Paper Title : An Enhanced Disengagement Detection in Online Learning using Quasi Framework
Author(s): P. V. Praveen Sundar, A.V. Senthil Kumar
Conference : International Conference on Advances in Applied Engineering and Technology – 2015, Syed Ammal Engineering College, Ramanathapuram, May 14-16, 2015.
Published in: Special Issue of International Journal of Applied Engineering Research (IJAER)
Volume/Issue: Vol. 10, Issue 55 (2015), PP 1298-1302
Online ISSN 1087-1090, Print ISSN 0973-4562
Abstract
Educational software strives to meet the learner‟s needs and preferences in order to make learning more efficient. For successful E-learning, an engagement and disengagement are the two important aspects. Learners‟ engagement is a successful indicator of their motivation, acceptance and attachment to the learning activity. By tracing the disengaged learners in E-learning, will provide us the possibility to get involved in motivating the learner at proper time. This disengagement can be detected by observing the learner‟s action in E-learning. In an e-learning environment, various attributes which is relevant for predicting disengagement is identified in log–file analysis so far. This work extended an events and attributes for detecting disengagement in e-learning system using mouse dynamic. Here, mouse-dynamic is included as event (scroll wheel used, no. of clicks are attributes) with other previously identified events for predicting disengagement which is derived from log data observations. This improves the prediction performance of disengaged learners and it becomes very compatible in e-learning.
Keywords: E-learning, disengagement detection, log data analysis, mouse dynamic model.
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To Cite this paper
P.V.Praveen Sundar, A.V.Senthil Kumar, ”An Enhanced Disengagement Detection in Online Learning using Quasi Framework”, In Proceedings of International Conference on Advances in Applied Engineering and Technology(ICAAET) – 2015, May 14-16, 2015, Ramanathapuram, Tamilnadu, India, International Journal of Applied Engineering Research(IJAER), Special Issue Vol. 10 No.55 (2015), PP- 1298-1302.
Author(s): P. V. Praveen Sundar, A.V. Senthil Kumar
Conference : International Conference on Advances in Applied Engineering and Technology – 2015, Syed Ammal Engineering College, Ramanathapuram, May 14-16, 2015.
Published in: Special Issue of International Journal of Applied Engineering Research (IJAER)
Volume/Issue: Vol. 10, Issue 55 (2015), PP 1298-1302
Online ISSN 1087-1090, Print ISSN 0973-4562
Abstract
Educational software strives to meet the learner‟s needs and preferences in order to make learning more efficient. For successful E-learning, an engagement and disengagement are the two important aspects. Learners‟ engagement is a successful indicator of their motivation, acceptance and attachment to the learning activity. By tracing the disengaged learners in E-learning, will provide us the possibility to get involved in motivating the learner at proper time. This disengagement can be detected by observing the learner‟s action in E-learning. In an e-learning environment, various attributes which is relevant for predicting disengagement is identified in log–file analysis so far. This work extended an events and attributes for detecting disengagement in e-learning system using mouse dynamic. Here, mouse-dynamic is included as event (scroll wheel used, no. of clicks are attributes) with other previously identified events for predicting disengagement which is derived from log data observations. This improves the prediction performance of disengaged learners and it becomes very compatible in e-learning.
Keywords: E-learning, disengagement detection, log data analysis, mouse dynamic model.
Download Full Text
To Cite this paper
P.V.Praveen Sundar, A.V.Senthil Kumar, ”An Enhanced Disengagement Detection in Online Learning using Quasi Framework”, In Proceedings of International Conference on Advances in Applied Engineering and Technology(ICAAET) – 2015, May 14-16, 2015, Ramanathapuram, Tamilnadu, India, International Journal of Applied Engineering Research(IJAER), Special Issue Vol. 10 No.55 (2015), PP- 1298-1302.
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