The Comparison of Think Talk Write and Think Pair Share Model with Realistic Mathematics Education Approach Viewed from Mathematical-Logical Intelligence

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Himmatul Afthina

2017-12-01

Full Text Available The aims of this research to determine the effect of Think Talk Write (TTW and Think Pair Share (TPS model with Realistic Mathematics Education (RME approach viewed from mathematical-logical intelligence. This research employed the quasi experimental research. The population of research was all students of the eight graders of junior high school in Karangamyar Regency in academic year 2016/2017. The result of this research shows that (1 TTW with RME approach gave better mathematics achievement than TPS with RME approach, (2 Students with high mathematical-logical intelligence can reach a better mathematics achievement than those with average and low, whereas students with average mathematical-logical intelligence can reach a better achievement than those with low one, (3 In TTW model with RME approach, students with high mathematical-logical intelligence can reach a better mathematics achievement than those with average and low, whereas students with average and low mathematical-logical intelligence gave same mathematics achievement, and  in TPS model with RME approach students with high mathematical-logical intelligence can reach a better mathematics achievement than those with average and low, whereas students with average mathematical-logical intelligence can reach a better achievement than those with low one (4 In each category of  mathematical-logical intelligence, TTW with RME approach and TPS with RME approach gave same mathematics achievement.

Taking Business Intelligence to Business Education Curriculum: Graduate Students’ Concerns

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Philip Kissi

2017-06-01

Full Text Available Business intelligence systems are widely employed in industries. However, students concerns about Business Intelligence course are largely missed in the business education curriculum. To take a proper decision on Business intelligence integration in business education, it is important to understand students’ concerns. This study employed a survey questionnaire to investigate 142 graduate students concerns about integrating business intelligence into business education curriculum. The survey questionnaire was adopted from previous studies to measure students’ concerns on a Business Intelligence job opportunity, interest and relevance in the Business intelligence education. The survey items have a reliability scales of Cronbach’s alpha (α = 0.818, factor loading > 0.5, and Average Variance Extracted (AVE ≥ 0.5, and Composite Reliability (CR ≥ 0.6. Descriptive statistics and Independent sample t-test and Analysis of Variance (ANOVA test were performed on the survey data. Students revealed that Business intelligence knowledge is relevant (mean = 4.29, SD = 0.710, has several job opportunities (mean = 4.16, SD = 0.675, and should be integrated into business education curriculum (mean = 3.95.08, SD = 0.79. In addition, there was no statistically significant difference (t (140 = –0.027, p > 0.05 between the concerns of students with Business Intelligence lecture experience and those without. Further, perceived importance and job opportunity significantly, F = 24.601 and p = .000(< .05 relates to the Business intelligence integration in Business Education. The findings draw implications for university management and business institutions in updating curriculum so as to equip business students with the essential Business Intelligence knowledge and skills for the betterment of the business organizations.

Education for All: Gardner's Multiple Intelligences Theory

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Gisela Emst-Slavit

2001-12-01

Full Text Available In the last years the Theory of the Multiple Intelligences developed by Howard Gardner has had a tremendous impact in elementary and secondary classrooms in the United States. Gardner(1983 defines intelligence as the ability to solve a problem or fashion a product that is valued in one or more cultural settings. His definition expands our understanding of "intelligence" beyond the familiar linguistic and Logical-mathematical intelligences, to include the spatial, musical,bodily-kinesthetic, naturalist. interpersonal, and intrapersonal intelligences. This new wayof conceptualizing human intelligence has profound implications for educators whose task needs to include the identification and nourishment of the different talents brought by al students.

Modelling intelligent behavior

Science.gov (United States)

Green, H. S.; Triffet, T.

1993-01-01

An introductory discussion of the related concepts of intelligence and consciousness suggests criteria to be met in the modeling of intelligence and the development of intelligent materials. Methods for the modeling of actual structure and activity of the animal cortex have been found, based on present knowledge of the ionic and cellular constitution of the nervous system. These have led to the development of a realistic neural network model, which has been used to study the formation of memory and the process of learning. An account is given of experiments with simple materials which exhibit almost all properties of biological synapses and suggest the possibility of a new type of computer architecture to implement an advanced type of artificial intelligence.

Modelling traffic flows with intelligent cars and intelligent roads

NARCIS (Netherlands)

van Arem, Bart; Tampere, Chris M.J.; Malone, Kerry

2003-01-01

This paper addresses the modeling of traffic flows with intelligent cars and intelligent roads. It will describe the modeling approach MIXIC and review the results for different ADA systems: Adaptive Cruise Control, a special lane for Intelligent Vehicles, cooperative following and external speed

Systems in Science: Modeling Using Three Artificial Intelligence Concepts.

Science.gov (United States)

Sunal, Cynthia Szymanski; Karr, Charles L.; Smith, Coralee; Sunal, Dennis W.

2003-01-01

Describes an interdisciplinary course focusing on modeling scientific systems. Investigates elementary education majors' applications of three artificial intelligence concepts used in modeling scientific systems before and after the course. Reveals a great increase in understanding of concepts presented but inconsistent application. (Author/KHR)

Virtual Reality and Multiple Intelligences: Potentials for Higher Education.

Science.gov (United States)

McLellan, Hilary

1994-01-01

Discussion of the use of virtual reality in higher education looks at how this emerging computer-based technology can promote learning that engages all seven forms of intelligence proposed in H. Gardner's theory of multiple intelligences. Technical and conceptual issues in implementation of virtual reality in education are also examined.…

Emotional intelligence as a crucial component to medical education.

Science.gov (United States)

Johnson, Debbi R

2015-12-06

The primary focus of this review was to discover what is already known about Emotional Intelligence (EI) and the role it plays within social relationships, as well as its importance in the fields of health care and health care education. This article analyzes the importance of EI in the field of health care and recommends various ways that this important skill can be built into medical programs. Information was gathered using various database searches including EBSCOHOST, Academic Search Premier and ERIC. The search was conducted in English language journals from the last ten years. Descriptors include: Emotional Intelligence, medical students and communication skills, graduate medical education, Emotional Intelligence and graduate medical education, Emotional Intelligence training programs, program evaluation and development. Results of the study show a direct correlation between medical education and emotional intelligence competencies, which makes the field of medical education an ideal one in which to integrate further EI training. The definition of EI as an ability-based skill allows for training in specific competencies that can be directly applied to a specialized field. When EI is conceptualized as an ability that can be taught, learned, and changed, it may be used to address the specific aspects of the clinician-patient relationship that are not working well. For this reason, teaching EI should be a priority in the field of medical education in order to better facilitate this relationship in the future.

The association of iron status with educational performance and intelligence among adolescents.

Science.gov (United States)

Dissanayake, D S; Kumarasiri, P V R; Nugegoda, D B; Dissanayake, D M

2009-09-01

The aim was to identify the association of iron status with educational performance and intelligence of adolescents. This was a cross sectional comparative study among adolescents aged 13-15 years. Each iron deficient student was matched with an iron sufficient student from the same school, class and sex. Iron status was based on haemoglobin and serum ferritin levels. The marks for mathematics, science, Sinhala language and social science were considered to assess educational performance. Intelligence was measured by Raven's Standard progressive matrices. All the possible confounders and effect modifiers were considered. Home visits to a sub-sample checked the quality of data. The final analysis included 188 students (94 matched pairs). Neither educational performance nor intelligence showed significant associations with the iron status. The severity of the iron deficiency did not relate to these cognitive variables either. Twenty-three and 8 co-variables showed statistically significant associations with educational performance and intelligence respectively. Following a multiple regression analysis intelligence, the enthusiasm of the student towards learning, occupational ambition, household possession, problems at home and private tuition for mathematics were key factors predicting educational performance. Stunting and educational level of the mother were important factors influencing intelligence. Iron status does not play a major role in educational performance and intelligence of school going adolescents. Several factors affect educational performance and intelligence. This study highlights the difficulty in extrapolating the findings of similar studies to different ecological settings.

The IQ Argument. Race, Intelligence and Education.

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Eysenck, Hans J.

The controversy over the causes of intelligence--genetic or environmental--is reviewed. More specifically, the subject of the consistently lower intelligence scores for blacks is analyzed. Much attention is devoted to Jensen and his monograph published in the "Harvard Educational Review," entitled "How much can we boost IQ and scholastic…

Artificial Intelligence in Education.

Science.gov (United States)

Ruyle, Kim E.

Expert systems have made remarkable progress in areas where the knowledge of an expert can be codified and represented, and these systems have many potentially useful applications in education. Expert systems seem "intelligent" because they do not simply repeat a set of predetermined questions during a consultation session, but will have…

Emotional Intelligence and Transformational Leadership in Physical Education Managers

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Nooshin Esfahani,

2013-03-01

Full Text Available The aim of the present research was to investigate the relationship between emotional intelligence and transformational leadership in managers of physical education of Golestan province. The managers and deputies of Golestan physical education departments participated in this research and 47 subjects were selected as the statistical sample of this study. Emotional Intelligence questionnaire that assessed five micro scales of self-awareness, self-management, self-motivation, empathy and social skills, Multifactor Leadership questionnaire (MLQ by Bass and Avolio (1996 that measured five micro scales related to transformational leadership, three micro scales of transactional leadership, and laissez-faire leadership were used to collect the data. In order to analyze the data, ANOVA test, multiple regression test, and Pearson correlation coefficient were applied. The results showed a significant relationship between emotional intelligence and transformational leadership method. Also, the results of multiple regression test indicated that among transformational leadership micro scales, personal considerations was the strongest predictive variable in transformational leadership method and among emotional intelligence micro scales, empathy had a great influence on emotional intelligence of physical education managers.

The Potential Role of Artificial Intelligence Technology in Education.

Science.gov (United States)

Salem, Abdel-Badeeh M.

The field of Artificial Intelligence (AI) and Education has traditionally a technology-based focus, looking at the ways in which AI can be used in building intelligent educational software. In addition AI can also provide an excellent methodology for learning and reasoning from the human experiences. This paper presents the potential role of AI in…

Fostering Emotional Intelligence in Online Higher Education Courses

Science.gov (United States)

Majeski, Robin A.; Stover, Merrily; Valais, Teresa; Ronch, Judah

2017-01-01

Given the complex challenges organizations face and the importance of emotional intelligence to effective leadership, management education has begun to help adult learners develop emotional intelligence competencies. These include emotional self-control, conflict management, teamwork, cultural awareness, and inspirational leadership, among other…

EIIS: An Educational Information Intelligent Search Engine Supported by Semantic Services

Science.gov (United States)

Huang, Chang-Qin; Duan, Ru-Lin; Tang, Yong; Zhu, Zhi-Ting; Yan, Yong-Jian; Guo, Yu-Qing

2011-01-01

The semantic web brings a new opportunity for efficient information organization and search. To meet the special requirements of the educational field, this paper proposes an intelligent search engine enabled by educational semantic support service, where three kinds of searches are integrated into Educational Information Intelligent Search (EIIS)…

The U-shaped association of body mass index with mortality: Influence of the traits height, intelligence, and education.

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Jørgensen, Terese Sara Høj; Osler, Merete; Ängquist, Lars Henrik; Zimmermann, Esther; Christensen, Gunhild Tidemann; Sørensen, Thorkild I A

2016-10-01

The U-shaped association between body mass index (BMI) and mortality may depend on other traits with permanent health effects. Whether the association between BMI and mortality depends on levels of health-related traits known to be inversely associated with mortality throughout adult life such as height, intelligence, and education was investigated. The study was based on a cohort of young men with data on weight, height, intelligence test score, and education from the Danish Conscription Database. In total, 346,500 men born 1939 to 1959 were followed until December 2013. The association between BMI and mortality was analyzed using Cox-regression models including interactions between BMI and height, intelligence, and education, respectively. BMI and mortality showed the U-shaped association from the start of the follow-up period, and it persisted through the subsequent 56 years. As expected, the mortality was inversely associated with height, intelligence, and education, but the U shape of the association between BMI and mortality was unaffected by the levels of these traits except at higher BMI values, where the slopes were steeper for men with higher levels of height, intelligence, and education. High and low BMI was associated with higher mortality throughout life regardless of the levels of height, intelligence, and education. © 2016 The Obesity Society.

An Exploratory Study on Multiple Intelligences and Social Work Education

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Matto, Holly; Berry-Edwards, Janice; Hutchison, Elizabeth D.; Bryant, Shirley A.; Waldbillig, Amy

2006-01-01

This study surveyed social work educators about the importance of multiple intelligences for social work practice and social work education. The sample consisted of 91 faculty members who responded to an online survey that asked them to rate the importance of 7 intelligences (linguistic, logical-mathematical, musical, bodily-kinesthetic, spatial,…

Current Uses of Artificial Intelligence in Special Education. Abstract XI: Research & Resources on Special Education.

Science.gov (United States)

ERIC Clearinghouse on Handicapped and Gifted Children, Reston, VA.

Summarized are two reports of a federally funded project on the use of artificial intelligence in special education. The first report, "Artificial Intelligence Applications in Special Education: How Feasible?," by Alan Hofmeister and Joseph Ferrara, provides information on the development and evaluation of a series of prototype systems in special…

Artificial Intelligence: Applications in Education.

Science.gov (United States)

Thorkildsen, Ron J.; And Others

1986-01-01

Artificial intelligence techniques are used in computer programs to search out rapidly and retrieve information from very large databases. Programing advances have also led to the development of systems that provide expert consultation (expert systems). These systems, as applied to education, are the primary emphasis of this article. (LMO)

The Art of Deception and the Role of Intelligence Education

DEFF Research Database (Denmark)

Mitchell, Dr. William L.

2016-01-01

Is deception an art? And if so, what role might it have in military intelligence education? To offer some answers to the these questions, the paper draws upon the discovery phase of efforts to synchronize deception theory, research, practice, in order to develop a post-graduate military deception...... course for a military intelligence studies. In doing so, it reflects upon the recognition afforded from discovery to creativity, innovation, science, doctrine, and ethics, within the studies of deception and the construct of military deception itself. It follows with bridge building between theory...... and practice through the adaptive use of Boyds Observe-Orient-Decide-Act (OODA) and a target centric intelligence approach to explain the dynamics concerning military intelligence in warfighting. These initial findings suggest that deception, as part of a post-graduate military intelligence education, not only...

Corporate Education in perspective of Organizational Intelligence

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Kelly Cristina Wilhelm de Toni

2016-12-01

Full Text Available Introduction: To meet the challenges of competitiveness and achieve the conditions for generation of innovation is necessary to ensure that the workforce remains highly qualified. In this context, corporate education is an alternative. Objective: To develop a method to analyze the relationship between process approaches Organizational Intelligence and Corporate Education. Methodology: Theoretical construction performed based on literature review.Construction a methodological approach linked to the problem of this research. Results: Identification of a set of common elements between the approaches: the"Capture" and "Sharing" of knowledge and experience, the "meaning" shared and "Culture" of individual and organizational learning. Conclusions: There is a real connection between the approaches of the study. The proposed method can be seen as a tool to explain and evaluate the process of education in the enterprise from the perspective of organizational intelligence

Multiple Intelligence Levels of Physical Education and Sports School Students

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Ekici, Summani

2011-01-01

The purpose of this research is to analyze the multiple intelligence levels of academies of physical education and sports students according to some demographic factors. To obtain data about multiple intelligence levels in the research, the multiple intelligence inventory, developed by Ozden (2003), was applied to a total of 1.199 students, of…

Predictors of effective leadership in industry - should engineering education focus on traditional intelligence, personality, or emotional intelligence?

Science.gov (United States)

Lappalainen, Pia

2015-03-01

Despite the changing global and industrial conditions requiring new approaches to leadership, management training as part of higher engineering education still remains understudied. The subsequent gap in engineering education calls for research on today's leader requirements and pedagogy supporting the inclusion of management competence in higher engineering education. Previous organisation and management studies have, on a general level, established the importance of managerial qualities for industrial performance, but the nature and make-up of these qualifications has not been adequately analysed. To fill the related research gap, the present work embarked on a quantitative empirical effort to identify predictors of successful leadership in engineering. In particular, this study investigated relationships between perceived leader performance and three dimensions of managerial capability: (1) mathematical-logical intelligence, (2) personality, and (3) socio-emotional intelligence. This work complemented previous research by resorting to both self-reports and other-reports: the results acquired from the managerial sample were compared to subordinate perceptions as measured through an emotive intelligence other-report and a general managerial competence multi-source appraisal. The sample comprised 80 superiors and 354 subordinates operating in seven organisations in engineering industries. The results from the quantitative measurements signalled the strongest correlation for socio-emotional intelligence and certain personality dimensions with successful leadership. Mathematical-logical intelligence demonstrated no correlation with subordinate perceptions of good leadership. These findings lay the foundation for the incorporation of socio-emotive skills into higher engineering education.

Intelligent and Adaptive Educational-Learning Systems Achievements and Trends

CERN Document Server

2013-01-01

The Smart Innovation, Systems and Technologies book series encompasses the topics of knowledge, intelligence, innovation and sustainability. The aim of the series is to make available a platform for the publication of books on all aspects of single and multi-disciplinary research on these themes in order to make the latest results available in a readily-accessible form.  This book is devoted to the “Intelligent and Adaptive Educational-Learning Systems”. It privileges works that highlight key achievements and outline trends to inspire future research.  After a rigorous revision process twenty manuscripts were accepted and organized into four parts as follows: ·     Modeling: The first part embraces five chapters oriented to: 1) shape the affective behavior; 2) depict the adaptive learning curriculum; 3) predict learning achievements; 4) mine learner models to outcome optimized and adaptive e-learning objects; 5) classify learning preferences of learners. ·     Content: The second part encompas...

Education or Personality Traits and Intelligence as Determinants of Political Knowledge?

DEFF Research Database (Denmark)

Hebbelstrup Rye Rasmussen, Stig

2016-01-01

Recently the causal influence of education on political knowledge has been questioned. Rather, pre-adult predispositions such as personality traits and intelligence are proposed as the real causal agents. This article investigates in two studies whether education retains its explanatory power...... on political knowledge when personality traits and intelligence are taken into account. One study draws on a draftee sample and has excellent measures of both personality traits and intelligence; the other study draws on a representative sample and has excellent measures of personality traits. Openness...

Emotional Intelligence (EI): A Therapy for Higher Education Students

Science.gov (United States)

Machera, Robert P.; Machera, Precious C.

2017-01-01

This study investigates the need to design and develop emotional intelligence curriculum for students in higher education. Emotional intelligence curriculum may be used as a therapy that provides skills to manage high emotions faced by generation "Y", on a day-to-day basis. Generation "Y" is emotionally challenged with: drug…

Research on multiple intelligences theory and its enlightenment to higher education

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Haijun Wang

2017-06-01

Full Text Available The theory of multiple intelligences, which has been successfully used in the education and teaching reform in the west, has been brought forward for many years. Many researches have been done and some achievements are attained in our country at the end of the twentieth century, but it is different from theoretical discussion when it was in practical use. The current higher education system plays a great constraining role, which represents control phenomenon among the talent training and the evaluation system of teachers. It is extreme necessary to explore the feasible education reformation route, regarding the multiple intelligence theory as the basic guiding ideology. Confirming the training objectives of colleges and universities, providing students with practice opportunities, and focusing on the development of individual superior intelligence will be used as a reference for the reform and development of higher education.

Maternal education and intelligence predict offspring diet and nutritional status.

Science.gov (United States)

Wachs, Theodore D; Creed-Kanashiro, Hilary; Cueto, Santiago; Jacoby, Enrique

2005-09-01

The traditional assumption that children's nutritional deficiencies are essentially due either to overall food scarcity or to a lack of family resources to purchase available food has been increasingly questioned. Parental characteristics represent 1 type of noneconomic factor that may be related to variability in children's diets and nutritional status. We report evidence on the relation of 2 parental characteristics, maternal education level and maternal intelligence, to infant and toddler diet and nutritional status. Our sample consisted of 241 low-income Peruvian mothers and their infants assessed from 3 to 12 mo, with a further follow-up of 104 of these infants at 18 mo of age. Using a nonexperimental design, we related measures of level of maternal education, maternal intelligence, and family socioeconomic status to infant anthropometry, duration of exclusive breast-feeding, adequacy of dietary intake, and iron status. Results indicated unique positive relations between maternal education level and the extent of exclusive breast-feeding. Significant relations between maternal education and offspring length were partially mediated by maternal height. There also were unique positive relations between maternal intelligence and quality of offspring diet and hemoglobin level. All findings remained significant even after controlling for family socioeconomic characteristics. This pattern of results illustrates the importance of parental characteristics in structuring the adequacy of offspring diet. Maternal education and intelligence appear to have unique influences upon different aspects of the diet and nutritional status of offspring.

Multiple intelligences and outcomes based education

Directory of Open Access Journals (Sweden)

Elaine Ridge

2008-08-01

Full Text Available This article explores the reasons that make it advantageous to develop learning programmes which draw on the theory of multiple intelligences (MI. A unitary view of intelligence privileges analytic/linguisticallygifted learners. The theory of MI, on the other hand, takes account of the diversity of learners and challenges educators to provide opportunities for them to use their varied intelligences.The outline of each of the eight intelligences demonstratesthe many ways in which learners can demonstrate their ability to excel. Application of these insights can complement the kind of transformatoryeducation envisaged in the Department of Education policy documents. MI translated into school practice has taken a variety of forms: project-basedapproaches, interdisciplinarycurriculums, entry points to lesson plans and complex assessments are only some of these. Ordinary classroom teachers can create diverse opportunities for all learners to enjoy a high measure of success.Hierdie artikel ondersoek die redes waarom dit voordelig is om leerprogramme te ontwikkel wal gebaseer is op idees uit die leorie van meervoudige intelligensies (MI.'n Unitêre siening van intelligensiebevoordeel analities- en taalbegaafde-leerders.Die MI-teorie, daarenleen neem die ongelyksoortigheidvan die leerders in ag en daag opvoeders uit om geleenthede te skep vir die leerlinge om verskeie van hulle intelligensies te gebruik. Die omskrywing van elk van die agt soorte intelligensies demonstreer die talryke-maniere waarop leerders hulle vermoë om uit te blink kan bewys.Die toepassing van hierdie insigte kan bydra tot die transformerendeaard van die opvoeding wat met die Departmentvan Opvoedkunde se beleidsdokumentebeoog word.MI toegepas in skoolpraktykneem verskillendevorms aan: projek-gebaseerdebenaderinge;interdissiplinêrekurrikulums; loelreepunte vir lesplanne en veelsydige assessering, om maar 'n paar te noem.Gewone klas-onderwysers kan 'n verskeidenheid geleenthede skep

From Interactive Open Learner Modelling to Intelligent Mentoring: STyLE-OLM and Beyond

Science.gov (United States)

Dimitrova, Vania; Brna, Paul

2016-01-01

STyLE-OLM (Dimitrova 2003 "International Journal of Artificial Intelligence in Education," 13, 35-78) presented a framework for interactive open learner modelling which entails the development of the means by which learners can "inspect," "discuss" and "alter" the learner model that has been jointly…

Artificial Intelligence and Educational Technology: A Natural Synergy. Extended Abstract.

Science.gov (United States)

McCalla, Gordon I.

Educational technology and artificial intelligence (AI) are natural partners in the development of environments to support human learning. Designing systems with the characteristics of a rich learning environment is the long term goal of research in intelligent tutoring systems (ITS). Building these characteristics into a system is extremely…

Application of Computational Intelligence to Improve Education in Smart Cities.

Science.gov (United States)

Gomede, Everton; Gaffo, Fernando Henrique; Briganó, Gabriel Ulian; de Barros, Rodolfo Miranda; Mendes, Leonardo de Souza

2018-01-18

According to UNESCO, education is a fundamental human right and every nation's citizens should be granted universal access with equal quality to it. Because this goal is yet to be achieved in most countries, in particular in the developing and underdeveloped countries, it is extremely important to find more effective ways to improve education. This paper presents a model based on the application of computational intelligence (data mining and data science) that leads to the development of the student's knowledge profile and that can help educators in their decision making for best orienting their students. This model also tries to establish key performance indicators to monitor objectives' achievement within individual strategic planning assembled for each student. The model uses random forest for classification and prediction, graph description for data structure visualization and recommendation systems to present relevant information to stakeholders. The results presented were built based on the real dataset obtained from a Brazilian private k-9 (elementary school). The obtained results include correlations among key data, a model to predict student performance and recommendations that were generated for the stakeholders.

Student Modeling in an Intelligent Tutoring System

Science.gov (United States)

1996-12-17

Multi-Agent Architecture." Advances in Artificial Intelligence : Proceedings of the 12 th Brazilian Symposium on Aritificial Intelligence , edited by...STUDENT MODELING IN AN INTELLIGENT TUTORING SYSTEM THESIS Jeremy E. Thompson Captain, USAF AFIT/GCS/ENG/96D-27 DIMTVMON* fCKAJWINT A Appr"v*d t=i...Air Force Base, Ohio AFIT/GCS/ENG/96D-27 STUDENT MODELING IN AN INTELLIGENT TUTORING SYSTEM THESIS Jeremy E. Thompson Captain, USAF AFIT/GCS/ENG/96D

Blue Sky Ideas in Artificial Intelligence Education from the EAAI 2017 New and Future AI Educator Program

OpenAIRE

Eaton, Eric; Koenig, Sven; Schulz, Claudia; Maurelli, Francesco; Lee, John; Eckroth, Joshua; Crowley, Mark; Freedman, Richard G.; Cardona-Rivera, Rogelio E.; Machado, Tiago; Williams, Tom

2017-01-01

The 7th Symposium on Educational Advances in Artificial Intelligence (EAAI'17, co-chaired by Sven Koenig and Eric Eaton) launched the EAAI New and Future AI Educator Program to support the training of early-career university faculty, secondary school faculty, and future educators (PhD candidates or postdocs who intend a career in academia). As part of the program, awardees were asked to address one of the following "blue sky" questions: * How could/should Artificial Intelligence (AI) courses ...

A measurement model of multiple intelligence profiles of management graduates

Science.gov (United States)

Krishnan, Heamalatha; Awang, Siti Rahmah

2017-05-01

In this study, developing a fit measurement model and identifying the best fitting items to represent Howard Gardner's nine intelligences namely, musical intelligence, bodily-kinaesthetic intelligence, mathematical/logical intelligence, visual/spatial intelligence, verbal/linguistic intelligence, interpersonal intelligence, intrapersonal intelligence, naturalist intelligence and spiritual intelligence are the main interest in order to enhance the opportunities of the management graduates for employability. In order to develop a fit measurement model, Structural Equation Modeling (SEM) was applied. A psychometric test which is the Ability Test in Employment (ATIEm) was used as the instrument to measure the existence of nine types of intelligence of 137 University Teknikal Malaysia Melaka (UTeM) management graduates for job placement purposes. The initial measurement model contains nine unobserved variables and each unobserved variable is measured by ten observed variables. Finally, the modified measurement model deemed to improve the Normed chi-square (NC) = 1.331; Incremental Fit Index (IFI) = 0.940 and Root Mean Square of Approximation (RMSEA) = 0.049 was developed. The findings showed that the UTeM management graduates possessed all nine intelligences either high or low. Musical intelligence, mathematical/logical intelligence, naturalist intelligence and spiritual intelligence contributed highest loadings on certain items. However, most of the intelligences such as bodily kinaesthetic intelligence, visual/spatial intelligence, verbal/linguistic intelligence interpersonal intelligence and intrapersonal intelligence possessed by UTeM management graduates are just at the borderline.

Emotional Intelligence in Secondary Education Students in Multicultural Contexts

Science.gov (United States)

Pegalajar-Palomino, Ma. del Carmen; Colmenero-Ruiz, Ma. Jesus

2014-01-01

Introduction: The study analyzes the level of development in emotional intelligence of Secondary Education students. It also checks for statistically significant differences in educational level between Spanish and immigrant students, under the integration program "Intercultural Open Classrooms". Method: 94 students of Secondary…

The role of spiritual intelligence in employees’ withdrawal behaviors in physical education organization

Directory of Open Access Journals (Sweden)

Davoud Noroozi

2015-03-01

Full Text Available Spiritual intelligence is the mind’s capacity to handle substantial and spiritual aspects of life. According to previous studies, spiritual intelligence can be effective in reducing the withdrawal behavior of employees. This study investigated the effect of spiritual intelligence on employees’ withdrawal behavior in Ardabil Physical Education organization. The statistical population of this study included all the employees of Physical Education organization of Ardabil (N=60. Descriptive Statistics, Pearson Correlation, and Linear Regression Analyses were used to assess the association between spiritual intelligence and withdrawal behaviors. The results of the study revealed that spiritual intelligence had positive and significant effect on reducing employees’ withdrawal behavior. The findings supported that spiritual intelligence training as a new psychological and religious construction may reduce psychological and physical withdrawal behaviors and improve the employees’ perception of themselves.

Intelligence Unleashed: An argument for AI in Education

OpenAIRE

Luckin, R.; Holmes, W.

2016-01-01

This paper on artificial intelligence in education (AIEd) has two aims. The first: to explain to a non-specialist, interested, reader what AIEd is: its goals, how it is built, and how it works. The second: to set out the argument for what AIEd can offer teaching and learning, both now and in the future, with an eye towards improving learning and life outcomes for all. Computer systems that are artificially intelligent interact with the world using capabilities (such as speech recognition) and...

Street Smarts and a Scalpel: Emotional Intelligence in Surgical Education.

Science.gov (United States)

Erdman, Mary Kate; Bonaroti, Alisha; Provenzano, Gina; Appelbaum, Rachel; Browne, Marybeth

To evaluate trends of emotional intelligence (EI) in surgical education and to compare the incorporation of EI in surgical education to other fields of graduate medical education. A MEDLINE search was performed for publications containing both "surgery" and "emotional intelligence" with at least one term present in the title. Articles were included if the authors deemed EI in surgical education to be a significant focus. A separate series of MEDLINE searches were performed with the phrase "emotional intelligence" in any field and either "surg*," "internal medicine," "pediatric," "neurology," "obstetric," "gynecology," "OBGYN," "emergency," or "psychiat*" in the title. Articles were included if they discussed resident education as the primary subject. Next, a qualitative analysis of the articles was performed, with important themes from each article noted. Lehigh Valley Health Network in Allentown, PA. Eight articles addressed surgical resident education and satisfied inclusion criteria with 0, 1, and 7 articles published between 2001 and 2005, 2005 and 2010, and 2010 and 2015, respectively. The comparative data for articles on EI and resident education showed the following : 8 in surgery, 2 in internal medicine, 2 in pediatrics, 0 in neurology, 0 in OBGYN, 1 in emergency medicine, and 3 in psychiatry. Integration of EI principles is a growing trend within surgical education. A prominent theme is quantitative assessment of EI in residents and residency applicants. Further study is warranted on the integration process of EI in surgical education and its effect on patient outcomes and long-term job satisfaction. Copyright © 2017 Association of Program Directors in Surgery. Published by Elsevier Inc. All rights reserved.

The Study on the Effect of Educational Games for the Development of Students’ Logic-Mathematics of Multiple Intelligence

Science.gov (United States)

Li, Jing; Ma, Sujuan; Ma, Linqing

Firstly, in this article, we expound the theory of the educational games and multiple intelligence and analyze the relationship between them. Then, further, we elaborate educational games' effect on the development of students' multiple intelligence, taking logic-mathematics intelligence for example. Also, we discuss the strategies of using educational games to improve students' intelligence. In a word, we can use the computer games to develop the students' multi-intelligence.

THE FUZZY OVERLAY STUDENT MODEL IN AN INTELLIGENT TUTORING SYSTEM

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D. I. Popov

2015-01-01

Full Text Available The article is devoted to the development of the student model for use in an intelligent tutoring system (ITS designed for the evaluation of students’ competencies in different Higher Education Facilities. There are classification and examples of the various student models, the most suitable for the evaluation of competencies is selected and finalized. The dynamic overlay fuzzy student model builded on the domain model based on the concept of didactic units is described in this work. The formulas, chart and diagrams are provided.

