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List of publications on a keyword: «intelligence»

  • Artificial intelligence in teaching Russian as a foreign language: opportunities and prospects

    Proceeding
    Education, innovation, research as a resource for community development
    Authors:
    Alisa E. Mozheevskaia, Mariia V. Khairullina
    Work direction:
    Современные технологии в образовании
    Abstract:
    The article discusses modern approaches to teaching the Russian language as a foreign language using artificial intelligence (AI) technologies. This topic is relevant due to the growing importance of learning the Russian language for international students in Russia, which contributes to their professional mobility and expansion of opportunities in the international job market. The paper analyzes the potential integration of AI into the Russian as a second language (RCT) learning process, examining the benefits and limitations of this approach. It also focuses on personalizing the educational experience through the use of tools such as intelligent chatbots, automated speech processing and recognition systems, and gamified learning platforms.
    Keywords:
    artificial intelligence, Russian as a foreign language, neural networks, personalized learning, international students, innovative technology
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  • Improvement of the strategy and tools for intercultural adaptation of foreign students

    Book Chapter
    Psychological and pedagogical issues of modern education
    Authors:
    Natalia L. Smit, Sergei V. Ilkevich
    Work direction:
    Глава 6
    Abstract:
    The development of educational export is an important strategic task both for Russian universities at the institutional level, allowing them to increase the level of global competitiveness, and at the state level, ensuring the implementation of the principles of the «soft power» strategy. Both of these goal-settings contribute to the achievement of national interests through attraction and persuasion. To increase the efficiency of the export of Russian education and high-quality training of specialists for the global labor market, it is necessary to develop effective methods, mechanisms and technologies for improving the intercultural adaptive environment of educational organizations, which became the main goal of this study. Cultural diversity is a key value guide for the classification of cultures of peoples and countries, as well as an important criterion for the effective management of multicultural groups and organizations. In the context of educational organizations, cultural diversity is becoming a powerful driver for the development of competencies in the host institutions for foreign students, but it is important to systematically approach all components of an intercultural adaptive environment based on the implementation and scaling of best practices. In this study, based on a sociological survey of foreign students in Russian universities, priority adaptation tools are systematized both along the internal contour of the educational organization, as well as and in external bilateral and network interactions. The research recommendations are both strategic in nature, defining the fundamental tasks of educational organizations to create an intercultural adaptive environment, and of an applied and methodological nature, based on proposals regarding the development of specific tools for intercultural adaptation.
    Keywords:
    higher education, educational organization, tutor, university, student-centered learning, internationalization, intercultural interaction, international students, cultural adaptation, academic adaptation, adaptive environment, intercultural communications, cultural intelligence, diversity management, cross-cultural trainings
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  • The impact of using chatbots on learning a foreign language in a non-linguistic university

    Book Chapter
    Psychological and pedagogical issues of modern education
    Author:
    Elena G. Liakhova
    Work direction:
    Глава 7
    Abstract:
    The relevance of this study is determined by the fact that artificial intelligence and neural network chatbots are playing an increasingly important role in higher education; they often take over traditional methods of teaching a foreign language in non-linguistic universities. At the same time, the issue of the advantages of using artificial intelligence in teaching a foreign language remains open. The purpose of the chapter is to analyze the advantages and disadvantages of using neural network chatbots in the process of teaching a foreign language in comparison with traditional teaching methods. To achieve this goal, the author uses experimental teaching of English to first-year future culturologists. As a result of the study, it was found that the process of assimilation of foreign language material when teaching a foreign language using chatbots differs from the process of assimilation while teaching traditionally. Significant differences were noticed at the stages of formation of motivation, presentation of new foreign language material, comprehension and rethinking of the new lexical and grammatical material. Such phenomena as clip thinking, the Google effect, and the devaluation of students’ memory with the constant use of digital devices have a particularly strong influence on changes in the learning process. Techniques are proposed to neutralize the negative impact of neural network learning on students, when implemented, an increase in the effectiveness of teaching a foreign language using neural network chatbots is observed.
    Keywords:
    artificial intelligence, clip thinking, increasing the efficiency of teaching a foreign language in non-linguistic universities, neural network chatbots, cultural studies, mastering foreign language lexical and grammatical material
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  • Hidden threats to the digital transformation of agriculture

