Instructional planning in an intelligent tutoring system: combining global lesson plans with local discourse control
C4.5: programs for machine learning
C4.5: programs for machine learning
Delivering hints in a dialogue-based intelligent tutoring system
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
The Uses of Multiple Student Inputs in Modeling and Lesson Planning in CAI and ICAI Programs
ICCAL '92 Proceedings of the 4th International Conference on Computer Assisted Learning
Self-Adjusting Curriculum Planning in Sherlock II
ICCAL '92 Proceedings of the 4th International Conference on Computer Assisted Learning
A Curriculum Planning Model for an Intelligent Tutoring System
Proceedings of the Twelfth International Florida Artificial Intelligence Research Society Conference
The Berkeley UNIX Consultant Project
The Berkeley UNIX Consultant Project
International Journal of Artificial Intelligence in Education
Artificial Intelligence in Medicine
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The tutoring protocol controls the interaction between the tutor and the student in a tutoring session. Our goals are to understand human tutoring so that we can emulate it better and to discover which tutoring protocol gives the best results in teaching causal reasoning. We used C5.0 to analyze a set of human tutoring transcripts to discover how and when human tutors switch protocols. In order to understand which students prefer which protocols, we compared the students' performance using CIRCSIM-Tutor with their responses to a questionnaire about the program.