Dr. John Stamper is DataShop Technical Director at the Pittsburgh Science of Learning Center and a member of the research faculty at the Human-Computer Interaction Institute at Carnegie Mellon University. His research centers on using student log data to improve intelligent tutoring systems. The PSLC DataShop has data from hundreds of thousands of students deriving from interactions with on-line course materials and intelligent tutoring systems. The data is fine-grained, with student actions recorded roughly every 20 seconds, and it is longitudinal, spanning semester or yearlong courses. Currently over 200 datasets are stored including over 42 million student actions. Most student actions are coded meaning they are not only graded as correct or incorrect, but are categorized in terms of the hypothesized competencies or knowledge components needed to perform that action. In 2010 John Stamper co-organized Educational Data Mining Challenge at KDD Cup, ACM SIGKDD 2010, the premier international forum for data mining researchers and practitioners from academia, industry, and government. This event was a great success and the lessons learned from it will be shared at EDM 2011.