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Full-Text Articles in Education
Toward Better Training In Peer Assessment: Does Calibration Help?, Yang Song, Zhewei Hu, Edward F. Gehringer, Julia Morris, Jennifer Kidd, Stacie Ringleb
Toward Better Training In Peer Assessment: Does Calibration Help?, Yang Song, Zhewei Hu, Edward F. Gehringer, Julia Morris, Jennifer Kidd, Stacie Ringleb
Teaching & Learning Faculty Publications
For peer assessments to be helpful, student reviewers need to submit reviews of good quality. This requires certain training or guidance from teaching staff, lest reviewers read each other's work uncritically, and assign good scores but offer few suggestions. One approach to improving the review quality is calibration. Calibration refers to comparing students' individual reviews to a standard—usually a review done by teaching staff on the same reviewed artifact. In this paper, we categorize two modes of calibration for peer assessment and discuss our experience with both of them in a pilot study with Expertiza system.
Probing The Landscape: Toward A Systematic Taxonomy Of Online Peer Assessment Systems In Education, Dymytro Babik, Edward F. Gehringer, Jennifer Kidd, Ferry Pramudianto, David Tinapple
Probing The Landscape: Toward A Systematic Taxonomy Of Online Peer Assessment Systems In Education, Dymytro Babik, Edward F. Gehringer, Jennifer Kidd, Ferry Pramudianto, David Tinapple
Teaching & Learning Faculty Publications
We present the research framework for a taxonomy of online educational peer-assessment systems. This framework enables researchers in technology-supported peer assessment to understand the current landscape of technologies supporting student peer review and assessment, specifically, its affordances and constraints. The framework helps identify the major themes in existing and potential research and formulate an agenda for future studies. It also informs educators and system design practitioners about use cases and design options.