Data mining is known to have a potential for predicting user performance. However, there are few studies that explore its potential for predicting student behavior in a procedural training environment. This paper presents a collective student model, which is built from past student logs. These logs are first grouped into clusters. Then, an…

New high-frequency, automated data collection and analysis algorithms could offer new insights into complex learning processes, especially for tasks in which students have opportunities to generate unique open-ended artifacts such as computer programs. These approaches should be particularly useful because the need for scalable project-based and…

This inquiry examines the composing process of twelfth-grade writers, using a case study method. Eight twelfth graders were asked, in four sessions, each, to give autobiographies of their writing experiences and to compose aloud three times in the presence of a tape recorder and an investigator. Four hypotheses were formulated: (1) Twelfth-grade…