An Interactive, Intelligent Tutoring Systems for Prediction Tasks.
Final rept. 16 Apr 93-14 Apr 95,
TEXAS UNIV AT AUSTIN DEPT OF COMPUTER SCIENCES
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A major limitation of current advisory systems e.g., intelligent tutoring systems and expert system is their restricted ability to give explanations. The goal of our research is to develop and evaluate a flexible explanation facility, or that can dynamically generate responses to questions not anticipated by the systems designers and that can tailor these responses to individual users. To achieve this flexibility, we are developing a large knowledge base, viewpoint construction facility, and a modeling facility. In the long term we plan to build and evaluate advisory systems with flexible explanation facilities for scientists in numerous domains. In the short term, we are focusing on a single complex domain in biological science, and we are working toward two important milestones 1 building and evaluating an advisory system with a flexible explanation facility for freshman-level students studying biology, and 2 developing general methods and tools for building similar explanation facilities in other domains.
- Computer Programming and Software