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Heudin, Jean-Claude. "Intelligence artificielle et intelligence humaine." Futuribles N° 428, no. 1 (2019): 93. http://dx.doi.org/10.3917/futur.428.0093.
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Portnoff, André-Yves. "Santé et intelligence artificielle." Futuribles N° 425, no. 4 (2018): 53. http://dx.doi.org/10.3917/futur.425.0053.
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Portnoff, André-Yves, and Jean-François Soupizet. "Intelligence artificielle : opportunités et risques." Futuribles N° 426, no. 5 (2018): 5. http://dx.doi.org/10.3917/futur.426.0005.
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Rosental, Claude. "De la démo-cratie en Amérique [Formes actuelles de la démonstration en intelligence artificielle]." Actes de la recherche en sciences sociales 141, no. 1 (2002): 110–20. http://dx.doi.org/10.3406/arss.2002.2827.
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Canfora, Luciano. "Lire à Athènes et à Rome." Annales. Histoire, Sciences Sociales 44, no. 4 (August 1989): 925–37. http://dx.doi.org/10.3406/ahess.1989.283632.
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Dans le monde grec l'alphabétisation généralisée est un programme d'utopistes. Dans les îles du Soleil, mystérieuses et très agréables, que Iamboulos, d'après Diodore, aurait visitées à une époque non précisée, la connaissance des signes alphabétiques, de même que la connaissance de l'astrologie, étaient l'objet de la plus grande attention. On avait adopté une écriture artificielle basée sur sept lettres, dont chacune avait quatre emplois différents ; Diodore ajoute un détail curieux : on avait l'habitude d'écrire en procédant verticalement, de haut en bas. L'ordre est manifestement bouleversé dans les îles du Soleil : le travail n'existe pas, la nourriture est abondante et spontanée, la mort est douce autant que la vie, l'écriture procède verticalement. L'alphabétisation universellement répandue est donc un aspect de ce bouleversement utopique.
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Nguyen, Huy-Thanh, and Le-Minh Nguyen. "ILWAANet: An Interactive Lexicon-Aware Word-Aspect Attention Network for aspect-level sentiment classification on social networking." Expert Systems with Applications 146 (May 2020): 113065. http://dx.doi.org/10.1016/j.eswa.2019.113065.
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Krkač, Kristijan. "Corporate social irresponsibility: humans vs artificial intelligence." Social Responsibility Journal 15, no. 6 (September 2, 2019): 786–802. http://dx.doi.org/10.1108/srj-09-2018-0219.
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Purpose The supposedly radical development of artificial intelligence (AI) has raised questions regarding the moral responsibility of it. In the sphere of business, they are translated into questions about AI and business ethics (BE) and corporate social responsibility (CSR). The purpos of this study is to conceptually reformulate these questions from the point of view of two possible aspect-changes, namely, starting from corporate social irresponsibility (CSI) and starting not from AIs incapability for responsibility but from its ability to imitate human CSR without performing typical human CSI. Design/methodology/approach The author draws upon the literature and his previous works on the relationship between AI and human CSI. This comparison aims to remodel the understanding of human CSI and AIs inability to be CSI. The conceptual remodelling is offered by taking a negative view on the relation. If AI can be made not to perform human-like CSI, then AI is at least less CSI than humans. For this task, it is necessary to remodel human and AI CSR, but AI does not have to be CSR. It is sufficient that it can be less CSI than humans to be more CSR. Findings The previously suggested remodelling of basic concepts in question leads to the conclusion that it is not impossible for AI to act or operate more CSI then humans simply by not making typical human CSIs. Strictly speaking, AI is not CSR because it cannot be responsible as humans can. If it can perform actions with a significantly lesser amount of CSI in comparison to humans, it is certainly less CSI. Research limitations/implications This paper is only a conceptual remodelling and a suggestion of a research hypothesis. As such, it implies particular morality, ethics and the concepts of CSI and AI. Practical implications How this remodelling could be done in practice is an issue of future research. Originality/value The author delivers the paper on comparison between human and AI CSI which is not much discussed in literature.
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Yang, Hongwei, Zhigeng Pan, Mingmin Zhang, and Chunhua Ju. "Modeling emotional action for social characters." Knowledge Engineering Review 23, no. 4 (December 2008): 321–37. http://dx.doi.org/10.1017/s0269888908000027.
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AbstractEmotion is an important aspect of human intelligence and has been shown to play a significant role in the human decision-making process. This paper proposes a comprehensive computational model of emotions that can be incorporated into the physiological and social components of the emotions. Since interaction between characters can have a major impact on emotional dynamics, the model presents a social learning component for learning associations among characters, which in turn affects the character’s decision-making and social interactions. The model also designs a set of personality progression functions to enhance individual differences. In addition, we demonstrate this empirically through a computer simulation of a dynamic environment inhabited by a few characters to test our emotional model. The experiments show the effectiveness of our emotional model to build believable characters during interaction with the virtual environment.
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Sarnoto, Ahmad Zain, and Siti Maria Ulfa. "KECERDASAN SOSIAL DALAM PEMBELAJARAN KOOPERATIF PERSPEKTIF AL-QUR’AN." Academy of Education Journal 12, no. 2 (July 1, 2021): 294–302. http://dx.doi.org/10.47200/aoej.v12i2.739.
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This study concluded that social intelligence is a person's ability to understand other people and care about the social environment. This is based on the two dimensions of social intelligence from the perspective of the Koran that the authors found, namely the feeling dimension (affective aspect) and the action dimension (psychomotic aspect). In the feeling dimension (affective aspect) consists of empathy and sincerity, while the action dimension (psychomotic realm) consists of helping, friendship, caring and communication. This means that the Qur'an describes the balance between habl ma'a Khaliqih and habl ma'a ikhwanih. Thus, this Quran-based cooperative learning model can help improve children's social intelligence. Cooperative learning is a learning model using a system of grouping students, who have different academic backgrounds, gender, race, or ethnicity (heterogeneous). Cooperative learning can form interpersonal skills because there are elements of working together, helping each other, helping out and discussing. This is based on the two indicators of cooperative learning in the perspective of the Qur'an that the author found, namely helping and deliberation. The approach used in this study is a qualitative approach. While the method used is a thematic interpretation method. The data collection technique used is through literature study
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Romanenko, M. I., B. V. Bratanich, and A. M. Romanenko. "Interdisciplinary understanding of the objectivity of social intelligence." Науково-теоретичний альманах "Грані" 22, no. 1 (March 22, 2019): 50–56. http://dx.doi.org/10.15421/17197.
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The basic directions of research of social intellect in the framework of the problems of its social determinacy, the emphasis on its individual measurement and the isolation of the communicative direction of research, which emphasizes the importance of social intelligence as a communicative resource, are established. The significance of social intelligence as the cognitive basis of communicative competence, which affects the ability of a person to understand and predict the behavior of people in different life situations, to understand and adequately assess oneself and their actions and actions with respect to others, is substantiated. The generalization of the understanding of social intelligence in the framework of different approaches is carried out as the ability to adequately understand and evaluate their behavior and behavior of other people, that is, as a behavioral and communicative phenomenon and an aspect of interpersonal social interaction and communication. A general conclusion is drawn regarding the nature of social intelligence as an integral personal ability that determines the success of a person as a subject of interpersonal relations and communication on the basis of influence on such processes as the understanding and prediction of their own behavior and behavior of other people in situations of interpersonal communication; socialization, inculcation, social adaptation, etc. The main discussion problems in the field of research of social intelligence, which include heterogeneity of methodological approaches to its analysis, uncertainty of social intelligence as a cognitive phenomenon; the availability of approaches to the identification of social intelligence and other forms of cognitive activity of man, are singled out. The priority of research of the problem of measurement of social intelligence and development of measuring methods and their use in educational activity is substantiated.
