Duke University’s Fuqua School of Business deployed an AI‑enabled classroom system that records and attributes spoken comments to individual students to automate attendance, participation assessment and feedback for instructors. The pilot pairs room audio/video capture with seat‑check‑in and machine transcription to produce time‑stamped, attributable transcripts for faculty use. Fuqua faculty say the technology can strengthen live discussion by supplying objective participation data and tailored coaching for students; developers emphasize opt‑in consent and restricted access to recordings for privacy. The system is already in beta with reported attribution accuracy above 90% and is being calibrated for different room layouts and pedagogical styles. Clarification: the system combines in‑room microphones, student seat check‑ins and speech‑to‑text attribution to produce participation metrics that instructors can use for assessment and coaching rather than for punitive surveillance.