There is an interesting physics education experiment. A random group of students are shown a lecture on a topic and take a quiz after watching the video. The students rate the lecture. Repeat with a different lecture on the same topic. The students did worse with the higher rated lecture.

There’s teaching students like. There’s teaching where students learn. Sometimes the two intersect. Will an AI education company optimize one that students enjoy or one where they learn better?