Monday, January 25, 2016

Quasi Framework: A New Student Disengagement Detection In Online Learning

Paper Title : Quasi Framework: A New Student Disengagement Detection In Online
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

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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