Proceedings of the 2022 3rd International Conference on Language, Art and Cultural Exchange(ICLACE 2022)

The Effect of Automated Corrective Feedback On L2 Writing in POS Categories

Authors
Yingxue Wangwonderfulcristina@163.com
Jiamusi University, Busan University of Foreign Studies
Corresponding Author
Available Online 14 July 2022.
DOI
10.2991/assehr.k.220706.093How to use a DOI?
Keywords
Automated Corrective Feedback; Automated Writing Evaluation; L2 Writing; POS
Abstract

Automated corrective feedback is the processing of the Computer-Assisted Language Learning used in L2 English writing assessment that is ubiquitous in current L2 practice and research (e.g., Chen, 2016; Chukharev & Saricaoglu,2016; Gao et al, 2020). This research examined the effect of automated corrective feedback of Pigainet as a kind of Computer-Assisted language learning instruments in English writing revision. Data were collected from 591 drafts of 31 participants who submitted their drafts on Pigainet and coded as errors frequency ratios according to POS category. Findings suggested that Pigainet could help participants revise their writing errors of Article, Verb, Preposition, and Noun.

Copyright
© 2022 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license.

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Volume Title
Proceedings of the 2022 3rd International Conference on Language, Art and Cultural Exchange(ICLACE 2022)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
14 July 2022
ISBN
978-94-6239-592-3
ISSN
2352-5398
DOI
10.2991/assehr.k.220706.093How to use a DOI?
Copyright
© 2022 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license.

Cite this article

TY  - CONF
AU  - Yingxue Wang
PY  - 2022
DA  - 2022/07/14
TI  - The Effect of Automated Corrective Feedback On L2 Writing in POS Categories
BT  - Proceedings of the 2022 3rd International Conference on Language, Art and Cultural Exchange(ICLACE 2022)
PB  - Atlantis Press
SP  - 492
EP  - 495
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.220706.093
DO  - 10.2991/assehr.k.220706.093
ID  - Wang2022
ER  -