Educational Data Mining Over Learning Management System

Abstract

Every student has the capability to be successful in his educational life. Yet far too many of them are unable to meet their potential. In this era of increased competition, it is not simply enough to look at accumulative, high stake results once a year. It is important that educationists, teachers and administrators know about their weak students and help them resolve their issues early on time. Keeping that in mind, we realized that there should be a software that concentrates on student academics. On further research we found that if the large amount of student data generated by LMS is analyzed effectively, it can enable the teachers at NUST to identify potential problem areas and take adequate steps to ensure each student is performing to the best of his/her capacities. Quick and easy access to student data will not only facilitate the educational institutions with timely strategic decisions but also help them with future plans. Unlike other softwares available, we will represent student data in the form of multiple graphs, interactive dashboards and comprehensive reports using advance tools and methods. Our project will add value to the raw unmanaged data by identifying hidden patterns and trends, provide quick and easy access to student data, facilitate the educational institutions with timely strategic decisions and help them with future plans.