Methods of the quality assurance applied at the remote laboratory selection

Quality assurance principles applied at the remote laboratory network there are similarly with the same principles applied at the production process, which has as a result products used by society. Remote experiment is a product used by learners, a part of our society, with the main reason to increase the quality of knowledge. Learners are the consumers (the clients) and teachers are the producers. At limit, one student must to open all of the remote laboratories referred at the same experiment to be able to declare that his knowledge and image about this experiment there is complete. But, similarly with the classic production process, there are a various grades or levels of quality. These differences are the result of the intentional design of the experiment, determined by the level of the laboratories endowment, of the level of Internet connection, the type and complexity of the subjects approached in the remote way, the acceptance of national language or of the English ones. All of the above factors being intentional, the quality aspects are named QUALITY of DESIGN. There are other factors which influenced the quality of the remote laboratory. They are: hardware and software utilized for the remote experiment, knowledge level of the producers (teachers) and of the consumers (students), type of quality assurance system in use inside of the schools, assessment and evaluation rules applied for the student knowledge, etc. This group of factors will determine QUALITY of CONFORMANCE, indicating how well the laboratory works (as product) conforms to the specifications required by each training system who intend to use the remote experiment network. There is a considerable necessity of the clarifications about quality in the field of the remote laboratory network, many times above notions being often used without a clear distinction. Being a global system, the remote experiment network includes an unavoidable conflict between quality of design, which represents a local decision and quality of conformance, which is a global requirement. As a result, in the paper the authors want to propose the application of some statistics methods, to do the above distinction and to start new approach regarding quality assessment in the remote experiment network.