Cognitive Intelligence Research Articles

B - 68 Executive Functioning Skills of Verbal and Emotional Intelligence and Borderline Personality Predict Posttraumatic Growth

Abstract Objective Research found a positive connection between emotional intelligence and both borderline personality and posttraumatic growth. Prior research has not examined the combination of emotional intelligence, borderline personality, and cognitive intelligence as predictors of posttraumatic growth (PTG); our research helped fill this gap. Method American adults (N = 402; M age = 38.7 years, SD = 13.0) were recruited from Prolific to complete an online survey including Shipley Institute of Living Scale-2, Assessing Emotions Scale, Posttraumatic Growth Inventory-Expanded, and screening questionnaire for DSM-5 Personality Disorders. PTG was measured in relation to any previous trauma. Participants reported being white (67.2%), African American/Black (9.7%), Asian/Asian American (9.7%), Hispanic/Latinx (9.0%), and other ethnicities (4.5%), and men (48.0%), women (47.8%), non-binary (1.5%), transgender men (1.2%) or women (0.5%), or other genders (0.9%). Results Hierarchical regression revealed that emotional and verbal intelligence significantly predicted PTG, F(2, 391) = 78.54, p < 0.001, adj. R2 = 0.28, 95% CI [0.20, 0.35]. Adding borderline characteristics to the model resulted in significantly greater prediction of PTG, F(3, 390) = 61.22, p < 0.001, F change p < 0.001, and explained 32% of the variance in PTG, adj. R2 = 0.32, 95% CI [0.24, 0.39]. Greater emotional intelligence (beta = 0.535), more borderline personality characteristics (beta = 0.189), and lower verbal reasoning (beta = −0.159) predicted more PTG. Conclusion Our findings suggest that executive functions and borderline characteristics play a complex role in the development of posttraumatic growth after trauma.

Physical education learning outcomes of senior high school students based on gender and intellectual intelligence review

Abstract. This study examined the disparities in Physical Education (PE) learning Outcomes among high school pupils by considering their gender and intellectual aptitude. The study involved participants from a high school in Yogyakarta, selected using the Simple Random Sampling method. The data were then analysed using descriptive statistics and a two-way factorial inferential analysis of variance (ANOVA). The study divided the results into two groups based on their intellectual intelligence: low and high. In the low intellectual category, the average learning outcome for male students was 83.60. Meanwhile, the average for female students was 84.10. In the high intellectual intelligence category, the average results for male students were 85.30, while the average achievement for female students was 83.70. The ANOVA test for the intellectual intelligence variable yielded a p-value (Sig.) of 0.303, which is greater than the significance level of 0.05. This figure suggests that there is no statistically significant difference in students’ learning outcomes based on their level of intelligence, whether low or high. Similarly, the p-value of 0.383 for the gender variable was also greater than the significance level of 0.05, indicating no statistically significant variations in learning results. Additionally, the interaction effect between IQ and gender yielded a significance value of 0.100, which is greater than 0.05. It indicates no significant interaction between these two variables on the learning performance of high school students. The finding means that cognitive intelligence does not have a substantial impact on the performance of physical education (PE) among high school students. Moreover, there is no notable disparity in PE performance between male and female students, suggesting gender equality in both the opportunities and abilities in PE. Finally, the study found no notable correlation between gender and IQ levels in performance on intelligence tasks. These results diminish the importance of considering other criteria, such as physical aptitude, in evaluating PE performance and emphasize the need for comprehensive and inclusive physical education programs. Keywords: Learning Achievement, PE, Students, Adolescents, Gender, Intellectual Intelligence

S2Former-OR: Single-Stage Bi-Modal Transformer for Scene Graph Generation in OR.

