We explore collaborative AI systems that work alongside human tutors to improve public speaking outcomes. The paper presents a co-tutoring framework where an AI assistant provides real-time feedback on pacing, clarity, and structure while a human tutor focuses on higher-level coaching and motivation.
Key contributions include a shared state model between human and AI tutors, evaluation on a public-speaking dataset, and design implications for hybrid learning environments.