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Myznikov, A., M. Zheltyakova, A. Korotkov, M. Kireev, R. Masharipov, O. Dz Jagmurov, U. Habel, and M. Votinov. "Neuroanatomical Correlates of Social Intelligence Measured by the Guilford Test." Brain Topography 34, no. 3 (April 18, 2021): 337–47. http://dx.doi.org/10.1007/s10548-021-00837-1.
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AbstractSocial interactions are a crucial aspect of human behaviour. Numerous neurophysiological studies have focused on socio-cognitive processes associated with the so-called theory of mind—the ability to attribute mental states to oneself and others. Theory of mind is closely related to social intelligence defined as a set of abilities that facilitate effective social interactions. Social intelligence encompasses multiple theory of mind components and can be measured by the Four Factor Test of Social Intelligence (the Guilford-Sullivan test). However, it is unclear whether the differences in social intelligence are reflected in structural brain differences. During the experiment, 48 healthy right-handed individuals completed the Guilford-Sullivan test. T1-weighted structural MRI images were obtained for all participants. Voxel-based morphometry analysis was performed to reveal grey matter volume differences between the two groups (24 subjects in each)—with high social intelligence scores and with low social intelligence scores, respectively. Participants with high social intelligence scores had larger grey matter volumes of the bilateral caudate. The obtained results suggest the caudate nucleus involvement in the neural system of socio-cognitive processes, reflected by its structural characteristics.
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Ardiansyah, Ardiansyah. "MENGEMBANGKAN KECERDASAN MULTIPLE INTELLEGENCE ANAK USIA DINI." Musawa: Journal for Gender Studies 13, no. 1 (June 30, 2021): 106–33. http://dx.doi.org/10.24239/msw.v13i1.742.
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The golden age is a period that cannot be repeated again. This period also determines the life of a human being in the future. When learning there are aspects that experience development, namely cognitive, abstract thinking, creative thinking, social-emotional, motor, language or communication, and can also develop creativity. So from this aspect it can improve the development of children's multiple intelligences. Multiple Intelligences include verbal linguistics, logical-mathematical, visual spatial, musical, kinetic, intrapersonal, interpersonal, naturalist and existential. The purpose of this study is to analyze how multiple intelligences can be developed in early childhood. With this research, parents can recognize the intelligence of children and even direct and develop intelligence to the fullest. This research is a qualitative research with literature study. The results of this study are Multiple Intelligence in the aspect of linguistic intelligence and Interpersonal intelligence is very important to be developed in early childhood, because it becomes a bridge in developing children's intelligence, the development of linguistic intelligence provides communication and socialization skills and expresses children to the outside world, while Interpersonal intelligence provides the ability to manage emotional-social so that it becomes a controller for children in thinking and acting towards maturity.
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Ardiansyah, Ardiansyah, and Moh. Alamsyah. "MENGEMBANGKAN KECERDASAN MULTIPLE INTELLEGENCE ANAK USIA DINI." Musawa: Journal for Gender Studies 13, no. 1 (June 30, 2021): 106–33. http://dx.doi.org/10.24239/msw.v13i1.746.
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The golden age is a period that cannot be repeated again. This period also determines the life of a human being in the future. When learning there are aspects that experience development, namely cognitive, abstract thinking, creative thinking, social-emotional, motor, language or communication, and can also develop creativity. So from this aspect it can improve the development of children's multiple intelligences. Multiple Intelligences include verbal linguistics, logical-mathematical, visual spatial, musical, kinetic, intrapersonal, interpersonal, naturalist and existential. The purpose of this study is to analyze how multiple intelligences can be developed in early childhood. With this research, parents can recognize the intelligence of children and even direct and develop intelligence to the fullest. This research is a qualitative research with literature study. The results of this study are Multiple Intelligence in the aspect of linguistic intelligence and Interpersonal intelligence is very important to be developed in early childhood, because it becomes a bridge in developing children's intelligence, the development of linguistic intelligence provides communication and socialization skills and expresses children to the outside world, while Interpersonal intelligence provides the ability to manage emotional-social so that it becomes a controller for children in thinking and acting towards maturity.
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Irsandef, Ahmad Bunayya, Taufik Taufik, and Netrawati Netrawati. "Profile of emotional intelligence and spiritual intelligence of adolescents from divorced families." JPPI (Jurnal Penelitian Pendidikan Indonesia) 4, no. 2 (November 23, 2018): 84. http://dx.doi.org/10.29210/02018241.
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<p>This research aims to reveal the emotional intelligence of adolescents from divorced families in terms of self-awareness, self-regulation, self-motivation, empathy, and social skills, and spiritual intelligence seen from the aspects of critical existential thinking, personal meaning production, trancendental awareness, and conscious state expansion. This research is descriptive, with research subjects being adolescents from divorced families in the Padang City, amounting to 30 people. The instrument used was a questionnaire with a Likert scale model. The data obtained were analyzed using percentage techniques. The research findings regarding emotional intelligence show that most adolescents from divorced families in Padang City have moderate emotional intelligence. Based on the aspects of emotional intelligence it was found that most of them had moderate self-awareness, self-regulation, self-motivation, empathy, and social skills. The research findings regarding spiritual intelligence show that most adolescents from divorced families in Padang City have moderate spiritual intelligence. Based on the aspect of spiritual intelligence it was found that most of them had moderate critical existential thinking, personal meaning production, transcendental awareness, and conscious state expansion.</p>
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Mao, W., and J. Gratch. "Modeling Social Causality and Responsibility Judgment in Multi-Agent Interactions." Journal of Artificial Intelligence Research 44 (May 30, 2012): 223–73. http://dx.doi.org/10.1613/jair.3526.
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Social causality is the inference an entity makes about the social behavior of other entities and self. Besides physical cause and effect, social causality involves reasoning about epistemic states of agents and coercive circumstances. Based on such inference, responsibility judgment is the process whereby one singles out individuals to assign responsibility, credit or blame for multi-agent activities. Social causality and responsibility judgment are a key aspect of social intelligence, and a model for them facilitates the design and development of a variety of multi-agent interactive systems. Based on psychological attribution theory, this paper presents a domain-independent computational model to automate social inference and judgment process according to an agents causal knowledge and observations of interaction. We conduct experimental studies to empirically validate the computational model. The experimental results show that our model predicts human judgments of social attributions and makes inferences consistent with what most people do in their judgments. Therefore, the proposed model can be generically incorporated into an intelligent system to augment its social and cognitive functionality.
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Makhsin, Mardzelah, Nor Hasimah Ismail, Sawan @. Mohammad Syawal Narawi, Hasanah Mohd Syukri, and Mohamad Fadhli Ilias. "HISBAH SOCIAL INTELLIGENCE AND THE EXCEL OF SECONDARY SCHOOL STUDENTS." International Journal of Education, Psychology and Counseling 6, no. 42 (September 5, 2021): 188–203. http://dx.doi.org/10.35631/ijepc.642015.