Artificial Intelligence and Moral intelligence

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Laura Pana

2008-07-01

Full Text Available We discuss the thesis that the implementation of a moral code in the behaviour of artificial intelligent systems needs a specific form of human and artificial intelligence, not just an abstract intelligence. We present intelligence as a system with an internal structure and the structural levels of the moral system, as well as certain characteristics of artificial intelligent agents which can/must be treated as 1- individual entities (with a complex, specialized, autonomous or selfdetermined, even unpredictable conduct, 2- entities endowed with diverse or even multiple intelligence forms, like moral intelligence, 3- open and, even, free-conduct performing systems (with specific, flexible and heuristic mechanisms and procedures of decision, 4 – systems which are open to education, not just to instruction, 5- entities with “lifegraphy”, not just “stategraphy”, 6- equipped not just with automatisms but with beliefs (cognitive and affective complexes, 7- capable even of reflection (“moral life” is a form of spiritual, not just of conscious activity, 8 – elements/members of some real (corporal or virtual community, 9 – cultural beings: free conduct gives cultural value to the action of a ”natural” or artificial being. Implementation of such characteristics does not necessarily suppose efforts to design, construct and educate machines like human beings. The human moral code is irremediably imperfect: it is a morality of preference, of accountability (not of responsibility and a morality of non-liberty, which cannot be remedied by the invention of ethical systems, by the circulation of ideal values and by ethical (even computing education. But such an imperfect morality needs perfect instruments for its implementation: applications of special logic fields; efficient psychological (theoretical and technical attainments to endow the machine not just with intelligence, but with conscience and even spirit; comprehensive technical

IMPLEMENTATION OF BUSINESS INTELLIGENCE ON BANKING, RETAIL, AND EDUCATIONAL INDUSTRY

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Arta Moro Sundjaja

2013-10-01

Full Text Available Information technology is useful to automate business process involving considerable data transaction in the daily basis. Currently, companies have to tackle large data transaction which is difficult to be handled manually. It is very difficult for a person to manually extract useful information from a large data set despite of the fact that the information may be useful in decision-making process. This article studied and explored the implementation of business intelligence in banking, retail, and educational industries. The article begins with the exposition of business intelligence role in the industries; is followed by an illustration of business intelligence in the industries and finalized with the implication of business intelligence implementation.

Self-esteem of physical education students: sex differences and relationships with intelligence

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Monika Guszkowska

2015-11-01

Full Text Available Background The aim of the study was to determine the level of self-esteem of physical education and sport students, its diversification according to sex, as well as relationships between self-esteem and the following variables: fluid intelligence, emotional intelligence, social intelligence, and academic performance. Participants and procedure A total of 385 first-year undergraduates aged 18-26 years studying physical education and sport at the University of Physical Education in Warsaw participated in the study. The following research tools were used: the Multidimensional Self-Esteem Inventory, Raven’s Standard Progressive Matrices Plus, the Emotional Intelligence Questionnaire, and the Social Competence Questionnaire. The average of marks obtained for all courses taken during the first year was adopted as an indicator of academic performance. Results The obtained results attest to the high self-esteem of the first-year students. Male students gave higher ratings for their body appearance and body functioning, personal power and likeability, self-control, and competence. They also indicated a higher level of global self-esteem and identity integration. The highest number of significant positive correlations connected self-esteem and emotional intelligence; slightly fewer correlations existed between self-esteem and social competence. The lowest number of significant relationships was established for fluid intelligence. Only one positive predictor of average evaluations was established in male students (self-control and female students (competence. Conclusions The profile of self-esteem of physical education students demonstrates their high self-esteem, especially in areas related to their field of study. Some variations in the components of self-esteem of male and female students reflect the differences between sexes typical for the Polish adult population.

Application of Computational Intelligence to Improve Education in Smart Cities

Science.gov (United States)

Gaffo, Fernando Henrique; de Barros, Rodolfo Miranda; Mendes, Leonardo de Souza

2018-01-01

According to UNESCO, education is a fundamental human right and every nation’s citizens should be granted universal access with equal quality to it. Because this goal is yet to be achieved in most countries, in particular in the developing and underdeveloped countries, it is extremely important to find more effective ways to improve education. This paper presents a model based on the application of computational intelligence (data mining and data science) that leads to the development of the student’s knowledge profile and that can help educators in their decision making for best orienting their students. This model also tries to establish key performance indicators to monitor objectives’ achievement within individual strategic planning assembled for each student. The model uses random forest for classification and prediction, graph description for data structure visualization and recommendation systems to present relevant information to stakeholders. The results presented were built based on the real dataset obtained from a Brazilian private k-9 (elementary school). The obtained results include correlations among key data, a model to predict student performance and recommendations that were generated for the stakeholders. PMID:29346288

Application of Computational Intelligence to Improve Education in Smart Cities

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Everton Gomede

2018-01-01

Full Text Available According to UNESCO, education is a fundamental human right and every nation’s citizens should be granted universal access with equal quality to it. Because this goal is yet to be achieved in most countries, in particular in the developing and underdeveloped countries, it is extremely important to find more effective ways to improve education. This paper presents a model based on the application of computational intelligence (data mining and data science that leads to the development of the student’s knowledge profile and that can help educators in their decision making for best orienting their students. This model also tries to establish key performance indicators to monitor objectives’ achievement within individual strategic planning assembled for each student. The model uses random forest for classification and prediction, graph description for data structure visualization and recommendation systems to present relevant information to stakeholders. The results presented were built based on the real dataset obtained from a Brazilian private k-9 (elementary school. The obtained results include correlations among key data, a model to predict student performance and recommendations that were generated for the stakeholders.

Intelligent structural optimization: Concept, Model and Methods

International Nuclear Information System (INIS)

Lu, Dagang; Wang, Guangyuan; Peng, Zhang

2002-01-01

Structural optimization has many characteristics of Soft Design, and so, it is necessary to apply the experience of human experts to solving the uncertain and multidisciplinary optimization problems in large-scale and complex engineering systems. With the development of artificial intelligence (AI) and computational intelligence (CI), the theory of structural optimization is now developing into the direction of intelligent optimization. In this paper, a concept of Intelligent Structural Optimization (ISO) is proposed. And then, a design process model of ISO is put forward in which each design sub-process model are discussed. Finally, the design methods of ISO are presented

Intelligence, Education, and Facets of Job Satisfaction.

Science.gov (United States)

Ganzach, Yoav

2003-01-01

Analysis of two sets of National Longitudinal Survey data found that intelligence had a strong negative effect on intrinsic satisfaction, little effect on pay satisfaction, and positive association with desired job complexity, not expected pay. Education had a strong negative effect on pay satisfaction, little effect on intrinsic satisfaction, and…

Evaluation of an intelligent open learning system for engineering education

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Maria Samarakou

2016-09-01

Full Text Available In computer-assisted education, the continuous monitoring and assessment of the learner is crucial for the delivery of personalized education to be effective. In this paper, we present a pilot application of the Student Diagnosis, Assistance, Evaluation System based on Artificial Intelligence (StuDiAsE, an open learning system for unattended student diagnosis, assistance and evaluation based on artificial intelligence. The system demonstrated in this paper has been designed with engineering students in mind and is capable of monitoring their comprehension, assessing their prior knowledge, building individual learner profiles, providing personalized assistance and, finally, evaluating a learner's performance both quantitatively and qualitatively by means of artificial intelligence techniques. The architecture and user interface of the system are being exhibited, the results and feedback received from a pilot application of the system within a theoretical engineering course are being demonstrated and the outcomes are being discussed.

Modeling intelligent adversaries for terrorism risk assessment: some necessary conditions for adversary models.

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Guikema, Seth

2012-07-01

Intelligent adversary modeling has become increasingly important for risk analysis, and a number of different approaches have been proposed for incorporating intelligent adversaries in risk analysis models. However, these approaches are based on a range of often-implicit assumptions about the desirable properties of intelligent adversary models. This "Perspective" paper aims to further risk analysis for situations involving intelligent adversaries by fostering a discussion of the desirable properties for these models. A set of four basic necessary conditions for intelligent adversary models is proposed and discussed. These are: (1) behavioral accuracy to the degree possible, (2) computational tractability to support decision making, (3) explicit consideration of uncertainty, and (4) ability to gain confidence in the model. It is hoped that these suggested necessary conditions foster discussion about the goals and assumptions underlying intelligent adversary modeling in risk analysis. © 2011 Society for Risk Analysis.

Computational Intelligence, Cyber Security and Computational Models

CERN Document Server

Anitha, R; Lekshmi, R; Kumar, M; Bonato, Anthony; Graña, Manuel

2014-01-01

This book contains cutting-edge research material presented by researchers, engineers, developers, and practitioners from academia and industry at the International Conference on Computational Intelligence, Cyber Security and Computational Models (ICC3) organized by PSG College of Technology, Coimbatore, India during December 19–21, 2013. The materials in the book include theory and applications for design, analysis, and modeling of computational intelligence and security. The book will be useful material for students, researchers, professionals, and academicians. It will help in understanding current research trends and findings and future scope of research in computational intelligence, cyber security, and computational models.

AN ARTIFICIAL INTELLIGENCE-BASED DISTANCE EDUCATION SYSTEM: Artimat

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Vasif NABIYEV

2013-04-01

Full Text Available The purpose of this study is to evaluate the artificial intelligence-based distance education system called as ARTIMAT, which has been prepared in order to improve mathematical problem solving skills of the students, in terms of conceptual proficiency and ease of use with the opinions of teachers and students. The implementation has been performed with 4 teachers and 59 students in 10th grade in an Anatolian High School in Trabzon. Many institutions and organizations in the world approach seriously to distance education besides traditional education. It is inevitable to use the distance education in teaching the problem solving skills in this different dimension of the education. In the studies in Turkey and abroad in the field of mathematics teaching, problem solving skills are generally stated not to be at the desired level and often expressed to have difficulty in teaching. For this reason, difficulties of the students in problem solving have initially been evaluated and the system has been prepared utilizing artificial intelligence algorithms according to the obtained results. In the evaluation of the findings obtained from the application, it has been concluded that the system is responsive to the needs of the students and is successful in general, but that conceptual changes should be made in order that students adapt to the system quickly.

Emotional intelligence is a second-stratum factor of intelligence: evidence from hierarchical and bifactor models.

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MacCann, Carolyn; Joseph, Dana L; Newman, Daniel A; Roberts, Richard D

2014-04-01

This article examines the status of emotional intelligence (EI) within the structure of human cognitive abilities. To evaluate whether EI is a 2nd-stratum factor of intelligence, data were fit to a series of structural models involving 3 indicators each for fluid intelligence, crystallized intelligence, quantitative reasoning, visual processing, and broad retrieval ability, as well as 2 indicators each for emotion perception, emotion understanding, and emotion management. Unidimensional, multidimensional, hierarchical, and bifactor solutions were estimated in a sample of 688 college and community college students. Results suggest adequate fit for 2 models: (a) an oblique 8-factor model (with 5 traditional cognitive ability factors and 3 EI factors) and (b) a hierarchical solution (with cognitive g at the highest level and EI representing a 2nd-stratum factor that loads onto g at λ = .80). The acceptable relative fit of the hierarchical model confirms the notion that EI is a group factor of cognitive ability, marking the expression of intelligence in the emotion domain. The discussion proposes a possible expansion of Cattell-Horn-Carroll theory to include EI as a 2nd-stratum factor of similar standing to factors such as fluid intelligence and visual processing.

Big Data and Intelligence: Applications, Human Capital, and Education

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Michael Landon-Murray

2016-06-01

Full Text Available The potential for big data to contribute to the US intelligence mission goes beyond bulk collection, social media and counterterrorism. Applications will speak to a range of issues of major concern to intelligence agencies, from military operations to climate change to cyber security. There are challenges too: procurement lags, data stovepiping, separating signal from noise, sources and methods, a range of normative issues, and central to managing these challenges, human capital. These potential applications and challenges are discussed and a closer look at what data scientists do in the Intelligence Community (IC is offered. Effectively filling the ranks of the IC’s data science workforce will depend on the provision of well-trained data scientists from the higher education system. Program offerings at America’s top fifty universities will thus be surveyed (just a few years ago there were reportedly no degrees in data science. One Master’s program that has melded data science with intelligence is examined as well as a university big data research center focused on security and intelligence. This discussion goes a long way to clarify the prospective uses of data science in intelligence while probing perhaps the key challenge to optimal application of big data in the IC.

Impact of emotional intelligence on teacher׳s performance in higher education institutions of Pakistan

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Muhammad Asrar-ul-Haq

2017-12-01

Full Text Available This research paper aims at investigating the impact of emotional intelligence on teacher׳s job performance in the education sector of Pakistan. Sample size consists of 166 teachers from universities in the area of central Punjab, Pakistan. Theories of emotional intelligence proposed by Salovey and Mayer (1989–1990 were used as the conceptual framework and its relationship with the job performance of teachers was examined. Reliability and validity of variables was tested through measurement model of PLS-SEM. The result indicated that emotional intelligence has a significant impact on the teacher׳s job performance. Key research finding revealed that emotional self-awareness, self-confidence, achievement, developing others and conflict management have a positive and significant relationship with the teacher׳s job performance. Keywords: Emotional intelligence, Performance, Teachers, Pakistan

Developing a market-sensitive intelligent transportation systems educational program

Science.gov (United States)

1997-01-01

Results of research undertaken to evaluate the educational needs of the emerging field of Intelligent Transportation Systems (ITSs) are presented, and whether course offerings in academic programs meet these needs is ascertained. A survey was conduct...

Determining Difficulty of Questions in Intelligent Tutoring Systems

Science.gov (United States)

Gunel, Korhan; Asliyan, Rifat

2009-01-01

The object of this study is to model the level of a question difficulty by a differential equation at a pre-specified domain knowledge, to be used in an educational support system. For this purpose, we have developed an intelligent tutoring system for mathematics education. Intelligent Tutoring Systems are computer systems designed for improvement…

JOHN DEWEY’S EDUCATIONAL THEORY AND EDUCATIONAL IMPLICATIONS OF HOWARD GARDNER’S MULTIPLE INTELLIGENCES THEORY

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Elena Achkovska Leshkovska

2016-12-01

Full Text Available Since 1983, when Howard Gardner published his theory of multiple intelligences, educators have begun to incorporate this new model into school programs. However, the idea of multimodal teaching is hardly a new concept. Many pioneers of modern education, such as: J. J. Rousseau, J.H. Pestalozzi, M. Montessory, J. Dewey, suggested educational models that oppose uniformity and predominantly verbal teaching. The aim of the research presented in this paper is to identify and compare compatible elements of educational ideas of John Dewey and Howard Gardner. The research is based on historical-comparative method and content analysis technique and is focused on exploring three key elements of intersection: curriculum, methods of teaching and learning, and teachers’ role. Regarding the curriculum, both authors prefer integrated and thematic curriculum based on real-life context. They also agree on student-centred teaching where implementation of variety of active methods of learning will give opportunity to students to express their specific identity. Teacher’s role in both concepts is to link students’ personal experiences and characteristics to the material being studied and to the school life in general. The findings imply that educational implications of Gardner’s theory can be considered as a continuation of Dewey’s progressive vision of classroom teaching and school organization.

Measured effect of emotional intelligence education in the ...

African Journals Online (AJOL)

The study investigated the effects of Emotional Intelligence education in the remediation of aggressive behaviours among the members of the National Union of Road Transport Workers (NURTW) in Ibadan metropolis. Eighty-nine (89) member of the NURTW who were randomly selected from Gate, Molete and Iwo Road ...

Transformational leadership and organizational citizenship behavior: Modeling emotional intelligence as mediator

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Majeed Nauman

2017-12-01

Full Text Available Leadership and organizational citizenship behavior (OCB stayed at pinnacle in the arena of organizational behavior research since decades and has attained significant consideration of scholars pursuing to define multifaceted dynamics of leadership and their influence on follower’s behavior at work. The voluntary behavior of Organizational citizenship improves organizational effectiveness, and it goes beyond formal job duties. This study attempts to explore the association amongst transformational leadership and organizational citizenship behavior of teachers in public sector higher education institutions in Pakistan. Study of organizational citizenship behavior in educational organizations and academicians is of high value that definitely requires attention. This study examines the direct and indirect influence of transformational leadership through exploring the mediating role of emotional intelligence. The model was tested by employing structural equation modelling technique on survey responses collected from academicians. Results from 220 responses indicated that relationship between transformational leadership and Organizational Citizenship Behavior is statistically significant where Emotional Intelligence plays an important role as a mediator. The results support and add to the positive effects of transformational leadership style interconnected with extra role behavior at work making it more meaningful. The findings make a significant contribution to leadership and organizational behavior literature in higher education sector and propose that organizations should implement practices that help in enhancing the level of organizational citizenship behavior in organizations.

Life system modeling and intelligent computing. Pt. I. Proceedings

Energy Technology Data Exchange (ETDEWEB)

Li, Kang; Irwin, George W. (eds.) [Belfast Queen' s Univ. (United Kingdom). School of Electronics, Electrical Engineering and Computer Science; Fei, Minrui; Jia, Li [Shanghai Univ. (China). School of Mechatronical Engineering and Automation

2010-07-01

This book is part I of a two-volume work that contains the refereed proceedings of the International Conference on Life System Modeling and Simulation, LSMS 2010 and the International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2010, held in Wuxi, China, in September 2010. The 194 revised full papers presented were carefully reviewed and selected from over 880 submissions and recommended for publication by Springer in two volumes of Lecture Notes in Computer Science (LNCS) and one volume of Lecture Notes in Bioinformatics (LNBI). This particular volume of Lecture Notes in Computer Science (LNCS) includes 55 papers covering 7 relevant topics. The 55 papers in this volume are organized in topical sections on intelligent modeling, monitoring, and control of complex nonlinear systems; autonomy-oriented computing and intelligent agents; advanced theory and methodology in fuzzy systems and soft computing; computational intelligence in utilization of clean and renewable energy resources; intelligent modeling, control and supervision for energy saving and pollution reduction; intelligent methods in developing vehicles, engines and equipments; computational methods and intelligence in modeling genetic and biochemical networks and regulation. (orig.)

Professional competencies in health sciences education: from multiple intelligences to the clinic floor.

Science.gov (United States)

Lane, India F

2010-03-01

Nontechnical competencies identified as essential to the health professional's success include ethical behavior, interpersonal, self-management, leadership, business, and thinking competencies. The literature regarding such diverse topics, and the literature regarding "professional success" is extensive and wide-ranging, crossing educational, psychological, business, medical and vocational fields of study. This review is designed to introduce ways of viewing nontechnical competence from the psychology of human capacity to current perspectives, initiatives and needs in practice. After an introduction to the tensions inherent in educating individuals for both biomedical competency and "bedside" or "cageside" manner, the paper presents a brief overview of the major lines of inquiry into intelligence theory and how theories of multiple intelligences can build a foundation for conceptualizing professional and life skills. The discussion then moves from broad concepts of intelligence to more specific workplace skill sets, with an emphasis on professional medical education. This section introduces the research on noncognitive variables in various disciplines, the growing emphasis on competency based education, and the SKA movement in veterinary education. The next section presents the evidence that nontechnical, noncognitive or humanistic skills influence achievement in academic settings, medical education and clinical performance, as well as the challenges faced when educational priorities must be made.

Validating Intelligent Power and Energy Systems { A Discussion of Educational Needs

DEFF Research Database (Denmark)

Kotsampopoulos, P.; Hatziargyriou, N.; Strasser, T. I.

2017-01-01

/future researchers and engineers is becoming more and more necessary. This paper identifies educational and training needs addressing the higher complexity of intelligent energy systems. Education needs and requirements are discussed, such as the development of systems-oriented skills and cross-disciplinary learning...

Intelligence and the brain: a model-based approach

NARCIS (Netherlands)

Kievit, R.A.; van Rooijen, H.; Wicherts, J.M.; Waldorp, L.J.; Kan, K.-J.; Scholte, H.S.; Borsboom, D.

2012-01-01

Various biological correlates of general intelligence (g) have been reported. Despite this, however, the relationship between neurological measurements and g is not fully clear. We use structural equation modeling to model the relationship between behavioral Wechsler Adult Intelligence Scale (WAIS)

How do educational attainment and gender relate to fluid intelligence, crystallized intelligence, and academic skills at ages 22-90 years?

Science.gov (United States)

Kaufman, Alan S; Kaufman, James C; Liu, Xin; Johnson, Cheryl K

2009-03-01

Educational attainment and gender differences on fluid intelligence (Gf), crystallized intelligence (Gc), and academic skills in reading, math, and writing were analyzed for stratified adult samples ranging in age from 22 to 90 years. The data sources were the adult portions of the standardization samples of the second editions of Kaufman Brief Intelligence Test (N = 570) and the Kaufman Test of Educational Achievement-Brief Form (N = 555). Five univariate analysis of covariance were conducted with age as the covariate. Correlational analysis supplemented the covariate analyses to better understand the relationship of the five variables to education. All variables related significantly and substantially to years of formal schooling, an important finding in view of the key nature of this background variable for conducting neuropsychological assessments, as elaborated by Heaton and his colleagues. Surprisingly, Gf related just as strongly to education as did the school-related Gc. Among academic skill areas, math correlated higher with years of formal schooling than did either reading or writing. Women significantly outperformed men on the writing test and the reverse was true for the math test; other gender differences were not significant. These analyses fill a gap in the literature regarding the nature of gender and education differences in academic skills for heterogeneous samples of normal adults between young adulthood and old age and have practical implications for neuropsychological assessment.

Artificial Intelligence and the Future of Education: Big Promises-Bigger Challenges%Artificial Intelligence and the Future of Education:Big Promises-Bigger Challenges

Institute of Scientific and Technical Information of China (English)

Jonathan Michael Spector; Du Jing

2017-01-01

The history of educational technology in the last 50 years contains few instances of dramatic improvements in learning based on the adoption of a particular technology.An example involving artificial intelligence occurred in the 1990s with the development of intelligent tutoring systems (ITSs).What happened with ITSs was that their success was limited to well-defined and relatively simple declarative and procedural leaming tasks (e.g.,learning how to write a recursive function in LISP;doing multi-column addition),and improvements that were observed tended to be more limited than promised (e.g.,one standard deviation improvement at best rather than the promised standard deviation improvement).Still,there was some progress in terms of how to conceptualize learning.A seldom documented limitation was the notion of only viewing learning from only content and cognitive perspectives (i.e.,in terms of memory limitations,prior knowledge,bug libraries,learning hierarchies and sequences etc.).Little attention was paid to education conceived more broadly than developing specific cognitive skills with highly constrained problems.New technologies offer the potential to create dynamic and multi-dimensional models of a particular leamer,and to track large data sets of learning activities,resources,interventions,and outcomes over a great many leamers.Using those data to personalize learning for a particular leamer developing knowledge,competence and understanding in a specific domain of inquiry is finally a real possibility.While the potential to make significant progress is clearly possible,the reality is less not so promising.There are many as yet unmet challenging some of which will be mentioned in this paper.A persistent worry is that educational technologists and computer scientists will again promise too much,too soon at too little cost and with too little effort and attention to the realities in schools and universities.

Orchestrating Multiple Intelligences

Science.gov (United States)

Moran, Seana; Kornhaber, Mindy; Gardner, Howard

2006-01-01

Education policymakers often go astray when they attempt to integrate multiple intelligences theory into schools, according to the originator of the theory, Howard Gardner, and his colleagues. The greatest potential of a multiple intelligences approach to education grows from the concept of a profile of intelligences. Each learner's intelligence…

An Artificial Intelligence-Based Distance Education System: Artimat

Science.gov (United States)

Nabiyev, Vasif; Karal, Hasan; Arslan, Selahattin; Erumit, Ali Kursat; Cebi, Ayca

2013-01-01

The purpose of this study is to evaluate the artificial intelligence-based distance education system called ARTIMAT, which has been prepared in order to improve mathematical problem solving skills of the students, in terms of conceptual proficiency and ease of use with the opinions of teachers and students. The implementation has been performed…

Modeling of biological intelligence for SCM system optimization.

Science.gov (United States)

Chen, Shengyong; Zheng, Yujun; Cattani, Carlo; Wang, Wanliang

2012-01-01

This article summarizes some methods from biological intelligence for modeling and optimization of supply chain management (SCM) systems, including genetic algorithms, evolutionary programming, differential evolution, swarm intelligence, artificial immune, and other biological intelligence related methods. An SCM system is adaptive, dynamic, open self-organizing, which is maintained by flows of information, materials, goods, funds, and energy. Traditional methods for modeling and optimizing complex SCM systems require huge amounts of computing resources, and biological intelligence-based solutions can often provide valuable alternatives for efficiently solving problems. The paper summarizes the recent related methods for the design and optimization of SCM systems, which covers the most widely used genetic algorithms and other evolutionary algorithms.

Modeling of Biological Intelligence for SCM System Optimization

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Shengyong Chen

2012-01-01

Full Text Available This article summarizes some methods from biological intelligence for modeling and optimization of supply chain management (SCM systems, including genetic algorithms, evolutionary programming, differential evolution, swarm intelligence, artificial immune, and other biological intelligence related methods. An SCM system is adaptive, dynamic, open self-organizing, which is maintained by flows of information, materials, goods, funds, and energy. Traditional methods for modeling and optimizing complex SCM systems require huge amounts of computing resources, and biological intelligence-based solutions can often provide valuable alternatives for efficiently solving problems. The paper summarizes the recent related methods for the design and optimization of SCM systems, which covers the most widely used genetic algorithms and other evolutionary algorithms.

Modeling of Biological Intelligence for SCM System Optimization

Science.gov (United States)

Chen, Shengyong; Zheng, Yujun; Cattani, Carlo; Wang, Wanliang

2012-01-01

This article summarizes some methods from biological intelligence for modeling and optimization of supply chain management (SCM) systems, including genetic algorithms, evolutionary programming, differential evolution, swarm intelligence, artificial immune, and other biological intelligence related methods. An SCM system is adaptive, dynamic, open self-organizing, which is maintained by flows of information, materials, goods, funds, and energy. Traditional methods for modeling and optimizing complex SCM systems require huge amounts of computing resources, and biological intelligence-based solutions can often provide valuable alternatives for efficiently solving problems. The paper summarizes the recent related methods for the design and optimization of SCM systems, which covers the most widely used genetic algorithms and other evolutionary algorithms. PMID:22162724

Attitudes of Special Education Teachers and School Psychologists toward Individualized Education Plan IEPs Developed Using Traditional Assessments versus IEPs Developed Using a Multiple Intelligence Assessment

Science.gov (United States)

Alhajri, Meshari A SH A.

2011-01-01

The purpose of this research was to determine the usefulness of Multiple Intelligence for educational planning for students in special education. More specifically, this study applied the Multiple Intelligences Developmental Assessment Scales (MIDAS) to a sample of students receiving special education services who had IEPs developed using…

Videogames: Multisensory Incentives Boosting Multiple Intelligences in Primary Education

Science.gov (United States)

del Moral-Pérez, Mª Esther; Fernández-García, Laura Carlota; Guzmán-Duque, Alba Patricia

2015-01-01

Introduction: Our research focused on studying the extent to which the planned, systematic use of educational videogames can result in the generation of learning contexts conducive to developing Multiple Intelligences (MIs) amongst schoolchildren. Methodology: A twofold methodological approach was adopted: a) qualitative: previous assessment and…

Using Game Theory Techniques and Concepts to Develop Proprietary Models for Use in Intelligent Games

Science.gov (United States)

Christopher, Timothy Van

2011-01-01

This work is about analyzing games as models of systems. The goal is to understand the techniques that have been used by game designers in the past, and to compare them to the study of mathematical game theory. Through the study of a system or concept a model often emerges that can effectively educate students about making intelligent decisions…

Evolution and Revolution in Artificial Intelligence in Education

Science.gov (United States)

Roll, Ido; Wylie, Ruth

2016-01-01

The field of Artificial Intelligence in Education (AIED) has undergone significant developments over the last twenty-five years. As we reflect on our past and shape our future, we ask two main questions: What are our major strengths? And, what new opportunities lay on the horizon? We analyse 47 papers from three years in the history of the…

Forecasting rain events - Meteorological models or collective intelligence?

Science.gov (United States)

Arazy, Ofer; Halfon, Noam; Malkinson, Dan

2015-04-01

Collective intelligence is shared (or group) intelligence that emerges from the collective efforts of many individuals. Collective intelligence is the aggregate of individual contributions: from simple collective decision making to more sophisticated aggregations such as in crowdsourcing and peer-production systems. In particular, collective intelligence could be used in making predictions about future events, for example by using prediction markets to forecast election results, stock prices, or the outcomes of sport events. To date, there is little research regarding the use of collective intelligence for prediction of weather forecasting. The objective of this study is to investigate the extent to which collective intelligence could be utilized to accurately predict weather events, and in particular rainfall. Our analyses employ metrics of group intelligence, as well as compare the accuracy of groups' predictions against the predictions of the standard model used by the National Meteorological Services. We report on preliminary results from a study conducted over the 2013-2014 and 2014-2015 winters. We have built a web site that allows people to make predictions on precipitation levels on certain locations. During each competition participants were allowed to enter their precipitation forecasts (i.e. 'bets') at three locations and these locations changed between competitions. A precipitation competition was defined as a 48-96 hour period (depending on the expected weather conditions), bets were open 24-48 hours prior to the competition, and during betting period participants were allowed to change their bets with no limitation. In order to explore the effect of transparency, betting mechanisms varied across study's sites: full transparency (participants able to see each other's bets); partial transparency (participants see the group's average bet); and no transparency (no information of others' bets is made available). Several interesting findings emerged from

Competitive Intelligence.

Science.gov (United States)

Bergeron, Pierrette; Hiller, Christine A.

2002-01-01

Reviews the evolution of competitive intelligence since 1994, including terminology and definitions and analytical techniques. Addresses the issue of ethics; explores how information technology supports the competitive intelligence process; and discusses education and training opportunities for competitive intelligence, including core competencies…

Is the association between offspring intelligence and parents' educational attainment influenced by schizophrenia or mood disorder in parents?

Directory of Open Access Journals (Sweden)

Aja Neergaard Greve

2017-09-01

Full Text Available Results from twin, family, and adoption studies all suggest that general intelligence is highly heritable. Several studies have shown lower premorbid intelligence in individuals before the onset of both mood disorders and psychosis, as well as in children and adolescents at genetic high risk for developing schizophrenia. Based on these findings, we aim to investigate if the association between educational achievement in parents and intelligence in their offspring is influenced by schizophrenia or mood disorder in parents. In a large population-based sample of young adult male conscripts (n = 156,531 the presence of a mental disorder in the parents were associated with significantly lower offspring scores on a test of general intelligence, the Børge Priens Prøve (BPP, and higher educational attainment in parents was significantly associated with higher BPP test scores in offspring. A significant interaction suggested that the positive association between maternal education and offspring intelligence was stronger in offspring of mothers with schizophrenia compared to the control group (p = 0.03. The associations between parental education and offspring intelligence are also observed when restricting the sample to conscripts whose parents are diagnosed after 30 years of age. In conclusion, findings from this study show a more positive effect of education on offspring intelligence in mothers with schizophrenia compared to mothers from the control group. This effect could have both environmental and genetic explanations.

Financial Intelligence and the Quality of Higher Education in Africa ...

African Journals Online (AJOL)

Financial Intelligence and the Quality of Higher Education in Africa. ... Improving the quality of curriculum development in private Universities in Africa from time to time is a task that is very essential to achieving ... AJOL African Journals Online.

Employing the intelligence cycle process model within the Homeland Security Enterprise

OpenAIRE

Stokes, Roger L.

2013-01-01

CHDS State/Local The purpose of this thesis was to examine the employment and adherence of the intelligence cycle process model within the National Network of Fusion Centers and the greater Homeland Security Enterprise by exploring the customary intelligence cycle process model established by the United States Intelligence Community (USIC). This thesis revealed there are various intelligence cycle process models used by the USIC and taught to the National Network. Given the numerous differ...

The Actualization of Literary Learning Model Based on Verbal-Linguistic Intelligence

Directory of Open Access Journals (Sweden)

Nur Ihsan Halil

2017-10-01

Full Text Available This article is inspired by Howard Gardner's concept of linguistic intelligence and also from some authors' previous writings. All of them became the authors' reference in developing ideas on constructing a literary learning model based on linguistic intelligence. The writing of this article is not done by collecting data empirically, but by developing and constructing an existing concept, namely the concept of linguistic intelligence, which is disseminated into a literature-based learning of verbal-linguistic intelligence. The purpose of this paper is to answer the question of how to apply the literary learning model based on the verbal-linguistic intelligence. Then, regarding Gardner's concept, the author formulated a literary learning model based on the verbal-linguistic intelligence through a story-telling learning model with five steps namely arguing, discussing, interpreting, speaking, and writing about literary works. In short, the writer draw a conclusion that learning-based models of verbal-linguistic intelligence can be designed with attention into five components namely (1 definition, (2 characteristics, (3 teaching strategy, (4 final learning outcomes, and (5 figures.

Financial Intelligence and the Quality of Higher Education in Africa

African Journals Online (AJOL)

First Lady

Financial Intelligence is one of the five components of a twenty first century education, the ..... business by taking full responsibility for and becoming the Chief. Executive Officers (CEO) of their own lives, key into personal/self development or ...

Is the association between offspring intelligence and parents' educational attainment influenced by schizophrenia or mood disorder in parents?

