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Showing 1 to 15 of 72 results Save | Export
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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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Green, Clarence – Language Learning & Technology, 2022
This paper computes estimates of the potential for Extensive Reading (ER) and Extensive Viewing (EV) to support the academic and discipline-specific vocabulary needs of students. While research into ER/EV for general vocabulary is well-established, only recently has academic vocabulary begun to be researched. Given curriculum time constraints,…
Descriptors: Linguistic Input, Vocabulary Development, Academic Language, Incidental Learning
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Pengchong Zhang; Shi Zhang – Language Learning & Technology, 2025
Multimodal input can significantly support second language (L2) vocabulary learning and comprehension. However, very little research has examined how L2 learners, especially young learners, allocate attention when exposed to such input and whether learning from multimodal input can be explained by attention allocation. This study therefore…
Descriptors: Attention, Eye Movements, Vocabulary Development, Reading Comprehension
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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
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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
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Godwin-Jones, Robert – Language Learning & Technology, 2022
In recent years, advances in artificial intelligence (AI) have led to significantly improved, or in some cases, completely new digital tools for writing. Systems for writing assessment and assistance based on automated writing evaluation (AWE) have been available for some time. That is the case for machine translation as well. More recent are…
Descriptors: Writing Instruction, Artificial Intelligence, Feedback (Response), Writing Evaluation
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Fievez, Isabeau; Perez, Maribel Montero; Cornillie, Frederik; Desmet, Piet – Language Learning & Technology, 2023
This study investigates how learners use a freely available web-based multimodal language learning environment based on videos and newspaper articles with corresponding exercises and learning support in the form of help options, "NedBox," for learning L2 Dutch. In order to measure learners' use, a combination of eye movement and screen…
Descriptors: Eye Movements, Computer Assisted Instruction, Second Language Learning, Second Language Instruction
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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
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Boulton, Alex; Vyatkina, Nina – Language Learning & Technology, 2021
The tools and techniques of corpus linguistics have many uses in language pedagogy, most directly with language teachers and learners searching and using corpora themselves. This is often associated with work by Tim Johns who used the term Data-Driven Learning (DDL) back in 1990. This paper examines the growing body of empirical research in DDL…
Descriptors: Data Use, Computer Assisted Instruction, Second Language Learning, Second Language Instruction
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Scheffler, Pawel; Baranowska, Karolina – Language Learning & Technology, 2023
While there is ample research on the effect of exposure to foreign language (FL) video materials on developing vocabulary knowledge and listening skills, research on the impact of watching videos on acquiring pronunciation skills, especially in terms of both perception and production, is still in its infancy. This study investigates the effect of…
Descriptors: Second Language Learning, Second Language Instruction, Learning Processes, Pronunciation
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Ackerley, Katherine – Language Learning & Technology, 2017
This study analyses the effects of data-driven learning (DDL) on the phraseology used by 223 English students at an Italian university. The students studied the genre of opinion survey reports through paper-based and hands-on exploration of a reference corpus. They then wrote their own report and a learner corpus of these texts was compiled. A…
Descriptors: Phrase Structure, Computational Linguistics, English (Second Language), Second Language Learning
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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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Zhang, Hong; Torres-Hostench, Olga – Language Learning & Technology, 2022
The main purpose of this study is to evaluate the effectiveness of Machine Translation Post-Editing (MTPE) training for FL students. Our hypothesis was that with specific MTPE training, students will able to detect and correct machine translation mistakes in their FL. Training materials were developed to detect six typical mistakes from Machine…
Descriptors: Computational Linguistics, Translation, Second Language Learning, Second Language Instruction
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Qian, Manman; Chukharev-Hudilainen, Evgeny; Levis, John – Language Learning & Technology, 2018
Many types of L2 phonological perception are often difficult to acquire without instruction. These difficulties with perception may also be related to intelligibility in production. Instruction on perception contrasts is more likely to be successful with the use of phonetically variable input made available through computer-assisted pronunciation…
Descriptors: Second Language Learning, Phonology, Auditory Perception, Second Language Instruction
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Lee, Helen; Hampel, Regine – Language Learning & Technology, 2023
The theorization of how multimodal learning intersects with online teaching environments has emerged as a key research area in relationship to the creation of opportunities for L2 online interaction. However, there are few studies which have examined how cross-cultural dyads harness and orchestrate semiotic resources across mobile technologies…
Descriptors: Semiotics, Handheld Devices, Second Language Learning, Second Language Instruction
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