Publication Date
| In 2026 | 0 |
| Since 2025 | 1 |
| Since 2022 (last 5 years) | 4 |
| Since 2017 (last 10 years) | 5 |
| Since 2007 (last 20 years) | 6 |
Descriptor
Source
| Computer Assisted Language… | 6 |
Author
| Ahn, Soojin | 1 |
| Baturay, Meltem Huri | 1 |
| Boning Lyu | 1 |
| Chun Lai | 1 |
| Chung, Eun Seon | 1 |
| Daloglu, Aysegul | 1 |
| Eslami, Zohreh R. | 1 |
| Jiang, Wei | 1 |
| Ken Hyland | 1 |
| Yang, Yu-Fen | 1 |
| Zhe Zhang | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 6 |
| Reports - Research | 6 |
| Tests/Questionnaires | 1 |
Education Level
| Higher Education | 4 |
| Postsecondary Education | 3 |
Audience
Location
| China | 2 |
| South Korea | 1 |
| Taiwan | 1 |
| Turkey | 1 |
| United States | 1 |
Laws, Policies, & Programs
Assessments and Surveys
| International English… | 1 |
What Works Clearinghouse Rating
Peer reviewed
Direct linkZhe 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
Boning Lyu; Chun Lai – Computer Assisted Language Learning, 2024
Studies have explored how second language (L2) learners engage with peer feedback in instructional contexts. However, how learners engage in self-initiated and self-directed feedback practices beyond the classroom in online spaces is largely unknown. Informed by an ecological perspective, an in-depth exploration of the dynamics and underpinning…
Descriptors: Learner Engagement, Social Networks, Second Language Learning, Second Language Instruction
Chung, Eun Seon; Ahn, Soojin – Computer Assisted Language Learning, 2022
Many studies that have investigated the educational value of online machine translation (MT) in second language (L2) writing generally report significant improvements after MT use, but no study as of yet has comprehensively analyzed the effectiveness of MT use in terms of various measures in syntactic complexity, accuracy, lexical complexity, and…
Descriptors: Translation, Computational Linguistics, English (Second Language), Second Language Learning
Yang, Yu-Fen – Computer Assisted Language Learning, 2018
This study reports on how students construct new language knowledge by indirect feedback in web-based collaborative writing. Indirect feedback (text organization, reader-based perspectives, and clarity of purpose) encourages students to negotiate meaning instead of merely copying peers' direct feedback on grammatical corrections. According to the…
Descriptors: Feedback (Response), Collaborative Writing, Questionnaires, Language Proficiency
Jiang, Wei; Eslami, Zohreh R. – Computer Assisted Language Learning, 2022
Although the effectiveness of computer-mediated collaborative writing (CMCW) is confirmed by many recent studies, only a few have investigated whether linguistic knowledge and writing skills learned through collaboration can be internalized and transferred to individual writing. This study uses a pre-and post-test design to investigate the impact…
Descriptors: Collaborative Writing, English (Second Language), Second Language Learning, Second Language Instruction
Baturay, Meltem Huri; Daloglu, Aysegul – Computer Assisted Language Learning, 2010
Many teachers have the tendency to look at only the standardized test scores of their students while ignoring how or why various dimensions of language proficiency has improved or not improved. Portfolio, however, reveals a clear picture of the student's growth and development. This study reflects that traditional approaches to assessment of…
Descriptors: Portfolios (Background Materials), Portfolio Assessment, Standardized Tests, Online Courses
