Identifying Content Patterns in Peer Reviews Using Graph-based Cohesion
نویسندگان
چکیده
Peer-reviewing allows students to think critically about a subject and also learn from their classmates’ work. Students can learn to write effective reviews if they are provided feedback on the quality of their reviews. A review may contain summative or advisory content, or may identify problems in the author’s work. Reviewers can be helped to improve their feedback by receiving automated content-based feedback on the helpfulness of their reviews. In this paper we propose a cohesion-based technique to identify patterns that are representative of a review’s content type. We evaluate our patternbased content identification approach on data from two peerreviewing systems—Expertiza and SWoRD. Our approach achieves an accuracy of 67.07% and an f -measure of 0.67.
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