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Kawashima, 2023 - Google Patents

Student perceptions of Grammarly, teacher's indirect and direct feedback: Possibility of machine feedback

Kawashima, 2023

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Document ID
7098947604066641266
Author
Kawashima T
Publication year
Publication venue
The JALT CALL Journal

External Links

Snippet

Empirical data on automated writing evaluation (AWE) has been accumulating over the past several years, but previous research has concentrated on the impact of using machine feedback alone, and only a little is known about how learners view the usage of AI-assisted …
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