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List of publications on a keyword: «artificial intelligence»

  • Intelligent Web Services and Semantic Technologies in Digital Educational Resources

    Conference Paper
    Digitalization in the education system: best practices and implementation practices
    Authors:
    Sofiia D. Nikitina, Kristina F. Iliasova, Andrei M. Zhdanov, Kirill A. Koldenkov, Natalia E. Cherniavskaia
    Work direction:
    Цифровые образовательные ресурсы
    Abstract:
    The article explores the principal aspects of Web Intelligence (WI) in the context of Artificial Intelligence in Education (AIED). The study demonstrates that WI creates new possibilities for personalization of learning, adaptive educational services and semantic integration of learning materials. Special attention is devoted to components such as ontologies, intelligent Web services, semantic markup and Web mining. The architecture of intelligent educational servers INES is proposed, and usage scenarios are described. The authors conclude that the introduction of WI methods into e-learning systems increases adaptability, automation and learner comfort.
    Keywords:
    adaptive learning, ontologies, artificial intelligence in education, Web Intelligence, Semantic Web, pedagogical agents, Web mining, intelligent Web services

  • Digital Technologies as a Means of Personalizing Contemporary Education

    Conference Paper
    Digitalization in the education system: best practices and implementation practices
    Author:
    Бардиж Кирилл Евгеньевич
    Work direction:
    Опыт использования современных информационно-коммуникационных технологий
    Abstract:
    In the context of the digital transformation of education, accounting for learners’ individual characteristics has become especially important. This article explores the opportunities and limitations of digital technologies as a tool for personalizing contemporary education. It examines the theoretical foundations of the personalized approach and analyzes practical applications of personalization through digital educational platforms. The study is based on an analytical approach, including a review of publications on digital personalization in education and a comparative analysis of empirical studies on the effects of digital technologies on learners’ motivation, engagement, and academic outcomes. The article also discusses the main limitations of personalization technologies. It concludes that integrating digital technologies into education can improve learning effectiveness.
    Keywords:
    adaptive learning, artificial intelligence, personalized learning, digital footprint, digital educational technologies, learning management systems, personalized feedback, limitations of digital personalization

  • 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

  • Artificial intelligence in pedagogical communication

    Conference Paper
    Digitalization in the education system: best practices and implementation practices
    Authors:
    Irina G. Galushko, Левада Елена Сергеевна, Kira V. Garashchenko
    Work direction:
    Цифровые тренды и повышение качества профессионального образования
    Abstract:
    Преподавательское взаимодействие с детьми потребует у педагога также цивилизованных коммуникативных умений. Верное применение использования искусственного интеллекта поможет учителю исключить многочисленные проблемы при общении, во-первых, понимание ребенка делается наиболее зрелым, поочередным, систематизированным и обретает абсолютно новейшее свойство – критичность.
    Keywords:
    education, technology, artificial intelligence, interaction, communication, Pedagogy, upbringing, factor

  • 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

  • Artificial intelligence and digital tools in contemporary education: opportunities, challenges and implementation strategies

    Conference Paper
    Advanced Pedagogical Experience in the Modern Educational Space
    Authors:
    Tikhon A. Markin, Nikita A. Lagutin, Inessa S. Kappusheva
    Work direction:
    Цифровые инструменты и искусственный интеллект в образовании
    Abstract:
    This paper examines the current landscape of AI and digital tool integration in educational environments, analysing key application domains and their pedagogical implications. Drawing on empirical research, OECD statistical data, and UNESCO policy guidance, the study identifies the principal areas in which AI is transforming teaching and learning: adaptive learning systems, intelligent tutoring, automated assessment, and administrative automation. Barriers to effective implementation – including infrastructure gaps, teacher readiness, data privacy concerns, and algorithmic bias – are systematically analysed. Strategic recommendations are proposed for educators and policymakers seeking to harness AI capabilities while mitigating associated risks. The findings emphasise that sustainable integration requires a systemic approach that prioritises pedagogical intent over technological novelty.
    Keywords:
    adaptive learning, educational technology, digital transformation, digital tools, artificial intelligence in education, intelligent tutoring systems
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  • The role of artificial intelligence in personalizing the educational process