Scene graph generation (SGG) of surgical procedures is crucial in enhancing holistically cognitive intelligence in the operating room (OR). However, previous works have primarily relied on multi-stage learning, where the generated semantic scene graphs depend on intermediate processes with pose estimation and object detection. This pipeline may potentially compromise the flexibility of learning multimodal representations, consequently constraining the overall effectiveness. In this study, we introduce a novel single-stage bi-modal transformer framework for SGG in the OR, termed, S2Former-OR, aimed to complementally leverage multi-view 2D scenes and 3D point clouds for SGG in an end-to-end manner. Concretely, our model embraces a View-Sync Transfusion scheme to encourage multi-view visual information interaction. Concurrently, a Geometry-Visual Cohesion operation is designed to integrate the synergic 2D semantic features into 3D point cloud features. Moreover, based on the augmented feature, we propose a novel relation-sensitive transformer decoder that embeds dynamic entity-pair queries and relational trait priors, which enables the direct prediction of entity-pair relations for graph generation without intermediate steps. Extensive experiments have validated the superior SGG performance and lower computational cost of S2Former-OR on 4D-OR benchmark, compared with current OR-SGG methods, e.g., 3 percentage points Precision increase and 24.2M reduction in model parameters. We further compared our method with generic single-stage SGG methods with broader metrics for a comprehensive evaluation, with consistently better performance achieved. Our source code can be made available at: https://github.com/PJLallen/S2Former-OR.

Gambaran Karakteristik Demografi Dan Perkembangan Pada Anak Usia 2-5 Tahun di Puskesmas Kesesi I

The development of children under five is an increasingly complex body structure and function that occurs in a regular and predictable pattern as a maturation process. Children's development can be assessed from their speech and language abilities, fine or gross motor skills, cognitive intelligence, and social or emotional abilities. This study aims to describe the demographic and developmental characteristics of stunted children aged 2-5 years at the Kesesi I health center. This research is a descriptive study. This sampling technique used total sampling, the population of this study was 38 children at the Kesesi I Community Health Center. This research instrument used the Pre-Developmental Screening Questionnaire (KPSP) which was recommended by the Ministry of Health of the Republic of Indonesia for use in this study, so validity and reliability tests were not carried out. . The data analysis used was univariate in the form of a percentage frequency distribution. The results of this study show that the average child at the Kesesi I Community Health Center is 42 months old. Male gender (71.1%), spontaneous birth (81.6%), term gestation (37-42 weeks) (81.6%), weight at birth with sufficient birth weight (2500-4000 grams) (89.5%), current BB in the normal category (68.4%), current TB in the normal category (60.5%) and (100%) children have a history of breastfeeding. The development of toddlers at the Kesesi I Community Health Center shows that (55%) of respondents have doubtful development. The conclusion obtained is that 55% of the demographic and developmental characteristics of stunted children aged 2-5 years at the Kesesi I Community Health Center have doubtful development.

Cognitive intelligence-enabled requirements elicitation for design optimisation of smart product-service system

The rapid development of advanced technologies provides futuristic option to enhance product value with digital services, which the concept of Smart Product-Service System (SPSS) was proposed. SPSS focuses on usage data, the whole lifecycle, and the iterative optimisation. A large amount of data and context information can be collected during the usage stage, which can be used to elicit requirements to guide further design. How to realise the requirement elicitation with cognitive intelligence based on usage data is the key step for design optimisation. Therefore, this research proposes a cognitive intelligence-enabled requirements elicitation framework to help designers promote the design optimisation process. First, the digital twin-driven data collection architecture of SPSS is proposed by considering multi-sources and multi-stages. Second, the behaviour of SPSS is modelled based on Auto-Encoder which is constructed using deep learning to cognise SPSS performance. Third, the corresponding behaviour model is interpreted based on Shapley Addictive exPlanations (SHAP) to discover key factors with cognitive intelligence. Finally, the domain knowledge graph is used to generate the optimisation requirements for further design. To demonstrate the feasibility and advantages of the proposed framework, this study adopts the case study of wind turbines for illustration and verification.

Exploring the Impact of Rabbani Character Values on Learning Outcomes in Prospective Elementary Education Teachers

It is very important to instill rabbani character values in prospective madrasah ibtidaiyah teachers, so that they not only have cognitive intelligence but are also strong in the affective domain so that they have deep-rooted spiritual intelligence. This can be done in the learning process, including mathematics learning. The research approach used was a mixed method with sequential explanatory design. The research was conducted at IAIN Lhokseumawe and IAIN Langsa, because the location of these two educational institutions is in the northern and eastern parts of Aceh Province adjacent to North Sumatra Province which has differences in religious values, culture and character. The respondents were 81 people, consisting of 38 students from IAIN Lhokseumawe and 41 students at IAIN Langsa. Data collection techniques use learning outcomes tests and questionnaires to measure students' Rabbani character values. Data analysis uses Rank-Spearman correlation with SPSS 26, namely sig. (2-tailed) 0.0000.05. The regression test results show that Rabbani character values affect learning outcomes by 12.8%. This indicates that this character value is one of the aspects that has a major influence in improving the mathematics learning outcomes of prospective madrasah ibtidaiyah teachers.

