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Aryadoust, Vahid; Luo, Lan – Language Testing, 2023
This study reviewed conceptualizations and operationalizations of second language (L2) listening constructs. A total of 157 peer-reviewed papers published in 19 journals in applied linguistics were coded for (1) publication year, author, source title, location, language, and reliability and (2) listening subskills, cognitive processes, attributes,…
Descriptors: Test Format, Listening Comprehension Tests, Second Language Learning, Second Language Instruction
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Min, Shangchao; He, Lianzhen – Language Testing, 2022
In this study, we present the development of individualized feedback for a large-scale listening assessment by combining standard setting and cognitive diagnostic assessment (CDA) approaches. We used the performance data from 3,358 students' item-level responses to a field test of a national EFL test primarily intended for tertiary-level EFL…
Descriptors: Feedback (Response), Second Language Learning, Second Language Instruction, English (Second Language)
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Pill, John; McNamara, Tim – Language Testing, 2016
This paper considers how to establish the minimum required level of professionally relevant oral communication ability in the medium of English for health practitioners with English as an additional language (EAL) to gain admission to practice in jurisdictions where English is the dominant language. A theoretical concern is the construct of…
Descriptors: Specialists, Standard Setting, Language Tests, English (Second Language)
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Franco, Horacio; Bratt, Harry; Rossier, Romain; Rao Gadde, Venkata; Shriberg, Elizabeth; Abrash, Victor; Precoda, Kristin – Language Testing, 2010
SRI International's EduSpeak[R] system is a software development toolkit that enables developers of interactive language education software to use state-of-the-art speech recognition and pronunciation scoring technology. Automatic pronunciation scoring allows the computer to provide feedback on the overall quality of pronunciation and to point to…
Descriptors: Feedback (Response), Sentences, Oral Language, Predictor Variables