The Development of AI-Based Videos to Enhance the Creativity of Students on the Graphic Design Course
DOI:
https://doi.org/10.36456/bp.vol22.no2.a11914Keywords:
Artificial Intelligence, Learning Videos, Graphic design, CreativityAbstract
The development of Artificial Intelligence (AI)-based instructional videos aims to produce high-quality instructional videos that can enhance students’ creativity. This study employed the Research and Development (R&D) method using the ADDIE model, which includes the stages of analysis, design, development, implementation, and evaluation. Data collection was conducted through questionnaires and creativity tests involving 30 second-semester students in the Educational Technology program. The results showed that the media’s suitability, as determined by subject-matter expert validation, was 90.4%, and by media expert validation, 90.5%, placing it in the “highly suitable” category. The average student creativity score increased from 2.51 on the pre-test to 3.64 on the post-test. The results of the paired-samples t-test yielded a significance value (p < 0{,}001) with a calculated t-value of -9.012, indicating a significant difference between the pre-test and post-test results. Cohen’s effect size (d_z) was 1.65, while the N-Gain analysis yielded an average score of 0.43, classified as moderate. Thus, the AI-based instructional video is deemed suitable for use as a supplementary learning tool in Graphic Design, as evidenced by the increase in students’ creativity scores following its use.
References
AlShaikh, R., Al-Malki, N., & Almasre, M. (2024). The implementation of the cognitive theory of multimedia learning in the design and evaluation of an AI educational video assistant utilizing large language models. Heliyon, 10(3), e25361. https://doi.org/10.1016/j.heliyon.2024.e25361
Branch, R. M. (2009). Instructional Design: The ADDIE Approach. Springer.
Chakrabarty, T., Laban, P., Agarwal, D., Muresan, S., & Wu, C.-S. (2024). Art or Artifice? Large Language Models and the False Promise of Creativity. 1–34. https://doi.org/10.1145/3613904.3642731
Habib, S., Vogel, T., Anli, X., & Thorne, E. (2024). How does generative artificial intelligence impact student creativity? Journal of Creativity, 34(1), 100072. https://doi.org/10.1016/j.yjoc.2023.100072
Haq, I. U., & Pifarré, M. (2023). Dynamics of automatized measures of creativity: mapping the landscape to quantify creative ideation. Frontiers in Education, 8. https://doi.org/10.3389/feduc.2023.1240962
Hasibuan, R., Fitri, R., & Dewi, U. (2022). STEAM-Based Learning Media: Assisting in Developing Children’s Skills. Jurnal Obsesi Jurnal Pendidikan Anak Usia Dini, 6(6), 6863–6876. https://doi.org/10.31004/obsesi.v6i6.3560
Hwang, A. (2025). Graphic Design Education in the Era of Text-to-Image Generation: Transitioning to Contents Creator. International Journal of Art & Design Education, 44(1), 239–253. https://doi.org/10.1111/jade.12558
Itsarangkul-Na-Ayutthaya, T., & Damrongpanit, S. (2022). A Meta-Analysis of Instructional Management Model for Students’ Creative Thinking Development: An Application of Propensity Score Matching. European Journal of Educational Research, 2429–2444. https://doi.org/10.12973/eu-jer.11.4.2429
Lu, [author metadata to verify], Lalli, [author metadata to verify], & Jiang, [author metadata to verify]. (2025). A Comparative Study on the Influence of Artificial Intelligence (AI) on Student Creativity, Learning Outcomes and Attitudes in Product Design Education (PDE). European Journal of Education, 60(4), e70233. https://doi.org/10.1111/ejed.70233
Mayer, R. E. (2024). The Past, Present, and Future of the Cognitive Theory of Multimedia Learning. Educational Psychology Review, 36(1), 8. https://doi.org/10.1007/s10648-023-09842-1
Netland, T., von Dzengelevski, O., Tesch, K., & Kwasnitschka, D. (2025). Comparing human-made and AI-generated teaching videos: An experimental study on learning effects. Computers & Education, 224, 105164. https://doi.org/10.1016/j.compedu.2024.105164
Sugiyono, P. (2022). Metode penelitian kuantitatif, kualitatif, dan R&D. CV Alfabeta.
Tarigan, W. P. L., Paidi, P., Wiyarsi, A., & Suhartini, S. (2025). Development of Project-based Learning with Technology Integration and Science Reconstruction Model to Boost Creativity. Journal of Information Technology Education Innovations in Practice, 24, 20. https://doi.org/10.28945/5630
Torrance, E. P. (1974). Torrance Tests of Creative Thinking. Personnel Press.
Twabu, K. (2025). Enhancing the cognitive load theory and multimedia learning framework with AI insight. Discover Education, 4, 160. https://doi.org/10.1007/s44217-025-00592-6
Wanthong, N., & Seechaliao, T. (2025). Development of a Creative Project-Based Learning Model Through the Metaverse that Promotes Creativity and Innovative Work for High School Students in Pilot Schools of Education Sandbox. Journal of Education and Learning, 15(1), 388. https://doi.org/10.5539/jel.v15n1p388
Xie, Z.-B., Cheng, X.-Y., Li, X.-Y., & Zhang, Y.-F. (2025). Team based learning pedagogy enhances the education quality: a systematic review and meta-analysis. BMC Medical Education, 25(1), 580. https://doi.org/10.1186/s12909-025-07175-x
Zhang, P., & Zhang, S. (2024). Multimedia enhanced vocabulary learning : The role of input condition and learner-related factors. System, 122(February), 103275. https://doi.org/10.1016/j.system.2024.103275.
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Firginius Pieter Sawu, Syaiputra Wahyuda Meisa Diningrat
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Journal Template
: 
