Correlation Between the Usages and the Uses of English Articles in Select Contexts
K.Kiruthikadevi
Dr. K. Kiruthikadevi, Assistant Professor, Department of English, Dr. G.R.D college of Science, Coimbatore, India..

Manuscript received on November 15, 2019. | Revised Manuscript received on November 23, 2019. | Manuscript published on November 30, 2019. | PP: 2165-2169 | Volume-8 Issue-4, November 2019. | Retrieval Number: D7815118419/2019©BEIESP | DOI: 10.35940/ijrte.D7815.118419

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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Barring a few exceptions, English language teaching in India has been synonymous with teaching of grammar and English literature. As a result, the language taught here is more of written kind than spoken. The grammatical rules are more characteristics of written English, hence over-emphasized. The net result is that this approach tends to teach the usages rather than the uses of English required in real lifetime situations. Hence the need for this study entitled ‘A STUDY OF CORRELATION BETWEEN THE USAGES AND THE USES OF ENGLISH ARTICLES IN SELECT CONTEXTS.’ 509 tertiary students pursuing their post-graduation in M.A English Literature at government aided-institutions and private institutions situated in and around the educational district of Coimbatore constituted the sample for the present study. The independent variables included their gender and medium of education at school. The sample thus selected were diagnosed for their capacity for the recognition and the production of articles in select forty contexts and their omissions by means of a researcher-constructed questionnaire. Results obtained were analyzed with‘t’ tests, One – Way ANOVA, Correlation tests and Association tests.
Keywords: ‘A Study of Correlation Between the Usages and the tses Of English Articles in Select Contexts.’
Scope of the Article: Context Awareness and Personalization, Autonomic and Trusted Computing.