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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
Mohamad Javad Baghiat Esfahani; Saeed Ketabi – Journal of Applied Research in Higher Education, 2024
Purpose: This study attempts to evaluate the effect of the corpus-based inductive teaching approach with multiple academic corpora (PICA, CAEC and Oxford Corpus of Academic English) and conventional deductive teaching approach (i.e., multiple-choice items, filling the gap, matching and underlining) on learning academic collocations by Iranian…
Descriptors: Computational Linguistics, Teaching Methods, Advanced Students, English (Second Language)
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
Arifi Waked; Muhammad W. Ashraf; Hanadi AbdelSalam; Khadija El Alaoui; Maura Pilotti – International Society for Technology, Education, and Science, 2024
Questions exist as to whether AI tools, such as ChatGPT, can aid learning. This study examined whether in-class exercises involving error detection in text generated by ChatGPT can aid students' foreign language writing. Participants were Arabic-English speakers who were classified as ranging from modest to competent English users according to…
Descriptors: Artificial Intelligence, Computer Software, Second Language Learning, Second Language Instruction
Shin’ichiro Ishikawa – LEARN Journal: Language Education and Acquisition Research Network, 2025
A writer's L1 is generally believed to influence their L2 English writing significantly. However, the extent to which L1 backgrounds influence Asian learners' L2 English writing has not been wholly elucidated due to the lack of data covering various learners in Asia. Therefore, this study analysed more than one-million-word essays written by 2,318…
Descriptors: Native Language, English (Second Language), Second Language Learning, Second Language Instruction
Incidental L2 Lexical Acquisition in Reading: The Role of L2-Gloss Frequency and Learner Proficiency
Zhao, Ting; Ren, Juan – Language Learning Journal, 2019
The present study aims to investigate the effects of gloss use, L2-gloss frequency and learner proficiency on incidental L2 lexical acquisition. A total of 163 university students in China were assigned to one of the three reading conditions: no gloss (NG), higher frequency L2 gloss (HFLG) and lower frequency L2 gloss (LFLG). The participants read…
Descriptors: Incidental Learning, Second Language Learning, Second Language Instruction, Recall (Psychology)
Douglas, Scott Roy – TESL Canada Journal, 2015
Independent confirmation that vocabulary in use unfolds across levels of performance as expected can contribute to a more complete understanding of validity in standardized English language tests. This study examined the relationship between Lexical Frequency Profiling (LFP) measures and rater judgements of test-takers' overall levels of…
Descriptors: Language Proficiency, Language Tests, Computational Linguistics, Test Validity
Huang, Lan-fen – Taiwan Journal of TESOL, 2014
This paper reports the compilation of a corpus of Taiwanese students' spoken English, which is one of the sub-corpora of the Louvain International Database of Spoken English Interlanguage (LINDSEI) (Gilquin, De Cock, & Granger, 2010). LINDSEI is one of the largest corpora of learner speech. The compilation process follows the design criteria…
Descriptors: Interlanguage, Databases, English (Second Language), Second Language Learning