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 Complete Assessments, What Is Assessment For?
A student turns in a flawless essay—clear argument, strong organization, credible sources. But how much reflects genuine comprehension, and how much was shaped by an algorithm? If AI can complete the tasks we traditionally grade, the goal isn't to police the tools, but to shift our focus from the final product to the process: the choices students make, the reasoning they defend, and the judgment they bring to their own work.
Cognitive Offloading: What Should We Hand Over to AI?
AI can make learning easier, but easier does not always mean better. Cognitive offloading can free students to focus on more meaningful thinking, but it can also remove the very effort needed to build understanding, judgment, and independence. The challenge is helping students decide what they can responsibly hand over to AI—and what thinking they still need to do themselves.