Pelatihan Penggunaan Media Pembelajaran Berbasis Permainan (Digital Game Bassed Learning) Menggunakan Aplikasi Kahoot bagi Guru Madrasah MIN 3 Langkat

Digital based game learning is a medium that contains educational content that is translated into games with the aim of involving students. Digital game based learning utilizes learning through learning patterns and playing using a computer or smartphone. Through this media, students are stimulated by three things at once, namely emotional intelligence, cognitive intelligence and psychomotor skills. This community service activity aims to improve the skills of participants, namely MIN 3 Langkat teachers, in using digital teaching media based on game learning. Implementation of community service is carried out through several stages such as Pre-Survey, Formation of a PKM Team, Making Proposals, Coordinating Teams and Partners, Preparing Training Tools & Materials, Implementing training, evaluating. The number of participants was around 25 MIN 3 Langkat teachers. They feel they have gained insights and skills that are applicable and useful. After attending the training, all participants who initially did not know and could not use the Kahoot application became aware and even 44% of the 25 participants were able to use the Kahoot application well.

Strategies for Fostering Nationalism through Buya Hamka's Sufism Educational Lens in the Digital Era

This study examines how Buya Hamka's Sufism education can foster the spirit of nationalism in the digital era. This study employs the phenomenological hermeneutic and content analysis approaches to extract and analyze Buya Hamka's views on spiritual intelligence and its role in fostering social purity. The findings reveal strategies from Buya Hamka to promote nationalism in the digital age by incorporating Sufism principles and practices into the educational framework. Hamka considers Sufism a unifying force capable of transcending divisions based on ethnicity and region. Sufism provides a common ground for Indonesians of various backgrounds to unite under a shared Islamic identity. Further, he argues the significance of Islam's inner and spiritual dimensions, such as spiritual discipline, as integral components of Islamic education. Education should stress elevating cognitive intelligence and nurture qualities such as compassion, humility, and integrity. In Hamka's view, Islamic education combines traditional Islamic teachings, Sufism principles, and a commitment to developing a strong national character.Contribution: This study provides a new perspective on education promoted by Buya Hamka to shape national identity in the digital era. Hamka insists on character building, cognitive and spiritual intelligence, and building nationalism character in Islamic education.

Concept cognition for knowledge graphs: Mining multi-granularity decision rule

As part of cognitive intelligence, concept cognition for knowledge graphs aims to clearly grasp the typical characteristics of the things referred to by the concept, which can provide prior knowledge for machine understanding and thinking. Different from concept learning and formal concept analysis that learn new concepts from data and the general decision rule that comes from an independent decision table, this paper cognizes an existing concept by decision rules that come from multiple granularities. Specifically, 1) concept cognition for knowledge graphs is realized from the perspective of mining multi-granularity decision rule. 2) Decision tables corresponding to four granularities form a multi-granularity decision table group, and then the result from coarser granularity can guide and help obtaining the result from finer granularity. 3) We propose a framework for mining multi-granularity decision rules, which involves going from a multi-granularity decision table group to the frequent maximal attribute patterns to the decision rules to the credible decision rules. Finally, we verified effectiveness of dividing positive and negative data, monotonicity of attribute patterns in a multi-granularity decision table group, and downward monotonicity of credibility, and observed the impact of the parameter min_cov and min_conf on execution times.

