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Direct linkHannah, 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
Doolan, Stephen M. – Written Communication, 2014
Developmental composition courses serve a sizable and growing number of Generation 1.5 students, or long-term U.S. resident language learners, and it is believed that language challenges may be part of Generation 1.5 writers' difficulty in controlling the academic register. The current study investigates possible similarities and differences…
Descriptors: Writing Difficulties, Student Characteristics, Comparative Analysis, English (Second Language)
Download full textZwick, Rebecca; Thayer, Dorothy T. – 1995
The performance of graduate and undergraduate school applicants on the Test of Written English (TWE) was compared for each of 66 data sets, dating from 1988 to 1993. The analyses compared the average TWE score for graduates and undergraduates after matching examinees on the total score on the Test of English as a Foreign Language (TOEFL). The main…
Descriptors: Biological Sciences, Comparative Analysis, English (Second Language), High School Students
