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A business school in Paris will soon begin using artificial intelligence and facial analysis
to determine whether students are paying attention in class.The software,called Nestor,is
used in two online classes at the ESG business school beginning in September.
The idea,according to LCA founder Marcel Saucet,is to use the data that Nestor
collects to improve the performance of both students and professors.The software uses
students webcams(网络摄像机)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(逐渐减弱),which could
help to improve their teaching,Saucet says.
Advocates for AI in education say that the software is actually unable to teach a course,
but the technology could be used as a digital tutor that would adapt to a student's individual
needs,and help develop more effective studying habits.Such software could also help
teachers by providing feedback on the effectiveness of their teaching,advocates say.
Saucet says Nestor won't store any of the video footage it gets and that his company has
no plans to sell any other data the software collects.In addition to facial recognition and
analysis,the software can integrate()students'calendars to suggest possible study times,
and track their online behavior to pick up on patterns.
Rose Luckin,a professor at the University College London Knowledge Lab,says AI
could unlock the "black box of learning"by providing information on how and when learning
happens.Luckin says a program like Nestor could be useful for students who take classes
remotely,since"there isn't a human there watching them".And while some are concerned
that AI may one day replace teachers,Luckin sees the technology more as an assistant,rather