An Intelligent Computer-Assisted Instruction system for cardiopulmonary resuscitation

Abstract

This study discusses the design and implementation of an Intelligent Computer-Assisted Instruction system for cardiopulmonary resuscitation. Utilizing artificial-intelligence techniques, the system combines a learning-while-doing environment with effective guidance of tutorial interactions. The user's knowledge of CPR procedures is tested at one of three experience levels, utilizing a randomly generated scenario. Using means-ends analysis, the recommended action is determined for each successive state in the scenario. This action is compared with the user's selection. If a difference exists, an hypothesis guides the tutoring module in the selection of a tutoring strategy. An on-line review of CPR procedures is available, as is a help function to provide direction to the user if needed. At the end of a session, a summary of the user's actions is provided.