Aim. To analyze the concept of “artificial intelligence”, to justify the effectiveness of using artificial intelligence technologies.Tasks. To study the conceptual apparatus; to propose and justify the author’s definition of the “artificial intelligence” concept; to describe the technology of speech recognition using artificial intelligence.Methodology. The authors used such general scientific methods of cognition as comparison, deduction and induction, analysis, generalization and systematization.Results. Based on a comparative analysis of the existing conceptual apparatus, it is concluded that there is no single concept of “artificial intelligence”. Each author puts his own vision into it. In this regard, the author’s definition of the “artificial intelligence” concept is formulated. It is determined that an important area of applying artificial intelligence technologies in various fields of activity is speech recognition technology. It is shown that the first commercially successful speech recognition prototypes appeared already by the 1990s, and since the beginning of the 21st century. The great interest in “end-to-end” automatic speech recognition has become obvious. While traditional phonetic approaches have requested pronunciation, acoustic, and language model data, end-to-end models simultaneously consider all components of speech recognition, thereby facilitating the stages of self-learning and development. It is established that a significant increase in the” mental “ capabilities of computer technology and the development of new algorithms have led to new achievements in this direction. These advances are driven by the growing demand for speech recognition.Conclusions. According to the authors, artificial intelligence is a complex of computer programs that duplicate the functions of the human brain, opening up the possibility of informal learning based on big data processing, allowing to solve the problems of pattern recognition (text, image, speech) and the formation of management decisions. Currently, the active development of information and communication technologies and artificial intelligence concepts has led to a wide practical application of intelligent technologies, especially in control systems. The impact of these systems can be found in the work of mobile phones and expert systems, in forecasting and other areas. Among the obstacles to the development of this technology is the lack of accuracy in speech and voice recognition systems in the conditions of sound interference, which is always present in the external environment. However, the recent advances overcome this disadvantage.
Aim. The presented study aims to assess the socio-economic aspects of higher education transformation based on the widespread use of digital technologies.Tasks. The author describes the essence of digital inequality (digital divide), determines the place and role of teachers and students in the transformation of education driven by digital technologies, and highlights the specific features of virtual reality.Methods. This study uses the methods of the systems approach, comparative and structural analysis, analytical and theoretical generalization.Results. The author outlines the concept of a new paradigm of education based on the widespread use of digital technologies and transformed roles of teachers and students.Conclusions. Digitalization of education has made it possible to form an individual educational trajectory based on different forms of presentation of educational content and its communication from the teacher to the student, including using such technologies as virtual reality and artificial intelligence.
Aim. The presented study aims to identify the key problems for the participants of the educational process caused by the introduction of digital education into the educational environment of an educational institution and to formulate possible solutions to these problems.Tasks. The authors analyze the mechanism of implementation of digital technologies in the educational process; identify weak points in the active introduction of distance learning; outline opportunities for the development of digital education.Methods. This study uses the methods of the systems approach, comparative and structural analysis, analytical and theoretical generalization.Results. The major problems of digital education implementation are identified; two principal development paths are proposed with an aim to improve the efficiency and quality of educational services based on digital technologies.Conclusions. The main problems of digital education implementation are the lack of face-to-face communication and real-life interaction between the teacher and students; insufficient technical equipment (the need for computers, laptops, tablets); poor performance of the equipment that hosts information resources combined with large amounts of transmitted data. As possible solutions to these problems, the authors outline two major development paths: improving the quality of educational content and developing efficient tools, i.e. a modern online education platform.
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