Pengaruh Metode Hafalan Terhadap Kecerdasan Kognitif Siswa Pada Mata Pelajaran Pendidikan Agama Islam (PAI) Di SMP Takhassus Al-Qur’an Wonosobo

Education is an activity that helps people talk about what they already know in order to broaden their understanding of life's fundamentals. The foundations or principles that guide one's life, particularly those derived from religious ideals, are crucial for governing and enhancing the system of life. Based on observations made by the author at Takhassus Al-Qur'an Middle School, it is stated that there is a lack of student focus in learning and students' abilities vary in receiving learning. However, this does not rule out the possibility that students can stimulate learning more quickly. This can be done by training students' thinking through the rote method because the more the brain gets used to it, the more it will be trained and of course it will increase students' intelligence. The level of cognitive intelligence is divided into 3, namely: level of memory and understanding, level of application, level of analysis, evaluation and creativity. By using the rote method so that the level of cognitive development is observed in memory and understanding.Based on the findings of the author's research, the following conclusions can be drawn: 1) The memorization method for teaching PAI at Takhassus Al-Qur'an Middle School is in the good category, the level of cognitive intelligence of Takhassus Al-Qur'an Middle School students is known to be in the good category and level Student memorization based on memorization scores in PAI learning subjects is in the very good category. 2) hypothesis testing based on the t value, the predetermined value of tcount > ttable, namely 2.867 > 1.69389, while based on the significance value of 0.008 < 0.05, it is concluded that the rote method variable (X) has an effect on the cognitive intelligence variable (Y). simple linear regression (11.151 + 0.363 determination is 0.215, which means it has a positive influence of 21.5% and 78.5% is influenced by other factors that are not yet known by researchers. 3) Supporting factors in the memorization method for students' cognitive intelligence at Takhassus Al-Qur'an Middle School, namely using Mr. Abdurrahman al Asy'ari's method which is practiced in the tahfidz class using a special Al-Qur'an, level of perseverance, consistency in training, environment learning, and student concentration during the learning process.

Critical Appraisal of Definitions on Intelligence within the Organizational Context

This article explores the different forms of intelligence in relation to expanding organizational design and enhancing development, and how it entertains the notions of growth and success. Furthermore, it embraces how the amalgamation of the different forms of intelligence contributes to the relevancy and longevity of the organization. Thereafter, leadership is discussed as crucial for organizational success that reflects engagement of decision intelligence, business intelligence, and competitive intelligence as key pillars of strategic decision-making. These concepts are taken to enable leaders in understanding complex problems that lead to developing innovative and creative solutions. The proposition here is transformative intelligence that is taken to combine these three concepts of intelligence that potentially would revolutionize organizational leadership and consequent decision-making. Simultaneously, the five pillars of leadership, or the 5Qs (Cognitive Intelligence, Digital Emotional Intelligence, Moral Intelligence, Innovation Intelligence, and Spiritual Intelligence), also contribute to strategic decision-making, enabling organizations to achieve desired transformation. This spectrum of reviewing intelligence as a combination concept benefits organization through streamlined decision-making, customer-centricity, anticipating disruptive forces, improved innovation, and better organizational culture. This article examines the scopes and potential drawbacks of each type of intelligence and showcases how adopting a business model which utilizes and combines the aforementioned types of intelligence ultimately creates a stronger and more resilient organization.

Artificial intelligence and human integration: a conceptual exploration of its influence on work processes and workplace learning

ABSTRACT This paper examines the influence of Artificial Intelligence (AI) on job and organizational processes, drawing on sociotechnical systems (STS) theory. It discusses the emergence of AI and its implications for HRD on individual, group, and organizational learning. AI has changed the trajectory of work processes and outcomes, paving the way for the future of work. An AI-human integration process model is proposed to reinforce its influence on job design in response to AI applications in the workplace. Learning is experienced between humans and between humans and AI. AI’s cognitive intelligence is capable of learning from each other through a process of deep learning. Humans, too, can learn from AI to modify their response towards working with AI-enabled applications. The model illustrates the relationships between individuals, work processes, and sociotechnical systems through multilevel interactions. Of relevance to HRD are two critical processes, namely learning and innovating, that facilitate the continuation of AI-human integration, enabling employees to embrace AI as an integral part of their work life. The paper offers several implications for HRD research and practice, recognizing opportunities for workplace learning and the potential constraints and risks arising from AI adoption that are applicable globally and internationally.

