Faculty in an AI University
AI can generate practice sets and surface patterns in student data, but it cannot decide what matters, navigate a discouraged classroom, or guide learners into the heart of a discipline. In post four of our series, we examine how the faculty role is expanding—from content delivery to intentional mentorship, complex problem design, and contextual judgment.
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.