The Robotics Institute

Carnegie Mellon Robotics Institute

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Abstract

Some tutoring system projects have completed empirical studies of student-tutor interaction by manually collecting data while observing fewer than a hundred students. Analyzing larger, automatically collected data sets requires new methods to address new problems. We share lessons on design, analysis, presentation, and iteration. Our lessons are based on our experience analyzing data from Project LISTEN's Reading Tutor, which automatically collected tutorial data from hundreds of students. We hope that these lessons will help guide analysis of similar datasets from other intelligent tutoring systems.

Notes

Associated Lab(s) / Group(s): Project LISTEN

Associated Project(s): Project LISTEN's Reading Tutor

Number of pages: 9

Text Reference

Cecily Heiner, Joseph E. Beck, and Jack Mostow, "Lessons on using ITS data to answer educational research questions," Proceedings of the ITS2004 Workshop on Analyzing Student-Tutor Interaction Logs to Improve Educational Outcomes, August, 2004, pp. 1 - 9.

BibTeX Reference

@inproceedings{Heiner_2004_4995,
   author = "Cecily Heiner and Joseph E Beck and Jack Mostow",
   title = "Lessons on using ITS data to answer educational research questions",
   booktitle = "Proceedings of the ITS2004 Workshop on Analyzing Student-Tutor Interaction Logs to Improve Educational Outcomes",
   pages = "1 - 9",
   month = "August",
   year = "2004",
}

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