Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 3 |
Since 2006 (last 20 years) | 6 |
Descriptor
Source
Computer Assisted Language… | 6 |
Author
Bodnar, Stephen | 1 |
Byrne, Timothy | 1 |
Chao-Jung Ko | 1 |
Cucchiarini, Catia | 1 |
Heift, Trude | 1 |
Lee, Sangmin-Michelle | 1 |
Strik, Helmer | 1 |
Yang, Yu-Fen | 1 |
de Vries, Bart Penning | 1 |
van Hout, Roeland | 1 |
Publication Type
Journal Articles | 6 |
Reports - Research | 5 |
Tests/Questionnaires | 3 |
Reports - Descriptive | 1 |
Education Level
Higher Education | 3 |
Postsecondary Education | 2 |
Adult Education | 1 |
Audience
Location
Taiwan | 2 |
Netherlands | 1 |
South Korea | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Chao-Jung Ko – Computer Assisted Language Learning, 2024
This study aimed to examine the impact of an online writing system (OWS) providing individualized corrective feedback (CF) on learners' self-correction of grammatical errors (GE). It consisted of two phases: the pilot and the formal phases. Four EFL (English as a Foreign Language) Taiwanese university students participated in the study at the…
Descriptors: Feedback (Response), English (Second Language), Second Language Learning, Grammar
Lee, Sangmin-Michelle – Computer Assisted Language Learning, 2020
Although it remains controversial, machine translation (MT) has gained popularity both inside and outside of the classroom. Despite the growing number of students using MT, little is known about its use as a pedagogical tool in the EFL classroom. The present study investigated the role of MT as a CALL tool in EFL writing. Most studies on MT as a…
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
de Vries, Bart Penning; Cucchiarini, Catia; Bodnar, Stephen; Strik, Helmer; van Hout, Roeland – Computer Assisted Language Learning, 2015
Speaking practice is important for learners of a second language. Computer assisted language learning (CALL) systems can provide attractive opportunities for speaking practice when combined with automatic speech recognition (ASR) technology. In this paper, we present a CALL system that offers spoken practice of word order, an important aspect of…
Descriptors: Grammar, Computer Assisted Instruction, Feedback (Response), Error Correction
Heift, Trude – Computer Assisted Language Learning, 2006
This article discusses design and usability issues pertaining to context-sensitive "help" in computer-assisted language learning (CALL). As part of the discussion, we present a study in which we examined the effects of three independent factors on student usage of context-sensitive "help": feedback, exercise type, and language proficiency. Forty…
Descriptors: Computer Assisted Instruction, Second Language Instruction, Second Language Learning, Feedback
Byrne, Timothy – Computer Assisted Language Learning, 2007
Many teachers today use Learning Management Systems (LMS), several of which are open-source. Specific examples are Claroline and Moodle. However, they are not specifically designed for language learning, and hence not entirely suitable. In this article, I will compare two uses of the Claroline LMS available at Louvain-la-Neuve within the framework…
Descriptors: Management Systems, Computer Software, Computer Assisted Instruction, Second Language Instruction