If AI Can Complete Coursework, What Is the Purpose of Effort?
Effort matters when it helps students become more capable.
AI can help students finish coursework faster, explain difficult ideas, or supply instant answers. But when a system does the thinking an assignment was designed to cultivate, completing the task no longer means developing the capability. Learning requires what cognitive scientists call desirable difficulties—retrieving ideas from memory, trying solutions, spotting mistakes, and revising an approach.
The real question isn’t whether students do work the hard way, but whether they have the chance to practice the reasoning that builds lasting understanding.
If AI Can Teach, What Becomes the Role of Faculty?
A student uses AI to get unstuck on a difficult reading. That can help—but a clear explanation alone doesn’t guarantee learning. As AI takes on more instructional tasks, faculty’s judgment, course design, and support for students’ deeper understanding matter even more.
Prompting Is a Form of Thinking
Prompting is more than a technique for getting better AI responses. It requires students to define the problem, identify what they know, recognize what they still need, and decide what role AI should play. When students remain responsible for those decisions, prompting becomes a form of metacognition—and a way to learn alongside AI without handing over the thinking.
The Missing Purpose Problem
If students don’t see the why, nothing else matters.
We spend a lot of time talking about AI, academic integrity, and “cheating.”
But there’s a more uncomfortable truth underneath it: When students don’t understand the purpose of what they’re doing…shortcut behavior isn’t laziness. It’s rational.