Publication Date
| In 2026 | 0 |
| Since 2025 | 21 |
| Since 2022 (last 5 years) | 105 |
| Since 2017 (last 10 years) | 181 |
| Since 2007 (last 20 years) | 311 |
Descriptor
Source
| Computer Assisted Language… | 321 |
Author
| Chen, Nian-Shing | 3 |
| Hsu, Liwei | 3 |
| Kennedy, Claire | 3 |
| Liou, Hsien-Chin | 3 |
| Liu, Gi-Zen | 3 |
| Tsai, Shu-Chiao | 3 |
| Yang, Yu-Fen | 3 |
| Ali Soyoof | 2 |
| Barrett, Neil E. | 2 |
| Barry Lee Reynolds | 2 |
| Bin Zou | 2 |
| More ▼ | |
Publication Type
| Journal Articles | 321 |
| Reports - Research | 289 |
| Tests/Questionnaires | 57 |
| Reports - Evaluative | 18 |
| Reports - Descriptive | 11 |
| Information Analyses | 6 |
| Opinion Papers | 2 |
| Speeches/Meeting Papers | 1 |
Education Level
| Higher Education | 321 |
| Postsecondary Education | 242 |
| Elementary Secondary Education | 4 |
| Secondary Education | 4 |
| Two Year Colleges | 3 |
| Adult Education | 2 |
| High Schools | 2 |
| Early Childhood Education | 1 |
| Grade 12 | 1 |
Audience
| Teachers | 1 |
Location
| China | 48 |
| Taiwan | 48 |
| United Kingdom | 13 |
| Iran | 12 |
| Japan | 12 |
| South Korea | 12 |
| United States | 10 |
| Australia | 9 |
| Canada | 9 |
| Hong Kong | 9 |
| Spain | 9 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
| International English… | 4 |
| Test of English for… | 4 |
| Test of English as a Foreign… | 3 |
| Dale Chall Readability Formula | 1 |
| Flesch Kincaid Grade Level… | 1 |
| Flesch Reading Ease Formula | 1 |
| SAT (College Admission Test) | 1 |
What Works Clearinghouse Rating
Matt Kessler; Shawn Loewen; Talip Gönülal – Computer Assisted Language Learning, 2025
Despite the influx of research examining various aspects of mobile-assisted language learning (MALL) applications (apps) over the past two decades, there have been no head-to-head studies that have investigated the comparative effectiveness of different mobile apps. The current study addresses this gap by directly comparing two of the most…
Descriptors: Handheld Devices, Telecommunications, Technology Uses in Education, Second Language Learning
Yi-chen Chen – Computer Assisted Language Learning, 2024
Public speaking is considered the most anxiety-provoking speaking activity for English as a foreign language (EFL) learner. While traditional lecture-based classrooms hinder EFL learners' constant practice and frequent interaction due to large class sizes and limited time, recent developments in technology, including Artificial Intelligence (AI),…
Descriptors: Computer Assisted Instruction, Teaching Methods, Oral Language, Second Language Learning
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
Wen Jia; Austin Pack; Yi Guan; Liping Zhang; Bin Zou – Computer Assisted Language Learning, 2025
Despite the growing interest in game-based learning (GBL) over the last two decades, the influence of Augmented Reality-based GBL on English vocabulary growth is still not well understood when compared with other forms of media, especially with regard to academic English vocabulary. This quasi-experimental study with 90 Chinese…
Descriptors: Game Based Learning, English for Academic Purposes, Second Language Learning, Second Language Instruction
Asma Alsahil – Computer Assisted Language Learning, 2024
Despite the plethora of research on computer-supported collaborative writing, previous studies have failed to provide an adequate analysis of the quality and quantity of multi-authored texts due to the vast amount of unstructured data. This study aims to expand the current research by contributing new perspectives to the understanding of students'…
Descriptors: Collaborative Writing, English (Second Language), Second Language Learning, Advanced Courses
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
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
Keng-Chih Hsu; Neil E. Barrett; Gi-Zen Liu – Computer Assisted Language Learning, 2025
With the rise of augmented reality (AR) and context-aware ubiquitous learning (CAUL), pedagogical designers in computer assisted language learning are increasingly developing authentic English for Specific Purposes (ESP) learning environments. However, there has been little research regarding the development of evidence-based principles for…
Descriptors: Tourism, English for Special Purposes, Second Language Instruction, Second Language Learning
Bin Zou; Qinglang Lyu; Yining Han; Zijing Li; Weilei Zhang – Computer Assisted Language Learning, 2025
Adapted from the Technology Acceptance Model (TAM), the Integrated Model of Technology Acceptance (IMTA) has been used to examine the perceptions and acceptance of computer-assisted language learning (CALL), such as online learning, mobile learning, and learning management systems. However, whether IMTA can be applied to empirical research on…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Artificial Intelligence
Marjan Ebadijalal; Nouroddin Yousofi – Computer Assisted Language Learning, 2024
The current mixed-methods study aimed at incorporating a virtual reality (VR) tool (i.e. Google Expeditions) into the writing process of Iranian English as a foreign language (EFL) learners, examining its impact on their writing motivation and performance. To that end, 42 EFL learners were randomly assigned to experimental and control groups,…
Descriptors: Computer Software, Maps, Geography, English (Second Language)
Paola Guerrero-Rodriguez – Computer Assisted Language Learning, 2025
For heritage speakers (HSs), speaking their heritage language (HL) sometimes comes accompanied by HL anxiety and/or lack of confidence in their HL skills Although, HL anxiety and lack of confidence in the HL usually intertwine with few opportunities to use the language and/or being perceived as speakers of a stigmatized variety of the HL, the…
Descriptors: Native Language, Spanish, Self Esteem, Computer Mediated Communication
Hsu, Liwei – Computer Assisted Language Learning, 2022
The English as a foreign language (EFL) learners' levels of attention and meditation as well as brainwaves while interacting with an interlocutor in three different second-language (L2) socialization contexts--with another human in person, with another person through a virtual platform, and with an artificial intelligence (AI) chatbot--were…
Descriptors: Computer Assisted Instruction, Teaching Methods, English (Second Language), Second Language Learning
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
Hussein Meihami – Computer Assisted Language Learning, 2025
This study draws on an ecological perspective on teacher agency to examine the role of the situated learning CALL environment in developing EFL student-teachers' agency. The data were collected from eight student-teachers' autobiographical narratives and the recoded class discussions. The deductive thematic analysis of the data showed that…
Descriptors: Student Teachers, English (Second Language), Language Teachers, Student Attitudes
Knight, Janine; Dooly, Melinda; Barberà, Elena – Computer Assisted Language Learning, 2022
Research on mode in computer-mediated communication and language learning has primarily focused on mode-as-channel of communication such as audio- or videoconferencing. However, increasingly sophisticated technological tools now facilitate communication in multiple ways so that learners can convey and respond to peers and screen-based resources,…
Descriptors: Computer Assisted Instruction, Computer Mediated Communication, Second Language Learning, Second Language Instruction

Peer reviewed
Direct link
