
The recent emergence of Artificial Intelligence (AI) image generation has garnered great interest in landscape architecture. In the 2023-2024 academic year, we explored the potential and limitations of AI text-to-image generation in landscape architecture education. Introducing AI into the design studio learning environment brought both opportunities and challenges. Our goal was to balance the creative potential of AI with maintaining academic integrity. Students were exposed to tools such as Adobe Firefly, Bing Image Creator, Dall-E, and Midjourney. Our pedagogical approach emphasized active learning, design thinking, and experiential learning. By integrating AI, we encouraged students to explore futuristic scenarios and challenge conventional design paradigms. AI-generated images can be both highly imaginative and realistic. However, they are not a substitute for human creativity. The success of AI-generated images depends on the quality of prompts and the designer’s ability to interpret and refine results. As AI continues to evolve, it’s important to embrace its potential while remaining aware of its limitations. By understanding AI’s strengths and weaknesses, we can harness its power to create innovative and impactful designs.
Autor / Author: | Rekittke, Jörg; Hayles, Angela |
Institution / Institution: | University College Dublin/Ireland; University College Dublin/Ireland |
Seitenzahl / Pages: | 11 |
Sprache / Language: | Englisch |
Veröffentlichung / Publication: | JoDLA – Journal of Digital Landscape Architecture, 10-2025 |
Tagung / Conference: | Digital Landscape Architecture 2025 – Collaboration |
Veranstaltungsort, -datum / Venue, Date: | Dessau Campus of Anhalt University, Germany 04-06-25 - 07-06-25 |
Schlüsselwörter (de): | |
Keywords (en): | Artificial Intelligence (AI), text-to-image generation, studio-based learning environment |
Paper review type: | Full Paper Review |
DOI: | doi:10.14627/537754060 |
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