Proceedings of the 2023 4th International Conference on Education, Knowledge and Information Management (ICEKIM 2023)

<Previous Article In Volume
Next Article In Volume>

Examining the Effects of Automated Writing Evaluation (AWE) Feedback on EFL Learners’ Revision and Writing Quality

Authors
Chen Shen1, *, Jiwei Tian2, Sheming Qu3
1Foreign Languages Department, Xi’an Jiaotong University City College, Xi’an, Shaanxi, China
2Air Traffic Control and Navigation College, Air Force Engineering University, Xi’an, Shaanxi, China
3School of English Teacher Education, Xi’an International Studies University, Xi’an, Shaanxi, China
*Corresponding author. Email: chenshen1109@163.com
Corresponding Author
Chen Shen
Available Online 30 June 2023.
DOI
10.2991/978-94-6463-172-2_60How to use a DOI?
Keywords
automated writing evaluation; revision scope; writing quality; lexical and syntactic complexity
Abstract

Recent years have witnessed an increasing interest in automated writing evaluation (AWE) systems, which provides students with immediate scores and comments based on the use of natural language processing, linguistic corpora, and educational metrics. The paper examines the potential effects of Pigai, an AWE system widely used in China, on EFL learners’ revision processes and writing products. Participants included 15 first-year students from a college in inland China. A textual analysis of the participants’ essays and the feedback they received was conducted to identify students’ revision scopes under the influence of AWE feedback. A quasi-experimental design was also employed to measure the lexical and syntactic complexity of first and final drafts to investigate the impact of automated feedback on writing quality. The results indicate that AWE is more helpful in the grammatical and lexical dimensions but does not significantly improve the syntax and higher levels.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 2023 4th International Conference on Education, Knowledge and Information Management (ICEKIM 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
30 June 2023
ISBN
978-94-6463-172-2
ISSN
2589-4900
DOI
10.2991/978-94-6463-172-2_60How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Chen Shen
AU  - Jiwei Tian
AU  - Sheming Qu
PY  - 2023
DA  - 2023/06/30
TI  - Examining the Effects of Automated Writing Evaluation (AWE) Feedback on EFL Learners’ Revision and Writing Quality
BT  - Proceedings of the 2023 4th International Conference on Education, Knowledge and Information Management (ICEKIM 2023)
PB  - Atlantis Press
SP  - 558
EP  - 566
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-172-2_60
DO  - 10.2991/978-94-6463-172-2_60
ID  - Shen2023
ER  -