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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
Hansol Lee; Jang Ho Lee – Language Learning & Technology, 2024
Artificial intelligence (AI) has considerably advanced the methods for individualizing language learning opportunities, such as assessing learning progress and recommending effective individual instruction. In the present study, we conducted a meta-analysis to synthesize recent empirical findings pertaining to the utilization of AI-guided language…
Descriptors: Artificial Intelligence, Teaching Methods, Learning Processes, Computer Software
Ruofei Zhang; Di Zou; Gary Cheng – Language Learning & Technology, 2023
Since 2000, technology-enhanced L2 listening development (TELD) has been increasingly investigated. However, systematic reviews concerning the technologies, learning tasks, and outcomes of TELD remain limited. To fill this gap, we conducted a systematic review of publications from 2000 to 2022 on TELD from the perspectives of technologies,…
Descriptors: Second Language Learning, Second Language Instruction, Listening Comprehension, Listening Skills
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
Poole, Frederick J.; Clarke-Midura, Jody – Language Learning & Technology, 2023
Research involving digital games and language learning is rapidly growing. One advantage of using digital games to support language learning is the ability to collect data on students learning in real time. In this study, we use educational data mining methods to explore the relationship between in-game data and elementary students' Chinese…
Descriptors: Computer Games, Second Language Learning, Second Language Instruction, Data Analysis
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
Ines A. Martin – Language Learning & Technology, 2023
This study investigated how learners' motivation to improve their pronunciation (i.e., pronunciation-focused motivation) influences their L2 pronunciation achievements. This relationship was explored separately in an online (n = 28) and a face-to-face (F2F) (n = 49) learning environment with beginner learners of German. In the online learning…
Descriptors: Pronunciation, Student Motivation, Second Language Learning, Online Courses
Dixon, Daniel H.; Dixon, Tulay; Jordan, Eric – Language Learning & Technology, 2022
Studies on digital game-based language learning (DGBLL) have increased in numbers, creating a pool of studies that can be meta-analyzed to measure the overall effect of digital gaming on second language (L2) development. The current meta-analysis targets digital games that were available to the public at the time of data collection, January of…
Descriptors: Second Language Learning, Game Based Learning, Video Games, Meta Analysis
Lyu, Boning; Lai, Chun – Language Learning & Technology, 2022
Language learners are actively engaging in language learning beyond the classroom. However, social networking sites, despite playing a major role in people's lives, have been found to be rarely incorporated into language learners' learning ecologies. An understanding of the factors that shape learners' engagement on instruction-oriented social…
Descriptors: Second Language Learning, Second Language Instruction, Social Media, Electronic 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
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