Designing and evaluating an Ontology-based air traffic control digital knowledge learning system

Knowledge management system of flight safety and efficiency is very important for air traffic control staffs and drivers; and individuals with related knowledge is the main resource of the knowledge database. ATC staffs' abilities and techniques are key elements to avoid errors. This research, we design and build the course exams based on ADDIE model and SCORM (Sharable Content Object Reference Model). We use the concepts of Usability Engineering for ATCKLS (Air Traffic Controllers Knowledge Learning System) to assess the stage of heuristic evaluation, and we use PSSUQ (Post-Study System Usability Questionnaire) to verify the satisfaction of system usability. There are twelve graduates join in the experiment. We use questionnaires in this experiment, and then verify the acceptance from results of individual interviews. The experimental result shows high satisfaction. This system could help staff learn and access to related resources anytime, anywhere, and thus can effectively prevent possible threats of flight safety and human error.