Ilya Goldin is writing a dissertation on computer-supported peer review in education. The dissertation examines how students may learn from the act of giving feedback (rather than receiving it), and whether such learning may be modeled computationally. This computational model is implemented in Comrade, the peer review software that has been created as part of the dissertation. Comrade has been used in three courses at the University of Pittsburgh.
Peter Brusilovsky leads several projects that explore the application of social intelligence to a range of tasks from hypertext navigation assistance to community authoring of educational content. Starting many years ago in the area of intelligent tutoring systems and intelligent interfaces, he is looking for the ways to extend the power of intelligent systems by harnessing the collective power of a community of users.
Chris Schunn has developed a widely used system for online peer review of writing (SWoRD), and has conducted a wide range of studies of the ways in which peer review improves student writing, including current work on tools for incorporating NLP and ITS research. In addition, he has run numerous small, medium, and large international conferences in cognitive science, computational modeling, and the learning sciences.
Kevin Ashley regularly employs computer-supported peer-review in his law courses in which students engage in ill-defined problem-solving. He has helped to propose and design techniques for using AI to provide guidance for peer reviewers and for extending peer-review to include feedback on domain content as well as writing composition.
I-Han Hsiao has been working on adaptive educational systems at Personalized Adaptive Web Systems Lab, University of Pittsburgh since 2006. She is also involved in development and research related to community authoring, assessment/self-assessment and peer-review throughout her PhD studies. Her research focuses on employing adaptive peer-review technologies in the context of computer science education.