When AI Arrives in the Classroom, What Happens to Wonder?
Every era forces us to confront truths we once managed to ignore. Ours is the age of artificial intelligence—an age in which information is no longer scarce, in which explanations materialize instantly, and in which students can obtain answers before they have even learned to ask the right questions. In such a moment, it is tempting to imagine that the old pedagogical archetype—the professor as the solitary “sage on the stage”—has finally met its end.
And yet, the deeper temptation is the opposite one: to drift toward a pedagogy hollowed out by comfort, a teaching that performs rather than instructs, a classroom shaped more by consumer expectations than by the pursuit of truth. This is the very drift Mark Edmundson warns us about, and it remains one of the most urgent dangers in contemporary higher education.
So the question is not whether AI will change teaching. It already has. The question is whether we will allow AI to expose how impoverished our understanding of learning had become long before ChatGPT made its debut.
Students do not arrive at our doors as blank slates. They arrive shaped—often constrained—by years of schooling that treat learning as a form of compliance. They have been conditioned to sit still, follow directions, and demonstrate mastery through performance rather than inquiry. Many have quietly absorbed the metaphor that learning is something delivered, poured, transmitted—that their task is to receive, not to create.
No wonder so many feel hesitant to speak, reluctant to risk error, or suspicious of ambiguity. They have internalized the idea that the point of the classroom is to get things right.
But anyone who has ever watched a child at play knows that this metaphor collapses under scrutiny. Children learn by inhabiting the world with wild intensity: touching, testing, experimenting, breaking things open to see how they work. They ask “why?” not to annoy us but because the question is a declaration of aliveness. They learn because they are in relationship with the world—curious, questioning, bold.
Learning, at its core, is active. It is participatory. It is dialogical.
So the challenge before us is not simply to integrate AI into the curriculum. The challenge is to reclaim what it means to teach human beings in a moment when machines can mimic understanding but cannot experience wonder.
The vocation of teaching has never been about delivering content. AI can do that now. Rather, teaching is an ethical commitment: to cultivate spaces where students rediscover their agency, where they engage ideas with both rigor and humility, where they come to see learning as a practice of freedom rather than an obligation to be fulfilled.
This requires a different posture from all of us. Not the old authoritarian stance that pretends uncertainty is weakness. Not the watered-down version of teaching that seeks to entertain rather than provoke. But a way of being in the classroom that is animated by curiosity.
