Theory Of Intelligence Research Articles

Exploring Emotional Intelligence and College Adjustment in Final-Year College Students

This study aims to analyze the relationship between the dimensions of college adjustment and domains of emotional intelligence among final-year students (7th semester) with the Merdeka Belajar Kampus Merdeka (MBKM) curriculum. This research used a correlational method with a non-experimental quantitative approach. The study respondents were final-year students of the Faculty of Psychology, Padjadjaran University, who participated in MBKM activities outside the university during the sixth semester and resumed regular classes during the seventh semester. Among 72 eligible students, 67 participated in the study. The instruments used to measure college adjustment and emotional intelligence were the translated version of Student Adaptation to College Questionnaire (SACQ) and an instrument based on Goleman's emotional intelligence theory, respectively. Correlation tests were conducted using the Pearson Product Moment. The findings revealed a significant positive correlation between college adjustment and emotional intelligence (r = 0.410, p < 0.05). Furthermore, the analysis proved correlations among certain dimensions of college adjustment and domains of emotional intelligence. The implications highlight the role of MBKM activities in enhancing students' skills to support their adaptation and emotional intelligence.

Molecular Interactions of β‐Lactamase Enzyme KPC2 and Carbapenem Antibiotics: Computational Chemistry and Artificial Intelligence Analysis

AbstractThe development of drugs to combat disease is a constantly evolving issue of great importance to the entire population. Among this group of molecules, broad‐spectrum antibiotics stand out as the clinical choice of physicians. The family of carbapenems are broad‐spectrum antibiotics used to treat diseases caused by gram‐positive and gram‐negative bacteria that have developed resistance to multiple antibiotics through enzyme production. This research focuses on the characterization of carbapenem enzyme systems using computational chemistry at the level of force field, artificial intelligence, and density functional theory. The computational results on antibiotic molecular structures have been compared with experimental references from UV‐vis spectroscopy, demonstrating high accuracy of several hybrid functionals. For the β‐Lactamase enzyme KPC2, the computational models of FF and AI agreed with the folded structure reported by X‐ray diffraction. Finally, the catalytic site calculated by Docking where the carbapenems‐enzyme interaction takes place was also in agreement with experimental data using water as medium and even in weak acids such as ethanol or methanol. Overall, the above computational characterization provides an understanding of how accurate current computational methods are for understanding the origin of bacterial resistance to one of the latest generation antibiotic families.

Emotional intelligence impact on academic achievement and psychological well-being among university students: the mediating role of positive psychological characteristics

The main objective of this study is to examine the relationship of emotional intelligence with psychological well-being and academic achievement through positive psychological characteristics among university students in China. The study was conducted with postgraduate and undergraduate students. The integration of emotional intelligence theory and positive psychological theory was used in this study. The introduced framework included emotional intelligence as the main independent variable, self-efficacy, motivation, and resilience as three mediators, and psychological well-being and academic achievement as two dependent variables. A survey was conducted among 518 students, and structural equation modelling was used to analyse the data. The study found that emotional intelligence was positively related to positive psychological characteristics, psychological well-being, and academic achievement, and the effects were stronger among postgraduate students. Also, positive psychological characteristics, which include self-efficacy, motivation, and resilience, mediate the relationship between emotional intelligence and psychological well-being and academic achievement, and the relationship was stronger among postgraduate students. Proper coping strategies and mechanisms can be helpful to improve both psychological well-being and academic achievement at the same time among university students.

