4,808
Views
16
CrossRef citations to date
0
Altmetric
Articles

Preservice mathematics teachers’ beliefs about peer feedback, perceptions of their peer feedback message, and emotions as predictors of peer feedback accuracy and comprehension of the learning task

ORCID Icon, &
Pages 139-154 | Received 04 Feb 2018, Accepted 29 May 2018, Published online: 27 Sep 2018
 

Abstract

Peer feedback is increasingly used to train assessment skills in teacher-training programs. However, studies investigating the roles of peer feedback providers’ beliefs about peer feedback provision, their perceptions of their peer feedback message and their experienced emotions are still limited. This study aimed to explore how peer feedback accuracy and providers’ comprehension of the learning task were related to these characteristics. Analysis of peer feedback provided by 53 preservice mathematics teachers revealed that peer feedback accuracy was predicted by cognitive-verification, cognitive elaboration and self-efficacy types of peer feedback. Providers’ perceptions of their peer feedback message and anxiety also predicted peer feedback accuracy. No evidence was found that peer feedback related beliefs and perceptions predicted providers’ comprehension of the learning task.

Acknowledgments

The project was funded by the Elite Network of Bavaria, an initiative of the Bavarian Ministry of Education, Science and the Arts (Project number: K-GS-2012-209).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 830.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.