Feedback is one of the most powerful tools for supporting student learning, but providing quality feedback can also be one of the most time-intensive parts of teaching. AI-assisted grading and feedback tools offer new possibilities for helping you respond to student work more efficiently, consistently, and constructively. This session examines how you can use AI to support feedback practices while maintaining fairness, transparency, academic judgment, and meaningful instructor presence.
Why watch?
AI-assisted feedback requires careful judgment. This webinar will help you distinguish between uses of AI that can support timely, formative, rubric-aligned feedback and uses that may compromise fairness, privacy, accuracy, or student trust. We’ll focus on practical techniques that keep human expertise at the center of assessment while reducing some of the repetitive labor involved in feedback.