A Noval Approach For Predicting The Academic Performance Of Student

Predicting academic performance of a student is critical for educational institutions because strategic programs can be planned in improving or maintaining students' performance during their period of studies in the institutions. The academic performance of a student is measured by the marks obtained in senior secondary level, their EQ and IQ. An evaluation is done on a student's academic performance and this performance analysis helps educational managers to offer them additional support as well. The IQ and EQ level are diverse in various people. Both have important roles in influencing the development of students learning and academic. In this paper the prediction of the performance of students is done by comparing and classifying their EQ and IQ by several set of algorithms in Weka tool for getting strong results in future, Which can be done easily by using a set of data. The product is supported by data mining concepts, tools and algorithms. A series of questions are to be answered by the students within a stipulated time to calculate these two factors. The factors are calculated along with their senior secondary level marks which is then generated to be given as the input in the prediction phase. The prediction phase then classify the students into clusters and determine whether the students are likely to fail or pass. Also, this is tested and analyzed finally in the testing phase to determine the systems accuracy.