Development of Test Learning Resources and Physical Fitness Measurement Based on Mobile Learning

Abstract

The development of gadgets, especially smartphones, is rapid, and most young people are very interested in them. Young people at this time are very familiar with smartphones. An educator sees the potential in smartphones to be used as an effective, efficient and attractive medium for the transfer of knowledge if adequately developed. This research and development aim to develop learning resources for test subjects and sports measurement, test materials and physical fitness measurements. This research begins with a needs analysis with a survey method and then develops learning resources with the characteristics according to the needs analysis results. The development of this learning resource produces a product in the form of a test application and measurement of physical fitness, which is packaged in * apk, which can be installed on an Android-based mobile phone. The research method used is a research and development method with development steps designed by Borg and Gall. The researcher modified the process according to the research needs. The subjects of this study were 35 students of sports coaching education who were taking tests and physical fitness measurements. A needs analysis was carried out using a survey method using a questionnaire. Product feasibility testing was carried out using content validation by experts by providing an assessment through a questionnaire, while product testing to see the product's effectiveness used a simple experimental method in the two groups and compared the acquisition of the final test results in the two groups. The data analysis used is descriptive quantitative analysis. Based on the needs analysis data, it was found that 100% of students needed the development of this learning resource. Meanwhile, according to the results of the evaluation of the test and sports measurement, experts obtained an average score of 3.58 which means very good with a percentage of 89.44%; according to the learning technology, experts got an average score of 3.56 which means very good with a rate of 89.34%, learning experts obtained an average score of 3.67 which means very good with a percentage of 91.67%. The results of the small group trial got an average score of 3.26 which means good with a rate of 80.09%, while the results of the large group trial obtained an average score of 3.57 which means very good with a percentage of 87.96%. Thus, physical fitness mobile learning products are appropriate for use as learning resources and have proven effective in increasing students' understanding of concepts. This research and development product can still be better developed mainly in the quality of the test results analysis work system, navigation of each layer, animation, and the engraving design.

Keywords: Learning Resources, Tests and Measurement of Physical Fitness, Mobile Learning

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References

Aini, K., & Kemala, A. (2021). Development Of Physical Fitness Teaching Materials E-Book Using Flipbook Maker. JUARA : Jurnal Olahraga, 7(1), 71-81. https://doi.org/10.33222/juara.v7i1.1375

Aubusson, P., Schuck, S., & Burden, K. (2009). Mobile learning for teacher professional learning: Benefits, obstacles, and i ssues.ALT-J, Research in Learning Technology 17(3).

Audio Visual VCD Terhadap Hasil Belajar Passing Dan Service Bawah. JUARA : Jurnal Olahraga, 4(1), 75. https://doi.org/10.33222/juara.v4i1.454

Baran, E. (2014). A Review of Research on Mobile Learning in Teacher Education. Educational Technology & Society, 17 (4), 17-32

Borg, Walter R & Gall, M. D. (1983). Educational Research (An introdu). White Plains, NY, England: Longman Publishing.

Chang, H.-Y., Wu, H.-F., Chang, Y.-C., Tseng, Y.-S., & Wang, Y.-C. (2021). The effects of a virtual simulation-based, mobile technology application on nursing students’ learning achievement and cognitive load: Randomized controlled trial. International Journal of Nursing Studies, 120, 103948. https://doi.org/10.1016/j.ijnurstu.2021.103948

Cheon, J., Lee, S., Crooks, S. M., & Song, J. (2012). An investigation of mobile learning readiness in higher education based on the theory of planned behavior. Computers and Education, 59(3), 1054–1064. https://doi.org/10.1016/j.compedu.2012.04.015

Cidral, W. A., Oliveira, T., Di Felice, M., & Aparicio, M. (2018). E-learning success determinants: Brazilian empirical study. Computers & Education, 122, 273–290. https://doi.org/10.1016/j.compedu.2017.12.001

Ciampa, K. (2014). Learning in a mobile age: An investigation of student motivation. Journal of Computer Assisted Learning, 30(1), 82-96

Danish, J., & Hmelo-Silver, C. E. (2020). On activities and affordances for mobile learning. Contemporary Educational Psychology, 60, 101829. https://doi.org/10.1016/j.cedpsych.2019.101829

Fan, H., & Song, X. (2020). The advantages of combining mobile technology and audience response systems. Journal of Accounting Education, 50, 100657. https://doi.org/10.1016/j.jaccedu.2020.100657

Frohberg, D. D., Goth, C. C., & Schwabe, G. G. (2009). Mobile learning projects - A critical analysis of the state of the art. Journal of Computer Assisted Learning, 25(4).

