Lendiuk T. Knowledge-Oriented Methods and Information Technology for Construction of Education Computerization Systems

The thesis is devoted to the study of the formation of an individual learning path, ontology of the discipline and reduction of the training and testing time. There is developed a method for the formation of individual learning paths, taking into account the complexity of the educational material, the level of students’ knowledge and individual learning paths, which reduces the time of training and testing. Fuzzy model of individual learning paths, differs from its analogues into account the student’s level of knowledge, content and complexity of the educational component of the fragment, which expanded ontology of educational track. A fuzzy model of computer adaptive testing is developed based on the correct answers of the student to the current block of questions, the complexity of the current block of questions and the time spent, which, in comparison with existing testing models, allowed to speed up the testing process and motivate the student. There was modified pyramidal model test, which, in comparison with thematically unit testing reduces testing time. The ontology of the learning fragment with integration in the environment of the MOODLE distance education system, the SCORM standard and the Prot?g? knowledge base system has been modified, which, by introducing the criterion of the complexity of the learning fragment and the standard time of its study, makes it possible to select training fragments that are rational in time and complexity.