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Gong, Kaixuan – Asian-Pacific Journal of Second and Foreign Language Education, 2023
The extensive use of automated speech scoring in large-scale speaking assessment can be revolutionary not only to test design and rating, but also to the learning and instruction of speaking based on how students and teachers perceive and react to this technology. However, its washback remained underexplored. This mixed-method study aimed to…
Descriptors: Second Language Learning, Language Tests, English (Second Language), Automation
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Papageorgiou, Spiros; Davis, Larry; Ohta, Renka; Gomez, Pablo Garcia – ETS Research Report Series, 2022
In this research report, we describe a study to map the scores of the "TOEFL® Essentials"™ test to the Canadian Language Benchmarks (CLB). The TOEFL Essentials test is a four-skills assessment of foundational English language skills and communication abilities in academic and general (daily life) contexts. At the time of writing this…
Descriptors: Foreign Countries, Language Tests, English (Second Language), Second Language Learning
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Qian, Leyi; Zhao, Yali; Cheng, Yan – Journal of Educational Computing Research, 2020
Automated writing scoring can not only provide holistic scores but also instant and corrective feedback on L2 learners' writing quality. It has been increasing in use throughout China and internationally. Given the advantages, the past several years has witnessed the emergence and growth of writing evaluation products in China. To the best of our…
Descriptors: Foreign Countries, Automation, Scoring, Writing (Composition)
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Davis, Larry; Papageorgiou, Spiros – Assessment in Education: Principles, Policy & Practice, 2021
Human raters and machine scoring systems potentially have complementary strengths in evaluating language ability; specifically, it has been suggested that automated systems might be used to make consistent measurements of specific linguistic phenomena, whilst humans evaluate more global aspects of performance. We report on an empirical study that…
Descriptors: Scoring, English for Academic Purposes, Oral English, Speech Tests
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Loukina, Anastassia; Buzick, Heather – ETS Research Report Series, 2017
This study is an evaluation of the performance of automated speech scoring for speakers with documented or suspected speech impairments. Given that the use of automated scoring of open-ended spoken responses is relatively nascent and there is little research to date that includes test takers with disabilities, this small exploratory study focuses…
Descriptors: Automation, Scoring, Language Tests, Speech Tests
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Chan, Sathena; May, Lyn – Language Testing, 2023
Despite the increased use of integrated tasks in high-stakes academic writing assessment, research on rating criteria which reflect the unique construct of integrated summary writing skills is comparatively rare. Using a mixed-method approach of expert judgement, text analysis, and statistical analysis, this study examines writing features that…
Descriptors: Scoring, Writing Evaluation, Reading Tests, Listening Skills
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Zhanna Hunter; Lisa Mangion; Louise Noell – English Australia Journal, 2024
The multiliteracies framework provides a pedagogical approach relevant to English language direct entry pathway (DEP) programs at university, recognising that education and communication in a multicultural, multimodal, and globalised world involves more than language literacy. Integrated assessments, in which some combination of listening,…
Descriptors: Multiple Literacies, English for Academic Purposes, Second Language Learning, Second Language Instruction
Papageorgiou, Spiros; Davis, Larry; Norris, John M.; Garcia Gomez, Pablo; Manna, Venessa F.; Monfils, Lora – Educational Testing Service, 2021
The "TOEFL® Essentials"™ test is a new English language proficiency test in the "TOEFL"® family of assessments. It measures foundational language skills and communication abilities in academic and general (daily life) contexts. The test covers the four language skills of reading, listening, writing, and speaking and is intended…
Descriptors: Language Tests, English (Second Language), Second Language Learning, Language Proficiency
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Biju Theruvil Sayed; Zein Bassam Bani Younes; Ahmad Alkhayyat; Iroda Adhamova; Habesha Teferi – Language Testing in Asia, 2024
There has been a surge in employing artificial intelligence (AI) in all areas of language pedagogy, not the least among them language testing and assessment. This study investigated the effects of AI-powered tools on English as a Foreign Language (EFL) learners' speaking skills, psychological well-being, autonomy, and academic buoyancy. Using a…
Descriptors: Artificial Intelligence, Language Tests, Success, Speech Skills
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Jones, Daniel Marc; Cheng, Liying; Tweedie, M. Gregory – Canadian Journal of Learning and Technology, 2022
This article reviews recent literature (2011-present) on the automated scoring (AS) of writing and speaking. Its purpose is to first survey the current research on automated scoring of language, then highlight how automated scoring impacts the present and future of assessment, teaching, and learning. The article begins by outlining the general…
Descriptors: Automation, Computer Assisted Testing, Scoring, Writing (Composition)
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Daniels, Paul – TESL-EJ, 2022
This paper compares the speaking scores generated by two online systems that are designed to automatically grade student speech and provide personalized speaking feedback in an EFL context. The first system, "Speech Assessment for Moodle" ("SAM"), is an open-source solution developed by the author that makes use of Google's…
Descriptors: Speech Communication, Auditory Perception, Computer Uses in Education, Computer Assisted Testing
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Finn, Bridgid; Arslan, Burcu; Walsh, Matthew – Applied Measurement in Education, 2020
To score an essay response, raters draw on previously trained skills and knowledge about the underlying rubric and score criterion. Cognitive processes such as remembering, forgetting, and skill decay likely influence rater performance. To investigate how forgetting influences scoring, we evaluated raters' scoring accuracy on TOEFL and GRE essays.…
Descriptors: Epistemology, Essay Tests, Evaluators, Cognitive Processes
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Ariamanesh, Ali A.; Barati, Hossein; Youhanaee, Manijeh – International TESOL Journal, 2022
The present study investigated the speaking module of TOEFL iBT with an emphasis on the dichotomy of independent and integrated tasks. The potential differences between the two speaking conditions were intended to be explored based on the oral performance elicited from a group of Iranian test takers. To collect the required data, a simulated…
Descriptors: Second Language Learning, English (Second Language), Language Tests, Computer Assisted Testing
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Haberman, Shelby J. – ETS Research Report Series, 2020
Best linear prediction (BLP) and penalized best linear prediction (PBLP) are techniques for combining sources of information to produce task scores, section scores, and composite test scores. The report examines issues to consider in operational implementation of BLP and PBLP in testing programs administered by ETS [Educational Testing Service].
Descriptors: Prediction, Scores, Tests, Testing Programs
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Ahmadi, Alireza – Taiwan Journal of TESOL, 2020
Rater subjectivity has long been an intriguing topic. The use of discussion as a resolution method is a practical way to reduce this subjectivity. However, the efficacy of discussion depends on whether different raters get equally engaged in it or one rater tends to dominate others. This study investigated whether and how rater dominance occurs in…
Descriptors: Evaluators, Interrater Reliability, Discussion, Discourse Analysis
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