Development of an Intelligent Answering Machine based on LMS Knowledge

Nowadays, in university environments, communication between teachers and students cause, in many cases, an excessive demand on the teacher's response capacity. This demand is even stronger in Distance Education, as in the case of UNED (Spanish University for Distance Education) where usually this communication is via email. The main objective of t he paper is to describe the research done to develop a tool that improves and optimises these relationships by means of more efficient use of the available information of the organizations. In order to achieve this goal, we ar e developing an intelligent manager able to answer th e students' questions automatically, using the knowle dge stored in Learning Management Systems (LMS) as dotLRN, Moodle, WebCT; indexed in search engines as Google or Yahoo; or data repositories as Wikipedia or institutional databases.

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