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List of publications on a keyword: «artificial intelligence»

  • The use of interactive technologies in teaching mathematics in the context of the transition from frontal visualization to individual online support

    Conference Paper
    Digitalization in the education system: best practices and implementation practices
    Author:
    Arina I. Bondarenko
    Work direction:
    Опыт использования современных информационно-коммуникационных технологий
    Abstract:
    The article summarizes the practical experience of integrating digital tools into mathematics education in face-to-face, remote, and extracurricular formats. Based on empirical data, the article examines the capabilities of interactive whiteboards, dynamic environments (GeoGebra, Desmos), video conferencing platforms, and neural networks (GigaChat, YandexGPT, DeepSeek). It is proven that the effectiveness of ICT depends not on technical characteristics, but on the didactic validity of their inclusion in the educational process. The article substantiates the need to create a unified digital ecosystem for teachers that ensures the continuity of different forms of education. The article concludes that a teacher's methodological flexibility is a crucial factor in the successful digitalization of mathematics education.
    Keywords:
    information and communication technologies, artificial intelligence, distance learning, digital educational environment, interactive learning, GeoGebra

  • Using Artificial Intelligence in Teaching Students in Land Management

    Conference Paper
    Digitalization in the education system: best practices and implementation practices
    Authors:
    Anastasiia V. Sukonina, Vera E. Titova
    Work direction:
    Цифровые тренды и повышение качества профессионального образования
    Abstract:
    The article discusses the current issues of introducing artificial intelligence (AI) technologies into the training process of students specializing in Land Management and Cadastre. It analyzes the key areas of AI application in the educational environment and provides examples of integrating neural network algorithms into academic disciplines. Special attention is given to a practice-oriented approach, with the presentation of an author's development - a detailed plan for a practical lesson on automatic object recognition for land surveying purposes. The article concludes that the role of future specialists is transforming from an executor to an analyst-strategist.
    Keywords:
    education, artificial intelligence, automation, neural networks, land management, GIS, land survey plan, and digital competencies

  • Development of the road network and economic security of the Russian Federation

    Book Chapter
    Development of the Russian socio-economic system: challenges and prospects
    Authors:
    Andrei V. Minakov, Tatiana N. Agapova
    Work direction:
    Экономические науки
    Abstract:
    The relevance of this research topic stems from the importance and significance of managing the development of the road network for achieving the national development goals of "A Comfortable and Safe Living Environment," "Decent, Efficient Employment, and Successful Entrepreneurship," and for ensuring Russia's economic security. The aim of the study is to identify the relationship between the development of the road network and the economic security of the Russian Federation. The study revealed that the implementation of the national project "Safe, High-Quality Roads," completed in 2024, has not fully addressed the challenges and risks to economic security associated with the high proportion of regional and local roads that do not meet regulatory requirements, underfunding of the road infrastructure, the slow pace of innovative development and the implementation of digital solutions, and regional differentiation in the quality of the road network.
    Keywords:
    artificial intelligence, economic security, digital transformation, road infrastructure, highways, intelligent transport systems, concessions

  • Использование потенциала искусственного интеллекта в физическом воспитании и спортивной подготовке студентов вузов: опыт и возможности

    Book Chapter
    Issues of education and psychology
    Author:
    Spartak G. Aleksandrov
    Work direction:
    Педагогика
    Abstract:
    The essence of artificial intelligence and its role in the modern world are considered. The possibility of creating physical education and sports training programs for university students using artificial intelligence is being considered. The advantages and disadvantages of using artificial intelligence in creating such programs are described.
    Keywords:
    innovation, technology, artificial intelligence, physical education, digitalization, sports, university students

  • USE OF MODERN TECHNOLOGIES AND ARTIFICIAL INTELLIGENCE IN ENGLISH LANGUAGE LEARNING

    Conference Paper
    Education, innovation, research as a resource for community development
    Authors:
    Artiom G. Elizbarian, Anna S. Klimash, Inessa S. Kappusheva, Alena R. Novikova
    Work direction:
    Современные технологии в образовании
    Abstract:
    This article explores the integration of digital tools and artificial intelligence technologies into language education. Specific platforms and services are examined, their pedagogical effectiveness is analyzed, risks are discussed, and recommendations for the systematic use of technologies in the educational process are offered.
    Keywords:
    artificial intelligence, English language, learning, digital technologies, gamification

