Augmenting teacher noticing in science experiments: using computer vision to extract student activity information for science teachers

• Main Author: Chng, Edwin
• Other Authors: School of Mechanical and Aerospace Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2024
• Subjects: Computer and Information Science; Computer vision; Science teaching
• Online Access: https://hdl.handle.net/10356/181107; https://www.ntu.edu.sg/mae/ai-education-singapore-2024/activities/keynote-invited-talk#Content_C021_Col00
• Institution: Nanyang Technological University

During science experiments, teachers are limited in their ability to gather meaningful information about student activities. For example, teachers’ cognitive limit prevents them from managing numerous inputs from multiple students (Sherin and Star, 2011), and teachers’ student interaction limit prev...