An interactive analytic tool for peer-review exploration

Authors:
Wenting Xiong;Diane Litman;Jingtao Wang;Christian Schunn
Affiliations:
University of Pittsburgh, Pittsburgh, PA;University of Pittsburgh, Pittsburgh, PA;University of Pittsburgh, Pittsburgh, PA;University of Pittsburgh, Pittsburgh, PA
Venue:
Proceedings of the Seventh Workshop on Building Educational Applications Using NLP
Year:
2012

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Abstract

This paper presents an interactive analytic tool for educational peer-review analysis. It employs data visualization at multiple levels of granularity, and provides automated analytic support using clustering and natural language processing. This tool helps instructors discover interesting patterns in writing performance that are reflected through peer reviews.