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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
Safaa M. Abdelhalim; Raniya Abdullah Alsehibany – Language Learning & Technology, 2025
Grounded in Vygotsky's sociocultural theory, this study examines the effectiveness of integrating ChatGPT into classroom instruction to enhance vocabulary learning. It evaluates ChatGPT's impact on vocabulary knowledge and retention compared to traditional teacher-led instruction. Using a quasi-experimental pre- and posttest control group design…
Descriptors: Artificial Intelligence, Technology Uses in Education, Vocabulary Development, Second Language Instruction
Dan Song; Alexander F. Tang – Language Learning & Technology, 2025
While many studies have addressed the benefits of technology-assisted L2 writing, limited research has delved into how generative artificial intelligence (GAI) supports students in completing their writing tasks in Mandarin Chinese. In this study, 26 university-level Mandarin Chinese foreign language students completed two writing tasks on two…
Descriptors: Artificial Intelligence, Second Language Learning, Standardized Tests, Writing Tests
Juhee Lee – Language Learning & Technology, 2025
This study investigates how intelligent personal assistants (IPAs, e.g., Google Assistant), AI language learning applications, and peer interactions shape the learning experiences of 201 seventh-grade Korean EFL students. The students participated in a 12-week intervention and were categorized into four groups: Google Assistant, AI app, peer…
Descriptors: English (Second Language), Adolescents, Second Language Learning, Artificial Intelligence
Shu Zhou; Gerhardus D. Du Preez – Language Learning & Technology, 2025
This study examines the potential of ChatGPT to enhance grammar development in an academic writing context, where grammar instruction is often overlooked. Adopting a qualitative case study, this research explores how a localized version of ChatGPT can assist first-year undergraduate students in improving their grammar in writing tasks. The study…
Descriptors: Grammar, Writing Instruction, Artificial Intelligence, Computer Software
Weijiao Huang; Chengyuan Jia; Khe Foon Hew; Jia Guo – Language Learning & Technology, 2024
Aural decoding skill is an important contributor to successful EFL listening comprehension. This paper first described a preliminary study involving a 12-week undergraduate flipped decoding course, based on the flipped SEF-ARCS decoding model. Although the decoding model (N = 44) was significantly more effective in supporting students' decoding…
Descriptors: Artificial Intelligence, English (Second Language), Second Language Learning, Listening Comprehension
Mei-Rong Alice Chen – Language Learning & Technology, 2024
This study explores the impact of an innovative approach that combines artificial intelligence (AI) chatbot support with collaborative note-taking (CNT) in the comprehension of semantic terms among English as a Foreign Language (EFL) learners. Given the significance of semantics in English language learning, traditional didactic methods often…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Semantics
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)
Dongkawang Shin; Yuah V. Chon – Language Learning & Technology, 2023
Considering noticeable improvements in the accuracy of Google Translate recently, the aim of this study was to examine second language (L2) learners' ability to use post-editing (PE) strategies when applying AI tools such as the neural machine translator (MT) to solve their lexical and grammatical problems during L2 writing. This study examined 57…
Descriptors: Second Language Learning, Second Language Instruction, Translation, Computer Software

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