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Papers by Pamela Jordan

Research paper thumbnail of Pilot Test of a Natural-Language Tutoring System for Physics That Simulates the Highly Interactive Nature of Human Tutoring

Lecture Notes in Computer Science, 2013

This poster describes Rimac, a natural-language tutoring system that engages students in dialogue... more This poster describes Rimac, a natural-language tutoring system that engages students in dialogues that address physics concepts and principles, after students have solved quantitative physics problems. We summarize our approach to deriving decision rules that simulate the highly interactive nature of human tutoring, and describe a pilot test that compares two versions of Rimac: an experimental version that deliberately executes these decision rules within a Knowledge Construction Dialogue (KCD) framework, and a control KCD system that does not intentionally execute these rules.

Research paper thumbnail of Reconstructed Intentions in Collaborative Problem Solving Dialogues Pamela W. Jordan Intelligent systems Program University of Pittsburgh

Research paper thumbnail of Pilot Test of a Natural-Language Tutoring System for Physics That Simulates the Highly Interactive Nature of Human Tutoring

Lecture Notes in Computer Science, 2013

This poster describes Rimac, a natural-language tutoring system that engages students in dialogue... more This poster describes Rimac, a natural-language tutoring system that engages students in dialogues that address physics concepts and principles, after students have solved quantitative physics problems. We summarize our approach to deriving decision rules that simulate the highly interactive nature of human tutoring, and describe a pilot test that compares two versions of Rimac: an experimental version that deliberately executes these decision rules within a Knowledge Construction Dialogue (KCD) framework, and a control KCD system that does not intentionally execute these rules.

Research paper thumbnail of Reconstructed Intentions in Collaborative Problem Solving Dialogues Pamela W. Jordan Intelligent systems Program University of Pittsburgh

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