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AIED
2011
Springer

Peering Inside Peer Review with Bayesian Models

8 years 10 months ago
Peering Inside Peer Review with Bayesian Models
Abstract. Instructors and students would benefit more from computersupported peer review, if instructors received information on how well students have understood the conceptual issues underlying the writing assignment. Our aim is to provide instructors with an evaluation of both the students and the criteria that students used to assess each other. Here we develop and evaluate several hierarchical Bayesian models relating instructor scores of student essays to peer scores based on two peer assessment rubrics. We examine model fit and show how pooling across students and different representations of rating criteria affect model fit and how they reveal information about student writing and assessment criteria. Finally, we suggest how our Bayesian models may be used by an instructor or an ITS.
Ilya M. Goldin, Kevin D. Ashley
Added 24 Aug 2011
Updated 24 Aug 2011
Type Journal
Year 2011
Where AIED
Authors Ilya M. Goldin, Kevin D. Ashley
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