Student performance in university courses is of great
concern to the higher education where several factors may affect
the performance. This paper is an attempt to apply the data
mining processes, particularly classification, to help in enhancing
the quality of the higher educational system by evaluating student
data to study the main attributes that may affect the student
performance in courses. For this purpose, we have used data
obtained from Vikram University, Ujjain of course B.A. first year
student. The classification rule generation process is based on the
decision tree as a classification method where the generated rules
are studied and evaluated. A system that facilitates the use of the
generated rules is built which allows students to predict the final
grade in a course under study.