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Somayeh Fathali; Fatemeh Mohajeri – Technology in Language Teaching & Learning, 2025
The International English Language Testing System (IELTS) is a high-stakes exam where Writing Task 2 significantly influences the overall scores, requiring reliable evaluation. While trained human raters perform this task, concerns about subjectivity and inconsistency have led to growing interest in artificial intelligence (AI)-based assessment…
Descriptors: English (Second Language), Language Tests, Second Language Learning, Artificial Intelligence
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Junfei Li; Jinyan Huang; Thomas Sheeran – SAGE Open, 2025
This study investigated the role of ChatGPT4o as an AI peer assessor in English-as-a-foreign-language (EFL) speaking classrooms, with a focus on its scoring reliability and the effectiveness of its feedback. The research involved 40 first-year English major students from two parallel classes at a Chinese university. Twenty from one class served as…
Descriptors: Artificial Intelligence, Technology Uses in Education, Peer Evaluation, English (Second Language)
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On-Soon Lee – Journal of Pan-Pacific Association of Applied Linguistics, 2024
Despite the increasing interest in using AI tools as assistant agents in instructional settings, the effectiveness of ChatGPT, the generative pretrained AI, for evaluating the accuracy of second language (L2) writing has been largely unexplored in formative assessment. Therefore, the current study aims to examine how ChatGPT, as an evaluator,…
Descriptors: Foreign Countries, Undergraduate Students, English (Second Language), Second Language Learning
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Sasithorn Limgomolvilas; Patsawut Sukserm – LEARN Journal: Language Education and Acquisition Research Network, 2025
The assessment of English speaking in EFL environments can be inherently subjective and influenced by various factors beyond linguistic ability, including choice of assessment criteria, and even the rubric type. In classroom assessment, the type of rubric recommended for English speaking tasks is the analytical rubric. Driven by three aims, this…
Descriptors: Oral Language, Speech Communication, English (Second Language), Second Language Learning
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Franz Holzknecht; Sandrine Tornay; Alessia Battisti; Aaron Olaf Batty; Katja Tissi; Tobias Haug; Sarah Ebling – Language Assessment Quarterly, 2024
Although automated spoken language assessment is rapidly growing, such systems have not been widely developed for signed languages. This study provides validity evidence for an automated web application that was developed to assess and give feedback on handshape and hand movement of L2 learners' Swiss German Sign Language signs. The study shows…
Descriptors: Sign Language, Vocabulary Development, Educational Assessment, Automation
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Tanaka, Mitsuko; Ross, Steven J. – Assessment in Education: Principles, Policy & Practice, 2023
Raters vary from each other in their severity and leniency in rating performance. This study examined the factors affecting rater severity in peer assessments of oral presentations in English as a Foreign Language (EFL), focusing on peer raters' self-construal and presentation abilities. Japanese university students enrolled in EFL classes…
Descriptors: Evaluators, Interrater Reliability, Item Response Theory, Peer Evaluation
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Yesilçinar, Sabahattin; Sata, Mehmet – International Journal of Psychology and Educational Studies, 2021
The current study employed many-facet Rasch measurement (MFRM) to explain the rater bias patterns of EFL student teachers (hereafter students) when they rate the teaching performance of their peers in three assessment environments: online, face-to-face, and anonymous. Twenty-four students and two instructors rated 72 micro-teachings performed by…
Descriptors: Peer Evaluation, Preservice Teachers, English (Second Language), Second Language Learning
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Lian Li; Jiehui Hu; Yu Dai; Ping Zhou; Wanhong Zhang – Reading & Writing Quarterly, 2024
This paper proposes to use depth perception to represent raters' decision in holistic evaluation of ESL essays, as an alternative medium to conventional form of numerical scores. The researchers verified the new method's accuracy and inter/intra-rater reliability by inviting 24 ESL teachers to perform different representations when rating 60…
Descriptors: Essays, Holistic Approach, Writing Evaluation, Accuracy
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Hassan Saleh Mahdi; Ahmed Alkhateeb – International Journal of Computer-Assisted Language Learning and Teaching, 2025
This study aims to develop a robust rubric for evaluating artificial intelligence (AI)--assisted essay writing in English as a Foreign Language (EFL) contexts. Employing a modified Delphi technique, we conducted a comprehensive literature review and administered Likert scale questionnaires. This process yielded nine key evaluation criteria,…
Descriptors: Scoring Rubrics, Essays, Writing Evaluation, Artificial Intelligence
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Polat, Murat – International Online Journal of Education and Teaching, 2020
The assessment of speaking skills in foreign language testing has always had some pros (testing learners' speaking skills doubles the validity of any language test) and cons (many testrelevant/irrelevant variables interfere) since it is a multi-dimensional process. In the meantime, exploring grader behaviours while scoring learners' speaking…
Descriptors: Item Response Theory, Interrater Reliability, Speech Skills, Second Language Learning
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Polat, Murat; Turhan, Nihan Sölpük – International Journal of Curriculum and Instruction, 2021
Scoring language learners' speaking skills is open to a number of measurement errors since raters' personal judgements could involve in the process. Different grading designs in which raters score a student's whole speaking skills or a specific dimension of the speaking performance could be settled to control and minimize the amount of the error…
Descriptors: Language Tests, Scoring, Speech Communication, State Universities
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Lamprianou, Iasonas; Tsagari, Dina; Kyriakou, Nansia – Language Testing, 2021
This longitudinal study (2002-2014) investigates the stability of rating characteristics of a large group of raters over time in the context of the writing paper of a national high-stakes examination. The study uses one measure of rater severity and two measures of rater consistency. The results suggest that the rating characteristics of…
Descriptors: Longitudinal Studies, Evaluators, High Stakes Tests, Writing Evaluation
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Derek N. Canning; Stuart McLean; Joseph P. Vitta – Vocabulary Learning and Instruction, 2022
The substantive component of construct validity requires a confrontation between empirical test results and content relevance. The Vocabulary Size Test (VST) has been extensively validated in terms of empirical results. Less is known, however, about expert judgments of content relevance. The VST was constructed and validated according to the…
Descriptors: Foreign Countries, Undergraduate Students, College Faculty, Vocabulary Skills
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Isler, Cemre; Aydin, Belgin – International Journal of Assessment Tools in Education, 2021
This study is about the development and validation process of the Computerized Oral Proficiency Test of English as a Foreign Language (COPTEFL). The test aims at assessing the speaking proficiency levels of students in Anadolu University School of Foreign Languages (AUSFL). For this purpose, three monologic tasks were developed based on the Global…
Descriptors: Test Construction, Construct Validity, Interrater Reliability, Scores
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Alkhanani, Badriah – International Journal of Language Education, 2022
The purpose of this study was to find the effect of English Language Teachers' Methodology (ELTM) on the Career Growth (CG) of the Saudi students. In order to provide a solid basis for this research study, a cross-sectional-descriptive research design was employed. For scale development and tool standardization, inter-class correlation…
Descriptors: Career Development, English (Second Language), Second Language Learning, Second Language Instruction
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