measuring affective language in known peer feedback on l2 academic writing courses: a novel approach

Clicks: 198
ID: 224935
2016
Article Quality & Performance Metrics
Overall Quality Improving Quality
0.0 /100
Combines engagement data with AI-assessed academic quality
AI Quality Assessment
Not analyzed
Abstract
Publishing scientific articles in English is often a prerequisite for academic success. Thus, developing effective pedagogies to support Estonian university students develop writing skills in L2 (English) is becoming increasingly more important. One such method is by forming small writing groups where each member periodically gives written feedback on their colleague’s writing. Here, the affective language used in the written communication between the reviewer and writer may strongly influence their relationship. This in turn may have a significant impact on the writing process. This study describes the development of a novel taxonomy to measure the cumulative effect of affective factors by accounting for the uniqueness of each individual, and how they project their distinct personalities or ‘social presence’ to build rapport within the group. The hypothesis is that individuals exhibiting a high social presence are more likely to produce higher-quality feedback and more improved subsequent texts than those with a lower social presence. The paper concludes by illustrating how this taxonomy can be used to both test this hypothesis and gain further insight into the peer feedback process in future studies.
Reference Key
yallop2016eestimeasuring Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Roger Michael Alan Yallop
Journal Journal of food protection
Year 2016
DOI
10.5128/ERYa12.17
URL
Keywords

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.