The Concept of Multiple Intelligence Education From the Quran's Perspective

This research aims to understand the Koran's view of Multiple Intelligences. This research is a literature study that collects data from books, magazines, articles, and works related to the formation of multiple intelligences from the perspective of the Al-Quran. In the Koran, human intelligence is related to faith and religious values. Every child own differences in intelligence. The Qur'an's view of various types of intelligence in Gardner's theory of multiple intelligence is not caused by the evolution of intelligence as proposed by Gardner but has existed since the birth of humans and their natural development. Apart from strengthening this argument, it also criticizes the spiritual references of Gardner's theory of multiple intelligences. This research concludes that each person has a different level of intelligence and continues to develop. According to Gardner, there are nine basic bits of intelligence: verbal intelligence, logical-mathematical intelligence, visual-spatial intelligence, kinesthetic intelligence, musical intelligence, interpersonal intelligence, intrapersonal intelligence, and natural and spiritual intelligence. The Al-Quran reveals language intelligence in surah al-Baqarah verses 31-33 and logical-mathematical intelligence in surah al-Ankabut verse 43. Human visual-spatial intelligence brought by Allah SWT is exposed in surah Hud 37-38 and the Qur'an. A shows human kinesthetic intelligence in surah al-Maidah 31. Allah gave humans rhythmic-musical intelligence to recite the holy verses of the Koran in a beautiful and linguistic style. In surah al-Hujarat verse 13 there is talk about interpersonal intelligence which shows the differences between humans. Allah intrapersonal signals in surah Zariyat 21 and naturalist intelligence in surah Ali Imran 190-191. God's intelligence is demonstrated existentially in surah Zariyat 56.

Research on the Pathways for Innovative Cultural Development of University Music Courses Based on Music Education Concepts

In order to improve the music education in colleges and universities for cultivating students' comprehensive quality and enriching students' cultural literacy. In this paper, firstly, we optimize the music teaching mode, based on the theory of multiple intelligences and centered on the characteristics of students' intelligence structure, we innovate the teaching mode of music courses in colleges and universities, and emphasize the authenticity and context of the teaching environment. Secondly, the ant colony algorithm is used to find the optimal solution of music course classroom-time. In the solution process, hard constraints and soft constraints are considered to set up a class schedule that teachers and students are satisfied at the same time. Next, the optimal results of music course scheduling without and with conflicts are calculated. The traditional teaching model was set as a control class, and the final validation found that the experimental class scored the highest 90.2 ± 9.4 for music knowledge mastery and was statistically significant. In terms of music composition and music understanding, the experimental class fully agreed with 43% and 48%, higher than 41.0% and 40% of the control class, and the innovative music teaching content was above the students' psychological acceptability, with an average cultural satisfaction score of 4.2487 and an average cultural recommendation score of 4.5347. Therefore, colleges and universities should base their curriculum on the concept of music education, constantly explore and innovate, improve the rationality of curriculum arrangement, and promote the dissemination and development of music culture.

The Educational and Practical Importance of the Theory of Multiple Intelligences for Athletes

The Educational and Practical Importance of the Theory of Multiple Intelligences for Athletes

Multiple Intelligences Theory on Academic and Licensure Examination Performance among Nursing Graduates: Correlational Study

Multiple Intelligences Theory on Academic and Licensure Examination Performance among Nursing Graduates: Correlational Study

LTFM-net framework: Advanced intelligent diagnostics and interpretability of insulated bearing faults in offshore wind turbines under complex operational conditions

The rapid advancement of intelligent theories and models, exemplified by deep learning, has achieved remarkable success across numerous fields. However, given that the complexity and variability of offshore wind turbine systems, particularly in the context of high-power variable-frequency control of insulated bearings in offshore wind turbines, the problem of fault identification has become a recognized technical challenge. Additionally, fully exploiting the temporal characteristics of insulated bearing fault data poses a key problem that demands urgent resolution. To address these gaps, this paper pioneers a novel Lightweight Temporal Feature-focused framework, named LTFM-Net, aimed at solving the difficult problem of identifying insulated bearing faults in offshore wind turbines in practical engineering applications. Specifically, this framework enables the intelligent identification of insulated bearing faults under harsh operating conditions such as alternating voltage and variable loads, marking a first in this field. Furthermore, an innovative strategy named Weighted Diminish Recurrent Unit (WDRU) was developed, along with the derivation of its backpropagation formula, which is innovatively applied to the feature extraction module of the LTFM-Net framework for the first time. Thus, an efficient method for acquiring fault data from insulated bearings in offshore wind turbines was proposed. Based on a unified dataset, the diagnostic performance of the LTFM-Net framework was evaluated and compared with seven advanced methods. The results demonstrate that the LTFM-Net achieves precise identification of insulated bearing faults, confirming its excellent generalization, robustness, and superiority. The introduction of t-SNE for visualizing the fault characteristics of insulated bearings uncovered by the LTFM-Net framework further enhances its reliability, accuracy, and credibility.

