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Dongkwang Shin; Jang Ho Lee – ELT Journal, 2024
Although automated item generation has gained a considerable amount of attention in a variety of fields, it is still a relatively new technology in ELT contexts. Therefore, the present article aims to provide an accessible introduction to this powerful resource for language teachers based on a review of the available research. Particularly, it…
Descriptors: Language Tests, Artificial Intelligence, Test Items, Automation
Yan Jin; Jason Fan – Language Assessment Quarterly, 2023
In language assessment, AI technology has been incorporated in task design, assessment delivery, automated scoring of performance-based tasks, score reporting, and provision of feedback. AI technology is also used for collecting and analyzing performance data in language assessment validation. Research has been conducted to investigate the…
Descriptors: Language Tests, Artificial Intelligence, Computer Assisted Testing, Test Format
Haug, Tobias; Mann, Wolfgang; Holzknecht, Franz – Sign Language Studies, 2023
This study is a follow-up to previous research conducted in 2012 on computer-assisted language testing (CALT) that applied a survey approach to investigate the use of technology in sign language testing worldwide. The goal of the current study was to replicate the 2012 study and to obtain updated information on the use of technology in sign…
Descriptors: Computer Assisted Testing, Sign Language, Natural Language Processing, Language Tests
Junlan Pan; Emma Marsden – Language Testing, 2024
"Tests of Aptitude for Language Learning" (TALL) is an openly accessible internet-based battery to measure the multifaceted construct of foreign language aptitude, using language domain-specific instruments and L1-sensitive instructions and stimuli. This brief report introduces the components of this theory-informed battery and…
Descriptors: Language Tests, Aptitude Tests, Second Language Learning, Test Construction
Hitoshi Nishizawa – Language Testing, 2024
Corpus-based studies have offered the domain definition inference for test developers. Yet, corpus-based studies on temporal fluency measures (e.g., speech rate) have been limited, especially in the context of academic lecture settings. This made it difficult for test developers to sample representative fluency features to create authentic…
Descriptors: High Stakes Tests, Language Tests, Second Language Learning, Computer Assisted Testing
Muhammad Yoga Prabowo; Sarah Rahmadian – TEFLIN Journal: A publication on the teaching and learning of English, 2023
The outbreak of the COVID-19 pandemic has transformed the educational landscape in a way unseen before. Educational institutions are navigating between offline and online learning worldwide. Computer-based testing is rapidly taking over paper-and-pencil testing as the dominant mode of assessment. In some settings, computer-based and…
Descriptors: English (Second Language), Second Language Learning, Test Format, Language Tests
MacGregor, David; Yen, Shu Jing; Yu, Xin – Language Assessment Quarterly, 2022
How can one construct a test that provides accurate measurements across the range of performance levels while providing adequate coverage of all of the critical areas of the domain, yet that is not unmanageably long? This paper discusses the approach taken in a linear test of academic English language, and how the transition to a computer-based…
Descriptors: Language Tests, Language Proficiency, Computer Assisted Testing, Adaptive Testing
Charles Hulme; Joshua McGrane; Mihaela Duta; Gillian West; Denise Cripps; Abhishek Dasgupta; Sarah Hearne; Rachel Gardner; Margaret Snowling – Language, Speech, and Hearing Services in Schools, 2024
Purpose: Oral language skills provide a critical foundation for formal education and especially for the development of children's literacy (reading and spelling) skills. It is therefore important for teachers to be able to assess children's language skills, especially if they are concerned about their learning. We report the development and…
Descriptors: Automation, Language Tests, Standardized Tests, Test Construction
Ozdemir, Burhanettin; Gelbal, Selahattin – Education and Information Technologies, 2022
The computerized adaptive tests (CAT) apply an adaptive process in which the items are tailored to individuals' ability scores. The multidimensional CAT (MCAT) designs differ in terms of different item selection, ability estimation, and termination methods being used. This study aims at investigating the performance of the MCAT designs used to…
Descriptors: Scores, Computer Assisted Testing, Test Items, Language Proficiency
Güngör, Müzeyyen Nazli; Güngör, Mustafa Akin – Asia-Pacific Education Researcher, 2021
This article explores the implementation of an online high-stakes language proficiency test during the COVID-19 pandemic through a narrative inquiry of a test-designer, Eda (pseudonym). Situated in the context of Turkish higher education, this study examines Eda's narrative accounts with regard to the development of test adaptation and…
Descriptors: High Stakes Tests, Language Proficiency, Language Tests, Testing
Sangsuwan, Wiramon; Rukthong, Anchana – LEARN Journal: Language Education and Acquisition Research Network, 2023
A direct test of English speaking is important to evaluate what learners can do in real-life situations. However, due to challenges in test administration, especially with a large number of test-takers, a direct speaking test may not be feasible in many contexts and thus indirect tests, such as conversational cloze tests, are mainly used. In…
Descriptors: Language Tests, Speech Communication, Computer Assisted Testing, English (Second Language)
Panachanok Chanwaiwit; Lalida Wiboonwachara – rEFLections, 2025
Chiang Mai Rajabhat University Test of English Proficiency (CMRU-TEP) is a required English proficiency test for all CMRU students before graduation. Despite its meticulous design, there is an opportunity for students to improve their scores through focused efforts and targeted support. This study employs an explanatory sequential mixed-methods…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Language Proficiency
Wudthayagorn, Jirada; Piamsai, Chatraporn; Thanompongchart, Phasphan – PASAA: Journal of Language Teaching and Learning in Thailand, 2022
In Thailand, a series of policies have been implemented at all levels of Thai education. It is hoped that English language ability among Thai citizens will be improved. In primary education, following the English language education policy for primary school students introduced by the Office of Basic Education Commission (2016), English has been…
Descriptors: Language Proficiency, Language Tests, Computer Assisted Testing, Rating Scales
Shi Chen – ProQuest LLC, 2021
Pragmatic competence has been increasingly recognized as a component of academic language proficiency assessment (Youn, 2018). However, the practicality of administering L2 pragmatic competence assessments involving interlocutors remains problematic (e.g., high labor cost) (Ikeda, 2017). The pandemic makes it even more difficult to administer…
Descriptors: Test Construction, Test Validity, Computer Assisted Testing, Second Language Learning
Suzumura, Nana – Language Assessment Quarterly, 2022
The present study is part of a larger mixed methods project that investigated the speaking section of the Advanced Placement (AP) Japanese Language and Culture Exam. It investigated assumptions for the evaluation inference through a content analysis of test taker responses. Results of the content analysis were integrated with those of a many-facet…
Descriptors: Content Analysis, Test Wiseness, Advanced Placement, Computer Assisted Testing