Generative AI as a Live Design Mentor: A Mixed-Reality Approach to Graphic Design Education
DOI:
https://doi.org/10.51903/ijgd.v4i1.2375Keywords:
Generative AI, Mixed Reality, Graphic Design Education, AI-Based Learning Mentor, Digital Design PedagogyAbstract
The transformation of graphic design education in the post-pandemic era has introduced new challenges in fostering meaningful visual interactions between students and AI-based technologies. This context calls for design approaches that are not only technically adaptive but also conceptually reflective. This study aims to explore and develop a visual approach to capture the creative engagement of design students in hybrid learning environments, specifically through prompt-based experimentation with AI-generated visuals. The research adopts a Design-Based Research (DBR) methodology in a single-case study, involving iterative cycles of visual design, reflection, and evaluation. Data were collected through observation, design documentation, and narrative analysis of visual outputs. The findings reveal that AI prompt interventions encouraged a reinterpretation of the creative process, highlighting students' roles as active interpreters in shaping meaningful visuals. The project outcomes include a series of digital experimental visuals that symbolically and contextually represent human–AI interaction. This study concludes that designers must be positioned as meaning-makers within AI-assisted visual systems, and it opens possibilities for more inclusive and participatory design practices in the future. The implication is that graphic design can serve as a critical bridge between technology, human values, and ethical visual communication within the evolving landscape of digital learning.
References
Al-Nawaiseh, S. J., Alkasasbeh, W., & Al-Said, K. (2025). The Effectiveness of Using Graphic Design Programs in Enhancing Visual Thinking Skills among Educational Technology Students in Jordan. International Journal of Innovative Research and Scientific Studies, 8(1), 1404–1411. https://doi.org/10.53894/ijirss.v8i1.4637
Arada, K., Sanchez, A., & Bell, P. (2023). Youth as Pattern Makers for Racial Justice: How Speculative Design Pedagogy in Science Can Promote Restorative Futures through Radical Care Practices. Journal of the Learning Sciences, 32(1), 76–109. https://doi.org/10.1080/10508406.2022.2154158
Banh, L., & Strobel, G. (2023). Generative Artificial Intelligence. Electronic Markets, 33(1), 63. https://doi.org/10.1007/s12525-023-00680-1
Bec, A., Moyle, B., Schaffer, V., & Timms, K. (2021). Virtual and Mixed Reality for Second-Chance Tourism. Tourism Management, 83, 104256. https://doi.org/10.1016/j.tourman.2020.104256
Çiçek, S., Turhan, G. D., & Özkar, M. (2023). Reconsidering Design Pedagogy through Diffusion Models. Proceedings of the International Conference on Education and Research in Computer Aided Architectural Design in Europe, 1, 31–40. https://doi.org/10.52842/conf.ecaade.2023.1.031
Dooly, M., & Darvin, R. (2022). Intercultural Communicative Competence in the Digital Age: Critical Digital Literacy and Inquiry-Based Pedagogy. Language and Intercultural Communication, 22(3), 354–366. https://doi.org/10.1080/14708477.2022.2063304
Epstein, Z., Hertzmann, A., Herman, L., Mahari, R., Frank, M. R., Groh, M., Schroeder, H., Smith, A., Akten, M., Fjeld, J., Farid, H., Leach, N., Pentland, A., & Russakovsky, O. (2023). Art and the Science of Generative AI: A Deeper Dive. Science, 380(6650), 1110–1111. https://doi.org/10.1126/science.adh4451
Feuerriegel, S., Hartmann, J., Janiesch, C., & Zschech, P. (2024). Generative AI. Business and Information Systems Engineering, 66(1), 111–126. https://doi.org/10.1007/s12599-023-00834-7
Fitria, T. N. (2021). Artificial Intelligence (AI) in Education: Using AI Tools for Teaching and Learning Process. Prosiding Seminar Nasional & Call for Papers STIE AAS, 4(1), 134–147. https://prosiding.stie-aas.ac.id/index.php/prosenas/article/view/106
Fui-Hoon Nah, F., Zheng, R., Cai, J., Siau, K., & Chen, L. (2023). Generative AI and ChatGPT: Applications, Challenges, and AI-Human Collaboration. Journal of Information Technology Case and Application Research, 25(3), 277–304. https://doi.org/10.1080/15228053.2023.2233814
