Can we use brain scanners and ML to A/B test online lectures to perfection? For example, you can show the top 20 Calculus 2 courses to groups of 50 people each

Can we use brain scanners and ML to A/B test online lectures to perfection? For example, you can show the top 20 Calculus 2 courses to groups of 50 people each, all dawning brain scanners, and create a “brain activation map” for each class from each professor. Among students of the top 10% of professors (as measured by exam results and brain activation), we can analyze the most engaging moments in each course, and hybridize them into a master course. Furthermore, we can analyze differential learning outcomes in males, females, students of different races, and K-clustered psychographic profiles (based on DMN activity and other neurological measures taken before the course). If the learning outcomes are significantly different, then it may be more appropriate to create several different master courses for the people that showed different learning outcomes. A class can be recommended, Netflix style, based on your demographics, neural activation patterns, and learning velocity from past coursework. Everyone would have the best Calculus 2 class, into perpetuity, after one cycle of experimentation and master class creation. The same can be done for all canonical coursework, from Kindergarten through the top undergrad majors to Med/Law/MBAs. The aforementioned learning outcome differentials would be lessened by the “no child left behind” effect of each kid getting a solid grasp of math and science early on with neurologically tailored coursework.