Created by LCA Learning, Nestor uses students’ webcams to analyze eye movements and facial expressions to determine if they are paying attention. It then uses that information to base quiz content on what was covered during those times when students weren’t engaged with the class. Ideally, professors would also be able to use the information to learn when during their lectures students weren’t as attentive, hopefully improving their teaching.
The software is being tested in two online classes at the ESG Management School at the Paris School of Business beginning in September, but its creators are hoping to eventually launch a version that could be used for in-person classes and send real-time notifications to inattentive students.