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Ildiko Porter-Szucs; Cynthia J. Macknish; Suzanne Toohey – John Wiley & Sons, Inc, 2025
"A Practical Guide to Language Assessment" helps educators at every level redefine their approach to language assessment. Grounded in extensive research and aligned with the latest advances in language education, this comprehensive guide introduces foundational concepts and explores key principles in test development and item writing.…
Descriptors: Student Evaluation, Language Tests, Test Construction, Test Items
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Erik Voss – Language Testing, 2025
An increasing number of language testing companies are developing and deploying deep learning-based automated essay scoring systems (AES) to replace traditional approaches that rely on handcrafted feature extraction. However, there is hesitation to accept neural network approaches to automated essay scoring because the features are automatically…
Descriptors: Artificial Intelligence, Automation, Scoring, English (Second Language)
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Jing Zhou; Zhongbing Ding; Meng Zhang; Xinxin Wei; Wenjun An; Ziqiao Zhu; Peiling Guo; Li Qiu; Qiang Guo; Yinting Bai – International Journal of Language & Communication Disorders, 2025
Purpose: The purpose of this study is to develop an accurate test scale for vocabulary comprehension ability applicable to Mandarin-speaking preschool children aged 3-5. Methods: First, an initial scale was developed and evaluated using the expert consultation method. Subsequently, 490 typically developing 3-5-year-old Mandarin-speaking children…
Descriptors: Preschool Children, Test Validity, Test Reliability, Language Tests
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Yoonseo Kim – TESOL Quarterly: A Journal for Teachers of English to Speakers of Other Languages and of Standard English as a Second Dialect, 2025
This study explores the potential of OpenAI's ChatGPT-4 (gpt-4-0613) as an automated essay scoring (AES) tool in a trial involving 300 essays from an American university's academic English program placement test. Three prompting strategies (minimal/detailed rubric, require/not require rationale, and with/without scoring examples) were tested for…
Descriptors: Automation, Scoring, Artificial Intelligence, Placement Tests
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Cassandra Alighieri; Evelien D’haeseleer – Journal of Speech, Language, and Hearing Research, 2025
Purpose: Phonological awareness (PA) is a foundational skill for literacy development and may be impacted in children with cleft palate with or without cleft lip (CP ± L), as studies have reported associations between atypical speech sound production in this population and reduced PA skills. This study examined (a) the relationship between…
Descriptors: Foreign Countries, Congenital Impairments, Children, Phonemic Awareness
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Joost C. F. de Winter – International Journal of Artificial Intelligence in Education, 2024
Launched in late November 2022, ChatGPT, a large language model chatbot, has garnered considerable attention. However, ongoing questions remain regarding its capabilities. In this study, ChatGPT was used to complete national high school exams in the Netherlands on the topic of English reading comprehension. In late December 2022, we submitted the…
Descriptors: Foreign Countries, Artificial Intelligence, English (Second Language), Language Tests
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Hamed Ghaemi; Robert Kirkpatrick – Language Testing in Asia, 2025
This study examines the impact of teacher metapathy, or teachers' capacity to comprehend and sympathize with students' emotional and cognitive requirements, on the academic outcomes of IELTS applicants, such as total band scores, motivation, and language learning orientation. Ten IELTS teachers from five language training centers and 100 IELTS…
Descriptors: Second Language Learning, Language Tests, English (Second Language), Scores
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Mario Figueroa; Sònia Darbra – Journal of Applied Research in Intellectual Disabilities, 2025
Background: The evidence on the effect of age on the receptive and expressive language skills of individuals with Down syndrome is inconclusive. Recent research highlights the relevance of having tools to detect age-related changes in language skills. Method: Data were collected on 45 adults with Down syndrome. All were assessed with the Peabody…
Descriptors: Language Usage, Aging (Individuals), Adults, Down Syndrome
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Farshad Effatpanah; Purya Baghaei; Hamdollah Ravand; Olga Kunina-Habenicht – International Journal of Testing, 2025
This study applied the Mixed Rasch Model (MRM) to the listening comprehension section of the International English Language Testing System (IELTS) to detect latent class differential item functioning (DIF) by exploring multiple profiles of second/foreign language listeners. Item responses of 462 examinees to an IELTS listening test were subjected…
Descriptors: Item Response Theory, Second Language Learning, Listening Comprehension, English (Second Language)
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Jiawei Xiong; George Engelhard; Allan S. Cohen – Measurement: Interdisciplinary Research and Perspectives, 2025
It is common to find mixed-format data results from the use of both multiple-choice (MC) and constructed-response (CR) questions on assessments. Dealing with these mixed response types involves understanding what the assessment is measuring, and the use of suitable measurement models to estimate latent abilities. Past research in educational…
Descriptors: Responses, Test Items, Test Format, Grade 8
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Kaja Haugen; Cecilie Hamnes Carlsen; Christine Möller-Omrani – Language Awareness, 2025
This article presents the process of constructing and validating a test of metalinguistic awareness (MLA) for young school children (age 8-10). The test was developed between 2021 and 2023 as part of the MetaLearn research project, financed by The Research Council of Norway. The research team defines MLA as using metalinguistic knowledge at a…
Descriptors: Language Tests, Test Construction, Elementary School Students, Metalinguistics
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Desiree Kawabata; Ben Fenton-Smith – Australian Journal of Language and Literacy, 2025
This paper discusses the challenges of defining coherence in the context of oral language assessment literacy and proposes that better understanding of the construct can be achieved through a systemic-functional linguistic lens. Coherence is taken to be a foundational quality of written and spoken discourse and is a standard feature in the…
Descriptors: Oral Language, Assessment Literacy, Linguistics, English (Second Language)
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Ryo Maie; Gaia Oikawa; Ying Chen; Takumi Uchihara – TESOL Quarterly: A Journal for Teachers of English to Speakers of Other Languages and of Standard English as a Second Dialect, 2025
Cumulative tests have been shown to enhance second language (L2) vocabulary learning by incrementally incorporating both new and previously learned materials in daily or weekly quizzes. In this study, we investigated the role of three factors that could impact the effectiveness of cumulative testing: (a) study time and (b) spaced practice (review…
Descriptors: Foreign Countries, College Students, Second Language Learning, Study Habits
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Tatiana Artamonova; Maria Hasler-Barker; Edna Velásquez – Journal of Latinos and Education, 2024
This paper discusses Texas Examinations of Educator Standards Program Languages Other Than English -- Spanish exam (TExES LOTE - Spanish) and its potential bias, particularly against teacher candidates with Spanish as a heritage language (HL) background. In Texas, most teacher candidates, or college students of Spanish preparing for secondary…
Descriptors: Language Tests, Test Bias, Spanish, Native Language
Michelle Nichols Ramos – ProQuest LLC, 2024
Accurately identifying developmental language disorder (DLD) in students who speak a home language other than English has proven to be an enduring challenge. Consequently, students with DLD miss out on critical interventions, and those who are acquiring their two languages in a typical manner are placed in settings that do not meet their…
Descriptors: Language Impairments, Bilingualism, Children, Developmental Delays
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