My Review of Redefining creative education: a case study analysis of AI in design courses; by Mohd Firdaus Naif Omran Zailuddin et al., 2024
- Nana Oguntola
- May 1
- 3 min read
The article investigates the impact of AI tools on creative education, specifically creative design within a creative design curriculum (Page 1) which consisted of production design fine art and digital artistry.
Students were shown how to use AI tools within their practice.
The literature reviewed featured some of the literature I have encountered in this space such as Zhang et al., 2022, Yang et al., 2021, and Holmes et al,. 2023, but there were many unfamiliar writers in the review. This made me feel like I was lagging behind. From the start of my doctorate I have said that AI is developing so fast I feel my findings would be irrelevant by the time I finished it. These new writings made me feel that way.
In summary the literature review discussed the usefulness and value of integrating AI into creative education.
The methodology was case studies where students used Dall-E within creative design, Wombo Dream in Mixed media, remove.bg and Prisma within computer and arts.
The data was compiled using a triangulated approach which included student and teacher interviews, work produced and observation.
The findings indicated that students found the tools easy to use, provided choice and allowed them to expand their creative horizons and imagination. ( A discussion proposed by Alexander Manu in his book: Transcending Imagination: Artificial Intelligence and the Future of Creativity, 2024)
The researchers concluded that AI was no longer on the periphery but needed to be incorporated within creative education but with a clear understanding that human creativity, artistic education and knowledge remains at the centre of practice. This is confirmed by Manu, 2024; Alex Frohlick, July 2020 and Eric Zhou, Dokyun Lee, 2024 who posit the value of a creative education for the effective use of Gen AI.
The researchers present the need for a new pedagogical approach which includes the use of AI in creative education.
They referenced Gardners's Multiple Intelligence Theory(Gardner and Hatch, 1989), Design Thinking (Gerardou et al., 2022) , Csikszentmihalyi's Flow Theory (Mahfouz et al., 2020) , Torrance Model (Kim, 2006), Problem based Learning Approach (Albanese and Dast, 2013)and Constructivist Learning Theory (Chuang, 2021; Zajda, 2021). Whilst these are relevant and useful they do not effectively provide a new single, cohesive pedagogical approach for the current revolution in artistic and creative education in relation to AI.
The researchers conclude ‘....ethical considerations loom large in the integration of AI into art creation, raising complex questions regarding authorship, ownership, and the role of AI as a “creator.” Engaging in critical discussions and developing frameworks to navigate these ethical boundaries responsibly is imperative for educators and researchers alike. By addressing these challenges head-on, the integration of AI into design education can be approached with a thoughtful and ethically informed perspective, ultimately enriching the educational experience for students while respecting the integrity of artistic expression’.
This is interesting to me as my pilot study ( which can be found here: https://www.nanaoguntola.me/_files/ugd/36b987_018f748a115f4c42a41b275bbef4fd47.pdf), uncovered this dichotomy as well but it also suggests there is still a gap in the literature and within the pedagogical approach to creative education for the development of a new theory which defines the practice of AI in creative education and in my case, specifically, filmmaking education and practice.
A gap, my doctorate aims to fill.
References
Redefining creative education: a case study analysis of AI in design courses Mohd Firdaus Naif Omran Zailuddin et al,. May 2024, file:///C:/Users/me/Downloads/jrit-01-2024-0019.pdf
Transcending Imagination: Artificial Intelligence and the Future of Creativity
Alexander Manu, 2024
Alex Frohlick, Artificial Intelligence and Contemporary Film Production: A Preliminary Survey, July 2020,
Eric Zhou, Dokyun Lee
Generative artificial intelligence, human creativity, and art
PNAS Nexus, Volume 3, Issue 3, March 2024, pgae052, https://doi.org/10.1093/pnasnexus/pgae052
Wayne Holmes, Jen Persson, Irene-Angelica Chounta, Barbara Wasson and Vania Dimitrova ARTIFICIAL INTELLIGENCE AND EDUCATION A critical view through the lens of human rights, democracy and the rule of law, 2022, Council of Europe
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