Abstract
Student engagement in traditional teacher centered model of teaching is limited to independent working or working in a small group on a task designed by the teacher. Flipped classroom is a blended learning strategy that reverses the traditional educational arrangement by delivering instructional content, often online, outside of the classroom and moves activities, including those that may have traditionally been considered homework, into the classroom. Various studies support and recommend flipped model of teaching at graduate and undergraduate level but very less have analyzed the impact of flipped classroom on academic performance and especially knowledge creation at post graduate level. In this paper we are analyzing the performance and knowledge creation of master's level students using Data Mining Techniques in a flipped classroom model.
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