    Book Chapter
    Principles of building a new ecosystem: social, economic and legal aspects
    Author:
    Elena V. Shchedrina
    Work direction:
    Глава 4
    Abstract:
    The chapter is devoted to digital innovations and technologies that open up wide opportunities for agricultural production: management and monitoring of facilities in remote areas, herd management, monitoring of basic vital signs of animals, monitoring the accuracy of fertilizer application, forecasting adverse natural phenomena, maintaining distributed databases on land purchase and lease transactions, and others relevant directions. Industry 4.0 involves the active use of the latest digital technologies, tools and services in the daily activities of a modern agricultural engineer, agronomist, animal technician, veterinarian and other industry specialists. The author consider the process of active digital transformation of the agro-industrial complex industry as an inevitable way of forming a digital footprint, which can have a negative impact on the formation of the carbon footprint and the environment as a whole. Direct and indirect ways to minimize the carbon footprint by reducing the digital footprint in agricultural production are described. In conclusion, the conclusions are formulated that digital technologies contribute to improving the efficiency of modern digital agricultural production: presentation of information in various forms, automation of calculations, analysis of large amounts of data, decision support, etc. Limitations are also highlighted: uneven wireless coverage in agriculture, difficulties in maintenance and repair of robots and unmanned aerial vehicles, cybersecurity, lack of a legal framework, and a low level of digital culture.
    Keywords:
    artificial intelligence, digitalization, digital transformation, digital technologies, digital hygiene, digital footprints, smart agricultural production, digital agricultural engineer
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  • ARTIFICIAL INTELLIGENCE IN EDUCATION: DEVELOPMENT HISTORY AND FUTURE PROSPECTS

    Proceeding
    Relevant problems of modern science and education
    Author:
    Zhibek S. Begimbaeva
    Work direction:
    Инновационный опыт науки и образования в современном обществе
    Abstract:
    This article examines the evolution of artificial intelligence (AI) in the educational sector, focusing on its key developmental stages. The author explores the significant ways in which AI has transformed education by enabling personalized learning, enhancing the overall quality of education, increasing access to a variety of educational resources, and relieving educators from repetitive and time-consuming tasks. AI has proven effective in adapting to the diverse needs of students, fostering individualized learning experiences, and promoting more efficient teaching methods. However, the article also addresses important concerns, such as ethical issues, data privacy risks, and the dangers of over-automation, which could undermine the human element in education. Despite these challenges, the author argues that AI has the potential to greatly improve educational processes. It is essential, however, to ensure that AI is used as a supportive tool for teachers and students rather than a substitute, with careful consideration of its implications for the future of education.
    Keywords:
    history, development, artificial intelligence, educational technologies, history of AI development
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  • Problems and prospects of using unmanned aerial vehicles in monitoring oil and gas fields

    Proceeding
    Relevant problems of modern science and education
    Authors:
    Mansur E. Sibgatullin, Lenar R. Giliazov
    Work direction:
    Инновационный опыт науки и образования в современном обществе
    Abstract:
    The article examines the problems and prospects of using unmanned aerial vehicles for monitoring oil and gas fields, emphasizing their importance in the context of growing demand for hydrocarbons and stricter environmental standards.
    Keywords:
    artificial intelligence, unmanned aerial vehicles, environmental safety, field monitoring, oil and gas industry
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  • THE FUTURE OF TAXATION IN THE CONDITIONS OF THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE

    Proceeding
    Socio–economic landscape of the region: growth investments
    Author:
    Ol'ga S. Grigorenko
    Work direction:
    Налоговое регулирование
    Abstract:
    The article examines the role of artificial intelligence in tax regulation. The advantages of using technology to improve reporting accuracy, automate routine tasks, and detect tax fraud are discussed. The risks associated with the introduction of artificial intelligence in the tax sphere are considered, including issues of information confidentiality and the need for employee training. The introduction of technology into tax regulation can significantly improve the efficiency and transparency of tax systems, but requires a careful approach to ethics and legal regulation.
    Keywords:
    improvement, artificial intelligence, optimization, support, fraud, tax regulation, tax evasion, addiction
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  • Coaching as a tool for adapting to the pace of the development of activities in the age of artificial intelligence (AI)

