Martinez Bastida J. Models and methods of information technology for learning active fault-tolerant systems

The object of research - the adaptive process for student learning by means of the learning plan individualization; the purpose of research – the increment of effectiveness in students’ learning process in the field of active fault-tolerant systems by means of applying information technologies for an adaptive individual learning; research methods – fault-tolerant systems theory, probabilistic theory, set theory; the result is the application of an Information technology in the form of an Intelligent tutoring system, a hardware-software complex that support the learning process and increases the degree of mastery of knowledge components and skills in the domain; novelty – first, it was developed an Informational technology for the adaptive learning of algorithms of active fault-tolerance systems, which allows to individualize the learning process by integrating an intelligent tutoring system with a hardware-software complex for conducting experiments; the improvement of a student’s success model that is based on a probabilistic model with diagnostic models for assessing the degree of mastery of knowledge components and skills and increases assessment effectiveness of degree of knowledge mastery and integrates a feedback system for each student; It was further developed, a method for an adaptive selection of tasks on the basis of the student assessment that uses the pedagogical principle of “Mastery learning” and supports the maximal effectivity in the learning process; results of implementation - results were realized in the scientific-production enterprise “Khartron-Arkos”, in educational and scientific process at National pharmaceutical University; field of use – increase of efficiency in learning processes.