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Download full textOsama 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
Direct linkGavin Bui; Weiran Zhang – Reading in a Foreign Language, 2025
This mixed-methods study investigated the impact of musical lyrics and working memory capacities on second language (L2) English reading comprehension among adult Chinese native speakers. Participants were 57 adult ESL learners with advanced L2 proficiency, divided into high and low working memory capacity groups based on a pre-test. They…
Descriptors: Music, Singing, Second Language Learning, Second Language Instruction
Amir Mahshanian; Mohammadtaghi Shahnazari; Ahmad Moinzadeh – TESL-EJ, 2025
This study investigates the relationships among working memory (WM), syntactic parsing ability (SP), and L2 reading performance across varying proficiency levels. A cohort of 120 L1-Persian EFL learners was categorized into beginner, intermediate, and advanced proficiency groups based on their IELTS scores. Participants completed a reading span…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Reading Achievement
Xiang, Keshu; Chang, Hui – Language Learning and Development, 2023
The present study investigates the multiple constraints on the processing of English dative alternation by Chinese EFL (English as a Foreign Language) learners. The intermediate and advanced learners completed an acceptability judgment task which was composed of 30 dative alternations selected from a spoken corpus. The results showed that the…
Descriptors: Language Processing, Grammar, Verbs, Predictor Variables
Schenck, Andrew; Baldwin, Matthew – Online Submission, 2019
When viewed through a generic, one-size-fits-all perspective, use of input enhancement does not appear effective. Through analysis of individual grammatical features and different learner proficiency levels, a significant impact may be revealed. To study the impact of input enhancement on diverse grammatical features, 16 short reading texts and…
Descriptors: Grammar, Linguistic Input, Language Proficiency, Teaching Methods