    Proceeding
    Coaching psychology: methodology, theory, practice
    Author:
    Kseniia I. Pirogova
    Work direction:
    Varia (we accept materials in other areas that correspond to the topic of the conference)
    Abstract:
    In recent years, we have seen the pace of development of artificial intelligence (AI) increase. AI-based tools are increasingly embedded in professional activities, and people need to adapt to these changes. We've been talking about information overload for decades, and now the environment is even more stressful. Difficulties in maintaining concentration for long periods of time, conscious action, self-organisation and self-regulation are already being experienced in adolescents. The text analyses how AI affects the pace of life, and the problems this causes. Tools for coping are offered, with a focus on coaching as a solution to current challenges. Limitations and opportunities are critically examined through cognitive psychology and research on other approaches. Alternative solutions that take into account the limitations of the tool and its impact on resilience are also mentioned. The article is aimed at a wide audience interested in the impact of AI on human adaptive capacity.
    Keywords:
    adaptation, artificial intelligence, self-regulation, metacognitive strategies, coaching, pace of life, information overload, self-organisation
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  • The relationship between emotional intelligence and negative mental states of students

    Research Article
    Development of education Volume 8 No 1
    Authors:
    Irina A. Solovyova, Svetlana A. Solovyova, Natalia Y. Evsyukova
    Work direction:
    Psychology in Education
    Abstract:
    The period of study at a higher education institution is accompanied by significant cognitive and emotional stresses associated with academic requirements, social adaptation and professional self-determination. These factors create prerequisites for the occurrence of stressful situations and the intensification of negative mental states such as anxiety, frustration, aggressiveness and rigidity. Under conditions of chronic stress, these conditions can develop into maladaptive behaviors, reducing academic motivation and worsening students' overall mental health. The article examines the relationship between the level of emotional intelligence, previously differentiated on the basis of the analysis into three groups (high, medium and low levels), and the severity of negative mental states, including situational and personal anxiety, frustration, aggressiveness and rigidity, which made it possible to identify the features of their mutual influence in the student sample. The data allow us to conclude that the level of emotional intelligence has a moderating effect on the intensity of experiencing negative mental states among students, where a high level of emotional intelligence contributes to a decrease in the severity of all negative states studied, while a low level of emotional intelligence is associated with their intensification. It is concluded that it is necessary to include emotional intelligence development programs in the educational process in order to increase the psychological stability of students and their adaptation to learning conditions.
    Keywords:
    educational environment, students, emotional intelligence, aggressiveness, self-regulation, anxiety, psychological adaptation, negative mental states, frustration, rigidity
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  • Prava na intellektual'nuiu sobstvennost', sozdannuiu s primeneniem iskusstvennogo intellekta

    Proceeding
    Strategies of Sustainable Development: Social, Law and External-economic Aspects
    Authors:
    Il'ia I. Eliseev, Semenov I. Evgenevich, Irina A. Fedorova
    Work direction:
    Современные тенденции развития мирового сообщества
    Abstract:
    Статья рассматривает современное состояние внедрения искусственного интеллекта (ИИ) в различных сферах жизни, акцентируя внимание на его способности генерировать содержательные объекты, которые могут подпадать под правовую защиту. Обозреваются законодательные инициативы в России и за рубежом, что позволяет понять, как концепция ИИ переосмысляется в правовом контексте. Особое внимание уделяется необходимости законодательного регулирования правоспособности ИИ и его роли в системах интеллектуальной собственности. Статья подчеркивает важность сохранения человеческого творчества в условиях роста автономности технологий ИИ.
    Keywords:
    artificial intelligence, intellectual property, generation, copyright, legal capacity, legal protection
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  • The method of body metaphor in health and well-being coaching using the example of respondents with endocrine disorders

