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Henderson, Alice J.; Skarnitzl, Radek – Language Learning & Technology, 2022
This paper presents the results of a brief mixed-methods intervention which sought to modify the production of prominence-related features in L2 English by four native French-speaking university lecturers, in read-aloud speech. Selected parts of participants' productions were acoustically modified and then used as the model in a Listen-and-Repeat…
Descriptors: Acoustics, Models, Native Language, French
Yeh, Hui-Chin; Tseng, Sheng-Shiang – Language Learning & Technology, 2020
Augmented reality (AR) technology has been used to successfully improve traditional literacy. However, there has been a paradigm shift in literacy education from traditional literacy to multimodal literacy. Little research has explored how students establish effective multimodal meaning-making using AR technology. This study is an investigation of…
Descriptors: Computer Simulation, Learning Modalities, English (Second Language), Second Language Learning
Garci´a Laborda, Jesus; Ferna´ndez A´lvarez, Miguel – Language Learning & Technology, 2021
This paper compares and analyzes a selection of popular multilevel tests used for quick accreditation of English as a foreign language worldwide. The paper begins by stating the current need of accreditation of English language competence for both academic and professional matters. It then looks at their defining features and differences. After,…
Descriptors: Comparative Analysis, Second Language Learning, Second Language Instruction, Language Tests
Chunping Zheng; Xu Chen; Huayang Zhang; Ching Sing Chai – Language Learning & Technology, 2024
This quasi-experimental research investigates the employment of a formative assessment platform aided by artificial intelligence in an English public speaking course. The platform integrates deep learning, automatic speech recognition, and automatic writing evaluation. It provides automated assessment and immediate feedback on speakers' public…
Descriptors: Peer Evaluation, Comparative Analysis, Feedback (Response), Self Evaluation (Individuals)
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
Michael Li – Language Learning & Technology, 2023
The acquisition of Chinese characters has been widely acknowledged as challenging for learners of Chinese as a foreign language (CFL) due to their unique logographic nature and the time and effort involved. However, recent advancements in instructional technologies demonstrate a promising role in facilitating the teaching and learning of Chinese…
Descriptors: Orthographic Symbols, Technology Uses in Education, Teaching Methods, Research Reports
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
Qin, Tianyu; van Compernolle, Rémi A. – Language Learning & Technology, 2021
The focus of this article is on the design and administration of an online computerized dynamic assessment of an important area of pragmatics: implicature comprehension (i.e., indirect meaning). The assessment centered on indirect acceptances, refusals, and opinions. Drawing on Vygotskian psychology, this assessment had a dual aim: (a) to evaluate…
Descriptors: Teaching Methods, Second Language Learning, Second Language Instruction, Chinese
Yiran Wen; Jian Li; Hongkang Xu; Hanwen Hu – Language Learning & Technology, 2023
The problem of cognitive overload is particularly pertinent in multimedia L2 classroom corrective feedback (CF), which involves rich communicative tools to help the class to notice the mismatch between the target input and learners' pronunciation. Based on multimedia design principles, this study developed a new multimodal CF model through…
Descriptors: Error Correction, Videoconferencing, Second Language Learning, Second Language Instruction
Bronson Hui; Björn Rudzewitz; Detmar Meurers – Language Learning & Technology, 2023
Interactive digital tools increasingly used for language learning can provide detailed system logs (e.g., number of attempts, responses submitted), and thereby a window into the user's learning processes. To date, SLA researchers have made little use of such data to understand the relationships between learning conditions, processes, and outcomes.…
Descriptors: Computer Assisted Instruction, Second Language Learning, Second Language Instruction, Learning Processes
Kao, Chian-Wen; Reynolds, Barry Lee – Language Learning & Technology, 2020
This study scrutinizes the range and types of feedback given for word choice errors occurring in the English Taiwan Learner Corpus (ETLC), which contains Taiwanese high school students' English writings and the corrective feedback provided by L2 writing teachers. All instances of word choice error tags (n = 1,439) were extracted from the ETLC for…
Descriptors: High School Teachers, Writing Teachers, Writing Instruction, Writing Evaluation
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
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
Burr, Solvita – Language Learning & Technology, 2023
This paper describes one 4-week long online language learning module which utilizes the animated documentary film "My Favorite War" (Burkovska-Jakobsen, 2020) and analyzes four students' final essays. The learning module was created considering ethnographic views of cultural inferences (Spradley, 2016), the framework of social space…
Descriptors: Second Language Learning, Second Language Instruction, Multiple Literacies, Indo European Languages
Andrea Révész; Matthew Stainer; Jookyoung Jung; Minjin Lee; Marije Michel – Language Learning & Technology, 2023
Eye-tracking is primarily used as a tool to capture attentional processes in second language (L2) research. However, it is feasible to design visual displays that can react to and interact with eye-movements in technology-mediated contexts. We explored whether gaze-contingency can foster L2 development by drawing attention to novel words…
Descriptors: Eye Movements, Second Language Learning, Second Language Instruction, Attention Control