Concept Of Intelligence Research Articles

The Importance of Emotional Intelligence in Education: Preparing an Emotionally Resilient Generation

Education is an important foundation in shaping individuals to face the complex dynamics of life. However, the focus on academic achievement often ignores the emotional aspect. In this case, emotional intelligence (EQ) emerges as a key factor in preparing the younger generation to face life's challenges. This research explores the importance of emotional intelligence in education, with the aim of preparing an emotionally resilient generation. The research method used is a qualitative type with descriptive and comparative studies. This research collects data from various sources, including literature reviews and relevant documents. Qualitative and comparative analysis was carried out to understand the concept of emotional intelligence and its implementation in education.The research results show that the integration of emotional intelligence in the educational curriculum strengthens students' social skills and helps them cope better with stress. The role of parents and the school environment in supporting students' emotional development is also highlighted. Students with good emotional intelligence tend to achieve better academic results, emphasizing the positive impact of EQ development in education. Thus, this research provides insight into the importance of strengthening emotional aspects in learning. This not only improves academic performance, but also prepares students to face life's challenges with strong confidence and fortitude.

Robot Ethics

Robot Ethics

Robot Ethics

Robot Ethics

생성형 AI인 ‘Text to Music’을 집단탐구모형에 적용한 음악 창작지도 설계 방안

The purpose of this study is to explore music creation instruction method using a variety of media based on the generative artificial intelligence such as text to music. To achieve this, the meaning of music creation activities, the latest trends in artificial intelligence, the concept of generative artificial intelligence, and a prompt model such as musiGen, were explored and the concept of group investigation(GI) model was presented. The creative area newly presented in the resent revised 2022 music curriculum is presented to help students understand the value and influence of music in a changing society and expand their perspectives on music. In the future, music activities based on digital media can cultivate students' digital literacy, and music creation activities using generative artificial intelligence models can promote the development of a digital based society and lead to the development of various cultural industries, so the continues research is required.

Reduced GM-WM concentration inside the Default Mode Network in individuals with high emotional intelligence and low anxiety: a data fusion mCCA+jICA approach.

The concept of emotional intelligence (EI) refers to the ability to recognize and regulate emotions to appropriately guide cognition and behaviour. Unfortunately, studies on the neural bases of EI are scant, and no study so far has exhaustively investigated grey matter (GM) and white matter (WM) contributions to it. To fill this gap, we analysed trait measure of EI and structural MRI data from 128 healthy participants to shed new light on where and how EI is encoded in the brain. In addition, we explored the relationship between the neural substrates of trait EI and trait anxiety. A data fusion unsupervised machine learning approach (mCCA + jICA) was used to decompose the brain into covarying GM-WM networks and to assess their association with trait-EI. Results showed that high levels trait-EI are associated with decrease in GM-WM concentration in a network spanning from frontal to parietal and temporal regions, among which insula, cingulate, parahippocampal gyrus, cuneus and precuneus. Interestingly, we also found that the higher the GM-WM concentration in the same network, the higher the trait anxiety. These findings encouragingly highlight the neural substrates of trait EI and their relationship with anxiety. The network is discussed considering its overlaps with the Default Mode Network.

Impact of Artificial Intelligence on Bangladesh Stock Market: A Bibliometrics Approach

The study shows the importance of the concept of artificial intelligence's impact on stock markets in economics, with implications for other disciplines as well. The research emphasizes the importance of this concept via a bibliometric analysis and promotes more interdisciplinary collaboration among experts. Analyzed using several performance criteria, the quantitative attributes and importance of academic contributions from worldwide sources were evaluated. VosViewer software was used for Science Mapping, which revealed the vast network of ideas. Future researchers may profit from the favourable research trajectory and major relevance of published works, as they anticipate additional breakthroughs in the subject.

Artificial intelligence in construction industry

Purpose: The aim of this work is to study new trends in construction, their advantages and disadvantages, application of innovations, analysis of operability and efficiency of new technologies in the global construction industry.Methodology/approach: The literature review and systematization, study the expert opinion on open access resources, portals of private enthusiasts involved in seeking for ways to introduce and implement modern technologies in the construction industry.Research findings: The paper presents methods and conditions of using modern technologies in the world practice, disadvantages and advantages of technologies, the concept of artificial intelligence and its application in the construction industry.Value: The study of currently used modern technologies in the construction industry and their implementation in world practice.