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Hisbah is self and social control over the obedience to all the commands of Allah SWT, namely al-amr bi al-ma’ruf wa al-nahy ‘an al-munkar. This study aims to identify the components and levels of social accountability and student development from a moral aspect. The purpose of this study is also to identify the relationship of social hisbah intelligence in shaping the well-being of secondary school students. This study uses a quantitative method involving 281 students. The research instrument used is a questionnaire containing 55 items, consisting of three main parts, namely the background of students, social intelligence, and student development. Data were analyzed descriptively and inferentially using percentage, frequency, mean score, standard deviation, t-test, and Pearson correlation. Overall, the findings of the study showed that the average mean score was at a high level for the level of social ratio (mean = 4.17) and student achievement (mean = 3.73). The results of correlation analysis showed that there was a significant relationship between social intelligence (r = 0.439, p <0.01) with the well-being of high school students. The study can be used as a guide by relevant parties including students, parents, teachers, schools, and the community to control and improve the intelligence of social hisbah which aims to shape the personality of pious people who implement al-amr bi al-ma’ruf wa al-nahy ‘an al-munkar.
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Halchenko, Maksym. "INTELLIGENCE AND THINKING IN CONCEPTS OF CONTEMPORARY EPISTHEMOLOGY." Educational Discourse: collection of scientific papers, no. 5(5) (June 20, 2018): 7–16. http://dx.doi.org/10.33930/ed.2018.5007.5(5)-1.
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Epistemological structures do not appear to be the conscious meaning of thinking, but they define its concrete form. This phenomenon belong to both everyday and scientific thinking. The growth of the number of cognitive theories reveals their social aspect, the connection with the Bergsonian theory of anti-intellectual intuitionism. Adaptation of intelligence to social history provided the thinking with the internal structure in accordance with the realities of the outside world. Of great importance in the study of cognition is the concept of "autopoiesis" - the theory of self-reproduction of living systems. This is the first scientific theory that overcomes the division of reason and matter. The cognitive preconditions of the activity of thinking serve as means of interdisciplinary cooperation on its complex and contradictory processes.
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Rizka Fadliah Nur. "POLA ASUH IBU TUNGGAL DALAM MENGEMBANGKAN KECERDASAN SOSIAL ANAK USIA DINI (Studi Deskriptif pada Anak Usia 4 - 6 Tahun)." Musawa: Journal for Gender Studies 13, no. 1 (June 30, 2021): 82–105. http://dx.doi.org/10.24239/msw.v13i1.741.
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The purpose of this study was to determine the role of mothers as single parents in developing their children's intelligence at the age of 4-6 years. This study uses a descriptive quantitative approach with a single variable, namely social intelligence. Social intelligence consists of aspects of social sensitivity, social insight, and social communication. This aspect of social intelligence must be possessed by early childhood. Social intelligence includes empathy, prosocial, self-awareness, understanding of social situations and social ethics, problem solving skills, effective communication, effective listening and being able to lead groups. These skills can be taught to children starting from an early age by their parents, mothers who act as single parents have their own ways to help their children's development because social intelligence in early childhood is not naturally possessed by children, but must be grown and developed. by parents by developing the social and emotional aspects of early childhood. That is why we need various methods that can be used to develop it. One method that parents can use in developing social and emotional aspects in early childhood is through example. Exemplary activities that can be done to develop emotional social intelligence in early childhood.
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Hui, Gong. "Artificial Intelligence and the Future of Labour Demand." Learning & Education 9, no. 2 (November 10, 2020): 61. http://dx.doi.org/10.18282/l-e.v9i2.1400.
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Artificial intelligence (AI) is set to influence every aspect of our lives. As a technology platform, AI can automate tasks previously performed by labour or create new tasks and activities in which humans can be productively employed. Recent technological change has been biased towards automation, with insufficient focus on creating new tasks where labour can be productively employed. The consequences of this choice have been stagnating labour demand, declining labour share in national income, rising inequality and lowering productivity growth. The current tendency is to develop AI in the direction of further automation, with better economic and social outcomes.
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Bratton, Darrell, and Val Candy. "Federal Government Ethics: Social Media." International Journal of Management & Information Systems (IJMIS) 17, no. 3 (May 24, 2013): 175. http://dx.doi.org/10.19030/ijmis.v17i3.7866.
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The federal government has not escaped the increasing worldwide useof social networking. Federal employees are using social networks (socialmedia) for personal and professional reasons and leadership and management arewrestling with the ethical implications.The role of ethical theory and practice in the global businessenvironment is discoursed from the federal governments vantage point withrespect to social networking. Given thehistory of federal government officials and employees acting in an unethicalmanner, multiple normative ethical theories are investigated. The leadership is examined with a utilitarianlens and non-management employees are studied from the Kantianperspective. Additionally, virtue ethicsare discussed as a counter argument to the aforementioned theories. Cultural intelligence is discussed as havingreciprocal relationship with the multicultural and global aspect of socialnetworking. It is argued that ethicalintelligence needs to be created to support the minimum requirement of a codeof ethics for federal employees to follow when using social networking.
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Salguero, José M., Pablo Fernández-Berrocal, Nekane Balluerka, and Aitor Aritzeta. "Measuring Perceived Emotional Intelligence in the Adolescent Population: Psychometric Properties of the Trait Meta-Mood Scale." Social Behavior and Personality: an international journal 38, no. 9 (October 1, 2010): 1197–209. http://dx.doi.org/10.2224/sbp.2010.38.9.1197.
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The Trait Meta-Mood Scale (TMMS; Salovey, Mayer, Goldman, Turvey, & Palfai, 1995) is a well-established measure of perceived emotional intelligence, an aspect of emotional intelligence that includes people's beliefs and attitudes about their own emotional experience. Although the TMMS has been widely used in adult populations, until now no data have been reported on its validity in the adolescent population. In the present work we analyzed the psychometric properties of the TMMS in a sample of 1,497 adolescents aged 12 to 17. The results of the confirmatory factor analysis corroborated the 3-factor structure of the original scale (attention to feelings, clarity of feelings, and mood repair); moreover, these dimensions showed adequate reliability and correlated among themselves in the expected fashion. We also found evidence of discriminant validity with the Big Five personality factors and analyzed differences in the TMMS dimensions according to participants' age and sex. We discuss both the implications of these results and the utility of this scale in research on the emotional intelligence construct.
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Mat Rahim, Siti Rohaya, Zam Zuriyati Mohamad, Juliana Abu Bakar, Farhana Hanim Mohsin, and Norhayati Md Isa. "Artificial Intelligence, Smart Contract and Islamic Finance." Asian Social Science 14, no. 2 (January 29, 2018): 145. http://dx.doi.org/10.5539/ass.v14n2p145.
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This study examines the two important aspect of latest technology issues in Islamic finance that related to artificial intelligence (AI) and smart contract. AI refers to the ability of machines to understand, think, and learn in a similar way to human beings, indicating the possibility of using computers to simulate human intelligence. Smart contract is a computer code running on top of a block-chain containing a set of rules under which the parties to that smart contract agree to interact with each other. The main objectives of this article are to evaluate the operations of AI and smart contract, to make comparison between the operations of AI and smart contract. This article concludes that AI and smart contract will have a huge impact in future for Islamic Finance industry.
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Molchanova, Lyudmila N., Larisa N. Malikhova, Alesya A. Kuznetsova, and Anna V. Stulova. "The role of social intelligence in overcoming mental burnout in the aspect of subject genesis of teachers working with children with special educational needs." Perspectives of Science and Education 50, no. 2 (May 1, 2021): 378–86. http://dx.doi.org/10.32744/pse.2021.2.26.
