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Direct linkJamie Costley; Han Zhang; Matthew Courtney; Galina Shulgina; Matthew Baldwin; Mik Fanguy – Computer Assisted Language Learning, 2025
While the use of collaborative peer editing is widespread in some online learning contexts, little is known about how constituent editing behaviours impact student writing quality when using shared online documents as the mediating tool. Therefore, the present study (n = 176) examines the effects of English language learners' peer editing…
Descriptors: Editing, Peer Evaluation, English (Second Language), Second Language Learning
Pham, V. P. Ho – Computer Assisted Language Learning, 2021
Earlier research efforts have succeeded in training students to enhance their skills commenting on peer writing and using peer and lecturer comments to revise their writing, but few studies have investigated (1) the effect of the lecturer's e-comments on the quality of peer e-comments, and (2) the relative effectiveness of lecturer and peer…
Descriptors: Feedback (Response), Graduate Students, Peer Evaluation, Revision (Written Composition)
Chen, Hao-Jan Howard; Lai, Shu-Li; Lee, Ken-Yi; Yang, Christine Ting-Yu – Computer Assisted Language Learning, 2023
Knowledge of collocations is essential for English academic writing. However, there are few academic collocation referencing tools available and there is a pressing need to develop more. In this paper, we will introduce the ACOP (Academic Collocations and Phrases Search Engine), a newly developed corpus-based tool to search large academic corpora.…
Descriptors: Academic Language, English for Academic Purposes, Phrase Structure, Computational Linguistics
