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

S. RAJPER, N. A. SHAIKH, Z. A. SHAIKH

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.

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