  • Managerial Mindset as a Predictor of Leaders' Readiness to Integrate AI into Management Systems

    Conference Paper
    Coaching psychology: methodology, theory, practice
    Author:
    Talina M. Vengrzhnovskaia
    Work direction:
    Технологии искусственного интеллекта в коучинге
    Abstract:
    The article examines the relationship between a leader's managerial mindset and their readiness to integrate artificial intelligence into the management system. Based on an analysis of eight major global studies of 2024–2026 (PwC, McKinsey, BCG, IBM, Deloitte, Gallup, Asana, Harvard Business Publishing), the author demonstrates that the principal barrier to AI adoption is not technological complexity but the type of the leader's mindset. An original typology of five managerial mindset profiles in the context of AI readiness is proposed and theoretically grounded through correlation with the levels of C. Graves' value systems. The dynamics of transitions between profiles are shown, and the need to develop a validated diagnostic instrument is substantiated.
    Keywords:
    management system, management, artificial intelligence, leadership, spiral dynamics, managerial mindset, AI readiness, value systems, typology of leaders, managerial mindset profiles, leadership types

  • A Differentiated Approach to Developing Leaders' AI Readiness: Coaching, Mentoring, and Environment Design

    Conference Paper
    Coaching psychology: methodology, theory, practice
    Author:
    Talina M. Vengrzhnovskaia
    Work direction:
    Технологии искусственного интеллекта в коучинге
    Abstract:
    The article presents a differentiated approach to developing leaders' readiness to integrate artificial intelligence into the management system. Drawing on the author's typology of five managerial mindset profiles in the context of AI readiness, an optimal development format is defined for each profile — coaching, mentoring, their combination, or the shaping of an organizational environment. Particular attention is given to the «Strategist of Power» profile, for which classical individual development formats are inapplicable. Cases from the author's consulting practice are presented. The connection between the typology and the two-circuit model of leadership potential diagnostics is demonstrated.
    Keywords:
    management, artificial intelligence, environment design, mentoring, coaching, executive coaching, leadership potential, managerial mindset, AI readiness, managerial mindset profiles, leadership types, leadership development

  • Business analysis in the context of hybrid intelligence: new roles, competencies and methodologies

    Book Chapter
    Development of the Russian socio-economic system: challenges and prospects
    Author:
    Pavel V. Bochkov
    Work direction:
    Глава 8
    Abstract:
    The chapter investigates the transformation of the business analyst profession amid AI advancements and hybrid intelligence – synergistic human-machine cognition in decision-making. Relevance arises from technological shifts: cloud migrations, microservices architecture, AI integration in business processes. Drawing on theoretical frameworks and empirical data from Russian and international companies, it elucidates the intellectualization of socio-economic systems. The study justifies abandoning traditional business analysis for hybrid methodologies incorporating predictive and adaptive elements. A novel typology of business analyst roles is introduced: systems ecosystem designer, AI model interpreter, data architect, ethical navigator. Key competencies are identified: systems thinking, technical literacy, machine learning basics, product mindset, ethical evaluation. It is concluded that in the context of hybrid intelligence, there is not a replacement of a person by a machine, but a qualitative change in his role – the transition from a performer of routine operations to a strategic partner providing synergy of human judgment and the computing power of algorithms.
    Keywords:
    artificial intelligence, digital transformation, business analysis, hybrid intelligence, business analysis methodology, analytics competencies
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  • Using digital systems in road freight transport management

