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What can closed sets of students and their marks say?
This paper presents an application of formal concept analysis to the study of student assessment data. Formal concept analysis (FCA) is an algebraic framework for data analysis and knowledge representation that has been proven useful in a wide range of application areas such as life sciences, psychology, sociology, linguistics, information technology and computer science. We use the FCA approach to represent the structure of an educational domain under consideration as a concept lattice. In this paper, we aim at building lattice-based taxonomies to represent the structure of the assessment data to identify the most stable student groups w.r.t the students achievements (and dually for courses marks) at certain periods of time and to track the changes in their state over time.