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Direct linkBenjamin S. Naismith – ProQuest LLC, 2022
This study investigates how aspects of collocational proficiency affect the ratings that expert examiners give to second language (L2) English learner essays. Lexical proficiency is a multi-faceted phenomenon and certain aspects of it are particularly impactful on human judgements, including lexical sophistication and accuracy. However, the…
Descriptors: Second Language Learning, Language Proficiency, Writing (Composition), Essays
Peer reviewed
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
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
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
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
Snow Andrade, Maureen; Evans, Norman W.; Hartshorn, K. James – Journal of Student Affairs Research and Practice, 2014
Higher education institutions in English-speaking nations host significant populations of non-native English speakers (NNES), both international and resident. English language proficiency is a critical factor to their success. This study reviews higher education practices in the United States related to this population. Findings indicate…
Descriptors: Higher Education, Educational Practices, English Language Learners, English (Second Language)
