HIGHLIGHTS
SUMMARY
OBJECTIVES: A machine_learning model trained on images of a classroom and thus capable of accurately labeling the classroom layout and activity of many thousands of images much faster and cheaper than employing a human. Advances in machine_learning and computer vision have created a solution to this problem: any classroom containing an installed camera can have a minute by minute report on the classroom environment and class activities. The TailorEd system currently supports two models for classroom analysis using classroom photos to determine the layout of the classroom and the pedagogical activity being performed in . . .
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