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Miao, Yongzhi – Language Testing, 2023
Scholars have argued for the inclusion of different spoken varieties of English in high-stakes listening tests to better represent the global use of English. However, doing so may introduce additional construct-irrelevant variance due to accent familiarity and the shared first language (L1) advantage, which could threaten test fairness. However,…
Descriptors: Pronunciation, Metalinguistics, Native Language, Intelligibility
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Kotani, Katsunori; Yoshimi, Takehiko; Nanjo, Hiroaki; Isahara, Hitoshi – English Language Teaching, 2016
In order to develop effective teaching methods and computer-assisted language teaching systems for learners of English as a foreign language who need to study the basic linguistic competences for writing, pronunciation, reading, and listening, it is necessary to first investigate which vocabulary and grammar they have or have not yet learned.…
Descriptors: Computational Linguistics, Accuracy, Language Fluency, Linguistic Competence
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Shim, Yae Jie – Teaching English with Technology, 2013
The error-correction program "Criterion" provides students with an immediate essay feedback using tools that can analyze and review writing automatically. This feedback covers grammar, usage, mechanics, style, organization, and development. With its diagnostic tools for scoring essays and offering relevant feedback, the error-correction…
Descriptors: Error Correction, Writing Evaluation, Essays, Scoring