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Yuko Hayashi; Yusuke Kondo; Yutaka Ishii – Innovation in Language Learning and Teaching, 2024
Purpose: This study builds a new system for automatically assessing learners' speech elicited from an oral discourse completion task (DCT), and evaluates the prediction capability of the system with a view to better understanding factors deemed influential in predicting speaking proficiency scores and the pedagogical implications of the system.…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Japanese
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Gu, Lin; Davis, Larry; Tao, Jacob; Zechner, Klaus – Assessment in Education: Principles, Policy & Practice, 2021
Recent technology advancements have increased the prospects for automated spoken language technology to provide feedback on speaking performance. In this study we examined user perceptions of using an automated feedback system for preparing for the TOEFL iBT® test. Test takers and language teachers evaluated three types of machine-generated…
Descriptors: Audio Equipment, Test Preparation, Feedback (Response), Scores
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Linlin, Cao – English Language Teaching, 2020
Through Many-Facet Rasch analysis, this study explores the rating differences between 1 computer automatic rater and 5 expert teacher raters on scoring 119 students in a computerized English listening-speaking test. Results indicate that both automatic and the teacher raters demonstrate good inter-rater reliability, though the automatic rater…
Descriptors: Language Tests, Computer Assisted Testing, English (Second Language), Second Language Learning
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Huang, Becky; Alegre, Analucia; Eisenberg, Ann – Language Assessment Quarterly, 2016
The project aimed to examine the effect of raters' familiarity with accents on their judgments of non-native speech. Participants included three groups of raters who were either from Spanish Heritage, Spanish Non-Heritage, or Chinese Heritage backgrounds (n = 16 in each group) using Winke & Gass's (2013) definition of a heritage learner as…
Descriptors: Contrastive Linguistics, Evaluators, Chinese, Spanish
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Hoang, Giang Thi Linh; Kunnan, Antony John – Language Assessment Quarterly, 2016
Computer technology made its way into writing instruction and assessment with spelling and grammar checkers decades ago, but more recently it has done so with automated essay evaluation (AEE) and diagnostic feedback. And although many programs and tools have been developed in the last decade, not enough research has been conducted to support or…
Descriptors: Case Studies, Essays, Writing Evaluation, English (Second Language)
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Bridgeman, Brent; Powers, Donald; Stone, Elizabeth; Mollaun, Pamela – Language Testing, 2012
Scores assigned by trained raters and by an automated scoring system (SpeechRater[TM]) on the speaking section of the TOEFL iBT[TM] were validated against a communicative competence criterion. Specifically, a sample of 555 undergraduate students listened to speech samples from 184 examinees who took the Test of English as a Foreign Language…
Descriptors: Undergraduate Students, Speech Communication, Rating Scales, Scoring
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Zhang, Mo; Breyer, F. Jay; Lorenz, Florian – ETS Research Report Series, 2013
In this research, we investigated the suitability of implementing "e-rater"® automated essay scoring in a high-stakes large-scale English language testing program. We examined the effectiveness of generic scoring and 2 variants of prompt-based scoring approaches. Effectiveness was evaluated on a number of dimensions, including agreement…
Descriptors: Computer Assisted Testing, Computer Software, Scoring, Language Tests
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Xi, Xiaoming; Mollaun, Pam – ETS Research Report Series, 2006
This study explores the utility of analytic scoring for the TOEFL® Academic Speaking Test (TAST) in providing useful and reliable diagnostic information in three aspects of candidates' performance: delivery, language use, and topic development. G studies were used to investigate the dependability of the analytic scores, the distinctness of the…
Descriptors: English (Second Language), Language Tests, Second Language Learning, Oral Language