Evaluation of dental behavior, anxiety, fear, and its correlation with trait emotional intelligence in 8-12-year-old children: Exploring a new frontier in behavior modification.

Children's fear and distress in dental settings often lead to anxiety and behavior issues. This study delves into why some children experience dental anxiety, whereas others do not, attributing differences to child-rearing and personality traits. Emotional intelligence (EQ), the ability to comprehend, generate, and manage emotions, is explored as a factor influencing a child's dental experience. This novel intelligence theory accommodates the intricacies of human-environment interactions. The study aimed to investigate the relationship between EQ and a child's dental anxiety, fear, and behavior in children aged 8-12 years. The Trait Emotional Intelligence Questionnaire-Child Short Form, specifically developed for children aged between 8 and 12 years, was used among 100 participants reporting to the department outpatient department. The Frankl's Behavior Rating Scale, Modified Child Dental Anxiety Scale, and Children's Fear Survey Schedule-Dental Subscale were used to evaluate behavior, anxiety, and fear, respectively. Results show a positive correlation between EQ and dental behavior (P = 0.002) whereas a negative correlation between EQ and dental anxiety and fear (P < 0.001). This study sheds light on the intricate interplay between emotional intelligence, dental behavior, anxiety, and fear among children. By recognizing the impact of EQ, dental practitioners could adopt personalized strategies to alleviate anxiety and enhance cooperation, improving overall dental experiences for young patients.

Theory of Multiple Intelligence in the Large Classroom: A Case Study of Good Luck Grammer School Kazi Ahmed, Shaheed Benazirabad Sindh, Pakistan

Theory of Multiple Intelligence in the Large Classroom: A Case Study of Good Luck Grammer School Kazi Ahmed, Shaheed Benazirabad Sindh, Pakistan

Implementing Project-Based Learning Using Artificial Intelligence

Project-based learning in the education system is gaining more and more momentum, as it is promising and contributes to the formation of all the necessary life skills for of students of professional preliminary higher education. It allows the development of their critical thinking and creative abilities. The application of artificial intelligence in education is an actual area of research that contributes to increasing the effectiveness of the educational process. Implementation of project-based learning using artificial intelligence (AI) is becoming increasingly urgent in education. This approach makes it possible to significantly increase the motivation of students, stimulate their independence and creativity, and prepare them to solve real problems in the modern world, where AI plays an increasingly important role. The purpose of the study is to highlight the possibilities and prospects of using artificial intelligence to implement project-based training of students of professional preliminary higher education. The research is conducted using mixed methods, including quantitative and qualitative approaches. Data are analyzed using statistical methods and interviews are conducted with participants in the educational process. During the research and presentation of the material, theoretical methods of scientific knowledge were used: analysis and synthesis, induction and deduction, systematization, and generalization. The author hypothesizes that the use of AI in project-based learning helps to increase the motivation of students, strengthens their independence, improves the skills of working with information and critical thinking, and also stimulates teamwork. It has been established that using artificial intelligence significantly increases the effectiveness of project-based learning. Its main advantages for teachers are described, including the automation of routine tasks. Positive results for students in the form of improved learning outcomes are summarized. Recommendations for the implementation of artificial intelligence services in the educational process, in particular, in project activities, are offered. The main areas for further research are systematized. The results of the study can be used for further development of the theory of project-based learning and artificial intelligence in education. The recommendations developed by the authors regarding the implementation of artificial intelligence in project-based learning. These recommendations can be used by teachers and lecturers to optimize the educational process, increase its effectiveness, and form the competencies necessary for a successful life in modern society for students. Further research can be aimed at developing new methods and tools for using AI in project-based learning, studying its impact on various aspects of students' educational activities, as well as studying the ethical aspects of using AI in education.

