In this episode of Agile Ed, we tackle one of the most pressing—and emotionally charged—questions facing educators today: Why should students bother doing their own work when it feels like everyone else is offloading to AI and getting better grades? We unpack why it's our job to answer that question, and how we can do it convincingly, compassionately, and consistently.We reflect on what students might be missing when they bypass the messy, meaningful process of learning, especially when it comes to navigating feedback, developing a writing style, and building durable skills. From the blurred lines of co-writing with AI to the pressures of aligning with instructor preferences, we explore how the struggle of learning actually is the learning.The episode also dives into broader systemic issues—like our culture’s obsession with grades and credentials—and how AI is exposing, not creating, these flaws. We discuss alternative assessment, the power of learning literacy, strategies to avoid grade bartering, and the art of TA management in large classes. Finally, we explore how to reflect meaningfully on your own teaching practice—even when the feedback stings—and how to stand firm in your values as an innovative educator, knowing that not everyone will be ready to come along for the ride.AttributionsTeaching in Higher Ed Episode with Mike Perkins and Jasper Roe on a Practical Framework for Ethical AI Integration in Assessment.

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