Using experiences from machine learning/artificial intelligence in pedagogics

It is interesting to see how now people working in machine learning (ML) are classifying learning strategies or learning methods. Engineering and math has the clear advantage of being very concrete. You could probably call it constructionistic. Those different learning strategies are  classified and advantages are also investigate in relation to different constraints.

Thus, I have a prediction that that is that the work now done in ML will be very useful for pedagogics. How can we use what we learned about optimal teaching in ML to teaching humans or animals? There must be a connection there.