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Automated Tracking of Student Revisions in Response to Teacher Feedback in EFL Writing: Technological Feasibility and Teachers' Perspectives

Authors :
Gary Cheng
Gloria Shu-Mei Chwo
Wing Shui Ng
Source :
Interactive Learning Environments. 2023 31(8):5236-5260.
Publication Year :
2023

Abstract

Teacher feedback can be useful in helping English as Foreign Language (EFL) students revise their draft writing. Investigating how EFL students respond to various types of teacher feedback in draft revision has been regarded as an important field of study. However, such investigation is time-consuming and labour-intensive, which limits its practical application in EFL writing classes. To address this issue, this study was designed to explore an initiative to use a systematic method in tracking and analysing student revisions in response to teacher feedback. Firstly, an automated tracking method was proposed and applied to examine the technical feasibility of analysing the effects of teacher feedback on student revisions for 75 EFL undergraduate students from two Hong Kong universities. Secondly, the study explicitly sought to explore teachers' perspectives on the automated tracking method by interviews. The quantitative results suggest that the automated tracking method can analyse teacher feedback and student revision with high accuracy compared to the manual analysis, while the qualitative results shed light on the benefits and limitations of the method. Overall, our findings provide a basis for further research on harnessing the potential of technology to support teachers in developing their professional feedback practice for EFL writing.

Details

Language :
English
ISSN :
1049-4820 and 1744-5191
Volume :
31
Issue :
8
Database :
ERIC
Journal :
Interactive Learning Environments
Publication Type :
Academic Journal
Accession number :
EJ1404428
Document Type :
Journal Articles<br />Reports - Research
Full Text :
https://doi.org/10.1080/10494820.2021.2001539