Modeling an e-teacher’s decisions for e-learners’ motivation using Decision Tree
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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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How to Cite
S. RAJPER, N. A. SHAIKH, & Z. A. SHAIKH. (2016). Modeling an e-teacher’s decisions for e-learners’ motivation using Decision Tree. Sindh University Research Journal - SURJ (Science Series), 48(2). Retrieved from https://sujo.usindh.edu.pk/index.php/SURJ/article/view/4902
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