Disengagement Detection in Online Learning using Quasi Framework

Paper Title : Disengagement Detection in Online Learning using Quasi Framework
Author(s):  P. V. Praveen Sundar, A.V. Senthil Kumar
Published in:   IOSR Journal of Engineering (IOSRJEN)
Volume/Issue:   Vol. 05, Issue 01 (January. 2015), ||V1|| PP 04-09
ISSN (e): 2250-3021, ISSN (p): 2278-8719

Abstract: - Online Learning enables to deliver both learning and information dynamically. It allows tapping the knowledge of experts and non-experts and catapulting those messages beyond classroom walls and into the workplace but it is more difficult to assess a learner’s motivation. In traditional classroom learning, when a student shows signs of de-motivation, teachers know how to motivate their students and how to optimize their instruction. But in On-line learning it is difficult to measure their disengaged level. By tracing the disengaged learners in online learning, will help us to motivate the learners at proper time. Thus making an online learning to be a successful one. Thus we propose a new framework called Quasi Framework, which is trying to measure the significant relationship between disengagement level and their academic achievement. In this paper we compare our proposed framework with ihelp, a web based learning system. 

Keywords: Disengagement Detection, Online Learning, EDM, Log File Analysis

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To Cite this paper 

Praveen Sundar P.V, A.V.Senthil Kumar," Disengagement Detection in Online learning using Quasi framework", IOSR Journal of Engineering (IOSR JEN), Volume 5, Issue-I,Version-l, PP: 4-9,2015.