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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
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
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
Jin, Tan; Su, Yanfang; Lei, Jun – Language Learning & Technology, 2020
The importance of argumentative writing has long been recognized. However, many foreign language learners struggle to make effective argumentation and use appropriate language in argumentative writing. In this study, we proposed a blended learning design to address students' problems with argumentation and language use in argumentative writing…
Descriptors: Blended Learning, Persuasive Discourse, Collaborative Writing, Electronic Learning
Yamashita, Taichi – Language Learning & Technology, 2021
This study investigated the effects of corrective feedback (CF) during in-class computer-mediated collaborative writing on grammatical accuracy in a new piece of individual writing. Forty-eight ESL students at an American university worked on two computer-mediated animation description tasks in pairs. The experimental group received indirect CF on…
Descriptors: Error Correction, Feedback (Response), Computer Mediated Communication, Synchronous Communication
Chi, Pham Kim; Loi, Nguyen Van – Language Learning & Technology, 2020
Online English language teaching can now be facilitated by communication technology, which allows easy access to interaction with native speakers. Nevertheless, this industry subscribes to an assumption that native speaker English teachers (NESTs) are the gold standard of language whereas the non-native speaker English teachers (NNESTs) are…
Descriptors: Electronic Learning, Computer Mediated Communication, Synchronous Communication, Dialogs (Language)
Kim, Heyoung; Lee, Jang Ho – Language Learning & Technology, 2022
This article introduces the structure and content of an online learning platform called "SMART Teacher Lab" (STL, henceforth) implemented at the authors' university since 2014. "STL" is an online platform specifically built for the professional development of pre- and in-service English as a Foreign Language (EFL) teachers,…
Descriptors: Language Teachers, Faculty Development, Second Language Learning, Second Language Instruction
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
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
Chong, Sin Wang; Reinders, Hayo – Language Learning & Technology, 2020
In the past 10 to 15 years, researchers have begun to explore the possibility of synthesizing research on task-based language teaching (TBLT) and computer-assisted language learning (CALL) in the interests of advancing the development of both fields as well as informing practice. In particular, there has been an increasing number of naturalistic,…
Descriptors: Teaching Methods, Second Language Learning, Second Language Instruction, Task Analysis
Rakhun Kim – Language Learning & Technology, 2024
This study investigated the instructional effects of learner uptake following automatic corrective recast from artificial intelligence (AI) chatbots on the learning of the English caused-motion construction. 69 novice-level EFL learners in a Korean high school were recruited to investigate the instructional effects of corrective recast from AI…
Descriptors: Artificial Intelligence, Error Correction, Second Language Learning, Second Language Instruction
Dzekoe, Richmond – Language Learning & Technology, 2017
This study investigated how 22 advanced-low proficiency ESL students used computer-based multimodal composing activities (CBMCAs) to facilitate self-revision and learn English through academic writing in the USA. The CBMCAs involved a combination of writing, listening, visual analysis, and speaking activities. The research was framed within an…
Descriptors: Undergraduate Students, Second Language Learning, English Language Learners, Writing (Composition)
Feng, Hui-Hsien; Chukharev-Hudilainen, Evgeny – Language Learning & Technology, 2022
Automated writing evaluation (AWE) systems have been introduced to ESL/EFL classes in the hopes of reducing teachers' workloads and improving students' writing by providing instant holistic scores and corrective feedback (Jiang & Yu, 2020; Link et al., 2014; Ranalli & Yamashita, 2019; Warschauer & Ware, 2006). When it comes to…
Descriptors: Engineering Education, Graduate Students, Writing (Composition), English (Second Language)
Gass, Susan; Winke, Paula; Isbell, Daniel R.; Ahn, Jieun – Language Learning & Technology, 2019
Captions provide a useful aid to language learners for comprehending videos and learning new vocabulary, aligning with theories of multimedia learning. Multimedia learning predicts that a learner's working memory (WM) influences the usefulness of captions. In this study, we present two eye-tracking experiments investigating the role of WM in…
Descriptors: Eye Movements, Short Term Memory, Multimedia Instruction, Teaching Methods
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