Publication Date
| In 2026 | 0 |
| Since 2025 | 73 |
| Since 2022 (last 5 years) | 511 |
| Since 2017 (last 10 years) | 1272 |
| Since 2007 (last 20 years) | 2197 |
Descriptor
| Computer Assisted Instruction | 3243 |
| Second Language Learning | 3243 |
| Second Language Instruction | 2384 |
| English (Second Language) | 1491 |
| Teaching Methods | 1436 |
| Foreign Countries | 1434 |
| Student Attitudes | 690 |
| Computer Software | 669 |
| Educational Technology | 578 |
| College Students | 511 |
| Instructional Effectiveness | 503 |
| More ▼ | |
Source
Author
| Heift, Trude | 21 |
| Godwin-Jones, Robert | 14 |
| Liou, Hsien-Chin | 14 |
| Peterson, Mark | 14 |
| Levy, Mike | 13 |
| Burston, Jack | 12 |
| Meskill, Carla | 11 |
| Bradley, Linda, Ed. | 10 |
| Nagata, Noriko | 10 |
| Thouësny, Sylvie, Ed. | 10 |
| Zou, Di | 10 |
| More ▼ | |
Publication Type
Education Level
Audience
| Teachers | 101 |
| Practitioners | 84 |
| Researchers | 34 |
| Students | 22 |
| Administrators | 9 |
| Policymakers | 4 |
| Community | 1 |
Location
| Taiwan | 136 |
| Japan | 130 |
| China | 116 |
| Iran | 92 |
| Turkey | 86 |
| United Kingdom | 58 |
| Spain | 50 |
| Australia | 46 |
| Canada | 46 |
| Saudi Arabia | 46 |
| South Korea | 46 |
| More ▼ | |
Laws, Policies, & Programs
| No Child Left Behind Act 2001 | 2 |
| Every Student Succeeds Act… | 1 |
| Fulbright Hays Act | 1 |
| Race to the Top | 1 |
Assessments and Surveys
What Works Clearinghouse Rating
| Meets WWC Standards without Reservations | 2 |
| Meets WWC Standards with or without Reservations | 2 |
| Does not meet standards | 2 |
Tom Neuschafer – Journal of Educators Online, 2024
This research used qualitative netnography to examine the use of Duolingo German discussion boards among users of varying levels of engagement. The sample contained six participants of various levels of engagement. The criteria for selecting participants were based on usage counts in the discussion board community. This study aimed to examine…
Descriptors: Second Language Learning, Second Language Instruction, German, Computer Software
Rustam Shadiev; Xuan Chen; Fahriye Altinay – Journal of Computer Assisted Learning, 2024
Background: Our study analysed 46 articles on computer-aided translation (CAT) and its educational uses. We explored two main areas: CAT technologies in learning and teaching, and the research methodologies of these studies. Objectives: Our review covered the types of CAT technologies used, their applications in different learning settings,…
Descriptors: Translation, College Students, Computer Assisted Instruction, Computer Software Evaluation
Joshua Kloppers – International Journal of Computer-Assisted Language Learning and Teaching, 2023
Automated writing evaluation (AWE) software is an increasingly popular tool for English second language learners. However, research on the accuracy of such software has been both scarce and largely limited in its scope. As such, this article broadens the field of research on AWE accuracy by using a mixed design to holistically evaluate the…
Descriptors: Grammar, Automation, Writing Evaluation, Computer Assisted Instruction
Mohammed Ali Mohsen; Sultan Althebi; Saba Qadhi – European Journal of Education, 2025
This bibliometric analysis explores the evolution of Computer-Assisted Language Learning (CALL) research spanning from 1979 to 2023. The study meticulously examines various metrics of CALL research across the past four decades, focusing on geographical and institutional productivity, citation impact, and the thematic co-occurrence of keywords.…
Descriptors: Computer Assisted Instruction, Second Language Learning, Foreign Countries, English (Second Language)
Serdar Tekin – Journal of Learning and Teaching in Digital Age, 2024
The enormous developments in technology and hence the widespread use of hand-held devices in the last few decades have led to great interest in mobile-assisted language learning (MALL) as a new way of language education. MALL is considered an effective method particularly for young language learners due to their higher level of familiarity with…
Descriptors: Computer Assisted Instruction, Second Language Learning, Ethics, Quasiexperimental Design
Raffaele Di Fuccio; Joanna Kic-Drgas; Joanna Wozniak – Smart Learning Environments, 2024
This paper addresses the limited exploration of the impact of virtual and augmented reality on the learning process, particularly within the context of foreign language learning among young learners. Motivated by this research gap, the EULALIA, conducted from 2019 to 2023 (2019-1-IT02-KA203-063228), sought to evaluate the efficacy of integrating…
