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“Once per second, it takes a photo of the entire class. Deep-learning algorithms identify each student’s face & classify their behavior: listening, answering questions, writing, interacting with other students, or sleeping.”
“The interface allows teachers to view scores for every student in class. A green down arrow appears next to the student’s score when it decreases, and a red up arrow when it increases. A bar graph shows how many minutes the student spent” concentrating.
In another school, emotion recognition “data is used to generate a student’s score, which is displayed on a screen installed on the wall of each classroom. Each class’s overall attention level also displays on a huge screen in the hallway for the whole school to compare & rank.”
1 school’s students wear “smart bracelets” that “track their location. And a [US startup] has signed a deal...to provide schools with 20,000 headsets that monitor student concentration levels by reading & translating their brain signals in class.”
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