Implementation of AI-Based Physical Education Assessment Using a Coding Generator in Canva: A Case Study of Elementary School Teachers' Experiences and Perceptions
Abstract
The advancement of the digital era demands educators to create innovative learning outcome evaluations by utilizing the AI Coding Generator in Canva. This study aims to examine the implementation of an AI Coding Generator-based physical education assessment integrated into the Canva platform and explore elementary school teachers' experiences and perceptions of its use. The research method used was a case study with a qualitative approach. The research subjects consisted of elementary school physical education teachers who had implemented the technology in their learning assessment process. Data was collected through interviews, observation, and documentation, then analyzed using thematic analysis techniques. The results show that the use of the AI Coding Generator in Canva helps teachers design more varied, efficient, and visually appealing assessment instruments. Furthermore, teachers perceived increased ease in managing assessments and providing feedback to students. However, several obstacles remained, such as limited digital literacy, internet access, and the need for further training. Overall, teachers' perceptions of the implementation of this technology were positive and showed great potential in supporting the digital transformation of physical education assessment in elementary schools. This study recommends strengthening teachers' digital competencies and providing infrastructure support to optimize the use of artificial intelligence-based technology in education.
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References
Arifin, Z., Saputro, M., Rubiyatno, R., & Lauh, W. D. A. (2019). Pengembangan Model Pembelajaran Aktivitas Jasmani Bagi Anak Sd Slb Tunanetra Di Kota Singkawang. Jurnal Pendidikan Olahraga, 8(2), 127. https://doi.org/10.31571/jpo.v8i2.1309
Aspi, M., Selatan, K., & Selatan, K. (2022). Profesional Guru Dalam Menghadapi Tantangan Perkembangan Teknologi Pendidikan. 2(1), 64–73.
Chounta, I., Pedaste, M., Bardone, E., & Raudsep, A. (2022). Exploring Teachers ’ Perceptions of Artificial Intelligence as a Tool to Support their Practice in Estonian K-12 Education. 725–755.
Dharmadi, M. A., Mertayasa, I. N. E., Putu, N., & Sucita, D. (2024). Tingkat Pemahaman Guru PJOK SD di Kecamatan Banjar Buleleng Terhadap Pembelajaran Digital. 13(2), 226–232.
Diantama, S. (2024). Pemanfaatan Artificial Intelegent ( AI ) Dalam Dunia Pendidikan. 1, 11–19.
Fadhilah, D. N., Magdalena, R., & Sa’idah, R. (2021). Individual Identification System Design Through Voice Using Linear Predicive Coding Method and K-Nearest Neighbour. 2(2).
Fatonah, K., Fadli, M. rijal, & Fuad, A. (2025). Pendampingan Pembuatan Bahan Ajar Berbasis Artificial Intelligence Di Sekolah Dasar. INTEGRITAS : Jurnal Pengabdian, 9(2), 664–676.
Febriani, M. M., Hidayat, S., & Saepudin. (2021). Evaluasi Sistem Manajemen Sumber Daya Manusia Pada Penempatan Kerja Petugas Di Upt Puskesmas Malingping. National Conference on Applied Business, Education, & Technology (NCABET), 36–49.
Fitria, A., & Mustika, D. (2024). Kemampuan Technological Pedagogical Content Knowledge ( TPACK ) Guru di Sekolah Dasar. 7(1), 43–52. https://doi.org/10.31004/aulad.v7i1.582
Fitria, T. N. (2021). Artificial Intelligence (Ai) In Education: Using Ai Tools For Teaching And Learning Process. Proceeding Seminar Nasional & Call For Papers, 134–147.
Hashim, S., Omar, M. K., Jalil, H. A., Hashim, S., Omar, M. K., & Jalil, H. A. (2022). Trends on Technologies and Artificial Intelligence in Education for Personalized Learning : Systematic Literature Review Trends on Technologies and Artificial Intelligence in Education for Personalized Learning : Systematic Literature Review. 1(1), 884–903. https://doi.org/10.6007/IJARPED/v11-i1/12230
Hidayat, N., Sardi, J., Putra, R., Ranuharja, F., Ismi, R., Jamhur, I., Padang, U. N., & Panjang, P. (2025). Empowering vocational teachers through digital innovation: Enhancing QR code-based learning media. 10(10), 1976–1986.
Isidori, M. V., Muccini, H., Evangelista, C., Blind, D., & Review, P. (2025). Intelligenza generativa: una possibile ridefinizione dell’insegnamento e della valutazione formativa. un’indagine tra i docenti in formazione generative intelligence: a possible redefinition of teaching and formative assessment. a survey among teacher trainees.
Kurniawan, W., Ilyas, M., Tresnawaty, N., Budisantoso, T., Sulistiyowati, R., Ningsih, S., Nusantara, U. D., & Barat, J. (2026). Pemberdayaan Guru melalui Pelatihan Coding dan AI untuk Meningkatkan Kompetensi Digital di Era Revolusi Industri 4 . 0. 4(3), 3353–3361.
Lee, H. S., & Lee, J. (2021). Applying Artificial Intelligence in Physical Education and Future Perspectives.
Ndhanni, A. R., & Ridwan, M. (2025). Pemanfaatan Artificial Intelligence untuk Meningkatkan Motivasi Belajar Peserta Didik. Jurnal Dunia Pendidikan, 111–123.
Raibowo, S., Nopiyanto, Y. E., & Muna, M. K. (2019). Pemahaman Guru PJOK Tentang Standar Kompetensi Profesional. Journal Of Sport Education (JOPE), 2(1), 10. https://doi.org/10.31258/jope.2.1.10-15
Saputra, D. W., & Hadi, M. S. (2022). Persepsi guru sekolah dasar jakarta utara dan kepulauan seribu tentang kurikulum merdeka. Holistika Jurnal Ilmiah PGSD, 3.
Tanveer, M., & Hassan, S. (2020). Academic Policy Regarding Sustainability and Artificial Intelligence ( AI ). 1–13.
Tuningsih, S., & Wahyuningsih, P. I. (2025). Pengalaman Guru Sekolah Dasar Menggunakan Artificial Intelligence dalam Pembelajaran. 06(01), 150–155.
Zhong, Q., Jiang, J., Bai, W., Yin, Z., Liao, Z., & Zhong, X. (2025). Application of digital-intelligent technologies in physical education : a systematic review. July, 1–17. https://doi.org/10.3389/fpubh.2025.1626603
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