AI RESEARCH
Toward Scalable Co-located Practical Learning: Assisting with Computer Vision and Multimodal Analytics
arXiv CS.CV
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ArXi:2603.13679v1 Announce Type: cross This study examined whether a single ceiling-mounted camera could be used to capture fine-grained learning behaviours in co-located practical learning. In undergraduate nursing simulations, teachers first identified seven observable behaviour categories, which were then used to train a YOLO-based detector. Video data were collected from 52 sessions, and analyses focused on Scenario A because it produced greater behavioural variation than Scenario B. Annotation reliability was high (F1=0.933.