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Yuchen Peng; Yuhong Lei – Language Learning & Technology, 2025
Multimodal synchronous-computer-mediated communication (SCMC) provides many possibilities for improving language learners' pragmatic competence (Maa & Taguchi, 2022). However, the research exploring how SCMC mode affects the pragmatic learning process and its outcome is limited. This study investigates the effects of SCMC modes on pragmatic…
Descriptors: Computer Mediated Communication, Synchronous Communication, Learning Processes, English (Second Language)
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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
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Marwa Hafour – Language Learning & Technology, 2025
Mobile apps are becoming part and parcel of our daily lives. Hence, this study examined the differential effects of app modes on listening comprehension and recognition. From a pool of Egyptian EFL sophomores, 107 students were randomly assigned into 3 groups practicing mobile-assisted listening in 3 modalities: Unimodal (n = 35), Bimodal (n =…
Descriptors: Foreign Countries, Multilingualism, English (Second Language), Second Language Learning
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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
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Shu Zhou; Gerhardus D. Du Preez – Language Learning & Technology, 2025
This study examines the potential of ChatGPT to enhance grammar development in an academic writing context, where grammar instruction is often overlooked. Adopting a qualitative case study, this research explores how a localized version of ChatGPT can assist first-year undergraduate students in improving their grammar in writing tasks. The study…
Descriptors: Grammar, Writing Instruction, Artificial Intelligence, Computer Software
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Weijiao Huang; Chengyuan Jia; Khe Foon Hew; Jia Guo – Language Learning & Technology, 2024
Aural decoding skill is an important contributor to successful EFL listening comprehension. This paper first described a preliminary study involving a 12-week undergraduate flipped decoding course, based on the flipped SEF-ARCS decoding model. Although the decoding model (N = 44) was significantly more effective in supporting students' decoding…
Descriptors: Artificial Intelligence, English (Second Language), Second Language Learning, Listening Comprehension
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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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Hetrovicz, Lauren – Language Learning & Technology, 2023
This study examines online interaction through the lens of language-related episodes (LREs), sites where learning is likely to occur given that the speaker is pushed to consciously reflect on and negotiate their language knowledge and use (Swain & Lapkin, 1998). The aim of this research is to inform pedagogical practices by investigating the…
Descriptors: Videoconferencing, Second Language Learning, Second Language Instruction, Spanish
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Martin, Ines A. – Language Learning & Technology, 2020
The goal of this study was to explore how distance language learners' pronunciation skills develop with and without targeted pronunciation training during their first semester of university language instruction. To this end, a new computer-assisted method of pronunciation instruction was designed, and its effectiveness, as well as learners'…
Descriptors: Pronunciation, Distance Education, Second Language Instruction, Teaching Methods
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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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Dizon, Gilbert – Language Learning & Technology, 2020
While the use of intelligent personal assistants (IPAs) has exploded in recent years, little is known about their use to promote English as a foreign language (EFL) development. Thus, this study addresses this gap in the literature by examining the in-class use of the IPA, Alexa, among second language (L2) English students to support improvements…
Descriptors: Intelligent Tutoring Systems, Educational Technology, English (Second Language), Second Language Instruction
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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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Chen, Zhenzhen; Chen, Weichao; Jia, Jiyou; Le, Huixiao – Language Learning & Technology, 2022
Despite the growing interest in investigating the pedagogical application of Automated Writing Evaluation (AWE) systems, studies on the process of AWE-supported writing are still scant. Adopting activity theory as the framework, this qualitative study aims to examine how students incorporated AWE feedback into their writing in an English as a…
Descriptors: Writing Instruction, Writing Processes, Teaching Methods, Learning Strategies
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Shi, Zhan; Liu, Fengkai; Lai, Chun; Jin, Tan – Language Learning & Technology, 2022
Automated Writing Evaluation (AWE) systems have been found to enhance the accuracy, readability, and cohesion of writing responses (Stevenson & Phakiti, 2019). Previous research indicates that individual learners may have difficulty utilizing content-based AWE feedback and collaborative processing of feedback might help to cope with this…
Descriptors: Writing Instruction, Writing Evaluation, Feedback (Response), Accuracy
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Liu, Sha; Yu, Guoxing – Language Learning & Technology, 2022
This study used eye-tracking, in combination with stimulated recalls and reflective journals, to investigate L2 learners' engagement with automated feedback and the impact of feedback explicitness and accuracy on their engagement. Twenty-four Chinese EFL learners revised their writing through Write & Improve with Cambridge, a new automated…
Descriptors: Eye Movements, Second Language Learning, Second Language Instruction, Feedback (Response)
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