DEFF Research Database (Denmark)

Greve, Aja Neergaard; Mors, Ole; Mortensen, Erik Lykke

2017-01-01

for developing schizophrenia. Based on these findings, we aim to investigate if the association between educational achievement in parents and intelligence in their offspring is influenced by schizophrenia or mood disorder in parents. In a large population-based sample of young adult male conscripts (n = 156......,531) the presence of a mental disorder in the parents were associated with significantly lower offspring scores on a test of general intelligence, the Børge Priens Prøve (BPP), and higher educational attainment in parents was significantly associated with higher BPP test scores in offspring. A significant...... interaction suggested that the positive association between maternal education and offspring intelligence was stronger in offspring of mothers with schizophrenia compared to the control group (p = 0.03). The associations between parental education and offspring intelligence are also observed when restricting...

Artificial intelligence support for scientific model-building

Science.gov (United States)

Keller, Richard M.

1992-01-01

Scientific model-building can be a time-intensive and painstaking process, often involving the development of large and complex computer programs. Despite the effort involved, scientific models cannot easily be distributed and shared with other scientists. In general, implemented scientific models are complex, idiosyncratic, and difficult for anyone but the original scientific development team to understand. We believe that artificial intelligence techniques can facilitate both the model-building and model-sharing process. In this paper, we overview our effort to build a scientific modeling software tool that aids the scientist in developing and using models. This tool includes an interactive intelligent graphical interface, a high-level domain specific modeling language, a library of physics equations and experimental datasets, and a suite of data display facilities.

U.S. intelligence system: model for corporate chiefs?

Science.gov (United States)

Gilad, B

1991-01-01

A fully dedicated intelligence support function for senior management is no longer a luxury but a necessity. Companies can enhance their intelligence capabilities by using the government model as a rough blueprint to structure such a program.

Mathematical modeling and computational intelligence in engineering applications

CERN Document Server

Silva Neto, Antônio José da; Silva, Geraldo Nunes

2016-01-01

This book brings together a rich selection of studies in mathematical modeling and computational intelligence, with application in several fields of engineering, like automation, biomedical, chemical, civil, electrical, electronic, geophysical and mechanical engineering, on a multidisciplinary approach. Authors from five countries and 16 different research centers contribute with their expertise in both the fundamentals and real problems applications based upon their strong background on modeling and computational intelligence. The reader will find a wide variety of applications, mathematical and computational tools and original results, all presented with rigorous mathematical procedures. This work is intended for use in graduate courses of engineering, applied mathematics and applied computation where tools as mathematical and computational modeling, numerical methods and computational intelligence are applied to the solution of real problems.

A new leadership curriculum: the multiplication of intelligence.

Science.gov (United States)

Wiseman, Liz; Bradwejn, Jacques; Westbroek, Erick M

2014-03-01

The authors propose a new model of leadership for the clinical setting. The authors' research suggests that there is latent intelligence inside business and educational organizations because many leaders operate in a way that shuts down the intelligence of others. Such leaders are classified as "Diminishers." In the clinical setting this behavior creates a hidden curriculum in medical education, passing on unprofessional patterns of behavior to future physicians. Other leaders, however, amplify intelligence, produce better outcomes, and grow talent. These leaders are classified as "Multipliers." The authors suggest that Multiplier leadership should become the standard leadership practice in medical schools. Case studies of a Multiplier and a Diminisher are presented and illustrate the positive effect these leaders can have on medical education and health organizations.

Intelligence and education as predictors of cognitive state in late life: a 50-year follow-up.

Science.gov (United States)

Plassman, B L; Welsh, K A; Helms, M; Brandt, J; Page, W F; Breitner, J C

1995-08-01

We evaluated the relation of education and intelligence in early adult life to cognitive function in a group of elderly male twins. The Army General Classification Test (AGCT) was administered to US armed forces inductees in the early 1940s. Fifty years later, as part of a study of dementia in twins, we tested the cognitive status of 930 of these men using the modified Telephone Interview for Cognitive Status (TICS-m). TICS-m scores obtained in later life were correlated with AGCT scores (r = 0.457) and with years of education (r = 0.408). Thus, in univariate analyses, the AGCT score accounted for 20.6% and education accounted for 16.7% of variance in cognitive status. However, these two effects were not fully independent. A multivariable model using AGCT score, education, and the interaction of the two variables as predictors of the TICS-m score explained 24.8% of the variance, a slightly but significantly greater proportion than was explained by either factor alone. In a separate analysis based on 604 pairs of twins who took the AGCT, heritability of intelligence (estimated by AGCT score) was 0.503. Although this study does not address the issue of education and premorbid IQ as risk factors for dementia, the findings suggest that basic cognitive abilities in late life are related to cognitive performance measures from early adult life (ie, education and IQ).

Student-Teachers in Higher Education Institutions' (HEIs) Emotional Intelligence and Mathematical Competencies

Science.gov (United States)

Eustaquio, William Rafael

2015-01-01

As manifested by various studies conducted, the present state of Mathematics education in the teaching-learning process is relatively declining and the existing effort to identify emotional intelligence and mathematics competencies of Mathematics major student-teachers at Higher Education Institutions in Isabela is an attempt to help alleviate the…

Emotional intelligence and social skills on self-efficacy in Secondary Education students. Are there gender differences?

Science.gov (United States)

Salavera, Carlos; Usán, Pablo; Jarie, Laurane

2017-10-01

Self-efficacy affects our students' academic results, which may be related to people's social skills and emotional intelligence. This study included 1402 (50.71% males) Secondary Education Spanish students (12-17 years), and analysed the relation of self-efficacy with emotional intelligence and social skills. It showed how these constructs were related, and how the self-efficacy perceived by students varied according to their social skills and emotional intelligence. Gender did not influence self-efficacy, social skills and emotional intelligence. These variables showed similar correlation indices in females and males. Self-efficacy was related with social skills and emotional intelligence in Secondary Education students, but this relation was not gender-sensitive. More studies and research are needed to study and describe these variables according to gender from other perspectives. One proposal is to investigate the association between gender identity and self-efficacy and social skills and emotional intelligence to better understand how these constructs participate in adolescent development. Copyright © 2017 The Foundation for Professionals in Services for Adolescents. Published by Elsevier Ltd. All rights reserved.

Spiritual Intelligence, Emotional Intelligence and Auditor’s Performance

OpenAIRE

Hanafi, Rustam

2010-01-01

The objective of this research was to investigate empirical evidence about influence audi-tor spiritual intelligence on the performance with emotional intelligence as a mediator variable. Linear regression models are developed to examine the hypothesis and path analysis. The de-pendent variable of each model is auditor performance, whereas the independent variable of model 1 is spiritual intelligence, of model 2 are emotional intelligence and spiritual intelligence. The parameters were estima...

Model of key success factors for Business Intelligence implementation

Directory of Open Access Journals (Sweden)

Peter Mesaros

2016-07-01

Full Text Available New progressive technologies recorded growth in every area. Information-communication technologies facilitate the exchange of information and it facilitates management of everyday activities in enterprises. Specific modules (such as Business Intelligence facilitate decision-making. Several studies have demonstrated the positive impact of Business Intelligence to decision-making. The first step is to put in place the enterprise. The implementation process is influenced by many factors. This article discusses the issue of key success factors affecting to successful implementation of Business Intelligence. The article describes the key success factors for successful implementation and use of Business Intelligence based on multiple studies. The main objective of this study is to verify the effects and dependence of selected factors and proposes a model of key success factors for successful implementation of Business Intelligence. Key success factors and the proposed model are studied in Slovak enterprises.

Towards a universal competitive intelligence process model

Directory of Open Access Journals (Sweden)

Rene Pellissier

2013-08-01

Full Text Available Background: Competitive intelligence (CI provides actionable intelligence, which provides a competitive edge in enterprises. However, without proper process, it is difficult to develop actionable intelligence. There are disagreements about how the CI process should be structured. For CI professionals to focus on producing actionable intelligence, and to do so with simplicity, they need a common CI process model.Objectives: The purpose of this research is to review the current literature on CI, to look at the aims of identifying and analysing CI process models, and finally to propose a universal CI process model.Method: The study was qualitative in nature and content analysis was conducted on all identified sources establishing and analysing CI process models. To identify relevant literature, academic databases and search engines were used. Moreover, a review of references in related studies led to more relevant sources, the references of which were further reviewed and analysed. To ensure reliability, only peer-reviewed articles were used.Results: The findings reveal that the majority of scholars view the CI process as a cycle of interrelated phases. The output of one phase is the input of the next phase.Conclusion: The CI process is a cycle of interrelated phases. The output of one phase is the input of the next phase. These phases are influenced by the following factors: decision makers, process and structure, organisational awareness and culture, and feedback.

Robotics, Artificial Intelligence, Computer Simulation: Future Applications in Special Education.

Science.gov (United States)

Moore, Gwendolyn B.; And Others

The report describes three advanced technologies--robotics, artificial intelligence, and computer simulation--and identifies the ways in which they might contribute to special education. A hybrid methodology was employed to identify existing technology and forecast future needs. Following this framework, each of the technologies is defined,…

Effectiveness of an Emotional Intelligence Program in Elementary Education

Directory of Open Access Journals (Sweden)

Isabel Mª Merchán

2014-07-01

Full Text Available The aim of this article is to demonstrate the positive effects of the implementation of a program to develop emotional competence in first year students of primary education. This population has been taking as public school students in the city of Badajoz during the course 2012-2013, selecting a sample of 78 pupils aged between 5 and 7 years, divided into experimental group and control group. The methodological procedure focuses on a descriptive-interpretative approach with two data collection techniques: sociometric test and test emotional intelligence. Designed and implemented a program of emotional intelligence with students in the experimental group, measured before and after the intervention the level of emotional competence and social relations of the class group. Similarly, measurements were taken of the degree of emotional competence and social relations of the students in the control group, which did not participate in the intervention. The results show that the program was effective to increase the emotional intelligence of students that make up the experimental group improved with it the degree of friendship and social relations of the class group.

EDUCATIONAL OBJECTIVES IN INTELLIGENT TUTORS FOR COMMUNICATION SKILLS

Directory of Open Access Journals (Sweden)

CIPRIAN CUCU

2015-10-01

Full Text Available Intelligent Tutoring Systems have been successfully used to simulate human tutoring in various fields such as mathematics, physics or computer programming. The current paper discusses some of the particularities of designing such systems for the education of communication skills, specifically in a business setting (customer relations, employee communications etc. Since communication is an ill-defined domain (i.e. does not provide a systematic method to obtain a solution, various challenges arise. One of these challenges is the design of educational objectives – the module built on top of the system that would check the users' actions against predefined patterns and would provide the users with feed-back accordingly.

Education-Related Factors in Cultural Intelligence Development: A Colombian Study

Science.gov (United States)

Robledo-Ardila, Cristina; Aguilar-Barrientos, Sara; Román-Calderón, Juan Pablo

2016-01-01

This article reports the results of a study inquiring about the role of education-related factors in the development of cultural intelligence. Five hundred fifty-seven students of a Colombian international business (IB) undergraduate program participated in the study. The psychometric properties of the measures were assessed by conducting…

Penerapan Model Pembelajaran Atraktif Berbasis Multiple Intelligences Tentang Pemantulan Cahaya pada Cermin

Directory of Open Access Journals (Sweden)

Intan Kusumawati

2016-03-01

Full Text Available Penelitian ini bertujuan untuk mengetahui efektivitas penerapan model pembelajaran atraktif berbasis multiple intelligences dalam meremediasi miskonsepsi siswa tentang pemantulan cahaya pada cermin. Pada penelitian ini digunakan bentuk pre-eksperimental design dengan rancangan one group pretest-post test design. Alat pengumpulan data berupa tes pilihan ganda dengan reasoning. Hasil validitas sebesar 4,08 dan reliabilitas 0,537. Siswa dibagi menjadi lima kelompok kecerdasan, yaitu kelompok linguistic intelligence, mathematical-logical intelligence, visual-spatial intelligence, bodily-khinestetic intelligence, dan musical intelligence. Siswa membahas konsep fisika sesuai kelompok kecerdasannya dalam bentuk pembuatan pantun-puisi, teka-teki silang, menggambar kreatif, drama, dan mengarang lirik lagu. Efektivitas penerapan model pembelajaran multiple intelligences menggunakan persamaan effect size. Ditemukan bahwa skor effect size masing-masing kelompok berkategori tinggi sebesar 5,76; 3,76; 4,60; 1,70; dan 1,34. Penerapan model pembelajaran atraktif berbasis multiple intelligences efektif dalam meremediasi miskonsepsi siswa. Penelitian ini diharapkan dapat digunakan pada materi fisika dan sekolah lainnya.

Childhood intelligence, educational attainment and adult body mass index: findings from a prospective cohort and within sibling-pairs analysis.

Science.gov (United States)

Lawlor, D A; Clark, H; Davey Smith, G; Leon, D A

2006-12-01

The mechanisms underlying the observed association of childhood intelligence with body mass index (BMI) are unclear and few studies of this association have been prospective in design. Prospective study in a birth cohort of 5467 individuals who were born in Aberdeen, Scotland between 1950 and 1956 and who responded to a follow-up survey in 2001. Comparison of associations within sibling pairs of the same family to associations between different families in 643 sibling pairs (1286 individuals) who are participants in the main cohort. Childhood intelligence (age 7 years) and educational attainment were both inversely associated with adult BMI (mean age 48 years): the sex- and age-adjusted mean change in adult BMI per s.d. of intelligence was -0.35 kg/m(2) (95% CI: -0.49, -0.21 kg/m(2)) and per unit increase in educational category (seven categories) was -0.28 kg/m(2) (95% CI: -0.34, -0.22). On adjustment for education the association between childhood intelligence and adult BMI attenuated to the null (-0.03 kg/m(2) (-0.19, 0.13 kg/m(2))); other potential confounding or mediating factors had little or only modest effects on this association. The association between education and adult BMI was not affected by adjustment for childhood intelligence or other potential covariates. The within sibling-pair effect of education on adult BMI (-0.06 kg/m(2) (95% CI: -0.26, 0.14)) was weaker than the effect between different families (-0.37 kg/m(2) (95%CI: -0.58, -0.17)), P-value for difference of within sibling and between family effect=0.03. The association of childhood intelligence with adult BMI is attenuated to the null on adjustment for educational attainment, whereas the association of educational attainment with adult BMI appears to be independent of childhood intelligence and other measured covariates. However, our family analyses suggest that fixed family and neighbourhood factors, which are closely matched in siblings of a similar age, explain much of the association

An application of artificial intelligence for rainfall–runoff modeling

Indian Academy of Sciences (India)

This study proposes an application of two techniques of artificial intelligence (AI) ... (2006) applied rainfall–runoff modeling using ANN ... in artificial intelligence, engineering and science .... usually be estimated from a sample of observations.

Multiple Intelligences, the Mozart Effect, and Emotional Intelligence: A Critical Review

Science.gov (United States)

Waterhouse, Lynn

2006-01-01

This article reviews evidence for multiple intelligences theory, the Mozart effect theory, and emotional intelligence theory and argues that despite their wide currency in education these theories lack adequate empirical support and should not be the basis for educational practice. Each theory is compared to theory counterparts in cognitive…

Using Students' Knowledge to Generate Individual Feedback: Concept for an Intelligent Educational System on Logistics.

Science.gov (United States)

Ziems, Dietrich; Neumann, Gaby

1997-01-01

Discusses a methods kit for interactive problem-solving exercises in engineering education as well as a methodology for intelligent evaluation of solutions. The quality of a system teaching logistics thinking can be improved using artificial intelligence. Embedding a rule-based diagnosis module that evaluates the student's knowledge actively…

Metacognitive experience of mathematics education students in open start problem solving based on intrapersonal intelligence

Science.gov (United States)

Sari, D. P.; Usodo, B.; Subanti, S.

2018-04-01

This research aims to describe metacognitive experience of mathematics education students with strong, average, and weak intrapersonal intelligence in open start problem solving. Type of this research was qualitative research. The research subject was mathematics education students in Muhammadiyah University of Surakarta in academic year 2017/2018. The selected students consisted of 6 students with details of two students in each intrapersonal intelligence category. The research instruments were questionnaire, open start problem solving task, and interview guidelines. Data validity used time triangulation. Data analyses were done through data collection, data reduction, data presentation, and drawing conclusion. Based on findings, subjects with strong intrapersonal intelligence had high self confidence that they were able to solve problem correctly, able to do planning steps and able to solve the problem appropriately. Subjects with average intrapersonal intelligence had high self-assessment that they were able to solve the problem, able to do planning steps appropriately but they had not maximized in carrying out the plan so that it resulted incorrectness answer. Subjects with weak intrapersonal intelligence had high self confidence in capability of solving math problem, lack of precision in taking plans so their task results incorrectness answer.

A situation-response model for intelligent pilot aiding

Science.gov (United States)

Schudy, Robert; Corker, Kevin

1987-01-01

An intelligent pilot aiding system needs models of the pilot information processing to provide the computational basis for successful cooperation between the pilot and the aiding system. By combining artificial intelligence concepts with the human information processing model of Rasmussen, an abstraction hierarchy of states of knowledge, processing functions, and shortcuts are developed, which is useful for characterizing the information processing both of the pilot and of the aiding system. This approach is used in the conceptual design of a real time intelligent aiding system for flight crews of transport aircraft. One promising result was the tentative identification of a particular class of information processing shortcuts, from situation characterizations to appropriate responses, as the most important reliable pathway for dealing with complex time critical situations.

Constructive thinking, rational intelligence and irritable bowel syndrome.

Science.gov (United States)

Rey, Enrique; Moreno Ortega, Marta; Garcia Alonso, Monica-Olga; Diaz-Rubio, Manuel

2009-07-07

To evaluate rational and experiential intelligence in irritable bowel syndrome (IBS) sufferers. We recruited 100 subjects with IBS as per Rome II criteria (50 consulters and 50 non-consulters) and 100 healthy controls, matched by age, sex and educational level. Cases and controls completed a clinical questionnaire (including symptom characteristics and medical consultation) and the following tests: rational-intelligence (Wechsler Adult Intelligence Scale, 3rd edition); experiential-intelligence (Constructive Thinking Inventory); personality (NEO personality inventory); psychopathology (MMPI-2), anxiety (state-trait anxiety inventory) and life events (social readjustment rating scale). Analysis of variance was used to compare the test results of IBS-sufferers and controls, and a logistic regression model was then constructed and adjusted for age, sex and educational level to evaluate any possible association with IBS. No differences were found between IBS cases and controls in terms of IQ (102.0 +/- 10.8 vs 102.8 +/- 12.6), but IBS sufferers scored significantly lower in global constructive thinking (43.7 +/- 9.4 vs 49.6 +/- 9.7). In the logistic regression model, global constructive thinking score was independently linked to suffering from IBS [OR 0.92 (0.87-0.97)], without significant OR for total IQ. IBS subjects do not show lower rational intelligence than controls, but lower experiential intelligence is nevertheless associated with IBS.

Developing the Emotional Intelligence of Undergraduate Music Education Majors: An Exploratory Study Using Bradberry and Greaves' (2009) "Emotional Intelligence 2.0"

Science.gov (United States)

McGinnis, Emily J.

2018-01-01

Research focused on the relationship of emotional intelligence (EI) to academic and professional success in education, and whether and how it might be taught and learned, is inconclusive. The purpose of this study was to examine the degree to which undergraduate music education majors experienced a change in EI after implementing strategies from…

Life system modeling and intelligent computing. Pt. II. Proceedings

Energy Technology Data Exchange (ETDEWEB)

Li, Kang; Irwin, George W. (eds.) [Belfast Queen' s Univ. (United Kingdom). School of Electronics, Electrical Engineering and Computer Science; Fei, Minrui; Jia, Li [Shanghai Univ. (China). School of Mechatronical Engineering and Automation

2010-07-01

This book is part II of a two-volume work that contains the refereed proceedings of the International Conference on Life System Modeling and Simulation, LSMS 2010 and the International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2010, held in Wuxi, China, in September 2010. The 194 revised full papers presented were carefully reviewed and selected from over 880 submissions and recommended for publication by Springer in two volumes of Lecture Notes in Computer Science (LNCS) and one volume of Lecture Notes in Bioinformatics (LNBI). This particular volume of Lecture Notes in Computer Science (LNCS) includes 55 papers covering 7 relevant topics. The 56 papers in this volume are organized in topical sections on advanced evolutionary computing theory and algorithms; advanced neural network and fuzzy system theory and algorithms; modeling and simulation of societies and collective behavior; biomedical signal processing, imaging, and visualization; intelligent computing and control in distributed power generation systems; intelligent methods in power and energy infrastructure development; intelligent modeling, monitoring, and control of complex nonlinear systems. (orig.)

Connecting Multiple Intelligences through Open and Distance Learning: Going towards a Collective Intelligence?

Science.gov (United States)

Medeiros Vieira, Leandro Mauricio; Ferasso, Marcos; Schröeder, Christine da Silva

2014-01-01

This theoretical essay is a learning approach reflexion on Howard Gardner's Theory of Multiple Intelligences and the possibilities provided by the education model known as open and distance learning. Open and distance learning can revolutionize traditional pedagogical practice, meeting the needs of those who have different forms of cognitive…

Vocabulary is an appropriate measure of premorbid intelligence in a sample with heterogeneous educational level in Brazil.

Science.gov (United States)

de Oliveira, Maira Okada; Nitrini, Ricardo; Yassuda, Mônica Sanches; Brucki, Sonia Maria Dozzi

2014-01-01

Crystallized intelligence refers to one's knowledge base and can be measured by vocabulary tests. Fluid intelligence is related to nonverbal aspects of intelligence, depends very little on previously acquired knowledge, and can be measured by tests such as Block Design (BD) and Raven Colored Matrices (RCM). Premorbid intelligence quotient (IQ) refers to one's intellectual ability level previous to the onset of disorders like mild cognitive impairment (MCI) and Alzheimer's disease (AD) and it is important to estimate disease severity. The objective was to compare performance in tests that measure crystallized and fluid intelligence in healthy subjects and patients with amnestic MCI (aMCI) and AD. One hundred forty-four participants (aMCI (n = 38), AD (n = 45), and healthy controls (n = 61)) were submitted to neuropsychological tests (WAIS-III vocabulary, BD, and RCM). There were significant among groups, except for vocabulary, indicating a relative stability of crystallized intelligence in the continuum from normal to pathological cognitive decline. Vocabulary seems to be stable during the progression of the disease and useful as a measure of premorbid intelligence, that is, to estimate previous function in relation to the level of education and, as a collateral measure of cognition in people with low education.

Vocabulary Is an Appropriate Measure of Premorbid Intelligence in a Sample with Heterogeneous Educational Level in Brazil

Directory of Open Access Journals (Sweden)

Maira Okada de Oliveira

2014-01-01

Full Text Available Crystallized intelligence refers to one’s knowledge base and can be measured by vocabulary tests. Fluid intelligence is related to nonverbal aspects of intelligence, depends very little on previously acquired knowledge, and can be measured by tests such as Block Design (BD and Raven Colored Matrices (RCM. Premorbid intelligence quotient (IQ refers to one’s intellectual ability level previous to the onset of disorders like mild cognitive impairment (MCI and Alzheimer’s disease (AD and it is important to estimate disease severity. The objective was to compare performance in tests that measure crystallized and fluid intelligence in healthy subjects and patients with amnestic MCI (aMCI and AD. One hundred forty-four participants (aMCI (n=38, AD (n=45, and healthy controls (n=61 were submitted to neuropsychological tests (WAIS-III vocabulary, BD, and RCM. There were significant among groups, except for vocabulary, indicating a relative stability of crystallized intelligence in the continuum from normal to pathological cognitive decline. Vocabulary seems to be stable during the progression of the disease and useful as a measure of premorbid intelligence, that is, to estimate previous function in relation to the level of education and, as a collateral measure of cognition in people with low education.

A FRAMEWORK FOR INTELLIGENT VOICE-ENABLED E-EDUCATION SYSTEMS

Directory of Open Access Journals (Sweden)

Azeta A. A.

2009-07-01

Full Text Available Although the Internet has received significant attention in recent years, voice is still the most convenient and natural way of communicating between human to human or human to computer. In voice applications, users may have different needs which will require the ability of the system to reason, make decisions, be flexible and adapt to requests during interaction. These needs have placed new requirements in voice application development such as use of advanced models, techniques and methodologies which take into account the needs of different users and environments. The ability of a system to behave close to human reasoning is often mentioned as one of the major requirements for the development of voice applications. In this paper, we present a framework for an intelligent voice-enabled e-Education application and an adaptation of the framework for the development of a prototype Course Registration and Examination (CourseRegExamOnline module. This study is a preliminary report of an ongoing e-Education project containing the following modules: enrollment, course registration and examination, enquiries/information, messaging/collaboration, e-Learning and library. The CourseRegExamOnline module was developed using VoiceXML for the voice user interface(VUI, PHP for the web user interface (WUI, Apache as the middle-ware and MySQL database as back-end. The system would offer dual access modes using the VUI and WUI. The framework would serve as a reference model for developing voice-based e-Education applications. The e-Education system when fully developed would meet the needs of students who are normal users and those with certain forms of disabilities such as visual impairment, repetitive strain injury (RSI, etc, that make reading and writing difficult.

Relationship between Different Types of Educational, Emotional and Spiritual Intelligence and Second Grade High School Female Students’ Religious Orientation, in Sari, Iran

Directory of Open Access Journals (Sweden)

Seyyed Ali Doustdar Toosi

2016-10-01

Full Text Available In the current research, we investigated how significantly the second grade high school female students’ educational, emotional, and spiritual intelligence were associated with their religious orientation. This research is descriptive (non- experimental with a correlation design. The research population includes all of the second grade high school girl students, during the 2015-16 educational year in Sari, a city in the north of Iran.  In this research, 260 samples were selected randomly. Research results showed that educational, emotional, and spiritual intelligence (independent variables had positive and significant relationship with internal and external religious orientation (dependent variable. As the levels of educational, emotional, and spiritual intelligence increased, so did the level of religious orientation. Also the results of multiple regression analysis showed that educational, emotional, spiritual intelligence were anticipants of religious orientation and its dimensions (internal and external religious orientation.

Emotional intelligence and learning & teaching in higher education : implications for bioscience education

OpenAIRE

Armour, William

2012-01-01

Emotional Intelligence (EI) was popularised in 1990s by Daniel Goleman’s bestselling book of the same name (Goleman 1996). EI has been criticised by scholars in the psychological community for lack of a clear definition or empirical evidence that it is anything more than a combination of already known cognitive and personality factors. Despite this controversy, there are many proponents of EI in higher education who highlight the folly of trying to separate the cognitive from the emotional. T...

Model architecture of intelligent data mining oriented urban transportation information

Science.gov (United States)

Yang, Bogang; Tao, Yingchun; Sui, Jianbo; Zhang, Feizhou

2007-06-01

Aiming at solving practical problems in urban traffic, the paper presents model architecture of intelligent data mining from hierarchical view. With artificial intelligent technologies used in the framework, the intelligent data mining technology improves, which is more suitable for the change of real-time road condition. It also provides efficient technology support for the urban transport information distribution, transmission and display.

Computational Intelligence. Mortality Models for the Actuary

NARCIS (Netherlands)

Willemse, W.J.

2001-01-01

This thesis applies computational intelligence to the field of actuarial (insurance) science. In particular, this thesis deals with life insurance where mortality modelling is important. Actuaries use ancient models (mortality laws) from the nineteenth century, for example Gompertz' and Makeham's

Artificial Intelligence and Its Importance in Education.

Science.gov (United States)

Tilmann, Martha J.

Artificial intelligence, or the study of ideas that enable computers to be intelligent, is discussed in terms of what it is, what it has done, what it can do, and how it may affect the teaching of tomorrow. An extensive overview of artificial intelligence examines its goals and applications and types of artificial intelligence including (1) expert…

The highly intelligent virtual agents for modeling financial markets

Science.gov (United States)

Yang, G.; Chen, Y.; Huang, J. P.

2016-02-01

Researchers have borrowed many theories from statistical physics, like ensemble, Ising model, etc., to study complex adaptive systems through agent-based modeling. However, one fundamental difference between entities (such as spins) in physics and micro-units in complex adaptive systems is that the latter are usually with high intelligence, such as investors in financial markets. Although highly intelligent virtual agents are essential for agent-based modeling to play a full role in the study of complex adaptive systems, how to create such agents is still an open question. Hence, we propose three principles for designing high artificial intelligence in financial markets and then build a specific class of agents called iAgents based on these three principles. Finally, we evaluate the intelligence of iAgents through virtual index trading in two different stock markets. For comparison, we also include three other types of agents in this contest, namely, random traders, agents from the wealth game (modified on the famous minority game), and agents from an upgraded wealth game. As a result, iAgents perform the best, which gives a well support for the three principles. This work offers a general framework for the further development of agent-based modeling for various kinds of complex adaptive systems.

Intelligence and Schooling. Fueling the Education Explosion: Proceedings of Conference 2 (Cleveland, Ohio, November 17-18, 1983).

Science.gov (United States)

Gardner, Mary, Ed.; Reed-Mundell, Charlene, Ed.

These proceedings contain presentations from a conference whose major topics were real-world intelligence, artificial intelligence, and linkage between the education and corporate sectors. "People, Perspectives...Potential and Possibilities" (Elyse S. Fleming), which was the conference's closing speech, briefly summarizes the information…

A Business Intelligence Framework for Sustainability Information Management in Higher Education

Science.gov (United States)

Scholtz, Brenda; Calitz, Andre; Haupt, Ross

2018-01-01

Purpose: Higher education institutions (HEIs) face a number of challenges in effectively managing and reporting on sustainability information, such as siloes of data and a limited distribution of information. Business intelligence (BI) can assist in addressing the challenges faced by organisations. The purpose of this study was to propose a BI…

Comparison of the Physical Education and Sports School Students' Multiple Intelligence Areas According to Demographic Features

Science.gov (United States)

Aslan, Cem Sinan

2016-01-01

The aim of this study is to compare the multiple intelligence areas of a group of physical education and sports students according to their demographic features. In the study, "Multiple Intelligence Scale", consisting of 27 items, whose Turkish validity and reliability study have been done by Babacan (2012) and which is originally owned…

EMOTIONAL INTELLIGENCE AND ORGANIZATIONAL COMPETITIVENESS: MANAGEMENT MODEL APPROACH

Directory of Open Access Journals (Sweden)

John N. N. Ugoani

2016-09-01

Full Text Available Modern organization theory considers emotional intelligence as the index of competencies that help organizations to develop a vision for competitiveness. It also allows organizational leaders to enthusiastically commit to the vision, and energize organizational members to achieve the vision. To maximize competiveness organizations use models to simplify and clarify thinking, to identify important aspects, to suggest explanations and to predict consequences, and explore other performance areas that would otherwise be hidden in an excess of words. The survey research design was used to explore the relationship between emotional intelligence and organizational competitiveness. The study found that emotional intelligence has strong positive relationship with organizational competitiveness

Medical Education Must Move from the Information Age to the Age of Artificial Intelligence.

Science.gov (United States)

Wartman, Steven A; Combs, C Donald

2017-11-01

Changes to the medical profession require medical education reforms that will enable physicians to more effectively enter contemporary practice. Proposals for such reforms abound. Common themes include renewed emphasis on communication, teamwork, risk-management, and patient safety. These reforms are important but insufficient. They do not adequately address the most fundamental change--the practice of medicine is rapidly transitioning from the information age to the age of artificial intelligence. Employers need physicians who: work at the top of their license, have knowledge spanning the health professions and care continuum, effectively leverage data platforms, focus on analyzing outcomes and improving performance, and communicate the meaning of the probabilities generated by massive amounts of data to patients given their unique human complexities.Future medical practice will have four characteristics that must be addressed in medical education: care will be (1) provided in many locations; (2) provided by newly-constituted health care teams; and (3) based on a growing array of data from multiple sources and artificial intelligence applications; and (4) the interface between medicine and machines will need to be skillfully managed. Thus, medical education must make better use of the findings of cognitive psychology, pay more attention to the alignment of humans and machines in education, and increase the use of simulations. Medical education will need to evolve to include systematic curricular attention to the organization of professional effort among health professionals, the use of intelligence tools like machine learning and robots, and a relentless focus on improving performance and patient outcomes. [end of abstract].

A collision model for safety evaluation of autonomous intelligent cruise control.

Science.gov (United States)

Touran, A; Brackstone, M A; McDonald, M

1999-09-01

This paper describes a general framework for safety evaluation of autonomous intelligent cruise control in rear-end collisions. Using data and specifications from prototype devices, two collision models are developed. One model considers a train of four cars, one of which is equipped with autonomous intelligent cruise control. This model considers the car in front and two cars following the equipped car. In the second model, none of the cars is equipped with the device. Each model can predict the possibility of rear-end collision between cars under various conditions by calculating the remaining distance between cars after the front car brakes. Comparing the two collision models allows one to evaluate the effectiveness of autonomous intelligent cruise control in preventing collisions. The models are then subjected to Monte Carlo simulation to calculate the probability of collision. Based on crash probabilities, an expected value is calculated for the number of cars involved in any collision. It is found that given the model assumptions, while equipping a car with autonomous intelligent cruise control can significantly reduce the probability of the collision with the car ahead, it may adversely affect the situation for the following cars.