Pengembangan Manajemen Pengetahuan Madrasah & Pesantren

The rapid advancement of science and technology in the global era is currently felt in various fields of community life, especially in the fields of education, social and culture, including in boarding school education. In order to face the demands of society, community educational institutions including Islamic boarding schools must be functional, because educational institutions as a forum in society can be used as a gateway in facing the demands of society, science and technology that continue to change. Therefore, in order to become an ideal boarding school, it is necessary to organize the management and development of the boarding school. Islamic boarding school as one of the educational institutions that combines these three aspects, not only emphasizes the cognitive intelligence aspect, but also emphasizes the affective and psychomotor aspects, namely by teaching values and norms in accordance with Islamic law and equipping students with various skills (life skills). The development of management and management of education at PPMI Assalam consists of management elements including man, money, material, method, macine, and market. While the realization steps in order to implement the program are planning, organizing, implementing, and monitoring.

Supporting Emotional Intelligence, Productivity and Team Goals while Handling Software Requirements Changes

Background: Research shows that emotional intelligence (EI) should be used alongside cognitive intelligence during requirements change (RC) handling in Software Engineering (SE), especially in agile settings. Objective: We wanted to study the role of EI in-depth during RC handling. Method: We conducted a mixed-methods study (an interview study followed by a survey study) with 124 software practitioners. Findings: We found the causal condition, intervening condition and causes lead to key direct consequences of regulating own emotions, managing relationships, and extended consequences of sustaining productivity, setting and sustaining team goals. We found several strategies of supporting EI during RC handling. Further, we found strong correlations between six strategies and one being aware of own emotions, regulating own emotions, sustaining team productivity, and setting and sustaining team goals. Conclusion: Empathising with others and tracking commitments and decisions as a team are key strategies that have strong correlations between managing emotions, between sustaining team productivity, and between setting and sustaining team goals. To the best of our knowledge, the framework we present in this paper is the first theoretical framework on EI in SE research. We provide recommendations for software practitioners to consider during RC handling.

Pelatihan Literasi Membaca Nyaring Berbasis Sinektik Langsung dalam Pendidikan Karakter Anak di Desa Cingambul, Majalengka

Pandemic conditions have caused various changes, including in the world of education, in the learning process. Learning that started at school now takes place at home. There are some parents who complain about the difficulty of conditioning their children to be disciplined and willing to study at home with their parents. The impact of studying at home not only affects children's cognitive intelligence, but also aspects of attitude. The method of implementing the service, namely reading aloud training activities, is carried out as a form of anticipation of conditions that are getting worse or even as a solution to improve conditions that are not good. The results of the activity obtained a positive response showing that reading aloud based on direct synectics using fairy tales provides motivation to be enthusiastic about learning, to be a good and responsible child.

Implementation of Augmented Reality in Animal Introduction Learning for Students with Intellectual Disabilities

Introducing animals and their characteristics to mentally disabled students is a complicated matter. Mental retardation is a condition where a person's intellectual and cognitive intelligence is below average, which causes limitations in thinking, solving problems, remembering, and easily losing focus. Because of this, mentally disabled students develop more slowly than normal children their age. To help overcome developmental delays and improve their memory, special treatment and education are needed that suit their needs. Schools can utilize Augmented Reality (AR) technology as an alternative educational tool to make the teaching and learning process at school more fun, interesting and interactive so that it can leave a deep impression on students. This research aims to design and build an application to introduce animals by applying augmented reality technology. This research uses the Multimedia Development Life Cycle (MDLC) method; in this method, there are six stages: concept, design, material collection, design, testing, and distribution, with the testing method using black box testing. This research results in an Android-based augmented reality application for animal recognition for mentally disabled students. This application can make the teaching and learning process more interesting and enjoyable for students and make it easier for teachers to introduce animals and their characteristics.

