Integrating Artificial Intelligence and Canva as Instructional Media in Elementary Education: A Field Study at SDN 069 Mompang Julu, Indonesia

Authors

  • Siti Sartimah Universitas Islam Negeri Syekh Ali Hasan Ahmad Addary Padangsidimpuan
  • Yustika Aulia Dalimunthe Universitas Islam Negeri Syekh Ali Hasan Ahmad Addary Padangsidimpuan

DOI:

https://doi.org/10.61132/ijed.v2i4.431

Keywords:

Artificial Intelligence, Canva, Digital Learning, Elementary Education, Instructional Media

Abstract

This study aims to examine the integration of Artificial Intelligence (AI) and Canva as instructional media in elementary school learning, particularly at SDN 069 Mompang Julu, Indonesia. The research employed a qualitative approach with a field study design. The research subjects consisted of elementary school teachers and students, while data were collected through observation, interviews, and documentation. Data analysis was conducted through data reduction, data display, and conclusion drawing. The results indicate that the use of AI and Canva assists teachers in designing more creative, visual, and efficient learning media, as well as increasing students’ motivation and engagement in the learning process. The discussion reveals that the integration of these technologies creates a more adaptive and engaging learning experience; however, it still faces challenges related to teachers’ digital competence and technological infrastructure. The study concludes that the integration of AI and Canva has strong potential to improve the quality of elementary education when supported by continuous teacher training and adequate technological facilities.

References

Aydın, M. K., & Kara, N. (2021). Artificial intelligence-supported instructional design: A systematic review. Education and Information Technologies, 26(6), 6789–6812. https://doi.org/10.1007/s10639-021-10599-7

Azizah, N. N., & Ratnaningrum, I. (2025). Canva-based interactive learning media to improve the ability to find the main idea of grade IV elementary school students. International Journal of Elementary Education, 9(1), 68–78. https://doi.org/10.23887/ijee.v1i1.89778

Bates, T. (2019). Teaching in a digital age: Guidelines for designing teaching and learning. BCcampus.

Bond, M., Buntins, K., Bedenlier, S., Zawacki-Richter, O., & Kerres, M. (2020). Mapping research in student engagement and educational technology in higher education: A systematic evidence map. International Journal of Educational Technology in Higher Education, 17(1), 1–30. https://doi.org/10.1186/s41239-020-00194-x

Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial intelligence in education: Promises and implications for teaching and learning. Center for Curriculum Redesign.

Krumsvik, R. J. (2014). Teacher educators’ digital competence. Scandinavian Journal of Educational Research, 58(3), 269–280. https://doi.org/10.1080/00313831.2013.770540

Mishra, P., & Koehler, M. J. (2006). Technological pedagogical content knowledge: A framework for teacher knowledge. Teachers College Record, 108(6), 1017–1054. https://doi.org/10.1177/016146810610800601

Novitasari, N., & Anisah, Z. (2024). Enhancing kindergarten teachers’ competence in developing innovative learning media based on Canva. Al Hikmah: Indonesian Journal Of Early Childhood Islamic Education, 8(1), 91–99. https://doi.org/10.35896/ijecie.v8i1.824

OECD. (2021). Digital education outlook: Pushing the frontiers with AI, blockchain and robots. OECD Publishing. https://doi.org/10.1787/2020e5c3-en

Puentedura, R. R. (2014). SAMR: A model for educational transformation. Hippasus.

Redecker, C. (2017). European framework for the digital competence of educators (DigCompEdu). Publications Office of the European Union. https://doi.org/10.2760/059770

Ruslan, A., Pusparani, Y., & Arnisa, W. (2025). Leveraging AI-based visual learning media to enhance elementary students’ readability and learning motivation. International Conference on Community Development (ICCD), 7(1), 298–304. https://doi.org/10.33068/iccd.v7i1.876

Samsiyah, N., Suharto, V. T., & Ulya, C. (2025). Artificial intelligence (AI) in language and science learning in elementary schools: Teacher perceptions and solutions. IJIS Edu: Indonesian Journal of Integrated Science Education, 7(1), 144–155. https://doi.org/10.29300/ijisedu.v7i1.3740

Sánchez-Prieto, J. C., Olmos-Migueláñez, S., & García-Peñalvo, F. J. (2016). Do mobile technologies increase students’ motivation? Computers in Human Behavior, 61, 231–239. https://doi.org/10.1016/j.chb.2016.03.016

UNESCO. (2018). ICT competency framework for teachers. UNESCO.

UNESCO. (2019). Artificial intelligence in education: Challenges and opportunities for sustainable development. UNESCO Publishing.

Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education. International Journal of Educational Technology in Higher Education, 16(1), 1–27. https://doi.org/10.1186/s41239-019-0174-0

Downloads

Published

2025-10-31

How to Cite

Siti Sartimah, & Yustika Aulia Dalimunthe. (2025). Integrating Artificial Intelligence and Canva as Instructional Media in Elementary Education: A Field Study at SDN 069 Mompang Julu, Indonesia. International Journal of Educational Development, 2(4), 12–16. https://doi.org/10.61132/ijed.v2i4.431