Machine Classification of Peer Comments in Physics

As part of an ongoing project where SWoRD, a Web-based reciprocal peer review system, is used to support disciplinary writing, this study reports machine learning classifications of student comments on peer writing collected in the SWoRD system. The student comments on technical lab reports were first manually decomposed and coded as praise, criticism, problem detection, solution suggestion, summary, or off-task. Then TagHelper 2.0 was used to classify the codes, using three frequently used algorithms: Na

• Type: Conference
• Year: 2008
• Where: EDM
• Authors: Kwangsu Cho
• Keywords: Data Mining, EDM 2008, Student Comments, Support Vector Machine, Web-based Reciprocal Peer