Descriptors: Computer Simulation, Computer Oriented Programs, Second Language Learning, Cultural Awareness
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
Zixi Li; Curtis J. Bonk – Computer Assisted Language Learning, 2025
The research study explored online language learners' self-directed language learning (SDLL) experiences, benefits, motivations, and challenges when employing educational tools like Duolingo in an out of classroom context. To gain insights into SDLL, in-depth and semi-structured interviews with 10 Duolingo users were conducted. Study results…
Descriptors: Computer Software, Independent Study, Second Language Learning, Second Language Instruction
Gao, Ya; Pan, Lin – Language Learning Journal, 2023
Mobile-assisted language learning is a growing feature of contemporary language learning, and their distinct gamification design produces new and increasingly popular contexts for language learning. This paper explores the gamification features of the two most popular EFL vocabulary learning applications widely used by Asian learners --…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computer Assisted Instruction
Guangxiang Liu; Yue Zhang; Rui Zhang – Journal of Multilingual and Multicultural Development, 2024
Focusing on how a world of possibilities is opened up by language learners themselves, imagination has been regarded as an elusive but indispensable element in second language (L2) education. Drawing on notions of international posture (Yashima 2002), Ideal L2 Self (Dörnyei 2009), and imagined communities (Norton 2001), we theorised imagination…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Self Concept
Ali Alsaawi; Mohammad Almoaily; Fahad Almulhim; Nesreen Alahmadi; Hamza Alshenqeeti – International Journal of Computer-Assisted Language Learning and Teaching, 2025
Artificial intelligence (AI) is one of the fastest growing technologies today. Its extraordinary scope and capabilities have led people of all ages and abilities to employ it in many of their activities. Language learning is a lifetime experience that could benefit from the use of AI and thus it is worth exploring people's awareness of this…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Second Language Learning, Second Language Instruction
Marjan Ebadijalal; Shahab Moradkhani – Computer Assisted Language Learning, 2025
The present mixed-methods study aimed at investigating the effects of three writing conditions, including collaborative writing (CW), collaborative prewriting (CPW), and individual writing (IW), on the performance and motivation of 66 Iranian EFL learners in a computer-mediated communication (CMC) context. Data were obtained through a background…
Descriptors: Computer Assisted Instruction, Collaborative Writing, Prewriting, Writing (Composition)
Ghulam Abbas; Naureen Nazar; Zhirun Huang; Zhanhao Jiang – Asia-Pacific Education Researcher, 2025
This study compares the grammatical errors (GEs) made by non-English major undergraduate students from China and Pakistan, aiming to identify common and distinct types of error and to explore potential reasons behind them. By focusing on these two linguistically and culturally distinct groups, this research seeks to enhance understanding of…
Descriptors: Foreign Countries, Computer Assisted Instruction, Error Patterns, Error Analysis (Language)
Shakiba Razmeh – Journal for Multicultural Education, 2024
Purpose: The purpose of this study is to examine the impact of computer-assisted language learning on cultural adaptation and language learning in non-traditional classroom settings. Design/methodology/approach: The data of this study came from extended periods of observation, multiple rounds of semi-structured interviews and home visits. Using…
Descriptors: Computer Assisted Instruction, Teaching Methods, Second Language Instruction, Second Language Learning
Asma Almusharraf; Hassan Saleh Mahdi; Haifa Al-Nofaie; Amal Aljasser – Journal of Computer Assisted Learning, 2024
Background study: Computer-assisted pronunciation training (CAPT) has emerged as an important resource for second language (L2) pronunciation learning. CAPT offers diverse opportunities for learners to master L2 pronunciation with the help of authentic learning activities in multiple contexts. Objectives: This study presents a comprehensive…
Descriptors: Computer Assisted Instruction, Pronunciation Instruction, Second Language Learning, Second Language Instruction

Peer reviewed
Direct link
