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ONLINE V/S TRADITIONAL EDUCATION – A STUDY OF STUDENT PREFERENCES

Authors: Dr. Cerena Aurin D'Cunha;

ONLINE V/S TRADITIONAL EDUCATION – A STUDY OF STUDENT PREFERENCES

Abstract

The Internet world in the last two decades has upgraded the way people socialize, communicate, shop, make business and think about learning and exploring new knowledge. Adding on to the distance learning, a new twist of online schooling is modifying the method of traditional offline classrooms and making education more accessible and easily available than ever before. It is kind of a rich learning environment and is much more flexible than a traditional classroom. On the other hand, traditional learning primarily focuses on classroom education which is very much limited to a predetermined time duration and at a specific location where the learners are expected to be present and attend the class. The educators have shifted their traditional pedagogical approach to the online teaching style to tackle new conditions and adapt to the changing situations. This transformation brought forth the daunting question of effectiveness of online versus traditional education. With this question in view, the researcher decided to conduct a study to identify student preferences about online versus traditional learning.

Keywords

Online Learning, Traditional Education, Student Preferences

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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