Modeling of Agile Intelligent Manufacturing-oriented Production Scheduling System

Institute of Scientific and Technical Information of China (English)

Zhong-Qi Sheng; Chang-Ping Tang; Ci-Xing Lv

2010-01-01

Agile intelligent manufacturing is one of the new manufacturing paradigms that adapt to the fierce globalizing market competition and meet the survival needs of the enterprises, in which the management and control of the production system have surpassed the scope of individual enterprise and embodied some new features including complexity, dynamicity, distributivity, and compatibility. The agile intelligent manufacturing paradigm calls for a production scheduling system that can support the cooperation among various production sectors, the distribution of various resources to achieve rational organization, scheduling and management of production activities. This paper uses multi-agents technology to build an agile intelligent manufacturing-oriented production scheduling system. Using the hybrid modeling method, the resources and functions of production system are encapsulated, and the agent-based production system model is established. A production scheduling-oriented multi-agents architecture is constructed and a multi-agents reference model is given in this paper.

Ability of university-level education to prevent age-related decline in emotional intelligence

Science.gov (United States)

Cabello, Rosario; Navarro Bravo, Beatriz; Latorre, José Miguel; Fernández-Berrocal, Pablo

2014-01-01

Numerous studies have suggested that educational history, as a proxy measure of active cognitive reserve, protects against age-related cognitive decline and risk of dementia. Whether educational history also protects against age-related decline in emotional intelligence (EI) is unclear. The present study examined ability EI in 310 healthy adults ranging in age from 18 to 76 years using the Mayer–Salovey–Caruso Emotional Intelligence Test (MSCEIT). We found that older people had lower scores than younger people for total EI and for the EI branches of perceiving, facilitating, and understanding emotions, whereas age was not associated with the EI branch of managing emotions. We also found that educational history protects against this age-related EI decline by mediating the relationship between age and EI. In particular, the EI scores of older adults with a university education were higher than those of older adults with primary or secondary education, and similar to those of younger adults of any education level. These findings suggest that the cognitive reserve hypothesis, which states that individual differences in cognitive processes as a function of lifetime intellectual activities explain differential susceptibility to functional impairment in the presence of age-related changes and brain pathology, applies also to EI, and that education can help preserve cognitive-emotional structures during aging. PMID:24653697

Intelligent Mechatronic Systems Modeling, Control and Diagnosis

CERN Document Server

Merzouki, Rochdi; Pathak, Pushparaj Mani; Ould Bouamama, Belkacem

2013-01-01

Acting as a support resource for practitioners and professionals looking to advance their understanding of complex mechatronic systems, Intelligent Mechatronic Systems explains their design and recent developments from first principles to practical applications. Detailed descriptions of the mathematical models of complex mechatronic systems, developed from fundamental physical relationships, are built on to develop innovative solutions with particular emphasis on physical model-based control strategies. Following a concurrent engineering approach, supported by industrial case studies, and drawing on the practical experience of the authors, Intelligent Mechatronic Systems covers range of topic and includes:  • An explanation of a common graphical tool for integrated design and its uses from modeling and simulation to the control synthesis • Introductions to key concepts such as different means of achieving fault tolerance, robust overwhelming control and force and impedance control • Dedicated chapters ...

An evolutionary model of bounded rationality and intelligence.

Directory of Open Access Journals (Sweden)

Thomas J Brennan

Full Text Available BACKGROUND: Most economic theories are based on the premise that individuals maximize their own self-interest and correctly incorporate the structure of their environment into all decisions, thanks to human intelligence. The influence of this paradigm goes far beyond academia-it underlies current macroeconomic and monetary policies, and is also an integral part of existing financial regulations. However, there is mounting empirical and experimental evidence, including the recent financial crisis, suggesting that humans do not always behave rationally, but often make seemingly random and suboptimal decisions. METHODS AND FINDINGS: Here we propose to reconcile these contradictory perspectives by developing a simple binary-choice model that takes evolutionary consequences of decisions into account as well as the role of intelligence, which we define as any ability of an individual to increase its genetic success. If no intelligence is present, our model produces results consistent with prior literature and shows that risks that are independent across individuals in a generation generally lead to risk-neutral behaviors, but that risks that are correlated across a generation can lead to behaviors such as risk aversion, loss aversion, probability matching, and randomization. When intelligence is present the nature of risk also matters, and we show that even when risks are independent, either risk-neutral behavior or probability matching will occur depending upon the cost of intelligence in terms of reproductive success. In the case of correlated risks, we derive an implicit formula that shows how intelligence can emerge via selection, why it may be bounded, and how such bounds typically imply the coexistence of multiple levels and types of intelligence as a reflection of varying environmental conditions. CONCLUSIONS: Rational economic behavior in which individuals maximize their own self interest is only one of many possible types of behavior that

An evolutionary model of bounded rationality and intelligence.

Science.gov (United States)

Brennan, Thomas J; Lo, Andrew W

2012-01-01

Most economic theories are based on the premise that individuals maximize their own self-interest and correctly incorporate the structure of their environment into all decisions, thanks to human intelligence. The influence of this paradigm goes far beyond academia-it underlies current macroeconomic and monetary policies, and is also an integral part of existing financial regulations. However, there is mounting empirical and experimental evidence, including the recent financial crisis, suggesting that humans do not always behave rationally, but often make seemingly random and suboptimal decisions. Here we propose to reconcile these contradictory perspectives by developing a simple binary-choice model that takes evolutionary consequences of decisions into account as well as the role of intelligence, which we define as any ability of an individual to increase its genetic success. If no intelligence is present, our model produces results consistent with prior literature and shows that risks that are independent across individuals in a generation generally lead to risk-neutral behaviors, but that risks that are correlated across a generation can lead to behaviors such as risk aversion, loss aversion, probability matching, and randomization. When intelligence is present the nature of risk also matters, and we show that even when risks are independent, either risk-neutral behavior or probability matching will occur depending upon the cost of intelligence in terms of reproductive success. In the case of correlated risks, we derive an implicit formula that shows how intelligence can emerge via selection, why it may be bounded, and how such bounds typically imply the coexistence of multiple levels and types of intelligence as a reflection of varying environmental conditions. Rational economic behavior in which individuals maximize their own self interest is only one of many possible types of behavior that arise from natural selection. The key to understanding which types of

Activating whole brain® innovation: A means of nourishing multiple intelligence in higher education

Directory of Open Access Journals (Sweden)

Ann-Louise De Boer

2015-11-01

Full Text Available The interconnectedness of the constructs ‘whole brain® thinking’ and ‘multiple intelligence’ forms the epicentre of this article. We depart from the premise that when whole brain® thinking is activated multiple intelligence can be nourished. When this becomes evident in a higher education practice it can be claimed that such a practice is innovative. Whole brain® thinking that informs intelligence and vice versa is inevitable when it comes to facilitating learning with a view to promoting quality learning in the context of higher education. If higher education is concerned about the expectations of industry and the world of work there is no other option as to prepare students in such a way that they develo as holistic – whole brained and intelligent – employers, employees and entrepreneurs who take responsibility for maximising their full potential. Becoming a self-regulated professional and being reflexive are some of the attributes of the 21st century which should be cultivated in all students. Research on whole brain® thinking and multiple intelligence shows that these human attributes form an integral part of one’s interaction with life – one’s environment and especially people as integral part of the environment. This focus on people highlights the need for developing soft skills within every curriculum. The epistemological underpinning of our reporting of experience in practice and research of the application of the principals of the constructs is meta- reflective in nature. Instead of a typical traditional stance to research we do not report on the numerous sets of data obtained over a period of more than 15 years. Our approach is that of a meta-reflective narrative as most of the studies we were involved in and still are, are reflective as it is most often than not action research-driven. And action research is a reflective process. We report on evidence-based practice that includes fields of specialisation such as

Model SH intelligent instrument for thickness measuring

International Nuclear Information System (INIS)

Liu Juntao; Jia Weizhuang; Zhao Yunlong

1995-01-01

The authors introduce Model SH Intelligent Instrument for thickness measuring by using principle of beta back-scattering and its application range, features, principle of operation, system design, calibration and specifications

Technology Watch and Competitive Intelligence: A New Challenge in Education for Information.

Science.gov (United States)

Dou, Henri; And Others

1993-01-01

Discusses the need for education of information professionals in France to change because of changing needs for scientific, technological, and economic information. The functions of technology watch and competitive intelligence based on an organization's critical success factor are shown to be important. (13 references) (EAM)

Social intelligence, human intelligence and niche construction.

Science.gov (United States)

Sterelny, Kim

2007-04-29

This paper is about the evolution of hominin intelligence. I agree with defenders of the social intelligence hypothesis in thinking that externalist models of hominin intelligence are not plausible: such models cannot explain the unique cognition and cooperation explosion in our lineage, for changes in the external environment (e.g. increasing environmental unpredictability) affect many lineages. Both the social intelligence hypothesis and the social intelligence-ecological complexity hybrid I outline here are niche construction models. Hominin evolution is hominin response to selective environments that earlier hominins have made. In contrast to social intelligence models, I argue that hominins have both created and responded to a unique foraging mode; a mode that is both social in itself and which has further effects on hominin social environments. In contrast to some social intelligence models, on this view, hominin encounters with their ecological environments continue to have profound selective effects. However, though the ecological environment selects, it does not select on its own. Accidents and their consequences, differential success and failure, result from the combination of the ecological environment an agent faces and the social features that enhance some opportunities and suppress others and that exacerbate some dangers and lessen others. Individuals do not face the ecological filters on their environment alone, but with others, and with the technology, information and misinformation that their social world provides.

Systems Intelligence in Knowledge Management Implementation: A Momentum of the SECI Model

OpenAIRE

Sasaki, Yasuo

2014-01-01

This paper discusses the role of systems intelligence in knowledge management implementations, in particular, in the SECI model, a widely acknowledged knowledge creation process in an organization identified by Nonaka and Takeuchi (1995). The SECI model deals with interactions and conversions of tacit knowledge and explicit knowledge and mainly consists of four stages. The author illustrates systems intelligence, a certain kind of human intelligence focusing on systems thinking perspective pr...

Study of the Effect of Education and Academic Environment on Emotional Intelligence on Accounting Students in Iran

Science.gov (United States)

Salehi, Mahdi; Zadeh, Mohammadreza Abbas; Ghaderi, Alireza; Tabasi, Alaleh Zhian

2016-01-01

The current study aims to investigate the relation between education and academic environment on emotional intelligence of accounting students in state and non-state universities in Iran. In order to collecting data Bar-on emotional intelligence test and SCL 90 questionnaire administrated among 476 students in different subjects including…

Snap-drift neural computing for intelligent diagnostic feedback

OpenAIRE

Habte, Samson

2017-01-01

Information and communication technologies have been playing a crucial role in improving the efficiency and effectiveness of learning and teaching in higher education. Two decades ago, research studies were focused on how to use artificial intelligence techniques to imitate teachers or tutors in delivering learning sessions. Machine learning techniques have been applied in several research studies to construct a student model in the context of intelligent tutoring systems. However, the usage ...

Modeling and simulating human teamwork behaviors using intelligent agents

Science.gov (United States)

Fan, Xiaocong; Yen, John

2004-12-01

Among researchers in multi-agent systems there has been growing interest in using intelligent agents to model and simulate human teamwork behaviors. Teamwork modeling is important for training humans in gaining collaborative skills, for supporting humans in making critical decisions by proactively gathering, fusing, and sharing information, and for building coherent teams with both humans and agents working effectively on intelligence-intensive problems. Teamwork modeling is also challenging because the research has spanned diverse disciplines from business management to cognitive science, human discourse, and distributed artificial intelligence. This article presents an extensive, but not exhaustive, list of work in the field, where the taxonomy is organized along two main dimensions: team social structure and social behaviors. Along the dimension of social structure, we consider agent-only teams and mixed human-agent teams. Along the dimension of social behaviors, we consider collaborative behaviors, communicative behaviors, helping behaviors, and the underpinning of effective teamwork-shared mental models. The contribution of this article is that it presents an organizational framework for analyzing a variety of teamwork simulation systems and for further studying simulated teamwork behaviors.

The Relevance of Emotional Intelligence for Leadership in a Higher Education Context

Science.gov (United States)

Parrish, Dominique Rene

2015-01-01

This paper reports on a case-study research investigation that sought to identify the relevance of emotional intelligence for effective higher education academic leadership. Semi-structured interviews were conducted, pre and post a leadership capacity development intervention, to gather broad data on participants' experiences, insights, and…

Recent developments in spatial analysis spatial statistics, behavioural modelling, and computational intelligence

CERN Document Server

Getis, Arthur

1997-01-01

In recent years, spatial analysis has become an increasingly active field, as evidenced by the establishment of educational and research programs at many universities. Its popularity is due mainly to new technologies and the development of spatial data infrastructures. This book illustrates some recent developments in spatial analysis, behavioural modelling, and computational intelligence. World renown spatial analysts explain and demonstrate their new and insightful models and methods. The applications are in areas of societal interest such as the spread of infectious diseases, migration behaviour, and retail and agricultural location strategies. In addition, there is emphasis on the uses of new technologoies for the analysis of spatial data through the application of neural network concepts.

Genetics and intelligence differences: five special findings

Science.gov (United States)

Plomin, R; Deary, I J

2015-01-01

Intelligence is a core construct in differential psychology and behavioural genetics, and should be so in cognitive neuroscience. It is one of the best predictors of important life outcomes such as education, occupation, mental and physical health and illness, and mortality. Intelligence is one of the most heritable behavioural traits. Here, we highlight five genetic findings that are special to intelligence differences and that have important implications for its genetic architecture and for gene-hunting expeditions. (i) The heritability of intelligence increases from about 20% in infancy to perhaps 80% in later adulthood. (ii) Intelligence captures genetic effects on diverse cognitive and learning abilities, which correlate phenotypically about 0.30 on average but correlate genetically about 0.60 or higher. (iii) Assortative mating is greater for intelligence (spouse correlations ~0.40) than for other behavioural traits such as personality and psychopathology (~0.10) or physical traits such as height and weight (~0.20). Assortative mating pumps additive genetic variance into the population every generation, contributing to the high narrow heritability (additive genetic variance) of intelligence. (iv) Unlike psychiatric disorders, intelligence is normally distributed with a positive end of exceptional performance that is a model for ‘positive genetics'. (v) Intelligence is associated with education and social class and broadens the causal perspectives on how these three inter-correlated variables contribute to social mobility, and health, illness and mortality differences. These five findings arose primarily from twin studies. They are being confirmed by the first new quantitative genetic technique in a century—Genome-wide Complex Trait Analysis (GCTA)—which estimates genetic influence using genome-wide genotypes in large samples of unrelated individuals. Comparing GCTA results to the results of twin studies reveals important insights into the genetic

Multiple Intelligences: The Most Effective Platform for Global 21st Century Educational and Instructional Methodologies

Science.gov (United States)

McFarlane, Donovan A.

2011-01-01

This paper examines the theory of Multiple Intelligences (MI) as the most viable and effective platform for 21st century educational and instructional methodologies based on the understanding of the value of diversity in today's classrooms and educational institutions, the unique qualities and characteristics of individual learners, the…

A study of the influence of nursing education on development of emotional intelligence.

Science.gov (United States)

Shanta, Linda; Gargiulo, Leslie

2014-01-01

The Future of Nursing, Leading Change, Advancing Health (Institute of Medicine 2011) challenged the profession of nursing to assume leadership of interdisciplinary health care teams. Leading these teams requires cognitive ability to manage highly charged and emotional work. Emotional intelligence (EI) is a characteristic necessary to process emotional information for creative problem solving. In addition, emerging evidence indicates there may be an association of nurses' EI and quality patient care (K. Adams et al., 2011). The foundation for development of competencies essential for nursing practice begins with nursing education. This quasi-experimental study investigated if baccalaureate-level nursing education increased the level of EI as operationalized by J. D. Mayer and P. Salovey's (2004) four-branch abilities model. Findings indicated that senior nursing students scored higher on the ability to understand and reason about emotions over pre-nursing students (P emotions (P emotion, the ability to perceive emotion seemed to have declined. This problem requires further research and action through transformed nursing education. Copyright © 2014 Elsevier Inc. All rights reserved.

Programming model for distributed intelligent systems

Science.gov (United States)

Sztipanovits, J.; Biegl, C.; Karsai, G.; Bogunovic, N.; Purves, B.; Williams, R.; Christiansen, T.

1988-01-01

A programming model and architecture which was developed for the design and implementation of complex, heterogeneous measurement and control systems is described. The Multigraph Architecture integrates artificial intelligence techniques with conventional software technologies, offers a unified framework for distributed and shared memory based parallel computational models and supports multiple programming paradigms. The system can be implemented on different hardware architectures and can be adapted to strongly different applications.

A model for Business Intelligence Systems’ Development

Directory of Open Access Journals (Sweden)

Manole VELICANU

2009-01-01

Full Text Available Often, Business Intelligence Systems (BIS require historical data or data collected from var-ious sources. The solution is found in data warehouses, which are the main technology used to extract, transform, load and store data in the organizational Business Intelligence projects. The development cycle of a data warehouse involves lots of resources, time, high costs and above all, it is built only for some specific tasks. In this paper, we’ll present some of the aspects of the BI systems’ development such as: architecture, lifecycle, modeling techniques and finally, some evaluation criteria for the system’s performance.

Intelligent judgements over health risks in a spatial agent-based model.

Science.gov (United States)

Abdulkareem, Shaheen A; Augustijn, Ellen-Wien; Mustafa, Yaseen T; Filatova, Tatiana

2018-03-20

Millions of people worldwide are exposed to deadly infectious diseases on a regular basis. Breaking news of the Zika outbreak for instance, made it to the main media titles internationally. Perceiving disease risks motivate people to adapt their behavior toward a safer and more protective lifestyle. Computational science is instrumental in exploring patterns of disease spread emerging from many individual decisions and interactions among agents and their environment by means of agent-based models. Yet, current disease models rarely consider simulating dynamics in risk perception and its impact on the adaptive protective behavior. Social sciences offer insights into individual risk perception and corresponding protective actions, while machine learning provides algorithms and methods to capture these learning processes. This article presents an innovative approach to extend agent-based disease models by capturing behavioral aspects of decision-making in a risky context using machine learning techniques. We illustrate it with a case of cholera in Kumasi, Ghana, accounting for spatial and social risk factors that affect intelligent behavior and corresponding disease incidents. The results of computational experiments comparing intelligent with zero-intelligent representations of agents in a spatial disease agent-based model are discussed. We present a spatial disease agent-based model (ABM) with agents' behavior grounded in Protection Motivation Theory. Spatial and temporal patterns of disease diffusion among zero-intelligent agents are compared to those produced by a population of intelligent agents. Two Bayesian Networks (BNs) designed and coded using R and are further integrated with the NetLogo-based Cholera ABM. The first is a one-tier BN1 (only risk perception), the second is a two-tier BN2 (risk and coping behavior). We run three experiments (zero-intelligent agents, BN1 intelligence and BN2 intelligence) and report the results per experiment in terms of

Intelligence in early adulthood and midlife physical performance in men

DEFF Research Database (Denmark)

Meincke, Rikke Hodal; Hansen, Åse Marie; Mortensen, Laust Hvas

2016-01-01

The objective of this study was to examine whether associations between intelligence in early adulthood and midlife physical performance in men were mediated by education and leisure-time physical activity. Intelligence correlated positively with later education (r = 0.47) and negatively with phy......The objective of this study was to examine whether associations between intelligence in early adulthood and midlife physical performance in men were mediated by education and leisure-time physical activity. Intelligence correlated positively with later education (r = 0.47) and negatively...... performance, but because intelligence in early adulthood was inversely associated with physical activity, the indirect effects through physical activity were negative. Overall, education and leisure-time physical activity were not strong mediators of the association between early adult intelligence...

Modelling speech intelligibility in adverse conditions

DEFF Research Database (Denmark)

Jørgensen, Søren; Dau, Torsten

2013-01-01

Jørgensen and Dau (J Acoust Soc Am 130:1475-1487, 2011) proposed the speech-based envelope power spectrum model (sEPSM) in an attempt to overcome the limitations of the classical speech transmission index (STI) and speech intelligibility index (SII) in conditions with nonlinearly processed speech...... subjected to phase jitter, a condition in which the spectral structure of the intelligibility of speech signal is strongly affected, while the broadband temporal envelope is kept largely intact. In contrast, the effects of this distortion can be predicted -successfully by the spectro-temporal modulation...... suggest that the SNRenv might reflect a powerful decision metric, while some explicit across-frequency analysis seems crucial in some conditions. How such across-frequency analysis is "realized" in the auditory system remains unresolved....

How social position of origin relates to intelligence and level of education when adjusting for attained social position.

Science.gov (United States)

Sorjonen, Kimmo; Hemmingsson, Tomas; Lundin, Andreas; Melin, Bo

2011-06-01

Intelligence and its relationship to achievement is a classical question within psychology. In accordance with earlier British studies, the present study, based on conscription data and follow-ups for Swedish men born 1949-51 (N = 36,156), found that when adjusting for attained social position, people with a high social position of origin tend to have higher intelligence and level of education than people with a lower social position of origin. These results could be seen to contradict the claim that more merit, at least when operationalized as intelligence or education, is required from people with a low social position of origin in order to attain a certain social level. © 2011 The Authors. Scandinavian Journal of Psychology © 2011 The Scandinavian Psychological Associations.

Comparison of learning models based on mathematics logical intelligence in affective domain

Science.gov (United States)

Widayanto, Arif; Pratiwi, Hasih; Mardiyana

2018-04-01

The purpose of this study was to examine the presence or absence of different effects of multiple treatments (used learning models and logical-mathematical intelligence) on the dependent variable (affective domain of mathematics). This research was quasi experimental using 3x3 of factorial design. The population of this research was VIII grade students of junior high school in Karanganyar under the academic year 2017/2018. Data collected in this research was analyzed by two ways analysis of variance with unequal cells using 5% of significance level. The result of the research were as follows: (1) Teaching and learning with model TS lead to better achievement in affective domain than QSH, teaching and learning with model QSH lead to better achievement in affective domain than using DI; (2) Students with high mathematics logical intelligence have better achievement in affective domain than students with low mathematics logical intelligence have; (3) In teaching and learning mathematics using learning model TS, students with moderate mathematics logical intelligence have better achievement in affective domain than using DI; and (4) In teaching and learning mathematics using learning model TS, students with low mathematics logical intelligence have better achievement in affective domain than using QSH and DI.

Addressing diverse learner preferences and intelligences with emerging technologies: Matching models to online opportunities

Directory of Open Access Journals (Sweden)

Ke Zhang

2009-03-01

Full Text Available This paper critically reviews various learning preferences and human intelligence theories and models with a particular focus on the implications for online learning. It highlights a few key models, Gardner’s multiple intelligences, Fleming and Mills’ VARK model, Honey and Mumford’s Learning Styles, and Kolb’s Experiential Learning Model, and attempts to link them to trends and opportunities in online learning with emerging technologies. By intersecting such models with online technologies, it offers instructors and instructional designers across educational sectors and situations new ways to think about addressing diverse learner needs, backgrounds, and expectations. Learning technologies are important for effective teaching, as are theories and models and theories of learning. We argue that more immense power can be derived from connections between the theories, models and learning technologies. Résumé : Cet article passe en revue de manière critique les divers modèles et théories sur les préférences d’apprentissage et l’intelligence humaine, avec un accent particulier sur les implications qui en découlent pour l’apprentissage en ligne. L’article présente quelques-uns des principaux modèles (les intelligences multiples de Gardner, le modèle VAK de Fleming et Mills, les styles d’apprentissage de Honey et Mumford et le modèle d’apprentissage expérientiel de Kolb et tente de les relier à des tendances et occasions d’apprentissage en ligne qui utilisent les nouvelles technologies. En croisant ces modèles avec les technologies Web, les instructeurs et concepteurs pédagogiques dans les secteurs de l’éducation ou en situation éducationnelle se voient offrir de nouvelles façons de tenir compte des divers besoins, horizons et attentes des apprenants. Les technologies d’apprentissage sont importantes pour un enseignement efficace, tout comme les théories et les modèles d’apprentissage. Nous sommes d�

Inadequate Evidence for Multiple Intelligences, Mozart Effect, and Emotional Intelligence Theories

Science.gov (United States)

Waterhouse, Lynn

2006-01-01

I (Waterhouse, 2006) argued that, because multiple intelligences, the Mozart effect, and emotional intelligence theories have inadequate empirical support and are not consistent with cognitive neuroscience findings, these theories should not be applied in education. Proponents countered that their theories had sufficient empirical support, were…

Intelligent Transportation and Evacuation Planning A Modeling-Based Approach

CERN Document Server

Naser, Arab

2012-01-01

Intelligent Transportation and Evacuation Planning: A Modeling-Based Approach provides a new paradigm for evacuation planning strategies and techniques. Recently, evacuation planning and modeling have increasingly attracted interest among researchers as well as government officials. This interest stems from the recent catastrophic hurricanes and weather-related events that occurred in the southeastern United States (Hurricane Katrina and Rita). The evacuation methods that were in place before and during the hurricanes did not work well and resulted in thousands of deaths. This book offers insights into the methods and techniques that allow for implementing mathematical-based, simulation-based, and integrated optimization and simulation-based engineering approaches for evacuation planning. This book also: Comprehensively discusses the application of mathematical models for evacuation and intelligent transportation modeling Covers advanced methodologies in evacuation modeling and planning Discusses principles a...

#%Applications of artificial intelligence in intelligent manufacturing: a review

Institute of Scientific and Technical Information of China (English)

#

2017-01-01

#%Based on research into the applications of artificial intelligence (AI) technology in the manufacturing industry in recent years, we analyze the rapid development of core technologies in the new era of 'Internet plus AI', which is triggering a great change in the models, means, and ecosystems of the manufacturing industry, as well as in the development of AI. We then propose new models, means, and forms of intelligent manufacturing, intelligent manufacturing system architecture, and intelligent man-ufacturing technology system, based on the integration of AI technology with information communications, manufacturing, and related product technology. Moreover, from the perspectives of intelligent manufacturing application technology, industry, and application demonstration, the current development in intelligent manufacturing is discussed. Finally, suggestions for the appli-cation of AI in intelligent manufacturing in China are presented.

Business Intelligence Modeling in Launch Operations

Science.gov (United States)

Bardina, Jorge E.; Thirumalainambi, Rajkumar; Davis, Rodney D.

2005-01-01

This technology project is to advance an integrated Planning and Management Simulation Model for evaluation of risks, costs, and reliability of launch systems from Earth to Orbit for Space Exploration. The approach builds on research done in the NASA ARC/KSC developed Virtual Test Bed (VTB) to integrate architectural, operations process, and mission simulations for the purpose of evaluating enterprise level strategies to reduce cost, improve systems operability, and reduce mission risks. The objectives are to understand the interdependency of architecture and process on recurring launch cost of operations, provide management a tool for assessing systems safety and dependability versus cost, and leverage lessons learned and empirical models from Shuttle and International Space Station to validate models applied to Exploration. The systems-of-systems concept is built to balance the conflicting objectives of safety, reliability, and process strategy in order to achieve long term sustainability. A planning and analysis test bed is needed for evaluation of enterprise level options and strategies for transit and launch systems as well as surface and orbital systems. This environment can also support agency simulation .based acquisition process objectives. The technology development approach is based on the collaborative effort set forth in the VTB's integrating operations. process models, systems and environment models, and cost models as a comprehensive disciplined enterprise analysis environment. Significant emphasis is being placed on adapting root cause from existing Shuttle operations to exploration. Technical challenges include cost model validation, integration of parametric models with discrete event process and systems simulations. and large-scale simulation integration. The enterprise architecture is required for coherent integration of systems models. It will also require a plan for evolution over the life of the program. The proposed technology will produce

Business intelligence modeling in launch operations

Science.gov (United States)

Bardina, Jorge E.; Thirumalainambi, Rajkumar; Davis, Rodney D.

2005-05-01

The future of business intelligence in space exploration will focus on the intelligent system-of-systems real-time enterprise. In present business intelligence, a number of technologies that are most relevant to space exploration are experiencing the greatest change. Emerging patterns of set of processes rather than organizational units leading to end-to-end automation is becoming a major objective of enterprise information technology. The cost element is a leading factor of future exploration systems. This technology project is to advance an integrated Planning and Management Simulation Model for evaluation of risks, costs, and reliability of launch systems from Earth to Orbit for Space Exploration. The approach builds on research done in the NASA ARC/KSC developed Virtual Test Bed (VTB) to integrate architectural, operations process, and mission simulations for the purpose of evaluating enterprise level strategies to reduce cost, improve systems operability, and reduce mission risks. The objectives are to understand the interdependency of architecture and process on recurring launch cost of operations, provide management a tool for assessing systems safety and dependability versus cost, and leverage lessons learned and empirical models from Shuttle and International Space Station to validate models applied to Exploration. The systems-of-systems concept is built to balance the conflicting objectives of safety, reliability, and process strategy in order to achieve long term sustainability. A planning and analysis test bed is needed for evaluation of enterprise level options and strategies for transit and launch systems as well as surface and orbital systems. This environment can also support agency simulation based acquisition process objectives. The technology development approach is based on the collaborative effort set forth in the VTB's integrating operations, process models, systems and environment models, and cost models as a comprehensive disciplined

Using Software Zelio Soft in Educational Process to Simulation Control Programs for Intelligent Relays

Science.gov (United States)

Michalik, Peter; Mital, Dusan; Zajac, Jozef; Brezikova, Katarina; Duplak, Jan; Hatala, Michal; Radchenko, Svetlana

2016-10-01

Article deals with point to using intelligent relay and PLC systems in practice, to their architecture and principles of programming and simulations for education process on all types of school from secondary to universities. Aim of the article is proposal of simple examples of applications, where is demonstrated methodology of programming on real simple practice examples and shown using of chosen instructions. In practical part is described process of creating schemas and describing of function blocks, where are described methodologies of creating program and simulations of output reactions on changeable inputs for intelligent relays.

Evaluating and Improving Online Intelligence Courses

Directory of Open Access Journals (Sweden)

Dr. Alexandra Luce

2013-08-01

Full Text Available Civilian, military and government institutions offer a wide range of courses on intelligence and are increasingly doing so online. While evaluation and improvement are critical to ensuring quality training and education, there is little research about how to evaluate and improve online intelligence courses. Based on the author’s experience developing and teaching such courses, this article offers four suggestions to those involved in online intelligence training and education: (1 conduct a key assumptions check; (2 ensure the course presentation embodies the principles of intelligence communication; (3 encourage creative freedom; and (4 build in mechanisms for feedback throughout the course.

Etoile Project : Social Intelligent ICT-System for very large scale education in complex systems

Science.gov (United States)

Bourgine, P.; Johnson, J.

2009-04-01

The project will devise new theory and implement new ICT-based methods of delivering high-quality low-cost postgraduate education to many thousands of people in a scalable way, with the cost of each extra student being negligible (Socially Intelligent Resource Mining system to gather large volumes of high quality educational resources from the internet; new methods to deconstruct these to produce a semantically tagged Learning Object Database; a Living Course Ecology to support the creation and maintenance of evolving course materials; systems to deliver courses; and a ‘socially intelligent assessment system'. The system will be tested on one to ten thousand postgraduate students in Europe working towards the Complex System Society's title of European PhD in Complex Systems. Étoile will have a very high impact both scientifically and socially by (i) the provision of new scalable ICT-based methods for providing very low cost scientific education, (ii) the creation of new mathematical and statistical theory for the multiscale dynamics of complex systems, (iii) the provision of a working example of adaptation and emergence in complex socio-technical systems, and (iv) making a major educational contribution to European complex systems science and its applications.

Customer Data Analysis Model using Business Intelligence Tools in Telecommunication Companies

Directory of Open Access Journals (Sweden)

Monica LIA

2015-10-01

Full Text Available This article presents a customer data analysis model in a telecommunication company and business intelligence tools for data modelling, transforming, data visualization and dynamic reports building . For a mature market, knowing the information inside the data and making forecast for strategic decision become more important in Romanian Market. Business Intelligence tools are used in business organization as support for decision making.

Social Media and U.S. Intelligence Agencies: Just Trending or a Real Tool to Engage and Educate?

