Stefan Brandle

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In this paper we discuss an imporant aspect of human tutorial dialogue –the use of acknowledgments–and present a critique of earlier work on the use of acknowledgments in synthesizing tutorial dialogues for Intelligent Tutoring Systems (Evens et al, 1993). Our goal is to establish a more solid theoretical base for studying and synthesizing tutorial(More)
CIRCSIM-Tutor uses natural language for both input and output. It can handle a variety of syntactic constructions and lexical items, including sentence fragments and misspelled words. It conducts a conversation with a student to help the student learn to solve a class of problems in cardiovascular physiology dealing with the regulation of blood pressure. We(More)
2000 iii ACKNOWLEDGMENT I am very grateful to my parents for their endless love and encouragement. I am deeply grateful to my wife for her love, understanding and patience. I love you, my children, JaeHyung and YounKyung. I have received a great deal of encouragement, advice and help from people associated with the CIRCSIM-Tutor research group. I am(More)
Evens, who mentored and encouraged me to pursue my degree from the first day I met her. Medical College. Their insight and enthusiasm have made a huge impact on my thinking of tutoring systems. I also want to thank my colleagues in Circsim-Tutor project. It was such a pleasure to working with them. Finally thank you Wenhui. You are the one who is always(More)
CIRCSIM-Tutor v. 3 differs from many other ITSs in that text planning is an integral part of the system rather than part of a natural-language front-end. It contains a global planner whose fundamental goal i s "generate a conversation resulting in the student knowing <concepts>" rather than "teach <concepts>." Constraints on the plan operators can be used(More)
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