Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 4 |
Since 2016 (last 10 years) | 7 |
Since 2006 (last 20 years) | 9 |
Descriptor
Source
Computer Assisted Language… | 11 |
Author
Abe, Makoto | 1 |
Barberà, Elena | 1 |
Chang, Kuo-En | 1 |
Chateau, Anne | 1 |
Chen, Julian ChengChiang | 1 |
Chukharev-Hudilainen, Evgeny | 1 |
Dekhinet, Rayenne | 1 |
Dooly, Melinda | 1 |
Heidi Jauni | 1 |
Hellmich, Emily A. | 1 |
Knight, Janine | 1 |
More ▼ |
Publication Type
Journal Articles | 11 |
Reports - Research | 11 |
Tests/Questionnaires | 1 |
Education Level
Higher Education | 6 |
Postsecondary Education | 5 |
High Schools | 1 |
Secondary Education | 1 |
Audience
Location
California | 1 |
California (San Francisco) | 1 |
Canada | 1 |
China | 1 |
Finland | 1 |
France | 1 |
Japan | 1 |
Taiwan | 1 |
United States | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
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
Teppo Jakonen; Heidi Jauni – Computer Assisted Language Learning, 2024
The development of videoconferencing technology has enabled new modes of combining in-person and remote teaching. In this article, we investigate interactional practices in hybrid language classrooms that combine on-site and remote participation by way of telepresence technology. Telepresence robots are videoconferencing tools that can be remotely…
Descriptors: Robotics, Second Language Learning, Second Language Instruction, Videoconferencing
Abe, Makoto – Computer Assisted Language Learning, 2021
Web-based writing tools, which allow multiple writers to share and edit the same document, have attracted significant attention as computer-assisted language learning tools in the past decade. However, how L2 writers contribute to the shared document as a social action for interacting with other cowriters remains underexplored in L2 research.…
Descriptors: Interaction, Interpersonal Competence, Asynchronous Communication, Computer Mediated Communication
Hellmich, Emily A. – Computer Assisted Language Learning, 2021
Recent calls from applied linguistics and from CALL have emphasized the importance of situating the understanding and use of digital tools for language learning within layered contexts. An important component of these layered contexts is societal discourses of technology, which are multiple and far from neutral. In response to these calls, this…
Descriptors: Computer Assisted Instruction, Second Language Learning, Second Language Instruction, Student Attitudes
Chen, Julian ChengChiang – Computer Assisted Language Learning, 2018
Driven by interactionist theory and operationalized by task-based interaction, this study aims to investigate EFL learners' task-based negotiation in Second Life (SL), a 3D multi-user virtual environment (MUVE). A group of adult EFL learners with diverse cultural/linguistic backgrounds in L1 participated in this task-based virtual class. Learners…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computer Assisted Instruction
Tang, Joni Tzuchen; Sung, Yao-Ting; Chang, Kuo-En – Computer Assisted Language Learning, 2016
This study was designed to determine if language acquisition can occur in a virtual situation in the absence of explicit instruction. After spending 1 year establishing a virtual community, the authors observed and analyzed interpersonal interactions and the development of Chinese communication competence, communication models, and interaction…
Descriptors: Action Research, Chinese, Communicative Competence (Languages), Second Language Learning
Chukharev-Hudilainen, Evgeny; Saricaoglu, Aysel – Computer Assisted Language Learning, 2016
Expressing causal relations plays a central role in academic writing. While it is important that writing instructors assess and provide feedback on learners' causal discourse, it could be a very time-consuming task. In this respect, automated writing evaluation (AWE) tools may be helpful. However, to date, there have been no AWE tools capable of…
Descriptors: Discourse Analysis, Feedback (Response), Undergraduate Students, Accuracy
Chateau, Anne; Zumbihl, Helene – Computer Assisted Language Learning, 2012
The flexible language learning system we have devised at our university combines different elements: individual work on a virtual learning environment, pair-work and counseling sessions. The implementation of the system involves a new conception of the different "actors" roles. Teachers become tutors or counselors with new specific…
Descriptors: Student Attitudes, Computer Assisted Instruction, Second Language Learning, Teacher Role
Dekhinet, Rayenne – Computer Assisted Language Learning, 2008
This study investigates the value of online enhanced corrective feedback for non-native speakers of English from (1) the quality of their interaction online, (2) their perceptions, and (3) the challenges encountered. Online enhanced feedback is an online peer tutoring technique that was developed from Negotiated Meaning and used by native speakers…
Descriptors: Peer Teaching, Native Speakers, English (Second Language), Tutoring
Zapata, Gabriela C. – Computer Assisted Language Learning, 2004
The increasing importance of computer assisted language learning (CALL) in second language (L2) classes has added a new dimension to L2 research, and it has challenged scholars to find valid research methods and theoretical frameworks that can be applied in the analysis of the linguistic and social aspects of the interaction among students and…
Descriptors: Researchers, Research Methodology, Interaction, Discourse Analysis

Schwind, Camilla B. – Computer Assisted Language Learning, 1995
Presents a framework for dealing with errors in natural language sentences within the context of automated second-language teaching. Using a feature grammar, it is possible to describe various types of errors in a uniform framework, clearly define an error, and analyze the error source. (24 references) (Author/CK)
Descriptors: Computer Assisted Instruction, Context Effect, Discourse Analysis, Error Analysis (Language)