Directory of Open Access Journals (Sweden)

Michael Landon-Murray

2015-10-01

Full Text Available Social media use has become ubiquitous not just among individuals, groups, and businesses, but also government institutions. In turn, the adoption of services like Facebook and Twitter in the public sector has increasingly become the focus of academic study. U.S. intelligence agencies, however, have been excluded from examination. The potential benefits—engagement, education, and transparency, among others—are significant, and studying how U.S. intelligence uses social media will help us realize those benefits. In the arcane, complex and potentially intrusive world of intelligence, new opportunities to bolster public knowledge and accountability must be utilized. Today, understanding government requires studying e-government, and in intelligence, social media likely represents the most direction connection between citizens and the public agencies that serve them. To take a first step, this study maps how U.S. intelligence agencies are using Facebook and Twitter, examines other social media practices, and presents findings from correspondence with four intelligence and security journalists.

National Water Model: Providing the Nation with Actionable Water Intelligence

Science.gov (United States)

Aggett, G. R.; Bates, B.

2017-12-01

The National Water Model (NWM) provides national, street-level detail of water movement through time and space. Operating hourly, this flood of information offers enormous benefits in the form of water resource management, natural disaster preparedness, and the protection of life and property. The Geo-Intelligence Division at the NOAA National Water Center supplies forecasters and decision-makers with timely, actionable water intelligence through the processing of billions of NWM data points every hour. These datasets include current streamflow estimates, short and medium range streamflow forecasts, and many other ancillary datasets. The sheer amount of NWM data produced yields a dataset too large to allow for direct human comprehension. As such, it is necessary to undergo model data post-processing, filtering, and data ingestion by visualization web apps that make use of cartographic techniques to bring attention to the areas of highest urgency. This poster illustrates NWM output post-processing and cartographic visualization techniques being developed and employed by the Geo-Intelligence Division at the NOAA National Water Center to provide national actionable water intelligence.

Science, Intelligence, and Educational Policy: The Mismeasure of Frankenstein (with Apologies to Mary Shelley and Stephen Jay Gould).

Science.gov (United States)

Zappardino, Pamela

Stephen Jay Gould points out in "The Mismeasure of Man" (1981), "Science, since people must do it, is a socially embedded activity. It progresses by hunch, vision, and intuition." The legacy of the traditional construct of intelligence and its measurement through intelligence quotient (IQ) tests has not been educational improvement. Its legacy in…

International Conference on Computational Intelligence, Cyber Security, and Computational Models

CERN Document Server

Ramasamy, Vijayalakshmi; Sheen, Shina; Veeramani, C; Bonato, Anthony; Batten, Lynn

2016-01-01

This book aims at promoting high-quality research by researchers and practitioners from academia and industry at the International Conference on Computational Intelligence, Cyber Security, and Computational Models ICC3 2015 organized by PSG College of Technology, Coimbatore, India during December 17 – 19, 2015. This book enriches with innovations in broad areas of research like computational modeling, computational intelligence and cyber security. These emerging inter disciplinary research areas have helped to solve multifaceted problems and gained lot of attention in recent years. This encompasses theory and applications, to provide design, analysis and modeling of the aforementioned key areas.

Intelligent Learning Management Systems: Definition, Features and Measurement of Intelligence

Science.gov (United States)

Fardinpour, Ali; Pedram, Mir Mohsen; Burkle, Martha

2014-01-01

Virtual Learning Environments have been the center of attention in the last few decades and help educators tremendously with providing students with educational resources. Since artificial intelligence was used for educational proposes, learning management system developers showed much interest in making their products smarter and more…

Evaluation of Artificial Intelligence Based Models for Chemical Biodegradability Prediction

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Aleksandar Sabljic

2004-12-01

Full Text Available This study presents a review of biodegradability modeling efforts including a detailed assessment of two models developed using an artificial intelligence based methodology. Validation results for these models using an independent, quality reviewed database, demonstrate that the models perform well when compared to another commonly used biodegradability model, against the same data. The ability of models induced by an artificial intelligence methodology to accommodate complex interactions in detailed systems, and the demonstrated reliability of the approach evaluated by this study, indicate that the methodology may have application in broadening the scope of biodegradability models. Given adequate data for biodegradability of chemicals under environmental conditions, this may allow for the development of future models that include such things as surface interface impacts on biodegradability for example.

Education, Socioeconomic Status, and Intelligence in Childhood and Stroke Risk in Later Life: A Meta-analysis.

Science.gov (United States)

McHutchison, Caroline A; Backhouse, Ellen V; Cvoro, Vera; Shenkin, Susan D; Wardlaw, Joanna M

2017-07-01

Stroke is the second most common cause of death, and a common cause of dependency and dementia. Adult vascular risk factors and socioeconomic status (SES) are associated with increased risk, but less is known about early life risk factors, such as education, childhood SES, or intelligence (IQ). We comprehensively searched Medline, PsycINFO, and EMBASE from inception to November 2015. We included all studies reporting data on >50 strokes examining childhood/premorbid IQ, SES, and education. Two reviewers independently screened full texts and extracted and cross-checked data, including available risk factor adjustments. We meta-analyzed stroke risk using hazard ratios (HR), odds ratios (OR), and mean differences (MD). We tested effects of study and participant characteristics in sensitivity analyses and meta-regression, and assessed heterogeneity and publication bias. We identified 90 studies examining stroke risk and education (79), SES (10), or IQ (nine) including approximately 164,683 stroke and over 5 million stroke-free participants. Stroke risk increased with lower education (OR = 1.35, 95% CI = 1.24, 1.48), SES (OR = 1.28, 95% CI = 1.12, 1.46), and IQ (HR = 1.17, 95% CI = 1.00, 1.37) in studies reporting point estimates, with similar associations for MD. We found minimal publication bias. Between-study heterogeneity was partly explained by participant age and case ascertainment method. Education, childhood SES, and intelligence have modest but important associations with lifetime stroke, and hence dementia, risks. Future studies distinguishing between the individual and combined effects of education, childhood SES and intelligence are needed to determine the independent contribution of each factor to stroke risk. See video abstract at, http://links.lww.com/EDE/B210.

Examination of the Effect of Drama Education on Multiple Intelligence Areas of Children

Science.gov (United States)

Köksal Akyol, Aysel

2018-01-01

This study was conducted to determine whether or not drama education causes any difference in the verbal-linguistic, mathematical-logical, visual-spatial, musical-rhythmic, bodily-kinaesthetic, intrapersonal and interpersonal intelligences of children. The sample group of the study consisted of 46 children (23 children in the experimental group…

Vedic Science Based Education and Nonverbal Intelligence: A Preliminary Longitudinal Study in Cambodia.

Science.gov (United States)

Fergusson, Lee C.; And Others

1996-01-01

A study investigated the effects on students' nonverbal intelligence of implementing an approach to higher education based on Vedic science, developed by Maharishi Mahesh Yogi and including transcendental meditation. The approach was implemented in two Cambodian universities and its effects assessed in 70 undergraduate students. An increase in…

Dental ethics and emotional intelligence.

Science.gov (United States)

Rosenblum, Alvin B; Wolf, Steve

2014-01-01

Dental ethics is often taught, viewed, and conducted as an intell enterprise, uninformed by other noncognitive factors. Emotional intelligence (EQ) is defined distinguished from the cognitive intelligence measured by Intelligence Quotient (IQ). This essay recommends more inclusion of emotional, noncognitive input to the ethical decision process in dental education and dental practice.

A Model of Intelligent Fault Diagnosis of Power Equipment Based on CBR

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Gang Ma

2015-01-01

Full Text Available Nowadays the demand of power supply reliability has been strongly increased as the development within power industry grows rapidly. Nevertheless such large demand requires substantial power grid to sustain. Therefore power equipment’s running and testing data which contains vast information underpins online monitoring and fault diagnosis to finally achieve state maintenance. In this paper, an intelligent fault diagnosis model for power equipment based on case-based reasoning (IFDCBR will be proposed. The model intends to discover the potential rules of equipment fault by data mining. The intelligent model constructs a condition case base of equipment by analyzing the following four categories of data: online recording data, history data, basic test data, and environmental data. SVM regression analysis was also applied in mining the case base so as to further establish the equipment condition fingerprint. The running data of equipment can be diagnosed by such condition fingerprint to detect whether there is a fault or not. Finally, this paper verifies the intelligent model and three-ratio method based on a set of practical data. The resulting research demonstrates that this intelligent model is more effective and accurate in fault diagnosis.

Implications of Contemporary Intelligence Theories to Marketing Education

Science.gov (United States)

Muncy, James A.

2006-01-01

In recent years, prominent psychologists have redefined intelligence to refer to one's ability to successfully perform within a sociocultural context. They have also questioned the historical unidimensional conceptualization of intelligence. In this article, the author briefly reviews the history of intelligence research to this point then…

Age versus schooling effects on intelligence development.

Science.gov (United States)

Cahan, S; Cohen, N

1989-10-01

The effect of formal education, as opposed to chronological age, on intelligence development has suffered from inadequate empirical investigation. Most studies of this issue have relied on natural variation in exposure to school among children of the same age, thus confounding differences in schooling with differences in other intelligence-related variables. This difficulty can be overcome by a quasi-experimental paradigm involving comparison between children who differ in both chronological age and schooling. The present study applies this paradigm to the estimation of the independent effects of age and schooling in grades 5 and 6 on raw scores obtained on a variety of general ability tests. The sample included all students in Jerusalem's Hebrew-language, state-controlled elementary schools. The results unambiguously point to schooling as the major factor underlying the increase of intelligence test scores as a function of age and to the larger effect schooling has on verbal than nonverbal tests. These results contribute to our understanding of the causal model underlying intelligence development and call for reconsideration of the conceptual basis underlying the definition of deviation-IQ scores. Some implications of these results concerning the distinction between intelligence and scholastic achievement, the causal model underlying the development of "crystallized" and "fluid" abilities, and the notion of "culture-fair" tests are discussed.

Advanced intelligent systems

CERN Document Server

Ryoo, Young; Jang, Moon-soo; Bae, Young-Chul

2014-01-01

Intelligent systems have been initiated with the attempt to imitate the human brain. People wish to let machines perform intelligent works. Many techniques of intelligent systems are based on artificial intelligence. According to changing and novel requirements, the advanced intelligent systems cover a wide spectrum: big data processing, intelligent control, advanced robotics, artificial intelligence and machine learning. This book focuses on coordinating intelligent systems with highly integrated and foundationally functional components. The book consists of 19 contributions that features social network-based recommender systems, application of fuzzy enforcement, energy visualization, ultrasonic muscular thickness measurement, regional analysis and predictive modeling, analysis of 3D polygon data, blood pressure estimation system, fuzzy human model, fuzzy ultrasonic imaging method, ultrasonic mobile smart technology, pseudo-normal image synthesis, subspace classifier, mobile object tracking, standing-up moti...

A Binaural Grouping Model for Predicting Speech Intelligibility in Multitalker Environments

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Jing Mi

2016-09-01

Full Text Available Spatially separating speech maskers from target speech often leads to a large intelligibility improvement. Modeling this phenomenon has long been of interest to binaural-hearing researchers for uncovering brain mechanisms and for improving signal-processing algorithms in hearing-assistive devices. Much of the previous binaural modeling work focused on the unmasking enabled by binaural cues at the periphery, and little quantitative modeling has been directed toward the grouping or source-separation benefits of binaural processing. In this article, we propose a binaural model that focuses on grouping, specifically on the selection of time-frequency units that are dominated by signals from the direction of the target. The proposed model uses Equalization-Cancellation (EC processing with a binary decision rule to estimate a time-frequency binary mask. EC processing is carried out to cancel the target signal and the energy change between the EC input and output is used as a feature that reflects target dominance in each time-frequency unit. The processing in the proposed model requires little computational resources and is straightforward to implement. In combination with the Coherence-based Speech Intelligibility Index, the model is applied to predict the speech intelligibility data measured by Marrone et al. The predicted speech reception threshold matches the pattern of the measured data well, even though the predicted intelligibility improvements relative to the colocated condition are larger than some of the measured data, which may reflect the lack of internal noise in this initial version of the model.

A Binaural Grouping Model for Predicting Speech Intelligibility in Multitalker Environments.

Science.gov (United States)

Mi, Jing; Colburn, H Steven

2016-10-03

Spatially separating speech maskers from target speech often leads to a large intelligibility improvement. Modeling this phenomenon has long been of interest to binaural-hearing researchers for uncovering brain mechanisms and for improving signal-processing algorithms in hearing-assistive devices. Much of the previous binaural modeling work focused on the unmasking enabled by binaural cues at the periphery, and little quantitative modeling has been directed toward the grouping or source-separation benefits of binaural processing. In this article, we propose a binaural model that focuses on grouping, specifically on the selection of time-frequency units that are dominated by signals from the direction of the target. The proposed model uses Equalization-Cancellation (EC) processing with a binary decision rule to estimate a time-frequency binary mask. EC processing is carried out to cancel the target signal and the energy change between the EC input and output is used as a feature that reflects target dominance in each time-frequency unit. The processing in the proposed model requires little computational resources and is straightforward to implement. In combination with the Coherence-based Speech Intelligibility Index, the model is applied to predict the speech intelligibility data measured by Marrone et al. The predicted speech reception threshold matches the pattern of the measured data well, even though the predicted intelligibility improvements relative to the colocated condition are larger than some of the measured data, which may reflect the lack of internal noise in this initial version of the model. © The Author(s) 2016.

Intelligence and childlessness.

Science.gov (United States)

Kanazawa, Satoshi

2014-11-01

Demographers debate why people have children in advanced industrial societies where children are net economic costs. From an evolutionary perspective, however, the important question is why some individuals choose not to have children. Recent theoretical developments in evolutionary psychology suggest that more intelligent individuals may be more likely to prefer to remain childless than less intelligent individuals. Analyses of the National Child Development Study show that more intelligent men and women express preference to remain childless early in their reproductive careers, but only more intelligent women (not more intelligent men) are more likely to remain childless by the end of their reproductive careers. Controlling for education and earnings does not at all attenuate the association between childhood general intelligence and lifetime childlessness among women. One-standard-deviation increase in childhood general intelligence (15 IQ points) decreases women's odds of parenthood by 21-25%. Because women have a greater impact on the average intelligence of future generations, the dysgenic fertility among women is predicted to lead to a decline in the average intelligence of the population in advanced industrial nations. Copyright © 2014 Elsevier Inc. All rights reserved.

Model Pembelajaran Berbasis Penstimulasian Multiple Intelligences Siswa

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Edy Legowo

2017-03-01

Full Text Available Tulisan ini membahas mengenai penerapan teori multiple intelligences dalam pembelajaran di sekolah. Pembahasan diawali dengan menguraikan perkembangan konsep inteligensi dan multiple intelligences. Diikuti dengan menjelaskan dampak teori multiple intelligences dalam bidang pendidikan dan pembelajaran di sekolah. Bagian selanjutnya menguraikan tentang implementasi teori multiple intelligences dalam praktik pembelajaran di kelas yaitu bagaimana pemberian pengalaman belajar siswa yang difasilitasi guru dapat menstimulasi multiple intelligences siswa. Evaluasi hasil belajar siswa dari pandangan penerapan teori multiple intelligences seharusnya dilakukan menggunakan authentic assessment dan portofolio yang lebih memfasilitasi para siswa mengungkapkan atau mengaktualisasikan hasil belajarnya melalui berbagai cara sesuai dengan kekuatan jenis inteligensinya.

Intelligible Artificial Intelligence

OpenAIRE

Weld, Daniel S.; Bansal, Gagan

2018-01-01

Since Artificial Intelligence (AI) software uses techniques like deep lookahead search and stochastic optimization of huge neural networks to fit mammoth datasets, it often results in complex behavior that is difficult for people to understand. Yet organizations are deploying AI algorithms in many mission-critical settings. In order to trust their behavior, we must make it intelligible --- either by using inherently interpretable models or by developing methods for explaining otherwise overwh...

Considering Moral Intelligence as Part of a Holistic Education

Science.gov (United States)

Clarken, Rodney H.

2010-01-01

Morality and moral intelligence are important in our society and schools. Moral intelligence is discussed in the context of Gardener's theory of multiple intelligences. Moral intelligence helps apply ethical principles to personal goals, values and actions. It consists of four competencies related to integrity, three to responsibility, two to…

Means-End based Functional Modeling for Intelligent Control: Modeling and Experiments with an Industrial Heat Pump System

DEFF Research Database (Denmark)

Saleem, Arshad

2007-01-01

The purpose of this paper is to present a Multilevel Flow Model (MFM) of an industrial heat pump system and its use for diagnostic reasoning. MFM is functional modeling language supporting an explicit means-ends intelligent control strategy for large industrial process plants. The model is used...... in several diagnostic experiments analyzing different fault scenarios. The model and results of the experiments are explained and it is shown how MFM based intelligent modeling and automated reasoning can improve the fault diagnosis process significantly....

Swarm Intelligence for Urban Dynamics Modelling

International Nuclear Information System (INIS)

Ghnemat, Rawan; Bertelle, Cyrille; Duchamp, Gerard H. E.

2009-01-01

In this paper, we propose swarm intelligence algorithms to deal with dynamical and spatial organization emergence. The goal is to model and simulate the developement of spatial centers using multi-criteria. We combine a decentralized approach based on emergent clustering mixed with spatial constraints or attractions. We propose an extension of the ant nest building algorithm with multi-center and adaptive process. Typically, this model is suitable to analyse and simulate urban dynamics like gentrification or the dynamics of the cultural equipment in urban area.

Swarm Intelligence for Urban Dynamics Modelling

Science.gov (United States)

Ghnemat, Rawan; Bertelle, Cyrille; Duchamp, Gérard H. E.

2009-04-01

In this paper, we propose swarm intelligence algorithms to deal with dynamical and spatial organization emergence. The goal is to model and simulate the developement of spatial centers using multi-criteria. We combine a decentralized approach based on emergent clustering mixed with spatial constraints or attractions. We propose an extension of the ant nest building algorithm with multi-center and adaptive process. Typically, this model is suitable to analyse and simulate urban dynamics like gentrification or the dynamics of the cultural equipment in urban area.

Intelligent Hydraulic Actuator and Exp-based Modelling of Losses in Pumps and .

DEFF Research Database (Denmark)

Zhang, Muzhi

A intelligent fuzzy logic self-organising PD+I controller for a gearrotor hydraulic motor was developed and evaluated. Furthermore, a experimental-based modelling methods with a new software tool 'Dynamodata' for modelling of losses in hydraulic motors and pumps was developed.......A intelligent fuzzy logic self-organising PD+I controller for a gearrotor hydraulic motor was developed and evaluated. Furthermore, a experimental-based modelling methods with a new software tool 'Dynamodata' for modelling of losses in hydraulic motors and pumps was developed....

Business intelligence as a tool in the management academic

Directory of Open Access Journals (Sweden)

Juan Jose Camargo Vega

2016-06-01

Full Text Available This paper presents a study, analyze and evaluate characteristics of existing data in the academic community, in order to recommend a model to apply Business Intelligence. It starts from the assumption that knowing the effects on the academic community, if you have a corporate strategy to facilitate decision-making in educational institutions. The results are based on a three dimensional cube, which are combining strong to make decisions with the information made. Finally, we come to different conclusions enabling give sufficient grounds to recommend a model that Integrate Business Intelligence in the academic environment.

The Relationship between Emotional Intelligence and Productive Language Skills

Science.gov (United States)

Genç, Gülten; Kulusakh, Emine; Aydin, Savas

2016-01-01

Emotional intelligence has recently attracted educators' attention around the world. Educators who try to investigate the factors in language learning achievement have decided to pave the way to success through emotional intelligence. The relationship between emotional intelligence and language learning is the major concern of this study. The…

Using Emotional Intelligence and Social Support to Predict Job Performance of Health Educators

Science.gov (United States)

Branscum, Paul; Haider, Taj; Brown, David; Sharma, Manoj

2016-01-01

Background: The theory of emotional intelligence (EI) has been developed to evaluate and highlight the importance of emotional health, especially on job performance. Purpose: No study has examined EI's role on the performance of public health educators; therefore, this study examined the role of EI and social support on the performance of health…

Modeling the prediction of business intelligence system effectiveness.

Science.gov (United States)

Weng, Sung-Shun; Yang, Ming-Hsien; Koo, Tian-Lih; Hsiao, Pei-I

2016-01-01

Although business intelligence (BI) technologies are continually evolving, the capability to apply BI technologies has become an indispensable resource for enterprises running in today's complex, uncertain and dynamic business environment. This study performed pioneering work by constructing models and rules for the prediction of business intelligence system effectiveness (BISE) in relation to the implementation of BI solutions. For enterprises, effectively managing critical attributes that determine BISE to develop prediction models with a set of rules for self-evaluation of the effectiveness of BI solutions is necessary to improve BI implementation and ensure its success. The main study findings identified the critical prediction indicators of BISE that are important to forecasting BI performance and highlighted five classification and prediction rules of BISE derived from decision tree structures, as well as a refined regression prediction model with four critical prediction indicators constructed by logistic regression analysis that can enable enterprises to improve BISE while effectively managing BI solution implementation and catering to academics to whom theory is important.

Modeling speech intelligibility in adverse conditions

DEFF Research Database (Denmark)

Dau, Torsten

2012-01-01

) in conditions with nonlinearly processed speech. Instead of considering the reduction of the temporal modulation energy as the intelligibility metric, as assumed in the STI, the sEPSM applies the signal-to-noise ratio in the envelope domain (SNRenv). This metric was shown to be the key for predicting...... understanding speech when more than one person is talking, even when reduced audibility has been fully compensated for by a hearing aid. The reasons for these difficulties are not well understood. This presentation highlights recent concepts of the monaural and binaural signal processing strategies employed...... by the normal as well as impaired auditory system. Jørgensen and Dau [(2011). J. Acoust. Soc. Am. 130, 1475-1487] proposed the speech-based envelope power spectrum model (sEPSM) in an attempt to overcome the limitations of the classical speech transmission index (STI) and speech intelligibility index (SII...

The Actualization of Literary Learning Model Based on Verbal-Linguistic Intelligence

Science.gov (United States)

Hali, Nur Ihsan

2017-01-01

This article is inspired by Howard Gardner's concept of linguistic intelligence and also from some authors' previous writings. All of them became the authors' reference in developing ideas on constructing a literary learning model based on linguistic intelligence. The writing of this article is not done by collecting data empirically, but by…

On Emotional Intelligence: A Conversation with Daniel Goleman.

Science.gov (United States)

O'Neil, John

1996-01-01

Emotional intelligence involves a cluster of skills, including self-control, zeal, persistence, and self-motivation. Every child must be taught the essentials of handling anger, managing conflicts, developing empathy, and controlling impulses. Schools must help children recognize and manage their emotions. Educators should model emotional…

Intelligence: Real or artificial?

OpenAIRE

Schlinger, Henry D.

1992-01-01

Throughout the history of the artificial intelligence movement, researchers have strived to create computers that could simulate general human intelligence. This paper argues that workers in artificial intelligence have failed to achieve this goal because they adopted the wrong model of human behavior and intelligence, namely a cognitive essentialist model with origins in the traditional philosophies of natural intelligence. An analysis of the word “intelligence” suggests that it originally r...

Intelligent web agents for a 3D virtual community

Science.gov (United States)

Dave, T. M.; Zhang, Yanqing; Owen, G. S. S.; Sunderraman, Rajshekhar

2003-08-01

In this paper, we propose an Avatar-based intelligent agent technique for 3D Web based Virtual Communities based on distributed artificial intelligence, intelligent agent techniques, and databases and knowledge bases in a digital library. One of the goals of this joint NSF (IIS-9980130) and ACM SIGGRAPH Education Committee (ASEC) project is to create a virtual community of educators and students who have a common interest in comptuer graphics, visualization, and interactive techniqeus. In this virtual community (ASEC World) Avatars will represent the educators, students, and other visitors to the world. Intelligent agents represented as specially dressed Avatars will be available to assist the visitors to ASEC World. The basic Web client-server architecture of the intelligent knowledge-based avatars is given. Importantly, the intelligent Web agent software system for the 3D virtual community is implemented successfully.

Examining the Relevance of Emotional Intelligence within Educational Programs for the Gifted and Talented

Science.gov (United States)

Bellamy, Al; Gore, David; Sturgis, Judy

2005-01-01

This study explored the relationships between emotional intelligence, locus of control, and self-efficacy among gifted and talented students participating in a two week long summer educational program. Results revealed statistically significant correlations between these variables. Gender was found to moderate the relationships. The study also…

The Reproduction of Intelligence

Science.gov (United States)

Meisenberg, Gerhard

2010-01-01

Although a negative relationship between fertility and education has been described consistently in most countries of the world, less is known about the relationship between intelligence and reproductive outcomes. Also the paths through which intelligence influences reproductive outcomes are uncertain. The present study uses the NLSY79 to analyze…

Building a functional multiple intelligences theory to advance educational neuroscience.

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Cerruti, Carlo

2013-01-01

A key goal of educational neuroscience is to conduct constrained experimental research that is theory-driven and yet also clearly related to educators' complex set of questions and concerns. However, the fields of education, cognitive psychology, and neuroscience use different levels of description to characterize human ability. An important advance in research in educational neuroscience would be the identification of a cognitive and neurocognitive framework at a level of description relatively intuitive to educators. I argue that the theory of multiple intelligences (MI; Gardner, 1983), a conception of the mind that motivated a past generation of teachers, may provide such an opportunity. I criticize MI for doing little to clarify for teachers a core misunderstanding, specifically that MI was only an anatomical map of the mind but not a functional theory that detailed how the mind actually processes information. In an attempt to build a "functional MI" theory, I integrate into MI basic principles of cognitive and neural functioning, namely interregional neural facilitation and inhibition. In so doing I hope to forge a path toward constrained experimental research that bears upon teachers' concerns about teaching and learning.

Model Pembelajaran Berbasis Penstimulasian Multiple Intelligences Siswa

OpenAIRE

Edy Legowo

2017-01-01

Tulisan ini membahas mengenai penerapan teori multiple intelligences dalam pembelajaran di sekolah. Pembahasan diawali dengan menguraikan perkembangan konsep inteligensi dan multiple intelligences. Diikuti dengan menjelaskan dampak teori multiple intelligences dalam bidang pendidikan dan pembelajaran di sekolah. Bagian selanjutnya menguraikan tentang implementasi teori multiple intelligences dalam praktik pembelajaran di kelas yaitu bagaimana pemberian pengalaman belajar siswa yang difasilita...

Socio-psychological characteristics of the leaders of today's schools: the role of emotional intelligence in building a model of an effective leader

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Mironova S.G.

2017-10-01

Full Text Available The article presents the data of study of expression of emotional intelligence in school leaders. Emotional intelligence, as one of the socio-psychological characteristics of personality, showed the closest relationship with the components of attitude of heads of schools towards his subordinates. In turn, these components of the relationship, in our opinion, represent a modern model of the head of school. The study surveyed 101 head of school from the Moscow region in age from 26 to 65 years males - 8.9 per cent; the Director of schools is 57, the position of Deputy Director of school on teaching and educational work of 44 people, a complex of six methods. One of which is the Author's questionnaire, the study of socio-psychological personality characteristics and components of attitude of heads of schools to subordinates-teachers. The rest EMIN questionnaire D. V. Lyusina, allowing to identify the level of emotional intelligence, the scale of personal anxiety CH. D. Spielberger, L. Y. Hanin, diagnosis of Machiavellianism personality of V. V. Znakov, the scale measure the level of sociability of the individual L.N. Lutoshkina, diagnosis of the tendency to stress G. Jackson. On the basis of obtained results it is concluded that the most important socio-psychological characteristics of personality is the emotional intelligence that allows a supervisor not only to understand their own and others ' emotions, to manage them successfully, but also contribute to the ability to arouse certain feelings in the people around them. Model the relationship of the heads of educational institutions to the staff, includes three components: emotional, behavioral and cognitive. It is suggested that such socio-psychological characteristics of personality as emotional intelligence, manipulative, sociability, anxiety and stress have a close relationship with all components of the attitude of heads of schools for their employees.

Bayesian Model Averaging of Artificial Intelligence Models for Hydraulic Conductivity Estimation

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Nadiri, A.; Chitsazan, N.; Tsai, F. T.; Asghari Moghaddam, A.

2012-12-01

This research presents a Bayesian artificial intelligence model averaging (BAIMA) method that incorporates multiple artificial intelligence (AI) models to estimate hydraulic conductivity and evaluate estimation uncertainties. Uncertainty in the AI model outputs stems from error in model input as well as non-uniqueness in selecting different AI methods. Using one single AI model tends to bias the estimation and underestimate uncertainty. BAIMA employs Bayesian model averaging (BMA) technique to address the issue of using one single AI model for estimation. BAIMA estimates hydraulic conductivity by averaging the outputs of AI models according to their model weights. In this study, the model weights were determined using the Bayesian information criterion (BIC) that follows the parsimony principle. BAIMA calculates the within-model variances to account for uncertainty propagation from input data to AI model output. Between-model variances are evaluated to account for uncertainty due to model non-uniqueness. We employed Takagi-Sugeno fuzzy logic (TS-FL), artificial neural network (ANN) and neurofuzzy (NF) to estimate hydraulic conductivity for the Tasuj plain aquifer, Iran. BAIMA combined three AI models and produced better fitting than individual models. While NF was expected to be the best AI model owing to its utilization of both TS-FL and ANN models, the NF model is nearly discarded by the parsimony principle. The TS-FL model and the ANN model showed equal importance although their hydraulic conductivity estimates were quite different. This resulted in significant between-model variances that are normally ignored by using one AI model.

Extending Galactic Habitable Zone Modeling to Include the Emergence of Intelligent Life.

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Morrison, Ian S; Gowanlock, Michael G

2015-08-01

Previous studies of the galactic habitable zone have been concerned with identifying those regions of the Galaxy that may favor the emergence of complex life. A planet is deemed habitable if it meets a set of assumed criteria for supporting the emergence of such complex life. In this work, we extend the assessment of habitability to consider the potential for life to further evolve to the point of intelligence--termed the propensity for the emergence of intelligent life, φI. We assume φI is strongly influenced by the time durations available for evolutionary processes to proceed undisturbed by the sterilizing effects of nearby supernovae. The times between supernova events provide windows of opportunity for the evolution of intelligence. We developed a model that allows us to analyze these window times to generate a metric for φI, and we examine here the spatial and temporal variation of this metric. Even under the assumption that long time durations are required between sterilizations to allow for the emergence of intelligence, our model suggests that the inner Galaxy provides the greatest number of opportunities for intelligence to arise. This is due to the substantially higher number density of habitable planets in this region, which outweighs the effects of a higher supernova rate in the region. Our model also shows that φI is increasing with time. Intelligent life emerged at approximately the present time at Earth's galactocentric radius, but a similar level of evolutionary opportunity was available in the inner Galaxy more than 2 Gyr ago. Our findings suggest that the inner Galaxy should logically be a prime target region for searches for extraterrestrial intelligence and that any civilizations that may have emerged there are potentially much older than our own.

Molecular genetic contributions to socioeconomic status and intelligence.

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Marioni, Riccardo E; Davies, Gail; Hayward, Caroline; Liewald, Dave; Kerr, Shona M; Campbell, Archie; Luciano, Michelle; Smith, Blair H; Padmanabhan, Sandosh; Hocking, Lynne J; Hastie, Nicholas D; Wright, Alan F; Porteous, David J; Visscher, Peter M; Deary, Ian J

2014-05-01

Education, socioeconomic status, and intelligence are commonly used as predictors of health outcomes, social environment, and mortality. Education and socioeconomic status are typically viewed as environmental variables although both correlate with intelligence, which has a substantial genetic basis. Using data from 6815 unrelated subjects from the Generation Scotland study, we examined the genetic contributions to these variables and their genetic correlations. Subjects underwent genome-wide testing for common single nucleotide polymorphisms (SNPs). DNA-derived heritability estimates and genetic correlations were calculated using the 'Genome-wide Complex Trait Analyses' (GCTA) procedures. 21% of the variation in education, 18% of the variation in socioeconomic status, and 29% of the variation in general cognitive ability was explained by variation in common SNPs (SEs ~ 5%). The SNP-based genetic correlations of education and socioeconomic status with general intelligence were 0.95 (SE 0.13) and 0.26 (0.16), respectively. There are genetic contributions to intelligence and education with near-complete overlap between common additive SNP effects on these traits (genetic correlation ~ 1). Genetic influences on socioeconomic status are also associated with the genetic foundations of intelligence. The results are also compatible with substantial environmental contributions to socioeconomic status.

The Theory of Multiple Intelligences.

