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Burton, J. Dylan – Language Assessment Quarterly, 2023
The effects of question or task complexity on second language speaking have traditionally been investigated using complexity, accuracy, and fluency measures. Response processes in speaking tests, however, may manifest in other ways, such as through nonverbal behavior. Eye behavior, in the form of averted gaze or blinking frequency, has been found…
Descriptors: Oral Language, Speech Communication, Language Tests, Eye Movements
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Litman, Diane; Strik, Helmer; Lim, Gad S. – Language Assessment Quarterly, 2018
This article provides an overview and evaluation of the uses--actual and potential--of automatic speech recognition (ASR) and spoken dialogue systems (SDS), related technologies that can be applied to second language speaking assessment, given particular definitions of the construct. Both technologies have only gradually moved in the direction of…
Descriptors: Second Language Instruction, Second Language Learning, Speech Communication, Assistive Technology
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Ockey, Gary J.; Gu, Lin; Keehner, Madeleine – Language Assessment Quarterly, 2017
A growing number of stakeholders argue for the use of second language (L2) speaking assessments that measure the ability to orally communicate in real time. A Web-based virtual environment (VE) that allows live voice communication among individuals may have potential for aiding in delivering such assessments. While off-the-shelf voice…
Descriptors: Speech Communication, Language Tests, Computer Assisted Testing, Computer Simulation
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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
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Burton, John Dylan – Language Assessment Quarterly, 2020
An assumption underlying speaking tests is that scores reflect the ability to produce online, non-rehearsed speech. Speech produced in testing situations may, however, be less spontaneous if extensive test preparation takes place, resulting in memorized or rehearsed responses. If raters detect these patterns, they may conceptualize speech as…
Descriptors: Language Tests, Oral Language, Scores, Speech Communication
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Crossley, Scott A.; Kim, YouJin – Language Assessment Quarterly, 2019
The current study examined the effects of text-based relational (i.e., cohesion), propositional-specific (i.e., lexical), and syntactic features in a source text on subsequent integration of the source text in spoken responses. It further investigated the effects of word integration on human ratings of speaking performance while taking into…
Descriptors: Individual Differences, Syntax, Oral Language, Speech Communication
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Kiddle, Thom; Kormos, Judit – Language Assessment Quarterly, 2011
This article reports on a study conducted with 42 participants from a Chilean university, which aimed to determine the effect of mode of response on test performance and test-taker perception of test features by comparing a semidirect online version and a direct face-to-face version of a speaking test. Candidate performances on both test versions…
Descriptors: Student Attitudes, Test Theory, Foreign Countries, Evaluation Methods