AI in Education, Teaching & Learning, Faculty Development Russell Pearson AI in Education, Teaching & Learning, Faculty Development Russell Pearson

If AI Can Provide Feedback, Why Does Human Feedback Still Matter?

AI can polish a sentence in seconds, but good feedback is never just about clean phrasing. While automated tools offer immediate, on-demand corrections, they often miss the deeper purpose of learning: helping students understand their own ideas, navigate misconceptions, and develop critical judgment. AI may show a student how to revise, but human mentorship connects that revision to why it matters and where they need to go next.

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AI Literacy, Assignment Design, Faculty Development, Pedagogy & Teaching Strategies Russell Pearson AI Literacy, Assignment Design, Faculty Development, Pedagogy & Teaching Strategies Russell Pearson

Thinking Under Uncertainty

The Illusion of Certainty

AI can create the impression that uncertainty has disappeared. Ask a question, and an answer appears. Ask for a recommendation, and the tool offers one. Ask for an explanation, and the response often arrives with clarity, structure, and confidence.

That confidence can be useful. But it can also be misleading.

Because many of the most important questions students will face do not have simple, final, or universally correct answers. What is the best solution for this situation? Which source should I trust? What matters most in this decision? What risks should I consider?

Those questions do not ask students simply to retrieve information. They ask students to reason through uncertainty.

Would you like a different excerpt that focuses more on the practical classroom strategies, or perhaps one that sets up the introduction?

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