Development of innovative learning technology in systems with dual processes

Abstract

The paper proposes the development of innovative learning technologies in systems with dual processes. The object of research is information technology processes and phenomena that occur in systems with dual processes. Creation of a virtual student experimental studio for modeling professional knowledge is proposed. One of the most problematic places is the creation and testing of a digital platform of disciplines in the specialty. The study further suggests a transition from traditional learning methods to methods of consulting the formation of students' professional knowledge in their specialty based on simulation modeling. The tasks of the students are development of a model of disciplines and the formation of their individual models of professional knowledge in their field. In the course of the study, the basics of the theory of systems were used to build a methodological base for the development of innovative learning technologies and statistical methods to assess the possibility of creating models of professional knowledge. An innovative educational technology is obtained, which has a number of features. In particular, it involves the development of a model of professional knowledge, which consists of a multitude of studied disciplines, practical exercises, technical learning aids, assessments and self-assessments, relationships between elements of the model, and temporal relationships. The scheme of the organization of the educational process using a specially built digital knowledge platform is proposed. A comparison of the traditional learning pattern and the learning pattern based on the digital knowledge platform is shown. In addition, the possibility of creating models of professional knowledge is assessed, while calculating the consistency of expert assessments is carried out using the Kendall’s coefficient of concordance. This ensures the possibility of obtaining indicators of the relevance of the proposed innovative learning technologies in systems with dual processes. Expert evaluations have shown that the creation of professional knowledge models by students will allow to systematize their knowledge in systems with dual processes.