Concept Of Intelligence Research Articles

Digital Technologies in the National Cadastre System of Uzbekistan: Issues of Legal Regulation

Objective: to critically analyze the state of national legislation of Uzbekistan in terms of legal regulation of digitalization and the use of artificial intelligence in the cadastral sphere.Methods: the research is based on such methods of scientific cognition as formal-legal and comparative-legal analysis, induction and deduction.Results: the provisions that regulate digitalization and the use of artificial intelligence in the cadastral sphere were analyzed, legal gaps were identified. It was determined that the practical application of artificial intelligence technologies outpaces its legal regulation. The shortcomings of legal regulation in this sphere were noted (lacking legal definition of the legal status of artificial intelligence in the national legislation; regulation of business entities’ participation in the management of artificial intelligence, etc.). The said shortcomings hinder its full application and harmonization with traditional sources of cadastral information. The author substantiated the need for universal digitization of the national cadastre and predicts the possibility of wider application of artificial intelligence in the natural-resource cadastral system. It is argued that the existing system in its current state may lead to wrong decisions and cadastral errors, hence, it is necessary to improve the legal regulation of cadastre.Scientific novelty: for the first time the results of the national cadastre digitization were assessed. Forecasts were given about the possibility of using artificial intelligence in this area, subject to further improvement of legal regulation. The latter is fundamentally important for reforming the cadastral system, since the technological basis of this system does not fully meet the needs of the digital economy.Practical significance: it is due to the lack of legal regulation of the artificial intelligence concept and legal status in the national legislation, as well as a unified approach to the cadastral system digitalization. Modern technologies are actively used in practice, but lack a sufficient legal basis. The main conclusions, proposals and recommendations of the study can be a basis for further improvement of the legal framework of Uzbekistan in terms of the application of artificial intelligence technologies.

‘Why Is the Chubby Guy Running?’: Trans Pregnancy, Fatness, and Cultural Intelligibility

ABSTRACTSince the late 2000s trans pregnancy has received increasing public and academic attention, and stories of the ‘pregnant man’ have become a media staple. Existing research has critiqued such spectacularization and the supposed tension between maleness, masculinity, and pregnancy that underpins it. Extending that work, this article draws on interview data from an international study of trans reproductive practices and analyzes participants' experiences of being, and expecting themselves to be, perceived in public space not as spectacularly ‘pregnant men’, but as fat men. As a starting point we take the experience of one participant whose heavily pregnant participation in a five‐kilometer race prompted the question: ‘Why is the chubby guy running?’ Using Judith Butler's concept of the cultural intelligibility of gender, we ask why the question asked was not: ‘Why is the pregnant guy running?’ We further consider the degree to which pregnant trans people manage their unintelligibility within the matrix of pregnancy, fatness, and trans/gender and how this reveals the limits of gender intelligibility itself.

The invisible becomes visible.

The concept of artificial intelligence is not new and the technology has been running in the background of our lives for some time. But as it now comes to the fore, questions have begun to emerge alongside it.

Political ideology shapes support for the use of AI in policy-making

In a world grappling with technological advancements, the concept of Artificial Intelligence (AI) in governance is becoming increasingly realistic. While some may find this possibility incredibly alluring, others may see it as dystopian. Society must account for these varied opinions when implementing new technologies or regulating and limiting them. This study (N = 703) explored Leftists’ (liberals) and Rightists’ (conservatives) support for using AI in governance decision-making amidst an unprecedented political crisis that washed through Israel shortly after the proclamation of the government’s intentions to initiate reform. Results indicate that Leftists are more favorable toward AI in governance. While legitimacy is tied to support for using AI in governance among both, Rightists’ acceptance is also tied to perceived norms, whereas Leftists’ approval is linked to perceived utility, political efficacy, and warmth. Understanding these ideological differences is crucial, both theoretically and for practical policy formulation regarding AI’s integration into governance.