    Book Chapter
    Pedagogy and Psychology as Sciences for the Formation of the Potential of Modern Society
    Authors:
    Dmitrii S. Zanin, Marina M. Golubeva
    Work direction:
    Глава 9
    Abstract:
    Today health & wellness coaching requires new approaches and effective solutions; in order for the client to comply with the instructions and adjust the lifestyle so that it contributes to his recovery, the skill of self-regulation, which is one of the components of emotional intelligence, is necessary. Despite the fact that the ways of regulation and the regulation itself belongs to medicine, the models of self-organization, for example, the experiencing of a body metaphor, is a branch of practical psychology. Therefore we have chosen endocrine disorders to examine as a system-forming unit for the organization of human behavior patterns. That is why, as a sample, we were interested in people with endocrine disorders; the physiology of human activity involves two ways of regulation – neural and humoral ones. The humoral one is determined by the presence or absence of neurotransmitters, which act as hormones and are considered in the endocrine system. According to this, a sample of people with endocrine diseases will have difficulties in self-organization processes. Due to cognitive theory, which studies ways of storing and processing information in the human mind, a metaphor is «the one of the main ways of understanding the world, when we think about one sphere in terms of another, thus classifying reality» [22]. Since the first sphere of human experience is one's own body, there are figurative and schematic concepts in mind that are recognized as some understandable and familiar structures because of previous body experience. And further they are applied to abstract concepts as well. In the process of recognition, in addition to comparison with familiar images, we can also see a comparison with the body, the signal from which can be positive, neutral and negative, which determines the emotional coloring of the resulting image. In this study we will test the effectiveness of working with the body metaphor in health & wellness coaching with people facing endocrine disorders through the development of their emotional intelligence. To take part in the study we invited 60 men and women aged 20 to 35 years upcoming outpatient treatment in the field of endocrine disorders. The respondents have completed our coaching program including the body metaphor method, and the following measurements were taken before and after the program: the test of emotional intelligence (the technique of Nicholas Hall) Author: E.P. Ilyin (2021); Body image questionnaire (OBI). Authors: O.A. Skugarevsky, S.V. Sivukha (2006); Psychological Stress Scale (PSM-25). Adaptation: N.E. Vodopyanov (2009); Emotional Intelligence Test (EmIn-Kr). Authors: D.V. Lusin, A.A. Pankratova, D.S. Kornienko (2022). The results of the study show statistically significant changes according to the Wilcoxon T-test (p < 0.05), which confirms the effectiveness of using methods of body metaphor in the development of emotional intelligence in people with endocrine disorders.
    Keywords:
    emotional intelligence, amp, endocrine disorders, holistic approach, body metaphors, health &amp;amp, wellness coaching
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  • Tekhnologii mediabezopasnosti: metody protivodeistviia feik-kontentu v tsifrovykh media

    Book Chapter
    Development of the Russian socio-economic system: challenges and prospects
    Author:
    Natalia G. Mironova
    Work direction:
    Глава 14
    Abstract:
    Digital technologies make it possible to automate the processes of disinformation and information warfare, launch fakes promptly and on a large scale, organize information interventions to shift public attention from one information agenda to another, to conduct information and psychological operations, and to have a certain impact on the consciousness and behavior of target groups. Fakes circulate not only in pop media and propaganda channels, but also penetrate into journalism, educational content, and scientific discourse, not only as a subject of scientific research, but also as a result of falsification; the phenomenon of fake journalism and journalism that ignores the high standards and principles of the profession has emerged. In the dense flow of rapidly updating information, attentive perception is difficult, it is difficult to distinguish between truth and falsification, and to obtain reliable information about events; Society is under unprecedented pressure from digital media disinformation, undermining trust in social institutions and social communication channels. These circumstances actualize the issues of improving the methodology and tools for verifying information and recognizing fake content in online media. The purpose of the study is to analyze the signs of fake media content and improve methods of countering disinformation in the media space. Results: the goals and motives of fake creators and distributors, signs and technologies of digital content falsification are investigated, approaches to combating fakes and falsification of information in online media are analyzed, the effectiveness of various technologies for detecting fake content and countering its influence is assessed. The concept of a comprehensive system for countering fakes in the digital space is outlined. One of the conclusions of the study is that countering the influence of fake online media content is not limited to technical and regulatory solutions, since the mechanisms of this influence are socio-psychological; cognitive sciences can provide a methodology for effectively countering deception and manipulation. The study is aimed at media security specialists.
    Keywords:
    artificial intelligence, media security, fake, deepfake, generative neural networks, neural network content detectors, methods of countering disinformation, and forensics
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  • Development of emotional intelligence of preschool children through artistic and aesthetic activities

