Improving Learning from Peer Review with NLP and ITS Techniques
Summary
SWoRD is a web-based system to support peer reviewing in a wide variety of disciplinary classroom settings. One result of prior research with SWoRD is an enormous database of written materials that are ripe for analysis and exploitation in support of research on natural language processing (NLP), intelligent tutoring systems (ITS), cognitive science, educational data mining, and improving learning from peer review. In this project we will both analyze existing SWoRD-generated data, and develop an improved version of SWoRD for use in further experimentation. In particular, we will explore using SWoRD to teach substantive skills in domains involving ill-defined problems, and will explore techniques for automatically identifying key concepts and flagging issue understanding. Second, given a SWoRD toolkit of what can be accomplished robustly with peer interactions, we will explore the use of natural language processing to automatically support and improve those interactions. Finally, we will develop a new version of the SWoRD program that incorporates improved features and control facilities, and that incorporates Artificial Intelligence techniques to improve learning in a variety of ways.
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