Artificial Intelligence and Education: A Metaphorical Analysis on the Perceptions of Students with Special Abilities

The main goal of this study is to reveal special talented primary school students' perceptions of artificial intelligence, one of the popular concepts of recent times, through metaphors. In this study, the phenomenological design, which is within the scope of qualitative research, was used. In this study, Türkiye Science and Art Center included special talented primary school students in the education field. The 104 special talented primary school students participating in the research were 9-14 years old. Of these students, 53 were boys and 51 were girls. The participants were in the 3th grade, 4th grade, 5th, 6th, 7th and 8th grades of primary education. Purposive sampling method was chosen in the research. When the answers from the students were examined, a total of 36 different categories emerged in line with the relevant metaphors. When these categories are examined in detail, it is seen that the concept of artificial intelligence is represented by different metaphors. According to the findings, it was determined that primary school students simulated the concept of artificial intelligence to different metaphors such as robot, smiling robot, robot vacuum cleaner. As a result, it has been revealed that special talented student generally have positive opinions about the concept of artificial intelligence.

Enhancing legal writing skills: The impact of formative feedback in a hybrid intelligence learning environment

AbstractRecent developments in artificial intelligence (AI) have significantly influenced educational technologies, reshaping the teaching and learning landscape. However, the notion of fully automating the teaching process remains contentious. This paper explores the concept of hybrid intelligence (HI), which emphasizes the synergistic collaboration between AI and humans to optimize learning outcomes. Despite the potential of AI‐enhanced learning systems, their application in a human‐AI collaboration system often fails to meet anticipated standards, and there needs to be more empirical evidence showcasing their effectiveness. To address this gap, this study investigates whether formative feedback in an HI learning environment helps law students learn from their errors and write more structured and persuasive legal texts. We conducted a field experiment in a law course to analyse the impact of formative feedback on the exam results of 43 law students, as well as on the writer (students), the writing product and the writing process. In the control group, students received feedback conforming to the legal common practice, where they solved legal problems and subsequently received general feedback from a lecturer based on a sample solution. Students in the treatment group were provided with formative feedback that specifically targeted their individual errors, thereby stimulating internal cognitive processes within the students. Our investigation revealed that participants who were provided with formative feedback rooted in their errors within structured and persuasive legal writing outperformed the control group in producing qualitative, better legal text during an exam. Furthermore, the analysed qualitative student statements also suggest that formative feedback promotes students' self‐efficacy and self‐regulated learning. Our findings indicate that integrating formative feedback rooted in individual errors enhances students' legal writing skills. This underscores the hybrid nature of AI, empowering students to identify their errors and improve in a more self‐regulated manner. Practitioner notesWhat is already known about this topic Collaboration between humans and AI in educational settings advances learning mutually, fostering a unified developmental process. Collaborative education models advocate leveraging human and AI strengths for adaptive learning. Despite abundant theoretical research, empirical studies in HI remain limited. This gap underscores the need for more evidence‐based approaches in integrating AI into educational settings. What this paper adds Field experiment investigating the impact of formative feedback in a hybrid intelligence learning environment based on the theory of learning from errors. Comparison of a traditional legal learning environment (lecturer teaching using sample solutions) versus formative feedback in a hybrid intelligence learning environment. Implementing formative machine learning‐based feedback supports law students in producing more structured and persuasive legal texts, leading to enhanced exam performance and higher grades. Implications for practice and/or policy Our research contributes significantly to computer‐based education by presenting empirical evidence of how formative writing feedback impacts students' legal knowledge and skills in educational settings. This underscores the importance of incorporating empirical data into the development of AI‐based educational tools to ensure their effectiveness. By focusing on individual errors corrected by formative feedback, we contribute to the learning from errors literature stream. This perspective offers valuable insights into how such feedback can support students' writing and learning processes, filling a gap in empirical evidence. Our findings demonstrate the potential impact of ML‐based learning systems, particularly in large‐scale learning environments like legal mass lectures. Formative writing feedback emerges as a scalable and beneficial addition to traditional learning environments, triggering internal learning processes, fostering self‐regulated learning and increasing self‐efficacy among students. By demonstrating the effectiveness of formative feedback within the framework of HI, particularly in legal education, our research underscores the potential of combining human understanding with AI‐supported feedback to enhance learning outcomes.

