ã€Global Science and Technology Comprehensive Report】 Students’ distractions can be said to be a major problem for both parents and teachers. This is especially true for the lax networked classrooms. Recently, some people tried to use AI technology to solve this problem. According to the British "Daily Mail" on May 26th, starting from September of this year, two online courses of French ESG Business School will use a facial recognition system called Nestor to measure student participation, even They give warning when they begin to walk.
Nestor is a software developed by LCA Learning Inc. that uses a computer webcam to track eye movements and facial expressions, and analyzes relevant data to assess students’ classroom participation and concentration. In addition, teachers can also use these data to understand what students may miss when their attention is reduced, in order to adjust the test content and consolidate the teaching results.
LCA Learning originally intended to use Nestor in the online classroom, but according to the American media The Verge, the company eventually hopes to apply this software to the real classroom.
The application of this technology has raised people's concerns about privacy security. However, developers of the software stated that Nestor will not store user usage records. Marcel Saucet, founder of LCA Learning, said that the company will not sell any data collected during student monitoring. All data will be encrypted and anonymized. (Internship Compilation: Zhang Qian Reviewer: Li Zongze)
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