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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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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
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Payant, Caroline; Kim, YouJin – International Journal of Bilingual Education and Bilingualism, 2019
Despite a growing amount of research on collaborative dialogue during task performance, little attention has been given to the occurrence of collaborative dialogue across task modality and its impact on language development. To expand our current understanding of task modality effects on learning opportunities, we examined the process of engaging…
Descriptors: Task Analysis, Cooperative Learning, Second Language Learning, Multilingualism
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Ginther, April; Yan, Xun – Language Testing, 2018
This study examines the predictive validity of the TOEFL iBT with respect to academic achievement as measured by the first-year grade point average (GPA) of Chinese students at Purdue University, a large, public, Research I institution in Indiana, USA. Correlations between GPA, TOEFL iBT total and subsection scores were examined on 1990 mainland…
Descriptors: Correlation, Computer Assisted Testing, Profiles, English (Second Language)
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Winke, Paula; Gass, Susan; Myford, Carol – Language Testing, 2013
Based on evidence that listeners may favor certain foreign accents over others (Gass & Varonis, 1984; Major, Fitzmaurice, Bunta, & Balasubramanian, 2002; Tauroza & Luk, 1997) and that language-test raters may better comprehend and/or rate the speech of test takers whose native languages (L1s) are more familiar on some level (Carey,…
Descriptors: Native Language, Bias, Dialects, Pronunciation
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Ashwell, Tim; Elam, Jesse R. – JALT CALL Journal, 2017
The ultimate aim of our research project was to use the Google Web Speech API to automate scoring of elicited imitation (EI) tests. However, in order to achieve this goal, we had to take a number of preparatory steps. We needed to assess how accurate this speech recognition tool is in recognizing native speakers' production of the test items; we…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Language Tests
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Ockey, Gary J.; Koyama, Dennis; Setoguchi, Eric; Sun, Angela – Language Testing, 2015
The purpose of this study was to determine the extent to which performance on the TOEFL iBT speaking section is associated with other indicators of Japanese university students' abilities to communicate orally in an academic English environment and to determine which components of oral ability for these tasks are best assessed by TOEFL iBT. To…
Descriptors: Language Tests, English (Second Language), Second Language Learning, Correlation
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Huang, Lan-fen – Taiwan Journal of TESOL, 2014
This paper reports the compilation of a corpus of Taiwanese students' spoken English, which is one of the sub-corpora of the Louvain International Database of Spoken English Interlanguage (LINDSEI) (Gilquin, De Cock, & Granger, 2010). LINDSEI is one of the largest corpora of learner speech. The compilation process follows the design criteria…
Descriptors: Interlanguage, Databases, English (Second Language), Second Language Learning
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Sawaki, Yasuyo; Sinharay, Sandip – ETS Research Report Series, 2013
This study investigates the value of reporting the reading, listening, speaking, and writing section scores for the "TOEFL iBT"® test, focusing on 4 related aspects of the psychometric quality of the TOEFL iBT section scores: reliability of the section scores, dimensionality of the test, presence of distinct score profiles, and the…
Descriptors: Scores, Computer Assisted Testing, Factor Analysis, Correlation
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Jamieson, Joan; Poonpon, Kornwipa – ETS Research Report Series, 2013
Research and development of a new type of scoring rubric for the integrated speaking tasks of "TOEFL iBT"® are described. These "analytic rating guides" could be helpful if tasks modeled after those in TOEFL iBT were used for formative assessment, a purpose which is different from TOEFL iBT's primary use for admission…
Descriptors: Oral Language, Language Proficiency, Scaling, Scores