Development of a simulation model and adjustment of hyperparameters of a neural network for predicting possible states of a network of small space carriages

The purpose of the research is to develop a simulation model and tune the hyperparameters of a neural network to predict possible states of a network of small spacecraft.The research methods are based on the concepts of the theory of artificial intelligence to control a group of small spacecraft (SSV) – the use of adaptive methods and tools to make decisions, similar to the mechanisms of human thinking. In relation to space communication systems with a heterogeneous structure, artificial intelligence methods and technologies are aimed at predicting the state of communication channels between network nodes and automatically reconfiguring a network of devices based on neural network learning processes. One of the most important functions of network software for the application of cognitive algorithms is to predict the quality of communication between pairs of SSVs.Results. A method has been developed for using the Transformer architecture neural network to predict possible states of the SSV network, which provides aggregation and time synchronization of data on the state of the SSV network, their use for training the neural network, as well as using the neural network to predict the quality of communication. The data format for the training sample has been created, based on the representation of the state of the SSV network, which ensures the generation of the initial state of the network, modeling the proactive mode of its operation, collecting SSV network state markers to generate training data sets in the form of chronological sequences grouped into frames, and allowing to reduce the amount of data transferred between SSVs when creating a training set. A simulation model of the SSV network has been developed, which provides generation of the initial state of the network, modeling of the proactive mode of its operation, and collection of information about the state of the SSV network to generate sets of synthetic training data.Conclusion. The article develops a simulation model of the SSV network for generating synthetic training data and predicting possible states of the SSV network, as well as a method for using a neural network to predict possible states of the SSV network.

The Impact of the Application of Multiple Intelligence Theory on Classroom Communication

The Impact of the Application of Multiple Intelligence Theory on Classroom Communication

The Relationship between Participation in Extracurricular Arts and Sports Activities and Adolescents' Social and Emotional Skills: An Empirical Analysis Based on the OECD Social and Emotional Skills Survey.

In light of the 'double reduction' policy, which affords adolescents increased time for extracurricular pursuits, the strategic organization of these activities' form and content is imperative. Prior research has established a robust correlation between adolescent participation in extracurricular arts and sports and the enhancement in their social and emotional skills. Nevertheless, the relationship between extracurricular arts and sports activities and the various dimensions of social and emotional skills, as well as the connection between participation in different types of these activities and the enhancement in social and emotional skills, requires further investigation. Utilizing the Theory of Multiple Intelligence and data from the OECD-SSES2019 Suzhou (China) student survey, this study employs Ordinary Least Squares (OLS) and coarsened exact matching (CEM) methodologies to address these gaps. In China, participation in extracurricular arts and sports activities is significantly positively associated with various dimensions of social and emotional skills, with a synergistic effect observed between these activities in enhancing these skills. Additionally, this study finds age-related heterogeneity in the relationship between participation in extracurricular arts and sports activities and the improvement in social and emotional skills.

Technological Prejudice: Demonstrating the Ontological Challenge of Building a Critical Theory of Artificial Intelligence

Technological Prejudice: Demonstrating the Ontological Challenge of Building a Critical Theory of Artificial Intelligence

Emotional Intelligence and Sports: How Is the Emotional Intelligence Theory Viewed in Sports Psychology?

Emotional Intelligence and Sports: How Is the Emotional Intelligence Theory Viewed in Sports Psychology?

