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Some useful design tactics for mining ITS data
J. Mostow
Proceedings of the ITS2004 Workshop on Analyzing Student-Tutor Interaction Logs to Improve Educational Outcomes, August, 2004.

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Mining data logged by intelligent tutoring systems has the potential to reveal valuable discoveries. What characteristics make such data conducive to mining? What variables are informative to compute? Based on our experience in mining data from Project LISTEN's Reading Tutor, we discuss how to collect machine-analyzable data and formulate it into experimental trials. The resulting concepts and tactics mark out a roadmap for the emerging area of tutorial data mining, and may provide a useful vocabulary and framework for characterizing past, current, and future work in this area.

Associated lab/group: Project LISTEN
Associated project: Project LISTEN's Reading Tutor

Number of pages: 8

J. Mostow, "Some useful design tactics for mining ITS data," Proceedings of the ITS2004 Workshop on Analyzing Student-Tutor Interaction Logs to Improve Educational Outcomes, August, 2004.

@inproceedings{Mostow_2004_4994,
   author = "Jack Mostow",
   title = "Some useful design tactics for mining ITS data",
   booktitle = "Proceedings of the ITS2004 Workshop on Analyzing Student-Tutor Interaction Logs to Improve Educational Outcomes",
   month = "August",
   year = "2004"
}