From Inside Higher Ed: ...For faculty members who hesitate—for any reason—to assume responsibility for minimizing distractions in the classroom, Chafic Bou-Saba, associate professor for computing technology and information systems at Guilford College, is working on a solution. Bou-Saba is designing a facial recognition system for classroom management. Multiple cameras spread throughout the room will take attendance, monitor whether students are paying attention and detect their emotional states, including whether they are bored, distracted or confused.
“The use of the latest technology was the driving force behind this project,” Bou-Saba said of his research project. “The device will take the stress away [from the teacher] and will document student behavior, if needed, by taking five- to 10-second videos.” The instructor could then say, “Hey, here you are not looking, here you interacted with another student and here you are doing something else.” Bou-Saba hopes that, with training, the AI-powered software could also help detect how much the students are learning. He aims to test the system by the semester’s end...
Full story at https://www.insidehighered.com/news/tech-innovation/teaching-learning/2024/02/27/facial-recognition-heads-class-will-students.
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