    Proceeding
    Socio-Cultural and Psychological Problems of the Modern Family: Current Issues of Assistance and Support
    Authors:
    Irina V. Fedotkina, Elena N. Volkova
    Work direction:
    Семейные перспективы человека в изменяющемся мире
    Abstract:
    The article gives the concept of emotional intelligence, examines the features of the emotional intelligence of children of younger preschool age and describes the techniques and methods of developing the emotional intelligence of children of younger preschool age in the field of "Artistic and aesthetic development"
    Keywords:
    emotional intelligence, modeling, drawing, music, preschool child, reading fiction, listening to music
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  • Digital transformation of education: new horizons and challenges of modern education

    Proceeding
    Pedagogy, Psychology, Society: from theory to practice
    Author:
    Inna G. Iglinskaia
    Work direction:
    Цифровая трансформация образования
    Abstract:
    The article examines the key aspects of the digital transformation of education, which radically changes approaches to education and upbringing. The article analyzes new horizons opening up due to the introduction of modern technologies such as artificial intelligence, online platforms and interactive tools. The advantages are discussed, including the availability of educational resources and the individualization of the educational process. At the same time, attention is focused on the challenges faced by educational institutions and teachers, such as the need to improve digital literacy, ensure data security and adapt to rapidly changing conditions. The article offers recommendations for the successful integration of digital technologies into educational practice, emphasizing the importance of a balance between traditional teaching methods and innovation.
    Keywords:
    education, digital literacy, online learning, artificial intelligence, digital transformation, innovative technologies, educational platforms, individualization of learning, new horizons, interactive tools, accessibility of educational resources, challenges of modern learning, data security, adaptation to changes, traditional methods of learning
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  • Research on the training and promotion path of International Chinese teachers in the Era of artificial intelligence

    Proceeding
    Pedagogy, Psychology, Society: from theory to practice
    Author:
    Siui Menmeng
    Work direction:
    Филология в системе образования
    Abstract:
    The emergence of the artificial intelligence era presents both opportunities and challenges for international Chinese education. As the primary force in this educational domain, the development and enhancement strategies for international Chinese teachers must evolve in tandem with contemporary advancements. This study offers a comprehensive analysis of artificial intelligence's impact on international Chinese teachers, encompassing teaching methodologies, educational resources, and the evolving roles of educators. Based on these findings, the research proposes specific pathways for the training and professional development of international Chinese teachers. These recommendations address teacher education curriculum design, enhancement of training systems, development of practical platforms, and fostering international collaboration to meet the evolving needs of international Chinese education in the artificial intelligence era.
    Keywords:
    artificial intelligence, international Chinese teachers, training status and improvement path
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  • Rol' iskusstvennogo intellekta v transformatsii traditsionnykh metodov obucheniia: razvitie rechevoi deiatel'nosti uchashchikhsia cherez obrazovatel'nye proekty

    Book Chapter
    Questions of Education and Psychology
    Authors:
    Altynai M. Iusupova, Chynarkan A. Gaparova, Malokhat K. Madumarova
    Work direction:
    Глава 3
    Abstract:
    This chapter examines the impact of artificial intelligence on the transformation of traditional teaching methods, with an emphasis on the development of students' speech activity. The authors analyzed the use of educational projects integrating AI technologies to improve the effectiveness of the educational process. The study includes examples of successful practices and a discussion of pedagogical approaches that promote active involvement of students in speech activity. Potential difficulties and opportunities arising from the introduction of artificial intelligence into the educational environment are also considered. The study emphasized the importance of innovative approaches to teaching and the need to prepare teachers to work with new technologies to achieve high-quality learning results.
    Keywords:
    educational process, teacher, students, artificial intelligence, teaching methods
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  • Information technology as a driver of entrepreneurship development

