John Champaign

John Champaign is a researcher with a PhD in Computer Science from the University of Waterloo (2012). His work focuses on peer-based intelligent tutoring systems, trust modeling in social networks, and educational technology. He has collaborated extensively with Robin Cohen and others on projects involving adaptive learning systems and collaborative filtering models. Publications span venues like ACM Transactions on Intelligent Systems and Technology, Social Network Analysis and Mining, and IEEE BigData. His research bridges machine learning, educational informatics, and network analysis to improve healthcare systems and online learning platforms.

• Key collaborators include Robin Cohen, Gordon I. McCalla, and David E. Pritchard
• Research emphasizes corpus-oriented approaches and peer-driven learning
• Notable contributions include frameworks for trust-based web object filtering and MOOC performance analysis