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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
Joyce, Paul – PASAA: Journal of Language Teaching and Learning in Thailand, 2019
Listening has been widely characterised as a multifaceted process encompassing a range of linguistic and psycholinguistic components (see Rubin, 1994). However, for learners at different levels of L2 proficiency, there is uncertainty over the relative importance of the various sub-skills. To address this issue, a number of linguistic and…
Descriptors: Correlation, Second Language Learning, Language Proficiency, Language Tests
Lee, Gabriel A. – Online Submission, 2002
Rauding theory states that two factors, accuracy and rate, explain nearly all the variance in the general reading ability of American schoolchildren (Carver, 1999). Using Structural Equation Modeling (SEM) and regression, this dissertation investigated to what extent the Rauding model could be applied to 92 Japanese university aged young adults…
Descriptors: Foreign Countries, Structural Equation Models, Word Recognition, Reading Ability