Overview and classification of digital educational resources for economic and managerial education of master degree students majoring in information technologies

A wide range of forms and content of digital educational resources already exists and new forms appear regularly. Formal and informal organizations and societies work on the classification of resources. Countries and international organizations are establishing initiatives to support the development, sharing, and use of digital educational resources. Some of these resources are open, while others are accessible only to certain communities or geographic areas. This work intends to study the digital educational resources that enhance the development of managerial and economic knowledge and skills in the curriculum of masters majoring in IT. Methods of research appled: analysis, systematization, generalization, and classification were used to describe the proposed digital educational resources and their classification. The work provided the overview and classification of the digital educational resources for economic and managerial education of IT masters. The main varieties of the proposed digital resources are considered. Examples of the use of such digital educational resources in global institutions of higher education are given. The prospects for the future research require the analysis of the effective implementation of the latest solutions in the area of generative machine learning models. These technologies are reaching the levels of development when they become useful in the technologically-aided work of humans in routine as well as in creative jobs. Time is needed to see the first results of the usage of generative models in educational activities, as the parts of digital educational resources and their role in the digital transformation of educational institutions.