    Conference Paper
    The socio-economic landscape of the region: people and digital transformation
    Author:
    Andrei V. Minakov
    Work direction:
    Цифровое управление логистическими потоками
    Abstract:
    Ensuring the successful development of road freight transportation in Russia is impossible without the wider use of digital systems. The aim of this study is to identify the specifics and challenges of using digital systems in road freight transportation management. The study found that, despite regular updates to strategic directions for the digital transformation of the Russian transport industry, the growth of the online road freight transportation market remains insufficient to ensure high levels of online penetration. Geoinformation systems, cloud technologies, and digital platforms have found widespread use in road freight transportation. To more effectively utilize digital systems, it is recommended to focus on developing prototypes of Level 5 autonomous trucks, launching the National Digital Transport and Logistics Platform, and expanding the use of artificial intelligence-based solutions, electronic navigation seals, and smart contracts.
    Keywords:
    artificial intelligence, transport industry, digital platforms, geographic information systems, Digital systems, road freight transportation, navigation seals
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  • Developing Critical Thinking in Future Foreign Language Teachers Through Generative Language Models: A Systematic Review of Empirical Studies

    Review Article
    Development of education Volume 9 No 1
    Authors:
    Svetlana V. Chusovlianova, Elena G. Zharikova
    Work direction:
    Pedagogy and Modern Education
    Abstract:
    In the context of digital transformation in education, the development of critical thinking among future teachers has become increasingly urgent due to widespread integration of generative artificial intelligence (AI) into teaching and learning processes. This paper presents a systematic review of empirical studies (2019–2025) that examine the pedagogical potential of generative language models for fostering critical thinking among students in teacher education programs. This work constitutes a secondary analysis; it synthesizes findings from ten peer-reviewed empirical and theory-informed empirical studies conducted in Russia, China, Saudi Arabia, and other countries. The literature analysis reveals that effective use of neural network-based AI tools can support the development of core critical thinking operations provided that specific pedagogical strategies are employed. At the same time, the review systematically identifies key risks associated with AI integration: cognitive laziness, academic dishonesty, and the unreliability of generated information. The paper emphasizes the necessity of cultivating students’ digital and critical literacy as a prerequisite for mindful engagement with AI-generated content, as well as the transformation of the teacher’s role from a knowledge transmitter to a facilitator of a reflective-discursive learning environment. This systematic review contributes to the theory of digital pedagogy by proposing an approach to integrating generative AI models into the professional training of language teachers.
    Keywords:
    critical thinking, teacher training, active learning, artificial intelligence in education, future foreign language teachers, reflective learning
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  • The Use of Digital Technologies in Teaching Mathematics: From "Black Box" Systems to Intelligent Pedagogical Environments

    Review Article
    Development of education Volume 9 No 1
    Author:
    Egor V. Malyutin
    Work direction:
    Pedagogy and Modern Education
    Abstract:
    This article is dedicated to analyzing the impact of digital technologies on the process of learning mathematics. Based on the author's proposed four-component typology of digital tools – Black Box systems, Digital Workbooks, Intelligent Tutoring Systems (ITS), and AI-based Systems – their pedagogical effects and associated cognitive risks are examined. It is shown that digital tools effectively develop procedural and algorithmic skills, provide rapid feedback, and support individualized learning. However, their uncontrolled application can lead to the displacement of analytical and creative components of mathematical thinking, the formation of superficial, instrumental motivation, and dependence on automated solutions. Particular attention is paid to the risks associated with AI systems, which, while possessing the potential for dialogic support and analysis of reasoning, can simultaneously foster the passive assimilation of ready-made solutions and diminish student autonomy. The article emphasizes the necessity of thoughtful didactic integration of digital technologies into the educational process, where they serve not as a replacement but as a means of enhancing intellectual activity, thereby ensuring the development of full-fledged mathematical thinking, encompassing the capacity for analysis, reasoning, and creative inquiry.
    Keywords:
    digital technologies, digitalization of education, artificial intelligence in education, mathematics education, intelligent tutoring systems
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  • Vliianie tekhnologii iskusstvennogo intellekta na sotsial'nye otnosheniia

