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Nourollah Zarrinabadi; Mohsen Rezazadeh; Alireza Mohammadzadeh Mohammadabadi – Computer Assisted Language Learning, 2024
This article reports on a study that examined the relationship between language learners' L2 grit and language mindsets and their attitudes toward CALL. The participants of the study were 625 EFL learners (male = 165, 26.4%; female = 460, 73.6%) with the mean age of 24.4 years (SD = 1.74). They were asked to respond to questionnaires on language…
Descriptors: Second Language Learning, Resilience (Psychology), Student Attitudes, English (Second Language)
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
Ranalli, Jim – Computer Assisted Language Learning, 2018
Automated written corrective feedback (AWCF) has qualities that distinguish it from teacher-provided WCF and potentially undermine claims about its value for L2 student writers, including disparities in the amounts of useful information it provides across error types and the fact that inaccuracies in error-flagging must be anticipated. It remains…
Descriptors: Error Correction, Feedback (Response), Computer Assisted Instruction, Second Language Learning
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
Winke, Paula; Goertler, Senta; Amuzie, Grace L. – Computer Assisted Language Learning, 2010
In this study, we present the analyses stemming from a survey administered to 2149 foreign language learners at Michigan State University. We had three goals. First, we aimed to compile a profile of language learners' technological acumen, access to and ownership of technology, and the current uses of technology across a wide range of languages…
Descriptors: Alphabets, Ownership, Orthographic Symbols, Second Language Learning
Abraham, Lee B. – Computer Assisted Language Learning, 2008
Language learners have unprecedented opportunities for developing second language literacy skills and intercultural understanding by reading authentic texts on the Internet and in multimedia computer-assisted language learning environments. This article presents findings from a meta-analysis of 11 studies of computer-mediated glosses in second…
Descriptors: Reading Comprehension, Second Language Learning, Effect Size, Educational Technology

Decoo, Wilfried – Computer Assisted Language Learning, 1996
Provides background information and basic options of Didascalia, a computer-assisted language learning center at the University of Antwerp (Belgium) in the domain of language methodology and technology. (CK)
Descriptors: Computer Assisted Instruction, Computer Software, Course Content, Databases

Troubleyn, Katrien; And Others – Computer Assisted Language Learning, 1996
Discusses the development of the Adaptive Testing Linguistic Achievement Significance (ATLAS) test used to evaluate second language proficiency of Belgian civil servants. Notes that testers encountered various problems caused by the complexity of language, the difference in background of the candidates and the absence of official objective test…
Descriptors: Computer Assisted Testing, Computer Software, Foreign Countries, Government Employees