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Paul John; Nina Wolf – CALICO Journal, 2020
Our study examines written corrective feedback generated by two online grammar checkers (GCs), Grammarly and Virtual Writing Tutor, and by the grammar checking function of Microsoft Word. We tested the technology on a wide range of grammatical error types from two sources: a set of authentic ESL compositions and a series of simple sentences we…
Descriptors: English (Second Language), Feedback (Response), Automation, Grammar
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Li, Zhi; Feng, Hui-Hsien; Saricaoglu, Aysel – CALICO Journal, 2017
This classroom-based study employs a mixed-methods approach to exploring both short-term and long-term effects of Criterion feedback on ESL students' development of grammatical accuracy. The results of multilevel growth modeling indicate that Criterion feedback helps students in both intermediate-high and advanced-low levels reduce errors in eight…
Descriptors: Feedback (Response), Criterion Referenced Tests, Computer Assisted Testing, Writing Tests
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Feng, Hui-Hsien; Saricaoglu, Aysel; Chukharev-Hudilainen, Evgeny – CALICO Journal, 2016
Thanks to natural language processing technologies, computer programs are actively being used not only for holistic scoring, but also for formative evaluation of writing. CyWrite is one such program that is under development. The program is built upon Second Language Acquisition theories and aims to assist ESL learners in higher education by…
Descriptors: Error Patterns, Grammar, Language Proficiency, English (Second Language)