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Among the numerous factors of the subject genesis of teachers, social intelligence plays an important role. Social intelligence is defined as a special quality of a person, her ability to understand, differentiate and predict the verbal and non-verbal behavior of other people and the consequences, quickly and easily come into contact with them, which determine the effectiveness of social interaction. The results of the relationship between social intelligence and mental burnout were obtained by researchers. The problem of the role of social intelligence in overcoming mental burnout is relevant and poorly researched. The teachers working at the Kursk boarding school for children with disabilities at the Kursk boarding school for children with disabilities (all participants are females; N = 50; professional experience up to 43 years) voluntarily took part in the study. Observation and conversation, as well as standardized techniques for diagnosing burnout and social intelligence, were used from a number of empirical methods. To process the research results, computer methods were used by the mathematics of statistical analysis. It has been empirically proven that the underdeveloped ability of teachers to understand the change in the meaning of similar verbal reactions of students, their parents, colleagues, administration (F=4,38; df=2,47; β =-0,412; р=0,019), as well as to logically generalize and highlight common and significant signs in their various non-verbal reactions (F=3,90; df=2,47; β = 0,364; p=0,030) increase the risk of mental burnout. On the contrary, well-developed abilities to foresee the consequences of the behavior of other people in a certain situation can be considered as a factor in overcoming psychosomatic and psycho-vegetative disorders (F = 136,66; β = -0,952; р =0,0000), irritability, resentment, harshness, rudeness, emotional and personal isolation (F = 115,17; β = -0,840; р = 0,0000), the feeling that it is emotionally impossible to help their wards (F = 115,33; β = -0,936; р = 0,0000).
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Ivashkevych, E., and A. Yatsjuryk. "THE DIAGNOSTICS OF THE DEVELOPMENT OF SOCIAL INTELLIGENCE OF THE PERSON USING PROVERBS AND SAYINGS." Психологія: реальність і перспективи, no. 12 (November 3, 2019): 77–82. http://dx.doi.org/10.35619/prap_rv.vi12.52.
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In this article social intelligence of teachers of pre-school educational establishments was analyzed in the context of understanding by the person the meaning of proverbs and sayings which include socially determined sense. The author of the article considers the most important criteria for productive functioning of the teacher’s social intelligence so called successful solution of human social non-standard (including – the most original) tasks, as well as the success of a specialist in the implementation of pedagogical activities. The first involves the mandatory functioning of decision-making mechanism. This mechanism, as well as other functional mechanisms of social intelligence (the mechanism of decentralization, the mechanism of intellectual initiation, reflexive mechanisms, etc.), are predetermined by individual cognition, for example, attention, imagination, perception, memory, thinking. That’s why we have a deal with automatism of functional mechanisms of social intelligence. In the field of mnemonic experience (the mnemonic aspect of social intelligence) conscious experiences are accompanied by a sense of subjective evidence of what had been happened. The mechanism of making a socially balanced decision was analyzed taking into account the complexity, non-standard social situation. This mechanism allows the teacher to move away from intellectual formations of a person as a representative of a certain national-cultural space, and, avoiding prototypes and ethnic stereotypes, to choose the most appropriate for this social situation the mechanism for updating the reflection of the subjective space, the cognitive style of carrying out professional activity, and building a development logic situations of interpersonal interaction, taking into account moral and ethnic norms, values, etc., to make a socially weighed decision. The latter will contribute not only because the teacher will adequately and empathically interact with other actors (colleagues and trustees), but also, including the achievement of the teacher of success in the professional activity. In the functional aspect we are talking about the amplification of social intelligence.
The empirical results of our research allow to distinguish the following tendencies: 1) there are no statistically significant differences in the results of teachers of different groups (including the directors of pre-school educational institutions) according to the success of their interpretation of social meaning at a generalized level; 2) teachers of pre-school educational institutions prevail over the following levels of understanding the meaning of proverbs (sayings), as the “level of concrete understanding” and the “level of global understanding”.
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Lestari, Endang Dewi, Dwi Hidayah, and Suci Murti Karini. "Social maturity among obese children in Surakarta, Indonesia." Paediatrica Indonesiana 46, no. 4 (October 18, 2016): 174. http://dx.doi.org/10.14238/pi46.4.2006.174-8.
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Background Although it is clear that childhood obesity has asso-ciation with many aspects included social aspect, the social matu-rity aspect on childhood obesity is scarcely found.Objective To examine the prevalence of social maturity and thepossible associated factors among obese children.Methods A cross sectional study was conducted from January toFebruary 2005. Twenty percent of elementary schools in every sub-district were randomly selected. All obese children from selectedschools were recruited to the study after obtaining the informedconsent. Criteria of obesity in children was based on BMI e”95 thpercentile according to age and sex. Social maturity was measuredusing Vineland Social Maturity Scale, which consisted of 8 catego-ries, i.e., self-help general, self-help eating, self-help dressing, self-direction, occupation, communication, locomotion, and socializa-tion. Social maturity score was determined using age group. Thetotal score was divided into two categories i.e. immature and ma-ture. Possible associated factors with the social maturity such asgender, maternal education less than 9 years, being held back aclass, and parental guidance by step mother were analyzed usingSPSS 10.0 for Windows.Results There were 158 obese children recruited in the study. Theprevalence of social immaturity was 32.5%. The odds ratio (OR)for parental guidance by single parent or others was 2.32 (95%CI1.01;5.31); OR for intelligence was 3.93 (95%CI 1.42;10.89); ORfor male was 2.41 (95%CI 1.08;5.38) and OR for maternal educa-tion less than 9 years was 1.22 (95%CI 0.61;2.41). Multivariateregression, analysis showed significant association between gen-der (for male OR=2.44; 95%CI 1.06;5.58) and intelligence(OR=3.31; 95%CI 1.12;9.84) with social maturity.Conclusion The prevalence of social maturity in obese children ishigh. The factors associated with social maturity among obese chil-dren are the history of had ever been held back a class and male.Further investigation is needed to find out the understanding ofspecific influence of social maturity in the prevalence of obesity.
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Davies, Sara E. "Artificial Intelligence in Global Health." Ethics & International Affairs 33, no. 02 (2019): 181–92. http://dx.doi.org/10.1017/s0892679419000157.
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AbstractArtificial intelligence (AI) is reaching into every aspect of global health. In this essay, I examine one example of AI's potential contributions and limitations in global health: the prediction, treatment, and containment of a global influenza outbreak. The potential advantages are clear. AI can aid global influenza surveillance platforms by improving the capacity of organizations to look for novel influenza outbreak strains in the right places, to identify populations most likely to spread influenza, and to produce real-time information about the disease's spread by monitoring social media communications to track outbreak events. There are also very real limitations to what AI can do, and it is crucial that AI not be used as an excuse not to invest in strengthening health systems and other traditional components of global healthcare. AI may also be able to improve our understanding of who should receive a vaccine and what is most effective for large-scale vaccine delivery, but there will always be blind spots that the data cannot fill. Investment in healthcare, with attention to the danger of minimal access to care for minority groups that are at risk and in fragile situations, remains the best chance to prepare communities for outbreak detection, surveillance, and containment.
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Sytnik, Svitlana, and Oleksiy Chebykin. "FEATURES OF INTERPERSONAL INTERACTION OF PSYCHOLOGISTS WITH DIFFERENT LEVELS OF SOCIAL INTELLIGENCE." Science and Education 2020, no. 1 (May 2020): 41–48. http://dx.doi.org/10.24195/2414-4665-2020-1-6.
