Lessons on Using ITS Data to Answer Educational Research Questions
Cecily Heiner, Joseph E. Beck, Jack Mostow · 2004
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.