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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
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
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
Dongkawang Shin; Yuah V. Chon – Language Learning & Technology, 2023
Considering noticeable improvements in the accuracy of Google Translate recently, the aim of this study was to examine second language (L2) learners' ability to use post-editing (PE) strategies when applying AI tools such as the neural machine translator (MT) to solve their lexical and grammatical problems during L2 writing. This study examined 57…
Descriptors: Second Language Learning, Second Language Instruction, Translation, Computer Software
Ranalli, Jim; Yamashita, Taichi – Language Learning & Technology, 2022
To the extent automated written corrective feedback (AWCF) tools such as Grammarly are based on sophisticated error-correction technologies, such as machine-learning techniques, they have the potential to find and correct more common L2 error types than simpler spelling and grammar checkers such as the one included in Microsoft Word (technically…
Descriptors: Error Correction, Feedback (Response), Computer Software, Second Language Learning
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
Aldukhayel, Dukhayel – Language Learning & Technology, 2021
This study investigated the effects of captions on the listening comprehension of vlogs. A total of 96 EFL learners watched three vlogs under one of three conditions: L2 captions, L1 captions, and no captions. Each group included low-, mid-, and high-level proficiency learners. The vlogs differed in the pictorial support of the audio, with Vlog 1…
Descriptors: Visual Aids, Second Language Learning, Second Language Instruction, English (Second Language)
Sydorenko, Tetyana; Jones, Zachary W.; Daurio, Phoebe; Thorne, Steven L. – Language Learning & Technology, 2020
Usage-based linguistics posits that communicative functions, including pragmatics, are at the core of language (Tomasello, 1992). It is surprising, then, that pragmatics is rarely systematically included in second language curricula (e.g., Bardovi-Harlig, 2017), especially since pragmatics instruction has been shown to significantly contribute to…
Descriptors: Teaching Methods, Pragmatics, Independent Study, Language Usage
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
Koyama, Dennis; Sun, Angela; Ockey, Gary J. – Language Learning & Technology, 2016
Multiple-choice formats remain a popular design for assessing listening comprehension, yet no consensus has been reached on how multiple-choice formats should be employed. Some researchers argue that test takers must be provided with a preview of the items prior to the input (Buck, 1995; Sherman, 1997); others argue that a preview may decrease the…
Descriptors: Multiple Choice Tests, Listening Comprehension Tests, Statistical Analysis, Language Proficiency