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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
Gu, Lin; Hsieh, Ching-Ni – Language Assessment Quarterly, 2019
Examining spoken features across proficiency levels allows researchers to explore the nature of speaking proficiency as it develops. This line of research has thus far primarily focused on adult second language (L2) learners. Using cross-sectional data based on a large-scale language assessment intended for young L2 learners, in this study, we…
Descriptors: Oral Language, Speech Communication, English (Second Language), Second Language Learning
