Elementary School Teachers' Acceptance of the Digital Media Canva Site in Deep Learning-Based Instruction: A Study Using the UTAUT Model

Authors

  • Herma Susanah Universitas Pendidikan Indonesia
  • Yunus Abidin Universitas Pendidikan Indonesia
  • Dede Tri Kurniawan Universitas Pendidikan Indonesia
  • Dede Margo Universitas Pendidikan Indonesia

DOI:

https://doi.org/10.17977/um009v34i22025p275-289

Keywords:

technology acceptance, canva site, UTAUT, deep learning, keberterimaan teknologi, elementary school, sekolah dasar

Abstract

Abstract: The world of education is required to continue to innovate, including in the way teachers compile teaching materials that are interesting and relevant to students. One of the main challenges is how teachers can accept and utilize new technology optimally in teaching and learning activities. The study aimed to find out the extent to which elementary school teachers accept the use of Canva to create deep learning-based teaching materials, which encourage students' deep understanding. Using a quantitative approach, this study involved 149 elementary school teachers in the city of Bandung as respondents. An instrument in the form of a questionnaire was developed based on the UTAUT framework, and the data were analyzed by linear regression. The results show that performance expectations, ease of use, social influence, and availability of technical support all play an important role in shaping teachers' intentions to use Canva. These findings show that teachers respond positively to this technology and see it as an effective tool in developing more meaningful learning. In conclusion, successful adoption of technologies like Canva requires real support in the form of training, tools, and school policies that encourage innovation in the classroom.


Abstrak: Di era digital saat ini, dunia pendidikan dituntut untuk terus berinovasi, termasuk dalam cara guru menyusun bahan ajar yang menarik dan relevan bagi siswa. Salah satu tantangan utama adalah bagaimana guru dapat menerima dan memanfaatkan teknologi baru secara optimal dalam kegiatan belajar mengajar. Penelitian ini bertujuan untuk mengetahui sejauh mana guru sekolah dasar menerima penggunaan Canva untuk membuat bahan ajar berbasis deep learning, yang mendorong pemahaman mendalam siswa. Menggunakan pendekatan kuantitatif, penelitian ini melibatkan 149 guru SD di Kota Bandung sebagai responden. Instrumen berupa kuesioner dikembangkan berdasarkan kerangka UTAUT, dan data dianalisis dengan regresi linear. Hasilnya menunjukkan bahwa ekspektasi kinerja, kemudahan penggunaan, pengaruh sosial, serta ketersediaan dukungan teknis semuanya berperan penting dalam membentuk niat guru menggunakan Canva. Temuan ini menunjukkan bahwa guru merespons positif teknologi ini dan melihatnya sebagai alat bantu yang efektif dalam mengembangkan pembelajaran yang lebih bermakna. Kesimpulannya, keberhasilan adopsi teknologi seperti Canva membutuhkan dukungan nyata berupa pelatihan, sarana, dan kebijakan sekolah yang mendorong inovasi di ruang kelas.

References

Alalwan, A. A., Dwivedi, Y. K., Rana, N. P., & Algharabat, R. (2018). Examining factors influencing Jordanian customers' intentions and adoption of internet banking: Extending UTAUT2 with risk. Journal of Retailing and Consumer Services, 40, 125–138. https://doi.org/10.1016/j.jretconser.2017.08.026.

Al-Emran, M., Mezhuyev, V., & Kamaludin, A. (2020). Technology Acceptance Model in M-learning context: A systematic review. Computers & Education, 145, 103740. https://doi.org/10.1016/j.compedu.2019.103740.

Almumen, H. (2021). Multimodal teaching positively impacts educational outcomes by engaging students and addressing diverse learning preferences. Proceedings of the 6th International Baltic Symposium on Science and Technology Education.

Al-Rahmi, W. M., Alzahrani, A. I., Yahaya, N., Alalwan, N., & Kamin, Y. B. (2023). Digital communication: Information and communication technology (ICT) usage for education sustainability. Sustainability, 15(4), 3454. https://doi.org/10.3390/su15043454.

Al-Rahmi, W. M., Yahaya, N., Alamri, M. M., Aljarboa, N. A., Kamin, Y. B., & Moafa, F. A. (2021). A model of factors affecting cyberbullying among university students. IEEE Access, 7, 2978–2985. https://doi.org/10.1109/ACCESS.2018.2881292.

Andriyani, F. (2025). Strengthening the digital literacy of students and teachers through Canva as an interactive learning medium. Journal of Elementary School Teacher Education, University of Muhammadiyah Gresik.

Daulay, E. (2025). Reading comprehension through multimodal literacy approach for English education. ETERNAL: English Teaching Journal, 16(2), 109–125.

Field, A. (2018). Discovering statistics using IBM SPSS statistics (5th ed.). Sage.

Granić, A., & Marangunić, N. (2019). Technology acceptance model in educational context: A systematic literature review. British Journal of Educational Technology, 50(5), 2572–2593. https://doi.org/10.1111/bjet.12864.

Habibah, J. F. (2025). Pre-service teachers' perceptions of Canva as a collaborative learning media for primary students in the classroom. Proceedings of the International Conference on Religion, Science and Education, 4, 817–830.

Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate Data Analysis (8th ed.). Cengage Learning.

Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2019). A primer on partial least squares structural equation modeling (PLS-SEM) (2nd ed.). Sage.

Hapsariwijayanti, S. (2024). Elementary school teachers' digital skills in creating learning media using Canva. Journal of Community Service, Tarumanagara University.

Khechine, H., Lakhal, S., & Ndjambou, P. (2020). A meta-analysis of the UTAUT model: Eleven years later. Canadian Journal of Administrative Sciences, 37(2), 240–261. https://doi.org/10.1002/cjas.1551.

Mahendra, Y. (2025). Improving teacher competency in creating Canva-based digital learning media through continuous training and evaluation. Journal of Community Education, 7(1), 112–122.

Naipospos, N. Y. (2025). The Canva application is a learning media design for Pancasila Education teachers at SMP Negeri 1 West Karawang. Journal of Educational and Social Sciences, 6(2), 55–67.

Nasution, N. A., Rahayu, S., & Haryani, S. (2023). Teachers' acceptance of digital learning media based on UTAUT model. Indonesian Journal of Educational Research, 14(2), 112–124.

Nurhasanah, R., & Suryadinata, H. (2024). Factors that affect the acceptance of digital learning technology in elementary school teachers based on the UTAUT model. Indonesian Journal of Technology and Basic Education, 9(3), 305–320.

Oliveira, M. A., Lopes, A. P., & Rodrigues, H. (2023). Digital education in primary schools: Teachers' acceptance of web-based learning platforms using UTAUT2. Education and Information Technologies, 28, 4567–4583. https://doi.org/10.1007/s10639-022-11515-4

Rahmawati, E., Syavina, N., Apriliani, N. A., & Triutami, G. (2024). Implementation of the Canva application as a teaching material to improve the creativity skills of elementary school teachers. Journal of Elementary School Teacher Education, University of Muhammadiyah Tangerang.

Sarstedt, M., Hair, J. F., Cheah, J.-H., Becker, J.-M., & Ringle, C. M. (2022). How to specify, estimate, and validate higher-order constructs in PLS-SEM. Australasian Marketing Journal, 30(3), 197–211. https://doi.org/10.1177/183933492110468

Scherer, R., Siddiq, F., & Tondeur, J. (2019). The technology acceptance model (TAM): A meta-analytic structural equation modeling approach to explaining teachers' adoption of digital technology in education. Computers & Education, 128, 13–35. https://doi.org/10.1016/j.compedu.2018.09.009

Sekaran, U., & Bougie, R. (2016). Research methods for business: A skill-building approach (7th ed.). Wiley.

Sugiarto, H., Pratama, Y., & Lestari, D. (2025). The application of deep learning approach assisted by Canva AI in Indonesian language learning in elementary schools. International Conference on Teaching and Learning, 1, 245–257. https://conference.ut.ac.id/index.php/ictl/article/view/1361

Susanti, N., Haryani, A., & Nugroho, D. A. (2023). Analysis of technology acceptance factors in education using the UTAUT model. Scientific Journal of Education and Learning, 17(2), 89–100. https://doi.org/10.21009/JIPP.172.08

Syahid, M., Kurniawan, A., & Lestari, S. (2022). Analysis of elementary school teachers' skills in making digital learning media. Journal of Teaching and Educational Technology, 8(1), 77–89.

TechEd Institute. (2023). AI in classroom design tools: 2023 global survey report. https://www.techedinstitute.org/reports/ai-education-2023

Tiba, C., Condy, J., & Tiba, P. (2015). Digital storytelling fosters collaborative learning and voice in multimodal classrooms. E-Learning and Digital Media, 12(2), 178–193.

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540

Venkatesh, V., Thong, J. Y. L., Chan, F. K. Y., & Hu, P. J. H. (2023). Managing citizens' uncertainty in e-government services: The mediating and moderating roles of transparency and trust. Information Systems Research, 34(1), 255-280. https://doi.org/10.1287/isre.2022.1134

Wijaya, P. W. P. (2025). Implementation of AI-based digital platform through Canva in Indonesian language learning. Asian Journal of Social Communication, 7(2), 45–56.

Yulisman, A. (2024). Teachers' perceptions of the use of Canva as an interactive learning medium in elementary schools. Madaniya Journal: A Study of Basic Education, 14(1), 45–57.

Zhang, Y., Li, X., & Wang, Q. (2023). Predicting Technology Adoption: The Role of Behavioral Intention and R-square Validity. Journal of Information Systems Research, 14(2), 45-60.

Downloads

Published

2025-11-12

How to Cite

Herma Susanah, Abidin, Y., Kurniawan, D. T., & Margo, D. (2025). Elementary School Teachers’ Acceptance of the Digital Media Canva Site in Deep Learning-Based Instruction: A Study Using the UTAUT Model. Sekolah Dasar: Kajian Teori Dan Praktik Pendidikan, 34(2), 275–289. https://doi.org/10.17977/um009v34i22025p275-289

Issue

Section

Articles