Using Machine Learning Technologies in Educational Practices

This paper discusses the current methods of using machine learning technologies in educational practices. Modernity and relevance of this work lies in the fact that at present machine learning technologies in educational practices are not applying, as well as machine learning in general is not yet a sufficiently popular technology, although it can bring unquestionably high public benefit. The aim of the research is to study and search for possible approaches to improve the educational system by using machine learning techniques. To achieve this goal, the following tasks have been accomplished: studied what is machine learning at the moment; existing methods of using machine learning technologies are studied; analyzed companies and organizations in Russia that use machine learning; a solution has been found, with which it is possible to modernize the current educational structure. To solve the tasks in the thesis, the following methods were used: formalization, analytics, comparison and processing of data of applied sources, a probabilistic-statistical approach. During the work the following results were obtained: we explored the concept of machine learning and related terms, methods of using machine learning technologies in Russia and abroad are examined, a variant of solving the problem of low-quality education was proposed. The structure of the work is represented by an introduction, three chapters, a conclusion, a glossary and references. In the introduction defined the relevance of the topic, its practical significance, the goals and objectives of the research, methods of research, and announced the structure of the work. Chapter 1 reveals the concept and essence of machine learning, Chapter 2 describes the main trends in machine learning, Chapter 3 highlights the problems and features of machine learning in the Russian Federation. In conclusion findings are drawn about the work done and the result of the study is summarized.