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Michael D. Carey; Stefan Szocs – Language Testing, 2024
This controlled experimental study investigated the interaction of variables associated with rating the pronunciation component of high-stakes English-language-speaking tests such as IELTS and TOEFL iBT. One hundred experienced raters who were all either familiar or unfamiliar with Brazilian-accented English or Papua New Guinean Tok Pisin-accented…
Descriptors: Dialects, Pronunciation, Suprasegmentals, Familiarity
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
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
Heidari, Nasim; Ghanbari, Nasim; Abbasi, Abbas – Language Testing in Asia, 2022
It is widely believed that human rating performance is influenced by an array of different factors. Among these, rater-related variables such as experience, language background, perceptions, and attitudes have been mentioned. One of the important rater-related factors is the way the raters interact with the rating scales. In particular, how raters…
Descriptors: Evaluators, Rating Scales, Language Tests, English (Second Language)
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
Investigating the Impact of Rater Training on Rater Errors in the Process of Assessing Writing Skill
Sata, Mehmet; Karakaya, Ismail – International Journal of Assessment Tools in Education, 2022
In the process of measuring and assessing high-level cognitive skills, interference of rater errors in measurements brings about a constant concern and low objectivity. The main purpose of this study was to investigate the impact of rater training on rater errors in the process of assessing individual performance. The study was conducted with a…
Descriptors: Evaluators, Training, Comparative Analysis, Academic Language
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