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Farshad Effatpanah; Purya Baghaei; Hamdollah Ravand; Olga Kunina-Habenicht – International Journal of Testing, 2025
This study applied the Mixed Rasch Model (MRM) to the listening comprehension section of the International English Language Testing System (IELTS) to detect latent class differential item functioning (DIF) by exploring multiple profiles of second/foreign language listeners. Item responses of 462 examinees to an IELTS listening test were subjected…
Descriptors: Item Response Theory, Second Language Learning, Listening Comprehension, English (Second Language)
Xinming Chen; Ziqian Zhou; Malila Prado – International Journal of Assessment Tools in Education, 2025
This study explores the efficacy of ChatGPT-3.5, an AI chatbot, used as an Automatic Essay Scoring (AES) system and feedback provider for IELTS essay preparation. It investigates the alignment between scores given by ChatGPT-3.5 and those assigned by official IELTS examiners to establish its reliability as an AES. It also identifies the strategies…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Automation
Afshin Soori; Laleh Khojasteh; Fareeha Javed – Technology in Language Teaching & Learning, 2025
Effective feedback plays a critical role in enhancing the writing skills of English as a Foreign Language (EFL) learners. This study examines the comparative effectiveness of three feedback approaches--Teacher e-feedback, AI-based feedback, and a hybrid model--in enhancing the writing performance of Iranian intermediate-level EFL learners. A…
Descriptors: Feedback (Response), Artificial Intelligence, Computer Uses in Education, English (Second Language)
Zahra Zargaran – Australian Journal of Applied Linguistics, 2025
Providing feedback on EFL Learners' speaking errors has been extensively researched, with numerous studies highlighting its benefits (Van Ha, et al., 2021; Hartono, 2022). This study investigates the impact of "pending feedback", a type of feedback where students must independently discover the correct answer. This research emphasizes…
Descriptors: Second Language Learning, English (Second Language), Language Tests, Accuracy
Zhe Zhang; Ken Hyland – Computer Assisted Language Learning, 2025
Research on second language (L2) writing suggests that student engagement with automated writing evaluation (AWE) feedback is influenced by various individual and contextual factors. Little attention, however, has been given to the role that students' digital literacy can play in this process. Increasingly, digital literacy is becoming…
Descriptors: Writing Evaluation, Feedback (Response), Second Language Learning, Second Language Instruction
Masoud Rahimi; Jalil Fathi; Di Zou – Education and Information Technologies, 2025
Grounded in the activity theory, we adopted a sequential explanatory mixed-methods approach to explore the impact of automated written corrective feedback (AWCF) on English as a foreign language (EFL) learners' academic writing skills (i.e. task achievement, coherence and cohesion, lexicon, and grammatical range and accuracy). To this end, two…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Language Tests

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