In the current scenario, learning has taken a completely new dimension. New methods of teaching like E-learning and collaborative learning etc have computerized the learning process to a large extent. But the teachers' presence is still mandatory at all times. Also the current systems have low reliability so the teacher has to monitor them constantly. To solve this problem this paper introduces an automated question answering system. This proposed system answers the queries posted by the student in a more interactive way like a virtual teacher (chatbot system). The Q&A knowledge base can be accessed and modified by the instructor who could also know the areas where the students are more prone to doubts thus helping the student as well as the instructor. © 2012 IEEE.
cited By (since 1996)0; Conference of org.apache.xalan.xsltc.dom.DOMAdapter@7a61a601 ; Conference Date: org.apache.xalan.xsltc.dom.DOMAdapter@20d9ca6c Through org.apache.xalan.xsltc.dom.DOMAdapter@3a78894d; Conference Code:90662
Ma Niranjan, Saipreethy, M. Sa, and Kumar, T. Gb, “An intelligent question answering conversational agent using Naïve Bayesian classifier”, in Proceedings - 2012 IEEE International Conference on Technology Enhanced Education, ICTEE 2012, Kerala, 2012.