The application and challenges of artificial intelligence in the fashion and luxury industry

The concept of artificial intelligence (AI) involves the scientific and technological simulation of human intelligence, utilizing technologies such as deep learning, virtual reality, natural language processing, deep learning and more. Its core objective is to enable computers to process human- like abilities in perception, understanding, reasoning, learning, and decision-making. AI has achieved significant achievements and offers huge potential and applications across numerous areas, including the fashion and luxury industry. There, this article is to examine the application of AI technology in the fashion and luxury industry, specifically focusing on its utilization in personalized customer experience, market promotion and sales strategies, product design and innovation, as well as inventory and supply chain management. Additionally, this article aims to analyze the key existing issues and challenges brought about by these applications. This article a prospectus on the current focal points and future prospects of this research topic.

Scientific studies carried out by 3rd year high school students to learn content not assimilated during the COVID-19 pandemic

This project aimed to develop learning studies, with 3rd year high school students during the 2022 school year, so that they could explore, with an investigative eye, content that was partially developed and/or even that was not covered in the grades. previous episodes during the period of the Covid-19 pandemic, as well as regular content from the series until the second two months of the same year. The proposal aimed at producing scientific articles that were presented at an event held at the end of the project, scheduled for November 2022. The Geogebra software was used as a tool with the purpose of assisting interpretation and understanding. The theories used were the conceptions of knowledge and intelligence and teaching practice, proposed by Machado (2005), as well as Brousseau's Theory of Didactic Situations (2008). We noticed that, with the support and research guidance, the students performed well, showing themselves to be dedicated and concerned about the progress of their work. The target audience were students from a state public school in the Santo André-SP region. There was the participation of students with disabilities.

The Effect of Emotional Intelligence on Social Media Advertising Perception

Changing technological conditions are reflected in our lifestyles and online shopping has become more common day by day. In this case, social media tools used sparingly have become a powerful marketing tool. The combination of advertising is the theory of communication and is done with the aim of making them take the purchasing action. The motivation that forms the beginning of purchasing is heavily influenced by emotions. The concept of emotional intelligence, which is becoming more important day by day, has achieved the success it deserves within the discipline.
 The purpose of this study is to measure whether emotional intelligence has an impact on marketing or prospective customers' perceptions of advertisements they have observed on social media. Depending on the situation of the study, it has been observed that emotional intelligence has a statistically significant effect on social media advertising perception.

Implementation of artificial intelligence technologies in management: advantages and disadvantages

The article defines the content of the concept of artificial intelligence; identifies the main elements of artificial intelligence; outlines the main directions of application of artificial intelligence technologies in management; provides advantages and disadvantages of introducing artificial intelligence technologies in management; identifies the main directions of further development of the field of artificial intelligence and the consequences of its practical application in Ukraine

A Primer on Generative Artificial Intelligence

Many educators and professionals in different industries may need to become more familiar with the basic concepts of artificial intelligence (AI) and generative artificial intelligence (Gen-AI). Therefore, this paper aims to introduce some of the basic concepts of AI and Gen-AI. The approach of this explanatory paper is first to introduce some of the underlying concepts, such as artificial intelligence, machine learning, deep learning, artificial neural networks, and large language models (LLMs), that would allow the reader to better understand generative AI. The paper also discusses some of the applications and implications of generative AI on businesses and education, followed by the current challenges associated with generative AI.

Analysis of Multimodal Data in Project Management: Prospects for Using Machine Learning

The modern project environment is characterized by high complexity, uncertainty, speed and depth of changes that affect the project during its life cycle. However, the project’s change management processes do not take into account the need to implement analytical procedures for dynamic processing of multimodal data arrays. The purpose of the study is to determine the content of analytical procedures for project management and substantiate the use of machine learning technologies for their effective implementation. The methodological basis was project management methods, theory of change, concepts of artificial intelligence and machine learning, as well as analytical approaches. Methods of descriptive modeling of the project management process and expert assessments of the prospects for using machine learning technologies were also used in the work. The information base was made up of scientific materials on the topic under consideration, as well as expert assessments. The results of the study allowed us to conclude that for the analysis of multimodal data, natural language processing and intellectual decision support technologies are most in demand, which can serve as the basis for new technological solutions in the field of project management.