    Conference Paper
    Current problems of communication: theory and practice
    Authors:
    Ekaterina M. Fatneva, Iana D. Sidorenko
    Work direction:
    Конвергентные коммуникации будущего: интеграция цифровой среды, нейронаук, искусственного интеллекта и новых медиа
    Abstract:
    In today's world, with the rapid development of artificial intelligence (AI) technologies, society is facing changes in the ways of communication, interaction, social relations, and the structure of modern society. This article analyzes the consequences of the introduction of artificial intelligence into everyday life and explores ways to improve its use. In an environment of information pollution, the introduction of artificial intelligence facilitates the acceleration and personalization of communication, expanding opportunities for interaction, but also spreads social fragmentation. The relevance of this topic lies in the need to understand both the positive and negative consequences of the introduction of AI into everyday life, as well as to find ways for society to adapt to the new realities associated with the integration of artificial intelligence into communication systems.
    Keywords:
    social adaptation, artificial intelligence, communication, digital transformation, automation, Ethics, digital divide, social relations, social structures, human-machine interaction
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  • Ispol'zovanie neirosetei v sisteme obrazovaniia: preimushchestva i riski

    Conference Paper
    Current problems of communication: theory and practice
    Authors:
    Iurii A. Denisenko, Daniil F. Klimenko
    Work direction:
    Конвергентные коммуникации будущего: интеграция цифровой среды, нейронаук, искусственного интеллекта и новых медиа
    Abstract:
    Over the past three years, neural networks and other artificial intelligence (AI) technologies have become one of the most discussed topics in education, from school to university. This article examines the main uses of neural networks in the educational process, analyzing their key benefits (personalization, automation of everyday tasks, expanding access to knowledge) and risks (ethical issues, substitution of independent work, digital divide, unreliable information). Based on an analysis of modern scientific and educational literature, it shows how neural networks are changing education and what conditions are necessary for their safe and effective implementation. The research methods include analysis and synthesis of scientific literature, comparison of approaches by different authors, and practical examples.
    Keywords:
    education, information security, artificial intelligence, digitalization, neural networks, personalized learning, academic integrity
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  • MODERN TECHNOLOGIES IN EDUCATION

    Conference Paper
    Education, innovation, research as a resource for community development
    Authors:
    Polina A. Riazantseva, Daria A. Riazantseva, Sofia A. Kravchenko, Dar'ia D. Shipil', Sofia R. Letuchaia, Alina N. Kostenko, Iurii O. Vrublevskii
    Work direction:
    Современные технологии в образовании
    Abstract:
    The article is devoted to the study of modern digital technologies that have a significant impact on the transformation of educational processes. The key areas of technology integration are considered: adaptive learning systems based on artificial intelligence, virtual and augmented reality (VR/AR) technologies, the use of big data and learning analytics, as well as the development of massive open online courses (MOOCs) and blended learning formats. Special attention is paid to the practical aspects of implementing these technologies in the higher education process and their impact on the development of students' digital competencies. An analysis of potential benefits is carried out, including increasing the level of personalization, interactivity and accessibility of education. In parallel, the main challenges are explored, such as the problem of the digital divide, cybersecurity and personal data protection, and the risk of digital fatigue. The methodological basis of the work was the analysis of current scientific publications, a review of existing technological solutions and platforms. The conclusion is made about the need for a balanced approach in which technological tools serve to expand the capabilities of traditional pedagogy, and not its complete replacement.
    Keywords:
    higher education, artificial intelligence, virtual reality, digital transformation, digital technologies, MOOC, blended learning, learning analytics
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  • Modern legal proceedings face the need to integrate artificial intelligence technologies in order to improve the efficiency and quality of decision-making. However, this process is accompanied by a number of challenges related to objective and subjective factors that affect the implementation of AI in the legal field. Analyzing these issues is crucial for understanding the obstacles that need to be overcome in order to successfully utilize intelligent systems in the justice system. Technical difficulties arise from the limitations of current algorithms and software solutions, which may not always be able to handle the complexity of legal cases. Most AI systems today are highly specialized and only function effectively within the confines of predefined rules and data. The high demand for accurate decisions is due to the fact that the judicial process does not tolerate errors, and algorithmic failures, incorrect interpretation of facts, or incomplete data can lead to unfair verdicts.