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Gardner, Howard

1987-01-01

The multiple intelligence theory is based on cultural contexts, biological analysis, developmental theories, and a vertical theory of faculties. Seven intelligences are identified: linguistic, logical mathematical, musical, spatial, bodily kinesthetic, interpersonal, and intrapersonal. The theory's educational implications are described,…

Pendidikan Islam dalam konsep prophetic intelligence

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Hayat

2014-09-01

Full Text Available Intelligence has connectivity to the educational process as a concrete step in the development of human character as caliph in the world to think of all God ‘s creation. Islamic education teaches a life of meaning to the concept of “amar ma’ruf nahi mungkar”. It is really clear that various concepts in Islamic education are not adjusted enough with the development period that is increasingly sophisticated and globalized. Islamic civilization has been built since the Prophet Muhammad SAW, and other thinkers in teaching a sense of knowledge that is based on Al- Quran and Al - Hadits as the main guideline. Prophetic Intelligence provides illustration that in transforming education through the concrete steps for being “insan Kamil” that is “rahmatan lil alamin”. Intelligence Prophetic provides illustration that in transforming education through the concrete steps for being ‘Insan Kamil’ that is ‘rahmatan lil alamin’.

The Validity of the earth and space science learning materials with orientation on multiple intelligences and character education

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Liliawati, W.; Utama, J. A.; Ramalis, T. R.; Rochman, A. A.

2018-03-01

Validation of the Earth and Space Science learning the material in the chapter of the Earth's Protector based on experts (media & content expert and practitioners) and junior high school students' responses are presented. The data came from the development phase of the 4D method (Define, Design, Develop, Dissemination) which consist of two steps: expert appraisal and developmental testing. The instrument employed is rubric of suitability among the book contents with multiple intelligences activities, character education, a standard of book assessment, a questionnaires and close procedure. The appropriateness of the book contents with multiple intelligences, character education and standard of book assessment is in a good category. Meanwhile, students who used the book in their learning process gave a highly positive response; the book was easy to be understood. In general, the result of cloze procedure indicates high readability of the book. As our conclusion is the book chapter of the Earth's Protector can be used as a learning material accommodating students’ multiple intelligences and character internalization.

Dynamic intelligent cleaning model of dirty electric load data

International Nuclear Information System (INIS)

Zhang Xiaoxing; Sun Caixin

2008-01-01

There are a number of dirty data in the load database derived from the supervisory control and data acquisition (SCADA) system. Thus, the data must be carefully and reasonably adjusted before it is used for electric load forecasting or power system analysis. This paper proposes a dynamic and intelligent data cleaning model based on data mining theory. Firstly, on the basis of fuzzy soft clustering, the Kohonen clustering network is improved to fulfill the parallel calculation of fuzzy c-means soft clustering. Then, the proposed dynamic algorithm can automatically find the new clustering center (the characteristic curve of the data) with the updated sample data; At last, it is composed with radial basis function neural network (RBFNN), and then, an intelligent adjusting model is proposed to identify the dirty data. The rapid and dynamic performance of the model makes it suitable for real time calculation, and the efficiency and accuracy of the model is proved by test results of electrical load data analysis in Chongqing

Swarm Intelligence-Based Hybrid Models for Short-Term Power Load Prediction

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Jianzhou Wang

2014-01-01

Full Text Available Swarm intelligence (SI is widely and successfully applied in the engineering field to solve practical optimization problems because various hybrid models, which are based on the SI algorithm and statistical models, are developed to further improve the predictive abilities. In this paper, hybrid intelligent forecasting models based on the cuckoo search (CS as well as the singular spectrum analysis (SSA, time series, and machine learning methods are proposed to conduct short-term power load prediction. The forecasting performance of the proposed models is augmented by a rolling multistep strategy over the prediction horizon. The test results are representative of the out-performance of the SSA and CS in tuning the seasonal autoregressive integrated moving average (SARIMA and support vector regression (SVR in improving load forecasting, which indicates that both the SSA-based data denoising and SI-based intelligent optimization strategy can effectively improve the model’s predictive performance. Additionally, the proposed CS-SSA-SARIMA and CS-SSA-SVR models provide very impressive forecasting results, demonstrating their strong robustness and universal forecasting capacities in terms of short-term power load prediction 24 hours in advance.

Dynamical Intention: Integrated Intelligence Modeling for Goal-directed Embodied Agents

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Eric Aaron

2016-11-01

Full Text Available Intelligent embodied robots are integrated systems: As they move continuously through their environments, executing behaviors and carrying out tasks, components for low-level and high-level intelligence are integrated in the robot's cognitive system, and cognitive and physical processes combine to create their behavior. For a modeling framework to enable the design and analysis of such integrated intelligence, the underlying representations in the design of the robot should be dynamically sensitive, capable of reflecting both continuous motion and micro-cognitive influences, while also directly representing the necessary beliefs and intentions for goal-directed behavior. In this paper, a dynamical intention-based modeling framework is presented that satisfies these criteria, along with a hybrid dynamical cognitive agent (HDCA framework for employing dynamical intentions in embodied agents. This dynamical intention-HDCA (DI-HDCA modeling framework is a fusion of concepts from spreading activation networks, hybrid dynamical system models, and the BDI (belief-desire-intention theory of goal-directed reasoning, adapted and employed unconventionally to meet entailments of environment and embodiment. The paper presents two kinds of autonomous agent learning results that demonstrate dynamical intentions and the multi-faceted integration they enable in embodied robots: with a simulated service robot in a grid-world office environment, reactive-level learning minimizes reliance on deliberative-level intelligence, enabling task sequencing and action selection to be distributed over both deliberative and reactive levels; and with a simulated game of Tag, the cognitive-physical integration of an autonomous agent enables the straightforward learning of a user-specified strategy during gameplay, without interruption to the game. In addition, the paper argues that dynamical intentions are consistent with cognitive theory underlying goal-directed behavior, and

"Intelligences That Plants Can Pass On": Play Dough, Fun and Teaching Strategies with Insights to Multiple Intelligences

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Laughlin, Kevin; Foley, Andi

2012-01-01

The "Intelligences That Plants Can Pass On" is an activity that involves several of Gardner's Multiple Intelligences and was designed for demonstrating the practical use of Multiple Intelligences in delivering education programs to all ages of learners. Instructions are provided for how to implement this activity, and the activity is linked to…

Evaluation of a preschool nutrition education program based on the theory of multiple intelligences.

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Cason, K L

2001-01-01

This report describes the evaluation of a preschool nutrition education program based on the theory of multiple intelligences. Forty-six nutrition educators provided a series of 12 lessons to 6102 preschool-age children. The program was evaluated using a pretest/post-test design to assess differences in fruit and vegetable identification, healthy snack choices, willingness to taste foods, and eating behaviors. Subjects showed significant improvement in food identification and recognition, healthy snack identification, willingness to taste foods, and frequency of fruit, vegetable, meat, and dairy consumption. The evaluation indicates that the program was an effective approach for educating preschool children about nutrition.

An Analytical Model / Emotional Intelligence Quotient and QOL in Mothers with Infants in Japan.

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Ohashi, Junko; Katsura, Toshiki; Hoshino, Akiko; Usui, Kanae

2013-01-01

The purpose of this study was to examine the relationship between the emotional intelligence quotient and health-related quality of life using structural equation modeling. A self-administered questionnaire survey was conducted among 1,911 mothers who visited the Health Center for an infant medical examination. A hypothetical model was constructed using variables of the emotional intelligence quotient, social support, coping, parenting stress, and perceived health competence. There were a total of 1,104 valid responses (57.8%). Significant standardized estimates were obtained, confirming the goodness of fit issues with the model. The emotional intelligence quotient had a strong impact on physical and psychological quality of life, and showed the greatest association with coping. This study differed from previous studies in that, due to the inclusion of social support and explanatory variables in coping, an increase in coping strategies was more highly associated with emotional intelligence quotient levels than with social support. An enhanced emotional intelligence quotient should be considered a primary objective to promote the health of mothers with infant children.

Intelligent model-based diagnostics for vehicle health management

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Luo, Jianhui; Tu, Fang; Azam, Mohammad S.; Pattipati, Krishna R.; Willett, Peter K.; Qiao, Liu; Kawamoto, Masayuki

2003-08-01

The recent advances in sensor technology, remote communication and computational capabilities, and standardized hardware/software interfaces are creating a dramatic shift in the way the health of vehicles is monitored and managed. These advances facilitate remote monitoring, diagnosis and condition-based maintenance of automotive systems. With the increased sophistication of electronic control systems in vehicles, there is a concomitant increased difficulty in the identification of the malfunction phenomena. Consequently, the current rule-based diagnostic systems are difficult to develop, validate and maintain. New intelligent model-based diagnostic methodologies that exploit the advances in sensor, telecommunications, computing and software technologies are needed. In this paper, we will investigate hybrid model-based techniques that seamlessly employ quantitative (analytical) models and graph-based dependency models for intelligent diagnosis. Automotive engineers have found quantitative simulation (e.g. MATLAB/SIMULINK) to be a vital tool in the development of advanced control systems. The hybrid method exploits this capability to improve the diagnostic system's accuracy and consistency, utilizes existing validated knowledge on rule-based methods, enables remote diagnosis, and responds to the challenges of increased system complexity. The solution is generic and has the potential for application in a wide range of systems.

Remote Control of an Inverted Pendulum System for Intelligent Control Education

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Seul Jung

2011-08-01

Full Text Available This paper presents a remote control task of an inverted pendulum system for intelligent control education. The inverted pendulum moving on the guided rail is required to maintain balancing while it follows the desired trajectory commanded remotely by a joystick operated by a user. Position commands for the inverted pendulum system are given by a joystick through the network. The inverted pendulum system is controlled by a neural network control method. The corresponding control results are confirmed through experimental studies.

The Construction of Intelligent English Teaching Model Based on Artificial Intelligence

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Xiaoguang Li

2017-12-01

Full Text Available In order to build a modernized tool platform that can help students improve their English learning efficiency according to their mastery of knowledge and personality, this paper develops an online intelligent English learning system that uses Java and artificial intelligence language Prolog as the software system. This system is a creative reflection of the thoughts of expert system in artificial intelligence. Established on the Struts Spring Hibernate lightweight JavaEE framework, the system modules are coupled with each other in a much lower degree, which is convenient to future function extension. Combined with the idea of expert system in artificial intelligence, the system developed appropriate learning strategies to help students double the learning effect with half the effort; Finally, the system takes into account the forgetting curve of memory, on which basis the knowledge that has been learned will be tested periodically, intending to spare students’ efforts to do a sea of exercises and obtain better learning results.

ARTIFICIAL AND NATURAL INTELLIGENCE IN ANTHROPOGENIC EDUCATIONAL ENVIRONMENTS

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Sergey F. Sergeev

2013-01-01

Full Text Available In the present article we show the link between both artificial and natural intelligence and the system’s complexity during the life-cycle. Autopoetic’s type of living systems determines the differences between natural and artificial intelligence; artificial environments have an influence to the intelligence abilities development. We present the «diffusion intellect» concept where the diffusion intellect is considered as a synergistic unity of natural and artificial intellect in organized environments. 

A novel AIDS/HIV intelligent medical consulting system based on expert systems.

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Ebrahimi, Alireza Pour; Toloui Ashlaghi, Abbas; Mahdavy Rad, Maryam

2013-01-01

The purpose of this paper is to propose a novel intelligent model for AIDS/HIV data based on expert system and using it for developing an intelligent medical consulting system for AIDS/HIV. In this descriptive research, 752 frequently asked questions (FAQs) about AIDS/HIV are gathered from numerous websites about this disease. To perform the data mining and extracting the intelligent model, the 6 stages of Crisp method has been completed for FAQs. The 6 stages include: Business understanding, data understanding, data preparation, modelling, evaluation and deployment. C5.0 Tree classification algorithm is used for modelling. Also, rational unified process (RUP) is used to develop the web-based medical consulting software. Stages of RUP are as follows: Inception, elaboration, construction and transition. The intelligent developed model has been used in the infrastructure of the software and based on client's inquiry and keywords related FAQs are displayed to the client, according to the rank. FAQs' ranks are gradually determined considering clients reading it. Based on displayed FAQs, test and entertainment links are also displayed. The accuracy of the AIDS/HIV intelligent web-based medical consulting system is estimated to be 78.76%. AIDS/HIV medical consulting systems have been developed using intelligent infrastructure. Being equipped with an intelligent model, providing consulting services on systematic textual data and providing side services based on client's activities causes the implemented system to be unique. The research has been approved by Iranian Ministry of Health and Medical Education for being practical.

Intelligent power plant simulator for educational purposes

International Nuclear Information System (INIS)

Seifi, A.; Seifi, H.; Ansari, M. R.; Parsa Moghaddam, M.

2001-01-01

An Intelligent Tutoring System can be effectively employed for a power plant simulator so that the need for instructor in minimized. In this paper using the above concept as well as object oriented programming and SIMULINK Toolbox of MATLAB, an intelligent tutoring power plant simulator is proposed. Its successful application on a typical 11 MW power plant is demonstrated

Academic Self-Efficacy, Emotional Intelligence, GPA and Academic Procrastination in Higher Education

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Meirav Hen

2014-05-01

Full Text Available Academic procrastination has been seen as an impediment to students' academic success because it decreases the quality and quantity of learning while increasing the severity of negative outcomes in students’ lives. Research findings suggest that academic procrastination is closely related to motivation variables such as self-efficacy and self-regulated learning, and with higher levels of anxiety, stress, and illness. Emotional Intelligence is the ability to assess, regulate, and utilize emotions. It has been found to be associated with academic self-efficacy and a variety of better outcomes, including academic performance. The purpose of the present study was to explore and provide an initial understanding to the relationships between emotional intelligence, academic procrastination and GPA, as mediated by academic selfefficacy. A convenience sampling of 287 college students was collected. Structural equation modeling analysis using AMOS was conducted to examine the mediation role of academic selfefficacy between emotional intelligence, procrastination and GPA. Findings indicated that Emotional intelligence has a negative indirect effect on academic procrastination and a positive indirect effect on academic performance. Further research is needed to explore the effect of emotional intelligence on academic procrastination and performance, and to further understand its implications for academic settings.

Gains in Life Expectancy Associated with Higher Education in Men.

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Bijwaard, Govert E; van Poppel, Frans; Ekamper, Peter; Lumey, L H

2015-01-01

Many studies show large differences in life expectancy across the range of education, intelligence, and socio-economic status. As educational attainment, intelligence, and socio-economic status are highly interrelated, appropriate methods are required to disentangle their separate effects. The aim of this paper is to present a novel method to estimate gains in life expectancy specifically associated with increased education. Our analysis is based on a structural model in which education level, IQ at age 18 and mortality all depend on (latent) intelligence. The model allows for (selective) educational choices based on observed factors and on an unobserved factor capturing intelligence. Our estimates are based on information from health examinations of military conscripts born in 1944-1947 in The Netherlands and their vital status through age 66 (n = 39,798). Our empirical results show that men with higher education have lower mortality. Using structural models to account for education choice, the estimated gain in life expectancy for men moving up one educational level ranges from 0.3 to 2 years. The estimated gain in months alive over the observational period ranges from -1.2 to 5.7 months. The selection effect is positive and amounts to a gain of one to two months. Decomposition of the selection effect shows that the gain from selection on (latent) intelligence is larger than the gain from selection on observed factors and amounts to 1.0 to 1.7 additional months alive. Our findings confirm the strong selection into education based on socio-economic status and intelligence. They also show significant higher life expectancy among individuals with higher education after the selectivity of education choice has been taken into account. Based on these estimates, it is plausible therefore that increases in education could lead to increases in life expectancy.

The effect of learning models and emotional intelligence toward students learning outcomes on reaction rate

Science.gov (United States)

Sutiani, Ani; Silitonga, Mei Y.

2017-08-01

This research focused on the effect of learning models and emotional intelligence in students' chemistry learning outcomes on reaction rate teaching topic. In order to achieve the objectives of the research, with 2x2 factorial research design was used. There were two factors tested, namely: the learning models (factor A), and emotional intelligence (factor B) factors. Then, two learning models were used; problem-based learning/PBL (A1), and project-based learning/PjBL (A2). While, the emotional intelligence was divided into higher and lower types. The number of population was six classes containing 243 grade X students of SMAN 10 Medan, Indonesia. There were 15 students of each class were chosen as the sample of the research by applying purposive sampling technique. The data were analyzed by applying two-ways analysis of variance (2X2) at the level of significant α = 0.05. Based on hypothesis testing, there was the interaction between learning models and emotional intelligence in students' chemistry learning outcomes. Then, the finding of the research showed that students' learning outcomes in reaction rate taught by using PBL with higher emotional intelligence is higher than those who were taught by using PjBL. There was no significant effect between students with lower emotional intelligence taught by using both PBL and PjBL in reaction rate topic. Based on the finding, the students with lower emotional intelligence were quite hard to get in touch with other students in group discussion.

Efficacy in Teaching through "Multiple Intelligence" Instructional Strategies

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Tamilselvi, B.; Geetha, D.

2015-01-01

Multiple intelligence is the theory that "people are smart in more ways than one has immense implication for educators". Howard Gardner proposed a new view of intelligence that is rapidly being incorporated in school curricula. In his theory of Multiple Intelligences, Gardner expanded the concept of intelligence with such areas as music,…

Outsmarting IQ: The Emerging Science of Learnable Intelligence.

Science.gov (United States)

Perkins, David

Pychologists, educators, and others have challenged the idea of a fixed IQ. This book uses recent research and earlier discoveries to argue that intelligence is not genetically set. Noting that the idea of learnable intelligence reflects the belief that intelligence can be taught, the book outlines a theory of learnable intelligence, including…

Intelligence analysis – the royal discipline of Competitive Intelligence

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František Bartes

2011-01-01

Full Text Available The aim of this article is to propose work methodology for Competitive Intelligence teams in one of the intelligence cycle’s specific area, in the so-called “Intelligence Analysis”. Intelligence Analysis is one of the stages of the Intelligence Cycle in which data from both the primary and secondary research are analyzed. The main result of the effort is the creation of added value for the information collected. Company Competiitve Intelligence, correctly understood and implemented in business practice, is the “forecasting of the future”. That is forecasting about the future, which forms the basis for strategic decisions made by the company’s top management. To implement that requirement in corporate practice, the author perceives Competitive Intelligence as a systemic application discipline. This approach allows him to propose a “Work Plan” for Competitive Intelligence as a fundamental standardized document to steer Competitive Intelligence team activities. The author divides the Competitive Intelligence team work plan into five basic parts. Those parts are derived from the five-stage model of the intelligence cycle, which, in the author’s opinion, is more appropriate for complicated cases of Competitive Intelligence.

Intelligent Learning System using cognitive science theory and artificial intelligence methods

Energy Technology Data Exchange (ETDEWEB)

Cristensen, D.L.

1986-01-01

This dissertation is a presentation of a theoretical model of an intelligent Learning System (ILS). The approach view intelligent computer-based instruction on a curricular-level and educational-theory base, instead of the conventional instructional-only level. The ILS is divided into two components: (1) macro-level, curricular; and (2) micro-level (MAIS), instructional. The primary purpose of the ILS macro level is to establish the initial conditions of learning by considering individual difference variables within specification of the curriculum content domain. Second, the ILS macro-level will iteratively update the conditions of learning as the individual student progresses through the given curriculum. The term dynamic is used to describe the expert tutor that establishes and monitors the conditions of instruction between the ILS macro level and the micro level. As the student progresses through the instruction, appropriate information is sent back continuously to the macro level to constantly improve decision making for succeeding conditions of instruction.

Artificial Intelligence Software Engineering (AISE) model

Science.gov (United States)

Kiss, Peter A.

1990-01-01

The American Institute of Aeronautics and Astronautics has initiated a committee on standards for Artificial Intelligence. Presented are the initial efforts of one of the working groups of that committee. A candidate model is presented for the development life cycle of knowledge based systems (KBSs). The intent is for the model to be used by the aerospace community and eventually be evolved into a standard. The model is rooted in the evolutionary model, borrows from the spiral model, and is embedded in the standard Waterfall model for software development. Its intent is to satisfy the development of both stand-alone and embedded KBSs. The phases of the life cycle are shown and detailed as are the review points that constitute the key milestones throughout the development process. The applicability and strengths of the model are discussed along with areas needing further development and refinement by the aerospace community.

The relationship between emotional intelligence and transformational-transactional leadership style among the heads of nursing education departments in Iranian medical universities, 2012

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2014-01-01

Full Text Available Background and objectives: Emotional intelligence contributes to the success in leadership, especially among nursing managers. This study sought to determine the relationship between the components of emotional intelligence and transformational-transactional leadership style among the heads of nursing education departments of Iranian medical universities.Methods: This cross-sectional study used convenience sampling to select the managers of 68 nursing education departments from the country’s universities of medical sciences. Data were collected using the Bar-On Emotional Quotient Inventory and Bass’s Multifactor Leadership Questionnaire. Data analysis was performed with Pearson’s correlation coefficient, analysis of variance, and Student’s test in SPSS version 16.0.Results: There was a direct, positive correlation between emotional intelligence and leadership style (P < 0.05 r = 0.36. The components of problem solving, happiness, independence, self-actualization, emotional self-awareness, interpersonal relationship, optimism, and accountability showed significant correlations with all leadership styles. However, impulse control was not significantly correlation with any of the leadership styles.Conclusion: Considering the significant positive correlation between the components of emotional intelligence and leadership styles, training about emotional intelligence and its components and reinforcing the components of emotional intelligence can be beneficial to presenting leadership styles and thus more successful management.

A study on effect of big five personality traits on emotional intelligence

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Hamed Dehghanan

2014-06-01

Full Text Available This paper presents a study to investigate the effects of big five personal traits on emotional intelligence on some Iranian firms located in city of Tehran, Iran. The proposed study uses two questionnaires, one, which is originally developed by McCare and Costa (1992 [McCrae, R. R., & Costa, P. T., Jr. (1992. Discriminant validity of NEO-PI-R facet scales. Educational and Psychological Measurement, 52, 229-237.] for measuring personality traits and the other, which is used for measuring emotional intelligence . The first questionnaire consists of five personal categories including extraversion, agreeableness, conscientiousness, emotional stability versus neuroticism, and openness. Using structural equation modeling and stepwise regression model, the study has detected a positive and meaningful relationship between four components namely, extraversion, agreeableness, conscientiousness as well as openness and emotional intelligence. In addition, the study detects a negative and meaningful relationship between neuroticism and emotional intelligence.

Thinking style preference, emotional intelligence and leadership effectiveness

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Tessie H. Herbst

2008-04-01

Full Text Available In this study, the researchers investigate the relationship between thinking style preference, emotional intelligence and leadership effectiveness in an institution of higher education. The measuring instruments used were the Neethling Brain Preference Profle (NBPP and the Mayer, Salovey and Caruso Emotional Intelligence Test (MSCEIT, as well as the Kouzes and Posner Leadership Practices Inventory (LPI. The sample comprised 138 managers within a higher education institution. The researchers found some evidence to support the relationship between thinking style, emotional intelligence (EI and leadership effectiveness. The researchers concluded that facets of brain dominance and emotional intelligence may be potentially useful predictors of transformational leadership behaviours.

Intelligence or years of education: which is better correlated with memory function in normal elderly Japanese subjects?

Science.gov (United States)

Murayama, Norio; Iseki, Eizo; Tagaya, Hirokuni; Ota, Kazumi; Kasanuki, Koji; Fujishiro, Hiroshige; Arai, Heii; Sato, Kiyoshi

2013-03-01

We compared differences in intelligence and memory function between normal elderly Japanese subjects with more years of education and those with fewer years of education. We also investigated clinical and neuropsychological factors that are strongly correlated with memory function. There were 118 normal elderly subjects who underwent the Mini-Mental State Examination, Wechsler Adult Intelligence Scale, 3rd edition (WAIS-III), and Wechsler Memory Scale Revised. Subjects with at least 13 years of education were categorized as the H group, and those with 12 years of education or less were categorized as the L group. Age and Mini-Mental State Examination scores were not significantly different between the two groups. On the WAIS-III, there were significant differences between the two groups in Verbal IQ and Full Scale IQ. On the Wechsler Memory Scale Revised, there were significant differences between the two groups in Visual Memory, General Memory, and Delayed Recall. Correlation coefficients between memory function and the other factors demonstrated significant but weak correlations between years of education and General Memory (R = 0.22) and between years of education and Delayed Recall (R = 0.20). Strong correlations were found between Verbal IQ and Verbal Memory (R = 0.45), between Verbal IQ and General Memory (R = 0.49), between Full Scale IQ and General Memory (R = 0.50) and between Full Scale IQ and Delayed Recall (R = 0.48). In normal elderly Japanese subjects, years of education weakly correlated with memory function while Verbal IQ, Full Scale IQ and Verbal Comprehension on WAIS-III had stronger correlations with memory function. Verbal IQ and Verbal Comprehension on WAIS-III were found to be insusceptible to the cognitive decline characteristic of Alzheimer's disease or amnestic mild cognitive impairment. Therefore, verbal intelligence, as measured by Verbal IQ and Verbal Comprehension, may be the most useful factor for inferring premorbid memory function

World modeling for cooperative intelligent vehicles

NARCIS (Netherlands)

Papp, Z.; Brown, C.; Bartels, C.

2008-01-01

Cooperative intelligent vehicle systems constitute a promising way to improving traffic throughput, safety and comfort. The state-of-the-art intelligent-vehicle applications usually can be described as a collection of interacting, highly autonomous, complex dynamical systems (the individual

Organizing intelligence: development of behavioral science and the research based model of business education.

Science.gov (United States)

Bottom, William P

2009-01-01

Conventional history of the predominant, research-based model of business education (RBM) traces its origins to programs initiated by the Ford Foundation after World War II. This paper maps the elite network responsible for developing behavioral science and the Ford Foundation agenda. Archival records of the actions taken by central nodes in the network permit identification of the original vision statement for the model. Analysis also permits tracking progress toward realizing that vision over several decades. Behavioral science was married to business education from the earliest stages of development. The RBM was a fundamental promise made by advocates for social science funding. Appraisals of the model and recommendations for reform must address its full history, not the partial, distorted view that is the conventional account. Implications of this more complete history for business education and for behavioral theory are considered.

Knowing the Brazilian Atlantic Rainforest in childhood: a contribution of the theory of multiple intelligence for environmental education

Directory of Open Access Journals (Sweden)

Valerie Nicollier

2009-12-01

Full Text Available This study is grounded in the cognitive sciences and represents a comprehensive inquiry into children's environmental knowledge. It started with an investigation of a specific situation: studying an urban population – stigmatized by a history of local environmental destruction, unconsciously wrought upon an area that is nowadays acknowledged as a natural biodiversity hotspot, the Brazilian Atlantic Rainforest. Based on the Multiple Intelligence Theory (MIT, that describes the presence of several intelligences in human beings, including a naturalist intelligence, this study aimed at improving the understanding of abilities related to environmental knowledge and the differentiation of such abilities from other ways of knowing usually valued in mainstream education. Forty-five (45 students of a primary school located in south Bahia, Brazil, their teachers, and their parents participated in this investigation between 2002 to 2004. Results suggest that the cognitive domains which are subjacent to environmental knowledge are place specific and need to be stimulated in primary schools by formulating more attractive, efficient, and innovative environmental educational methodologies.

The impact of a multiple intelligences teaching approach drug education programme on drug refusal skills of Nigerian pupils.

Science.gov (United States)

Nwagu, Evelyn N; Ezedum, Chuks E; Nwagu, Eric K N

2015-09-01

The rising incidence of drug abuse among youths in Nigeria is a source of concern for health educators. This study was carried out on primary six pupils to determine the effect of a Multiple Intelligences Teaching Approach Drug Education Programme (MITA-DEP) on pupils' acquisition of drug refusal skills. A programme of drug education based on the Multiple Intelligences Teaching Approach (MITA) was developed. An experimental group was taught using this programme while a control group was taught using the same programme but developed based on the Traditional Teaching Approach. Pupils taught with the MITA acquired more drug refusal skills than those taught with the Traditional Teaching Approach. Urban pupils taught with the MITA acquired more skills than rural pupils. There was no statistically significant difference in the mean refusal skills of male and female pupils taught with the MITA. © The Author(s) 2014.

Evaluating the Risk of Metabolic Syndrome Based on an Artificial Intelligence Model

Directory of Open Access Journals (Sweden)

Hui Chen

2014-01-01

Full Text Available Metabolic syndrome is worldwide public health problem and is a serious threat to people's health and lives. Understanding the relationship between metabolic syndrome and the physical symptoms is a difficult and challenging task, and few studies have been performed in this field. It is important to classify adults who are at high risk of metabolic syndrome without having to use a biochemical index and, likewise, it is important to develop technology that has a high economic rate of return to simplify the complexity of this detection. In this paper, an artificial intelligence model was developed to identify adults at risk of metabolic syndrome based on physical signs; this artificial intelligence model achieved more powerful capacity for classification compared to the PCLR (principal component logistic regression model. A case study was performed based on the physical signs data, without using a biochemical index, that was collected from the staff of Lanzhou Grid Company in Gansu province of China. The results show that the developed artificial intelligence model is an effective classification system for identifying individuals at high risk of metabolic syndrome.

The handbook of artificial intelligence

CERN Document Server

Barr, Avron

1982-01-01

The Handbook of Artificial Intelligence, Volume II focuses on the improvements in artificial intelligence (AI) and its increasing applications, including programming languages, intelligent CAI systems, and the employment of AI in medicine, science, and education. The book first elaborates on programming languages for AI research and applications-oriented AI research. Discussions cover scientific applications, teiresias, applications in chemistry, dependencies and assumptions, AI programming-language features, and LISP. The manuscript then examines applications-oriented AI research in medicine

Exploratory study of the relationship between the musical, visuospatial, bodily-kinesthetic intelligence and drive creativity in the process of learning

Directory of Open Access Journals (Sweden)

Paula MARCHENA CRUZ

2017-12-01

Full Text Available Currently, the Spanish educational system focuses its attention on the development of priority subjects such as language and mathematics versus other secondary such as music (Palacios, 2006, without considering numerous neuropsychological research that provides new theories of mind and learning that can positively influence the transformation of current educational models (Martin-Lobo, 2015. This research aims to determine the relation between musical intelligence, bodily-kinesthetic intelligence, intelligence visuospatial and motor creativity in a sample among 5 years old students from the last year of Early Childhood Education. The instrument used to assess the three intelligences, based on Gardner’s theory, was the Multiple Intelligences questionnaire for children of pre-school age (Prieto and Ballester, 2003; for the evaluation of motor creativity was used Test of Creative Thinking in Action and Movement (Torrance, Reisman and Floyd, 1981. A descriptive and correlational statistical analysis (using the Pearson correlation index applying the Microsoft Excel program along with the supplement known as Ezanalyze. The results indicated no significant relationship between musical intelligence and motor creativity (p = 0.988; the visuospatial intelligence and motor creativity (p = 0.992; and the bodily-kinesthetic intelligence and motor creativity (p = 0.636. Although there was significant relation between the musical and visuospatial intelligence (p = 0.000; the musical and bodily-kinesthetic intelligence (p = 0.000; and the bodily-kinesthetic and visuospatial intelligence (p = 0.025.

A Dynamic Analysis of the Effects of Intelligence and Socioeconomic Background on Job-Market Success

Science.gov (United States)

Ganzach, Yoav

2011-01-01

We compare the effects of socioeconomic background (SEB) and intelligence on wage trajectories in a dynamic growth modeling framework in a sample that had completed just 12 years of education. I show that the main difference between the two is that SEB affected wages solely by its effect on entry pay whereas intelligence affected wages primarily…

Predictors of Happiness and Emotional Intelligence in Secondary Education

Directory of Open Access Journals (Sweden)

Federico Pulido Acosta

2018-01-01

Full Text Available This study analyzed predictors of happiness and emotional intelligence taking into account age, sex, culture and status and the relationship among these variables. 811 persons participated; 71.6% were Muslims and 28.4% Christians, with 46.1% males and 53.9% females. One questionnaire was used to evaluate happiness and another to evaluate emotional intelligence. The results indicate that predictors of happiness are age, culture, status and sex, while those of emotional intelligence are age, culture and sex. The study found that there is a statistically significant and direct correlation between happiness and emotional intelligence.

A Multidisciplinary Model for Development of Intelligent Computer-Assisted Instruction.

Science.gov (United States)

Park, Ok-choon; Seidel, Robert J.

1989-01-01

Proposes a schematic multidisciplinary model to help developers of intelligent computer-assisted instruction (ICAI) identify the types of required expertise and integrate them into a system. Highlights include domain types and expertise; knowledge acquisition; task analysis; knowledge representation; student modeling; diagnosis of learning needs;…

Artificial intelligence and exponential technologies business models evolution and new investment opportunities

CERN Document Server

Corea, Francesco

2017-01-01

Artificial Intelligence is a huge breakthrough technology that is changing our world. It requires some degrees of technical skills to be developed and understood, so in this book we are going to first of all define AI and categorize it with a non-technical language. We will explain how we reached this phase and what historically happened to artificial intelligence in the last century. Recent advancements in machine learning, neuroscience, and artificial intelligence technology will be addressed, and new business models introduced for and by artificial intelligence research will be analyzed. Finally, we will describe the investment landscape, through the quite comprehensive study of almost 14,000 AI companies and we will discuss important features and characteristics of both AI investors as well as investments. This is the “Internet of Thinks” era. AI is revolutionizing the world we live in. It is augmenting the human experiences, and it targets to amplify human intelligence in a future not so distant from...