Emotional Intelligence and Managerial Performance in Healthcare Organizations in Indonesia

Purpose: The aim of the study was to analyze the emotional intelligence and managerial performance in healthcare organizations in Indonesia. Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries. Findings: Emotional Intelligence (EI) positively impacts managerial performance in Indonesian healthcare organizations. Managers with higher EI levels exhibit enhanced interpersonal skills, decision-making abilities, and conflict resolution strategies. This competency enables better understanding and management of both personal and team emotions, fostering improved employee satisfaction and organizational climate. Unique Contribution to Theory, Practice and Policy: Emotional intelligence theory, transformational leadership theory &amp; job demands-resources (JD-R) theory may be used to anchor future studies on emotional intelligence and managerial performance in healthcare organizations in Indonesia. Healthcare organizations should incorporate comprehensive EI training into their leadership development initiatives. Policymakers should include EI competencies as part of the standards and accreditation criteria for healthcare management positions.

The Relationship Between Intelligence and Creativity Within the Threshold Theory Among Gifted Students in Saudi Arabia

Threshold theory is an intelligence and creativity theory that proposes that there is a minimum degree of intelligence, or "threshold," required for creativity to occur. Above this point, intelligence ceases to be a key influence in creativity. This study uses the Threshold Theory to investigate the relationship among exceptional gifted, gifted, and promising gifted students' creativity and intelligence scores. The study included 3843 gifted students (male=2176; female= 1667). Students in grades three through eleven from the Eastern Province of the Kingdom of Saudi Arabia made up the study sample. The Torrance Creative Thinking exam (TTCT) and the MAWHIBA intelligence test were used (MMCAT). Between 2020 and 2023, a period of three years, data were gathered. The Threshold Theory was applied to test the collected data. The results of the study indicated that the IQ = 118 criterion is evaluated and that there is a positive and significant relationship (r = 0.532; p&gt;0.05) between intelligence and creativity. They are not significantly different from the cutoff (r = 0.22; p &gt; 0.05). Based on the suggested liberal criterion, these findings support the threshold theory.

Leadership theories and styles—A systematic literature review and the narrative synthesis

This paper explores diverse conceptualizations of leadership, emphasizing its profound impact on individuals and organizations. Leadership’s influence on followers’ daily lives, necessitating adaptation to modern complexities. Various theories offer distinct perspectives: distributed leadership emphasizes shared expertise. While charismatic leadership focuses on vision alignment. Authentic leadership promotes ethical climates, while Emotional Intelligence theory emphasizes emotional competencies. Ethical leadership underscores moral conduct. Five Domains Leadership highlights talent management and strategy execution, while Leadership Transition Theory discusses dynamic changes. Other theories include direct/indirect leadership, entrepreneurial leadership, and leader-member exchange. Participative leadership explores decision-making styles, and situational leadership aligns styles with follower maturity. Trait and behavioral theories focus on inherent traits and learned behaviours. This review underscores leadership’s complexity, offering insights into its diverse conceptualizations and practical implications across contexts.

A perspective on psychological factors affecting the emotional labor of teachers

Several psychological factors are discussed in relation to teachers’ emotional labor (EL). Ecological systems theory (EST) is used in relation to the role of emotional intelligence (EI) to provide a perspective on ways to conceptualize how to address secondary traumatic stress (STS) risk among teachers. An international selection of the literature is synthesized in relation to the factors that may affect EL in relation to STS risk among teachers who have students with adverse childhood experiences (ACEs). The concept of EI is central to this discussion of theoretical relationships between EI and STS risk relevant to teachers’ EL. While there is much literature on Bronfenbrenner’s EST and Gardner’s multiple intelligences (MI) theory separately, there is room in the literature for exploring EST to contextualize the topic of STS risk as it relates to the concept of EI. The purpose of this study is to discuss allostatic load factors that may affect teachers’ EL and to discuss potential ways to acknowledge EL.