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What Works Clearinghouse Rating
Jia, Wenfeng; Zhang, Peixin – Language Testing in Asia, 2023
It is widely believed that raters' cognition is an important aspect of writing assessment, as it has both logical and temporal priority over scores. Based on a critical review of previous research in this area, it is found that raters' cognition can be boiled to two fundamental issues: building text images and strategies for articulating scores.…
Descriptors: Problem Solving, Cognitive Processes, Writing Evaluation, Evaluators
Taichi Yamashita – Language Testing, 2025
With the rapid development of generative artificial intelligence (AI) frameworks (e.g., the generative pre-trained transformer [GPT]), a growing number of researchers have started to explore its potential as an automated essay scoring (AES) system. While previous studies have investigated the alignment between human ratings and GPT ratings, few…
Descriptors: Artificial Intelligence, English (Second Language), Second Language Learning, Second Language Instruction
Osama Koraishi – Language Teaching Research Quarterly, 2024
This study conducts a comprehensive quantitative evaluation of OpenAI's language model, ChatGPT 4, for grading Task 2 writing of the IELTS exam. The objective is to assess the alignment between ChatGPT's grading and that of official human raters. The analysis encompassed a multifaceted approach, including a comparison of means and reliability…
Descriptors: Second Language Learning, English (Second Language), Language Tests, Artificial Intelligence
Ait Hammou, Brahim; Larouz, Mohammed; Fagroud, Mustapha; Akki, Fouad – Canadian Journal of Applied Linguistics / Revue canadienne de linguistique appliquée, 2023
This study aims to examine the relationship between the productive knowledge of some lexical and phraseological indices and the quality of English as a Foreign Language (EFL) learners' writing. A sample of 120 expository essays, written by semesters 1 and 5 university students in a less proficient EFL context, are rated by human evaluators and…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Writing Instruction
Ahmet Can Uyar; Dilek Büyükahiska – International Journal of Assessment Tools in Education, 2025
This study explores the effectiveness of using ChatGPT, an Artificial Intelligence (AI) language model, as an Automated Essay Scoring (AES) tool for grading English as a Foreign Language (EFL) learners' essays. The corpus consists of 50 essays representing various types including analysis, compare and contrast, descriptive, narrative, and opinion…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Teaching Methods
Vasfiye Geçkin; Ebru Kiziltas; Çagatay Çinar – Journal of Educational Technology and Online Learning, 2023
The quality of writing in a second language (L2) is one of the indicators of the level of proficiency for many college students to be eligible for departmental studies. Although certain software programs, such as Intelligent Essay Assessor or IntelliMetric, have been introduced to evaluate second-language writing quality, an overall assessment of…
Descriptors: Writing Evaluation, Second Language Learning, Second Language Instruction, Language Proficiency
Yuko Hayashi; Yusuke Kondo; Yutaka Ishii – Innovation in Language Learning and Teaching, 2024
Purpose: This study builds a new system for automatically assessing learners' speech elicited from an oral discourse completion task (DCT), and evaluates the prediction capability of the system with a view to better understanding factors deemed influential in predicting speaking proficiency scores and the pedagogical implications of the system.…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Japanese
Comparing Rating Modes: Analysing Live, Audio, and Video Ratings of IELTS Speaking Test Performances
Nakatsuhara, Fumiyo; Inoue, Chihiro; Taylor, Lynda – Language Assessment Quarterly, 2021
This mixed methods study compared IELTS examiners' scores when assessing spoken performances under live and two 'non-live' testing conditions using audio and video recordings. Six IELTS examiners assessed 36 test-takers' performances under the live, audio, and video rating conditions. Scores in the three rating modes were calibrated using the…
Descriptors: Video Technology, Audio Equipment, English (Second Language), Language Tests
J. Dylan Burton – Language Testing, 2024
Nonverbal behavior can impact language proficiency scores in speaking tests, but there is little empirical information of the size or consistency of its effects or whether language proficiency may be a moderating variable. In this study, 100 novice raters watched and scored 30 recordings of test takers taking an international, high stakes…
Descriptors: Nonverbal Ability, Language Fluency, Second Language Learning, Language Proficiency
Jin Soo Choi – ProQuest LLC, 2022
Nonverbal behavior is essential in human interaction (Gullberg, de Bot, & Volterra, 2008; McNeill, 1992, 2005). For second language speakers, nonverbal features can be helpful for successful and efficient communication (e.g., Dahl & Ludvigsen, 2014). However, due to the complexity of nonverbal features, language testing institutions have…
Descriptors: Language Tests, Language Proficiency, Videoconferencing, Second Language Learning
Kermad, Alyssa; Bogorevich, Valeria – Language Teaching Research Quarterly, 2022
The practice of second language (L2) speech perception has traditionally relied on equal-interval perceptual scales and novice listeners' (NLs) impressionistic judgments of constructs such as accentedness and comprehensibility (Munro & Derwing, 2011). However, issues have surfaced with respect to how well NLs can use these scales, whether they…
Descriptors: Speech Communication, Second Language Learning, Intelligibility, Rating Scales
Xu, Jing; Jones, Edmund; Laxton, Victoria; Galaczi, Evelina – Assessment in Education: Principles, Policy & Practice, 2021
Recent advances in machine learning have made automated scoring of learner speech widespread, and yet validation research that provides support for applying automated scoring technology to assessment is still in its infancy. Both the educational measurement and language assessment communities have called for greater transparency in describing…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Computer Software
Eskin, Daniel – Studies in Applied Linguistics & TESOL, 2022
For agencies that deliver high-stakes Second Language (L2) proficiency exams, a research agenda has been undertaken for years to examine the role of rater, task, and rubric as sources of variability into their performance assessments (Lee, 2006; Sawaki & Sinharay, 2013; Xi, 2007; Xi & Mollaun, 2006). However, these challenges are more…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Student Placement
Thai, Thuy; Sheehan, Susan – Language Education & Assessment, 2022
In language performance tests, raters are important as their scoring decisions determine which aspects of performance the scores represent; however, raters are considered as one of the potential sources contributing to unwanted variability in scores (Davis, 2012). Although a great number of studies have been conducted to unpack how rater…
Descriptors: Rating Scales, Speech Communication, Second Language Learning, Second Language Instruction
Lin, Yi-Hsuan – Taiwan Journal of TESOL, 2023
Local tour guides' English speaking competence determines inbound international tourists' travel experiences. This study investigated student tour guides' English learning by adopting role-play tasks. The communicative tasks were designed to explore how real interactions prepared English as Foreign Language (EFL) learners to become cultural…
Descriptors: Tourism, English (Second Language), Second Language Learning, Second Language Instruction

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