INTEGRATING AI PHOTOGRAPHY TOOLS IN DESIGN COURSES

Authors

  • B Reddy Chitkara Centre for Research and Development, Chitkara University, Himachal Pradesh, Solan, 174103, India
  • Dr. Rashmi Rekha Sahoo Associate Professor, Department of Computer Science and Engineering, Institute of Technical Education and Research, Siksha 'O' Anusandhan (Deemed to be University) Bhubaneswar, Odisha, India
  • Kumari K Assistant Professor, Department of Computer Science and Engineering, Presidency University, Bangalore, Karnataka, India
  • Shyam Kumar Assistant Professor, Department of Journalism and mass communication, ARKA JAIN University Jamshedpur, Jharkhand, India
  • Rishabh Bhardwaj Centre of Research Impact and Outcome, Chitkara University, Rajpura- 140417, Punjab, India
  • Kalpana Rawat Assistant Professor,School of Business Management, Noida international University 203201

DOI:

https://doi.org/10.29121/shodhkosh.v6.i2s.2025.6732

Keywords:

AI Photography, Design Education, Creative Pedagogy, Generative Tools, Academic Integrity, Visual Design Integration

Abstract [English]

The incorporation of Artificial Intelligence (AI) photography tools in design pedagogy is a revolutionary move towards rethinking creative pedagogy. This paper examines how AI-powered systems, including generative, editing, and enhancement software, are changing the conceptual, production, and critique of visual work by design students. The research, through a series of surveys, interviews and case studies by using students, educators and creative professionals, explores the pedagogical and ethical consequences of the increasing importance of AI in visual design programs. The paper will comparatively analyze the capabilities of the most popular AI photography tools and provide insights on them, such as Midjourney, Adobe Firefly, and Runway ML, with a particular focus on their creative and technical abilities. It also explores ways of integrating these tools into course designs to enhance active learning, experiential learning and adaptive creativity. The results show that the AI tools increase the exploration of creativity, offer inclusivity through the reduction of technical barriers, and lead to more efficient visualization of concepts and prototyping. Nevertheless, there are still some issues with originality, ownership, and excessive reliance on automation, and that can diminish the traditional photographic and designing ability. Key ethical factors of responsible integration include data privacy, ownership of copyright, and upholding academic integrity.

References

Amer, S. (2023). AI Imagery and the Overton Window (arXiv :2306.00080). arXiv. DOI: https://doi.org/10.2139/ssrn.4776793

Figoli, F. A., Rampino, L., and Mattioli, F. (2022). AI in Design Idea Development: A Workshop on Creativity and Human–AI Collaboration. In Proceedings of DRS2022: Bilbao (Bilbao, Spain, June 25–July 3, 2022). https://doi.org/10.21606/drs.2022.414 DOI: https://doi.org/10.21606/drs.2022.414

Guo, X., Xiao, Y., Wang, J., and Ji, T. (2023). Rethinking Designer Agency: A Case Study of Co-Creation Between Designers and AI. In Proceedings of the IASDR 2023: Life-Changing Design (Milan, Italy, October 9–13, 2023). https://doi.org/10.21606/iasdr.2023.478 DOI: https://doi.org/10.21606/iasdr.2023.478

Hanafy, N. O. (2023). Artificial Intelligence’s Effects on Design Process Creativity: A Study on used AI Text-To-Image in Architecture. Journal of Building Engineering, 80, 107999. https://doi.org/10.1016/j.jobe.2023.107999 DOI: https://doi.org/10.1016/j.jobe.2023.107999

Maksoud, A., Al-Beer, B., Hussien, A., Dirar, S., Mushtaha, E., and Yahia, M. (2023). Computational Design for Futuristic Environmentally Adaptive Building forms and Structures. Architectural Engineering, 8, 13–24. https://doi.org/10.23968/2500-0055-2023-8-1-13-24 DOI: https://doi.org/10.23968/2500-0055-2023-8-1-13-24

Maksoud, A., Al-Beer, H. B., Mushtaha, E., and Yahia, M. W. (2022). Self-Learning Buildings: Integrating Artificial Intelligence to Create a Building that Can Adapt to Future Challenges. IOP Conference Series: Earth and Environmental Science, 1019, 012047. https://doi.org/10.1088/1755-1315/1019/1/012047 DOI: https://doi.org/10.1088/1755-1315/1019/1/012047

