Supporting Faculty through AI Transition: Tools for Educational Leaders

Moving beyond "red/yellow/green" taxonomies of AI use, Danny Liu paves the way for flexible conversations between faculty and students about more or less effective and appropriate ways of incorporating AI on specific assignments.

A canonical essay on guiding organizations through radical transformation, outlining the three-stage process of letting go, navigating uncertainty, and building new beginnings.

How comfortable are professionals with outsiders contributing to their expertise? Before ChatGPT, digital tools were already breaking down knowledge boundaries. Lifshitz-Assaf explores what makes some professionals more adaptable to changes like crowdsourcing and collaboration.

Instructional reform is complex and unpredictable, and the intention to change doesn't always translate into action. The TCSR model maps out the practical, cognitive, emotional, and contextual factors that shape instructors' readiness to change and ability to sustain it.

How do faculty navigate AI's impact on college writing? After talking to instructors across 16 institutions, our study finds that teaching choices are shaped by powerful, but often unconscious, assumptions about how humans and AIs coexist--from substitution to competition to collaboration.