METHODS OF THE INTELLECTUAL STUDENTS' KNOWLEDGE MONITORING SYSTEM FOR DISTANT LEARNING

Authors offer the basis for designing and development of the intellectual information knowledge monitoring system. The use of traditional tests assumes the selection of answers on the basis of fuzzy logic. It is supposed to use them properly only in case of strictly formally asked questions. This leads to absolutely simple questions. But acquisition of knowledge includes not only (and not so much) storing aprioristic original facts, but ability to understand the general phenomena or tendencies. "Open" (without versions of the answer) test tasks are more effective in matters of management of this knowledge. In this work we presented an approach to the ontology based text analysis for an automatic assessment of answers of the student in native language (the Kazakh language). The use of intellectual algorithms can also quickly change the system of assessment and the control scheme. This considerably improves quality and testing speed.