Gary Woodille. 2011. Mobile Learning. US; The Mc Graww-Hill Companies.

Hasyim, hasyim, Ramadan, G., Dwiansyah Putra, D., Okilanda, A., Mulayana, N., Hadiana, O., … Iskandar, D. (2020). Sport Education Model: Improving Student Motivation in Physical Education. International Journal of Psychosocial Rehabilitation, 24(8), 1421–1426. https://doi.org/10.37200/IJPR/V24I8/PR280155

Herro, D., Kiger, D., & Owens, C. (2013). Mobile technology: Case-based suggestions for classroom integration and teacher educators. Journal of Digital Learning in Teacher Education, 30(1).

Kearney, M., Schuck, S., Burden, K., & Aubusson, P. (2012). Viewing mobile learning from a pedagogical perspective. Research in Learning Technology, 20(1).

Kukulska-Hulme, A., Sharples, M., Milrad, M., Arnedillo-Sanchez, I., & Vavoula, G. (2009). Innovation in mobile learning: A European perspective. International Journal of Mobile and Blended Learning, 1(1).

Kynaslahti, H. (2003). In search of elements of mobility in the context of education. In H.Kynaslahti & P. Seppala (Eds.), Mobile learning. Helsinki, Finland: IT Press.

Lai, Y., Saab, N., & Admiraal, W. (2022). University students’ use of mobile technology in self-directed language learning: Using the integrative model of behavior prediction. Computers & Education, 179, 104413. https://doi.org/10.1016/j.compedu.2021.104413

Leba, M., Ionica, A. C., & Edelhauser, E. (2013). QFD – Method for eLearning Systems Evaluation. Procedia - Social and Behavioral Sciences, 83, 357–361. https://doi.org/10.1016/j.sbspro.2013.06.070

Lin, Y.-N., Hsia, L.-H., & Hwang, G.-J. (2022). Fostering motor skills in physical education: A mobile technology-supported ICRA flipped learning model. Computers & Education, 177, 104380. https://doi.org/10.1016/j.compedu.2021.104380

Littlejohn, A., Falconer, I., & Mcgill, L. (2008). Characterising effective eLearning resources. Computers & Education, 50(3), 757–771. https://doi.org/10.1016/j.compedu.2006.08.004

Sharples, M., Arnedillo-Sanchez, I., Milrad, M., & Vavoula, G. (2009). Mobile learning: Small devices, big issues. In S. Ludvigsen, N. Balacheff, T. D. Jong, A. Lazonder, and S. Barnes (Eds.), Technology-enhanced learning: Principles and products. Berlin, Germany: Springer-Verlag.

Sitoayu, L., Dewanti, L. P., Melani, V., & ... (2021). Literasi Digital Mengenai Rutin Menimbang Berat Badan Dan Melakukan Aktivitas Fisik Pada Remaja Saat Pandemi Covid-19. JMM (Jurnal …, 5(1), 96–105. Retrieved from http://journal.ummat.ac.id/index.php/jmm/article/view/3302

Sophonhiranrak, S. (2021). Features, barriers, and influencing factors of mobile learning in higher education: A systematic review. Heliyon, 7(4), e06696. https://doi.org/10.1016/j.heliyon.2021.e06696

Uzunboylu, R., & Özdamlı, F. (2011). Teacher perception for m-learning: Scale development and teachers' perceptions. Journal of Computer Assisted Learning, 27(6).

Parsons, D., & Ryu, H. (2006). A framework for assessing the quality of mobile learning. In R. Dawson, E. Georgiadou, P. Lincar, M. Ross & G. Staples (Eds.), Learning and Teaching Issues in Software Quality, Proceedings of the 11th International Conference for Process Improvement, Research and Education, Southampton, UK.

Purcell, K, Heaps, A., Buchman, J., & Friedrich, L. (2013). How teachersare using technologyat home and in their classrooms. Pew Internet & American Life Pro}ect. Retrieved from http:// www.pewinternet.org/REports/2013/Teachers• and- technology.aspx

Widiastuti. Tes dan Pengukuran Olahraga. (Jakarta: PT Bumi Timur Jaya, 2011)

Published
2022-04-03
How to Cite
Rohman, M. F., & Yunitaningrum, W. (2022). Development of Test Learning Resources and Physical Fitness Measurement Based on Mobile Learning. JUARA : Jurnal Olahraga, 7(2), 249-265. https://doi.org/10.33222/juara.v7i2.1366
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