The idea of the personalized learning path recommendation has been around for a while now, and while I don't think it solves any real problem in education (as I like to say: "education is not a search problem") it is nonetheless attracting the interest of the business community. This article is a promotional piece for a BitNine graph database use case (available behind a spamwall - it's a 3-page PDF, don't bother). The idea is that the system "recommends appropriate courses and types of questions to solve repeatedly and suggest similar questions. On the basis of comprehensive information covering the student's tendency and concept levels, the solution predicts when the student needs to
repeat his or her study." You don't need to use a graph database to do this, but it makes for a neat infographic.
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