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International Journal of Advanced Research
Article . 2019 . Peer-reviewed
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ZENODO
Article . 2019
License: CC BY
Data sources: Datacite
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ZENODO
Article . 2019
License: CC BY
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ZENODO
Article . 2019
License: CC BY
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USE OF SOCIAL MEDIA AMONG RURAL STUDENTS IN LEARNING OF ENGLISH LANGUAGE.

Authors: Daikho Manehrii.;

USE OF SOCIAL MEDIA AMONG RURAL STUDENTS IN LEARNING OF ENGLISH LANGUAGE.

Abstract

Social media has brought about a revolution in the learning process. Effective use of social media not only enhances learning processes, it offers wide range to explore more. It cut-across all spheres of learning development providing wide array of opportunity to learn at low cost. Learning of English language is now wide open for any learners, anytime through social media. In spite of these advantages, rural students were left behind due to their remoteness and other various constraints. The present study focuses on the frequency of using social media among the rural students; understanding the purpose of social media for learning English language; and problems related to efficient use. The study reveals that rural students were able to use social media for learning English language up to a certain extent but unable to use it effectively and efficiently.

Keywords

English language learning rural students social media.

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selected citations
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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.
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.
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