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Well-run organizations collect, archive and analyze data relating to the effectiveness of their important processes. Educational institutions discard a wealth of student scores that could be analyzed. Each score contains important information about the student as well as the item (i.e., problem or question). This paper describes our project to develop an outcomes-based assessment system that mines per-item scores to track each student's skills and knowledge. Statistical inference techniquesdoi:10.1145/1089786.1089802 dblp:conf/icer/WintersP05 fatcat:cvxwrhhw4bhtri6qine5c2buvq