The DOI matches its Crossref record; 44 of the 45 references it cites were found in a registry or an index.
Student engagement with automated written corrective feedback (AWCF) provided by Grammarly: A multiple case study
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In the citing paper
“Our study supports previous studies on improving writing engagement with AWCF (Koltovskaia, 2020; Zhang, 2020).”
From Application of Artificial Intelligence powered digital writing assistant in higher education: randomized controlled trial (2021) · cites this paper as Koltovskaia, 2020
In the citing paper
“Research has shown that students often accept automated feedback with little cognitive engagement, highlighting the risk of thoughtless reliance on AI tools (Koltovskaia, 2020).”
From Measuring undergraduate students’ reliance on generative AI during problem-solving: Scale development and validation. (2025) · cites this paper as Koltovskaia, 2020
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Metadata
- Authors
- Koltovskaia, S.
- Affiliations
- Oklahoma State University (US)
- Corresponding author
- Koltovskaia, Svetlana
- Venue
- Assessing Writing
- Publisher
- Elsevier BV
- Published
- 2020-04
- Volume
- 44
- Pages
- 100450
- ISSN
- 1075-2935 (ISSN-L)
- OpenAlex
- W3011057862
- Cited by
- 447
- References
- 45
- Citations by year
- 2026: 133 · 2025: 105 · 2024: 96 · 2023: 61 · 2022: 31 · 2021: 18 · 2020: 3
- FWCI
- 121.15
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Assessing Writing (publishedVersion)
- Topics
- Social Sciences › Arts and Humanities › Language and Linguistics › EFL/ESL Teaching and Learning
- Social Sciences › Education › Student Assessment and Feedback
- Social Sciences › Education › English Language Learning and Teaching
- Keywords
- Grammarly, student engagement, automated writing evaluation, second language writing, cognitive engagement, emotional engagement, behavioral engagement, feedback acceptance, technology dependence, draft revision
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