    Conference Paper
    Education, innovation, research as a resource for community development
    Authors:
    Sirazhitdin A. Temirkhanov, Iasmin M. Efendieva, Saida V. Kaipbekova
    Work direction:
    Инновационные технологии как ресурс повышения качества образования
    Abstract:
    Modern legal proceedings face the need to integrate artificial intelligence technologies in order to improve the efficiency and quality of decision-making. However, this process is accompanied by a number of challenges related to objective and subjective factors that affect the implementation of AI in the legal field. Analyzing these issues is crucial for understanding the obstacles that need to be overcome in order to successfully utilize intelligent systems in the justice system. Technical difficulties arise from the limitations of current algorithms and software solutions, which may not always be able to handle the complexity of legal cases. Most AI systems today are highly specialized and only function effectively within the confines of predefined rules and data. The high demand for accurate decisions is due to the fact that the judicial process does not tolerate errors, and algorithmic failures, incorrect interpretation of facts, or incomplete data can lead to unfair verdicts.
    Keywords:
    artificial intelligence, judicial system, law, legal proceedings, and technology
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  • AI Assistants as Tutors: Ethical Boundaries for Using Neural Networks to Personalize Programming Education

    Conference Paper
    Education, innovation, research as a resource for community development
    Authors:
    Inna G. Iglinskaia, Anastasiia V. Petrakova
    Work direction:
    Использование нестандартных решений для повышения качества, доступности и эффективности образования
    Abstract:
    The article discusses the current problem of integrating artificial intelligence (AI), in particular, large language models (LLM), into the educational process of training specialists in the specialty 02/09/07 "Information Systems and Programming". The purpose of the study is to analyze the potential of AI assistants as personalized tutors to develop programming skills and identify the associated ethical risks and pedagogical limitations. Based on the analysis of modern literature and the author's practical experience, key dilemmas have been identified: the reliability of the generated code and explanations, the risk of intellectual dependence, issues of academic integrity and digital inequality. The article offers a model for the balanced use of AI assistants based on the principles of pedagogical support, the development of critical thinking and the formation of digital hygiene among students. It is concluded that AI is a powerful tool for improving the accessibility and effectivenes
    Keywords:
    pedagogical design, tutoring, ChatGPT, programming, AI ethics, academic integrity, artificial intelligence in education, learning personalization, large language models (LLM), and professional education
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  • Digitalization of language education of the indigenous peoples of the North: theoretical foundations, modern practice and development prospects

    Conference Paper
    Education, innovation, research as a resource for community development
    Author:
    Spartak B. Lekhanov
    Work direction:
    Национальное образование: языкознание, языковая культура
    Abstract:
    The article is devoted to a comprehensive analysis of the processes of digitalization of language education of the indigenous peoples of the North in the context of preserving the linguistic diversity of Russia. The article considers the theoretical, regulatory, legal and methodological foundations for the introduction of digital technologies in the field of teaching native languages to the indigenous peoples of the North. Based on the analysis of the existing infrastructure (electronic dictionaries, mobile applications, educational platforms, systems using artificial intelligence), key factors for the success of digital projects are identified, critical problems and barriers to development are identified.
    Keywords:
    artificial intelligence, digitalization, mobile applications, languages of the indigenous peoples of the North, electronic language resources, language policy, language revitalization
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  • Practical training of future computer science teachers in assessing students' educational outcomes using artificial intelligence

    Conference Paper
    Modern educational process: psychological and pedagogical support, educational strategies
    Authors:
    Sergei A. Mavrin, Aleksandr V. Dobudko, Nikolai P. Burtsev, Dmitrii A. Petrunin
    Work direction:
    Педагогическое мастерство и профессиональное развитие
    Abstract:
    The article examines the potential of artificial intelligence in assessing the educational results of schoolchildren in computer science. It is proposed to include in the educational program for future computer science teachers the discipline "Modern models and assessment tools in computer science teaching", which will address the practical tasks of using artificial intelligence for assessment.
    Keywords:
    artificial intelligence, computer science teacher training, assessment of educational outcomes
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  • The principle of operation of recommender systems and their impact on people using YouTube as an example

