Paper Title : Disengagement Detection in Online Learning using
Log File Analysis
Author(s): P. V. Praveen Sundar, A.V. Senthil Kumar
Conference : International Conference on Computing Communication and Information Science (ICCCIS 2016) at Bishop Heber College, Tiruchirapalli, Tamilnadu, India., 28th - 29th July-2016.
Published in: International Journal of Control Theory and Applications (IJCTA)
Volume/Issue: Vol. 9, Issue 27 (2016), PP: 295-301
Online ISSN 0974-5572
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Author(s): P. V. Praveen Sundar, A.V. Senthil Kumar
Conference : International Conference on Computing Communication and Information Science (ICCCIS 2016) at Bishop Heber College, Tiruchirapalli, Tamilnadu, India., 28th - 29th July-2016.
Published in: International Journal of Control Theory and Applications (IJCTA)
Volume/Issue: Vol. 9, Issue 27 (2016), PP: 295-301
Online ISSN 0974-5572
Abstract:
Nowadays, most of the educational institutions/universities prefer online learning due to its flexibility to learners. The learners can learn at their flexible place and time. The main disadvantage of the online learning is; it is difficult to identify whether the learners are motivated during the learning process or not. The successful online learning environments will automatically identify the disengaged learners and motivates them as quick as possible. Thus disengagement detection is considered as an important factor in online learning environments. There are so many researchers are already undergoing for detecting the disengaging learners. Through this proposed work, we detect the disengaged learners using log file analysis. Generally, in log file analysis, each and every log file is monitored. As the number of users and log file sequences are increased, it takes more time to identify the unmotivated learners. Instead of taking all log file sequences, the proposed work takes the overall values and predict the disengagement. In addition to this disengagement can be predicted using their academic performance. The results show that our proposed methodologies will give better results than the traditional log file based approaches.
Download Full Text
To Cite this paper
P.V.Praveen Sundar, A.V.Senthil Kumar, ”Disengagement Detection in Online Learning using Log File Analysis”, In Proceedings of International Conference on Computing Communication and Information Science (ICCCIS 2016) – 2016, 28th - 29th July-2016, Tiruchirapalli, Tamilnadu, India, International Journal of Control Theory and Applications (IJCTA), Vol -9, Issue no-27, Pages: 295-301.
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