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An important aspect of the professional activity of psychologists is the interpersonal interaction, the effectiveness of which depends on many factors. One of them may be a social intelligence. The study of the relationship between social intelligence and the characteristics of interpersonal interaction can point at the possibility of improving the professional skills of psychologists, through the activation of their social intelligence, which is related to the level of interpersonal interaction. This interaction is an important component of the professionalism of the psychologist. The purpose of the article was to study the relationship of particularities of interpersonal interaction of psychologists with different levels of social intelligence and their individual psychological characteristics. The theoretical and experimental methods were used in the study. The latter include the following methods: "Assessment of interpersonal interaction" (Sytnik S. V.); "Study of Social Intelligence" (J. Guilford); "16-PF Personal Questionnaire" (R. Kettell). The relationship of indicators of interpersonal interaction with social intelligence and character traits of individual were presented in the article. The interpersonal interaction includes such indicators as primary contact, interpersonal communication and interpersonal relationships. A sufficient level of development of social intelligence is associated with effective interpersonal interaction. The direct connections of indicators of interpersonal interaction with such personality traits as sociability, emotional stability, courage, trust, practicality, calmness are determined. The feedback was also identified with traits such as hostility, irritability, low tolerance for frustration, shyness, social passivity, cruelty, anxiety, and selfdoubt. It is investigated that a high level of social intelligence is a condition for the development of all stages of interpersonal interaction. The subjects who are capable of interpersonal interaction at a high level have such traits as sociability, trust, balance, courage, emotional stability. Individuals with a low level of interpersonal interaction often show: emotional instability, social passivity, isolation, hostility, irritability, suspicion. The obtained results are important for the psychological training of psychologists as representatives of socionomic professions, in order to realize themselves in professional activities.
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Teimouri, Hadi, Farnaz Afshar Hoojaghan, Kouroush Jenab, and Sam Khoury. "The Effect of Managers' Business Intelligence on Attracting Foreign Tourists Case Study." International Journal of Organizational and Collective Intelligence 6, no. 2 (April 2016): 1–11. http://dx.doi.org/10.4018/ijoci.2016040101.
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Today, the effect of the tourism industry is observed in all economic, social, cultural, and political dimensions of societies and finding innovative and creative ways to develop it has doubled the importance of research in this area. The purpose of this study is to address the effect of managers' business intelligence on attracting foreign tourists. It is applicable from an objective aspect and descriptive-field from a methodological aspect. The statistical population included all foreign tourists in Shiraz during the time period of June-August 2015 and a random sampling method was employed for sampling. The sample size was estimated equal to 180. Having distributed the questionnaires, 166 questionnaires were acceptable and considered as the basis of conducting the research. Validity of the questionnaire was confirmed via face validity and its reliability was determined using Cronbach's alpha coefficient. More than 70% for all variables under study showed the suitable reliability of the questionnaire. Also, structural equation modeling was employed to test the hypotheses. The results indicated that there is a positive and significant relationship between dimensions of managers' business intelligence and attracting foreign tourists.
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Abidin, Zainal. "PENGEMBANGAN KECERDASAN MAJEMUK (MULTIPLE INTELLIGENCES) DI MADRASAH." Elementary: Jurnal Ilmiah Pendidikan Dasar 3, no. 2 (December 30, 2017): 120. http://dx.doi.org/10.32332/elementary.v3i2.832.
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Intelligence isn’t black and white there are some aspects of human intelligences not just one only. At least, there are nine types of human intelligence called multiple intelligences. Nine types of intelligence is very affecting the success of a person in the competition of life. This paper will discuss the strategy of developing multiple intelligences in madrasah as one of the Islamic educational institutions. In the reality of educational practice in madrasah shows that the priciple of multiple intelligence has long been alpied througth several materials integrated with each other. The development of potential learners in madrasah has long been developed in the several aspect of emotional, intellctual, spiritual, social and individuality intelligence in accordance with the principles of Islamic teaching.
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Xu, Hong, and Xuexian Geng. "People-Centric Service Intelligence for Smart Cities." Smart Cities 2, no. 2 (April 22, 2019): 135–52. http://dx.doi.org/10.3390/smartcities2020010.
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In the era of big data, smart cities have become a promising prospect for governments, citizens, and industrials. Many ideas and their derived systems for smart cities depend on big data for achieving a goal of data intelligence. However, there is an urgent transformation trend from data intelligence to service intelligence in the vision of smart cities due to the living requirements of citizens. People-centric service intelligence in smart cities has to support the realization of people’s needs within urban and social domains. This paper introduces a concept of people-centric service intelligence, defines the level of it and its challenges in the aspect of infrastructure, human dynamics, human understanding and prediction, and the human–machine interface. Then, this paper proposes the theoretical framework and technical frameworks of people-centric service intelligence, and the service intelligence schemas for future construction of smart cities. It will be helpful for governments and industries to design people-centric service intelligence for improving the quality of life, the capabilities of good sustainability, and better development.
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Petcu, A., B. Faltings, and D. C. Parkes. "M-DPOP: Faithful Distributed Implementation of Efficient Social Choice Problems." Journal of Artificial Intelligence Research 32 (July 31, 2008): 705–55. http://dx.doi.org/10.1613/jair.2500.
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In the efficient social choice problem, the goal is to assign values, subject to side constraints, to a set of variables to maximize the total utility across a population of agents, where each agent has private information about its utility function. In this paper we model the social choice problem as a distributed constraint optimization problem (DCOP), in which each agent can communicate with other agents that share an interest in one or more variables. Whereas existing DCOP algorithms can be easily manipulated by an agent, either by misreporting private information or deviating from the algorithm, we introduce M-DPOP, the first DCOP algorithm that provides a faithful distributed implementation for efficient social choice. This provides a concrete example of how the methods of mechanism design can be unified with those of distributed optimization. Faithfulness ensures that no agent can benefit by unilaterally deviating from any aspect of the protocol, neither information-revelation, computation, nor communication, and whatever the private information of other agents. We allow for payments by agents to a central bank, which is the only central authoritythat we require. To achieve faithfulness, we carefully integrate the Vickrey-Clarke-Groves (VCG) mechanism with the DPOP algorithm, such that each agent is only asked to perform computation, report information, and send messages that is in its own best interest. Determining agent i's payment requires solving the social choice problem without agent i. Here, we present a method to reuse computation performed in solving the main problem in a way that is robust against manipulation by the excluded agent. Experimental results on structured problems show that as much as 87% of the computation required for solving the marginal problems can be avoided by re-use, providing very good scalability in the number of agents. On unstructured problems, we observe a sensitivity of M-DPOP to the density of the problem, and we show that reusability decreases from almost 100% for very sparse problems to around 20% for highly connected problems. We close with a discussion of the features of DCOP that enable faithful implementations in this problem, the challenge of reusing computation from the main problem to marginal problems in other algorithms such as ADOPT and OptAPO, and the prospect of methods to avoid the welfare loss that can occur because of the transfer of payments to the bank.
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Tran, Tuan Anh, Jarunee Duangsuwan, and Wiphada Wettayaprasit. "A new approach for extracting and scoring aspect using SentiWordNet." Indonesian Journal of Electrical Engineering and Computer Science 22, no. 3 (June 1, 2021): 1731. http://dx.doi.org/10.11591/ijeecs.v22.i3.pp1731-1738.
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Aspect-based online information on social media plays a vital role in influencing people’s opinions when consumers concern with their decisions to make a purchase, or companies intend to pursue opinions on their product or services. Determining aspect-based opinions from the online information is necessary for business intelligence to support users in reaching their objectives. In this study, we propose the new aspect extraction and scoring system which has three procedures. The first procedure is normalizing and tagging part-of-speech for sentences of datasets. The second procedure is extracting aspects with pattern rules. The third procedure is assigning scores for aspects with SentiWordNet. In the experiments, benchmark datasets of customer reviews are used for evaluation. The performance evaluation of our proposed system shows that our proposed system has high accuracy when compared to other systems.
