Paper Title : Quasi Framework: A New Student Disengagement Detection In Online
Learning
Abstract:
Learning
Author(s): P. V. Praveen Sundar
Published in: International Journal of Engineering Research & Technology
Volume/Issue: Vol.1 - Issue 10 (December - 2012)
e-ISSN: 2278-0181
Published in: International Journal of Engineering Research & Technology
Volume/Issue: Vol.1 - Issue 10 (December - 2012)
e-ISSN: 2278-0181
Abstract:
Educational
Data Mining (EDM) has emerged as independent research area in recent years.
Moreover student learning environment also rapidly move towards online. Compare
to traditional teaching method, online tutoring will attracts younger
generations. However student engagement is an important aspect of effective
learning. Most of the students performed well in their academic performance and
spent more time with internet too. Thus measuring disengagement is likely to
help poor performance students. In this paper we propose a new framework called
Quasi Framework, which is trying to measure the significant relationship
between disengagement level and their academic achievement.
Keywords: Disengagement Detection, Online Learning,
EDM, Student Performance Prediction
To Cite this paper,
P. V. Praveen Sundar . " Quasi Framework: A New Student Disengagement Detection In Online Learning
", Vol.1 - Issue 10 (December - 2012) , International Journal of
Engineering Research & Technology (IJERT) , ISSN: 2278-0181 ,
www.ijert.org
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