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Showing all 14 results Save | Export
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Haerim Hwang – Written Communication, 2025
The use of subordination enables language users to achieve syntactic efficiency by allowing them to connect ideas in temporal/logical relation. Although the importance of subordination has been recognized in previous research on second language (L2) writing, it has been typically assessed with global indices that measure overall ratio of…
Descriptors: Second Language Learning, Writing (Composition), Form Classes (Languages), Syntax
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Abbas Hadizadeh – Acuity: Journal of English Language Pedagogy, Literature and Culture, 2024
Since the advent of computer-mediated communication (CMC) technologies, the landscape of education, especially in English Language Teaching and learning, has undergone significant transformations. Academic writing, a key skill in this context, has witnessed notable benefits from technological advancements, particularly in the contemporary era. One…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, English (Second Language)
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Ji-Young Seo – Language Teaching Research Quarterly, 2024
Although ChatGPT provides excellent features as a writing assistant tool, few empirical studies have been conducted on its integration into writing education investigating students' usage pattern and impact on the writing skills of students. This exploratory research aims to fill this research gap by analyzing prompts initiated by students and…
Descriptors: Technology Uses in Education, Artificial Intelligence, Natural Language Processing, Writing (Composition)
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Li Dong – Language Teaching Research Quarterly, 2024
This personal reflection explores the ethical considerations surrounding the use of ChatGPT in ESL writing education. It begins by highlighting contrasting perspectives on the tool's impact, from skepticism to its potential as an empowering resource for students, particular with the immediate feedback ChatGPT provides. Then in reviewing existing…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Second Language Learning
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Cynthia Milton; Vidhya Lokesh; Gayathri Thiruvengadam – Advanced Education, 2024
The level of reliance on AI-Powered Writing Tools (AI-PWT) profoundly impacts the independent writing skill of English as Second Language (ESL) learners. The present study explores the familiarity and utility of two different types of AI -Powered Writing Tools (Independent Writing with AI editing assistance; Generative writing with AI assistance)…
Descriptors: Artificial Intelligence, Writing (Composition), Writing Skills, Health Sciences
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Uzun, Kutay; Ulum, Ömer Gökhan – Acuity: Journal of English Language Pedagogy, Literature and Culture, 2022
This study aimed to utilize sentiment and sentence similarity analyses, two Natural Language Processing techniques, to see if and how well they could predict L2 Writing Performance in integrated and independent task conditions. The data sources were an integrated L2 writing corpus of 185 literary analysis essays and an independent L2 writing…
Descriptors: Natural Language Processing, Second Language Learning, Second Language Instruction, Writing (Composition)
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Liang, Jia-Cing; Hwang, Gwo-Jen; Chen, Mei-Rong Alice; Darmawansah, Darmawansah – Interactive Learning Environments, 2023
This study explores the roles and research foci of AILEd (Artificial Intelligence in Language Education). The AILEd studies published from 1990 to 2020 in the WOS (Web of Science) database were included in the present study. Based on the well-recognized Technology-based Learning Review model, several dimensions, such as research methods, research…
Descriptors: Artificial Intelligence, Technology Uses in Education, Second Language Learning, Educational Trends
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Lok Ming Eric Cheung; Huiwen Shi – Australian Review of Applied Linguistics, 2024
Publicly available Generative Artificial Intelligence (GenAI) tools are said to liberate students from the instrumental use of English and empower them to write creative texts to communicate with different communities. This paper reports on an undergraduate language-related service-learning subject in a Hong Kong tertiary institution. In the…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Reflection
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Sumie Tsz Sum Chan; Noble Po Kan Lo; Alan Man Him Wong – Contemporary Educational Technology, 2024
This paper investigates the effects of large language model (LLM) based feedback on the essay writing proficiency of university students in Hong Kong. It focuses on exploring the potential improvements that generative artificial intelligence (AI) can bring to student essay revisions, its effect on student engagement with writing tasks, and the…
Descriptors: English (Second Language), Second Language Learning, Language Proficiency, Foreign Countries
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Crossley, Scott A. – Language Teaching, 2013
This paper provides an agenda for replication studies focusing on second language (L2) writing and the use of natural language processing (NLP) tools and machine learning algorithms. Specifically, it introduces a range of the available NLP tools and machine learning algorithms and demonstrates how these could be used to replicate seminal studies…
Descriptors: Language Processing, Writing Instruction, Teaching Methods, Natural Language Processing
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Chukharev-Hudilainen, Evgeny; Saricaoglu, Aysel – Computer Assisted Language Learning, 2016
Expressing causal relations plays a central role in academic writing. While it is important that writing instructors assess and provide feedback on learners' causal discourse, it could be a very time-consuming task. In this respect, automated writing evaluation (AWE) tools may be helpful. However, to date, there have been no AWE tools capable of…
Descriptors: Discourse Analysis, Feedback (Response), Undergraduate Students, Accuracy
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Harbusch, Karin; Itsova, Gergana; Koch, Ulrich; Kuhner, Christine – CALICO Journal, 2009
We built a natural language processing (NLP) system implementing a "virtual writing conference" for elementary-school children, with German as the target language. Currently, state-of-the-art computer support for writing tasks is restricted to multiple-choice questions or quizzes because automatic parsing of the often ambiguous and fragmentary…
Descriptors: Feedback (Response), Sentences, Grammar, Writing Processes
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Chang, Yu-Chia; Chang, Jason S.; Chen, Hao-Jan; Liou, Hsien-Chin – Computer Assisted Language Learning, 2008
Previous work in the literature reveals that EFL learners were deficient in collocations that are a hallmark of near native fluency in learner's writing. Among different types of collocations, the verb-noun (V-N) one was found to be particularly difficult to master, and learners' first language was also found to heavily influence their collocation…
Descriptors: Sentence Structure, Verbs, Nouns, Foreign Countries
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Pasero, Robert; Sabatier, Paul – Computer Assisted Language Learning, 1998
Describes principles underlying ILLICO, a generic natural-language software tool for building larger applications for performing specific linguistic tasks such as analysis, synthesis, and guided composition. Shows to what extent this approach is relevant to the development of computer-assisted language-learning systems. (Author/VWL)
Descriptors: Computer Assisted Instruction, Computer Software, Natural Language Processing, Second Language Instruction