    Conference Paper
    Education, innovation, research as a resource for community development
    Authors:
    Disana Z. Khavzhokova, Karina U. Mamaeva
    Work direction:
    Современные технологии в образовании
    Abstract:
    This paper explores the integration of artificial intelligence (AI) into modern education as a tool for personalizing learning. Traditional educational models often struggle to accommodate individual student needs, learning paces, and learning styles. AI-driven adaptive learning systems, intelligent tutoring systems, and learning analytics provide opportunities for real-time feedback, customized educational content, and more flexible teaching approaches. The article discusses the main applications of AI in education, examines challenges and ethical considerations, and concludes that responsible implementation of AI technologies can improve student engagement and learning effectiveness.
    Keywords:
    artificial intelligence, educational technology, personalized learning, student engagement, adaptive systems
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  • Artificial intelligence (AI) in education: using AI tools for teaching and learning process

    Conference Paper
    Education, innovation, research as a resource for community development
    Authors:
    Sofia I. Chaplygina, Elina I. Zagyrtdinova, Anastasia A. Kukleva
    Work direction:
    Современные технологии в образовании
    Abstract:
    The article examines the application of artificial intelligence in education, particularly in the process of teaching and learning. AI is widely used across various platforms, including virtual tutors, voice assistants, intelligent content, presentation translators, global courses, automated assessment, personalized learning, educational games, and intelligent tutoring systems. It is noted that many routine tasks of teachers (grading, attendance tracking, testing, reporting) can be automated, allowing educators to focus on character building and the development of student qualities. It is emphasized that AI is a product of natural human intelligence; therefore, the two concepts will never be equal.
    Keywords:
    education, artificial intelligence, automation, personalized learning
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  • 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
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  • The impact of artificial intelligence on English language learning among university students: opportunities, risks, and pedagogical conditions

    Conference Paper
    Education, innovation, research as a resource for community development
    Authors:
    Oleg P. Yuzhalin, Ivan A. Filatov, Anastasia V. Filipskaya
    Work direction:
    Современные технологии в образовании
    Abstract:
    This article reviews recent evidence on how artificial intelligence (AI) affects English language learning among university students. Based on systematic reviews, meta-analyses, empirical studies, and UNESCO guidance, the paper shows that AI can support vocabulary, writing, reading, speaking practice, and self-regulated learning. At the same time, it can weaken learning when students rely on it uncritically or use it without ethical boundaries. The article argues that AI is most effective as a supplementary tool within teacher-guided instruction and proposes conditions for responsible classroom integration.
    Keywords:
    artificial intelligence, university students, generative AI, English language learning, self-regulated learning
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  • Modern technologies in English language education: a comprehensive review of current trends, effectiveness, and future directions

    Conference Paper
    Education, innovation, research as a resource for community development
    Authors:
    Aleksandr S. Astaichenkov, Andrey A. Aleksandrov, Mikhail S. Afanasev, Olga V. Sharapova
    Work direction:
    Современные технологии в образовании
    Abstract:
    This article examines five categories of technological innovations in English language education: artificial intelligence and machine learning, mobile-assisted language learning, virtual and augmented reality, game-based learning and gamification, and blended learning and flipped classroom models. The article analyzes empirical evidence on the effectiveness of these technologies, including a comparative study of mobile and traditional instruction, systematic reviews of AR/VR and K-12 EFL, as well as experimental data on the use of ChatGPT for developing speaking skills. The article discusses implementation challenges, including the digital divide, lack of teacher training, algorithmic bias, risks of plagiarism, and linguistic homogenization. Finally, it formulates conditions for the responsible integration of AI: the development of AI literacy, human-in-the-loop pedagogy, and the design of tasks that require critical thinking rather than mere output generation.
    Keywords:
    artificial intelligence, virtual reality, blended learning, gamification, mobile-assisted language learning
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  • Modern technologies in education: classification, effectiveness, and integration strategies

    Conference Paper
    Education, innovation, research as a resource for community development
    Authors:
    Egor D. Tyurin, Ivan A. Rossiyskiy, Nina E. Ioffe
    Work direction:
    Современные технологии в образовании
    Abstract:
    This paper examines modern educational technologies across six functional categories: learning management systems, artificial intelligence tools, virtual and augmented reality, gamification platforms, cloud collaboration tools, and MOOC platforms. Based on empirical research from 2021 to 2025, the study evaluates the effectiveness of each technology type, identifies key implementation challenges, and proposes an evidence-based framework for strategic technology integration.
    Keywords:
    modern educational technologies, artificial intelligence in education
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  • Economic efficiency of generative AI implementation in companies

    Conference Paper
    Strategies of Sustainable Development: Social, Law and External-economic Aspects
    Authors:
    Valery V. Polovinkin, Elizaveta E. Solozhenkina
    Work direction:
    Вопросы социально-экономической эффективности предприятий
    Abstract:
    This study examines the economic efficiency of generative artificial intelligence in the context of its widespread adoption in business. Based on an analysis of international studies and corporate case studies, it has been found that generative AI increases productivity and the quality of work. However, the outcome depends on the type of tasks, employee qualifications and the degree of integration into business processes. It has been established that the key effectiveness factor is the extent of the technology’s integration into the company’s operational activities.
    Keywords:
    companies, business processes, generative artificial intelligence, cost-effectiveness, labour productivity
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  • Digital tools in teaching English to first-year university students

