Back to Search Start Over

The Effects of Languaging in Response to Automated Written Correction for Grammar Accuracy Improvement

Authors :
Xu, Wenwen
Kim, Ji-Hyun
Source :
English Teaching. Spr 2023 78(1):225-245.
Publication Year :
2023

Abstract

This study explored the role of written languaging (WL) in response to automated written corrective feedback (AWCF) in L2 accuracy improvement in English classrooms at a university in China. A total of 254 freshmen enrolled in intermediate composition classes participated, and they wrote 4 essays and received AWCF. A half of them engaged in WL after receiving correction, while the other half did not. To measure whether WL could contribute to L2 accuracy improvement, error correction tests were conducted three times. AWCF targeted all types of errors, but the study focused on investigating six language features (nouns, conjunctions, subject-verb agreement, sentence constituents, articles, and prepositions) known as the most frequent errors intermediate students make. The results proved that WL had a positive effect on accuracy improvement overall. However, when individual language features were considered separately, the effects were not the same. The inherent complexity of the features along with L1 influence appeared to affect the effects of WL for accuracy improvement.

Details

Language :
English
ISSN :
1017-7108 and 2671-9312
Volume :
78
Issue :
1
Database :
ERIC
Journal :
English Teaching
Publication Type :
Academic Journal
Accession number :
EJ1385333
Document Type :
Journal Articles<br />Reports - Research<br />Tests/Questionnaires