Connecting the Wings of Dynamism: Bibliometric Analysis of Artificial Intelligence and Entrepreneurship Fields

This study aims to create a holistic viewpoint by concentrating on two dynamic areas of artificial intelligence and entrepreneurship with bibliometric analysis. The concept of artificial intelligence, which is constantly heard as the digital world gradually penetrates our lives, and entrepreneurship, which is referred to as the atomic element of the economic infrastructure, are addressed in the same pot with this research. The attitude of both areas against varying circumstances constitutes the essential basis of this examination. The view that the effectiveness in the areas can be increased with the synergy to be created between the two focuses is supported. With this intention, the study commences with an informative literature section, where the introductory elements of the areas are conveyed. Afterward, it tries to clarify why these zones need to be examined together. Following this, a bibliometric analysis study, frequently used to bring unfamiliar kinds of literature jointly, is conducted using data obtained from the Web of Science database and subjected to various analyses. In the last stage, the study is completed by examining these outputs and analyzes. As a result, conclusions support “the duo” can be investigated jointly. The study contributes to the idea that artificial intelligence and entrepreneurship are wings working in synchrony for the requirement of success.

General Definitions of Information, Intelligence, and Consciousness from the Perspective of Generalized Natural Computing

Atoms themselves have no thoughts and cannot be thinking. Why does the human body, which is composed of atoms, have consciousness? The widely used concepts of information and intelligence in today’s science, which are related to this, do not yet have appropriate general definitions. Answering these interesting questions is a crucial issue for technological development in the historical context of human society entering the era of intelligence. The key lies in how to fully utilize the existing fundamental theories subtly related to information science. Here we attempt to give the definition of general information and general intelligence from the perspective of generalized natural computing, based on the least action principle, Hamilton-Jacobi equation, dynamic programming, reinforcement learning, and point out the relationship between the two. The least action principle for describing conservative systems can be seen as an intelligent manifestation of natural matter, and its equivalent form, the Hamilton-Jacobi equation, can be extended to describe quantum phenomena and is a special case of continuous dynamic programming equations. Dynamic programming is an efficient optimization method under deterministic models, while reinforcement learning, as a manifestation of biological intelligence, is its model-free version. The statement that reinforcement learning is the most promising machine learning method has a profound physical foundation. General information is defined as the degree to which a certain environmental element determines the behavior of the subject. General intelligence is defined as the automatic optimization ability of the action or value function of a system with a certain degree of conservatism. Intelligence is a basic property of material systems, rather than an emergent property that only complex systems possess. Consciousness is an advanced intelligent phenomenon, a reconstruction of quasi conservative systems based on complex systems.

The relationship between the concepts of intelligence and artificial intelligence

Artificial intelligence is needed to perceive, remember, creatively process incoming information an order of magnitude better and faster than natural intelligence (or in reverse order), constantly replenish its reserves in order to make extraordinary decisions and actions in specific situations. However, without natural intelligence, all this is impossible to do, and therefore it would be correct to say about the improvement of the prototype (its elements), and not the creation of an artificial prototype.

