Exploring Students’ Engagement in Learning Comparison through AI-Assisted Canva Games
DOI:
https://doi.org/10.22437/ijolte.v10i1.57070Keywords:
Interactive Learning media, Educational games, Canva AIAbstract
The integration of technology in education has expanded rapidly, including the use of digital learning media to create more interactive and enjoyable learning experiences. One of these media is Canva, which has become a popular educational design platform. The novelty of this study lies in the use of Canva AI features to develop interactive learning media and create simple educational games more efficiently. This study aimed to explore student engagement in learning comparison through the use of AI-Assisted Canva Games. The research was motivated by students’ low interest and participation in conventional classroom learning. A descriptive qualitative method was employed, with data collected through observations, interviews, and documentation. The participants were 13 fifth-grade students from an elementary school in Simalungun Regency, North Sumatra, who participated in English learning using AI-Assisted Canva Games. The participants were selected purposively because they were directly involved in the implementation of the learning media. The findings revealed that AI-Assisted Canva Games enhanced student engagement by increasing students’ interest, participation, and active involvement during learning activities. Students reported that the games helped them understand the learning material more easily while creating a more enjoyable classroom atmosphere. In addition, teachers found it easier to design engaging and effective learning activities using Canva AI features. Overall, the findings indicate that AI-Assisted Canva Games can promote more innovative, interactive, and student-centered English learning by improving students’ engagement and supporting teachers in developing effective digital learning media.
Downloads
References
Astaño, J. L. (2025). The effectiveness of Canva as an instructional tool in improving students' academic performance: A meta-analysis. Journal of Digital Learning and Distance Education, 3(10), 1327–1345. https://doi.org/10.56778/jdlde.v3i10.468
Denny, P., Gulwani, S., Heffernan, N. T., Käser, T., Moore, S., Rafferty, A. N., & Singla, A. (2024). Generative AI for education (GAIED): Advances, opportunities, and challenges. arXiv. https://doi.org/10.48550/arXiv.2402.01580
Deterding, S., Dixon, D., Khaled, R., & Nacke, L. (2011). From game design elements to gamefulness: Defining gamification. In Proceedings of the 15th International Academic MindTrek Conference: Envisioning Future Media Environments (pp. 9–15). Association for Computing Machinery. https://doi.org/10.1145/2181037.2181040
Hamari, J., Koivisto, J., & Sarsa, H. (2014). Does gamification work? A literature review of empirical studies on gamification. In 2014 47th Hawaii International Conference on System Sciences (pp. 3025–3034). IEEE. https://doi.org/10.1109/HICSS.2014.377
Ilahy, W. Q., Sholeh, M., Subali, B., & Widiarti, N. (2025). Literature review of research trends in the development of Canva-based interactive learning media for elementary schools between 2019–2025. Edunesia: Jurnal Ilmiah Pendidikan, 6(3), 1432–1447. https://doi.org/10.51276/edu.v6i3.1254
Nurjanah, L. U., Sutomo, M., Mu'alimin, M., & Ezginci, H. Y. (2025). Enhancing elementary students' learning interest through AI-driven Canva learning tools: Evidence from a pre-experimental study. Al-Adzka: Jurnal Ilmiah Pendidikan Guru Madrasah Ibtidaiyah. Advance online publication. https://doi.org/10.18592/aladzka.v15i2.18243
Sartimah, S., & Dalimunthe, Y. A. (2025). Integrating artificial intelligence and Canva as instructional media in elementary education: A field study. International Journal of Educational Development. https://doi.org/10.61132/ijed.v2i4.431
Suciati, T. A., Misrita, M., & Zulkarnain, Z. (2024). Exploring the use of Canva-based visual media in teaching simple past tense to elementary students. Journal Compound: Improving the Quality of English Education, 12(2), 56–61. https://doi.org/10.37304/jcp.v12i2.8449
UNESCO. (2024). Artificial intelligence in education: Opportunities and challenges in digital learning environments. UNESCO Publishing.
World Economic Forum. (2025). Schools of the future: AI and digital transformation in education. World Economic Forum.
Downloads
Published
Issue
Section
License
Copyright (c) 2026 International Journal of Language Teaching and Education

This work is licensed under a Creative Commons Attribution 4.0 International License.
The Authors submitting a manuscript do so on the understanding that if accepted for publication, copyright of the article shall be assigned to International Journal of Language Teaching and Education (IJoLTe) and Magister Program of English Education Department, Universitas Jambi as publisher of the journal. Copyright encompasses rights to reproduce and deliver the article in all form and media, including reprints, photographs, microfilms, and any other similar reproductions, as well as translations.
IJoLTe keep the rights to articles that have been published. And, the authors are permitted to disseminate published article by sharing the link of IJoLTe' website. Authors are allowed to use their works for any purposes deemed necessary without written permission from IJoLTe with an acknowledgement of initial publication in this journal.
IJoLTe and Magister Program of English Education Department, Universitas Jambi, and the Editors make every effort to ensure that no wrong or misleading data, opinions or statements be published in the journal. In any way, the contents of the articles and advertisements published in IJoLTe are the sole and responsibility of their respective authors and advertisers.
If the article was jointly prepared by more than one author, any authors who submitting the manuscript warrants that he/she has been authorized by all co-authors to be agreed on this copyright and license notice (agreement) on their behalf, and agrees to inform his/her co-authors of the terms of this policy. IJoLTe will not be held liable for anything that may arise due to the author(s) internal dispute. IJoLTe will only communicate with the corresponding author.
By submitting the article/manuscript to this journal, the authors agree with this policy and consciously agree that IJoLTe does not provide royalties or other fees to the authors for their published articles. By agreeing this policy, IJoLTe ensures that published articles are publicly accessible and will be free of charge for the readers. No specific document sign-off is required.
Users of this website will be licensed to use materials from this website following the Creative Commons Attribution 4.0 International License. Please use the materials accordingly
You are free to:
- Share — copy and redistribute the material in any medium or format
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.














