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Showing 1 to 15 of 48 results Save | Export
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Nicole Mills; Hannah Hok; Arnaud Dressen; Quentin Veillas – Foreign Language Annals, 2025
The Modern Language Association (MLA) published a writing and artificial intelligence (AI) working paper that provided an overview of key issues, concerns, and recommendations to help language educators make principle-driven pedagogical decisions to support critical AI literacy. To address the MLA's recommendations, a collaborative AI writing…
Descriptors: Teaching Methods, Second Language Learning, Second Language Instruction, Artificial Intelligence
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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
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Kyle R. Van Horn – TESL-EJ, 2024
Building on previous research, this qualitative exploratory study investigates the impact of ChatGPT on English language classes among Korean university students. The researcher uses pre- and post-training surveys, in-class observations, and interviews to explore 120 students' perceptions of their experiences over a 15-week semester. Results…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Artificial Intelligence
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Ting-Chia Hsu; Ching Chang; Tien-Hsiu Jen – Interactive Learning Environments, 2024
Young learners' vocabulary learning needs interaction with language input when they are engaged in an activity. Given that AI-supported image recognition technologies offer hands-on learning in authentic contexts, and that self-regulated learning (SRL) enables learners to monitor and evaluate their learning when interacting with multi-sensory…
Descriptors: Metacognition, Multisensory Learning, Vocabulary Development, Learning Strategies
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Samsul Arifin; Joko Nurkamto; Dewi Rochsantiningsih; Gunarhadi – rEFLections, 2024
The shift from online to offline learning during the post-COVID-19 pandemic prevents pre-service EFL teachers from producing spontaneous oral utterances due to speaking anxiety. The article aims to determine the most preferential strategies that effectively cover speaking anxiety and identify a significant variation among the strategies. To meet…
Descriptors: Speech Communication, Anxiety, English (Second Language), Second Language Instruction
Vu Phi Ho Pham; Nhung Hong Nguyen – Online Submission, 2025
This exploratory qualitative study aims to explore the ChatGPT use of Van-Lang-University graduate students in a research writing course and the cognitive levels of their reactions to its responses. The data was collected from observations and interviews with twelve Vietnamese graduate students studying in a research writing class at this…
Descriptors: Graduate Students, Writing Instruction, Technology Integration, Computer Software
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Ya-Mei Chen – Interpreter and Translator Trainer, 2024
This study explores the way translation crowdsourcing may contribute to metacognitive translator training through a teaching experiment where Global Voices Lingua was integrated into an undergraduate English-Chinese translation course. In doing so, the study investigates how translation students' awareness of conditional knowledge and its…
Descriptors: Translation, Metacognition, Second Languages, Language Processing
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Koji Osawa – RELC Journal: A Journal of Language Teaching and Research, 2024
With the recent rapid technological advance, second language (L2) educators have increasingly incorporated technologies into writing pedagogy. Two of the major technologies to promote L2 writing are e-portfolios and automated written corrective feedback (AWCF). Notably, feedback-rich portfolios facilitate L2 learners' self-regulation and writing…
Descriptors: Artificial Intelligence, Computer Software, Writing Instruction, Writing Evaluation
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Viberg, Olga; Kukulska-Hulme, Agnes; Peeters, Ward – International Journal of Mobile and Blended Learning, 2023
Mobile-assisted language learning (MALL) research includes examination and development of second language learners' cognitive and metacognitive self-regulated learning skills, but the affective learning component of self-regulation in this context remains largely unexplored. Support for affective learning, which is defined by learners' beliefs,…
Descriptors: Metacognition, Computer Assisted Instruction, Second Language Learning, Second Language Instruction
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Kessler, Matt – Computer Assisted Language Learning, 2023
Mobile-assisted language learning (MALL) has witnessed an explosion of interest from consumers and researchers. However, consumers often complain about the limited functionality of MALL applications, which typically do not allow for critical self-reflection or for users to consider different aspects of their learning such as the task itself, the…
Descriptors: Computer Assisted Instruction, Teaching Methods, Second Language Learning, Second Language Instruction
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Elif Sari; Turgay Han – Journal of Computer Assisted Learning, 2024
Background: With the growing trend of integrating technology into teaching environments, using Automated Writing Evaluation (AWE) in writing instruction has been extensively studied over the last two decades. The studies on AWE mostly investigated its impact on students' writing proficiencies and revealed conflicting results. However, very few…
Descriptors: Writing Evaluation, Second Language Learning, Second Language Instruction, English (Second Language)
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Mingjie Zou; Binhai Ren – Journal for the Psychology of Language Learning, 2024
Flow, a subjective state of optimal engagement and immersion, is characterized by a balance of perceived challenges and skills, interest, attention, and a sense of control (Csikszentmihalyi, 1990). Investigating flow in language learning can provide valuable insights into effective learning processes and contexts (Egbert, 2003). Self-regulated…
Descriptors: Metacognition, Learning Strategies, English (Second Language), Second Language Learning
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Qian Xu; Jennifer C. Richardson – Online Learning, 2024
Scholars indicated that learners who are strategic with their language learning (e.g., selfregulated learning [SRL], cognitive and meta-cognitive strategies) tend to be more efficient, resourceful, and flexible, and thus have better language learning outcomes (Oxford, 2016; Heo et al., 2012; Plonsky, 2011). Besides focusing on the knowledge,…
Descriptors: Metacognition, Learning Strategies, Outcomes of Education, Vocabulary Development
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Hirata, Saki; Yamada, Masanori – International Association for Development of the Information Society, 2022
Vocabulary learning that overlooks the discrimination of single sounds in English language learning could lead to communication difficulties, such as the inability to hear and speak English pronunciation. To address this issue, vocalization strategy, in which students listen to the sounds of words and memorize them aloud, is considered a useful…
Descriptors: Vocabulary Development, Audio Equipment, Pronunciation, English (Second Language)
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Inan-Karagul, Banu; Seker, Meral – SAGE Open, 2021
The study aims to explore the impacts of an online training scheme developed for higher education learners that integrates self-regulated learning (SRL) writing strategies into screencast feedback in line with the cyclical model of SRL (i.e., forethought, performance, and reflection on performance phases). During each phase, cognitive,…
Descriptors: Foreign Countries, Metacognition, Writing Strategies, Writing Instruction
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