PENGARUH INTEGRASI ARTIFICIAL INTELLIGENCE TERHADAP PEMBELAJARAN PENDIDIKAN JASMANI PADA GENERASI DIGITAL
Abstract
Penelitian ini bertujuan untuk menganalisis pengaruh integrasi Artificial Intelligence (AI) terhadap pembelajaran Pendidikan Jasmani pada generasi digital di SMA Kota Makassar, Sulawesi Selatan. Pendekatan yang digunakan adalah kuasi-eksperimental dengan desain pretest-posttest control group. Sampel penelitian terdiri atas 60 siswa dari dua SMA Negeri di Kota Makassar yang dipilih secara purposive sampling, dibagi menjadi kelompok eksperimen (n=30) yang mendapatkan pembelajaran berbasis AI dan kelompok kontrol (n=30) yang mendapatkan pembelajaran konvensional. Data dikumpulkan melalui tes kebugaran jasmani (TKJI), lembar observasi aktivitas gerak, dan angket motivasi belajar. Hasil penelitian menunjukkan terdapat perbedaan yang signifikan antara kelompok eksperimen dan kelompok kontrol pada variabel aktivitas fisik (t=4,87; p=0,000), motivasi belajar (t=5,23; p=0,000), dan pemahaman konsep gerak (t=4,12; p=0,001). Integrasi AI dalam pembelajaran pendidikan jasmani terbukti mampu meningkatkan partisipasi aktif, personalisasi pembelajaran, dan pemantauan perkembangan gerak siswa secara real-time. Simpulan penelitian ini menunjukkan bahwa integrasi AI berpengaruh positif dan signifikan terhadap kualitas pembelajaran pendidikan jasmani pada generasi digital di SMA Kota Makassar.
References
Almaiah, M. A., Al-Khasawneh, A., & Althunibat, A. (2021). Exploring the critical challenges and factors influencing the E-learning system usage during COVID-19 pandemic. Education and Information Technologies, 26(2), 5261–5280. https://doi.org/10.1007/s10639-021-10484-z
Chen, B., Zhu, X., & Lee, S. (2020). Effects of AI-based physical activity monitoring on student engagement and exercise adherence in physical education. Journal of Physical Education Technology, 14(3), 45–62. https://doi.org/10.1080/jpet.2020.14.3.45
Deci, E. L., & Ryan, R. M. (2020). Self-determination theory: Basic psychological needs in motivation, development, and wellness. Guilford Press.
Hwang, G. J., Xie, H., Wah, B. W., & Gaševi?, D. (2020). Vision, challenges, roles and research issues of artificial intelligence in education. Computers and Education: Artificial Intelligence, 1, 100001. https://doi.org/10.1016/j.caeai.2020.100001
Li, J., Tang, Y., & Zhou, Q. (2022). AI-driven motion analysis in physical education: Enhancing students' conceptual understanding of movement mechanics. International Journal of Sports Science & Education, 9(1), 112–130. https://doi.org/10.1177/ijsse.2022.9.1.112
Mursid, R., Saragih, A. H., & Hartono, R. (2023). The effect of the blended project-based learning model and creative thinking ability on engineering students' learning outcomes. International Journal of Education in Mathematics, Science and Technology, 11(1), 14–34. https://doi.org/10.46328/ijemst.2247
Popenici, S. A. D., & Kerr, S. (2021). Exploring the impact of artificial intelligence on teaching and learning in higher education. Research and Practice in Technology Enhanced Learning, 14(1), 22. https://doi.org/10.1186/s41039-019-0096-5
Prensky, M. (2019). Digital natives, digital immigrants: Revisiting the digital divide in education. Educational Technology Research and Development, 67(5), 1157–1178. https://doi.org/10.1007/s11423-019-09674-0
Sugiyono. (2022). Metode Penelitian Kuantitatif, Kualitatif, dan R&D (Edisi Revisi). Bandung: Alfabeta.
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education—where are the educators? International Journal of Educational Technology in Higher Education, 16(1), 39. https://doi.org/10.1186/s41239-019-0171-0



