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List of publications on a keyword: «artificial intelligence»

  • Digitalization in the Teaching of Physical Education at a Higher Education Institution.

    Conference Paper
    The Topical Issues of the Humanities and Social Sciences
    Author:
    Шапошников Максим Владимирович
    Work direction:
    Тенденции развития цифрового образования
    Abstract:
    The article discusses current issues of digital transformation of physical education teaching at a higher educational institution. Key areas are analyzed: the organization of distance and blended learning, the improvement of assessment systems with the transition from formal attendance records to a point-rating system and a digital portfolio. The experience of Russian and foreign universities is summarized, and the main problems of implementing digital tools are identified. A comparative analysis of scientific and methodological literature is conducted, and the practical achievements of various universities are summarized.
    Keywords:
    artificial intelligence, distance learning, physical education, digitalization of education, point-rating system, higher education institution, video technologies

  • Intelligent Web Services and Semantic Technologies in Digital Educational Resources

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

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

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

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

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

    Conference Paper
    Digitalization in the education system: best practices and implementation practices
    Authors:
    Vera N. Semionova, Aliona E. Stepanova, Natalia G. Nikiforova, Galina I. Krasheninina, Natalia A. Galuzo, Elena K. Emelianova, Andrei P. Fedianin, Natalia S. Fedianina
    Work direction:
    Современные прикладные аспекты и технологии цифровизации образования и общества
    Abstract:
    Based on the analysis of the use of various digital technologies in the practical activities of preventive medicine practitioners and hygienists of various profiles, the authors substantiate the necessity and conditions for the introduction and expansion of such technologies in the educational process of training hygienists and epidemiologists, specialists in 32.05.01 “Medical and Preventive Care”. The methods used include the analysis of literature data and the results of own sociological research based on general scientific methodology, such as analysis and synthesis, induction and deduction, generalization, analogy, abstraction, description, measurement, and comparison.
    Keywords:
    education, artificial intelligence, digitalization, prevention, health, and hygiene
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  • Transformation of the Role of a Teacher of Socio-Humanitarian Disciplines in the Context of Digitalization of Education

    Research Article
    Development of education Volume 9 No 2
    Author:
    Irina V. Staroverova
    Work direction:
    Pedagogy and Modern Education
    Abstract:
    The article analyzes the changing role of the teacher of socio-humanitarian disciplines (SHD) in the context of the widespread adoption of generative artificial intelligence (AI) in the educational process. The aim of the study is to identify the directions of transformation of the professional position of the SHD teacher and to propose a model that enables the adaptation of the educational process to the new digital reality. It is shown that the traditional model of the teacher as the primary source of knowledge and an expert-controller no longer works when students have constant access to generative AI systems capable of producing coherent and outwardly persuasive responses. The “simulacrum effect” creates a particular vulnerability for SHDs: generative models can easily produce a passable philosophical or sociological essay without any genuine understanding of the content. The author argues that the new role of the SHD teacher involves shifting the focus from transmitting ready-made knowledge to teaching information literacy skills, including verification and prompt engineering. A three-level model of teacher role transformation is proposed: the methodological level (teaching verification and prompt engineering), the project-facilitation level (hybrid “human + AI” formats), and the ethical-reflexive level (defining the boundaries of acceptable AI use). A fourth, integrative level is also described, which is achieved upon mastering the previous three and involves the teacher transitioning to the role of academic mentor, guiding students through the research cycle of “generation – critique – reflection”. Based on practical experience, specific methods are described, such as the “three-layer essay” and “AI reviewer”, that enable the implementation of this model in the educational process. The proposed model transforms the teacher's role not toward competition with AI, but toward that of a mentor who cultivates critical thinking and research culture.
    Keywords:
    teacher, artificial intelligence, digitalization of education, critical thinking, ethics, generative neural networks, facilitation, social and humanitarian disciplines, teacher's role
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  • Development of the road network and economic security of the Russian Federation

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

  • Искусственный интеллект в коммерческом контенте: авторско-правовые риски и проблемы защиты интересов бизнеса

    Book Chapter
    Development of the Russian socio-economic system: challenges and prospects
    Authors:
    Artiom A. Gomolskii, Ekaterina S. Mitiachkina
    Work direction:
    Юридические науки
    Abstract:
    The article examines the legal aspects of using content generated with the assistance of artificial intelligence technologies in commercial activities. Particular attention is paid to issues of authorship and ownership of exclusive rights to intellectual property objects created with the participation of AI systems, as well as to the legal challenges of commercial exploitation of AI-generated content. The study analyzes risks associated with copyright infringement, trademark violations, protection of confidential information, and trade secret regimes. Special emphasis is placed on the role of human creative contribution as the key criterion for copyright protection of AI-assisted works. The paper also explores contractual mechanisms for risk allocation among business participants and addresses the use of artificial intelligence tools by employees and contractors. The author concludes that effective and legally secure use of AI-generated content requires not only compliance with intellectual property legislation but also the implementation of internal corporate policies aimed at risk management and protection of business interests.
    Keywords:
    artificial intelligence, digital technologies, intellectual property, neural networks, copyright, exclusive rights, trademark, legal risks, AI-generated content, trade secret

  • Цифровизация высшего образования в России в условиях международных санкций: теоретические и практические аспекты

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

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

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

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

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

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

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

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

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