E-Learning Satisfaction Analysis of the Support Factors
E-learning satisfaction is an important factor in assessing the effectiveness and efficiency of distance learning. The use of Big Data technology can have a significant impact on e-learning satisfaction. The purpose of this research is to examine the implementation of big data in e-learning and...
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Main Authors: | , , , , , |
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Format: | Conference or Workshop Item |
Language: | English |
Published: |
2023
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Online Access: | http://eprints.utem.edu.my/id/eprint/28050/1/E-Learning%20Satisfaction%20Analysis%20of%20the%20Support.pdf http://eprints.utem.edu.my/id/eprint/28050/ https://ieeexplore.ieee.org/document/10276458 |
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Summary: | E-learning satisfaction is an important factor in
assessing the effectiveness and efficiency of distance learning.
The use of Big Data technology can have a significant impact on
e-learning satisfaction. The purpose of this research is to
examine the implementation of big data in e-learning and the
factors that can increase student e-learning satisfaction. This
study uses a quantitative survey method with a questionnaire as
a data collection tool. The research respondents were randomly
selected e-learning students from several educational
institutions that use Big Data technology in their e-learning
platforms. There are 663 data collected through online
questionnaires, then the data is processed through SmartPLS to
test the research hypothesis. The results of the study show that
the use of Big Data technology in an e-learning environment has
a positive impact on student satisfaction. Several factors
determine e-learning satisfaction including usability
requirements, quality level, learning competence, and material
relatedness. Relatedness to e-learning is more important in
increasing student motivation in learning, as can be seen from
the correlation value which is more dominant in forming student
satisfaction. The e-learning platform must have navigation that
is easy for users to understand and use. Learning content must
be well-designed and follow established learning standards. The
use of Big Data technology in e-learning can have a significant
impact on student satisfaction and the quality of learning.
Future research can develop a more personal and adaptive e-
learning platform, using Big Data technology as the basis for its
development. |
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