Pedagogic Exploration Into Adapting Automated Writing Evaluation and Peer Review Integrated Feedback Into Large-Sized University Writing Classes

Wei-Yan Li, Kevin Kau and Yi-Jiun Shiung

SAGE Open, 2023, vol. 13, issue 4, 21582440231209087

Abstract: Automated Writing Evaluation (AWE) software has been viewed as a promising tool for assisting writing. This study integrated AWE and its combination with peer review discussion into writing practice in a large college writing class in the Asian context. Adopting a mixed-method approach, this study employed a quantitative questionnaire to investigate how students perceived the integration at different writing stages and a qualitative interview to examine what prompted their quantitative decisions. The results show that the integration of AWE and peer review feedback significantly reinforced the perceived usefulness of AWE at the revision stage, and students with different proficiency levels had notably different attitudes toward AWE. Their writing anxieties intensified as they became increasingly aware of their own weaknesses during the writing process. Therefore, student writing challenges involve not only language proficiency and writing skills but also psychological variables.

Keywords: automated writing evaluation; academic writing; feedback; peer review; pedagogical techniques (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:sae:sagope:v:13:y:2023:i:4:p:21582440231209087

DOI: 10.1177/21582440231209087

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