Integrating art and AI: Evaluating the educational impact of AI tools in digital art history learning
Abstract
This study delves into the burgeoning intersection of Artificial Intelligence (AI) and art history education, an area that has been relatively unexplored. The research focuses on how AI art generators impact learning outcomes in art history for both undergraduate and graduate students enrolled in Ancient Art courses, covering eras from ancient Mesopotamia to the fall of Rome. Utilizing a mixed-methods approach, the study analyzes AI-generated artworks, reflective essays, and survey responses to assess how these generative tools influence students’ comprehension, engagement, and creative interpretation of historical artworks. The study reveals that the use of AI tools in art history not only enhances students’ understanding of artistic concepts but also fosters a deeper, more nuanced appreciation of art from the periods studied. The findings indicate that engaging with AI tools promotes critical thinking and creativity, which are crucial competencies in the study of art history. Survey data further suggest that the integration of AI in art history positively influences students’ perceptions of the discipline, aligning well with contemporary digital trends. One of the significant outcomes of the study is the varied experiences of students with AI tools. While some faced challenges with the technology, particularly in accurately capturing complex artwork details and crafting effective prompts, others found success in using AI to generate detailed and creative interpretations of historical pieces. These experiences underscore the potential of AI as a valuable pedagogical tool in art history and humanities education, offering novel insights into teaching methodologies.
References
Donahue-Wallace K, La Follette L, Pappas A. Teaching art history with new technologies: Reflections and case studies. Cambridge Scholars Publishing; 2009.
Kutis B. Scaffolding the Formal Analysis Assignment in Art History Courses to Promote Learning. Journal of Teaching and Learning with Technology, 2020; 9(1).
Dow AW. Composition: A series of exercises in art structure for the use of students and teachers. University of California Press; 2023.
Black CV, Barringer T. Decolonizing Art and Empire. The Art Bulletin, 2022; 104(1), 6-20.
Graham ME, Bailey C. Digital images and art historians–Compare and contrast revisited. Art Libraries Journal, 2006; 31(3), 21-24.
Alpers P. Ut Pictura Noesis? Criticism in literary studies and art history. In: New Directions in Literary History. Routledge; 2022. pp. 199-220.
Hutson J, Olsen T. Digital humanities and virtual reality: A review of theories and best practices for art history. International Journal of Technology in Education (IJTE), 2021; 4(3), 491-500.
Hutson J, Olsen T. Virtual Reality and Art History: A Case Study of Digital Humanities and Immersive Learning Environments. Journal of Higher Education Theory and Practice. 2022; 22(2), 49-64. doi: 10.33423/jhetp.v22i2
Hutson J, Olsen T. Virtual Reality and Art History: A Case Study of Digital Humanities and Immersive Learning Environments. Journal of Higher Education Theory and Practice, 2022; 22(2).
Zullich M, Macovaz V, Pinna G, Pellegrino FA. An artificial intelligence system for automatic recognition of punches in fourteenth-century panel painting. IEEE Access, 2023; 11, 5864-5883.
Hutson J, Robertson B. Exploring the Educational Potential of AI Generative Art in 3D Design Fundamentals: A Case Study on Prompt Engineering and Creative Workflows. Global Journal of HUMAN-SOCIAL SCIENCE: A Arts & Humanities-Psychology, 2023; 23(2).
Gu J, Han Z, Chen S, et al. A systematic survey of prompt engineering on vision-language foundation models. arXiv, 2023; arXiv:2307.12980.
Walton N. There are no formal elements. Debates in Art and Design Education, 2020; 66.
Gasper-Hulvat M. Active learning in art history: A review of formal literature. Art History Pedagogy & Practice, 2017; 2(1), 2.
Avci H, Pedersen S, Thomas A. Writing a Formal Analysis of Art in a Game-Based Learning Environment. In: EdMedia+ Innovate Learning. Association for the Advancement of Computing in Education (AACE); 2020. pp. 669-671.
Elgammal A, Liu B, Kim D, et al. The shape of art history in the eyes of the machine. In: Proceedings of the AAAI Conference on Artificial Intelligence. 2018.
Freedman K. Teaching visual culture: Curriculum, aesthetics, and the social life of art. Teachers College Press; 2003.
Olin M. Formal Analysis: Art and Anthropology. Ideas of’Race’in the History of the Humanities, 2017; 89-111.
Prown JD. Style as evidence. Winterthur Portfolio, 1980; 15(3), 197-210.
Locher P, Krupinski E, Schaefer A. Art and authenticity: Behavioral and eye-movement analyses. Psychology of Aesthetics, Creativity, and the Arts, 2015; 9(4), 356.
Nelson A. Visual Thinking Strategies from the museum to the library: Using VTS and art in information literacy instruction. Art Documentation: Journal of the Art Libraries Society of North America, 2017; 36(2), 281-292.
Dolšina M. Educational role of art history as a school subject area in programmes of formal education in Slovenia. The Journal of Education, Culture, and Society, 2015; 6(1), 227-241.
Mazzone M, Elgammal A. Art, creativity, and the potential of artificial intelligence. In: Arts. MDPI; 2019.
Dehouche N, Dehouche K. What’s in a text-to-image prompt? The potential of stable diffusion in visual arts education. Heliyon. 2023.
Jiang HH, Brown L, Cheng J, et al. AI Art and its Impact on Artists. In: Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society. 2023. pp. 363-374.
Hutson J, Harper-Nichols M. Generative AI and Algorithmic Art: Disrupting the Framing of Meaning and Rethinking the Subject-Object Dilemma. Global Journal of Computer Science and Technology: D, 2023; 23(1).
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