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Barrot, Jessie S. – Computer Assisted Language Learning, 2023
Despite the building up of research on the adoption of automated writing evaluation (AWE) systems, the differential effects of automated written corrective feedback (AWCF) on errors with different severity levels and gains across writing tasks remain unclear. Thus, this study fills in the vacuum by examining how AWCF through Grammarly affects…
Descriptors: Automation, Written Language, Error Correction, Feedback (Response)
Kiliçkaya, Ferit – Computer Assisted Language Learning, 2022
Although a plethora of research has been conducted on written corrective feedback and timing of feedback in various teaching and learning contexts, there is a paucity of research on learners' preferences regarding different online written corrective feedback. Such a lacuna becomes prominent in EFL contexts, especially in grammar classes, where…
Descriptors: Preservice Teachers, Language Teachers, Electronic Learning, Written Language
Paul, Jing Z.; Friginal, Eric – Computer Assisted Language Learning, 2019
This study investigated the effects of Facebook and Twitter on foreign language (Chinese) learners' written production in both short- (10 days) and long-term (50 days) pseudo-experimental settings. Adopting two concepts (i.e. symmetric vs. asymmetric) from matrix theory in social network analysis, we categorized Facebook as a symmetric social…
Descriptors: Social Networks, Second Language Learning, Network Analysis, Sentences