Publication Date
In 2025 | 0 |
Since 2024 | 11 |
Since 2021 (last 5 years) | 27 |
Since 2016 (last 10 years) | 49 |
Since 2006 (last 20 years) | 86 |
Descriptor
Source
Computer Assisted Language… | 97 |
Author
Hsu, Liwei | 2 |
Lee, Cynthia | 2 |
Levy, Mike | 2 |
Liou, Hsien-Chin | 2 |
Liu, Gi-Zen | 2 |
Thang, Siew Ming | 2 |
Tseng, Jun-Jie | 2 |
Xu, Zhihong | 2 |
Zou, Di | 2 |
Abraham, Lee B. | 1 |
Ali Khodi | 1 |
More ▼ |
Publication Type
Journal Articles | 97 |
Reports - Research | 70 |
Tests/Questionnaires | 16 |
Reports - Descriptive | 11 |
Information Analyses | 10 |
Reports - Evaluative | 8 |
Opinion Papers | 4 |
Education Level
Audience
Administrators | 1 |
Teachers | 1 |
Location
Taiwan | 13 |
Hong Kong | 4 |
Turkey | 4 |
China | 3 |
Iran | 3 |
Malaysia | 3 |
New Zealand | 3 |
South Korea | 3 |
Spain | 3 |
United Kingdom | 3 |
Australia | 2 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
Test of English as a Foreign… | 2 |
International English… | 1 |
Stages of Concern… | 1 |
What Works Clearinghouse Rating
Eryigit, Gülsen; Bektas, Fatih; Ali, Ubey; Dereli, Bihter – Computer Assisted Language Learning, 2023
Grammatical information, embedded at the word level, makes the acquisition of morphologically rich languages quite complex as well as the language exercise generation process for teachers. This study introduces a new gamification approach for complex morphology learning and aims to analyze the students' perceptions towards it. In this approach,…
Descriptors: Grammar, Morphology (Languages), Gamification, Student Attitudes
Seongyong Lee; Jaeho Jeon – Computer Assisted Language Learning, 2024
Artificial agents, such as voice-controlled conversational agents (VCAs) built into smart devices, are becoming more prevalent in daily and educational contexts, enhancing the possibility of using them as language partners. However, research has primarily focused on the cognitive or affective outcomes of using these agents, overlooking questions…
Descriptors: Foreign Countries, English (Second Language), Second Language Learning, Second Language Instruction
Su, Fan; Zou, Di – Computer Assisted Language Learning, 2022
With the emergence of educational technology, technology-enhanced collaborative language learning had gained increasing attention from learners, educators, and researchers, and a large number of studies had been conducted to investigate the effects of technology-enhanced collaborative learning on students' development of language knowledge and…
Descriptors: Technology Uses in Education, Cooperative Learning, Second Language Learning, Educational Technology
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
Sima Khezrlou – Computer Assisted Language Learning, 2024
This study investigated whether repetitions of a wiki-mediated collaborative writing task with the intervention of consciousness-raising could enhance learners' attention to past-counterfactual conditional in English and their explicit and implicit knowledge development. Sixty learners worked in pairs to complete the same essay-writing task four…
Descriptors: Task Analysis, Collaborative Writing, Knowledge Level, Repetition
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
Nishioka, Hiromi – Computer Assisted Language Learning, 2023
Developments in the affordances of the Internet provide language learners with easy access to learning resources as well as interactions with native speakers. This emerging learning landscape thus creates favourable conditions to learners who want to engage in self-directed language learning. This in-depth single case study reports on the…
Descriptors: Korean, Social Media, Video Technology, Educational Technology
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)
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
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
Jianhua Zhang; Lawrence Jun Zhang – Computer Assisted Language Learning, 2024
This study mainly explored the effects of teacher feedback, peer feedback and automated feedback on the use of metacognitive strategies in EFL writing. Ninety-seven participants were recruited and divided into three groups, who received two months of feedback from teachers, peers and an automatic writing evaluation system, respectively, and then…
Descriptors: Feedback (Response), Metacognition, English (Second Language), Second Language Learning
Barrett, Neil E.; Liu, Gi-Zen; Wang, Hei-Chia – Computer Assisted Language Learning, 2022
This study investigated student perceptions and opinions on an English Oral Presentation Application (EOPA), a mobile learning application designed to assist English learners develop oral presentations and online collaboration skills. This study was part of a Design Based Research (DBR) project which incorporated an adapted Technology Acceptance…
Descriptors: Foreign Countries, Undergraduate Students, Student Attitudes, Oral Language