    Conference Paper
    Relevant issues of management, economics and economic security
    Authors:
    Mark I. Tagirov, Aleksandr A. Ushakov, Olesia V. Tereshchenko
    Work direction:
    Менеджмент и его разновидности, диверсификация, маркетинг, ценообразование и логистика
    Abstract:
    This article analyzes YouTube's recommendation system and explores its architecture, which is based on a two-stage machine learning model, taking into account the implementation of self-learning methods, and its evolution in 2025. The article focuses on identifying and systematizing the risks associated with content personalization, such as the formation of "information bubbles," the impact on user behavior, and the promotion of radical content. Recommendations for mitigating the identified negative effects on users and developers are presented, based on current scientific publications and statistics.
    Keywords:
    artificial intelligence, machine learning, personalization, algorithms, addiction, YouTube, recommender systems, information bubble, large language models
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  • The issues of developing students' motivation for learning in the works of domestic and foreign scientists

    Book Chapter
    Issues of education and psychology
    Authors:
    Meiseria G. Akhmetvalieva, Nataliia G. Veliunskaia
    Work direction:
    Глава 3
    Abstract:
    The quality of education, academic results of students directly depend on motivation for learning as one of the effective tools. The chapter is the result of theoretical analysis of studies by domestic and foreign scientists on the development of students' motivation for learning. The purpose of the study is to systematize scientific research on the phenomenon of students' motivation to gain knowledge in an educational organization. The approaches of scientists to understanding motivation for learning, various types of classifications of this phenomenon, the causes and mechanisms of its development are considered. And also the role of integrating artificial intelligence into the educational process as a modern method of increasing the level of motivation for learning in students is highlighted.
    Keywords:
    motivation, higher education, students, artificial intelligence, educational motivation, internet technologies, motives, external motives, internal motives
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  • Methodological and technological problems of artificial intelligence imple-mentation in hygiene teaching

    Book Chapter
    Issues of education and psychology
    Authors:
    Dmitrii O. Lastkov, Anastasiia A. Gorokhova, Dmitrii V. Churkin, Aleksandr I. Klimenko
    Work direction:
    Глава 8
    Abstract:
    Some methodological issues related to the implementation of artificial intelligence (AI) in the practice of hygiene teaching at medical universities highlights in the article. The current stage is considered as an understanding of this phenomenon and preparation for the initial stages of its implementation. It is proposed that effective AI, as an assistant to the teacher, can only be developed, trained, and prepared only in condition of concrete department. Technological aspects of creating AI today are also discussed.
    Keywords:
    education, hygiene, medicine, competence-based approach, artificial intelligence (AI)
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  • Industrial ecosystems: development strategies

    Book Chapter
    Sustainable development strategies: economic, legal and social aspects
    Author:
    Aleksey Y. Pronin
    Work direction:
    Глава 5
    Abstract:
    The relevance of the study is due to the total trend towards digitalization in the Russian Federation, which covers a wide range of sectors of the national economy. The purpose of the study is to identify trends in the development of industrial ecosystems in the context of the total implementation of digital technologies and the need to ensure technological sovereignty. The theoretical and methodological basis of the study is empirical (expert assessments, study of production experience) and theoretical (system analysis, categorical analysis, comparison, generalization, decision-making) methods. The chapter discusses the main reasons for the transition to a new stage in the development of industry and the economy of the Russian Federation. The main advantages of digital industrial ecosystems are formulated. The tools that ensure the functioning of digital industrial ecosystems are described and examples of their successful implementation are given. Based on the analysis of publications of domestic scientists, strategies for the further development of digital industrial ecosystems are proposed.
    Keywords:
    artificial intelligence, industry, digitalization, digital transformation, ecosystem, digital technology, technological sovereignty, industry 4.0, development strategies, industrial ecosystem, industry 5.0
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  • Forecasting the Implementation of Artificial Intelligence in Education Based on Pedagogical Futurology

