Article ID Journal Published Year Pages File Type
378210 Artificial Intelligence in Medicine 2006 12 Pages PDF
Abstract

SummaryObjectiveWe introduce a web-based adaptive training simulator system to exercise cardiopulmonary resuscitation skills. Our purpose is to provide emergency physicians with an additional training tool for cardiac life support clinical cases, by integrating an adaptive learning environment with a web-based case simulator.Methods and materialsAdaptive systems reflect some features of the user in the user model and apply this model to adapt various visible aspects of the system to the user. Our system follows a stage-based learning model with several steps to personalize student learning. First, students learn the theory and content of life support and take computerized tests to evaluate their declarative knowledge of these areas. Second, they practice with clinical case examples and complete an exam at the appropriate level of difficulty to assess their practical knowledge. Finally, they train with additional clinical cases.Results and conclusionIn order to evaluate the usefulness of the system, we used it in two traditional advanced life support courses at the Jaen Hospital in Spain, as an additional and complementary tool within the course. Results show that the use of adaptation techniques can improve student performance.

Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
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