Extracting Information from Natural Language Input to an Intelligent Tutoring System
نویسندگان
چکیده
We have constructed a new module to process student natural language input to CIRCSIM-Tutor, an intelligent tutoring system designed to help medical students learn to solve problems involving the negative feedback process that regulates blood pressure in the human body. CIRCSIM-Tutor spends most of its time engaging the student in a natural language-based dialogue. The new input understander uses an information extraction approach that is robust enough to handle freeform student input. We describe an evaluation of CIRCSIM-Tutor by forty-two students at Rush Medical College, with particular emphasis on the performance of the input understander. MICHAEL S. GLASS and MARTHA W. EVENS 88
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