Nestor AI
Nestor AI (also known as Nestor) is an artificial intelligence program and e-learning class assistant, created by Dr. Marcel Saucet and developed by Nicolas Delhaume.[1]
Description[edit]
The assistant was created as an artificial intelligence and facial analysis program and applies advanced natural language processing, information retrieval, automated reasoning, and machine learning technologies.
The software determines whether students pay attention in class by tracking their eye motions and facial expressions through webcams.[2] When the student watches a video lecture, the artificial intelligence, by the sensor of the webcam and a system of facial recognition, records the movements and reactions of the student.[3] After class, students are quizzed on the lesson, which also include questions from parts of the lesson that they did not pay attention to.[4]
Software
The software incorporates machine learning algorithms to improve tool performance and make it more precise.[5]
Data
The software decodes student’s minds by detecting 20 parts of their faces through webcams while they watch the lectures.[6] There are 20 key markers on the user's face that is analyzed by the artificial intelligence software: eyes, eyebrows, lips, jaw, etc., and Nestor can understand how the user behaves in front of the video lesson.[7] All the data that is collected is encrypted and anonymous.[8]
Operation[edit]
The artificial intelligence in this software program predicts future inattentiveness by studying the student's past behavior. For example, "if a ... student tends to wander off after 2 minutes and 30 seconds into the lecture, Nestor sends a notification, which will appear on the screen, 10 seconds before that timestamp to warn the student."[9] This software determines when a student becomes inattentive.[10] The assistant alerts students in advance to stay focused during the lecture.[11] This program enables teachers to improve their lectures.[12]
Application
Two online classes from the ESG Business School used Nestor to measure student's attentiveness and engagement.[13]
References[edit]
- ↑ Eveleth, Rose (Oct. 29, 2018), "Facing Tomorrow's High-Tech School Surveillance." Vice Magazine.
- ↑ Wiggers, Kyle (Sept. 27, 2018), "Athena Security uses computer vision to detect guns and other weapons." Venturebeat.
- ↑ Mezzofiore, Gianluca (June 1, 2017). "Teachers are using facial recognition to see if students are paying attention." Mashable.
- ↑ Murphy Margi (May 26, 2017), "THAT'LL TEACH YOU A school is using facial recognition technology to work out if pupils are paying attention or sleeping at the back." The Sun.
- ↑ Mode Informatique (June 1, 2017), "Teachers use facial recognition to see if students are paying attention."
- ↑ Id.
- ↑ Mode Informatique (June 1, 2017), "Teachers use facial recognition to see if students are paying attention."
- ↑ Dent, Steve (May 26, 2017), "A Paris school is using AI to monitor distracted students." Engadget.
- ↑ Weiss, Suzannah, (June 1, 2017). "New AI Program Knows When Students are Daydreaming." Teen Vogue.
- ↑ Chang, Lulu (May 29, 2017), "Artificial Intelligence will track whether you're paying attention in class." Digital Trends.
- ↑ Id.
- ↑ Solly, Meilan (Aug. 1, 2017), "Big Brother Knows What You Look Like, and That's Ok?" Smithsonian.
- ↑ MacDonald, Cheyenne (May 26, 2017), "No slacking off in class! Paris school reveals controversial AI system to monitor if pupils are distracted." Daily Mail.
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