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IMPACT OF LOCK-DOWN ON VIRTUAL LEARNING AND LEARNING ANALYTICS

Authors: Ms. S. Bhuma Devi1 & Dr. Preeti Jain2;

IMPACT OF LOCK-DOWN ON VIRTUAL LEARNING AND LEARNING ANALYTICS

Abstract

Acquiring Knowledge is one of the vital continuous processes for every being across the globe. Adaptive Techniques, Logical approach towards facing any kind of situations in day today life, implementing the acquired knowledge in the respective situation to manage the environmental issues are great challenges for every living being in the earth. COVID-19 pandemic situation is the most foreseeable problem for the Educators and Learners in Learning-Educating-Learning progression. Educators, Learners and Researchers wouldn’t be able to solve or manage the situation or get rid of the present issues immediately. Moreover, the problem solving for the current state of affairs should be considered as a continuous course for the Education Society which are accommodated in every country. Especially, this process should be handled, directed and implemented (solutions) gently and at the same time firmly for the betterment of the developing countries. In this paper we will see, what are the problems faced by the Learners, how the problems’ solution can be derived through Machine Learning Model through Exploratory Data Analysis. Discernments of the data have been derived and the knowledge which are acquired through the Data mining process

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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!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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