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Ji-young Shin; Yujeong Choi – Language Learning & Technology, 2025
The use of AI-powered chatbots has recently been extensively examined for second language (L2) learning. While their positive effects have been widely reported regarding L2 English learning, studies involving less commonly taught languages (LCTLs) are scant. The current study incorporated an AI chatbot called Iruda in L2 Korean teaching, to…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Korean
Solbee Kim – ProQuest LLC, 2024
Since the release of advanced Large Language Models (LLMs) like ChatGPT in the winter of 2022, educators have been challenged to integrate AI in educational contexts without adequate preparation. This multimethod study aims to provide valuable insights into how students and teachers can make effective, responsible use of AI tools for writing.…
Descriptors: Artificial Intelligence, Writing (Composition), Technology Uses in Education, Computer Software
Behnam Behforouz; Ali Al Ghaithi – Educational Process: International Journal, 2024
Background/purpose: The present quantitative study investigated the effectiveness of utilizing ChatGPT as an instructional tool to enhance the learners' grammatical proficiency. Materials/methods: The study involved 60 Omani intermediate EFL learners randomly divided into three groups with 20 learners. The control group received traditional…
Descriptors: English (Second Language), Second Language Learning, Artificial Intelligence, Computer Software
Tavares, Nicole Judith – RELC Journal: A Journal of Language Teaching and Research, 2023
Perusall, a web-based collaborative reading platform characterised by its social annotation functionalities, was introduced in a postgraduate teacher-training language-awareness course in Hong Kong during the shift to online teaching and learning brought about by the global COVID-19 pandemic. Tasks were designed on Perusall to engage the…
Descriptors: Language Teachers, Teacher Empowerment, Textbook Content, Content Analysis
Ranalli, Jim; Yamashita, Taichi – Language Learning & Technology, 2022
To the extent automated written corrective feedback (AWCF) tools such as Grammarly are based on sophisticated error-correction technologies, such as machine-learning techniques, they have the potential to find and correct more common L2 error types than simpler spelling and grammar checkers such as the one included in Microsoft Word (technically…
Descriptors: Error Correction, Feedback (Response), Computer Software, Second Language Learning
Andujar, Alberto – ReCALL, 2020
The present investigation analyses the potential of a pedagogical dynamic assessment (DA) approach to foster second language (L2) development through the use of a mobile instant messaging application. Students' zone of actual and proximal development is observed through the use of a grammar and vocabulary level test and the use of the WhatsApp…
Descriptors: Second Language Learning, Second Language Instruction, Teaching Methods, English (Second Language)
Santiago Berrezueta Ed. – Lecture Notes in Educational Technology, 2023
The proceedings of the 18th edition of Latin American Conference on Learning Technologies (LACLO) demonstrates the developments in the research of learning science, learning resources, challenges and solutions. This Proceedings book showcases a collection of quality articles that explores and discusses trending topics in education in the upcoming…
Descriptors: Educational Technology, Active Learning, Design, Telecommunications
Ebadi, Saman; Rahimi, Masoud – Computer Assisted Language Learning, 2019
Drawing on Vygotskian sociocultural theory of mind and social constructivism, and adopting a sequential exploratory mixed-methods approach, this study explored the impact of online dynamic assessment (DA) on EFL learners' academic writing skills through one-on-one individual and online synchronous DA sessions over Google Docs. It also investigated…
Descriptors: English (Second Language), Language Tests, Second Language Learning, Sociocultural Patterns
Shintani, Natsuko; Aubrey, Scott – Modern Language Journal, 2016
This study extends research on written corrective feedback (CF) by investigating how timing of CF affects grammar acquisition. Specifically, it examined the relative effects of synchronous and asynchronous CF on the accurate use of the hypothetical conditional structure. Participants were 68 intermediate-level students of English at a university…
Descriptors: Error Correction, Feedback (Response), English (Second Language), Second Language Learning

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