Investigation of the Awareness of Automated News in terms of Public Opinion: Artificial Intelligence Journalism

Developments in information and communication technologies have created change and transformation in news production and reading habits, and the use of artificial intelligence in the journalism sector has become inevitable as the process transforms society. With artificial intelligence journalism, news can be produced and edited quickly. However, this speed and automation can create problems for readers in terms of accuracy and detail in consuming the news. In this context, the roles of journalists are also changing, and they are effective in checking the accuracy of news and developing public awareness. Automated news production has developed with the use of artificial intelligence-based software. In the automated news production process, which has come to the agenda through artificial intelligence, the automated creation of news through a number of algorithms and software and its rapid presentation to consumers has taken its place in the new generation journalism. Therefore, with the use of artificial intelligence in news production, public awareness should also be taken into consideration. This study investigates public awareness in the context of automated news production and news reliability, objectivity, confidentiality, employment problems of journalists and ethical rules. The independent variables of the study are the gender, age, education and occupation of newspaper consumers, while the dependent variables are the public opinion on the characteristics of the news in the face of news produced with artificial intelligence. The population of the study consists of individuals who use social media, read digital newspapers and are over the age of 18, while the sample consists of 400 people who voluntarily responded to the study. In the study, half of the participants are aware of the concept of artificial intelligence and that news is sometimes produced with artificial intelligence. Most of the participants think that weather news is produced by artificial intelligence, as well as economy, earthquake, weather and sports news are all produced automatically. The majority of the participants think that they are concerned about the reliability of the news produced by artificial intelligence, that these news are more qualified and more reliable than the news produced by the traditional news production process. Some of the participants also think that their news needs should be met through news produced by artificial intelligence today. It has been also found that there were significant differences between the gender, age and occupational groups of the participants and their attitudes towards news produced by artificial intelligence.

The Use of eXplainable Artificial Intelligence and Machine Learning Operation Principles to Support the Continuous Development of Machine Learning-Based Solutions in Fault Detection and Identification

Machine learning (ML) revolutionized traditional machine fault detection and identification (FDI), as complex-structured models with well-designed unsupervised learning strategies can detect abnormal patterns from abundant data, which significantly reduces the total cost of ownership. However, their opaqueness raised human concern and intrigued the eXplainable artificial intelligence (XAI) concept. Furthermore, the development of ML-based FDI models can be improved fundamentally with machine learning operations (MLOps) guidelines, enhancing reproducibility and operational quality. This study proposes a framework for the continuous development of ML-based FDI solutions, which contains a general structure to simultaneously visualize and check the performance of the ML model while directing the resource-efficient development process. A use case is conducted on sensor data of a hydraulic system with a simple long short-term memory (LSTM) network. Proposed XAI principles and tools supported the model engineering and monitoring, while additional system optimization can be made regarding input data preparation, feature selection, and model usage. Suggested MLOps principles help developers create a minimum viable solution and involve it in a continuous improvement loop. The promising result motivates further adoption of XAI and MLOps while endorsing the generalization of modern ML-based FDI applications with the HITL concept.

EDUCATIONAL MANAGEMENT ASPECTS OF THE SOMATIC INTELLIGENCE

Somatic intelligence is a type of human intelligence that includes self-regulation, emotional awareness, and listening to the body. Analyzing the scientific literature, it becomes clear that there are few theoretical works and empirical studies of somatic intelligence in Lithuania, but this does not mean the absence of discourse. Recently, the concept of somatic intelligence has been actively explored in the foreign scientific field using concepts such as somatic awareness, body awareness or interoceptive awareness; creating different models that enable detailing and structuring the concept of somatic intelligence; when constructing assessment systems (questionnaires). The concept of somatic intelligence, from a theoretical point of view, is a new and rarely studied phenomenon that requires in-depth research on a global and (especially) Lithuanian scale. Analyzing the research field of somatic intelligence, it was found that somatic intelligence is of interest to many researchers in various aspects related to the topic of kinesthetics: concept development and modelling, evaluation, education and management processes. The aim of the research – to reveal the features of kinestethic and sensory cognitive processes as the somatic intelligence parts in the educational management. The method of empirical research of the work is qualitative, which is based on phenomenological methodology. The qualitative research method (instrument) is a semi-structured individual interview. For the qualitative research, questions were prepared based on the model of somatic intelligence. The research results showed that, the somatic intelligence of primary school students in Klaipėda city formal education institutions is developed in a rather complex way. Methods and means of developing sensory intelligence include: creating a positive atmosphere, creating a sense of trust and security; the use of educational senses to create knowledge, cultural and environmental knowledge, training of critical thinking; involvement of students' and teacher's feelings, use of feelings for the development of critical thinking. Kinesthetic intelligence training methods include: training of fine and gross motor skills; methods and tools promoting discipline, methods and tools for overcoming stress and solving problems; physical involvement through role playing and other games. Research results related to other aspects of somatic intelligence (emotional and spiritual intelligence) will be presented in next article.