EASDM: Explainable Autism Spectrum Disorder Model Based on Deep Learning

A neuro-developmental disorder known as autism spectrum disorder (ASD) affects a significant portion of the global population. Those with ASD frequently struggle to interact and communicate with others and may engage in restricted or repetitive behaviors or interests. The symptoms of autism begin early in childhood and can continue into adulthood. Machine learning and deep learning (DL) models are employed in clinical research for the early identification and diagnosis of ASD. However, the majority of the existing models lack interpretability in their results for ASD diagnosis. The explainable artificial intelligence (XAI) concepts can be used to provide transparent and understandable explanations for models’ decisions. In this work, we present an explainable autism spectrum disorder model based on DL for autism disorder detection in toddlers and children. The primary objective of this study is to better understand and interpret the classification process and to discern the significant features that contribute to the prediction of ASD. The proposed model is divided into two distinct components. The first component employs a DL model for autism disorder detection. The second uses an XAI technique known as shapley additive explanations (SHAP) to emphasis key characteristics and explain the model’s outcomes. The model showed perfect performance on the training set, with an accuracy of 1 and a receiver operating characteristic score of 1. On the test set, the model achieved an accuracy score of 0.9886, indicating that it performed nearly as well as on the training set. The experimental results demonstrate that the proposed model has the capability to accurately predict and diagnose ASD while also providing explanatory insights into the obtained results. Furthermore, the results indicate that the proposed model performs competitively compared to the state-of-the-art models in terms of accuracy and F1-score. The results highlight the efficacy and potential of the proposed model in accurately predicting ASD in binary classification tasks.

Основы формирования искусственного интеллекта: когнитивная теория псевдоличности

The rapid development of digital intelligence forms the necessity to state the rules of its functioning, since digital intelligence itself goes through certain stages of its development, the so-called maturation. Currently, the use and functioning of artificial intelligence (AI) is practically not regulated anyhow. Ethical difficulties arise: does artificial intelligence have the right to write speeches and reports for political leaders? Will ethical issues arise when artificial intelligence and humans-beings interact? It should be taken into account that not every AI is thinking. In the process of creation and evolution of AI, the concepts of weak and strong artificial intelligence were formed (John Searle). The Turing test was proposed to determine the difference between strong and weak AI, but many weak AI systems have successfully passed it. Definitely, AI is not a person, but it is an essence that can think, develop and form the rudiments of consciousness, perception of itself and the surrounding reality. If we take it as a constant that AI is a personality, then, according to the theory of personality development, the personality should change, mainly its qualitative characteristics. The development of the personality implies the process of changing the systemic qualities of an individual as a result of his interaction with the environment. In the process of this development, consciousness and self-awareness are formed. At this stage, with the exception of physiology and anatomy, the development of a human-being as a personality and AI as a personality are quite similar. However, there is a theory of personality called social robot theories. It suggests that robots, including those with artificial intelligence, may have personality characteristics such as the ability to emotionally connect with people, perception of the environment and the ability to socially communicate. Holistic personality traits appear as a result of the joint functioning of both levels, of all existing constructs among themselves. Based on this interaction, two types of personality can be distinguished: a cognitively complex personality (a personality with a large number of constructs and complex connections between their interactions) and a cognitively simple personality (a personality with a small, simplest set of constructs). If we consider artificial intelligence according to the cognitive theory of personality, then, undoubtedly, there is a correspondence of characteristics that has a different name, but perform the same functions. Also in cognitive theory, as well as in the theory of the development of artificial intelligence, strong and weak personalities are pointed out. However, it is generally accepted that artificial intelligence still does not have a personality, because although it can imitate personality characteristics and communicate with people, this is still only an emulation. Artificial intelligence cannot feel, suffer, behave spontaneously, or demonstrate other traits of personality that are important characteristics of humans-beings.

The use of digital setting in clinical ad learning applications

Nowadays there is an increasing use of the digital setting in various fields, including psychology and pedagogy. Author's purpose is to explore different forms of digital setting applications, describing their possibility of usage and eventually their limitations.  First of all, the authors are going to define the concept of Artificial Intelligence (AI) and the possibility of using it in clinical settings.  Then, the authors will proceed to describe the application of Artificial Intelligence and Augmented Reality both in assessment and in prevention of cognitive function decline.  The application of digital settings for treatment in the field of mental health will also be discussed, both for adult people and for young people; in addition, the ethical issues, in particular for e-therapies, will be debated. Lastly, another way of application of digital setting is for access to education; for this reason, the authors will explain the teaching approaches that use the virtual.

