Author: Christopher Rowell

in Case Studies

Copilot said: The MA Photography and Digital Practice course treats AI as a subject for critical engagement rather than simple adoption or avoidance, requiring students to critically justify and reflect on their use, refusal, or hybrid use of AI tools through their creative practice, research, and assessments.

#1: Getting Started with AI

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Artificial Intelligence (AI) is increasingly shaping how we teach, learn, and create across UAL. This blog series called “Getting Started with AI” is designed to help you explore its potential in a structured, practical way, starting from where you are now, regardless of your prior experience. Each post in the series will introduce a different…

#2: Using Copilot Chat in Creative Arts Education

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Artificial intelligence tools are rapidly becoming part of the digital environment our students work in. One tool that is already widely available across UAL is Microsoft Copilot Chat. For tutors working in creative arts education, Copilot Chat can support ideation, research, writing, and reflection, while also providing opportunities to discuss the role of AI in…

#3: Using Adobe Firefly in Creative Arts Education

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AI image generation tools are rapidly becoming part of the visual culture that creative arts students engage with. One tool that has gained particular attention in design and creative education is Adobe Firefly. Because it sits within UAL’s Adobe ecosystem it offers opportunities for experimentation while connecting directly to tools many art and design students…

#4: Writing Better Prompts for Creative Work

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In creative arts education, learning how to write effective prompts can become part of the creative process itself. Prompt writing encourages students to think carefully about concepts, visual language, materials, style, and context. This post explores how tutors can introduce prompt writing as a creative skill in art and design education. What is a prompt?…

#5: AI for Idea Generation and Creative Research

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One of the most valuable uses of artificial intelligence in creative education is not producing finished work, but supporting the early stages of thinking. Many creative projects begin with a period of exploration: researching a topic, generating ideas, and identifying interesting conceptual directions. Generative AI tools can assist with this phase by helping tutors and…

#6: AI for Visual Development and Mood Boards

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Visual research is an important stage in many creative projects. Before moving into making or production, students often collect images, references, materials, and visual inspirations that help shape the direction of their work. Mood boards are commonly used to organise these references and communicate a visual language for a project. AI image generation tools can…

#7. AI in the Studio: Supporting Iterative Creative Practice

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Studio-based learning is central to many areas of creative arts education. In the studio, students develop ideas through experimentation, testing materials, sketching, prototyping, and responding to feedback. This process is rarely linear. Instead, it involves cycles of trial, reflection, and refinement. AI tools can support this iterative creative process by helping students quickly explore variations…

#8: AI and Assessment in Creative Arts Education

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