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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
Jonathan Serfaty; Raquel Serrano – Language Learning & Technology, 2024
Digital flashcard apps allow students to learn and practice foreign language vocabulary independently and efficiently, leaving more classroom time for communicative activities. However, words learned this way may be forgotten. Previous lab studies have shown that vocabulary retrieval practice can be optimized for long-term memory by employing…
Descriptors: Computer Assisted Testing, Computer Software, Vocabulary Development, Secondary School Students
Ruofei Zhang; Gary Cheng; Di Zou – Language Learning & Technology, 2025
Digital game-based vocabulary learning (DGBVL) integrates key game elements such as Challenges, Rewards, Human-Computer Interactions (HCI), Multimedia, and Fantasy. Although the overall effectiveness of digital games in enhancing English-as-a-foreign-language (EFL) vocabulary knowledge development is well-established, the specific roles of…
Descriptors: Vocabulary Development, Computer Games, English (Second Language), Learner Engagement
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
María de los Ángeles Gómez González; Alfonso Lago Ferreiro – Language Learning & Technology, 2024
Previous research has established that phonetics has been marginalized within language teaching, proving to be particularly challenging for learners in EFL contexts. This paper presents EPSSML (https://www.usc.gal/multimlab/), an e-learning platform designed within Mayer's (2008, 2009) Cognitive Theory of Multimedia Learning to instruct English…
Descriptors: Computer Assisted Instruction, Pronunciation, Electronic Learning, Phonetics
Chen, Hsin-I; Sevilla-Pavón, Ana – Language Learning & Technology, 2023
This study examines how English-as-lingua-franca (ELF) learners employ semiotic resources, including head movements, gestures, facial expression, body posture, and spatial juxtaposition, to negotiate for meaning in an immersive virtual reality (VR) environment. Ten ELF learners participated in a TaiwanSpain VR virtual exchange project and…
Descriptors: Computer Mediated Communication, Computer Simulation, English (Second Language), Second Language Learning
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
Zhang, Rui – Language Learning & Technology, 2020
It is widely accepted that effective blended learning initiates students into constructivist learning experiences by integrating face-to-face approaches with online technology. The Community of Inquiry (CoI) framework combines teaching, social, and cognitive presences to explore students' blended learning experiences from the perspectives of…
Descriptors: Blended Learning, Active Learning, Inquiry, English for Special Purposes
Chen, Xieling; Zou, Di; Xie, Haoran; Su, Fan – Language Learning & Technology, 2021
The advance of educational technologies and digital devices have made computer-assisted language learning (CALL) an active interdisciplinary field with increasing research potential and topic diversity. Questions like "what topics and technologies attract the interest of the CALL community?," "how have these topics and technologies…
Descriptors: Second Language Learning, Second Language Instruction, Computer Assisted Instruction, Educational Research
Breno Silva; Valentina Ragni; Agnieszka Otwinowska; Agnieszka Szarkowska – Language Learning & Technology, 2024
Existing research shows that identical cognates are read more quickly than noncognates. However, most studies focused on words presented in isolation or embedded in sentences. To address this gap, our exploratory eye-tracking study is the first to investigate the processing of cognates and noncognates in English subtitles. First, we tested whether…
Descriptors: English Language Learners, English (Second Language), Second Language Learning, Eye Movements
Bronson Hui; Björn Rudzewitz; Detmar Meurers – Language Learning & Technology, 2023
Interactive digital tools increasingly used for language learning can provide detailed system logs (e.g., number of attempts, responses submitted), and thereby a window into the user's learning processes. To date, SLA researchers have made little use of such data to understand the relationships between learning conditions, processes, and outcomes.…
Descriptors: Computer Assisted Instruction, Second Language Learning, Second Language Instruction, Learning Processes
Yeh, Hui-Chin; Tseng, Sheng-Shiang – Language Learning & Technology, 2020
Augmented reality (AR) technology has been used to successfully improve traditional literacy. However, there has been a paradigm shift in literacy education from traditional literacy to multimodal literacy. Little research has explored how students establish effective multimodal meaning-making using AR technology. This study is an investigation of…
Descriptors: Computer Simulation, Learning Modalities, English (Second Language), Second Language Learning
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
Tetyana Sydorenko; Mónica S. Cárdenas-Claros; Elizabeth Huntley; Maribel Montero Perez – Language Learning & Technology, 2024
A substantial body of research shows that various types of audiovisual (AV) input such as videos and videos with second language (L2) subtitles can facilitate language learning. However, language teachers' day-to-day practices with regard to multimodal input is less understood. To bridge the gap in language education, this study investigates…
Descriptors: Audiovisual Aids, Teacher Attitudes, Video Technology, Second Language Learning
Muntaha Muntaha; Julian Chen; Toni Dobinson – Language Learning & Technology, 2024
Technological advancement has enabled language learners to employ verbal and nonverbal cues in computer-mediated communication (CMC). These cues can support language use for learners wishing to communicate more effectively in English. Interactive alignment is one phenomenon that shows how humans tend to collaborate in their language use by…
Descriptors: Social Media, Technology Uses in Education, Computer Mediated Communication, Experiential Learning