Models and methods of online training at Uzhgorod National University

Abstract

The paper shows the features of organizing online learning at Uzhgorod National University, presents the technology for creating an online course using the distance learning information platform. Modern education is characterized by a steady trend of transition to digitalization and personification of learning.
Modernization of education is currently associated with the introduction of adaptive, practice-oriented and flexible educational programs. At the same time, existing platforms for creating e-learning courses do not yet have the ability to intellectualize the learning process, flexibly adapt the content of education to the individual needs of students, do not contain convenient intelligent tools to support developers of online courses, automate routine operations for structuring educational content. Approaches to the development of e-learning courses are studied, stages of development and requirements for e-learning courses are highlighted, a structural and content model of the e-learning course and a model of data collected in the e-learning process are developed. Based on the developed models, intelligent methods for creating e-learning courses, an algorithm for structuring e-learning course materials, an algorithm for hierarchical classification of training course materials by thematic blocks, and an algorithm for primary ranking of training course elements by complexity and significance are proposed. The organization of an online course and a brief description of the implementation of an online course based on an e-learning system are presented. The presented paper reflects the results of the development and implementation of an online course based on the e-learning methodology. The article presents the development of an intelligent training course using data mining mechanisms. Efficient intelligent data processing algorithms underlie the development of adaptive online learning technologies implemented in educational processes. The basic principles of synthesizing a system for evaluating the quality of online courses are developed.