AINeutralarXiv – CS AI · May 295/10
🧠
Surfacing Isolated Learners with Outcome-Independent Mediation of Feedback between Teachers and Students Using AI
Researchers developed an AI-powered decision layer that identifies struggling students and prioritized course topics without relying on grades, combining student self-reports, observed learning difficulties, and teacher concerns. Testing in a graduate CS course showed the multi-signal approach achieved 96% accuracy in surfacing at-risk learners and aligned with instructor priorities, demonstrating transparent human-AI collaboration in educational settings.