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ITS
2010
Springer

Identifying Problem Localization in Peer-Review Feedback

14 years 4 months ago
Identifying Problem Localization in Peer-Review Feedback
Abstract. In this paper, we use supervised machine learning to automatically identify the problem localization of peer-review feedback. Using five features extracted via Natural Language Processing techniques, the learned model significantly outperforms a standard baseline. Our work suggests that it is feasible for future tutoring systems to generate assessments regarding the use of localization in student peer reviews.
Wenting Xiong, Diane J. Litman
Added 19 Jul 2010
Updated 19 Jul 2010
Type Conference
Year 2010
Where ITS
Authors Wenting Xiong, Diane J. Litman
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