EMOTIONAL INTELLIGENCE: THE KEY TO SUCCESS IN PROFESSIONAL ACTIVITIES

At the current stage of societal development, the demands placed on the education system, the quality of professional training, and the formation of essential professional characteristics are on the rise. These foundationsare predominantly established during university-level training. An individual's social success is undoubtedly linked to their knowledge, skills, erudition, and overall ability to think -collectively referred to as general intelligence. However, often possessing a high level of general intelligence alone is insufficient. The concept of emotional intelligence emerged as a response to the evolving understanding of general intelligence in social contexts. It became evident that there could be a significant gap between a person's general intelligence and their social success, particularly in university environments. Consequently, emotional intelligence has been recognized as a crucial factor influencing the effectiveness of future professionals, as it promotesa humanistic approach to personal development and training, facilitates self-acceptance, and supports the personal maturity of upcoming professionals.The authors advocate for the necessity of nurturing emotional intelligence among students to effectivelyaddress professional challenges. Within contemporary educational contexts, fostering social success among future educators has become a critical objective, especially given the evolving demands of the teaching profession and the increasing socio-cultural dynamism. A teacher's social success extends beyond merely possessing professional skills and knowledge; it encompasses a comprehensive set of competencies that enable effective interaction with students, colleagues, parents, and society at large.

The Impact of Artificial Intelligence in the Educational Field

Recently, the concept of Artificial Intelligence has caused concern not only in the scientific community but also in the media sphere, primarily due to the lack of a universally agreed-upon definition. There is a lack of consensus among people regarding a comprehensive definition of intelligence, and even more so regarding artificial intelligence. Given these circumstances, the growing prevalence of the notion of Intelligence Artificial intelligence has advanced to the extent that it is now a vital element in nearly every sector of today's contemporary economy, exerting a substantial influence on our personal, societal, and political spheres. The foundation of this idea is based on the premise that human intelligence can be precisely described, allowing for the creation of a machine capable of simulating it. This gives rise to philosophical debates concerning the nature of consciousness and the moral implications of developing synthetic entities possessing human-like cognitive abilities. Artificial intelligence presents a myriad of challenges related to comprehension, responsibility, and confidence. Keywords: artificial intelligence, development, technology, education

OPPORTUNITIES FOR THE FORMATION OF INTELLECTUAL SKILLS OF PRESCHOOL CHILDREN THROUGH DEVELOPMENTAL GAMES

In this article, the theories of the formation of intellectual skills of preschool children are substantiated and presented from a practical point of view through the results of practice. In the preschool period, they revealed the possibilities of developing intellectual skills of the child through developing games. The concept of intelligence and intelligence is currently in widespread use and is becoming one of the most relevant topics. In accordance with the period of technological rapid development and globalization of our time, in accordance with demographic growth, new changes are observed in our society. In this regard, the types of skills and abilities that should be present in the younger generation are increasing. In the upbringing and training of preschool children, the focus is on the problem of educating a competitive generation through the development of the child`s physical, communicative, cognitive, intellectual, creative skills, research abilities. In the period from four to five years, the child experiences an important stage, perception and desire to learn the new, the author notes the scientifically sustained theories, the features of the experimental research are analyzed quantitatively and qualitively. The article presented a list of developmental games as effective tools for the development of intellectual skills of children of the adult group. It is written on the basis of the state program for the development of educational system Republic of Kazakhstan and the concept, and for the correct organization of intellectual skills, it is necessary To know the laws and possibilities of physiological development in a child. As noted in the article, the analysis of the content and methods of sensory education scientifically substantiated the development of perception and institution, the sequence of formation of logical thinking, revealed the psychological and pedagogical features of developing games in the formation of intellectual skills of children of preschool age group.

