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Proceedings of

International Conference on Advances in Computer and Information Technology ACIT 2013

"MINING EDUCATIONAL DATA : A REVIEW ON STUDENTS’S PATTERN OF BEHAVIOURS & PERFORMANCES"

MASITA ABD JALIL MOHD YAZID MD. SAMAN WAN AEZWANI WAN ABU BAKAR
DOI
10.15224/978-981-07-6261-2-14
Pages
64 - 69
Authors
3
ISBN
978-981-07-6261-2

Abstract: “The main focus of lower or higher education institutions is to provide the quality education to its students. One way to achieve the highest level of quality education system is through discovering the hidden knowledge that relied in huge educational datasets. There is an increasing trend in using data mining in education. This new emerging field, called Educational Data Mining (EDM), concerns with developing methods that discover knowledge from data originating from educational environments. Examples of educational domain are discovering knowledge for prediction regarding enrollment of students in a particular course, alienation of traditional classroom teaching model, detection of unfair means used in online examination, detection of abnormal values in the student’s result sheet, prediction about student’s performance and analyzing a pattern of student’s class attendance and student’s class absenteeism. The main objective of this paper is to study and compare the use of several data”

Keywords: Educational Data Mining (EDM), Knowledge Database and Discovery (KDD), Student’s Behaviour, Student’s

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