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This final report contains two papers. The first describes statistical and cognitive models used to simulate student performance. The statistical model provides information about how the group of students as a whole performed on an identification task involving word-problem situations and shows differences among subgroups. The cognitive model is a connectionist network that simulates the performance of each student and yields details about how learning varied from one individual to another. The second paper outlines a hybrid model of schema knowledge that joins a connectionist network with a production system. Details of the model are provided, and an example of its output is presented.