2019
DOI: 10.3126/nelta.v24i1-2.27678
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Teaching and testing of English listening and speaking in secondary schools in Nepal: Pretend for praxis?

Abstract: Secondary English course requires testing of four skills: listening, speaking, reading and writing independently. Secondary Education Examination (SEE) board conducts a written examination, which includes reading and writing skills, through different centres and English teachers are responsible to test students’ listening and speaking tests in their own schools and submit grades to District Education Office. Semi-structured interviews with secondary English teachers in private schools and school graduates inve… Show more

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Cited by 6 publications
(6 citation statements)
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“…MyBatis files and entity class configuration files modify the configuration of each class mapping file to display the SQL words required by the database. Every time the database interacts with it, it gets the SqlSession through the SqlSes-sionFactory and then runs the SQL commands [18].…”
Section: Mybatis Technology Mybatis Provides the Transparency Of The ...mentioning
confidence: 99%
“…MyBatis files and entity class configuration files modify the configuration of each class mapping file to display the SQL words required by the database. Every time the database interacts with it, it gets the SqlSession through the SqlSes-sionFactory and then runs the SQL commands [18].…”
Section: Mybatis Technology Mybatis Provides the Transparency Of The ...mentioning
confidence: 99%
“…The gender inequalities are the obstacle in every aspect so there is no exception that it is also the effecting factor in EFL /ESL classroom. Among the several other challenges, Rana and Rana (2019) found that the negligence of listening and speaking tests at secondary level examination is also challenge. While teaching language, all four language skills should be equally prioritized, however speaking and listening have not received the same emphasis from the Nepali government.…”
Section: Challengesmentioning
confidence: 99%
“…In general, the training and testing of the recognition model system is noncorrelated with the extraction of features in terms of the processing. We can achieve the work of parameter extraction of speech features through a series of mathematical calculations [7]. The commonly used speech feature parameters are linear predictive cepstral coefficients LPCC and MFCC, which simulates the auditory properties of the human ear and is mostly used in most cases.…”
Section: Speech Recognition System Architecturementioning
confidence: 99%