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Ben Markey; David West Brown; Michael Laudenbach; Alan Kohler – Written Communication, 2024
ChatGPT and other LLMs are at the forefront of pedagogical considerations in classrooms across the academy. Many studies have spoken to the technology's capacity to generate one-off texts in a variety of genres. This study complements those by inquiring into its capacity to generate compelling texts at scale. In this study, we quantitatively and…
Descriptors: Content Analysis, Language Usage, Artificial Intelligence, Computer Software
Robert Godwin-Jones – Language Learning & Technology, 2024
Generative AI offers significant opportunities for language learning. Tools like ChatGPT provide second language practice through chats in written or voice formats, with the learner specifying through prompts conversational parameters. AI can be instructed to give corrective feedback and create practice exercises. Using AI, instructors can build…
Descriptors: Second Language Learning, Second Language Instruction, Artificial Intelligence, Computer Software
Mroz, Aurore P.; Thrasher, Tricia – Foreign Language Annals, 2022
This longitudinal study explores how the language proficiency of eight (N = 8) US-affiliated university students developed relative to their smartphone usage during study abroad (SA) in Paris. Phone usage was tracked daily with Space, proficiency weekly using NCSSFL-ACTFL Can-Do statements, and language use monthly via a Language Engagement…
Descriptors: Handheld Devices, French, Second Language Learning, College Students
Nailatul Amani; Maslihatul Bisriyah – Indonesian Journal of English Language Teaching and Applied Linguistics, 2025
Artificial intelligence (AI) is transforming education by offering personalized learning tools, yet its role in fostering self-regulated learning (SRL) strategies among English as a Foreign Language (EFL) students remains underexplored. This study investigates EFL students' perceptions of AI applications in supporting their self-regulated writing…
Descriptors: Metacognition, Writing Instruction, Grammar, Artificial Intelligence
Dararat Khampusaen – LEARN Journal: Language Education and Acquisition Research Network, 2025
This study investigates the impact of ChatGPT on EFL students' argumentative writing development of 30 third-year English majors. The research examines writing quality improvements, student perceptions, and patterns of AI tool usage across a 16-week period. This study employed a mixed-methods design to investigate both students' writing…
Descriptors: Integrity, Essays, Persuasive Discourse, Artificial Intelligence
Rajati Mariappan; Kim Hua Tan; Bromeley Philip – Journal of Education and Learning (EduLearn), 2025
Incorporating technology with linguistics has created opportunities to explore the effectiveness of grammar checkers in cultivating an autonomous learning culture among English as a second language (ESL) and English as a foreign language (EFL) learner. Even though there have been numerous studies on grammar checkers to cultivate autonomous…
Descriptors: Computational Linguistics, Computer Software, Grammar, Private Schools
Jaeho Jeon; Seongyong Lee; SerafĂn M. Coronel-Molina – ELT Journal, 2024
Artificial intelligence (AI) technologies, particularly chatbots with speech-recognition, are gaining attention as tools for ELT. However, this frontline development in contemporary ELT seems to stand in stark contrast to the multilingual effort, another innovative trend, as chatbots' speech recognition capabilities are primarily attuned to native…
Descriptors: Artificial Intelligence, Computer Software, English (Second Language), Second Language Learning
David James Woo; Hengky Susanto; Chi Ho Yeung; Kai Guo; April Ka Yeng Fung – Language Learning & Technology, 2024
English as a foreign language (EFL) students' use of artificial intelligence (AI) tools that generate human-like text may enhance students' written work. However, the extent to which students use AI-generated text to complete a written composition and how AI-generated text influences the overall writing quality remain uncertain. 23 Hong Kong…
Descriptors: Artificial Intelligence, Writing Instruction, English Language Learners, English (Second Language)
Frankenberg-Garcia, Ana; Rees, Geraint; Lew, Robert; Roberts, Jonathan; Sharma, Nirwan; Butcher, Peter – Research-publishing.net, 2019
This short paper summarizes the development of ColloCaid (www. collocaid.uk), a text editor that supports writers with academic English collocations. After a brief introduction, the paper summarizes how the lexicographic database underlying ColloCaid was compiled, how text editor integration was achieved, and results from initial user studies. The…
Descriptors: Educational Technology, Technology Uses in Education, English for Academic Purposes, Vocabulary
Geisler, Cheryl – Written Communication, 2018
Coding, the analytic task of assigning codes to nonnumeric data, is foundational to writing research. A rich discussion of methodological pluralism has established the foundational importance of systematicity in the task of coding, but less attention has been paid to the equally important commitment to language complexity. Addressing the interplay…
Descriptors: Coding, Writing Research, Spreadsheets, Computer Software
Rummler, Klaus; Grabensteiner, Caroline; Schneider-Stingelin, Colette – Comunicar: Media Education Research Journal, 2020
This contribution discusses emerging cultural practices of media activities with the example of homework as an out-ofschool learning context. Data was collected using diaries on the use of media during out-of-school learning activities. Central theoretical frameworks include the German theory of Medienbildung as an actor's threefold relation…
Descriptors: Homework, Telecommunications, Handheld Devices, Secondary School Students
Leahy, Christine – IAFOR Journal of Language Learning, 2016
This research study explores the learning potential of a computer-assisted language learning (CALL) activity. Research suggests that the dual emphasis on content development and language accuracy, as well as the complexity of L2 production in natural settings, can potentially create cognitive overload. This study poses the question whether, and…
Descriptors: Educational Technology, Technology Uses in Education, Computer Assisted Instruction, Second Language Instruction
Frankel, Lois; Brownstein, Beth – Educational Testing Service, 2016
The work described in this report is the second phase of a project to provide easy-to-use tools for authoring and rendering secondaryschool algebra-levelmath expressions insynthesized speech that is useful for studentswithblindnessor lowvision.This report describes the development and results of the second feedback study performed for our project,…
Descriptors: Visual Impairments, Blindness, Assistive Technology, Feedback (Response)
Mills, Daniel; Kennedy, Olivia – JALT CALL Journal, 2013
Despite having studied English for some 33 months, the students at the private junior high school in Japan described in this paper had never before been asked to write original compositions in the language. The researchers undertook a quasi-experimental pilot study in which the 156 (n= 156) participants were each asked to write four compositions,…
Descriptors: Foreign Countries, English (Second Language), Junior High School Students, Writing Assignments
Beltran, Elina Vilar, Ed.; Abbott, Chris, Ed.; Jones, Jane, Ed. – Multilingual Matters, 2013
This volume brings together chapters which collectively address issues relating to inclusive language education and technology. Topics include language teaching to the Deaf, Hard of Hearing and students with dyslexia, benefits of multimodal approaches for language learning, examples of software use in the language classroom, and copyright matters.…
Descriptors: Language Usage, Deafness, Hearing Impairments, Dyslexia