International Journal of Advances in Computer Science and Its Applications
Author(s) : MASITA ABD JALIL, MOHD YAZID MD. SAMAN, WAN AEZWANI WAN ABU BAKAR
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 mining tasks/techniques that have been implemented mostly in the area of educational domain. By this way, the pattern of student’s behavior as well as performance shall be predicted in an efficient manner.