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Yusrina, Neng Dewi. "USE OF MEDIA STIMULATION OF BEAM HOUSING TO INCREASE CHILDREN'S EMOTIONAL SOCIAL EMOTIONALITY." Empowerment 7, no. 2 (September 30, 2018): 213. http://dx.doi.org/10.22460/empowerment.v7i2p213-223.884.
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ABSTRACTEarly childhood has several aspects of development that need to be improved. Developing children's emotional social influenced by stimuli from the surrounding environment, through teacher school environments can facilitate and provide stimulation to develop children's emotional social optimally. To be able to interact with the surrounding environment, emotional social ability is an initial ability that must be owned by the child. For children to interact with their wider environment. The learningprocess conducted in Kartina Kindergarten Garut Regency to improve the emotional social intelligence of early childhood using the media stimulation of the beam house. This is because the emotional social aspect of children still needs to be improved.This study focuses on the use of home media blocks to improve children's emotional social intelligence. This research was conducted by using qualitative approach of case study method. Data collection techniques used are observation, interview, and documentation. With the subject of the study of students B1 grade 5-6 years of age, teachers and parents.The results obtained from this study show that: (1) the learning process in Katrina Kindergarten Garut Regency has basically been taken through the stages of programmed and systematic planning in the form of RKH (Daily Activity Plan) that produce teaching materials and media used to be an implemented teacher; (2) The use of house block beam stimulation media in children aged 5-6 years in Kartina Kindergarten Tarogong Kidul District Garut Regency quite effective in improving emotional social intelligence;(3) increased emotional social intelligence of children in realizing the development of the child in terms of empathy (sensitivity to the feelings of others); express feelings, restrain anger; independent; can adapt; able to solve personal problems; perseverance; solidarity; courtesy; and respect. Keywords: Media Stimulation Home Beam, Emotional Social Intelligence, Early Childhood
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Su, Jiafu, Yu Yang, Kunpeng Yu, and Na Zhang. "A Method of Partner Selection for Knowledge Collaboration Teams using Weighted Social Network Analysis." Journal of Intelligent Systems 27, no. 4 (October 25, 2018): 577–91. http://dx.doi.org/10.1515/jisys-2016-0140.
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Abstract Partner selection is the primary aspect of the formation of knowledge collaboration teams (KCTs). We propose a method of partner selection for KCTs based on a weighted social network analysis (SNA) method in which the individual knowledge competence and the collaboration performance of candidates are both considered. To select the desired partners, a biobjective 0-1 model is built, integrating the knowledge competence and collaboration performance, which is an NP-hard problem. Then, a multiobjective genetic algorithm (MOGA) is developed to solve the proposed model. Finally, a real-world example is provided to illustrate the applicability of the model, and the MOGA is implemented to search for Pareto solutions of partner selection for KCT in this case. Moreover, some simulation examples are used to test the efficiency of the algorithm. The results suggest that the proposed method can support effective and practical partner selection.
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Das, Amit Kumar, Abdullah Al Asif, Anik Paul, and Md Nur Hossain. "Bangla hate speech detection on social media using attention-based recurrent neural network." Journal of Intelligent Systems 30, no. 1 (January 1, 2021): 578–91. http://dx.doi.org/10.1515/jisys-2020-0060.
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Abstract Hate speech has spread more rapidly through the daily use of technology and, most notably, by sharing your opinions or feelings on social media in a negative aspect. Although numerous works have been carried out in detecting hate speeches in English, German, and other languages, very few works have been carried out in the context of the Bengali language. In contrast, millions of people communicate on social media in Bengali. The few existing works that have been carried out need improvements in both accuracy and interpretability. This article proposed encoder–decoder-based machine learning model, a popular tool in NLP, to classify user’s Bengali comments from Facebook pages. A dataset of 7,425 Bengali comments, consisting of seven distinct categories of hate speeches, was used to train and evaluate our model. For extracting and encoding local features from the comments, 1D convolutional layers were used. Finally, the attention mechanism, LSTM, and GRU-based decoders have been used for predicting hate speech categories. Among the three encoder–decoder algorithms, attention-based decoder obtained the best accuracy (77%).
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Pupung Puspa Ardini and Milawati Eki. "Gerak Tari Kreasi melalui Regio Emilia Approach untuk Meningkatkan Kecerdasan Sosial dan Emosional Anak di Gorontalo." Jambura Early Childhood Education Journal 1, no. 1 (January 20, 2019): 1–8. http://dx.doi.org/10.37411/jecej.v1i1.49.
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The purpose of this research is to know the increase in social intelligence of group B children in the Gorontalo Kindergarten of the Trustees of the City through dance moves creations with the Regio Emilia Approach and find out the increase in emotional intelligence children. The characteristics of the research subjects were children aged 5-6 years. Data collection is carried out by action observation guidelines. The collected data are analyzed statistically using a percentage of several predetermined aspects. The results of this study indicate that (1) in the first cycle, the social intelligence of children from 20 people who completed as many ays 11 people or 55% and those who have not finished are 9 people or 45%, while the aspects of children's emotional intelligence are complete as many as 9 people or 45 % and the unfinished is 11 people or 55%. In the second cycle, the social intelligence of children from 20 people who completed as many as 16 people or 80% and those who have not finished are 4 people or 20%, while in the emotional intelligence aspects of children of 20 people completed as many as 17 people or 85% and those who have not finished are 3 people or 15%. There is an increase in the percentage (%) of the success of the first cycle of cycle II, especially on aspects of child social intelligence from 55% to 80%. The increase occurred by 25% after doing various reflections on learning actions. Whereas in the aspect of emotional intelligence from cycle I to cycle II there was an increase of 30%, from 55% to 85%.
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Stewart, Suzanne L. K., Clea Wright, and Catherine Atherton. "Deception Detection and Truth Detection Are Dependent on Different Cognitive and Emotional Traits: An Investigation of Emotional Intelligence, Theory of Mind, and Attention." Personality and Social Psychology Bulletin 45, no. 5 (September 28, 2018): 794–807. http://dx.doi.org/10.1177/0146167218796795.
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Despite evidence that variation exists between individuals in high-stakes truth and deception detection accuracy rates, little work has investigated what differences in individuals’ cognitive and emotional abilities contribute to this variation. Our study addressed this question by examining the role played by cognitive and affective theory of mind (ToM), emotional intelligence (EI), and various aspects of attention (alerting, orienting, executive control) in explaining variation in accuracy rates among 115 individuals (87 women; mean age = 27.04 years [ SD = 11.32]) who responded to video clips of truth-tellers and liars in real-world, high-stakes contexts. Faster attentional alerting supported truth detection, and better cognitive ToM and perception of emotion (an aspect of EI) supported deception detection. This evidence indicates that truth and deception detection are distinct constructs supported by different abilities. Future research may address whether interventions targeting these cognitive and emotional traits can also contribute to improving detection skill.
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Kiikov, Vitalii. "The Social Competence of Police Cadets as Sociology Conception." Studies of Changing Societies 2013, no. 2 (November 5, 2014): 64–76. http://dx.doi.org/10.2478/scs-2014-0169.
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AbstractThe purpose of this paper is to clarify the definition of social competence and its application in police practice, introduction of the police officer social competence structure, the subsequent description of its components. The efficiency in problems solving, which police officer encounter in daily service, as well as the quality of cooperation between police and community directly depends on the level of social competence development, the interiorization of social norm and values in personality structure of police officer, such as tolerance, respect of human rights, motivation for social interaction, culture of communication, social intelligence, emotionally-volitional stability etc. Therefore, the objectives of educative work in police high school have to include the purposeful formation of social competence as a requirement of contemporary democratic society. Another aspect of social competence formation in police cadets through educational means is utilization of moral potential of education, which is essential in rapidly changing societies for efficient socialization of such professional group as police officers.