    Proceeding
    Innovative approaches to management in economic, technical and legal systems
    Author:
    Andrei V. Minakov
    Work direction:
    Информационные технологии в управлении бизнесом
    Abstract:
    The relevance of the study is associated with the growing importance of digital technologies for ensuring the growth of the contribution of the business sector to the sustainable development of the Russian economy. Research methods: analytical, comparative, deductive, inductive, systemic. The study identified current trends in the digitalization of the Russian business sector (the predominant distribution of cloud services, big data-based solutions, the Internet of Things while maintaining a wary attitude towards artificial intelligence technologies, "digital twin"), and identified problems associated with the concentration of investments in digitalization projects in the financial and IT sectors, the ongoing shortage of solutions from Russian developers, the need for grant, advisory and educational support for entrepreneurs.
    Keywords:
    information technology, Big Data, artificial intelligence, cloud services, Internet of Things, small and medium business, Business sector
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  • Using artificial intelligence to improve business efficiency

    Proceeding
    Innovative approaches to management in economic, technical and legal systems
    Author:
    Inna G. Iglinskaia
    Work direction:
    Информационные технологии в управлении бизнесом
    Abstract:
    The article examines the role of artificial intelligence (AI) in improving the efficiency of business processes. In the context of rapid technological progress, companies are faced with the need to adapt to new realities, and AI is becoming a key tool for achieving competitive advantages. The main areas of AI application are analyzed, including automation of routine tasks, improvement of customer service, forecasting consumer behavior and optimization of resource management. Special attention is paid to examples of successful AI implementation in various industries such as finance, retail and manufacturing. The challenges and risks associated with the integration of AI into business, including issues of ethics and data protection, are also discussed. The article emphasizes the importance of a strategic approach to the introduction of AI technologies, as well as the need to train personnel to work with new tools. In conclusion, conclusions are drawn about the prospects of using AI to in
    Keywords:
    competitive advantages, machine learning, digital transformation, data analysis, personnel training, forecasting, Artificial intelligence (AI), data protection, business efficiency, process automation, customer service, resource optimization, business innovation, AI ethics, strategic implementation
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  • Artificial intelligence and neural networks: a dual risk factor and a resource in ensuring psychological security.

    Proceeding
    Psychologically Safe Educational Environment: Design Problems and Development Prospects
    Authors:
    Inna G. Iglinskaia, Anastasiia V. Petrakova
    Work direction:
    Psychological Support of Students with Special Educational Needs
    Abstract:
    The article examines the dual aspects of the influence of artificial intelligence (AI) and neural networks on human psychological security. On the one hand, AI technologies can serve as a powerful tool for improving mental health by offering personalized solutions and support in crisis situations. On the other hand, their use is also associated with risks such as loss of privacy, manipulation of consciousness and dependence on technology. The influence of algorithms on the formation of public opinion and the emotional state of users is analyzed, as well as the ethical and legal aspects of the introduction of AI in areas related to mental health are considered. In conclusion, the need to develop comprehensive strategies aimed at minimizing risks and maximizing the resources provided by new technologies to ensure psychological security in modern society is emphasized.
    Keywords:
    artificial intelligence, mental health, psychological safety, public opinion, emotional state, algorithms, ethical aspects, confidentiality, technology risks, personalized solutions, mind manipulation, dependence on technology, innovations in psychology, risk minimization strategies
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  • Информационные технологии в сфере бизнеса

    Proceeding
    Law, Economics and Management
    Authors:
    Polina S. Shirchkova, Tatyana L. Fomicheva
    Work direction:
    Экономика предпринимательства
    Abstract:
    The article examines the use of information tools in business and their importance for improving communication and collaboration. Key examples of the use of information technology in business and marketing are given, including the introduction of chatbots, artificial intelligence and machine learning to analyze consumer behavior.
    Keywords:
    information technology, efficiency, artificial intelligence, marketing, automation, cybersecurity, business analytics and forecasting
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  • Research on the Evaluation System of Children's Vocal Music Courses Based on PBL-CBL Model under the Background of Artificial Intelligence