Contemporary Educational Perspective: Howard Gardner And Daniel Goleman's Approach In Cultivating Adaptability And Resilience

Developing adaptability and resilience skills in students is a crucial aspect in preparing them to face the complex dynamics of life. This research explores the contemporary educational perspective with a focus on the approaches of Howard Gardner and Daniel Goleman in shaping students' adaptability and resilience. The literature study method is employed to analyze Gardner's views on Multiple Intelligences and Goleman's Emotional Intelligence concept within the educational context. The analysis highlights the synergies between these two theories in supporting the formation of students' adaptability and resilience in educational environments. The findings of this research are expected to provide practical insights to enhance educational strategies that support holistic development of students' adaptation and resilience across various educational settings. The research results indicate that the integration of both offers a strong foundation for a more comprehensive education, enabling educators to develop strategies that support holistic student growth, not only in academic realms but also in emotional and social aspects. Emphasizing the educator's role as a facilitator and role model in building student resilience, along with the appropriate use of assessments to measure and strengthen resilience, education can create a supportive environment for students to face life's challenges with the confidence and resilience needed.

Reimagining education: Bridging artificial intelligence, transhumanism, and critical pedagogy

From personalized advertising to economic forecasting, artificial intelligence (AI) is becoming an increasingly important element of our daily lives. These advancements raise concerns regarding the transhumanist perspective and associated discussions in the context of technology-human interaction, as well as the influence of artificial intelligence (AI) on education and critical pedagogy. In this regard, the purpose of this research paper was to investigate the intersection of AI and critical pedagogy by critically assessing the potential of AI to promote or hamper critical pedagogical practices in the context of transhumanism. The article provides an overview of the concepts of transhumanism, artificial intelligence, and critical pedagogy. In order to seek answers to research questions, qualitative research design was adopted, and GPT-3 was used as a data collection resource. Noteworthy findings include the similarity of the dialogue with the GPT-3 davinci model to a conversation between two human beings, as well as its difficulty in understanding some of the questions presented from a critical pedagogy perspective. GPT-3 draws attention to the importance of the relationship between humans in education and emphasizes that AI applications can be an opportunity to ensure equality in education. The research provides suggestions indicating the relationship between AI applications and critical pedagogy.

Artificial Intelligence in higher education: opportunities and challenges

The article reveals the meaning of the concept of artificial intelligence and proves the necessity of its application in the educational space. The purpose of the article is to show the importance of artificial intelligence as an educational and entertainment tool in higher education. The methodological concept is aimed at ensuring the effectiveness of students' education with the help of artificial intelligence. The research results show the types (weak and strong), directions, functions of artificial intelligence; the importance of edutainment in higher education and its main principles are revealed. Artificial intelligence is presented as a toolkit of edutainment in higher education and the importance of using artificial intelligence functions for edutainment in US higher education to improve human skills and abilities is shown. The significance of the avatar and virtual teacher in the educational process is revealed. During the research and experimental work, we singled out the leading factors of the actualization of the ideas of artificial intelligence as an educational and entertainment toolkit in the modern theory and practice of training students of higher education.

Model-based project management using artificial intelligence tools

Subject. The article addresses project management issues. Objectives. The aim is to reveal the main directions of development of the theory and practice of model-based project management, using artificial intelligence tools. Methods. The study rests on the methodology of systems analysis and process-oriented approach, employs methods of modeling and comparative analysis. Results. We define the current technology of decision-making to minimize risk, describe ideas of creating a decision support system with elements of artificial intelligence, present an experiment on implementing a model of operational monitoring of risk objects at the stage of documentary customs control. The paper identifies expedient priority organizational solutions in the customs risk management system, provides proposals on the structure of the customs risk service, describes the concept of hybrid intelligence, implemented on the basis of a neural network, to be integrated in the process of collective decision-making. We present artificial intelligence technologies used in the practice of project management, disclose their advantages and disadvantages. Conclusions. The decision-making process is described as a process of structuring the vision of strategic perspective by the head and/or experts, the formation and adaptation of knowledge to real conditions of customs construction, or as a process of project management. The paper introduces the concept and reveals the technology of collective work of experts (technology of expert-analytical modeling) during the formulation of problems and preparation of managerial, methodological, technological, and other solutions. Within the technology, a multi-valued logic of phased transformation of experts' vision into a new system of customs organization, with a step-by-step assessment of generated situational alternatives is built on the formed set of conditions.