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Timang, Meti, Bernadetha Nadeak, and Hotmaulina Sihotang. "THE INFLUENCE OF THE PRINCIPAL'S MANAGERIAL ABILITY, TRAINING AND SPIRITUAL INTELLIGENCE ON TEACHER PERFORMANCE AT SMPN 1 RANTEPAO." International Journal of Research -GRANTHAALAYAH 9, no. 2 (March 3, 2021): 248–56. http://dx.doi.org/10.29121/granthaalayah.v9.i2.2021.3526.
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The purpose of this study was to find out the influence of the headmaster's managerial ability on teacher performance, the influence of Teacher Spiritual Intelligence on Teacher performance, the influence of Teacher Training on student achievement, the influence of the principal's managerial ability, teacher training and spiritual intelligence on teacher performance at SMP Negeri 1 Rantepao. The method used in this research is a research method that is more towards the objective measurement aspect of social phenomena. The results showed that referring to the results of double linear regression analysis, and it can be concluded that managerial ability, training and spiritual intelligence have a significant and positive effect on teacher performance at SMP Negeri 1 Rantepao, meaning that if managerial ability, training and spiritual intelligence improve then the performance of teachers at SMP Negeri 1 Rantepao increased.
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Niccolai, Alessandro, Francesco Grimaccia, Marco Mussetta, Alessandro Gandelli, and Riccardo Zich. "Social Network Optimization for WSN Routing: Analysis on Problem Codification Techniques." Mathematics 8, no. 4 (April 14, 2020): 583. http://dx.doi.org/10.3390/math8040583.
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The correct design of a Wireless Sensor Network (WSN) is a very important task because it can highly influence its installation and operational costs. An important aspect that should be addressed with WSN is the routing definition in multi-hop networks. This problem is faced with different methods in the literature, and here it is managed with a recently developed swarm intelligence algorithm called Social Network Optimization (SNO). In this paper, the routing definition in WSN is approached with two different problem codifications and solved with SNO and Particle Swarm Optimization. The first codification allows the optimization algorithm more degrees of freedom, resulting in a slower and in many cases sub-optimal solution. The second codification reduces the degrees of freedom, speeding significantly the optimization process and blocking in some cases the convergence toward the real best network configuration.
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Acemoglu, Daron, and Pascual Restrepo. "The wrong kind of AI? Artificial intelligence and the future of labour demand." Cambridge Journal of Regions, Economy and Society 13, no. 1 (December 18, 2019): 25–35. http://dx.doi.org/10.1093/cjres/rsz022.
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Abstract Artificial intelligence (AI) is set to influence every aspect of our lives, not least the way production is organised. AI, as a technology platform, can automate tasks previously performed by labour or create new tasks and activities in which humans can be productively employed. Recent technological change has been biased towards automation, with insufficient focus on creating new tasks where labour can be productively employed. The consequences of this choice have been stagnating labour demand, declining labour share in national income, rising inequality and lowering productivity growth. The current tendency is to develop AI in the direction of further automation, but this might mean missing out on the promise of the ‘right’ kind of AI, with better economic and social outcomes.
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Aravind, J. "Emotional Intelligence and Job Satisfaction among Bank Managers with Special Reference to Malappuram District, Kerala." Asian Review of Social Sciences 8, S1 (February 5, 2019): 26–28. http://dx.doi.org/10.51983/arss-2019.8.s1.1499.
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Emotions play a vital role in ordering human experiences. Emotional Intelligence is the capacity to recognize our own feelings and those of others for motivating ourselves and for managing emotions well in ourselves and in our relationship. Emotional Intelligence focuses on the softer skills of building and maintains human relationships. This aspect of life assumes a lot of importance since a person is not detached from the human element, be it work place, the home front or the social circle, human interactions are inevitable and our success depends to a large extent on what we make of these interactions and relationships. Job Satisfaction is the combination of psychological, physiological and environmental circumstances that cause a person truthfully to say I am satisfied with my job. The study is intended to analyze Emotional Intelligence of bank managers and their Satisfaction towards their job. It also helps to identify and analyze the Dimensions of Emotional Intelligence and various factors which influence Emotional Intelligence and Job Satisfaction.
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Arsang-Jang, Shahram, Ashraf Khoramirad, Davoud Pourmarzi, and Marziyeh Raisi. "Relationship Between Spiritual Intelligence and Ethical Decision Making in Iranian Nurses." Journal of Humanistic Psychology 60, no. 3 (April 21, 2017): 330–41. http://dx.doi.org/10.1177/0022167817704319.
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Background: Nurses, on a daily basis, face ethical dilemmas that arise from situations involving conflicting values or beliefs. Overall, ethical decision making of nurses seems to be a challenging aspect of their duties. This study has examined the relationship between spiritual intelligence and ethical decision making in nurses working in hospitals in Iran. Proportional stratified sampling was used in this study. Data were collected from 376 nurses who completed the Spiritual Intelligence Self-Report Inventory (SISRI) and Nursing Dilemma Test. Statistical analyses were done using descriptive statistics and Pearson correlations. Findings: The mean spiritual intelligence score was 49.5 ± 14.6, and mean ± SD of the Nursing Principled Thinking was 52.8 ± 12.1 and Practical Consideration was 28.16 ± 7.6. The mean score in the postconventional level was higher than the two other levels. Significant negative correlations exist between the preconventional component of the Nursing Dilemma Test and Personal Meaning Production and the Critical Existential Thinking components of the SISRI ( p < .05). There were significant positive correlations between the postconventional (Nursing Principled) and Critical Existential Thinking, Personal Meaning Production, and total score of the SISRI. Conclusion: Hence, we have concluded that spiritual intelligence plays a positive role in the ethical decision making of nurses.
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Apolloni, Bruno, Luca Marconi, Francesco Epifania, Marco Mesiti, Stefano Valtolina, Serena Di Gaetano, Alberto Schiaffino, and Roberto Pellegrini. "Social Appliances for Sustainable Smart Homes." Journal of Business and Economics 10, no. 4 (April 20, 2019): 287–301. http://dx.doi.org/10.15341/jbe(2155-7950)/04.10.2019/003.
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We discuss a Cloud-based Collective Intelligence model and its in-progress implementation to direct users toward an optimal usage of their home appliances as a way of getting both personal advantage and an overall reduction of pollution and energy consumption. In this model sustainability is considered with respect to two types of resources: natural ones, to be mostly preserved, as indicated above, and brain resources, in terms of intention and knowledge, to be convoyed to a common target. Having the first aspect for a given, in this paper we focus on the secondby examining three distinct factors: user experience, knowledge achievement and business model. Our service paradigm is rooted on a Social Networks of Facts that requires experts’ know, like that owned by the appliance manufacturer, but exploits it in an autonomous way so as to comply with the specific intentions of the individual users. While cloud architectural and communication aspects are solved in a standard, though advanced, way, the interplay between user and expertsisconsidered variously within a range of business models. As the success of these models is related to the network population, here we discuss some preliminary simulations based on an effectively implemented infrastructure and on the extrapolation of early collected data.
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Damayanti, Putri, and Haryanto Haryanto. "Kecerdasan Emosional dan Kualitas Hubungan Persahabatan." Gadjah Mada Journal of Psychology (GamaJoP) 3, no. 2 (February 7, 2019): 86. http://dx.doi.org/10.22146/gamajop.43440.
