Modeling an e-teacher’s decisions for e-learners’ motivation using Decision Tree

Abstract

In customary classroom frameworks, understudies are checked by the educators utilizing their everyday execution records and reports. While the e-learners and their educators are isolated by time and space/time or space. In this way, the e-learners experience the ill effects of different sorts of troubles and issues amid learning of any online course . Intelligent Tutoring systems use intelligent agents to assist the e-learners. This study attempts to model such an e-teacher (Intelligent Agent) which will be able to motivate the e-learners to learn the online course. Data Mining technique Decision Tree is used to understand the e-learners’ behavior on learning management system and make decisions accordingly.