    Proceeding
    The Topical Issues of the Humanities and Social Sciences: from Theory to Practice
    Author:
    Yun Gao
    Work direction:
    Социальные процессы и образование
    Abstract:
    This research examines the development of an evaluation system for children's vocal music courses, grounded in the integration of Problem-Based Learning (PBL) and Case-Based Learning (CBL) models within an Artificial Intelligence (AI) context. By leveraging AI technologies and the PBL-CBL model, the study aims to assess the effectiveness of these innovative teaching approaches in enhancing children's learning experiences, particularly in fostering ideological and political awareness through vocal music education. The focus is on exploring how AI-powered evaluation can contribute to optimizing course delivery and student outcomes within the realm of online and blended learning environments.
    Keywords:
    artificial intelligence, children's vocal music courses, PBL-CBL model
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  • Digital platforms and ecosystems of the sports industry

    Book Chapter
    Principles of building a new ecosystem: Economic, legal and social aspects
    Author:
    Elena G. Kostenko
    Work direction:
    Глава 8
    Abstract:
    Modern technologies allow collecting and analyzing training and competition data, improving professional training of athletes, managing teams and conducting technical analysis. Digital platforms and ecosystems of the sports industry help athletes improve their performance, optimize training processes, predict and analyze test results, and attract people of all ages to physical education and mass sports.
    Keywords:
    artificial intelligence, digitalization, platforms, neural networks, applications
    Go 

  • Teaching a Foreign Language in a Non-Linguistic University in the Era of Digitalization

    Book Chapter
    Modern Challenges of Education and Psychology of Personality Formation
    Author:
    Elena G. Liakhova
    Work direction:
    Глава 9
    Abstract:
    This research is devoted to the study of the problem of cognitive risks arising as a result of the digitalization of education, in general, and teaching a foreign language in a non-linguistic university, in particular. The research method used is a comparative analysis of approaches to teaching a foreign language using artificial intelligence and traditional methods of teaching a foreign language in a non-linguistic university. As a result of the study, the author comes to the conclusion about the need to combine traditional methods of teaching a foreign language with innovative methods using neural networks.
    Keywords:
    teaching foreign languages, artificial intelligence, neural networks, non-linguistic university, cognitive risks
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  • Influence and interaction: art, design and advanced technology

    Book Chapter
    Issues of modern design education
    Authors:
    Tamam M. Ramazanova, Alina V. Chalaia
    Work direction:
    Глава 5
    Abstract:
    Covers a list of analytical and original scientific research, the result of creative activity in the field of creating innovations in costume design and communications, design and manufacturing technology of fashion industry objects; consideration of the concept of creating design products and solutions that are not only functional and comfortable, but also have deep aesthetic and cultural content. The implementation and elaboration of the designated concept is due to the fact that design and art are closely related and these large areas today are very closely intertwined, enriching each other. Design often takes inspiration from art, using its elements, techniques and ideas to create new products, services and spaces, and art, in turn, uses design methods and approaches to expand its influence and achieve greater relevance and social significance in relation to costume design on the example of the creativity of modern world designers and students of the Department of Computer Science and Design of ISOiP (branch) of DSTU in Shakhty.
    Keywords:
    design, technology, collection, artificial intelligence, fashion, collaborations, artists, designers, trend
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  • The use of artificial intelligence in the additional education of schoolchildren in teaching the Chinese language

    Proceeding
    Current trends in the development of education system
    Authors:
    Kamilia R. Gimaletdinova, Anastasiia V. Rodionova
    Work direction:
    Инновационные технологии как ресурс повышения качества образования
    Abstract:
    The article explores the potential of applying artificial intelligence (AI) to optimize the process of teaching Chinese to school students in supplementary education. An analysis of existing methods of Chinese language learning is conducted, and key challenges faced by students are identified. The study concludes that AI holds promise for personalized Chinese language instruction.
    Keywords:
    artificial intelligence, supplementary education, personalized learning, Chinese language learning, school students, learning effectiveness
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