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Mengtian Chen – Computer Assisted Language Learning, 2024
This article discusses whether digital visual and audio feedback in learners' own voices improves their perception and production of lexical tones in Chinese as a foreign language. Forty-four beginners participated in a four-week training focused on the pronunciation of Mandarin Chinese tones at the word level. Half received digital feedback…
Descriptors: Feedback (Response), Computer Assisted Instruction, Pronunciation Instruction, Mandarin Chinese
Tai, Tzu-Yu; Chen, Howard Hao-Jan; Todd, Graeme – Computer Assisted Language Learning, 2022
VR technology allows learners to access simulated, immersive and interactive virtual environments to perform authentic learning activities. In particular, VR has emerged as a valuable tool for L2 learning. However, VR research has tended to pay more attention to desktop-based VR than to VR via mobile-rendered HMDs, leaving the potentials of VR…
Descriptors: Computer Simulation, Educational Technology, English (Second Language), Second Language Learning
Masumeh Sadat Seyyedrezaei; Mohammad Amiryousefi; Ana Gimeno-Sanz; Mansoor Tavakoli – Computer Assisted Language Learning, 2024
In recent years, there has been an upsurge of interest in the use of computer technologies for L2 writing instruction. Many researchers have empirically investigated the effects of the applications of educational technologies on language learners' writing performance and have highlighted the effectiveness of the use of educational technology in…
Descriptors: Computer Assisted Instruction, English (Second Language), Second Language Instruction, Writing Skills
Meixiu Zhang; Mimi Li – Computer Assisted Language Learning, 2025
Reading for writing tasks have been widely implemented in past decades, but research is still scarce on computer-mediated reading for writing. With a growing interest in collaborative writing and collaborative reading, spurred on by the broader awareness of sociocultural theory and the collaborative nature of digital technologies, we proposed an…
Descriptors: Cooperative Learning, Reading Comprehension, Documentation, Educational Technology
Wu, Mei-Hung – Computer Assisted Language Learning, 2021
The rise of augmented reality hits the world of Information, Communication and Technology which brings about the booming phenomenon of mobile games. One of hot mobile game with the successful application of augmented reality is "Pokémon Go," issued in August 2016. The uses of augmented reality not only give the gamers a new kind…
Descriptors: Computer Simulation, Telecommunications, Handheld Devices, Computer Games
Yüksel, H. Gülru; Mercanoglu, H. Güldem; Yilmaz, M. Betül – Computer Assisted Language Learning, 2022
Growing research suggests that digital flashcards may facilitate students' technical vocabulary learning efforts. The primary purpose of this quasi-experimental study was to compare the effect of digital flashcards (DFs) and wordlists on learning technical vocabulary as well as to explore students' perceptions regarding the use of DFs. Using…
Descriptors: Educational Technology, Language Tests, Vocabulary Development, Comparative Analysis
Yining Zhang; Binbin Zheng; Yuan Tian – Computer Assisted Language Learning, 2024
The use of text chat in synchronous computer-mediated communication (SCMC) could help remedy the widely reported lack of active involvement in online language learning. However, the nuances and complexities of learners' text-chat actions warrant further examination. This exploratory study used observational data collected from 40 students in a…
Descriptors: Synchronous Communication, Foreign Countries, Research Universities, English Language Learners
Goksu, Idris; Ozkaya, Ebru; Gunduz, Ali – Computer Assisted Language Learning, 2022
The primary aim of this study was to investigate the methodological trends of the articles published in the "Computer Assisted Language Learning (CALL)" journal between 2014 and 2019 via content analysis. The secondary aim was to analyze the "CALL" journal with the bibliometric mapping method to reveal the keyword trend and…
Descriptors: Content Analysis, Bibliometrics, Computer Assisted Instruction, Second Language Learning
Zhang, Meixiu; Akoto, Miriam; Li, Mimi – Computer Assisted Language Learning, 2023
Driven by the digital revolution in second language (L2) classrooms and broadened views on literacy, digital multimodal composing (DMC) has gained a robust growth of interests in the past decade. To illuminate the empirical landscape of this budding field, this paper provides a substantive and methodological review of 60 empirical L2 studies on…
Descriptors: Computer Assisted Instruction, Second Languages, Multimedia Materials, Writing (Composition)
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
Elaish, Monther M.; Shuib, Liyana; Hwang, Gwo-Jen; Ghani, Norjihan Abdul; Yadegaridehkordi, Elaheh; Zainuddin, Siti Zaidah – Computer Assisted Language Learning, 2023
Technology-mediated learning has become a valuable tool, especially in the English language classroom. Nowadays, mobile learning is considered a significant educational tool for promoting education among learners. Several recent studies have attempted to examine different aspects of mobile learning. The size of the experimental group, and the…
Descriptors: Computer Assisted Instruction, Second Language Learning, Second Language Instruction, English (Second Language)
Bolgün, M. Ali; McCaw, Tatiana – Computer Assisted Language Learning, 2019
With the ever-increasing number of available language technology products, there is also a need to evaluate them objectively. Unsubstantiated beliefs about what language technology can and cannot do inside or outside the language classroom often influence decisions about the choice of language technology to be used. The declarative/procedural…
Descriptors: Neurosciences, Second Language Learning, Second Language Instruction, Metalinguistics
Chen Hsieh, Jun; Lee, Ju Seong – Computer Assisted Language Learning, 2023
While recent years have witnessed increasing attention to technology-enhanced language learning, investigation regarding how technologies facilitate digital storytelling outcomes among middle school students in English-as-a-foreign-language contexts remains insufficiently explored. Studies concerning the effects of different presentation modes…
Descriptors: Story Telling, Outcomes of Education, Psychological Patterns, Academic Persistence
Nourollah Zarrinabadi; Mohsen Rezazadeh; Alireza Mohammadzadeh Mohammadabadi – Computer Assisted Language Learning, 2024
This article reports on a study that examined the relationship between language learners' L2 grit and language mindsets and their attitudes toward CALL. The participants of the study were 625 EFL learners (male = 165, 26.4%; female = 460, 73.6%) with the mean age of 24.4 years (SD = 1.74). They were asked to respond to questionnaires on language…
Descriptors: Second Language Learning, Resilience (Psychology), Student Attitudes, English (Second Language)
Hsu, Liwei – Computer Assisted Language Learning, 2023
The Language Massive Open Online Courses (LMOOCs) is a new platform of computer assisted language learning (CALL); since most LMOOCs witness high dropout rates, empirical evidence on English as a Foreign Language (EFL) learners' motivation to accept and utilize LMOOCs for English language learning is warranted. This study recruited 237 Taiwanese…
Descriptors: English (Second Language), Second Language Learning, Self Determination, MOOCs

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