The Impact of Automated Evaluation Feedback on Students’ Writing Revision

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.