A Review on Prediction of Academic Performance of Students at-Risk Using Data Mining Techniques
Preet Kamal1 , Sachin Ahuja2 1,2 CURIN, Chitkara University, Punjab, India. E-mail: kamal.preet@chitkara.edu.in, sachin.ahuja@chitkara.edu.in Abstract: Educational data mining is the procedure of converting raw data collected from educational databases into some useful information. It can be helpful in designing and answering research questions like performance prediction of students in academics, factors that affect the students’ performance, help the teachers in understanding the problems faced by the students to understand the course content and complexity of the subject taken so that the teachers can take timely action to control the dropout rate. This also includes improving the teaching learning process so that the interventions can be taken at the right time to improve the performance of the student. This paper is the review of the research work done in the field of educational data mining for the prediction of students’ performance. The factors that influence the perfor...