Co-Designing With AI

Abstract

As AI technologies continue to evolve, they are reshaping the educational landscape and opening new possibilities for curriculum innovation and course design. While AI has traditionally supported task automation—such as grading, content generation, and revision—this chapter repositions AI as a collaborative partner in instructional design. Rather than viewing AI as a tool that mimics human functions, we propose embracing it as a co-designer that enhances the expertise of educators and instructional designers. We advocate a human-centered, intentional application of AI through meaningful prompts, adaptive workflows, and sound pedagogical strategies. Grounded in foundational instructional design models—Backward Design, ADDIE, and Gagné's Nine Events—and aligned with frameworks such as Bloom's Taxonomy, QM, QLT, and UDL, this chapter offers a learner-centered approach. Through case studies and practical examples, we show how AI can help create inclusive, engaging, and innovative courses while maintaining pedagogical integrity and instructional excellence.

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