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AI for Feedback – Enhancing Peer Review, Rubrics, and Formative Assessment
Providing timely, personalized feedback is essential to student learning—but it often comes at the cost of faculty time and energy. This hands-on workshop explores how artificial intelligence can support and enhance feedback practices in higher education. Drawing inspiration from AI for Educators by Matt Miller, the session focuses on practical, classroom-ready ways to use AI to streamline peer review processes, calibrate rubrics, and deliver formative feedback at scale.
Participants will explore real examples, try AI-powered tools, and learn strategies for integrating AI ethically and effectively—while keeping instructor voice and academic integrity at the center. The workshop is followed by a 30-minute open lab where faculty can experiment with tools, adapt a rubric, or redesign a feedback workflow with guided support.
