Abstract—To make essay scoring more manageable,
Automated Writing Evaluation (AWE) programs have been
developed and widely used in China. It makes immediate
feedback possible and helps students do self-revision instantly.
This study attempts to explore the influences exerted by
automated scoring feedback on students writing revision and
analyze their revision process. with Juku. Pigai AWE system as
an example, the research involves 45 non-English major
students in Northwestern Polytechnical University and adopts
their writing samples to build a small corpus. With careful study
of their modification process and detailed analysis of their
writing, the results shows that apart from providing holistic
ideas on the article, Pigai system provides a specific review from
6 aspects as well. Besides, students can actively respond to the
feedbacks and constantly revise their writing according to the
feedback points, but mostly in technical details, morphemes,
words, and phrases, short sentences. Online modification
expands knowledge input, reduces language errors, improves
students’ writing quality, and effectively promotes autonomous
learning in students’ interaction with machines. However,
limitations existed as well, such as lack of effective feedback on
the content. Finally, the researcher proposed a “four-step”
writing and evaluation model for future improvement.
Index Terms—Automated writing evaluation, college English
writing, feedback, revision
Ximing Yuan is with Northwestern Polytechnical University, Xi’an,
Shaanxi, China. E-mail: yuanxm@nwpu.edu.cn
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Cite:Ximing Yuan, "The Impact of Automated Evaluation Feedback on Students’ Writing Revision," International Journal of Languages, Literature and Linguistics vol. 9, no. 6, pp. 526-529, 2023.