Gill, A., Irwin, D., Towey, D., & Zhang, Y. (2023). Using Digital Pedagogy to Redefine Design Education. In Transforming the Future of Learning with Educational Research, 171–190. https://doi.org/10.1007/978-3-031-32811-4_10
Gozalo-Brizuela, R., & Garrido-Merchan, E. C. (2023). ChatGPT Is Not All You Need: A State of the Art Review of Large Generative AI Models. arXiv. http://arxiv.org/abs/2301.04655
Huang, Y., & Wang, C. (2024). Image, Symbol, and Philosophy: Meaning Construction and Semiotic Analysis in Graphic Design. Cultura: International Journal of Philosophy of Culture and Axiology, 21(2), 232–245. https://doi.org/10.70082/cijpca.v21i2.131
Indrawati, D., Amanina, N. A., & Maulida, L. (2025). AI-Augmented Branding: Exploring The Impact of Generative Design Tools on Visual Identity Development in the Creative Industry. International Journal of Graphic Design, 3(2), 192–212. https://doi.org/10.51903/ijgd.v3i2.2766
Karimi, H., & Khawaja, S. (2024). Educational Leadership Research: Methodological Trends (2016-2019). Progress in Language, Literature and Education Research, 9, 36–54. https://doi.org/10.9734/bpi/pller/v9/136
Kent, L. D. A., Snider, C. M., Gopsill, J. A., & Hicks, B. J. (2021). Mixed Reality in Design Prototyping: A Systematic Review. Design Studies, 77, 101046. https://doi.org/10.1016/j.destud.2021.101046
Kröll, M., & Burova-Keßler, K. (2024). AI-Based Learning Recommendations: Possibilities and Limitations. Artificial Intelligence and Social Computing, 122. https://doi.org/10.54941/ahfe1004648
McLain, M. (2022). Towards a Signature Pedagogy for Design and Technology Education: A Literature Review. International Journal of Technology and Design Education, 32(3), 1629–1648. https://doi.org/10.1007/s10798-021-09667-5
Meroño, L., Calderón, A., & Arias-Estero, J. L. (2021). Digital Pedagogy and Cooperative Learning: Effect on the Technological Pedagogical Content Knowledge and Academic Performance of Pre-Service Teachers. Revista de Psicodidactica, 26(1), 53–61. https://doi.org/10.1016/j.psicod.2020.10.002
Moldenæs, T., & Pettersen, H. M. (2021). The professional project of graphic designers and universities’ visual identities. Journal of Professions and Organization, 8(2), 184–199. https://doi.org/10.1093/jpo/joab010
Nugraha, A. R., & Iskandar, M. Y. (2024). Development of Video Tutorials as a Media for Learning Graphic Design in Vocational High Schools. JERIT: Journal of Educational Research and Innovation Technology, 1(1), 1–11. https://doi.org/10.34125/jerit.v1i1.1
Pividori, M., & Greene, C. S. (2024). A Publishing Infrastructure for AI Assisted Academic Authoring. Journal of the American Medical Informatics Association, 31(9), 2103–2113. https://doi.org/10.1093/jamia/ocae139
Ramli, H., Ibrahim, N., Prasetyaningrum, P. T., & Saedon, M. A. M. (2024). Graphic Design and Education: A Systematic Review on The Evolution, Diverse Aspects, Innovations in Teaching Methods, and Interconnected Changes in Design. Journal of ICT in Education, 11(2), 42–54. https://doi.org/10.37134/jictie.vol11.2.4.2024
Rodés, V., Porta, M., Garófalo, L., & Enríquez, C. R. (2021). Teacher Education in the Emergency: A MOOC Inspired Teacher Professional Development Strategy Grounded in Critical Digital Pedagogy and Pedagogy of Care. Journal of Interactive Media in Education, 2021(1), 12. https://doi.org/10.5334/jime.657
Yang, M., Park, C., Kang, J., Kim, J., Kim, T., Song, H., & Han, J. (2025). PracticeDAPR: An AI-based Education-Supported System for Art Therapy. Proceedings of the ACM on Human-Computer Interaction, 9(2), 1-31. https://doi.org/10.1145/3711112
Zhou, F., Qiao, Y., Li, Q., & Wang, Y. (2025). Real-Time Enhancement of Low-Light Images Using Generative Adversarial Networks (GANs). Journal of Technology Informatics and Engineering, 4(1), 1–20. https://doi.org/10.51903/jtie.v4i1.279
Zohny, H., McMillan, J., & King, M. (2023). Ethics of Generative AI. Journal of Medical Ethics, 49(2), 79–80. https://doi.org/10.1136/jme-2023-108909
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