Automated Discrimination of the Learners Attitude in Online Learning

Paper Title : Automated Discrimination of the Learners Attitude in Online Learning
Author(s):  P. V. Praveen Sundar, A.V. Senthil Kumar
Published in:  International Journal of Education and Psychological Research (IJEPR)
Volume/Issue:   Vol. 05, Issue 03 ( 2016), PP: 82-87
ISSN : 2279 - 0179

Abstract:

Online learning environment is new platform in education arena, which provides handsome of features to the learners. Despite the online learning system seems attractive it is greatly affected by the poor monitoring capabilities. These issues had handled through behavioural and psychological facts by many researchers known as disengagement detection. The objective of the disengagement detection is to extract the causes and pattern of disengagements. Once the disengagement is identified, it is necessary to motivate the disengaged learners. The proposed work discriminates the learner’s attitude using TSVM approach and extracts the causes and pattern of disengagements, which helps the instructor to motivate the disengaged users. Our experimental result states that the proposed method classifies the disengaged users well and makes the online learning system effective.

Keywords: Online learning, Discrimination, Disengagement Detection, Learning attitudes

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(P.V. Praveen Sundar and A.V. Senthil Kumar) “Automated Discrimination of the Learners Attitude in Online Learning”, International Journal of Education and Psychological Research (IJEPR), ISSN (Print): e-SSN: 2279 - 0179, ISSN (Online):  2279 - 0179, Vol. 5 Issue 3 (2016), Pages:82-87.