    Research Article
    Development of education Volume 8 No 3
    Authors:
    Maxim L. Grunis, Galiia I. Kirilova, Chen Yimin
    Work direction:
    Pedagogy and Modern Education
    Abstract:
    The paper discusses the necessary changes in teacher training that are in demand due to the active implementation of artificial intelligence (AI) in universities of the Russian Federation. These changes are considered on the basis of pedagogical futurology. The comparative significance of AI implementation factors in education is traced, identified for entities responsible for the effective implementation of AI systems and with different levels of readiness for the designated innovations, including: people making decisions on modernizing interactions based on AI, people implementing methodological support and implementation of AI, as well as students that are undergoing training to develop programs and technologies in the field of AI in the near and distant future. The main problems of education development in this article are considered on the basis of the analysis of the obtained experimental data on the predicted expectations and achievable results associated with the use of AI and the transition from traditional algorithms and established scenarios of binary interaction in the educational process to the possible transfer of a significant number of analytical operations and educational functions from humans to digital agents. The article proposes systemic measures for the implementation of predictive activities of subjects of the educational process based on pedagogical futurology, taking into account the expectations of the use of artificial intelligence in education.
    Keywords:
    information educational environment, subject of the educational process, implementation of artificial intelligence, pedagogical futurology
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  • Forecasting the Implementation of Artificial Intelligence in Education Based on Pedagogical Futurology

    Research Article
    Development of education Volume 8 No 3
    Authors:
    Maxim L. Grunis, Galiia I. Kirilova, Chen Yimin
    Work direction:
    Pedagogy and Modern Education
    Abstract:
    The paper discusses the necessary changes in teacher training that are in demand due to the active implementation of artificial intelligence (AI) in universities of the Russian Federation. These changes are considered on the basis of pedagogical futurology. The comparative significance of AI implementation factors in education is traced, identified for entities responsible for the effective implementation of AI systems and with different levels of readiness for the designated innovations, including: people making decisions on modernizing interactions based on AI, people implementing methodological support and implementation of AI, as well as students that are undergoing training to develop programs and technologies in the field of AI in the near and distant future. The main problems of education development in this article are considered on the basis of the analysis of the obtained experimental data on the predicted expectations and achievable results associated with the use of AI and the transition from traditional algorithms and established scenarios of binary interaction in the educational process to the possible transfer of a significant number of analytical operations and educational functions from humans to digital agents. The article proposes systemic measures for the implementation of predictive activities of subjects of the educational process based on pedagogical futurology, taking into account the expectations of the use of artificial intelligence in education.
    Keywords:
    information educational environment, subject of the educational process, implementation of artificial intelligence, pedagogical futurology
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  • Digital technologies as a tool for training competitive university graduates in the context of the transformation of the modern labor market

    Book Chapter
    Current issues of pedagogy and psychology
    Author:
    Dmitry A. Konoplyansky
    Work direction:
    Глава 2
    Abstract:
    In today's digitalized world, staffing is becoming the fundamental basis for effective transformation. Global digital transformation processes permeate all aspects of socio-economic development. A new type of specialist in demand in the labor market must meet the criteria that are formed in the context of national projects being implemented in the country – he is a creative professional who makes responsible decisions and creates a positive image not only of his profession, but also of the organization and the state as a whole. In the context of the transformation of the modern labor market, digital technologies are becoming the most important tool for training competitive university graduates. The chapter is devoted to the interpretation of the concept of «digital technologies in education», the disclosure of their essence and structural components. Digital technologies have advantages over traditional educational technologies: access to a variety of resources and tools, adaptability and personalized learning, as well as the development of digital skills needed in today's labor market. However, the introduction of digital technologies into the educational process is associated with a number of challenges, such as the need to ensure digital literacy among teachers and students, infrastructure development, and data protection. The influence of digital technologies on the formation of graduates' competitive abilities is manifested in their ability to effectively adapt to changing labor market conditions, meet employers' requirements and develop personal qualities, including critical thinking, creativity and readiness for continuous learning. The integration of digital technologies into the educational environment of a university requires a strategic approach focused on the development of a specialist's personality, the needs of the modern labor market and the requirements of potential employers.
    Keywords:
    higher education, artificial intelligence, student, virtual reality, digital technologies, educational technologies, educational environment of the university, graduate competitiveness, labor market transformation
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