Data is the fuel of generative artificial intelligence

TThe aim of the article is to present the generative technology of artificial intelligence and a general analysis of its achievements and technological limitations. In turn, the hypothesis is as follows: data is the main factor ensuring the development of generative AI. The identified research niche includes stimulants of this development, the need to clarify the concept of generative AI and the indication of the most frequently used sources and methods of obtaining data. At the beginning, the concept and genesis of artificial intelligence were explained, which was necessary to move on to further considerations regarding the analyzed generative artificial intelligence. The self-learning mechanisms used by this type of artificial intelligence are discussed, consisting mainly in the analysis of specific data sets, thanks to which computers learn things that have not been known before. The advantages of generative artificial intelligence were also indicated, including increased productivity, greater efficiency and high creativity. Part of the attention was also paid to the limitations of this technology, including inaccurate and fuzzy output information, uncritical analyzes and often biased conclusions, copyright infringement and high requirements for memory and computing power of computers. Two factors have been identified that have recently stimulated the development of generative intelligence, i.e. the growing computing power of computers and easy access to large data sets. The main subject of considerations are large data sets, dynamically and uncontrollably self-replicating in Internet servers. Today, data resources are collected very efficiently, including: in Big Data, Cloud Computing and Internet of Things technologies, and their use is almost cost-free and publicly available. It was enough to improve the technology of artificial neural networks, expand multi-layer machine learning and create deep learning for generative intelligence to gain enormous momentum and become a symbol of the beginning of the 21st century. The whole investigation was summarized with a synthetic ending.

The Evolution of Artificial Intelligence: From Assistance to Super Mind of Artificial General Intelligence? Article 2. Artificial Intelligence: Terra Incognita or Controlled Force?

The article is devoted to the history of the development of ICT and AI, their current and expected future achievements, and the problems (which have already arisen but will become even more acute in the future) associated with the development of these technologies and their widespread application in society. It shows the close connection between the development of AI and cognitive science, the penetration of ICT and AI into various spheres, particularly health care, and the very intimate areas related to the creation of digital copies of the deceased and posthumous contact with them. A significant part of the article is devoted to the analysis of the concept of ‘artificial intelligence’, including the definition of generative AI. The authors analyse recent achievements in the field of Artificial Intelligence. There are given descriptions of the basic models, in particular the Large Linguistic Models (LLM), and forecasts of the development of AI and the dangers that await us in the coming decades. The authors identify the forces behind the aspiration to create AI, which is increasingly approaching the capabilities of the so-called general/universal AI, and also suggest desirable measures to limit and channel the development of artificial intelligence. It is emphasized that the threats and dangers of the development of ICT and AI are particularly aggravated by the monopolization of their development by the state, intelligence services, major corporations and those often referred to as globalists. The article provides forecasts of the development of computers, ICT and AI in the coming decades, and also shows the changes in society that will be associated with them. The study consists of two articles. The first, published in the previous is-sue of the journal, has provided a brief historical overview and characterized the current situation in the field of ICT and AI. It has also analyzed the concepts of artificial intelligence, including generative AI, changes in the understanding of AI related to the emergence of the so-called large language models and related new types of AI programs (ChatGPT and similar models). The article has discussed the serious problems and dangers associated with the rapid and uncontrolled development of artificial intelligence. This second article describes and comments on the current assessments of breakthroughs in the field of AI, analyzes various predictions, and provides the authors' own assessments and predictions of future developments. Particular attention is paid to the problems and dangers associated with the rapid and uncontrolled development of AI, with the fact that advances in this field become a powerful means of control over the population, imposing ideologies, priorities and lifestyles, influencing the results of elections, and a tool to undermine security and geopolitical struggles.

