Good question, I think we should. Seems like these analytic approaches are broadly useful and could mature into a helpful educational resource. I suspect learners that struggle with a particular concept also share some common identifiable attributes, experiences, or behaviors. Many great teachers already have some ideas about these commonalities, but this expertise is too often underutilized because we don't have a systematic analytic environment to detect them or to support educational actions.
For example, imagine if a physics faculty member knew the textbook a student's ninth grade science teacher used to first explain the scientific method. Could that knowledge reveal something that would be relevant to his instructional strategy? Potentially, and it seems like analytics could help scale such tailoring so that patterns of historical data are used to predict potential misconceptions and to recommend targeted/personalized instructional support. We have a long way to go, but several analytic competitors (such as, Amazon and Netflix) have already illustrated the potential.