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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
Stefan O'Grady – International Journal of Listening, 2025
Language assessment is increasingly computermediated. This development presents opportunities with new task formats and equally a need for renewed scrutiny of established conventions. Recent recommendations to increase integrated skills assessment in lecture comprehension tests is premised on empirical research that demonstrates enhanced construct…
Descriptors: Language Tests, Lecture Method, Listening Comprehension Tests, Multiple Choice Tests
Takahiro Terao – Applied Measurement in Education, 2024
This study aimed to compare item characteristics and response time between stimulus conditions in computer-delivered listening tests. Listening materials had three variants: regular videos, frame-by-frame videos, and only audios without visuals. Participants were 228 Japanese high school students who were requested to complete one of nine…
Descriptors: Computer Assisted Testing, Audiovisual Aids, Reaction Time, High School Students
Dave Kush; Anne Dahl; Filippa Lindahl – Second Language Research, 2024
Embedded questions (EQs) are islands for filler--gap dependency formation in English, but not in Norwegian. Kush and Dahl (2022) found that first language (L1) Norwegian participants often accepted filler-gap dependencies into EQs in second language (L2) English, and proposed that this reflected persistent transfer from Norwegian of the functional…
Descriptors: Transfer of Training, Norwegian, Native Language, Grammar
Alexander James Kwako – ProQuest LLC, 2023
Automated assessment using Natural Language Processing (NLP) has the potential to make English speaking assessments more reliable, authentic, and accessible. Yet without careful examination, NLP may exacerbate social prejudices based on gender or native language (L1). Current NLP-based assessments are prone to such biases, yet research and…
Descriptors: Gender Bias, Natural Language Processing, Native Language, Computational Linguistics
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)
Selami Aydin; Irem Gedil – Online Submission, 2024
An important issue about testing and assessment is that despite their significant role as item writers, assessors, or decision-makers, teachers' perception of testing and assessment in the English as a foreign language (EFL) context and how their perception differs with certain variables are usually ignored. This study aims to explore teachers'…
Descriptors: Teacher Attitudes, English (Second Language), Second Language Learning, Second Language Instruction
Mehri Izadi; Maliheh Izadi; Farrokhlagha Heidari – Education and Information Technologies, 2024
In today's environment of growing class sizes due to the prevalence of online and e-learning systems, providing one-to-one instruction and feedback has become a challenging task for teachers. Anyhow, the dialectical integration of instruction and assessment into a seamless and dynamic activity can provide a continuous flow of assessment…
Descriptors: Adaptive Testing, Computer Assisted Testing, English (Second Language), Second Language Learning
Rafatbakhsh, Elaheh; Ahmadi, Alireza; Moloodi, Amirsaeid; Mehrpour, Saeed – Educational Measurement: Issues and Practice, 2021
Test development is a crucial, yet difficult and time-consuming part of any educational system, and the task often falls all on teachers. Automatic item generation systems have recently drawn attention as they can reduce this burden and make test development more convenient. Such systems have been developed to generate items for vocabulary,…
Descriptors: Test Construction, Test Items, Computer Assisted Testing, Multiple Choice Tests
Kao, Yu-Ting; Kuo, Hung-Chih – Interactive Learning Environments, 2023
This study implemented the principles of dynamic assessment (DA) with computer technology, iSpring Quiz Maker, to (1) identify the English listening difficulties of 172 L2 English learners; (2) diagnose their individual learning needs, and (3) promote their future potential abilities. Upon evaluating the participating junior high school students'…
Descriptors: Listening Comprehension Tests, English (Second Language), Second Language Learning, Second Language Instruction
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
Burton, J. Dylan – Language Assessment Quarterly, 2023
The effects of question or task complexity on second language speaking have traditionally been investigated using complexity, accuracy, and fluency measures. Response processes in speaking tests, however, may manifest in other ways, such as through nonverbal behavior. Eye behavior, in the form of averted gaze or blinking frequency, has been found…
Descriptors: Oral Language, Speech Communication, Language Tests, Eye Movements
Sahin, Murat Dogan; Gelbal, Selahattin – International Journal of Assessment Tools in Education, 2020
The purpose of this study was to conduct a real-time multidimensional computerized adaptive test (MCAT) using data from a previous paper-pencil test (PPT) regarding the grammar and vocabulary dimensions of an end-of-term proficiency exam conducted on students in a preparatory class at a university. An item pool was established through four…
Descriptors: Adaptive Testing, Computer Assisted Testing, Language Tests, Language Proficiency
Guzman-Orth, Danielle; Song, Yi; Sparks, Jesse R. – ETS Research Report Series, 2019
In this study, we investigated the challenges and opportunities in developing a computer-delivered English language arts (ELA) task intended to improve the accessibility of the task for middle school English learners (ELs). Data from cognitive labs with 8 ELs with varying language proficiency levels provided rich insight to student-- task…
Descriptors: Formative Evaluation, Test Construction, Test Items, Persuasive Discourse
Kormos, Judit; Brunfaut, Tineke; Michel, Marije – Language Assessment Quarterly, 2020
Previous studies examined the association between motivational characteristics and language learning achievement, but considerably less is known about young language learners' task-specific motivation in assessment contexts. Our study investigated the task motivation of young learners of English when completing computer-administered integrated…
Descriptors: Computer Assisted Testing, English (Second Language), Second Language Learning, Student Motivation