Currently, there is a clear trend towards updating technical regulations and improving control technologies in the field of maintenance and repair of car assemblies and parts. Therefore, there is a need for software and hardware that will provide updated information to specialists of car repair shops in a timely manner. This study is aimed at creating a computer-based network training system that will increase the effectiveness of training and reliability of results. The paper describes methods for verifying and identifying training results based on an analysis of user's behavioral parameters. As a result of the research, the authors have developed a system that can verify training results with a probability of more than 95%.