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Zoe L. Handley; Haiping Wang – Language Assessment Quarterly, 2024
This paper explores what the measures of utterance fluency typically employed in Automatic Speech Evaluation (ASE), i.e. automated speaking assessments, tell us about oral proficiency. 60 Chinese learners of English completed the second part of the speaking section of IELTS and six tasks designed to measure the linguistic knowledge and processing…
Descriptors: Foreign Countries, Speech Evaluation, Graduate Students, Articulation (Speech)
Jingjing Zhu; Xi Zhang; Jian Li – Computer Assisted Language Learning, 2024
Traditional L2 pronunciation teaching puts too much emphasis on explicit phonological knowledge ('knowing that') rather than on procedural knowledge ('knowing how'). The advancement of mobile-assisted language learning (MALL) offers new opportunities for L2 learners to proceduralize their declarative articulatory knowledge into production skills…
Descriptors: Artificial Intelligence, Technology Uses in Education, Pronunciation Instruction, Second Language Instruction
Li, Ying; Somlak, Taylor – Language Teaching Research, 2019
Research on second-language (L2) speech acquisition suggests that audio-visual aids could be effective in helping learners acquire difficult L2 speech sounds (Li, 2016a). However, most previous studies have been restricted to laboratory settings rather than the classroom environment. The present study, therefore, was designed to fill this…
Descriptors: Articulation (Speech), Nonverbal Communication, Pronunciation, Language Tests
Wang, Binhong – English Language Teaching, 2008
Oral English teaching has long been a weak link in the science universities in China, let alone the research on oral English test by quantitative method. Therefore, OEPT in the U.S. sheds light on the spoken English teaching and researching in China. OEPT (Oral English Proficiency Test) is a spoken English test aimed to assess the oral English…
Descriptors: Foreign Countries, English (Second Language), Second Language Instruction, Oral Language