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Aleksandra Wach; Robertus de Louw; Mikolaj Buczak; Gert Loosen – Language Learning & Technology, 2025
Taking the interactionist perspective, this study investigates the use of communication strategies in Dutch as a lingua franca videoconferencing discussions within a telecollaboration project between Polish and Hungarian learners (N = 21). Specifically, the study explores the types and frequencies of the strategies used, the influence of the…
Descriptors: Indo European Languages, Language Usage, Videoconferencing, Foreign Countries
Robert Godwin-Jones – Language Learning & Technology, 2025
Less commonly taught languages (LCTLs) have traditionally lagged behind in terms of the availability of learning/teaching materials and of appropriate pedagogical models. For many languages, online tools, courses, and digital archives have been developed in recent years that offer opportunities for both formal instruction and self-study. Now the…
Descriptors: Technology Integration, Second Language Instruction, Language Minorities, Artificial Intelligence
Jesse Gleason; Resha Cardone; Andrew Bartlett – Language Learning & Technology, 2024
In the aftermath of the COVID-19 pandemic, we continue to take stock of student learning. Although the "crisis-context" (Gacs et al., 2020) move to fully online instruction may be over, a complete understanding of how student outcomes have been impacted remains. The present study focuses on how students' Spanish language proficiency, as…
Descriptors: COVID-19, Pandemics, Language Tests, Spanish
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
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
Wen Jia; Liping Zhang; Austin Pack; Yi Guan; Bin Zou – Language Learning & Technology, 2024
Although digital game-based vocabulary learning (DGBVL) has received increasing attention in the past two decades, the impacts of DGBVL on the depth of word knowledge are still not well understood, especially in regard to productive vocabulary learning and DGBVL's long-term efficacy. This study leverages a quasiexperimental research design to…
Descriptors: Game Based Learning, Video Games, Vocabulary Development, Receptive Language
Akiyo Hirai; Angelina Kovalyova – Language Learning & Technology, 2024
Speech-to-text applications have great potential for helping students with English language comprehension and pronunciation practice. This study explores the functionality of five speech-to-text (STT) applications (Google Docs voice typing tool, Apple Dictation, Windows 10 Dictation, Dictation.io [a website service], and "Transcribe" [an…
Descriptors: Assistive Technology, English Language Learners, English (Second Language), Articulation (Speech)
Taegang Lee; Yoonhyoung Lee; Sungmook Choi – Language Learning & Technology, 2025
Empirical evidence remains sparse about how videos enhanced with first-language (L1) and second-language (L2) subtitles influence cognitive load in L2 learners. To address this point, 25 Korean undergraduate students were exposed to six short videos: baseline, L1-subtitled, and L2-subtitled videos at both high and low difficulty levels (determined…
Descriptors: Captions, Native Language, Second Language Learning, Language Processing
Heather Lotherington; Noah Bradley – Language Learning & Technology, 2024
This article presents a study on novel language forms and uses across evolving digital environments, and questions whether emerging digital communication conventions should have a place in language education. The study was motivated by the deepening gap between the content of and approaches to language instruction evident in popular…
Descriptors: Computer Mediated Communication, Language Research, Digital Literacy, Content Analysis
Hoa T. Vinh Le; Nicole Ziegler – Language Learning & Technology, 2025
Numerous empirical studies and syntheses have explored technology-mediated task-based language teaching (TMTBLT) (for example, Chong & Reinders, 2020; Kim & Namkung, 2024; Lai & Li, 2011; Ziegler, 2016), with findings highlighting the affordances of technology for interaction and its associated benefits. However, few studies have…
Descriptors: Blended Learning, Teaching Methods, Task Analysis, Second Language Learning
Fengkai Liu; Yishi Jiang; Chun Lai; Tan Jin – Language Learning & Technology, 2024
Differentiated instruction is much demanded yet quite challenging in face of the growing student diversity in today's K-12 classrooms. One major challenge is the provision of differentiated materials to students. Automated text simplification (ATS) tools fueled by natural language processing may serve as a useful assistant for teachers. However,…
Descriptors: Automation, Individualized Instruction, Natural Language Processing, Technology Uses in Education
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
Geòrgia Pujadas; Stuart Webb – Language Learning & Technology, 2025
This study investigated second language (L2) comprehension across nine episodes of the same TV series and explored whether comprehension improves through regular classroom viewing. 121 intermediate and advanced EFL learners viewed the series under two conditions: captioned and uncaptioned. Significant differences in comprehension across episodes…
Descriptors: Second Language Learning, Comprehension, English (Second Language), Television Viewing
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
Louisa Willoughby; Cathy Sell – Language Learning & Technology, 2024
Recent years have seen an explosion in video content available online. Yet there is relatively scant research on if, how, and why second language (L2) learners engage with videos in their target language as part of their self-directed study--especially for languages with a smaller media footprint. This paper presents qualitative findings from a…
Descriptors: Second Language Learning, Second Language Instruction, Independent Study, Electronic Learning