In this paper we discuss the development of the Discussion Forum Analyzer Tool (DFAT) for the Moodle Learning Management System (LMS). This application was designed to enhance student engagement in course discussion forums by emphasizing the particip ation of fellow learners and by making discussions more efficient and pertinent to students. In addition, by mining user-submitted content and applying learning algorithms, DFAT "tags" replies/comments as relevant or non-relevant, and recommends other related discussions and readings.
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