Using learning analytics to understand student perceptions of peer feedback

作者：

Highlights：

• Students perceiving feedback as extremely useful, express more gratitude.

• Students request more specific, justified or constructive, rather than kind feedback.

• Backward evaluation might be used to determine the usefulness of a rubric.

• Large datasets need context data to facilitate interpretation of peer feedback.

摘要

•Students perceiving feedback as extremely useful, express more gratitude.•Students request more specific, justified or constructive, rather than kind feedback.•Backward evaluation might be used to determine the usefulness of a rubric.•Large datasets need context data to facilitate interpretation of peer feedback.

论文关键词：Peer assessment,Feedback,Backward evaluation,Learning analytics

论文评审过程：Received 16 January 2020, Revised 3 November 2020, Accepted 6 December 2020, Available online 14 December 2020, Version of Record 31 December 2020.

论文官网地址：https://doi.org/10.1016/j.chb.2020.106658