Hubungan Pemahaman Konsep Biologi Terhadap Etika Makan Sesuai Sunnah di MAN 1 Lombok Barat, Nusa Tenggara Barat

Understanding concepts has a very important role in teaching and learning activities and is the basis for achieving learning outcomes. In terms of understanding concepts, students are not limited to just knowing, but must be able to connect one concept to another. Even though national education aims to form people who are faithful and devout and have noble character, it does not only develop the potential for cognitive intelligence. This research aims to determine the relationship between students' understanding of biological concepts in the digestive system material and eating ethics according to the Sunnah at MAN 1 West Lombok. This research methodology uses a correlational method. The research population is students of MAN 1 West Lombok KLS XI in the 2023/2024 academic year. The sample in this study was KLS XIA as many as 20 people. Data was taken using test questions and questionnaires. The results of the research show: Understanding of Biological Concepts of Digestive System Material at MAN 1 West Lombok is classified into two categories, namely Good (45%), and Fairly Good (55%). Meanwhile, student behavior towards eating and drinking ethics according to the Sunnah at MAN 1 West Lombok is classified into three categories, namely very good (40%), good (55%), and quite good (5%). And correlation calculations show that there is no significant relationship between the understanding of biological concepts regarding the digestive system material and the ethics of eating and drinking according to the Sunnah at MAN 1 West Lombok, namely a significance value of 0.495 > 0.05.

Supporting cognitive intelligence for smart manufacturing systems using HMI design: challenges and fundamental issues

As the rate of digitalisation grows in the manufacturing sector, there is a need to address the manner in which design for the human experience is conceptualised. In industrial systems, user experience/user interface (UX/UI) as a paradigm does not fit in squarely, as industrial technologies require a blend of humans and technology for productivity. Thus, the aim of this article is to highlight the challenges and fundamental issues related to human-machine interaction (HMI) design in smart manufacturing from the disciplines of Human Factors and Interaction Design in terms of major themes: (1) designing for operator experience, (2) meaning-based analytics and design for complexity, and (3) human-centered design process for enabling reliability, maintainability, availability, and safety. These various challenges are depicted using a case study of HMI concept design for monitoring an additive manufacturing setup. The article concludes by discussing future steps for addressing HMI design in the manufacturing sector.

IJCM_358A: A Study of Adversity Quotient, Emotional Quotient and Spiritual Quotient among Medical Undergraduates in Nanded District of Maharashtra

Background: Medical Education deals with vast curriculum, human interactions and huge amount of stress. The changing scenario in medical education with introduction of CBME pattern, just having high Cognitive Intelligence is not enough to achieve academic success. With increasing stress in medical education and uncertainties like Covid-19, it is high time we think beyond Intelligence quotient for professional success. Adversity Quotient (AQ) is a measure of a person’s ability to cope with and overcome adversity. Emotional Quotient (EQ) measures person’s ability to identify and manage their own emotions as well as emotions of others. Spiritual Quotient (SQ) correlates to a person’s awareness and consciousness. Objectives: This study aims to assess AQ, EQ and SQ among Medical Undergraduate students and correlation between them. Methodology: A cross sectional study was conducted from November 2022 to October 2023 on 466 Medical Undergraduate students in Dr Shankarrao Chavan Government Medical college, Nanded, Maharashtra. Data was collected using predesigned, pretested, semi structured e-questionnaire. Data was compiled in MS Excel and analyzed using SPSS. Results: The participants included 262 males and 204 females. The mean AQ, EQ and SQ were 144.28, 329.81 and 57.14 respectively. The study showed high positive correlation between AQ and SQ (r=0.807; p= 0.000), AQ and EQ (r= 0.760; p= 0.000) and EQ and SQ (r= 0.871; p= 0.000) and correlation was significant at 0.01 level (2 tailed). Conclusion: This study concludes high positive correlation between AQ and SQ, AQ and EQ, EQ and SQ. Exploring these quotients helps students become more resilient and better prepared to cope up with the curriculum.

Cognitive intelligence in industrial robots and manufacturing

The transition from manual to autonomous manufacturing processes, which has been propelled by consecutive industrial revolutions, is concurrently contingent upon advancements in artificial intelligence (AI). AI does have dependency on data, making it incompatible in handling industrial uncertainties. Human cognition, adept at navigating uncertain situations, presents a potential solution. This article aims to illuminate the synergy between human cognition and AI algorithms. It underscores the disparity between AI methods and cognitive requirements in manufacturing and robotics through a survey, also proposes methods to infuse cognition into machines and robots for autonomous learning. It outlines the significance of reinforcement learning as a cognitive algorithm, tracing its evolution and showcasing its application in guiding robots for pick-and-place operations in manufacturing.