YOLOv11 model monitors classroom behavior, reveals engagement drop

Researchers have developed a system for monitoring classroom behavior using computer vision, specifically employing the YOLOv11 model. They collected and annotated a new dataset, the BAV-Classroom dataset, from the Banking Academy of Vietnam, categorizing nine distinct student behaviors. The study found that student concentration tends to decline significantly towards the end of lectures, suggesting a need for improved engagement strategies. This work demonstrates the potential for automated classroom monitoring to enhance academic quality management. AI

IMPACT Demonstrates a practical application of computer vision for educational analytics, potentially improving teaching effectiveness and student engagement.

RANK_REASON Academic paper detailing a new dataset and model evaluation for computer vision application. [lever_c_demoted from research: ic=1 ai=1.0]

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• alphaXiv
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• Banking Academy of Vietnam
• BAV-Classroom dataset
• CatalyzeX
• DagsHub
• Gotit.pub
• Hugging Face
• ScienceCast
• YOLO
• YOLOv11

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