Abstract
In the traditional way, the training courses of Emergency Response Center (ERC) are depending on instructors and paper materials to educate under-trained workers. The lack of instructors and complex of training materials may cause wrong decisions in some situations and may result in a large damage to the semiconductor companies. Via computer-aided training system, the workers’ learning effectiveness and efficiency can be improved. The advantage of this system can let trainees learn all knowledge and skills about their jobs through the training program and well-designed interface, and that could decrease the loading of trainees. The system is based on an expert system. In the other hand, it is not only for training but has a potential ability for decision support. The objective of this research was to construct a system to support fire situation handling training. Trainees can learn the procedure and skills to solve fire situation by the computer program. All material about the fire situation handling was included in the system. Therefore, trainees can learn by themselves without human instructors, and the training will be more flexible for trainees and manager of ERC. The development of the system was following the research procedure. First, interview the staffs of ERC and collect training materials of fire situation handling. Second, program the training course and expert system in the computer. For evaluation of the training system, an experiment was conducted. The subjects are divided into two groups. One group received traditional training and another group used computer-aided system for training. All subjects were asked to finish several tasks for evaluating performance. After the experiment, subjects were asked about their opinions of the experiment. From the results of the experiment, one could see that performances of declarative knowledge memory of the two groups were not different, but computer aided tutoring system had better performance in procedural knowledge memory. In the conclusion, contributions and limitations of the research and future work were described. In the future, the system can be applied to all emergency issues for ERC to make it more appropriate and powerful.