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Sok, Sarah; Du, Qian; Lee, Jerry Won – International Journal of Bilingual Education and Bilingualism, 2023
Various examinations are administered at universities across the US as a means of assessing bilingual/multilingual international teaching assistants' (ITAs') proficiency in spoken English before they are permitted to teach. While such exams are taken by students in a range of academic disciplines, recent research suggests that communicative…
Descriptors: Oral Language, Language Tests, English (Second Language), Second Language Learning
Hannah, L.; Kim, H.; Jang, E. E. – Language Assessment Quarterly, 2022
As a branch of artificial intelligence, automated speech recognition (ASR) technology is increasingly used to detect speech, process it to text, and derive the meaning of natural language for various learning and assessment purposes. ASR inaccuracy may pose serious threats to valid score interpretations and fair score use for all when it is…
Descriptors: Task Analysis, Artificial Intelligence, Speech Communication, Audio Equipment
Kang, Okim; Rubin, Don; Kermad, Alyssa – Language Testing, 2019
As a result of the fact that judgments of non-native speech are closely tied to social biases, oral proficiency ratings are susceptible to error because of rater background and social attitudes. In the present study we seek first to estimate the variance attributable to rater background and attitudinal variables on novice raters' assessments of L2…
Descriptors: Evaluators, Second Language Learning, Language Tests, English (Second Language)