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Showing 1 to 15 of 80 results Save | Export
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Kevin Papin; Regina Kaplan-Rakowski – Computer Assisted Language Learning, 2024
Second language (L2) learning research suggests that virtual reality (VR) has the potential to enhance the development of language skills due to its immersive nature and its situated learning opportunities. This quantitative, between-subjects study compared the effectiveness of three learning conditions. University students (N = 63) studied…
Descriptors: Foreign Countries, College Students, French, Second Language Learning
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Fievez, Isabeau; Montero Perez, Maribel; Cornillie, Frederik; Desmet, Piet – Computer Assisted Language Learning, 2023
This paper investigates the effects of watching an entire season of a French series with the streaming service Netflix in an out-of-classroom context. University Dutch-speaking low- to high-intermediate learners of French were divided into two groups: a control group who only took the tests (N = 37) and a treatment group (N = 65). Learners in the…
Descriptors: Incidental Learning, Vocabulary Development, French, Second Language Learning
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Li, Jia; Ji, Linying; Deng, Qizhen – Computer Assisted Language Learning, 2023
Despite the growing body of technology-assisted vocabulary intervention studies, few have addressed learning outcomes beyond target vocabulary and the interaction between the interventions and English language learners' (ELLs) initially different levels of vocabulary knowledge. The study examined the differential effects of a texting-based…
Descriptors: Foreign Countries, Undergraduate Students, English Language Learners, Vocabulary Development
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Wang, Na; Chen, Juanwen; Zhang, Jingyuan – Computer Assisted Language Learning, 2022
This paper reports on the development of constructive EAP CALL courseware, and its integration into blended learning contexts, as a solution to the problems in EAP courses in Chinese universities. A case study of a defining skills package, developed for undergraduates at the University of Science and Technology Beijing (USTB), is used to…
Descriptors: English for Academic Purposes, Second Language Learning, Second Language Instruction, Courseware
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Siowai Lo – Computer Assisted Language Learning, 2025
Neural Machine Translation (NMT) has gained increasing popularity among EFL learners as a CALL tool to improve vocabulary, and many learners have reported its helpfulness for vocabulary learning. However, while there has been some evidence suggesting NMT's facilitative role in improving learners' writing on the lexical level, no study has examined…
Descriptors: Translation, Computational Linguistics, Vocabulary Development, English (Second Language)
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Chen Chen; Yifeng Yuan – Computer Assisted Language Learning, 2025
This study explores the effectiveness of Virtual Reality (VR) in Chinese as a second language (CSL) vocabulary learning from the international students' perspective. A new theoretical framework of VR-based vocabulary learning was designed and verified to serve the investigation. A total of 30 international students learning CSL in a Chinese…
Descriptors: Second Language Learning, Second Language Instruction, Vocabulary Development, Computer Simulation
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Ma, Qing; Tang, Jinlan; Lin, Shanru – Computer Assisted Language Learning, 2022
Despite the growing popularity of corpus linguistics among researchers in recent decades, a corpus-based approach remains largely unknown to most teachers in primary and secondary schools. Drawing on Shulman's concept of pedagogical content knowledge, this study differentiated between two key terms -- corpus literacy and corpus-based language…
Descriptors: Foreign Countries, Preservice Teachers, Preservice Teacher Education, Language Teachers
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Siowai Lo – Computer Assisted Language Learning, 2024
With the rise of computer-assisted online learning tools such as the "Language Reactor," advanced captioning options such as dual subtitles (i.e. simultaneous display of on-screen texts in the first language and the second/foreign language) have gained much attention. However, little is known about how dual-subtitled viewing may be…
Descriptors: Vocabulary Development, Captions, Intervention, Educational Technology
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Cheng-Yueh Jao; Hui-Chin Yeh; Wan-Rou Huang; Nian-Shing Chen – Computer Assisted Language Learning, 2024
While previous studies have focused on the outcomes of using dubbing apps to foster learner's development of English-speaking ability, this study, grounded in cognitive apprenticeship (CA), is an investigation of the learning processes, which included modeling, coaching, scaffolding, articulation, reflection, and exploration, involved in the use…
Descriptors: Video Technology, Audiovisual Aids, Audio Equipment, Translation
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Huiwan Zhang; Wei Wei; Yiqian Cao – Computer Assisted Language Learning, 2024
The role of computer-assisted language learning (CALL) in developing vocabulary knowledge has been investigated extensively in the field of English for Academic Purposes with positive outcomes. However, its implications for medical education, and specifically foreign languages for medical purposes, have not received much attention. This study…
Descriptors: Computer Assisted Instruction, Educational Technology, Technology Uses in Education, Medical Education
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Jingjing Zhu; Xi Zhang; Jian Li – Computer Assisted Language Learning, 2024
Traditional L2 pronunciation teaching puts too much emphasis on explicit phonological knowledge ('knowing that') rather than on procedural knowledge ('knowing how'). The advancement of mobile-assisted language learning (MALL) offers new opportunities for L2 learners to proceduralize their declarative articulatory knowledge into production skills…
Descriptors: Artificial Intelligence, Technology Uses in Education, Pronunciation Instruction, Second Language Instruction
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Huang, Tzu-Hua; Wang, Lun-Zhu – Computer Assisted Language Learning, 2023
TPR (Total Physical Response) is a methodology for teaching foreign languages. In traditional TPR, teachers need to spend a considerable amount of time confirming the accuracy of students' movements, which results in a low-efficiency teaching process and affects the fairness of student learning. A motion sensing system can assess the accuracy of…
Descriptors: Artificial Intelligence, Second Language Learning, Second Language Instruction, Motion
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Heejin Chang; Scott Windeatt – Computer Assisted Language Learning, 2023
This study investigates the potential of "VoiceThread" (VT) as a learning tool in order to enhance learners' performance and confidence, and to provide the basis for continuing independent practice. The participants were students from culturally and linguistically diverse backgrounds on a 10-week English for Academic Purposes (EAP)…
Descriptors: Foreign Countries, College Students, Audio Equipment, Computer Software
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Ali Soyoof; Barry Lee Reynolds; Rustam Shadiev; Boris Vazquez-Calvo – Computer Assisted Language Learning, 2024
While the study of serious games has received due attention, few studies have investigated their potentials of simultaneously offering a route to both content and language acquisition. Understanding the interdisciplinary educational affordance of serious game play is significant, as it might provide game designers and teachers with insight into…
Descriptors: Computer Assisted Instruction, Computer Games, Second Language Learning, Second Language Instruction
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Ahmet Çekiç – Computer Assisted Language Learning, 2024
Despite increasing number of studies on incidental vocabulary learning through viewing in a foreign language, glosses, which have been proven to have facilitative effects in incidental vocabulary learning via other modes of input, have remained underexplored in audiovisual input. The current study investigates the effects of (1) traditional gloss…
Descriptors: Incidental Learning, Linguistic Input, Audiovisual Instruction, Teaching Methods
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