Transforming Technical Writing: The AI Revolution in Tech Comm Education
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Abstract
This article features an in-depth interview with Lance Cummings, a professor in the Professional Writing program at the University of North Carolina Wilmington, exploring how generative AI is revolutionizing technical communication education and practice.
Cummings discusses his journey with AI integration in education, emphasizing that writing is not merely text generation but a complex process embedded in networks of people, places, and things. He frames AI as a collaborative partner that enhances human capabilities rather than replacing them. The interview covers how AI influences the rhetorical dimensions of technical communication—invention, organization, style, delivery, and memory—while highlighting the importance of teaching students to think critically about AI's outputs.
The article addresses common misconceptions about AI among students and educators, practical applications of AI tools in technical writing workflows, and challenges in implementing AI in educational settings. Cummings advocates for an experimental, collaborative approach to AI adoption, arguing that technical communicators are uniquely positioned to navigate the changing landscape due to their adaptability and understanding of complex workflows. He proposes that the future of technical communication lies not in fearing AI but in reimagining content strategy as a human-AI collaborative process focused on solving complex problems and managing information effectively.
