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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
Yu, Guoxing; He, Lianzhen; Rea-Dickins, Pauline; Kiely, Richard; Lu, Yanbin; Zhang, Jing; Zhang, Yan; Xu, Shasha; Fang, Lin – ETS Research Report Series, 2017
Language test preparation has often been studied within the consequential validity framework in relation to ethics, equity, fairness, and washback of assessment. The use of independent and integrated speaking tasks in the "TOEFL iBT"® test represents a significant development and innovation in assessing speaking ability in academic…
Descriptors: English (Second Language), Language Tests, Second Language Learning, Oral Language
Lee, Yong-Won; Breland, Hunter; Muraki, Eiji – ETS Research Report Series, 2004
This study has investigated the comparability of computer-based testing (CBT) writing prompts in the Test of English as a Foreign Language™ (TOEFL®) for examinees of different native language backgrounds. A total of 81 writing prompts introduced from July 1998 through August 2000 were examined using a three-step logistic regression procedure for…
Descriptors: English (Second Language), Language Tests, Second Language Learning, Computer Assisted Testing