    Conference Paper
    Pedagogy, Psychology, Society: from theory to practice
    Authors:
    Ilya A. Andreev, Nikita S. Ibrishim, Anastasia A. Kukleva
    Work direction:
    Цифровая трансформация образования
    Abstract:
    This paper examines the effectiveness of digital tools in English language classes for first-year university students. Based on personal experience and academic literature analysis (2021–2025), the authors propose a five-category classification of digital resources, evaluate their impact on specific language skills and student motivation, compare digital and traditional approaches, and offer recommendations for phased integration during the first-year adaptation period.
    Keywords:
    higher education, artificial intelligence, digital tools, gamification, English language teaching, digital transformation of education, student motivation, first-year students, learning management systems, mobile-assisted language learning
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  • The use of automated writing evaluation systems in foreign language teaching as an element of digital transformation in education

    Conference Paper
    Education in the 21st Century: Challenges, Practices, and Development Trends
    Authors:
    Leela G. Gurbanova, Yana V. Kukhtina
    Work direction:
    От традиционной школы к образованию будущего: поиск эффективных решений
    Abstract:
    The article examines the potential of Automated Writing Evaluation (AWE) systems in foreign language teaching within the context of digital transformation in education. It analyzes the theoretical foundations of AWE implementation, their functional capabilities, and their pedagogical value in developing learners’ writing competence. Particular attention is paid to the advantages of automated feedback, including immediacy, increased learner autonomy, and enhanced motivation. The study includes a comparative analysis of students’ written work before and after the use of an AWE system, revealing a reduction in language errors and an overall improvement in writing quality. At the same time, certain limitations are identified, such as insufficient accuracy in assessing semantic content and the risk of superficial error correction. The study concludes that AWE systems are most effective when integrated into the educational process in combination with teacher guidance.
    Keywords:
    artificial intelligence, foreign language teaching, digitalization of education, feedback, Automated Writing Evaluation, AWE systems, writing competence
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  • The Art of Accurate Requesting: How can a psychologist get the most out of neural networks?

    Conference Paper
    Psychological and Pedagogical Research – Tula Region
    Authors:
    Viktoriia M. Demina, Elizaveta R. Fedina, Elena I. Turevskaia
    Work direction:
    Специфика профессиональной деятельности специалистов психологического профиля в современной информационно-образовательной среде
    Abstract:
    The use of artificial intelligence in psychological practice has elicited mixed reactions from professionals, ranging from full integration into their professional activities to rejection and distrust. The question remains open as to the conditions under which neural networks can serve as effective assistants for psychologists, without replacing professional empathy and clinical thinking, and without being perceived by professionals as a competitor that threatens their position in the job market. This article explores one of the conditions for the effective collaboration between psychologists and neural networks: the "art of precise requests," which involves the ability of a professional to formulate tasks for AI in a manner that is appropriate for their professional context.
    Keywords:
    empathy, neural networks, artificial intelligence (AI), clinical thinking, pshychological practice, the art of precise prompting, AI integration, survey of psychologists, prompt
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  • Leader Creativity in the Age of Artificial Intelligence: From an Individual Competence to the Architecture of a Creative Ecosystem

    Conference Paper
    Coaching psychology: methodology, theory, practice. Evidence-based approach
    Author:
    Talina M. Vengrzhnovskaia
    Work direction:
    Техники и инструменты коучинга
    Abstract:
    The article examines leader creativity as a key competence that determines the innovativeness and resilience of an organization in conditions of digital transformation. Based on a meta-analytic review of 266 studies, it is shown that authentic, empowering, and entrepreneurial leadership styles demonstrate the strongest associations with team creative performance. The "leader's triangle" model (strategy — creativity — AI) is presented, describing the new role of the leader as the architect of a human-machine creative ecosystem. The connection between leader creativity and the author's fractal model of leadership potential is demonstrated, and the role of the author's art-coaching method as an instrument for developing creative competence is substantiated.
    Keywords:
    innovation, management, artificial intelligence, human potential, leadership competencies, managerial mindset profiles, leadership types, leader creativity, creative leadership, art-coaching, creative ecosystem, two-circuit model

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

    Conference Paper
    Coaching psychology: methodology, theory, practice. Evidence-based approach
    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. Evidence-based approach
    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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