MULTIPLE INTELLIGENCES, CARA MENSTIMULASI SERTA IMPLEMENTASINYA DALAM PEMBELAJARAN

Directory of Open Access Journals (Sweden)

Yulia Ayriza

2012-03-01

Full Text Available One of the implementations of Multiple Intelligences (MI theory is to view all students intelligent in their own talents. This concept has replaced the concept of intelligence Quotient (IQ which unconsciously has differentiated students to be intelligent and stupid. This concept, in the past, became one of the barriers for the “stupid” students to get their education appropriately, and this was clearly to be in the contrary with the philosophy of Education for All (EFA, for every student, whatever their “intelligences” are, has his/her right to get the basic education. The advantage of the implementation of “Multiple Intelligences” concept on learning instruction is that this concept uses developmental approach, therefore it focuses more on the students’ strengths to be developed; while the concept of “Intellectual Intelligence” still uses  remedial approach, therefore it focuses more on the students’ weaknesses to be remedied. This approach is also in the contrary with the learning principle of the Behaviorism which considers “reward” in higher priority than “punishment” in learning process. This article discusses the concept of MI, how to stimulate it, and its implementation on learning instruction. Keywords: Multiple Intelligences, stimulate, implementation on learning instruction

The application of a Business Intelligence tool for strategic planning in a higher education institution: a case study of the University of the Witwatersrand

Directory of Open Access Journals (Sweden)

Vincent Nyalungu

2011-07-01

Full Text Available This article presents a discussion on the importance of business intelligence (BI and the role that a specific BI tool, Business Intelligence Enterprise Edition, plays in the strategic decision-making processes in an organisation. The University of the Witwatersrand, often referred to as Wits, was used as a case study. The main objective of a business intelligence tool is to improve the quality and timeliness of the input of data to the organisational decision-making process. The quality of the data, which is an organisational asset, is therefore of the utmost importance. Approaches for the identification of business intelligence from corporate information and knowledge management were also assessed. A questionnaire was administered among key informants within the university in order to address some of the pertinent issues at higher education institutions. In addition, the role of a data warehouse within the business intelligence framework was presented. The paper itself covers a wide range of disciplines from information technology, knowledge management to decision sciences. The article also presents a proposed framework to be used in line with the best practices in the implementation of business intelligence solutions. Keywords: Business Intelligence (BI, Business Intelligence Enterprise Edition (BIEE, Data Warehouse, Strategic Decision Making, Strategic Planning, Higher Education Institutions and Knowledge Management. Disciplines: Information Technology, Knowledge Management, Management Sciences, Decision Sciences & Management

PENERAPAN TEORI MULTIPLE INTELLIGENCES HOWARD GARDNER DALAM PEMBELAJARAN PENDIDIKAN AGAMA ISLAM

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Mushollin -

2009-07-01

Full Text Available This article is to describe the concept and the theory of Multiple Intelligences developd by Howard Gardner. Furthermore, it tries to explain how they are applied in the classroom in the Islamic education learning. The theory is the development of doubled-intelligences theory stating that human have different intelligences. Gardner argues that human are endowed eight intelligences---linguistic, natural, logic-mathematic, interpersonal, intrapersonal, spatial, musical, and natural. In educational context, Gardner’s theory effects the learning practice in school as well as the parents treatment to the children in the house. In practice, learning is demanded to develop each intelligence and use any kinds of intelligences to measure the students’ intelligence.

Study of Spiritual Intelligence and Adjustment Among Arts and Science College Students.

Science.gov (United States)

Devi, R Kalpana; Rajesh, Nakulan V; Devi, M Anisha

2017-06-01

A study to evaluate the relationship between the spiritual intelligence and adjustment among the college students was conducted on a sample of 250 students in six various colleges of Tuticorin district, Tamil Nadu, India. Gender, religion, community, major subject, educational qualification of father and mother, student locality, college type, father and mother's occupation and monthly family income (n = 11 variables) were chosen for the study. Test of significance for spiritual intelligence and adjustment was studied and found them nonsignificant except student locality, found to be significant. Two valid and reliable instruments were used to assess student's spiritual intelligence and adjustment. Correlation and Chi-square analysis using structural equation model were used to analyze these data. Correlation analysis showed significant relationship between the variables among the college students (n = 250). Chi-square analysis of association between adjustments of college students showed that most variables are nonsignificant unlike father's educational qualification and mother's occupation. The results disclosed the significant positive relationship with spiritual intelligence and adjustment among adolescents.

Intelligence Is What the Intelligence Test Measures. Seriously

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Han L. J. van der Maas

2014-02-01

Full Text Available The mutualism model, an alternative for the g-factor model of intelligence, implies a formative measurement model in which “g” is an index variable without a causal role. If this model is accurate, the search for a genetic of brain instantiation of “g” is deemed useless. This also implies that the (weighted sum score of items of an intelligence test is just what it is: a weighted sum score. Preference for one index above the other is a pragmatic issue that rests mainly on predictive value.

Artificial intelligence based models for stream-flow forecasting: 2000-2015

Science.gov (United States)

Yaseen, Zaher Mundher; El-shafie, Ahmed; Jaafar, Othman; Afan, Haitham Abdulmohsin; Sayl, Khamis Naba

2015-11-01

The use of Artificial Intelligence (AI) has increased since the middle of the 20th century as seen in its application in a wide range of engineering and science problems. The last two decades, for example, has seen a dramatic increase in the development and application of various types of AI approaches for stream-flow forecasting. Generally speaking, AI has exhibited significant progress in forecasting and modeling non-linear hydrological applications and in capturing the noise complexity in the dataset. This paper explores the state-of-the-art application of AI in stream-flow forecasting, focusing on defining the data-driven of AI, the advantages of complementary models, as well as the literature and their possible future application in modeling and forecasting stream-flow. The review also identifies the major challenges and opportunities for prospective research, including, a new scheme for modeling the inflow, a novel method for preprocessing time series frequency based on Fast Orthogonal Search (FOS) techniques, and Swarm Intelligence (SI) as an optimization approach.

High Level of Emotional Intelligence Is Related to High Level of Online Teaching Self-Efficacy among Academic Nurse Educators

Science.gov (United States)

Ali, Nagia; Ali, Omar; Jones, James

2017-01-01

This study examined the relationship between emotional intelligence (EI) and online teaching self-efficacy among 115 academic nurse educators who teach online (totally, blended, or both). The sample was randomly drawn from the list of nursing schools accredited by Commission on Collegiate Nursing Education (CCNE) with baccalaureate, master's…

Hidden Hearing Loss and Computational Models of the Auditory Pathway: Predicting Speech Intelligibility Decline

Science.gov (United States)

2016-11-28

Title: Hidden Hearing Loss and Computational Models of the Auditory Pathway: Predicting Speech Intelligibility Decline Christopher J. Smalt...representation of speech intelligibility in noise. The auditory-periphery model of Zilany et al. (JASA 2009,2014) is used to make predictions of...auditory nerve (AN) responses to speech stimuli under a variety of difficult listening conditions. The resulting cochlear neurogram, a spectrogram

Multiple Intelligences and quotient spaces

OpenAIRE

Malatesta, Mike; Quintana, Yamilet

2006-01-01

The Multiple Intelligence Theory (MI) is one of the models that study and describe the cognitive abilities of an individual. In [7] is presented a referential system which allows to identify the Multiple Intelligences of the students of a course and to classify the level of development of such Intelligences. Following this tendency, the purpose of this paper is to describe the model of Multiple Intelligences as a quotient space, and also to study the Multiple Intelligences of an individual in...

Eugenics and Education: A Note on the Origins of the Intelligence Testing Movement in England.

Science.gov (United States)

Lowe, Roy

1980-01-01

Examines influence of Francis Galton and the Eugenics Education Society in the intelligence testing movement in England (early 1900s). For eugenicists, the central issue confronting society was the problem of racial deterioration. They responded with modification of the Binet-Simon tests and developed tests to examine the whole ability range.…

Trait Emotional Intelligence of Greek Special Education Teachers in Relation to Burnout and Job Satisfaction

Science.gov (United States)

Platsidou, Maria

2010-01-01

This study investigates perceived emotional intelligence (EI) in relation to burnout syndrome and job satisfaction in primary special education teachers from Greece. EI was measured by the EIS developed by Schutte et al. (1998). Factor analysis revealed that four factors can be identified in the EIS. Results showed that Greek teachers reported…

The experiment of cooperative learning model type team assisted individualization (TAI) on three-dimensional space subject viewed from spatial intelligence

Science.gov (United States)

Manapa, I. Y. H.; Budiyono; Subanti, S.

2018-03-01

The aim of this research is to determine the effect of TAI or direct learning (DL) on student’s mathematics achievement viewed from spatial intelligence. This research was quasi experiment. The population was 10th grade senior high school students in Alor Regency on academic year of 2015/2016 chosen by stratified cluster random sampling. The data were collected through achievement and spatial intelligence test. The data were analyzed by two ways, ANOVA with unequal cell and scheffe test. This research showed that student’s mathematics achievement used in TAI had better results than DL models one. In spatial intelligence category, student’s mathematics achievement with high spatial intelligence has better result than the other spatial intelligence category and students with high spatial intelligence have better results than those with middle spatial intelligence category. At TAI, student’s mathematics achievement with high spatial intelligence has better result than those with the other spatial intelligence category and students with middle spatial intelligence have better results than students with low spatial intelligence. In DL model, student’s mathematics achievement with high and middle spatial intelligence has better result than those with low spatial intelligence, but students with high spatial intelligence and middle spatial intelligence have no significant difference. In each category of spatial intelligence and learning model, mathematics achievement has no significant difference.

Intelligent Tutor

Science.gov (United States)

1990-01-01

NASA also seeks to advance American education by employing the technology utilization process to develop a computerized, artificial intelligence-based Intelligent Tutoring System (ITS) to help high school and college physics students. The tutoring system is designed for use with the lecture and laboratory portions of a typical physics instructional program. Its importance lies in its ability to observe continually as a student develops problem solutions and to intervene when appropriate with assistance specifically directed at the student's difficulty and tailored to his skill level and learning style. ITS originated as a project of the Johnson Space Center (JSC). It is being developed by JSC's Software Technology Branch in cooperation with Dr. R. Bowen Loftin at the University of Houston-Downtown. Program is jointly sponsored by NASA and ACOT (Apple Classrooms of Tomorrow). Other organizations providing support include Texas Higher Education Coordinating Board, the National Research Council, Pennzoil Products Company and the George R. Brown Foundation. The Physics I class of Clear Creek High School, League City, Texas are providing the classroom environment for test and evaluation of the system. The ITS is a spinoff product developed earlier to integrate artificial intelligence into training/tutoring systems for NASA astronauts flight controllers and engineers.

Modeling Speech Intelligibility in Hearing Impaired Listeners

DEFF Research Database (Denmark)

Scheidiger, Christoph; Jørgensen, Søren; Dau, Torsten

2014-01-01

speech, e.g. phase jitter or spectral subtraction. Recent studies predict SI for normal-hearing (NH) listeners based on a signal-to-noise ratio measure in the envelope domain (SNRenv), in the framework of the speech-based envelope power spectrum model (sEPSM, [20, 21]). These models have shown good...... agreement with measured data under a broad range of conditions, including stationary and modulated interferers, reverberation, and spectral subtraction. Despite the advances in modeling intelligibility in NH listeners, a broadly applicable model that can predict SI in hearing-impaired (HI) listeners...... is not yet available. As a firrst step towards such a model, this study investigates to what extent eects of hearing impairment on SI can be modeled in the sEPSM framework. Preliminary results show that, by only modeling the loss of audibility, the model cannot account for the higher speech reception...

Computational Intelligence in Intelligent Data Analysis

CERN Document Server

Nürnberger, Andreas

2013-01-01

Complex systems and their phenomena are ubiquitous as they can be found in biology, finance, the humanities, management sciences, medicine, physics and similar fields. For many problems in these fields, there are no conventional ways to mathematically or analytically solve them completely at low cost. On the other hand, nature already solved many optimization problems efficiently. Computational intelligence attempts to mimic nature-inspired problem-solving strategies and methods. These strategies can be used to study, model and analyze complex systems such that it becomes feasible to handle them. Key areas of computational intelligence are artificial neural networks, evolutionary computation and fuzzy systems. As only a few researchers in that field, Rudolf Kruse has contributed in many important ways to the understanding, modeling and application of computational intelligence methods. On occasion of his 60th birthday, a collection of original papers of leading researchers in the field of computational intell...

Online Behavior Analysis-Based Student Profile for Intelligent E-Learning

Directory of Open Access Journals (Sweden)

Kun Liang

2017-01-01

Full Text Available With the development of mobile platform, such as smart cellphone and pad, the E-Learning model has been rapidly developed. However, due to the low completion rate for E-Learning platform, it is very necessary to analyze the behavior characteristics of online learners to intelligently adjust online education strategy and enhance the quality of learning. In this paper, we analyzed the relation indicators of E-Learning to build the student profile and gave countermeasures. Adopting the similarity computation and Jaccard coefficient algorithm, we designed a system model to clean and dig into the educational data and also the students’ learning attitude and the duration of learning behavior to establish student profile. According to the E-Learning resources and learner behaviors, we also present the intelligent guide model to guide both E-Learning platform and learners to improve learning things. The study on student profile can help the E-Learning platform to meet and guide the students’ learning behavior deeply and also to provide personalized learning situation and promote the optimization of the E-Learning.

An application of artificial intelligence for rainfall–runoff modeling

Indian Academy of Sciences (India)

This study proposes an application of two techniques of artificial intelligence (AI) for rainfall–runoff modeling: the artificial neural networks (ANN) and the evolutionary computation (EC). Two diff- erent ANN techniques, the feed forward back propagation (FFBP) and generalized regression neural network (GRNN) methods ...

Facilitating Multiple Intelligences Through Multimodal Learning Analytics

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Ayesha PERVEEN

2018-01-01

Full Text Available This paper develops a theoretical framework for employing learning analytics in online education to trace multiple learning variations of online students by considering their potential of being multiple intelligences based on Howard Gardner’s 1983 theory of multiple intelligences. The study first emphasizes the need to facilitate students as multiple intelligences by online education systems and then suggests a framework of the advanced form of learning analytics i.e., multimodal learning analytics for tracing and facilitating multiple intelligences while they are engaged in online ubiquitous learning. As multimodal learning analytics is still an evolving area, it poses many challenges for technologists, educationists as well as organizational managers. Learning analytics make machines meet humans, therefore, the educationists with an expertise in learning theories can help technologists devise latest technological methods for multimodal learning analytics and organizational managers can implement them for the improvement of online education. Therefore, a careful instructional design based on a deep understanding of students’ learning abilities, is required to develop teaching plans and technological possibilities for monitoring students’ learning paths. This is how learning analytics can help design an adaptive instructional design based on a quick analysis of the data gathered. Based on that analysis, the academicians can critically reflect upon the quick or delayed implementation of the existing instructional design based on students’ cognitive abilities or even about the single or double loop learning design. The researcher concludes that the online education is multimodal in nature, has the capacity to endorse multiliteracies and, therefore, multiple intelligences can be tracked and facilitated through multimodal learning analytics in an online mode. However, online teachers’ training both in technological implementations and

A Model for Organizational Intelligence in Islamic Azad University (Zone 8

Directory of Open Access Journals (Sweden)

Masoumeh Erfani Khanghahi

2013-08-01

Full Text Available Today organizations are faced with the rapidly changeable events in economical, technological, social, cultural and political environment. Successful and dynamic reaction of organizations depends on their ability to provide relevant information and to find, at the same time, adequate solutions to the problems they are faced with. In that sense, the attention of organizational theoreticians is focused on designing of intellectual abilities of organization and new concept in organizational theory has developed organizational intelligence (OI. In two decades ago, theoretical models have been developed and little research has been conducted. Having a model for defining and assessing the organizational status of an organization can be very helpful but the key questions facing every manager are; how can the level of collective intelligence be promoted? And what factors influence OI? Therefore this research carried out in order to assess OI and its factors influencing I.A.U. and provide a structural equation model. The subject of the study was 311 faculty members of I.A.U (Zone 8. Faculty members completed OI questionnaire (Cronbach's alpha=0.98, learning climate (Cronbach's alpha=0.94, multifactor leadership questionnaire (Cronbach's alpha =0.92 and organizational learning audit (Cronbach's alpha =0.94. Findings of this research showed that mean of organizational intelligence, organizational learning and learning culture were less than mean and transformational leadership was more than mean of questionnaire. Lisrel project software was applied for confirmatory factor analysis (CFA and structural equation modeling (SEM. Based on the tested structural equation model, transformational leadership style had direct impact on learning culture $(eta=0.78$, learning culture had a direct impact on OI $(eta=0.46$, organizational learning had a direct impact on OI $(eta=0.34$ and learning culture had a direct impact on organizational learning $(eta=0.96$. The

Ethical Considerations in Artificial Intelligence Courses

OpenAIRE

Burton, Emanuelle; Goldsmith, Judy; Koenig, Sven; Kuipers, Benjamin; Mattei, Nicholas; Walsh, Toby

2017-01-01

The recent surge in interest in ethics in artificial intelligence may leave many educators wondering how to address moral, ethical, and philosophical issues in their AI courses. As instructors we want to develop curriculum that not only prepares students to be artificial intelligence practitioners, but also to understand the moral, ethical, and philosophical impacts that artificial intelligence will have on society. In this article we provide practical case studies and links to resources for ...

Hybrid-augmented intelligence:collaboration and cognition

Institute of Scientific and Technical Information of China (English)

Nan-ning ZHENG; Zi-yi LIU; Peng-ju REN; Yong-qiang MA; Shi-tao CHEN; Si-yu YU; Jian-ru XUE

2017-01-01

The long-term goal of artificial intelligence (AI) is to make machines learn and think like human beings. Due to the high levels of uncertainty and vulnerability in human life and the open-ended nature of problems that humans are facing, no matter how intelligent machines are, they are unable to completely replace humans. Therefore, it is necessary to introduce human cognitive capabilities or human-like cognitive models into AI systems to develop a new form of AI, that is, hybrid-augmented intelligence. This form of AI or machine intelligence is a feasible and important developing model. Hybrid-augmented intelligence can be divided into two basic models:one is human-in-the-loop augmented intelligence with human-computer collaboration, and the other is cognitive computing based augmented intelligence, in which a cognitive model is embedded in the machine learning system. This survey describes a basic framework for human-computer collaborative hybrid-augmented intelligence, and the basic elements of hybrid-augmented intelligence based on cognitive computing. These elements include intuitive reasoning, causal models, evolution of memory and knowledge, especially the role and basic principles of intuitive reasoning for complex problem solving, and the cognitive learning framework for visual scene understanding based on memory and reasoning. Several typical applications of hybrid-augmented intelligence in related fields are given.

Study of the Appropriate and Inappropriate Methods of Visual Arts Education in the Primary Schools According to the Types of Multiple Intelligences

Directory of Open Access Journals (Sweden)

Atena Salehi Baladehi

2017-01-01

Full Text Available In the current changing world, named the era of knowledge explosion, specialists and those involved in education have been attracted finding a response to a question: what should we teach today’s students that to be useful for them in the future life? The main objective of this study is to investigate the appropriate and inappropriate methods of visual arts education in pre-school. According to the types of multiple intelligences, reaching to this goal requires careful planning, proper training and proper content selection along with talent and interests of learners along with the use of appropriate practice training and educational staff training. The research handles descriptive and analytic methods as well as academic literature. The results suggest the importance of understanding the multiple intelligences in the visual arts education.

Domain-specific knowledge as the "dark matter" of adult intelligence: Gf/Gc, personality and interest correlates.

Science.gov (United States)

Ackerman, P L

2000-03-01

An enduring controversy in intelligence theory and assessment, the argument that middle-aged adults are, on average, less intelligent than young adults, is addressed in this study. A sample of 228 educated adults between ages 21 and 62 years was given an array of tests that focused on a broad assessment of intelligence-as-knowledge, traditional estimates of fluid intelligence (Gf) and crystallized intelligence (Gc), personality, and interests. The results indicate that middle-aged adults are more knowledgeable in many domains, compared with younger adults. A coherent pattern of ability, personality, and interest relations is found. The results are consistent with a developmental perspective of intelligence that includes both traditional ability and non-ability determinants of intelligence during adulthood. A reassessment of the nature of intelligence in adulthood is provided, in the context of a lifelong learning and investment model, called PPIK, for intelligence-as-Process, Personality, Interests, and intelligence-as-Knowledge (Ackerman, 1996).

Intelligent Model Management in a Forest Ecosystem Management Decision Support System

Science.gov (United States)

Donald Nute; Walter D. Potter; Frederick Maier; Jin Wang; Mark Twery; H. Michael Rauscher; Peter Knopp; Scott Thomasma; Mayukh Dass; Hajime Uchiyama

2002-01-01

Decision making for forest ecosystem management can include the use of a wide variety of modeling tools. These tools include vegetation growth models, wildlife models, silvicultural models, GIS, and visualization tools. NED-2 is a robust, intelligent, goal-driven decision support system that integrates tools in each of these categories. NED-2 uses a blackboard...

Conceptual Model of Business Value of Business Intelligence Systems

OpenAIRE

Popovič, Aleš; Turk, Tomaž; Jaklič, Jurij

2010-01-01

With advances in the business intelligence area, there is an increasing interest for the introduction of business intelligence systems into organizations. Although the opinion about business intelligence and its creation of business value is generally accepted, economic justification of investments into business intelligence systems is not always clear. Measuring the business value of business intelligence in practice is often not carried out due to the lack of measurement methods and resourc...

An Analytical Model / Emotional Intelligence Quotient and QOL in Mothers with Infants in Japan

OpenAIRE

Ohashi, Junko; Katsura, Toshiki; Hoshino, Akiko; Usui, Kanae

2013-01-01

Objective: The purpose of this study was to examine the relationship between the emotional intelligence quotient and health-related quality of life using structural equation modeling. Methods: A self-administered questionnaire survey was conducted among 1,911 mothers who visited the Health Center for an infant medical examination. A hypothetical model was constructed using variables of the emotional intelligence quotient, social support, coping, parenting stress, and perceived health competen...

An Intelligent Model for Pairs Trading Using Genetic Algorithms.

Science.gov (United States)

Huang, Chien-Feng; Hsu, Chi-Jen; Chen, Chi-Chung; Chang, Bao Rong; Li, Chen-An

2015-01-01

Pairs trading is an important and challenging research area in computational finance, in which pairs of stocks are bought and sold in pair combinations for arbitrage opportunities. Traditional methods that solve this set of problems mostly rely on statistical methods such as regression. In contrast to the statistical approaches, recent advances in computational intelligence (CI) are leading to promising opportunities for solving problems in the financial applications more effectively. In this paper, we present a novel methodology for pairs trading using genetic algorithms (GA). Our results showed that the GA-based models are able to significantly outperform the benchmark and our proposed method is capable of generating robust models to tackle the dynamic characteristics in the financial application studied. Based upon the promising results obtained, we expect this GA-based method to advance the research in computational intelligence for finance and provide an effective solution to pairs trading for investment in practice.

A study on the Web intelligence

Institute of Scientific and Technical Information of China (English)

Sang-Geun Kim

2004-01-01

This paper surveys important aspects of Web Intelligence (WI). WI explores the fundamental roles as well as practical impacts of Artificial Intelligence (AI) and advanced Information Technology (IT) on the next generation of Web - related products, systens, and activities. As a direction for scientific research and devlopment, WI can be extremely beneficial for the field of Artificial Intelligence in Education (AIED). This paper covers these issues only very briefly. It focuses more on other issues in WI, such as intelligent Web services, and semantic web, and proposes how to use them as basis for tackling new and challenging research problems in AIED.

Emotional Intelligence and Academic Success: A Conceptual Analysis for Educational Leaders

Science.gov (United States)

Labby, Sandy; Lunenburg, Frederick C.; Slate, John R.

2012-01-01

In this review of the literature, we briefly examined the development of intelligence theories as they lead to the emergence of the concept of emotional intelligence(s). In our analysis, we noted that only limited attention had been focused on the emotional intelligence skills of school administrators. Accordingly, we examined the role of…

Effects Of Emotional Intelligence On Marital Adjustment Of Couples ...

African Journals Online (AJOL)

Couples should be helped to develop emotion management skills. Couples should be taught emotional sensitivity skills. Our educational systems should not only develop learners' Intelligence (IQ) but their Emotional intelligence (EQI) competencies too. Emotional intelligence should form part of the criteria for marital choice ...

Can Emotionally Intelligent Volleyball Players Be More Prone to Sportspersonship?

Science.gov (United States)

Can, Suleyman

2016-01-01

Emotional intelligence concept has been examined by researchers in the field of education as well as field of sports. When emotional intelligence theory examined, it comes to mind that emotional intelligence can be related to moral behaviors in sport. In this regard, the question of "Can emotional intelligence predict sportspersonship…

The Effects of Emotional Intelligence (EI Items Education on Job Related Stress in Physicians and Nurses who Work in Intensive Care Units

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Kh Nooryan

2011-12-01

Full Text Available Background & Aim: Intensive care units (ICUs are recognized as stressful environments. The objective of this study was to determine the effects of emotional intelligence education items on job related stress on physicians and nurses who work in intensive care units at hospitals of Yerevan, Armenia. Methods: A interventional study design was implemented with 106 registered hospital physicians and nurses, who were widely distributed all the way through. Case group was taught about 15 E.I items. For data collection, the 20-question Berger situational (overt anxiety questionnaire, the 20-item personality (covert anxiety questionnaire, and the Bar-on emotional intelligence questionnaire with 133 questions were used. Statistical descriptive methods, chi-square (X2 and t-tests were used to analyze data. Results: The research achievements revealed that the average score of the case group`s situational anxiety was 46.59 before intervention, which decreased to 39.95 after the training of the items of emotional intelligence. The average score of situational anxiety of control group was 44.32 before intervention which increased to 44.76 after examination. There was a meaningful statistical difference between case and control group after education of emotional intelligence`s items (p=0.001. Conclusion: Results of the current study showed that physicians and nurses experience high level of stress. The ability to effectively deal with emotion intelligence and emotional information in the workplace assists employees in coping with occupational stress and should be developed in stress managing trainings.

Students in a Teacher College of Education Develop Educational Programs and Activities Related to Intelligent Use of the Web: Cultivating New Knowledge

Science.gov (United States)

Wadmany, Rivka; Zeichner, Orit; Melamed, Orly

2014-01-01

Students in a teacher training college in Israel have developed and taught curricula on the intelligent use of the Web. The educational programs were based on activities thematically related to the world of digital citizenship, such as the rights of the child and the Internet, identity theft, copyrights, freedom of expression and its limitations,…

The application of neural networks with artificial intelligence technique in the modeling of industrial processes

International Nuclear Information System (INIS)

Saini, K. K.; Saini, Sanju

2008-01-01

Neural networks are a relatively new artificial intelligence technique that emulates the behavior of biological neural systems in digital software or hardware. These networks can 'learn', automatically, complex relationships among data. This feature makes the technique very useful in modeling processes for which mathematical modeling is difficult or impossible. The work described here outlines some examples of the application of neural networks with artificial intelligence technique in the modeling of industrial processes.

Advances in Intelligent Modelling and Simulation Artificial Intelligence-Based Models and Techniques in Scalable Computing

CERN Document Server

Khan, Samee; Burczy´nski, Tadeusz

2012-01-01

One of the most challenging issues in today’s large-scale computational modeling and design is to effectively manage the complex distributed environments, such as computational clouds, grids, ad hoc, and P2P networks operating under  various  types of users with evolving relationships fraught with  uncertainties. In this context, the IT resources and services usually belong to different owners (institutions, enterprises, or individuals) and are managed by different administrators. Moreover, uncertainties are presented to the system at hand in various forms of information that are incomplete, imprecise, fragmentary, or overloading, which hinders in the full and precise resolve of the evaluation criteria, subsequencing and selection, and the assignment scores. Intelligent scalable systems enable the flexible routing and charging, advanced user interactions and the aggregation and sharing of geographically-distributed resources in modern large-scale systems.   This book presents new ideas, theories, models...

Envisioning engineering education and practice in the coming intelligence convergence era — a complex adaptive systems approach

Science.gov (United States)

Noor, Ahmed K.

2013-12-01

Some of the recent attempts for improving and transforming engineering education are reviewed. The attempts aim at providing the entry level engineers with the skills needed to address the challenges of future large-scale complex systems and projects. Some of the frontier sectors and future challenges for engineers are outlined. The major characteristics of the coming intelligence convergence era (the post-information age) are identified. These include the prevalence of smart devices and environments, the widespread applications of anticipatory computing and predictive / prescriptive analytics, as well as a symbiotic relationship between humans and machines. Devices and machines will be able to learn from, and with, humans in a natural collaborative way. The recent game changers in learnscapes (learning paradigms, technologies, platforms, spaces, and environments) that can significantly impact engineering education in the coming era are identified. Among these are open educational resources, knowledge-rich classrooms, immersive interactive 3D learning, augmented reality, reverse instruction / flipped classroom, gamification, robots in the classroom, and adaptive personalized learning. Significant transformative changes in, and mass customization of, learning are envisioned to emerge from the synergistic combination of the game changers and other technologies. The realization of the aforementioned vision requires the development of a new multidisciplinary framework of emergent engineering for relating innovation, complexity and cybernetics, within the future learning environments. The framework can be used to treat engineering education as a complex adaptive system, with dynamically interacting and communicating components (instructors, individual, small, and large groups of learners). The emergent behavior resulting from the interactions can produce progressively better, and continuously improving, learning environment. As a first step towards the realization of

Gratitude mediates the effect of emotional intelligence on subjective well-being: A structural equation modeling analysis.

Science.gov (United States)

Geng, Yuan

2016-11-01

This study investigated the relationship among emotional intelligence, gratitude, and subjective well-being in a sample of university students. A total of 365 undergraduates completed the emotional intelligence scale, the gratitude questionnaire, and the subjective well-being measures. The results of the structural equation model showed that emotional intelligence is positively associated with gratitude and subjective well-being, that gratitude is positively associated with subjective well-being, and that gratitude partially mediates the positive relationship between emotional intelligence and subjective well-being. Bootstrap test results also revealed that emotional intelligence has a significant indirect effect on subjective well-being through gratitude.

A New Layered Model on Emotional Intelligence

Science.gov (United States)

Drigas, Athanasios S.

2018-01-01

Emotional Intelligence (EI) has been an important and controversial topic during the last few decades. Its significance and its correlation with many domains of life has made it the subject of expert study. EI is the rudder for feeling, thinking, learning, problem-solving, and decision-making. In this article, we present an emotional–cognitive based approach to the process of gaining emotional intelligence and thus, we suggest a nine-layer pyramid of emotional intelligence and the gradual development to reach the top of EI. PMID:29724021

A review on integration of artificial intelligence into water quality modelling.

Science.gov (United States)

Chau, Kwok-wing

2006-07-01

With the development of computing technology, numerical models are often employed to simulate flow and water quality processes in coastal environments. However, the emphasis has conventionally been placed on algorithmic procedures to solve specific problems. These numerical models, being insufficiently user-friendly, lack knowledge transfers in model interpretation. This results in significant constraints on model uses and large gaps between model developers and practitioners. It is a difficult task for novice application users to select an appropriate numerical model. It is desirable to incorporate the existing heuristic knowledge about model manipulation and to furnish intelligent manipulation of calibration parameters. The advancement in artificial intelligence (AI) during the past decade rendered it possible to integrate the technologies into numerical modelling systems in order to bridge the gaps. The objective of this paper is to review the current state-of-the-art of the integration of AI into water quality modelling. Algorithms and methods studied include knowledge-based system, genetic algorithm, artificial neural network, and fuzzy inference system. These techniques can contribute to the integrated model in different aspects and may not be mutually exclusive to one another. Some future directions for further development and their potentials are explored and presented.

