We present a data mining approach to analyze a database containing information about students, in particular, their personal but anonymous data and their exams. We consider the path of a student, that is, the way the student implement her or his exams over the degree-learning time: a student can take an exam immediately after a course, the ideal choice, or later. The aim of this work is to understand how this order affects the performance of the students in terms of graduation time and final grade.
Analyzing paths in a student database / R. Campagni; D. Merlini; R. Sprugnoli. - ELETTRONICO. - (2012), pp. 208-209. (Intervento presentato al convegno 5th International Conference on Eucational Data Mining, EDM 2012 tenutosi a Chania, Greece nel June 19-21, 2012).
Analyzing paths in a student database
CAMPAGNI, RENZA;MERLINI, DONATELLA;SPRUGNOLI, RENZO
2012
Abstract
We present a data mining approach to analyze a database containing information about students, in particular, their personal but anonymous data and their exams. We consider the path of a student, that is, the way the student implement her or his exams over the degree-learning time: a student can take an exam immediately after a course, the ideal choice, or later. The aim of this work is to understand how this order affects the performance of the students in terms of graduation time and final grade.
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