Prediction of Self-Control Based on Cognitive Intelligence and Socio-Emotional Behavior Assessments in Early Childhood

Purpose: The infrastructure core of self-control, as an indicator of future success, is unsettled. To better investigate the nature of self-control, and strengthening it, it is necessary to know to what extent is self-control based on cognitive or socio-emotional abilities? Materials and Methods: The authors measured the cognitive intelligence and socio-emotional behavior of 377 healthy Iranian children (girl=46.1%) by Wechsler Preschool and Primary Scale of Intelligence (WPPSI-III) and Kindergarten Inventory of Social-Emotional Tendencies (KIST) at the age range of 42-66 months (mean=54.86, SD=5.88). Then, they assessed their Self-control competency 18 months later, to know which component of WPPSI or KIST could better predict Self-control. Results:.The correlation matrix between all study variables shows that there are more positive significant correlations among Self-control with KIST subsets (5/6) than WPPSI subsets (2/10). The results of automatic linear modelling show that the significant predictors of self-control in the total model (R2=0.161) were Hyperactivity-Maladaptive Behavior (HMB(, (coefficient=.137, importance=0.781), and Daily Living Skills (DLS) (coefficient=.127, importance=0.125), so HMB is the best predictor of self-control among the subsets examined in our research. Therefore, self-control is more related to the socio-emotional than cognitive domain. Conclusion: We suggest children who get a low score in socio-emotional assessments, need early supportive intervention and rehabilitation to prevent the maldevelopment of self-control.

A proposal of ethical competence model for cyber security organization

A proactive cyber security plan to safeguard confidential information and privacy still lacks initiatives to avoid frequent harmful attacks. Cybersecurity professionals must possess ethical competence and prove worthy of overseeing valuable information for efficient decision‐making since ethical competence is fundamental for daily practice. There is a need to define what it means to be ethically competent in the era of IR4.0. The previous competence models still lack consideration of both artificial intelligence (AI) and emotional intelligence (EI) skills. AI brings new opportunities to cyber security organizations that focus on AI skills related to cognitive Intelligence or intelligent quotient (IQ). EI, which refers to emotional quotient (EQ), is a good predictor of ethical competence as it can perceive and express emotions precisely to facilitate thought to understand and manage emotions. However, practically, most cyber security organizations focused on AI skills and disregarded EI skills' roles. This research proposes a cyber artemotional model that blends AI skills and EI skills for cyber security employees. This research would benefit cyber security organizations with cyber artemotional model as employees ethical competence assessment, and it is in line with the demand of IR4.0.

Birth order and prosociality in the early adolescent brain

Birth order is a crucial environmental factor for child development. For example, later-born children are relatively unlikely to feel secure due to sibling competition or diluted parental resources. The positive effect of being earlier-born on cognitive intelligence is well-established. However, whether birth order is linked to social behavior remains controversial, and the neural correlates of birth order effects in adolescence when social cognition develops remain unknown. Here, we explored the birth order effect on prosociality using a large-scale population-based adolescent cohort. Next, since the amygdala is a key region for sociality and environmental stress, we examined amygdala substrates of the association between birth order and prosociality using a subset neuroimaging cohort. We found enhanced prosociality in later-born adolescents (N = 3160), and observed the mediating role of larger amygdala volume (N = 208) and amygdala-prefrontal functional connectivity with sex-selective effects (N = 183). We found that birth order, a non-genetic environmental factor, affects adolescent social development via different neural substrates. Our findings may indicate the later-born people’s adaptive survival strategy in stressful environments.

Using Computer Cognitive Atlas to Improve Students' Divergent Thinking Ability

Human society has entered the era of intelligence. Social development in the era of intelligence has spawned a large number of intelligent applications. Intelligent applications have put forward unprecedented requirements on the level of cognitive intelligence of machines, and the realization of machine cognitive intelligence depends on knowledge map technology. Divergent thinking is an important part of thinking and an important indicator for measuring innovative thinking. The research in this article found that after the experiment, the associated probabilities of the F values of fluency, flexibility, uniqueness, semantic divergence, graphical divergence, and problem divergence were 0.389, 0.442, 0.594, 0.267, 0.319, and 0.478, which were all greater than the significance level of 0.05, That is, the divergent thinking ability of the experimental group has been significantly improved. The results of this study show that the use of computer cognitive maps can improve students' divergent thinking ability.

