Peer Corrective Feedback Practices and Perceptions among Chinese Learners of English

Peer interaction and peer corrective feedback (PCF) have been continuing interest to both practitioners and researchers. Empirical studies in various contexts have shown that factors like proficiency levels and communication styles can impact peer interaction and the provision of PCF (e.g., Choi & Iwashita, 2016; Nguyen & Newton, 2020). However, existing studies on Chinese learners have largely focused on their attitudes toward PCF. To fill this gap, this study explores Chinese learners’ practices and perceptions regarding how their perceived proficiency level and communication style affect PCF. Twenty-seven Chinese international students at an Australian university were assigned three proficiency groups based on the pre-task proficiency assessment. They completed group interaction tasks with participants of different and similar proficiency. Recorded and transcribed group interactions were coded for language-related episodes (LREs) and PCF. Quantitative analysis showed no significant effect of proficiency level on the number of LREs and PCF. Post-task interviews revealed that Chinese learners mostly had positive feelings about PCF. However, some hesitation was noted, which was linked to the learners’ perceived proficiency levels. Learners used indirect and inclusive language to soften negative comments. This study highlights how proficiency levels, communication styles, and learner perceptions affect PCF. Understanding these factors can help educators improve teaching methods and create more effective collaborative learning environments for Chinese learners.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-01
DOI
https://doi.org/10.5281/zenodo.15096516
Primary Topic
EFL/ESL Teaching and Learning
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Peer Corrective Feedback Practices and Perceptions among Chinese Learners of English

Zenodo (CERN European Organization for Nuclear Research)
EFL/ESL Teaching and Learning
article

Peer Corrective Feedback Practices and Perceptions among Chinese Learners of English

article en

Abstract

Peer interaction and peer corrective feedback (PCF) have been continuing interest to both practitioners and researchers. Empirical studies in various contexts have shown that factors like proficiency levels and communication styles can impact peer interaction and the provision of PCF (e.g., Choi & Iwashita, 2016; Nguyen & Newton, 2020). However, existing studies on Chinese learners have largely focused on their attitudes toward PCF. To fill this gap, this study explores Chinese learners’ practices and perceptions regarding how their perceived proficiency level and communication style affect PCF. Twenty-seven Chinese international students at an Australian university were assigned three proficiency groups based on the pre-task proficiency assessment. They completed group interaction tasks with participants of different and similar proficiency. Recorded and transcribed group interactions were coded for language-related episodes (LREs) and PCF. Quantitative analysis showed no significant effect of proficiency level on the number of LREs and PCF. Post-task interviews revealed that Chinese learners mostly had positive feelings about PCF. However, some hesitation was noted, which was linked to the learners’ perceived proficiency levels. Learners used indirect and inclusive language to soften negative comments. This study highlights how proficiency levels, communication styles, and learner perceptions affect PCF. Understanding these factors can help educators improve teaching methods and create more effective collaborative learning environments for Chinese learners.

Zenodo (CERN European Organization for Nuclear Research)
The University of Queensland (AU)
Quality Education
Openalex Percentile: Top 51%
EFL/ESL Teaching and Learning
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.