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List of publications on a keyword: «artificial intelligence»

  • Tsifrovizatsiia vysshego obrazovaniia v Rossii v usloviiakh mezhdunarodnykh sanktsii: teoreticheskie i prakticheskie aspekty

    Book Chapter
    Issues of education and psychology
    Author:
    Svetlana V. Kovalenko
    Work direction:
    Глава 3
    Abstract:
    This chapter analyzes the digital transformation of Russia's higher education system under sanctions pressure. Key challenges related to the revocation of foreign software licenses, the cessation of access to international scientific databases, and restrictions on academic mobility are discussed. Based on an analysis of strategic documents and empirical data, the paper proposes the development of a new model of digital sovereignty in higher education, combining technological independence with the preservation of the quality of the educational process
    Keywords:
    higher education, artificial intelligence, digital educational environment, digitalization of education, digital sovereignty, state policy in the field of import substitution
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  • Systemic transformation of the institute of mentoring in higher education institutions: models, problems and development prospects

    Book Chapter
    Issues of education and psychology
    Author:
    Kirill A. Novoselov
    Work direction:
    Глава 5
    Abstract:
    The chapter considers the transformation of the institute of mentoring in the modern system of higher education in Russia. In the context of the rapid transformation of the labor market, the classical model of knowledge transfer is giving way to the concept of joint construction of meanings, where mentoring becomes a key mechanism for ensuring the quality of education and socialization of graduates. The purpose of the study is a comprehensive analysis of the role, functions and models of mentoring, as well as identifying the prospects for its development, taking into account the integration of digital technologies. A comparative analysis of various models has been carried out, their strengths and weaknesses have been identified. A transition to a comprehensive, systematic mentoring model is proposed, including regulatory support, digital infrastructure, and a motivation system. It is emphasized that the introduction of artificial intelligence technologies is able to personalize the process, automate routine tasks and increase the effectiveness of mentor-mentored interaction.
    Keywords:
    higher education, artificial intelligence, digital transformation, tutoring, professional development, mentoring, curation
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  • Psychological and pedagogical determinants of the organization of independent work of engineering students in the electronic information and educational environment of a digital university: a theoretical analysis

    Book Chapter
    Issues of education and psychology
    Authors:
    Nadezhda I. Chernova, Natalia I. Eremkina
    Work direction:
    Глава 7
    Abstract:
    The chapter notes that the transformation of higher education and the transition to the digital university model highlight the relevance of organizing independent work for students, particularly those in engineering disciplines, when learning a foreign language within the electronic information and educational environment (EIEE). Based on a theoretical analysis of scientific literature, key factors influencing independent work in a digital environment have been identified. It is established that psychological determinants include academic self-regulation, the motivational-volitional sphere, cognitive styles, language anxiety, and digital competence. Pedagogical determinants encompass modular design and microlearning, pedagogical support (scaffolding), critical integration of artificial intelligence tools, formative assessment, and gamification. A theoretical model for organizing independent work has been developed, comprising motivational-goal, content-operational, communicative-collaborative, and evaluative-reflexive components. The study concludes that the technological infrastructure of the EIEE requires specific pedagogical design and consideration of the psychological characteristics of engineering students. The findings of the study can be applied in the design of educational programs, the development of teaching materials, and the creation of support systems for independent work in digital universities.
    Keywords:
    foreign language, artificial intelligence, independent work, electronic information and educational environment, scaffolding, engineering students, digital university, psycho-pedagogical determinants, academic self-regulation, microlearning
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  • Using the potential of artificial intelligence in physical education and sports training of university students: experience and opportunities

    Book Chapter
    Issues of education and psychology
    Author:
    Spartak G. Aleksandrov
    Work direction:
    Глава 9
    Abstract:
    The chapter examines the prospects for using artificial intelligence (AI) and neural network technologies in physical education and sports activities of university students. The relevance of the study stems from the need to optimize the training process, individualize workloads, and increase student motivation for physical education amid funding constraints and time limitations. Based on theoretical analysis, pedagogical experiment, and sociological survey, it was found that 76.5% of students trust AI, 100% use it in various areas, while 58.8% consider limited AI use in sports acceptable. A comprehensive physical training program using the DeepSeek neural network was developed and tested, including a theoretical block, coordination development, sports training, health-improving activities, and recommendations on nutrition and daily routine. Potential threats posed by the spread of neural network technologies in sports are identified – for athletes, coaches, referees, journalists, and physical education teachers. It is concluded that AI solutions should serve as a complement to established physical training practices rather than a replacement for them.
    Keywords:
    innovation, technology, artificial intelligence, physical education, digitalization, sports, university students
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  • 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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  • 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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  • 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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  • 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:
    Теоретико-психологические основы эффективности коучинговой практики: российский контекст
    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
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  • 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:
    Цифровые инструменты и искусственный интеллект 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
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  • 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:
    Цифровые инструменты и искусственный интеллект 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
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  • 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, Daria 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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