Navigating Your genAI Journey from Improvement to Innovation

This chapter introduces the Adapt–Create–Embed (ACE) framework, a structured progression model for faculty to integrate generative AI into their teaching practice without overwhelming cognitive load or abandoning pedagogical principles. The chapter grounds this framework in established learning theories including the Zone of Proximal Development, Cognitive Load Theory, and the SAMR model, demonstrating how ACE organizes SAMR’s four technology integration levels into three manageable phases. Through six practical activities, the chapter guides faculty from adapting existing materials (e.g., TILTing assignments, aligning with learning outcomes) through creating new resources (e.g., rubrics, differentiated support materials) to embedding genAI into teaching workflows (e.g., analyzing exit tickets, processing course evaluations). Each activity includes specific prompts faculty can use immediately, along with critical questions to evaluate genAI output quality. The framework respects faculty expertise by starting with familiar materials where educators can confidently assess genAI suggestions before progressing to more transformative applications. By developing “genAI intuition,” the capacity to recognize when genAI strengthens versus undermines learning, faculty are better able to move from defensive reactions to purposeful integration. The chapter emphasizes that progress through these phases should be deliberate rather than rushed, with student learning outcomes driving decisions rather than technological capabilities. This sustainable approach transforms genAI from an overwhelming disruption into a pedagogical tool that augments rather than replaces faculty expertise.