley, A., Bourke, E., Deweever, N., Evans, N., … & Clark, D. M. (2016). Virtual reality in the treatment of persecutory delusions: randomised controlled experimental study testing how to reduce delusional conviction. The British Journal of Psychiatry, 209(1), 62–67. https://doi.org/10.1192/bjp.bp.115.176438

Handayani, S. G., Myori, D. E., Yulifri, Komaini, A., & Mario, D. T. (2023). Android-based gymnastics learning media to improve handstand skills in junior high school students. Journal of Human Sport and Exercise, 18(3), 690–700. https://doi.org/10.14198/jhse.2023.183.15

Komikesari, H., Mutoharoh, M., Dewi, P. S., Utami, G. N., Anggraini, W., & Himmah, E. F. (2020). Development of e-module using flip pdf professional on temperature and heat material To. Journal of Physics: Conference Series, 1572(1), 1–10. https://doi.org/10.1088/1742-6596/1572/1/012017

Koo, T. K., & Li, M. Y. (2016). A Guideline of selecting and reporting intraclass correlation coefficients for reliability research. Journal of Chiropractic Medicine, 15(2), 155–163. https://doi.org/10.1016/j.jcm.2016.02.012

Li, D., He, Q., Liu, C., & Yu, H. (2017). Real-time carpooling system on Android terminal using session initiation protocol and location based service. Journal of Computational and Theoretical Nanoscience, 14(4), 2069–2076. https://doi.org/10.1166/jctn.2017.6544

Lu’mu. (2017). Learning media of applications design based Android mobile smartphone. International Journal of Applied Engineering Research, 12(17), 6576–6585.

McQuiggan, S., McQuiggan, J., Sabourin, J., & Kosturko, L. (2015). Mobile learning: A handbook for developers, educators, and learners. John Wiley & Sons.

Mulya, G., Lengkana, A. S., & Agustryani, R. (2021). TennBasTech : A scientific approach to teach tennis. International Journal of Human Movement and Sports Science, 9(6), 1371–1382. https://doi.org/10.13189/saj.2021.090633

Plomp, T., & Nieveen, N. (2013). Educational design research: An introduction. SLO.

Rifki, M. S., Hanifah, R., Sepdanius, E., Komaini, A., Ilham, Fajri, H. P., & Mario, D. T. (2022). Development of a volleyball test instrument model. International Journal of Human Movement and Sports Sciences, 10(4), 807–814. https://doi.org/10.13189/saj.2022.100421

Robertson, S. J., Burnett, A. F., & Cochrane, J. (2013). Tests examining skill outcomes in sport: A systematic review of measurement properties and feasibility. Sports Medicine, 44(4), 501–518. https://doi.org/10.1007/s40279-013-0131-0

Sireci, S. G., & Faulkner-Bond, M. (2014). Validity evidence based on test content. Psicothema.

Sitzmann, T., Kraiger, K., Stewart, D., & Wisher, R. (2006). The comparative effectiveness of web-based and classroom instruction: A meta-analysis. Personnel Psychology, 59(3), 623–664. https://doi.org/10.1111/j.1744-6570.2006.00049.x

Voithofer, R. (2005). Designing new media education research: The materiality of data, representation, and dissemination. Educational Researcher, 34(9), 3–14. https://doi.org/10.3102/0013189X034009003

Wang, Q. (2021). Tennis online teaching information platform based on Android mobile intelligent terminal. Mobile Information Systems, 1–11. https://doi.org/10.1155/2021/2932441

Wang, Y. (2021). Physical education teaching in colleges and universities assisted by virtual reality technology based on artificial intelligence. Mathematical Problems in Engineering, 1–11. https://doi.org/10.1155/2021/5582716

Wynd, C. A., Schmidt, B., & Schaefer, M. A. (2003). Two quantitative approaches for estimating content validity. Western Journal of Nursing Research, 25(5), 508–518. https://doi.org/10.1177/0193945903252998