Building Subject Pre-requisite Course Maps for On-going Academic Courses

Educational data mining is an emerging discipline, concerned with developing methods for exploring the vast data sets that come from live educational settings in learning environment.. It is a continual process, keeping pace of vision and mission of an institution, also addressing to issues in an innovative , ethical and responsive manner to meet the academic and administrative objectives. Invariably EDM studies orient towards a mandatory step of undertaking a cross sectional view of attributes contributing to learning patterns of the students as a whole. In this paper, a novel method is proposed to build subject pre-requisite course maps of higher semesters for students pursuing bachelors of engineering courses. The dependency computations are done by analyzing their performance in subject prerequisites of previous semesters. This piece of work focuses on entirely new kind of feature vector that is heavily subsumed to affect the most critical mining objective that is predicting subject wise students academic performance well before they face their end semester examinations. CCS Concepts • Information systems➝Database management system engines • Computing methodologies➝Massively parallel and high-performance simulations. This is just an example, please use the correct category and subject descriptors for your submission. The ACM Computing Classification Scheme: http://www.acm.org/about/class/class/2012. Please read the HOW TO CLASSIFY WORKS USING ACM'S COMPUTING CLASSIFICATION SYSTEM for instructions on how to classify your document using the 2012 ACM Computing Classification System and insert the index terms into your Microsoft Word source file.