The Nature of Feedback: How Peer Feedback Features Affect Students' Implementation Rate and Quality of Revisions.

By Melissa Patchan, Christian D. Schunn, Richard Correnti. 2016

157 citations recorded by the source corpus.

Subfields: Education, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/d9cc62a10825881c75c2c7a4b5491b9a2f81bdf1

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Education

1. Yong Wu
2. C. Hunter
3. Rurik Tywoniw
4. Christian D. Schunn
5. Yao Xiong
6. Xiuyan Guo
7. Hongli Li
8. Kwangsu Cho

In Management Science and Operations Research

1. Christian D. Schunn
2. Yong Wu

Citations in the corpus

• From feedback to revisions: Effects of feedback features and perceptions (2020, background): “When authors fail to understand a comment, they generally choose to reject it (Nelson & Schunn, 2009; Patchan et al., 2016).”
• Does peer assessment promote student learning? A meta-analysis (2020, background): “This occurs in instances where students reflect on their own learning by providing feedback to others and improve their own work by incorporating feedback from others (Patchan, Schunn, and Correnti 2016).”