Analyzing Student Behavior of Engineering Institute using Correlation Mining

Education institutes like colleges are the nursery for future minds of a nation. Knowledge represents the intangible assets of the organization. Quest for increased performance and reliability has made it imperative to develop techniques for better utilization of resources and make better informed decisions. There is a huge intake of students every year in institutes but the throughput is not satisfactory. The need for planning better strategies and adapting according to student behavior to increase productivity is increasing by the hour. Analyzing behavior patterns and providing relevant information turns out to be a challenge in this scenario. A lot of research work has been done to extract behavior patterns and institutes and governments have tried to come up with best possible strategies to exemplify the quality of educational system which has been successfully implemented. Our approach describes a work done in the education sector to understand various dimensions of behavior of college students. The major purpose of the study will be to examine the information seeking behavior of students in the Engineering Institute. Specifically, the study will make an effort to determine the association between students’ academics and behavior and the general evaluation of students’ behavior so that it will benefit the institution pattern of information gathering system by the students. Majority of the college management faces common set of problems which they would like to address. Educators have long understood that behavior difficulties can keep students from functioning productively in class, the relationship between behavior and learning must not only be considered but acted upon.