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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
de Jong, Nivja H.; Pacilly, Jos; Heeren, Willemijn – Assessment in Education: Principles, Policy & Practice, 2021
Fluency in terms of speed of speech and (lack of) hesitations such as silent and filled pauses ('uhm's) is part of oral proficiency. Language assessment rubrics therefore include aspects of fluency. Measuring fluency, however, is highly time-consuming because of the manual labour involved. The current paper aims to automatically measure aspects of…
Descriptors: Language Fluency, Speech Skills, Second Languages, Indo European Languages
Ali Akbar Ariamanesh; Hossein Barati; Manijeh Youhanaee – International Journal of Language Testing, 2023
The present study investigates the efficacy of preparation time in four speaking tasks of TOEFL iBT. As the current pre-task planning time offered by ETS is very short, 15 to 30 seconds, we intended to explore how the test-takers' speaking quality would change if the preparation time was added to the response time, giving the respondents a…
Descriptors: English (Second Language), Second Language Learning, Language Tests, Test Preparation
Mingying Zheng – ProQuest LLC, 2024
The digital transformation in educational assessment has led to the proliferation of large-scale data, offering unprecedented opportunities to enhance language learning, and testing through machine learning (ML) techniques. Drawing on the extensive data generated by online English language assessments, this dissertation investigates the efficacy…
Descriptors: Artificial Intelligence, Computational Linguistics, Language Tests, English (Second Language)
Ghahderijani, Behnoosh Heshmat; Namaziandost, Ehsan; Tavakoli, Mona; Kumar, Tribhuwan; Magizov, Rustem – Language Testing in Asia, 2021
This study attempted to check the impact of two dynamic assessment (DA) models on speaking CAF. DA, as opposed to static assessment, is conceived as an interactive approach to assessment that integrates teaching and testing into a unified instructional engagement. To achieve the goals of this research, a convenience sample of 90 upper-intermediate…
Descriptors: Foreign Countries, Alternative Assessment, Group Testing, Computer Assisted Testing
Chia-Hsuan Liao; Ellen Lau – Second Language Research, 2024
Event concepts of common verbs (e.g. "eat," "sleep") can be broadly shared across languages, but a given language's rules for subcategorization are largely arbitrary and vary substantially across languages. When subcategorization information does not match between first language (L1) and second language (L2), how does this…
Descriptors: Verbs, Brain Hemisphere Functions, Diagnostic Tests, English
Omid S. Kalantar – International Journal of Language Testing, 2024
This study sought to identify the challenges and needs of TOEFL iBT candidates in achieving C1 level scores in the speaking and writing sections of the exam. To this end, the researcher employed a mixed-method approach to collect data from a population of 46 students, both male and female, between the ages of 22 and 30. The participants were…
Descriptors: Language Tests, Scores, Native Language, Grammar
Davoodifard, Mahshad – Studies in Applied Linguistics & TESOL, 2022
Over the past 40 years, second language educators and assessors have come to the realization that investigating the process of writing can shed light on language teaching, learning and assessment practices (Odendahl & Deane, 2018). What L2 writers do and think while writing can provide links between the task, the related construct and the…
Descriptors: Writing Processes, Accuracy, Teaching Methods, Writing Instruction
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)
Cox, Troy L.; Brown, Alan V.; Thompson, Gregory L. – Language Testing, 2023
The rating of proficiency tests that use the Inter-agency Roundtable (ILR) and American Council on the Teaching of Foreign Languages (ACTFL) guidelines claims that each major level is based on hierarchal linguistic functions that require mastery of multidimensional traits in such a way that each level subsumes the levels beneath it. These…
Descriptors: Oral Language, Language Fluency, Scoring, Cues
Hopp, Holger; Grüter, Theres – Second Language Research, 2023
In two visual-world eye-tracking experiments, we explore the extent to which conflicting first-language (L1) based grammatical parses influence second-language (L2) learners' on-line and off-line interpretation of sentences in the L2. We used cross-linguistic structural priming to potentially boost competition from the L1 grammar during the…
Descriptors: Contrastive Linguistics, Second Language Learning, Second Language Instruction, Grammar
Qiao Wang; Ralph L. Rose; Ayaka Sugawara; Naho Orita – Vocabulary Learning and Instruction, 2025
VocQGen is an automated tool designed to generate multiple-choice cloze (MCC) questions for vocabulary assessment in second language learning contexts. It leverages several natural language processing (NLP) tools and OpenAI's GPT-4 model to produce MCC items quickly from user-specified word lists. To evaluate its effectiveness, we used the first…
Descriptors: Vocabulary Skills, Artificial Intelligence, Computer Software, Multiple Choice Tests
Mohammadi, Mojtaba; Zarrabi, Maryam; Kamali, Jaber – International Journal of Language Testing, 2023
With the incremental integration of technology in writing assessment, technology-generated feedback has found its way to take further steps toward replacing human corrective feedback and rating. Yet, further investigation is deemed necessary regarding its potential use either as a supplement to or replacement for human feedback. This study aims to…
Descriptors: Formative Evaluation, Writing Evaluation, Feedback (Response), Computer Assisted Testing
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
Gawliczek, Piotr; Krykun, Viktoriia; Tarasenko, Nataliya; Tyshchenko, Maksym; Shapran, Oleksandr – Advanced Education, 2021
The article deals with the innovative, cutting age solution within the language testing realm, namely computer adaptive language testing (CALT) in accordance with the NATO Standardization Agreement 6001 (NATO STANAG 6001) requirements for further implementation in foreign language training of personnel of the Armed Forces of Ukraine (AF of…
Descriptors: Computer Assisted Testing, Adaptive Testing, Language Tests, Second Language Instruction