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Venus Chan – Journal of Computer Assisted Learning, 2025
Background: Technology advancement changes not only interpreting practices but also its pedagogy, which has long been criticised for lacking authenticity in/out-of-classroom practices. Objective: This empirical research aims to develop a mobile-assisted language learning application powered by extended reality (XR). Shortened as 'XR MALL', this…
Descriptors: Computer Simulation, Computer Assisted Instruction, Second Language Learning, Translation
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Taguchi, Naoko; Chen, Ying; Qin, Yuqing – Applied Linguistics, 2023
This study explored the relationship between metapragmatic knowledge and transfer of learning from one speech act to another. Using a digital application, 105 Chinese learners of English received implicit instruction on how to formulate a high-imposition request to someone in a higher social status and larger social distance. Immediately after the…
Descriptors: Pragmatics, Speech Acts, Transfer of Training, Metalinguistics
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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
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Okim Kang; Maria Kostromitina; Xun Yan; Ron I. Thomson; Talia Isaacs – Language Assessment Quarterly, 2025
There has been much debate in assessment research about the inclusion of Global English accents in high-stakes listening tests. This study explored test-takers' attitudes toward the inclusion of different English accents in the Duolingo English Test (DET) 2021 test version and their associations with listening test scores. One hundred sixty…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computer Software
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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
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Kalyaniwala, Carmenne; Ciekanski, Maud – Language Learning & Technology, 2021
While research on language learner autonomy and Computer-Assisted Language Learning (CALL) is abundant, few studies have sought to systematically explore the relationship between the two. By adopting a rigorous approach that identifies transparent inclusion and exclusion criteria, this paper presents a systematic review that seeks to identify: (1)…
Descriptors: Personal Autonomy, Computer Assisted Instruction, Second Language Learning, Informal Education
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Tsai, Shu-Chiao – Computer Assisted Language Learning, 2022
This study investigates the effectiveness of using Google Translate as a translingual CALL tool in English as a Foreign Language (EFL) writing, keyed to the perceptions of both more highly proficient Chinese English major university students and less-proficient non-English majors. After watching a 5-minute passage from a movie, each cohort of…
Descriptors: Computer Assisted Instruction, Translation, Second Language Learning, Second Language Instruction
Dandan Yang – ProQuest LLC, 2022
With authentic English input and multimedia features, English storybook apps have the potential to be used as an effective learning tool for parent-child shared reading practice in families in English as a second or foreign language settings. This cost-effective educational technology may be particularly beneficial for those children from low…
Descriptors: Bilingual Instructional Materials, Computer Software, Computer Assisted Instruction, Story Reading
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Lee, Cynthia – Computer Assisted Language Learning, 2022
Human perceptions influence attitudes and intentions, and can predict actions. Despite the popular use of technology for English language teaching, and the association between learner factors and technology use, little is known about language learners' use of technology for personal and interpersonal learning activities, and whether there is a…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Technology Uses in Education
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Qin, Ying – International Journal of Computer-Assisted Language Learning and Teaching, 2019
This study extracts the comments from a large scale of Chinese EFL learners' translation corpus to study the taxonomy of translation errors. Two unsupervised machine learning approaches are used to obtain the computational evidences of translation error taxonomy. After manually revision, ten types of English to Chinese (E2C) and eight types…
Descriptors: Taxonomy, Translation, Computer Assisted Instruction, Second Language Learning
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Chen, Ming-Puu; Wang, Li-Chun; Zou, Di; Lin, Shu-Yuan; Xie, Haoran; Tsai, Chin-Chung – Computer Assisted Language Learning, 2022
Augmented reality (AR) deepens learning interactions by imposing digital information on top of physical settings. This study implemented an AR-enhanced theme-based contextualized learning and aimed to examine the effects of captions (non-caption, English caption and Chinese caption) and English proficiency (less proficient and proficient) on…
Descriptors: Visual Aids, Teaching Methods, Instructional Effectiveness, English (Second Language)
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Elena Polisca; Sascha Stollhans; Romain Bardot; Rollet, Cyrille – Research-publishing.net, 2022
This chapter examines the responses of Higher Education Institutions (HEIs) to assessment-related challenges introduced by the COVID-19 pandemic. The sudden move to online teaching and assessments required institutions to re-think their approaches to current practices and provide alternative solutions almost overnight. Our survey aimed to gather…
Descriptors: COVID-19, Pandemics, Integrity, Ethics
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Shum, Kathy Kar-man; Au, Terry Kit-fong; Romo, Laura F.; Jun, Sun-Ah – Language Learning and Development, 2021
Do learners of a second language (L2) need frequent contact with native speakers of that language in order to master its phonology? What if they hear audio recordings of native speakers and receive immediate corrective feedback about their perception? We used a randomized controlled experiment with 135 Chinese speakers (with English as their L2)…
Descriptors: Computer Assisted Instruction, Teaching Methods, Comparative Analysis, Error Correction
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Hee Jin Bang; Kirsten Olander; Erin Lenihan – CALICO Journal, 2020
This study examines the English language learning outcomes of young Chinese L1 children when using a digital self-guided learning tool, ABCmouse "English Language Learning Academy" (ABCmouse ELL), created by Age of Learning, Inc. and designed based on principles of second language research. In a pretest, posttest study design, experiment…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Learning Activities
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Chen, Mei-Hua – Taiwan Journal of TESOL, 2019
Lexical competence is considered as an important indicator of language proficiency. While learning vocabulary, learners need to remember various aspects of knowledge about the word (e.g., meaning, form and use). Many vocabulary learning strategies have been proposed to help learners consolidate vocabulary knowledge. Among them, grouping words…
Descriptors: Phrase Structure, Vocabulary Development, Computational Linguistics, Chinese
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