Business intelligence and its role in raising the level of corporate services

Artificial intelligence has begun to show itself in all areas of the changing business world. With the introduction of new technologies in the digital age, business structures have to adapt to new projects and increase the productivity of business processes. The purpose of the study is to clarify the ways of using business intelligence tools to raise and increase the level of services within companies. As a result of the stated objective, we identified the following tasks: 1) to determine the role of business analytics in forming the company's development strategy; 2) to propose solutions for improving internal company services using business analytics tools; 3) to outline the framework for building business analytics (BI) within the company. This study presents the concept of business intelligence and its importance in raising the level of service delivery in companies. For this purpose, Deming's course was used, were to find and provide some solutions, represented in the final decision-making process regarding the process of improving and providing services to companies. In other words, helping the general manager to see what is hidden from the eye, depending on the data and methods of processing it. In addition to the above, the stages involved in the development process were shown in the form of a data flow diagram, which is known as the Data Flow Diagram (DFD) for the system used within the company. The results of this study are summarized as follows: а) this study presents a clear and simplified concept for solving all the tasks mentioned in this study; b) submitting a proposal to solve the problem of improving services within the company by using business intelligence tools; c) this study presents a data flow diagram that selects the appropriate agile process for that purpose; d) this study presented a partial development of the system in force in the company.

Path Analysis of Factors Influencing Multiple Intelligences of Malaysian Medical Students: A Multi-institutional Study

The Multiple Intelligences (MI) Theory by Howard Gardner emphasises that individuals have a unique blend of “capabilities” (“intelligences”), differing significantly from the traditional concept of intelligence measured by conventional intelligence quotient (IQ) tests. This cross-sectional, multiinstitutional study aimed to compare the MI of medical students from three Malaysian medical schools, investigate the effects of demographic factors on the MI of students with diverse cultural and socio-economic backgrounds, and examine the effects of MI on academic performance. The MI Inventory was used to assess the MI of medical students. Path analysis was carried out using the SmartPLS software version 2.0. Inter-institutional differences in MI were observed among the students. University A students (53.51 ± 21.99) scored significantly higher than University B students (46.70 ± 20.34) in the naturalist domain (p = 0.05). University A students also scored significantly higher (58.35 ± 21.30) than University B (50.26 ± 19.49; p = 0.014) and University C students (46.90 ± 21.58; p = 0.008) in the musical/rhythmic domain. In the verbal/linguistic domain, University A students (47.94 ± 21.06) scored significantly higher than University C students (39.05 ± 19.23; p = 0.05). Path analysis highlighted a statistically significant effect of family income on the musical intelligence (β = 0.220, t = 2.005, p < 0.05), a domain closely related to verbal/linguistic intelligence. Students from all three medical schools consistently achieved the lowest score in the verbal/linguistic domain and the highest score in the intrapersonal intelligence domain. These findings suggest the need for interventions to enhance language proficiency among medical students. Emphasising MI would make medical education more comprehensive, ultimately enhancing learning in their academic pursuit.

THE VALUE ORIENTATIONS OF ADOLESCENTS WITH DIFFERENT LEVELS OF EMOTIONAL INTELLIGENCE

This article presents general characteristics of the concepts of emotional intelligence and value orientations from the perspective of several authors. There are presented some theoretical approaches with reference to the components of emotional intelligence and the types of value orientations. Moreover, in this paper some sequences of the research carried out on the subject of emotional intelligence and value orientations in adolescents are described. They directly relate to the hierarchies of terminal and instrumental value orientations of adolescents with different levels of emotional intelligence development: high level and low level. At a comparative level, priority values and values rejected by teenagers are presented, which denote different levels of emotional intelligence. The obtained results demonstrate that the value hierarchies in the experimental subjects are not identical. We emphasize that the research sample consists of 341 teenagers from the Republic of Moldova.