French School Will Use Facial Recognition To Try To Improve Student Performance

The idea is to use the data to improve the performance of both students and professors. The software uses students’ webcams to analyze eye movements and facial expressions and determine whether students are paying attention to a video lecture. It then formulates quizzes based on the content covered during moments of inattentiveness. Professors would also be able to identify moments when students’ attention waned, which could help to improve their teaching, Marcel Saucet, founder of LCA Learning, says.

The the software, called Nestor, was created by LCA Learning and will be used in two online classes at the ESG business school beginning in September.

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