Publication Date
| In 2026 | 0 |
| Since 2025 | 5 |
Descriptor
Source
| Computer Assisted Language… | 5 |
Author
| Amine Hatun Atas | 1 |
| Behice Ceyda Cengiz | 1 |
| Bin Zou | 1 |
| Ken Hyland | 1 |
| Maarit Mutta | 1 |
| Marwan H. Sallam | 1 |
| Minghua Xu | 1 |
| Outi Veivo | 1 |
| Qinglang Lyu | 1 |
| Rong Luo | 1 |
| Ruisheng Liu | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 5 |
| Reports - Research | 5 |
| Tests/Questionnaires | 3 |
Education Level
| Higher Education | 3 |
| Postsecondary Education | 3 |
| Elementary Education | 2 |
| Early Childhood Education | 1 |
| Grade 1 | 1 |
| Primary Education | 1 |
Audience
Location
| China | 2 |
| Egypt | 1 |
| Finland | 1 |
| Middle East | 1 |
| Morocco | 1 |
| Saudi Arabia | 1 |
| Turkey | 1 |
| Yemen | 1 |
Laws, Policies, & Programs
Assessments and Surveys
| International English… | 1 |
What Works Clearinghouse Rating
Peer reviewed
Direct linkMarwan H. Sallam; Yan Li; Sunnie Lee Watson; Ruisheng Liu; Rong Luo; Minghua Xu – Computer Assisted Language Learning, 2025
This study investigated participants' perceived attitudinal learning in language massive open online courses (LMOOCs). A mixed-method design was used to evaluate the attitudinal learning outcomes of 151 participants who completed the attitudinal learning questionnaire at the middle and end of the course, as well as 10 participants who participated…
Descriptors: MOOCs, Student Attitudes, Second Language Learning, Chinese
Outi Veivo; Maarit Mutta – Computer Assisted Language Learning, 2025
This study focuses on dialogue breakdowns that can occur in robot-assisted language learning (RALL). Our aim is to analyse how children use gaze to resolve these breakdowns, that is, interruptions in the interaction caused by the robot's inability to understand the children and react appropriately. Our corpus consists of 18 video filmed L2…
Descriptors: Robotics, Technology Uses in Education, Second Language Learning, Interaction
Zhe Zhang; Ken Hyland – Computer Assisted Language Learning, 2025
Research on second language (L2) writing suggests that student engagement with automated writing evaluation (AWE) feedback is influenced by various individual and contextual factors. Little attention, however, has been given to the role that students' digital literacy can play in this process. Increasingly, digital literacy is becoming…
Descriptors: Writing Evaluation, Feedback (Response), Second Language Learning, Second Language Instruction
Behice Ceyda Cengiz; Amine Hatun Atas – Computer Assisted Language Learning, 2025
This research investigates the correlation between online self-regulation (OSR) and in class co-regulation (CR) within a flipped EFL (English as a Foreign Language) writing classroom. Employing a mixed methods approach, the study amalgamates descriptive and correlational quantitative data with qualitative interview data. Participants consisted of…
Descriptors: English (Second Language), Second Language Instruction, Second Language Learning, Correlation
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
