An ICAI (Intelligent Computer Aided Instruction) Architecture for Troubleshooting in Complex Dynamic Systems
Abstract
AHAB is an architecture for simulator-based ICAI (Intelligent Computer Aided Instruction) programs to teach troubleshooting in complex, dynamic environments. The architecture posits three elements of a computerized instructor: The task model, the student model, and the instructional module. The task model is a prescriptive model of expert performance that uses symptomatic and topographic search strategies to provide students with directed problem- solving aids. The student model is a descriptive model of student performance in the context of task model. This student model compares the student and task models, critiques student performance in the context of the task model. This student model compares the student and task models, critiques student performance, and provide interactive performance feedback. Finally, the instructional module coordinates information presented by the instructional media, the task model, and the student model so that each student receives individualized instruction. Concept and meta-concept knowledge that supports these elements is contained in frames and production rules, respectively. The results of an experimental evaluation support the hypothesis that training with an adaptive online system built using the AHAB architecture produces better performance than training using simulator practice alone, at least with unfamiliar problems. Furthermore, it is not sufficient to develop an expert strategy and present it to students using offline materials. The training is most effective if it adapts to individual student needs. Keywords: Fault diagnosis, AHAB computer programs.
Document Details
- Document Type
- Technical Report
- Publication Date
- Dec 01, 1988
- Accession Number
- ADA205434
Entities
People
- Christime M. Mitchell
- Janet L. Fath
- T. Govindaraj
Organizations
- Georgia Tech