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List of publications on a keyword: «IgE»

  • 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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  • INTERNAL STANDARDIZATION OF DUE DILIGENCE REPORTING AS A TOOL FOR IMPROVING INVESTMENT ATTRACTIVENESS AND FINANCIAL TRANSPARENCY

    Conference Paper
    The Russian economy in the context of modern challenges
    Authors:
    Erkin T. Shodiev, Dilmurod Sidikov
    Work direction:
    Обеспечение устойчивости предприятий реального сектора экономики в период нестабильности
    Abstract:
    This paper substantiates the need to develop and implement an internal standard for preparing due diligence final reports within audit organizations. The study argues that standardized reporting increases the analytical value, comparability, and practical usefulness of due diligence results for investors, creditors, owners, and corporate managers. The proposed approach is especially relevant under contemporary economic challenges, when investment decisions require timely, structured, and risk-sensitive information. The paper systematizes the purpose of the report, its users, structural sections, information sources, formats for presenting risk assessment outcomes, and the procedure for formulating conclusions and recommendations. As a result, an internal reporting standard is presented as an instrument for improving financial transparency, supporting investment attractiveness, strengthening audit-related services, and reducing information asymmetry in the decision-making process.
    Keywords:
    investment attractiveness, Due Diligence, audit services, internal standard, financial transparency
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  • Emotional Intelligence as a Factor of Resilience Against Online Recruitment by Destructive Communities

    Conference Paper
    Psychological and Pedagogical Research – Tula Region
    Authors:
    Angelina A. Mel'nikova, Elena S. Igonina, Svetlana A. Filippova
    Work direction:
    Проблемы обучения, развития, воспитания и социализации личности обучающегося в условиях цифровизации
    Abstract:
    The article examines the problem of youth involvement in destructive communities through online recruitment. It analyzes the psychological mechanisms used by recruiters to manipulate consciousness and substantiates the role of emotional intelligence as a key factor of psychological resilience to destructive influence. Based on a synthesis of current research and practical observations of the authors, an integrative model of the protective potential of emotional intelligence is proposed, encompassing the development of empathy, emotional self-regulation, and reflection.
    Keywords:
    emotional intelligence, manipulation, digital security, online recruitment, destructive communities, psychological resilience
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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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  • The relationship between emotional intelligence, growth mindset, and the pleasure of learning a foreign language with the psychological well-being of future linguistic educators

    Conference Paper
    Psychological and Pedagogical Research – Tula Region
    Author:
    Iuliia V. Frolova
    Work direction:
    Психология профессиональной деятельности: мотивация, карьерное развитие, самоменеджмент, командообразование
    Abstract:
    This article presents the results of an empirical analysis of the relationships between psychological well-being (the PERMA model) and professionally significant personal resources among linguistics students at a pedagogical university. A cross-sectional study was conducted on a sample of 100 fourth-year students. Using nonparametric statistics (Spearman's ρ, Mann–Whitney U test), the formation of a "resource cluster" was confirmed: growth mindset and foreign language learning enjoyment demonstrate a strong mutual relationship (ρ = 0.692), while emotional intelligence is most closely associated with well-being (ρ = 0.745). An analysis of extreme groups (25th/75th percentiles) revealed a significant superiority of students with high PERMA scores across all three resources (r = 0.45–0.61). A weak non-significant relationship was found between engagement and self-control (ρ = 0.193, p = 0.054), which does not contradict theoretical conceptions of engagement.
    Keywords:
    emotional intelligence, psychological well-being, PERMA model, growth mindset, foreign language learning enjoyment, pre-service language teachers
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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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  • Technological core: infrastructure

    Conference Paper
    The socio-economic landscape of the region: people and digital transformation
    Author:
    Vasilii N. Trukhan
    Work direction:
    Технологическое ядро: инфраструктура, данные и кибербезопасность
    Abstract:
    The development of modern technologies requires the corresponding development of infrastructure solutions that ensure the effective integration of new technological achievements into production processes and everyday life. This article explores the concept of a technological core and the design of infrastructure complexes to support innovative projects. It analyzes the challenges of integrating different levels of technological infrastructure and discusses the prospects for building universal platforms for implementing complex technical systems.
    Keywords:
    technologies, innovative projects, Infrastructure, integrated systems, technological core, and intelligent solutions
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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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  • 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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  • Transgenerational transmission of psychotrauma through the maternal line: neurobiological mechanisms and family consequences

    Conference Paper
    Social-Psychological Issues of a Contemporary Family: psychological and pedagogical support and mentoring
    Author:
    Svetlana A. Pavlenko
    Work direction:
    Социально-психологические условия воспитания и развития личности ребенка в семье
    Abstract:
    This monograph provides a comprehensive interdisciplinary analysis of the phenomenon known in the scientific literature as the "maternal curse" – a specific mechanism for the transmission of mental and behavioral patterns through the maternal line. The study integrates data from epigenetics, neuroscience, psychology, sociology, and esoteric traditions to create a holistic model of the transgenerational transmission of traumatic experiences. The process of formation of the biochemical "landscape" in the prenatal period is analyzed, which becomes an unconscious landmark for the human psyche throughout the rest of life. Neurophysiological mechanisms of consolidation of this pattern through hormonal systems (cortisol, dopamine, hypothalamic-pituitary-adrenal) are considered and ways of its transformation through conscious work with maternal trauma are proposed. It is proved that the healing process corresponds to a state of deep mental balance, described in spiritual traditions as samadhi,
    Keywords:
    neuroscience, maternal curse, epigenetics, prenatal programming, perinatal Grof matrices, transgenerational trauma, hypothalamic-pituitary-adrenal axis, cortisol, dopamine, samadhi, spiritual growth, interdisciplinary analysis
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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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