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This study aimed to determine whether there are any correlation between emotional intelligence and the quality of friendship relations in adolescence. The initial presumption put forward in this study is there is a positive correlation between emotional intelligence and the quality of friendship relations in adolescence. This study tooks 162 high school students aged 15-17 years. Two scales used in this study are Emotional Intelligence Scale and Friendship Relations Quality. Data analysis method used in this study is Pearson product moment correlation analysis using computer program SPSS. The result indicate r = 0,532 and p = 0.000 or p < 0.01. This result shows that the initial presumption of this study is accepted, which means there is a positive correlation between emotional intelligence and the quality of friendship relations in adolescence with social skills as the most influential aspect to the quality of friendship relations.
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Makrufi, Anisa Dwi, and Muhammad Risydan Arum Bagas Prihatno. "The Multiple Intelligences Dimension In Indonesia`s Religious Education." Al-Hayat: Journal of Islamic Education 4, no. 2 (August 24, 2020): 138. http://dx.doi.org/10.35723/ajie.v4i2.107.
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The implementation of the 2013 curriculum as a reference in the education process in Indonesia also impacts on the learning model of religious education. The current education curriculum accommodates students' multiple intelligences. This paper aims to uncover the dimensions and implementation of Islamic Religious Education (PAI) curriculum based on multiple intelligences at the Elementary School level. This study uses a qualitative approach to the type of library research. The results showed that the dimensions of multiple intelligences in the 2013 PAI curriculum at Elementary School level can be seen through the classification of nine intelligences (according to Howard Gadner) in each section of core competence. Spiritual competence contains existential intelligence. Social competence is related to interpersonal and intrapersonal intelligence. In the aspect of knowledge includes logical-mathematical intelligence, linguistic intelligence, musical intelligence. On the other hand, competency skills contain visual-spatial intelligence, kinesthetic intelligence, and naturalist intelligence. Implementation of the concept of multiple intelligences in PAI 2013 curriculum learning can be done by recognizing students' multiple intelligences; preparing a draft of learning; develop learning models, and determine the multiple intelligence-based assessment models in the 2013 PAI curriculum at Elementary School level.
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Neryan, Sofiia. "RHETORICAL STRATEGIES OF ARGUMENTATION IN COMMUNICATION IN SOCIAL NETWORKS." Odessa National University Herald. Series: Philology 25, no. 2(22) (December 16, 2020): 64–73. http://dx.doi.org/10.18524/2307-8332.2020.2(22).235180.
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The article is devoted to the analysis of the discourse of social networks in the linguopragmatic aspect: the types of communicative strategies that are rhetorical in nature and used to persuade, argue in the posts of participants in network communication. It is proved that rhetoric is a defining feature of network discourse in the argumentativeaspect. It is proposed to divide rhetorical strategies of argumentation into strategies of intellectualization and self-presentation, which are ambivalent, so they are used in cooperative and conflict interaction. The strategy of intellectualization involves demonstrating the intelligence of the speaker – the level of education, awareness, literacy and the use of relevant arguments in the discussion. The main tactic of its implementation is a call to authority, which is one of the unconvincing arguments in the discussion. The strategy of self-presentation actualizes the factor of the speaker as a person whose statements are perceived without additional argumentation preciselybecause of respect for the individual, and is focused on a positive assessment of the personality and activities of the speaker.
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Theresia, Maria, and Esti Hayu Purnamaningsih. "Pelatihan “Remaja Bijak” terhadap Kecenderungan Perilaku Prososial Remaja." Gadjah Mada Journal of Professional Psychology (GamaJPP) 5, no. 1 (May 5, 2019): 52. http://dx.doi.org/10.22146/gamajpp.48587.
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Behavioral problems in adolescents at school become a phenomenon that is increasingly seen nowadays. Prosocial behavior is important for adolescents to carry out their social functions well. One important aspect that influences the tendency of prosocial behavior is emotion. The study’s objective was assessing the role of "Remaja Bijak" in improving adolescent emotional intelligence. An increase in adolescent emotional intelligence was expected to influence the increasing tendency of adolescent prosocial behavior. Training was given to adolescents aged 16-17 years. The results showed that there was no effect on "Remaja Bijak" training on the tendency of adolescent prosocial behavior. Improvements to the contents of the module can be considered in future studies
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Sharov, Sergiy. "Analysis of foreign studies of social competence of teenagers." Scientific Visnyk V.O. Sukhomlynskyi Mykolaiv National University. Pedagogical Sciences 65, no. 2 (2019): 353–57. http://dx.doi.org/10.33310/2518-7813-2019-65-2-353-357.
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Modern conditions of life and the interaction of the individual with the environment necessitated the development of social competence in the younger generation. It is emphasized that social competence is considered an important component of the process of socialization of young people, allows a person to adapt to various external and internal situations. It is noted that the first theories of social competence were introduced three decades ago, which, under modern conditions, underwent a certain transformation. The article analyzes the research of foreign scientists from the USA, UK, Spain, Holland on the assessment and formation of social competence in adolescents. It was revealed that a similar comprehensive analysis was carried out in 2011 by a group of scientists led by N. Humphrey. It was revealed that research of foreign scientists was carried out in the following areas: general issues of social competence; social competence of children of preschool and school age, social competence of students and adults in the aspect of professional growth; social competence in terms of medicine, psychology. The analysis of scientific works showed that in the field of research of foreign scientists lies the relationship between: student success, academic and social skills; intelligence, social intelligence and social competence; social competence, academic performance and behavior. It has been found that academic performance is often used as one of the criteria for assessing social competence. Foreign researchers associate the development of social competence with a positive influence on behavior, academic performance, personal success. The effectiveness of the formation of social competence depends on a positive attitude to the result, the use of active learning methods, productive discussions between peers, the use of joint group work in the classroom.
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Blair, Clancy. "How similar are fluid cognition and general intelligence? A developmental neuroscience perspective on fluid cognition as an aspect of human cognitive ability." Behavioral and Brain Sciences 29, no. 2 (April 2006): 109–25. http://dx.doi.org/10.1017/s0140525x06009034.
Full textAbstract:
This target article considers the relation of fluid cognitive functioning to general intelligence. A neurobiological model differentiating working memory/executive function cognitive processes of the prefrontal cortex from aspects of psychometrically defined general intelligence is presented. Work examining the rise in mean intelligence-test performance between normative cohorts, the neuropsychology and neuroscience of cognitive function in typically and atypically developing human populations, and stress, brain development, and corticolimbic connectivity in human and nonhuman animal models is reviewed and found to provide evidence of mechanisms through which early experience affects the development of an aspect of cognition closely related to, but distinct from, general intelligence. Particular emphasis is placed on the role of emotion in fluid cognition and on research indicating fluid cognitive deficits associated with early hippocampal pathology and with dysregulation of the hypothalamic-pituitary-adrenal axis stress-response system. Findings are seen to be consistent with the idea of an independent fluid cognitive construct and to assist with the interpretation of findings from the study of early compensatory education for children facing psychosocial adversity and from behavior genetic research on intelligence. It is concluded that ongoing development of neurobiologically grounded measures of fluid cognitive skills appropriate for young children will play a key role in understanding early mental development and the adaptive success to which it is related, particularly for young children facing social and economic disadvantage. Specifically, in the evaluation of the efficacy of compensatory education efforts such as Head Start and the readiness for school of children from diverse backgrounds, it is important to distinguish fluid cognition from psychometrically defined general intelligence.