Using Computer Cognitive Atlas to Improve Students' Divergent Thinking Ability

Human society has entered the era of intelligence. Social development in the era of intelligence has spawned a large number of intelligent applications. Intelligent applications have put forward unprecedented requirements on the level of cognitive intelligence of machines, and the realization of machine cognitive intelligence depends on knowledge map technology. Divergent thinking is an important part of thinking and an important indicator for measuring innovative thinking. The research in this article found that after the experiment, the associated probabilities of the F values of fluency, flexibility, uniqueness, semantic divergence, graphical divergence, and problem divergence were 0.389, 0.442, 0.594, 0.267, 0.319, and 0.478, which were all greater than the significance level of 0.05, That is, the divergent thinking ability of the experimental group has been significantly improved. The results of this study show that the use of computer cognitive maps can improve students' divergent thinking ability.

Using Denotational Mathematics for the Formal Description of Home UbiHealth Decision-Support Systems With Knowledge Flow

Home UbiHealth applications require support from decision-making and decision-support components. The decision process must possess a holistic perspective about the individual's healthcare condition and needs at home. Also, it shall consider and evaluate the available data, producing cognitive intelligence through appropriate processing. The present work describes a model for decision-making and decision-support in UbiHealth environments based on denotational mathematics. The decision-making component of the model provides the necessary actions to handle the connected devices. The decision-support component suggests actions to the user (physician). The decisions are drawn from a simulated operation of cooperating and co-existing semantic networks. The model is thoroughly described, and its positive impact is explained for all participating stakeholders including medical professionals, patients, information technology scientists, and technical personnel.

Learning the Indonesian Language through Fictional Text Based on Ecological Literacy (Malay-Langkat) as an Effort to Realize Literate Generation

Education is a place where humans are formed to find and collect various information that will certainly be useful for shaping and developing human cognitive intelligence about many things, one of which is about ecology (environment / nature). In studying Indonesian, ecological discourse material (text) is one strategy to integrate environmental education and social interaction, as well as cultural customs of the community, especially Malay-Langkat which aims to form and develop mindsets and patterns of action, as well as healthy behavior both physically and mentally in everyday life. Through literary learning, educators are required to be more creative and sensitive in choosing interesting and suitable materials to be delivered instead of just fixating on the targets to be delivered and existing lesson plans, without thinking further about other things that can be used as a source of learning. But the availability of local ecology-based texts is still very little. This research aims to produce a Malay- Langkat literacy-based fiction text material that is feasible and effectively used at the high school level. So this research will focus more on developing a literacy culture to produce a literate generation, a generation that understands what is read and does something based on its understanding of the content of the reading. The literate generation is a generation that is intelligent, capable, characterful, and competitive. This research is a development research that adapts the 4-D Development model. Research and development steps are carried out using modifications and the Thiagarajan development model that is 4-D. This development model uses 4 stages consisting of define, design, development and dissemination.

6G Enabled Tactile Internet and Cognitive Internet of Healthcare Everything: Towards a Theoretical Framework

Digital era deficiencies traditionally exist in healthcare applications because of the unbalanced distribution of medical resources, especially in rural areas globally. Cognitive data intelligence, which constitute the integration of cognitive computing, massive data analytics, and tiny artificial intelligence, especially tiny machine learning, can be used to palpate a patient’s health status, physiologically and psychologically transforming the current healthcare system. To remotely detect patients’ emotional state of diagnosing diseases, the integration of 6G enabled Tactile Internet, cognitive data intelligence, and Internet of Healthcare Everything is proposed to form the 6GCIoHE system that aims at achieving global ubiquitous accessibility, extremely low latency, high reliability, and elevated performance in cognitive healthcare in real time to ensure patients receive prompt treatment, especially for the haptic actions. Judiciously, a model-driven methodology is proffered to facilitate the 6GCIoHE system design and development that adopts different refinement levels to incorporate the cognitive healthcare requirements through the interactions of semantic management, process management, cognitive intelligence capabilities, and knowledge sources. Based on the 6GCIoHE system architecture, applications, and challenges, the aim of this study was accomplished by developing a novel theoretical framework to captivate further research within the cognitive healthcare field.

MANAJEMEN PEMBELAJARAN SENTRA ALAM PADA ANAK USIA DINI DALAM MENINGKATKAN KECERDASAN KONGNITIF ANAK

This study aims to understand and analyze the management of natural center learning in early childhood in improving children's cognitive intelligence in Raudlatul Athfal Zainul Hasan, Tambelang Village, Krucil District, Probolinggo Regency. This research uses a qualitative type of case study. Data collection techniques are carried out through interviews, observation and documentation. The data analysis was carried out in a circular manner, starting from the data display, followed by drawing conclusions. The results showed that the learning management of natural centers in improving students' cognitive intelligence was carried out through planned and systematic planning by the teacher with reference to policies that have been determined by the government and existing local policies, followed by implementation of learning activities that try to bring students to the real world and ends with an evaluation based on authentic assessment.