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Validating an 'unusual' approach to automated formative feedback

[Abstract] 
Type Thesis / Dissertation
Author Mollaei, Hoda.
Second author McCarthy, Philip. Thesis Advisor
Highland, Kristen. Thesis Advisor
Pages The page numbers are unavailable
Dissertation Note Master. Teaching English to Speakers of Other Languages (TESOL). American University of Sharjah. College of Arts and Sciences. 2025. United Arab Emirates. Sharjah. P. O. Box: 26666. T: 0097165152412. F: 0097165585067 . aamer@aus.edu. https://www.aus.edu/cas
Descriptors Feedback  -  Academic writing  -  Writing evaluation  -  Automation  -  Critical thinking  -  Personal autonomy
Language of document English
Country United Arab Emirates
This paper addresses the validity of Auto-Peer, an Automated Writing Evaluation (AWE) tool designed to provide formative feedback by highlighting ‘unusual’ elements in student writing. Unlike traditional AWEs, which tend to focus on errors, Auto Peer encourages critical thinking and self-assessment by prompting students to modify their text or justify their choices. I analyzed 134 student papers and found that the number of highlighted issues by Auto Peer significantly correlated with human evaluations of writing quality. This suggests that Auto-Peer's approach of flagging the ‘unusual’ can be an effective indicator of student writing quality. The paper's findings are of interest to educators and researchers seeking to promote student autonomy and feedback literacy through technology-aided writing instruction. (Author’s abstract)

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Cite   (APA) Style Always review your references for accuracy and make any necessary corrections before using:
Mollaei, Hoda. (2025). Validating an 'unusual' approach to automated formative feedback (Master). American University of Sharjah College of Arts and Sciences، United Arab Emirates. Retrieved from search.shamaa.org