A STUDY OF STUDENT’S ACADEMIC PERFORMANCE USING DECISION TREE

COMPUTER SCIENCE,DATA MINING.

The main objective of this paper is an attempt to use data mining methodologies to study and try to analyze and predict the student’s performance in the courses in any educational Institution, also using data mining processes, particularly classification, to help in enhancing the educational institutions by evaluating and classifying student data to study the main attributes that may affect the student performance in courses. It present an approach to classifying students in order to predict their final grade based on certain features extract from educational data bases which are collected from an Institutes . It included student’s academic as well as personal characteristics attributes which influence the performance of student and also help to predict the result whether he/she can get admitted or not in particular course . For this purpose, ESTARD DATA MINER V3.0 software is used for mining student related academic data. In this study we used supervised real dataset from an academic Institution. This experimental study show how the academic and personal attributes and both together of any student help to make better decision about any educational policies like which students are most likely are eligible to take admission in any course, which one will get what grades in any course on the basis of their Academic and Personal Characteristics collected as a Database.

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