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Learners' Satisfaction of MOOCs: Cross Sectional Study

Authors: Gopal Singh Latwal; Leena Gupta;

Learners' Satisfaction of MOOCs: Cross Sectional Study

Abstract

In the fast changing environment MOOCs are also growing substantially. MOOCs use electronic tools or internet to deliver educational content to learners to facilitate learning. MOOCs are now a synonym for online learning. MOOCs provide many benefits to instructors, trainer and lecturers as a medium through which they can provide or share course material with learners and their colleagues outside the classroom. There are few problems exist related to E-learning i.e. isolation and lack of human interaction as it needs lots of self- discipline and initiative by the learner so, lack of self motivation leads to lesser engagement with the course thus, affecting their satisfaction level with course content. Even with these requirements more and more learner seeks online courses and training. This study attempts to conduct a cross sectional study of satisfaction of MOOC learners. The research method is quantitative in nature. Quantitative data is collected by a structured questionnaire. The sampling techniques used is convenience sampling. The response is collected through google doc from 250 respondents. The collected data is analyzed for frequency, correlation and regression analysis using SPSS software. Respondents mainly prefer Coursera, NPTEL and EdX for MOOC. Business Administration course is most sought course among the participants. Respondents pursue course to obtain more knowledge. Lack of time and motivation leads to quitting the MOOCs. Majority of respondents are satisfied with the course contents, learning environments, evaluation and teaching methods.

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selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
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.
BIP!Impulse provided by BIP!
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