Automated Written Corrective Feedback in Research Paper Revision

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A01=Qian Guo
A01=Ruiling Feng
A01=Yuanfang Hua
academic English writing
academic writing
Accurate Feedback
Author_Qian Guo
Author_Ruiling Feng
Author_Yuanfang Hua
automated feedback in academic writing
Awe System
Behavioral Engagement
Category=CBX
Category=CFB
Cohen's Kappa
Cohen’s Kappa
Control Group Students
Correction Suggestions
EFL doctoral students
EFL Researcher
EFL Teaching Experience
Engagement Study
English as a second language
eq_bestseller
eq_dictionaries-language-reference
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
ESL
feedback accuracy
Feedback Quality
FISA
Grammarly Feedback
In-text Citation
language and reading development
language assessment technology
Metalinguistic Explanations
PPy
PRC1 Complex
Research Writing
Revision Operations
scholarly publishing support
Screen Recordings
Stimulated Recall Data
Student Engagement
student engagement research
System-centric Evaluation
Treatment Control Difference
Treatment Group Students

Product details

  • ISBN 9781032446707
  • Weight: 453g
  • Dimensions: 156 x 234mm
  • Publication Date: 28 Feb 2023
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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This book studies the use of an automated writing evaluation (AWE) systems in research paper revision for publication purposes by Chinese doctoral students.

Research writing skills are essential for achieving academic status, and AWE tools can be a great companion on the journey. However, AWE tools may provide a disservice if users do not stay alert to inaccurate feedback, inaccurate correction suggestions, and missed errors. The effects of accurate feedback on revision outcomes have been the focus of a number of AWE studies, but student engagement and revision results in cases of inaccurate feedback and missed errors have rarely been investigated. Such investigations can provide practical advice on using automated feedback in research writing. This book provides a comprehensive evaluation of AWE tools and profiles student engagement with tool use in cases of different qualities of feedback. It can empower novice scholars and improve the effectiveness of academic writing instructors. The findings can also inform AWE system developers about possible ways of system improvement for research paper writing.

The book will be particularly useful to students and scholars of language and linguistic studies, education, and academic English writing.

Qian Guo is a professor of applied linguistics and language education at Tsinghua University. Her research interests include English as a second language (ESL) teaching and testing, language and reading development, and English for research publication purposes.

Ruiling Feng is an assistant professor of English at Tianjin Normal University and doctoral candidate at Tsinghua University. Her research interests lie in academic writing, virtual exchange, and second language acquisition.

Yuanfang Hua is a doctoral candidate at Tsinghua University. Her research currently focuses on ESL (English as a second language) academic writing and corpus linguistics.

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