Research & Curriculum Interests

My research investigates AI’s role in graphic design education as a collaborative tool that enhances, rather than undermines, learning by promoting critical thinking and ethical integration. When used properly, AI supports ideation and iteration, allowing students to evaluate and refine outputs while deepening their understanding of design principles. Practical examples include prompts for concept generation, feedback loops, ethical mood boards, and comparative logo analysis, each requiring students to critique and build upon AI suggestions manually. This approach prepares future designers for an AI-integrated industry while maintaining academic integrity. Please review some of my sample projects to see how LLMs can be used to enhance classroom instruction without circumventing the need for genuine effort.

New AI Assessment Category

The New Efficiency Metric: Redefining AI Assessment in Design Education For decades, the “quality” of a graphic designer was measured almost exclusively by the final artifact—the sleek logo, the balanced layout, or the evocative color palette. However, as Artificial…

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