We want to discover association rules among the student score data in order for instance to uncover the link between scores within a same teaching unit of bachelor studies or master's studies, or between different teaching units. The association rule mining should also allow us to explain the good or bad performance of students with regards to their choices of study fields/specialties. The data set need not reveal the real names of students who can be anonymous; however, each student should be identified by a unique ID along the years of his/her studies.
You can check with PSLC DataShop: a data analysis service for the learning science community. The link is:
https://pslcdatashop.web.cmu.edu/index.jsp
I hope this will help.
Best
Is there a free sequential dataset of mobile learners behavior ?@
i want to detect learners preferences in mobile learning by using sequential rule mining
Is there any dataset which consists of student learning problem. For example a student is facing a heavy study load problem in his/her learning experiences
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