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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
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Elsayed Issa; Gus Hahn-Powell – Language Learning & Technology, 2025
This study investigates the effectiveness of a computer-assisted pronunciation training (CAPT) system on second language learners' acquisition of three grammatical features. It presents a CAPT system on top of a phoneme-based, fine-tuned speech recognition model, and is intended to deliver explicit, corrective feedback on the pronunciation of the…
Descriptors: Grammar, Computer Assisted Instruction, Arabic, Second Language Instruction
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Emily A. Hellmich; Kimberly Vinall – Language Learning & Technology, 2023
The use of machine translation (MT) tools remains controversial among language instructors, with limited integration into classroom practices. While much of the existing research into MT and language education has explored instructor perceptions, less is known about how students actually use MT or how student use compares to instructor beliefs and…
Descriptors: Translation, Second Language Learning, Second Language Instruction, Computational Linguistics
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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
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Rui Li – Language Learning & Technology, 2024
Despite the growing body of research regarding the effectiveness of MALL (mobile-assisted language learning) technologies on foreign language (FL) learners' speaking skill development, a comprehensively quantitative meta-analysis regarding the effect sizes of these studies is still lacking. To solve the problem, this study reported results based…
Descriptors: Oral Language, Skill Development, Speech Communication, Second Language Instruction
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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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Garci´a Laborda, Jesus; Ferna´ndez A´lvarez, Miguel – Language Learning & Technology, 2021
This paper compares and analyzes a selection of popular multilevel tests used for quick accreditation of English as a foreign language worldwide. The paper begins by stating the current need of accreditation of English language competence for both academic and professional matters. It then looks at their defining features and differences. After,…
Descriptors: Comparative Analysis, Second Language Learning, Second Language Instruction, Language Tests
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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
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Eun Seon Chung – Language Learning & Technology, 2024
While previous investigations on online machine translation (MT) in language learning have analyzed how second language (L2) learners use and post-edit MT output, no study as of yet has investigated how the learners process MT errors and what factors affect this process using response and reading times. The present study thus investigates L2…
Descriptors: English (Second Language), Korean, Language Processing, Translation
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Kent, David – Language Learning & Technology, 2021
Initial research, although limited, demonstrates promise for the use of a voice-user interface via a digital assistant (i.e., Google Assistant) for English language learners seeking language skill development. However, no research has sought to determine the adult English as a foreign language instructor response toward the application of such…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Language Teachers
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Suvorov, Ruslan; Gruba, Paul – Language Learning & Technology, 2023
Grounded in the three-tiered transdisciplinary SLA framework of the Douglas Fir Group (2016), we explore how the concept of 'semiotic resources' may be integrated into CALL activity designs. Starting at the macro level, we discuss how language ideology may influence where to situate semiotic resources within initial design considerations. We next…
Descriptors: Semiotics, Computer Assisted Instruction, Second Language Learning, Second Language Instruction
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Abrams, Zsuzsanna I. – Language Learning & Technology, 2019
Linking research on task-based collaborative L2 writing and computer-mediated writing, this study investigates the relationship between patterns of collaboration and the linguistic features of texts written during a computer-supported collaborative writing task using Google Docs. Qualitative analyses provide insights into the writing process of…
Descriptors: Collaborative Writing, Computer Software, Second Language Learning, Second Language Instruction
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Lodzikowski, Kacper – Language Learning & Technology, 2021
This is the first paper that provides correlational evidence about how interacting with an online allophonic transcription tool helps learners of English as a Second Language (ESL) to improve their phonological awareness. The study investigates 55 advanced ESL learners at a Polish university enrolled in a course in English phonetics and phonology.…
Descriptors: Correlation, Phonological Awareness, Scores, Second Language Learning
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Sydorenko, Tetyana; Jones, Zachary W.; Daurio, Phoebe; Thorne, Steven L. – Language Learning & Technology, 2020
Usage-based linguistics posits that communicative functions, including pragmatics, are at the core of language (Tomasello, 1992). It is surprising, then, that pragmatics is rarely systematically included in second language curricula (e.g., Bardovi-Harlig, 2017), especially since pragmatics instruction has been shown to significantly contribute to…
Descriptors: Teaching Methods, Pragmatics, Independent Study, Language Usage
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Li, Jinrong; Li, Mimi – Language Learning & Technology, 2018
Despite the benefits of peer review, there are still challenges that need to be addressed to make it more effective for L2 students. With the development of technology, computer-mediated peer review has captured increasing attention from L2 writing researchers and instructors. While Turnitin is known for its use in detecting plagiarism, its newly…
Descriptors: Peer Evaluation, Feedback (Response), English (Second Language), Second Language Instruction
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