Maksoud, A., Mushtaha, E., Chouman, L., Al Jawad, E., Samra, S. A., Sukkar, A., and Yahia, M. W. (2022). Study on Daylighting Performance in the CFAD Studios at the University of Sharjah. Civil Engineering and Architecture, 10, 2134–2143. https://doi.org/10.13189/cea.2022.100532 DOI: https://doi.org/10.13189/cea.2022.100532

Martínez, G., Watson, L., Reviriego, P., Hernández, J., Juarez, M., and Sarkar, R. (2023). Towards Understanding the Interplay of Generative Artificial Intelligence and the Internet. arXiv (arXiv:2306.06130). DOI: https://doi.org/10.1007/978-3-031-57963-9_5

Müezzinoğlu, M. K., Akan, S., Dilek, H. Y., and Güçlü, Y. (2023). An Analysis of Spatial Designs Produced Through Midjourney in Relation to Creativity Standards. Journal of Design, Resilience, Architecture and Planning, 4, 286–299. https://doi.org/10.47818/DRArch.2023.v4i3098 DOI: https://doi.org/10.47818/DRArch.2023.v4i3098

Oppenlaender, J. (2023). The Cultivated Practices of Text-To-Image Generation. arXiv (arXiv:2306.11393). DOI: https://doi.org/10.1007/978-3-031-66528-8_14

Paananen, V., Oppenlaender, J., and Visuri, A. (2023). Using Text-To-Image Generation for Architectural Design Ideation. International Journal of Architectural Computing, 1–17. https://doi.org/10.1177/14780771231222783 DOI: https://doi.org/10.1177/14780771231222783

Samuelson, P. (2023). Generative AI Meets Copyright. Science, 381, 158–161. https://doi.org/10.1126/science.adi0656 DOI: https://doi.org/10.1126/science.adi0656

Tang, Y., Ciancia, M., Wang, Z., and Gao, Z. (2024). What’s Next? Exploring Utilization, Challenges, and Future Directions of AI-Generated Image Tools in Graphic Design (arXiv:2406.13436). arXiv.

Tong, H., Türel, A., Şenkal, H., Yagci Ergun, S. F., Güzelci, O. Z., and Alaçam, S. (2023). Can AI Function as a New Mode of Sketching? International Journal of Emerging Technologies in Learning, 18, 234–248. https://doi.org/10.3991/ijet.v18i18.42603 DOI: https://doi.org/10.3991/ijet.v18i18.42603

Zhang, Z., Fort, J. M., and Giménez Mateu, L. (2023). Exploring the Potential of Artificial Intelligence as a Tool for Architectural Design: A Perception Study Using Gaudí’s works. Buildings, 13, 1863. https://doi.org/10.3390/buildings13071863 DOI: https://doi.org/10.3390/buildings13071863

Algorithmic Aesthetics and Artificial Intelligence in Visual Arts, Cultural Education, and Creative Practice

Downloads

Published

2025-12-16

How to Cite

B Reddy, Sahoo, R. R., Kumari K, Kumar, S., Bhardwaj, R., & Rawat, K. (2025). INTEGRATING AI PHOTOGRAPHY TOOLS IN DESIGN COURSES. ShodhKosh: Journal of Visual and Performing Arts, 6(2s), 417–427. https://doi.org/10.29121/shodhkosh.v6.i2s.2025.6732

Issue

Vol. 6 No. 2s (2025): SPECIAL ISSUE ON ALGORITHMIC AESTHETICS AND ARTIFICIAL INTELLIGENCE IN VISUAL ARTS, CULTURAL EDUCATION, AND CREATIVE PRACTICE

Section

Articles

License

Copyright (c) 2025 B Reddy, Dr. Rashmi Rekha Sahoo, Kumari K, Shyam Kumar, Rishabh Bhardwaj, Kalpana Rawat

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

With the licence CC-BY, authors retain the copyright, allowing anyone to download, reuse, re-print, modify, distribute, and/or copy their contribution. The work must be properly attributed to its author.

It is not necessary to ask for further permission from the author or journal board. 

This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge.

Crossref
Scopus
Google Scholar
Europe PMC