Social intelligence of parents with autism spectrum disorders impacts their emotional behaviour: A new proposed model for stabilising emotionality of these parents impacting their social intelligence

Directory of Open Access Journals (Sweden)

Vidya Bhagat

2017-01-01

Full Text Available Autism spectrum disorder (ASD may affect all spheres of a child's life. Indeed, parents and siblings also live with emotional instabilities in the family. The experience of parents with ASD child can be distressing since they need to make more adjustments to the demanding need to cope with their life situations. Perhaps, their life is drastically exaggerated with their complexities of life. Particularly, their social life is radically affected. The presence of pervasive and severe deficits in children with ASD isolates these parents from their social life; demanding adjustments to their social environment of parents in their life situations shove them into distress and unstable emotions. Finally, they culminate being shattered in their interpersonal relationship, their family and social life. Indeed, these aspects of distress mask social intelligence of these parents, thus narrow down their focus more on the treatment rather than holistic management of their child. Thus, the management of ASD with these parents of the deficit children to reach their fullest abilities remains doubtful. Therefore, the objectives of this study are as follows: (a to examine the impact of emotionality on social intelligence of parents blessed with autistic child, (b to develop awareness regarding social intelligence and its significance among these parents, (c to propose a new model stabilising emotionality of these parents through developing social adaption skills and (d to suggest a new model as a guide in the current intervention regimens to ensure the emotional well-being and better social adoption. This study is made based on the keenly examined past evidence with the correlation of emotionality and its impact on social intelligence of the parents with ASD children. The results reveal that the social intelligence is perceived as lowered evidenced by poor social adjustment reflected in social isolation observed in the parents of children with ASD. A new model

Cognitive Tutoring based on Intelligent Decision Support in the PENTHA Instructional Design Model

Science.gov (United States)

dall'Acqua, Luisa

2010-06-01

The research finality of this paper is how to support Authors to develop rule driven—subject oriented, adaptable course content, meta-rules—representing the disciplinary epistemology, model of teaching, Learning Path structure, and assessment parameters—for intelligent Tutoring actions in a personalized, adaptive e-Learning environment. The focus is to instruct the student to be a decision manager for himself, able to recognize the elements of a problem, select the necessary information with the perspective of factual choices. In particular, our research intends to provide some fundamental guidelines for the definition of didactical rules and logical relations, that Authors should provide to a cognitive Tutoring system through the use of an Instructional Design method (PENTHA Model) which proposes an educational environment, able to: increase productivity and operability, create conditions for a cooperative dialogue, developing participatory research activities of knowledge, observations and discoveries, customizing the learning design in a complex and holistic vision of the learning / teaching processes.

Bibliography: Artificial Intelligence.

Science.gov (United States)

Smith, Richard L.

1986-01-01

Annotates reference material on artificial intelligence, mostly at an introductory level, with applications to education and learning. Topics include: (1) programing languages; (2) expert systems; (3) language instruction; (4) tutoring systems; and (5) problem solving and reasoning. (JM)

Intelligent control of HVAC systems. Part I: Modeling and synthesis

Directory of Open Access Journals (Sweden)

Adrian TOADER

2013-03-01

Full Text Available This is the first part of a work on intelligent type control of Heating, Ventilating and Air-Conditioning (HVAC systems. The study is performed from the perspective of giving a unitary control method to ensure high energy efficiency and air quality improving. To illustrate the proposed HVAC control technique, in this first part it is considered as benchmark problem a single thermal space HVAC system. The construction of the mathematical model is performed only with a view to obtain a framework of HVAC intelligent control validation by numerical simulations. The latter will be reported in a second part of the study.

Intelligent Models Performance Improvement Based on Wavelet Algorithm and Logarithmic Transformations in Suspended Sediment Estimation

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R. Hajiabadi

2016-10-01

Full Text Available Introduction One reason for the complexity of hydrological phenomena prediction, especially time series is existence of features such as trend, noise and high-frequency oscillations. These complex features, especially noise, can be detected or removed by preprocessing. Appropriate preprocessing causes estimation of these phenomena become easier. Preprocessing in the data driven models such as artificial neural network, gene expression programming, support vector machine, is more effective because the quality of data in these models is important. Present study, by considering diagnosing and data transformation as two different preprocessing, tries to improve the results of intelligent models. In this study two different intelligent models, Artificial Neural Network and Gene Expression Programming, are applied to estimation of daily suspended sediment load. Wavelet transforms and logarithmic transformation is used for diagnosing and data transformation, respectively. Finally, the impacts of preprocessing on the results of intelligent models are evaluated. Materials and Methods In this study, Gene Expression Programming and Artificial Neural Network are used as intelligent models for suspended sediment load estimation, then the impacts of diagnosing and logarithmic transformations approaches as data preprocessor are evaluated and compared to the result improvement. Two different logarithmic transforms are considered in this research, LN and LOG. Wavelet transformation is used to time series denoising. In order to denoising by wavelet transforms, first, time series can be decomposed at one level (Approximation part and detail part and second, high-frequency part (detail will be removed as noise. According to the ability of gene expression programming and artificial neural network to analysis nonlinear systems; daily values of suspended sediment load of the Skunk River in USA, during a 5-year period, are investigated and then estimated.4 years of

Mode of communication and classroom placement impact on speech intelligibility.

Science.gov (United States)

Tobey, Emily A; Rekart, Deborah; Buckley, Kristi; Geers, Ann E

2004-05-01

To examine the impact of classroom placement and mode of communication on speech intelligibility scores in children aged 8 to 9 years using multichannel cochlear implants. Classroom placement (special education, partial mainstream, and full mainstream) and mode of communication (total communication and auditory-oral) reported via parental rating scales before and 4 times after implantation were the independent variables. Speech intelligibility scores obtained at 8 to 9 years of age were the dependent variables. The study included 131 congenitally deafened children between the ages of 8 and 9 years who received a multichannel cochlear implant before the age of 5 years. Higher speech intelligibility scores at 8 to 9 years of age were significantly associated with enrollment in auditory-oral programs rather than enrollment in total communication programs, regardless of when the mode of communication was used (before or after implantation). Speech intelligibility at 8 to 9 years of age was not significantly influenced by classroom placement before implantation, regardless of mode of communication. After implantation, however, there were significant associations between classroom placement and speech intelligibility scores at 8 to 9 years of age. Higher speech intelligibility scores at 8 to 9 years of age were associated with classroom exposure to normal-hearing peers in full or partial mainstream placements than in self-contained, special education placements. Higher speech intelligibility scores in 8- to 9-year-old congenitally deafened cochlear implant recipients were associated with educational settings that emphasize oral communication development. Educational environments that incorporate exposure to normal-hearing peers were also associated with higher speech intelligibility scores at 8 to 9 years of age.

INTELLIGENCE AND LEADERSHIP IN EDUCATION

Directory of Open Access Journals (Sweden)

Paul Marinescu

2011-01-01

Full Text Available The paper suggests that the following types of intelligence: emotional, social andappreciative, combined with a qualitative leadership, can contribute to increasing theorganizational performance. In the case study, we highlight the way in which intelligenceand leadership become catalysts in both curricular and extracurricular activities at theFaculty of Business Administration from the University of Bucharest.

No association between prenatal exposure to psychotropics and intelligence at age five

DEFF Research Database (Denmark)

Eriksen, Hanne-Lise Falgreen; Kesmodel, Ulrik Schiøler; Pedersen, Lars Henning

2015-01-01

depression and 1748 control children. MAIN OUTCOME MEASURE: Wechsler Preschool and Primary Scale of Intelligence - Revised. RESULTS: In unadjusted analyses, children of mothers who used antidepressants or anxiolytics during pregnancy had higher verbal IQ; this association, however, was insignificant after......, and parental education, maternal intelligence quotient (IQ), maternal smoking and alcohol consumption in pregnancy, the child's age at testing, sex, and tester were included in the full model. The IQ of 13 medication-exposed children was compared with the IQ of 19 children whose mothers had untreated...

Reflection on robotic intelligence

NARCIS (Netherlands)

Bartneck, C.

2006-01-01

This paper reflects on the development or robots, both their physical shape as well as their intelligence. The later strongly depends on the progress made in the artificial intelligence (AI) community which does not yet provide the models and tools necessary to create intelligent robots. It is time

A Map for Clinical Laboratories Management Indicators in the Intelligent Dashboard.

Science.gov (United States)

Azadmanjir, Zahra; Torabi, Mashallah; Safdari, Reza; Bayat, Maryam; Golmahi, Fatemeh

2015-08-01

management challenges of clinical laboratories are more complicated for educational hospital clinical laboratories. Managers can use tools of business intelligence (BI), such as information dashboards that provide the possibility of intelligent decision-making and problem solving about increasing income, reducing spending, utilization management and even improving quality. Critical phase of dashboard design is setting indicators and modeling causal relations between them. The paper describes the process of creating a map for laboratory dashboard. the study is one part of an action research that begins from 2012 by innovation initiative for implementing laboratory intelligent dashboard. Laboratories management problems were determined in educational hospitals by the brainstorming sessions. Then, with regard to the problems key performance indicators (KPIs) specified. the map of indicators designed in form of three layered. They have a causal relationship so that issues measured in the subsequent layers affect issues measured in the prime layers. the proposed indicator map can be the base of performance monitoring. However, these indicators can be modified to improve during iterations of dashboard designing process.

PENGEMBANGAN MULTIPLE INTELLIGENCE MELALUI PEMBELAJARAN INTEGRATIF BERBASIS GAMES (Model Integrasi Bimbingan dalam Proses Pembelajaran sebagai Upaya Mengembangkan Berbagai Potensi Kecerdasan Siswa

Directory of Open Access Journals (Sweden)

ARDIMEN

2016-07-01

Full Text Available Educational institution is an institution of the brain industry. Therefore, education is a vehicle for mental exercise. With education will be able to sharpen the brain to form human beings quality. Qualified people are intelligent human beings comprehensive and competitive savvy are reflected in personal moral, creative, and productive and full responsibility in living our daily lives. But the spotlight and complaints against educational institutions still occur, various perceived problems among students learn the lower interest. Students tend to subjects who tested nationally (National Examination, the methods used by teachers in teaching the more commonly used methods of lecture and question and answer, sometimes the discussion so that the lessons seem monotonous and less innovative, subjects received more students cederung nature doctrine in the form of memorization alone and rarely developed in the context of everyday life so that lessons just more leads to mastery of concepts and tend to train cognitive abilities-intellectual, not a lot of touching the realm of other intelligence in accordance with the potential of the students. The other problem is the tendency of the still rampant behavior is not commendable at this time in various forms, for example, students commit suicide because they do not pass the exam, involved in drugs, fighting between students, the behavior of cheating, careless, style punky, smoking, going out, and so become a reason for choosing this topic as study materials. The problem is what strengthens the belief writers to examine and assess the importance of the development of multiple intelligence through integrative learning-based game in an attempt to develop students' potential intelligence to realize a comprehensive and intelligent smart students competitive. This paper formulated into some discussion that begins with an introduction that lists reasons for the importance of this issue is discussed, and then

Computational intelligence applications in modeling and control

CERN Document Server

Vaidyanathan, Sundarapandian

2015-01-01

The development of computational intelligence (CI) systems was inspired by observable and imitable aspects of intelligent activity of human being and nature. The essence of the systems based on computational intelligence is to process and interpret data of various nature so that that CI is strictly connected with the increase of available data as well as capabilities of their processing, mutually supportive factors. Developed theories of computational intelligence were quickly applied in many fields of engineering, data analysis, forecasting, biomedicine and others. They are used in images and sounds processing and identifying, signals processing, multidimensional data visualization, steering of objects, analysis of lexicographic data, requesting systems in banking, diagnostic systems, expert systems and many other practical implementations. This book consists of 16 contributed chapters by subject experts who are specialized in the various topics addressed in this book. The special chapters have been brought ...

Qualitative Evaluation of the Java Intelligent Tutoring System

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Edward Sykes

2005-10-01

Full Text Available In an effort to support the growing trend of the Java programming language and to promote web-based personalized education, the Java Intelligent Tutoring System (JITS was designed and developed. This tutoring system is unique in a number of ways. Most Intelligent Tutoring Systems require the teacher to author problems with corresponding solutions. JITS, on the other hand, requires the teacher to only supply the problem and problem specification. JITS is designed to "intelligently" examine the student's submitted code and determines appropriate feedback based on a number of factors such as JITS' cognitive model of the student, the student's skill level, and problem details. JITS is intended to be used by beginner programming students in their first year of College or University. This paper discusses the important aspects of the design and development of JITS, the qualitative methods and procedures, and findings. Research was conducted at the Sheridan Institute of Technology and Advanced Learning, Ontario, Canada.

INFLUENCE OF THE INTELLIGENCE PROJECT AT HARVARD COGNITIVE DEVELOPMENT OF STUDENTS IN PRIMARY EDUCATION. IMPLICATIONS FOR ORGANIZATIONAL AND PROFESSIONAL DEVELOPMENT IN SECOND AND THIRD CYCLE OF PRIMARY EDUCATION

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Mercedes Ramos Fresno

2014-12-01

Full Text Available This study aims to identify the influence of the Harvard Project on IQ Intelligence students of second and third cycle of primary education and the implications for the organizational and professional development of teachers . The experience has been developed over four courses in a public school in Madrid. The methodology used , complementary , included group designs with pretest-posttest measures , participant observation and interviews. The results show the positive impact of PIH on IQ and can say that the application of PIH produce cognitive improvements in students , as measured by the intelligence test "g" of Cattell . Regarding the implications for the organizational and professional development, we have found that the implementation of PIH promotes the development of teacher professional autonomy , commitment to teaching practice , and the necessary self-criticism to constantly evaluate , creating flexible educational proposals through self-reflection. The communication of this experience positively influences both the school community and the local community, encouraging them to participate in educational projects aimed at improving the quality of teaching- learning and education.

The Artificial Intelligence Applications to Learning Programme.

Science.gov (United States)

Williams, Noel

1992-01-01

Explains the Artificial Intelligence Applications to Learning Programme, which was developed in the United Kingdom to explore and accelerate the use of artificial intelligence (AI) technologies in learning in both the educational and industrial sectors. Highlights include program evaluation, marketing, ownership of information, consortia, and cost…

E-learning environment as intelligent tutoring system

Science.gov (United States)

Nagyová, Ingrid

2017-07-01

The development of computers and artificial intelligence theory allow their application in the field of education. Intelligent tutoring systems reflect student learning styles and adapt the curriculum according to their individual needs. The building of intelligent tutoring systems requires not only the creation of suitable software, but especially the search and application of the rules enabling ICT to individually adapt the curriculum. The main idea of this paper is to attempt to specify the rules for dividing the students to systematically working students and more practically or pragmatically inclined students. The paper shows that monitoring the work of students in e-learning environment, analysis of various approaches to educational materials and correspondence assignments show different results for the defined groups of students.

Bringing Chatbots into education: Towards Natural Language Negotiation of Open Learner Models

Science.gov (United States)

Kerlyl, Alice; Hall, Phil; Bull, Susan

There is an extensive body of work on Intelligent Tutoring Systems: computer environments for education, teaching and training that adapt to the needs of the individual learner. Work on personalisation and adaptivity has included research into allowing the student user to enhance the system's adaptivity by improving the accuracy of the underlying learner model. Open Learner Modelling, where the system's model of the user's knowledge is revealed to the user, has been proposed to support student reflection on their learning. Increased accuracy of the learner model can be obtained by the student and system jointly negotiating the learner model. We present the initial investigations into a system to allow people to negotiate the model of their understanding of a topic in natural language. This paper discusses the development and capabilities of both conversational agents (or chatbots) and Intelligent Tutoring Systems, in particular Open Learner Modelling. We describe a Wizard-of-Oz experiment to investigate the feasibility of using a chatbot to support negotiation, and conclude that a fusion of the two fields can lead to developing negotiation techniques for chatbots and the enhancement of the Open Learner Model. This technology, if successful, could have widespread application in schools, universities and other training scenarios.

Before and Beyond Anticipatory Intelligence: Assessing the Potential for Crowdsourcing and Intelligence Studies

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Alexander Halman

2015-10-01

Full Text Available Crowdsourcing is a new tool for businesses, academics, and now intelligence analysts. Enabled by recent technology, crowdsourcing allows researchers to harness the wisdom of crowds and provide recommendations and insight into complex problems. This paper examines the potential benefits and limitations of crowdsourcing for intelligence analysis and the intelligence community beyond its primary use: anticipatory intelligence. The author constructs a model and compares it to existing crowdsourcing theories in business, information science, and public policy. Finally, he offers advice for intelligence analysis and public policy.

Intelligent technology for construction of tutoring integrated expert systems: new aspects

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Galina V. Rybina

2017-01-01

Full Text Available The main aim of this paper is to acquaint readers of the journal “Open Education” with the accumulated experience of construction and practical use in the educational process of Cybernetics Department of the National Research Nuclear University MEPhI of a special class of intelligent tutoring systems, based on the architectures of tutoring integrated expert systems. The development is carried out on the problem-oriented methodology basis and intelligent software environment of AT-TECHNOLOGY workbench. They provide automation of support of all the stages of construction and maintenance of the life cycle of such systems.In the context of basic models, methods, algorithms and tools that implement the conceptual foundations of a problem-oriented methodology, and which are evolutionarily developed and experimentally investigated in the process of constructing various architectures of training integrated expert systems, including webbased ones, some features of the generalized model of intellectual learning and its components are considered (in particular, the competence-based model of the trainee, the adaptive tutoring model, the ontology model of the course /discipline et al. as well as methods and means of their realization in the current versions of tutoring integrated expert systems.In current versions of tutoring integrated expert systems examples of implementation of typical intelligent tutoring problems are described for the generalized ontology “Intelligent systems and technologies” (individual planning of the method of studying the training course, intelligent analysis of training tasks, intelligent support for decision making.A brief description of the conceptual foundations of the model of the intelligent software environment of the AT-TECHNOLOGY workbench is given and a description of some components of the model is presented with a focus on the basic components – intelligent planner, standard design procedures and reusable

Neuro-Based Artificial Intelligence Model for Loan Decisions

OpenAIRE

Shorouq F. Eletter; Saad G. Yaseen; Ghaleb A. Elrefae

2010-01-01

Problem statement: Despite the increase in consumer loans defaults and competition in the banking market, most of the Jordanian commercial banks are reluctant to use artificial intelligence software systems for supporting loan decisions. Approach: This study developed a proposed model that identifies artificial neural network as an enabling tool for evaluating credit applications to support loan decisions in the Jordanian Commercial banks. A multi-layer feed-forward neural network with backpr...

Multiple Intelligence Theory for Gifted Education: Criticisms and Implications

Science.gov (United States)

Calik, Basak; Birgili, Bengi

2013-01-01

This paper scrutinizes giftedness and gifted learners under the implications of multiple intelligence theory with regard to coaching young scientists. It is one of the pluralistic theories toward intelligence while supporting to view individuals as active participants during teaching and learning processes which correspond with the applications of…

Facilitating Multiple Intelligences through Multimodal Learning Analytics

Science.gov (United States)

Perveen, Ayesha

2018-01-01

This paper develops a theoretical framework for employing learning analytics in online education to trace multiple learning variations of online students by considering their potential of being multiple intelligences based on Howard Gardner's 1983 theory of multiple intelligences. The study first emphasizes the need to facilitate students as…

LIA: An Intelligent Advisor for E-Learning

Science.gov (United States)

Capuano, Nicola; Gaeta, Matteo; Marengo, Agostino; Miranda, Sergio; Orciuoli, Francesco; Ritrovato, Pierluigi

2009-01-01

Intelligent e-learning systems have revolutionized online education by providing individualized and personalized instruction for each learner. Nevertheless, until now very few systems were able to leave academic laboratories and be integrated into real commercial products. One of these few exceptions is the Learning Intelligent Advisor (LIA)…

Engaging Students Emotionally: The Role of Emotional Intelligence in Predicting Cognitive and Affective Engagement in Higher Education

Science.gov (United States)

Maguire, Rebecca; Egan, Arlene; Hyland, Philip; Maguire, Phil

2017-01-01

Student engagement is a key predictor of academic performance, persistence and retention in higher education. While many studies have identified how aspects of the college environment influence engagement, fewer have specifically focused on emotional intelligence (EI). In this study, we sought to explore whether EI could predict cognitive and/or…

THE COMPARISON OF EMOTIONAL INTELLIGENCE AND HAPPINESS OF THE PRESERVICE TEACHERS IN THE DEPARTMENT OF PHYSICAL EDUCATION AND SPORTS TEACHING WITH SOME PRESERVICE TEACHERS IN OTHER DEPARTMENTS

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Emre Ozan TİNGAZ

2014-07-01

Full Text Available The aim of this study is to compare the emotional intelligence and happiness of students who receive education in the departments of physical education and sports teaching, primary school mathematics teaching, music teaching and art teaching. This study was carried out via using relational screening model. The sample of the study was comprised of the students who received education in the departments of physical education and sports teaching, primary school mathematics teaching, music teaching and art teaching in Gazi University in the academic years of 2013 - 2014. The population of th is study included 434 students in total (N=434.The number of female students is (N=308 while the number of male students is (N=124. In this study, three different measure tools were used. These are Oxford Happiness Scale, Schutte Emotional Intelligence Scale and Personal Information Form. According to the result of the study, average of happiness values of the students in the department of physical education and sports teaching (114.33 ± 17.53 was found higher than the average values of the students in the department of primary school mathematics teaching. Average of use of Emotions and Evaluation of Emotions in the students who are in the department of music teaching (24,07±3,05 was found higher than the average values of the students in the department of primary school mathematics teaching.

The prediction of intelligence in preschool children using alternative models to regression.

Science.gov (United States)

Finch, W Holmes; Chang, Mei; Davis, Andrew S; Holden, Jocelyn E; Rothlisberg, Barbara A; McIntosh, David E

2011-12-01

Statistical prediction of an outcome variable using multiple independent variables is a common practice in the social and behavioral sciences. For example, neuropsychologists are sometimes called upon to provide predictions of preinjury cognitive functioning for individuals who have suffered a traumatic brain injury. Typically, these predictions are made using standard multiple linear regression models with several demographic variables (e.g., gender, ethnicity, education level) as predictors. Prior research has shown conflicting evidence regarding the ability of such models to provide accurate predictions of outcome variables such as full-scale intelligence (FSIQ) test scores. The present study had two goals: (1) to demonstrate the utility of a set of alternative prediction methods that have been applied extensively in the natural sciences and business but have not been frequently explored in the social sciences and (2) to develop models that can be used to predict premorbid cognitive functioning in preschool children. Predictions of Stanford-Binet 5 FSIQ scores for preschool-aged children is used to compare the performance of a multiple regression model with several of these alternative methods. Results demonstrate that classification and regression trees provided more accurate predictions of FSIQ scores than does the more traditional regression approach. Implications of these results are discussed.

Self-Adaptive Systems for Machine Intelligence

CERN Document Server

He, Haibo

2011-01-01

This book will advance the understanding and application of self-adaptive intelligent systems; therefore it will potentially benefit the long-term goal of replicating certain levels of brain-like intelligence in complex and networked engineering systems. It will provide new approaches for adaptive systems within uncertain environments. This will provide an opportunity to evaluate the strengths and weaknesses of the current state-of-the-art of knowledge, give rise to new research directions, and educate future professionals in this domain. Self-adaptive intelligent systems have wide application

Application of Contemporary Intelligence Models in Terms of Transformation and Security Sector Reform

OpenAIRE

Dojcinovski, Metodija; Ackoski, Jugoslav

2011-01-01

This paper presents a new approach to the contemporary methods of organizing, establishing and functioning of intelligence systems in a way of offering solutions against security threats and challenges of the 21st century. The effectiveness of implementing the measures and activities depends on the intelligence models, identified as functioning in relation to the structured elements of the represented and realistically created segments, standard operative procedures, security procedures and m...

An Intelligent Model for Stock Market Prediction

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IbrahimM. Hamed

2012-08-01

Full Text Available This paper presents an intelligent model for stock market signal prediction using Multi-Layer Perceptron (MLP Artificial Neural Networks (ANN. Blind source separation technique, from signal processing, is integrated with the learning phase of the constructed baseline MLP ANN to overcome the problems of prediction accuracy and lack of generalization. Kullback Leibler Divergence (KLD is used, as a learning algorithm, because it converges fast and provides generalization in the learning mechanism. Both accuracy and efficiency of the proposed model were confirmed through the Microsoft stock, from wall-street market, and various data sets, from different sectors of the Egyptian stock market. In addition, sensitivity analysis was conducted on the various parameters of the model to ensure the coverage of the generalization issue. Finally, statistical significance was examined using ANOVA test.

Artificial intelligence model for sustain ability measurement

International Nuclear Information System (INIS)

Navickiene, R.; Navickas, K.

2012-01-01

The article analyses the main dimensions of organizational sustain ability, their possible integrations into artificial neural network. In this article authors performing analyses of organizational internal and external environments, their possible correlations with 4 components of sustain ability, and the principal determination models for sustain ability of organizations. Based on the general principles of sustainable development organizations, a artificial intelligence model for the determination of organizational sustain ability has been developed. The use of self-organizing neural networks allows the identification of the organizational sustain ability and the endeavour to explore vital, social, antropogenical and economical efficiency. The determination of the forest enterprise sustain ability is expected to help better manage the sustain ability. (Authors)

Multiple Intelligences or Multiply Misleading: The Critic's View of the Multiple Intelligences Theory

Science.gov (United States)

Peariso, Jamon F.

2008-01-01

Howard Gardner's Multiple Intelligences (MI) theory has been widely accepted in the field of education for the past two decades. Most educators have been subjugated to the MI theory and to the many issues that its implementation in the classroom brings. This is often done without ever looking at or being presented the critic's view or research on…

The relationship between emotional intelligence, self-esteem, gender and educational success

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Mina Rahimi

2016-07-01

Full Text Available Identifying factors that contribute to academic achievement is important. Some studies suggest a direct correlation between emotional intelligence, self-esteem and academic achievement, but others disagree about any direct relationship. This study investigates the relationship between emotional intelligence, self-esteem and academic achievement. The sample consists of 300 university students who were selected through random sampling. Bar-on emotional Intelligence questionnaire and self-esteem test pop as well as the mean scores of students were used as academic achievement. To analyze research data, descriptive and inferential statistics were used. The results of data analysis show that emotional intelligence and self-esteem had no significant relationship with achievement. The findings also show that emotional intelligence was not different between male and female students, but the self-esteem of female students was more than male students. Therefore in considering effective factors in academic achievement just psychological constructs such as emotional intelligence, self- esteem cannot be stressed.

Knowledge Is Power for Medical Assistants: Crystallized and Fluid Intelligence As Predictors of Vocational Knowledge

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Anne Moehring

2018-02-01

Full Text Available Medical education research has focused almost entirely on the education of future physicians. In comparison, findings on other health-related occupations, such as medical assistants, are scarce. With the current study, we wanted to examine the knowledge-is-power hypothesis in a real life educational setting and add to the sparse literature on medical assistants. Acquisition of vocational knowledge in vocational education and training (VET was examined for medical assistant students (n = 448. Differences in domain-specific vocational knowledge were predicted by crystallized and fluid intelligence in the course of VET. A multiple matrix design with 3 year-specific booklets was used for the vocational knowledge tests of the medical assistants. The unique and joint contributions of the predictors were investigated with structural equation modeling. Crystallized intelligence emerged as the strongest predictor of vocational knowledge at every stage of VET, while fluid intelligence only showed weak effects. The present results support the knowledge-is-power hypothesis, even in a broad and more naturalistic setting. This emphasizes the relevance of general knowledge for occupations, such as medical assistants, which are more focused on learning hands-on skills than the acquisition of academic knowledge.

Knowledge Is Power for Medical Assistants: Crystallized and Fluid Intelligence As Predictors of Vocational Knowledge.

Science.gov (United States)

Moehring, Anne; Schroeders, Ulrich; Wilhelm, Oliver

2018-01-01

Medical education research has focused almost entirely on the education of future physicians. In comparison, findings on other health-related occupations, such as medical assistants, are scarce. With the current study, we wanted to examine the knowledge-is-power hypothesis in a real life educational setting and add to the sparse literature on medical assistants. Acquisition of vocational knowledge in vocational education and training (VET) was examined for medical assistant students ( n = 448). Differences in domain-specific vocational knowledge were predicted by crystallized and fluid intelligence in the course of VET. A multiple matrix design with 3 year-specific booklets was used for the vocational knowledge tests of the medical assistants. The unique and joint contributions of the predictors were investigated with structural equation modeling. Crystallized intelligence emerged as the strongest predictor of vocational knowledge at every stage of VET, while fluid intelligence only showed weak effects. The present results support the knowledge-is-power hypothesis, even in a broad and more naturalistic setting. This emphasizes the relevance of general knowledge for occupations, such as medical assistants, which are more focused on learning hands-on skills than the acquisition of academic knowledge.

A pilot study of the relationship between creativity, multiple intelligences and academic performance in compulsory education students

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Fabián Andrés Peña-García

2017-07-01

Full Text Available One of the main challenges at present is to achieve high - quality Education, one which takes into account, along with the whole teaching-learning process, the students’ diverse abilities, skills and cognitive, social and emotional aptitudes. The insertion of multiple intelligences, as well as variables such as creativity, may contribute to the development of singular capacities and students’ school performance. Studying the way these variables are related is imperative. The objective of this investigation consists in analyzing the link between Creativity, Multiple Intelligences and Academic Performance among Colombian primary school students. The design for this study is a non-experimental – descriptive – correlating focus, in which a sample of 40 subjects was studied; 20 girls and 20 boys with an age average of 10,051. All of them studying 5th grade in primary school at the Educational Institution Ana Elisa Cuenca Lara, branch Santa Ana, at the municipality of Yaguará – Hulia – Colombia. Their creativity was estimated through the use of two tests, one subjective, Turtle (1980, and one objective of execution EMUC, Sánchez (2006. To meet the Multiple Intelligences, it was applied a full specific inventory filled out by the valued students’ teachers, taken from Valero (2015. For the academic performance, the 2015’s subjects’ school record was taken as a reference. As statistical analysis, it was applied the descriptive – correlating (Person’s correlation coefficient, with the statistical software SPSS, version 2.2. The results obtained confirm all hypotheses contemplated, making evident a statistically meaningful and positive connection between the three variables analyzed. Finally, it analyzes the results for Multiple Intelligences and creativity as empowering strategies for the valued subjects’ academic development in this investigation’s sample

Emotionally intelligent teachers

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Rosario Cabello

2010-04-01

Full Text Available In this article, we describe the importance of complementing teachers’ training with the learning and development of social and emotional aspects. It is in this way that Emotional Intelligence (EI –understood as a complement of the cognitive development of teachers and students– is to play a role in the educational context. We review Mayer & Salovey’s ability model (1997, some of the programmes of socio-emotional improvement that are also designed for teachers and several activities for the development of teachers’ EI. In addition, we examine the implications for teachers derived from the development of their EI to enhance their capacity to appropriately perceive, understand and manage one’s own emotions and those of others.

Artificial Intelligence: The Expert Way.

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Bitter, Gary G.

1989-01-01

Discussion of artificial intelligence (AI) and expert systems focuses on their use in education. Characteristics of good expert systems are explained; computer software programs that contain applications of AI are described, highlighting one used to help educators identify learning-disabled students; and the future of AI is discussed. (LRW)

The implementation of multiple intelligences based teaching model to improve mathematical problem solving ability for student of junior high school

Science.gov (United States)

Fasni, Nurli; Fatimah, Siti; Yulanda, Syerli

2017-05-01

This research aims to achieve some purposes such as: to know whether mathematical problem solving ability of students who have learned mathematics using Multiple Intelligences based teaching model is higher than the student who have learned mathematics using cooperative learning; to know the improvement of the mathematical problem solving ability of the student who have learned mathematics using Multiple Intelligences based teaching model., to know the improvement of the mathematical problem solving ability of the student who have learned mathematics using cooperative learning; to know the attitude of the students to Multiple Intelligences based teaching model. The method employed here is quasi-experiment which is controlled by pre-test and post-test. The population of this research is all of VII grade in SMP Negeri 14 Bandung even-term 2013/2014, later on two classes of it were taken for the samples of this research. A class was taught using Multiple Intelligences based teaching model and the other one was taught using cooperative learning. The data of this research were gotten from the test in mathematical problem solving, scale questionnaire of the student attitudes, and observation. The results show the mathematical problem solving of the students who have learned mathematics using Multiple Intelligences based teaching model learning is higher than the student who have learned mathematics using cooperative learning, the mathematical problem solving ability of the student who have learned mathematics using cooperative learning and Multiple Intelligences based teaching model are in intermediate level, and the students showed the positive attitude in learning mathematics using Multiple Intelligences based teaching model. As for the recommendation for next author, Multiple Intelligences based teaching model can be tested on other subject and other ability.

Modeling the Structure and Effectiveness of Intelligence Organizations: Dynamic Information Flow Simulation

National Research Council Canada - National Science Library

Behrman, Robert; Carley, Kathleen

2003-01-01

This paper describes the Dynamic Information Flow Simulation (DIFS), an abstract model for analyzing the structure and function of intelligence support organizations and the activities of entities within...

Cultural Intelligence and Leadership Style in the Education Sector

Science.gov (United States)

Aldhaheri, Ali

2017-01-01

Purpose: Schools in UAE are multicultural in nature. In this context, cultural intelligence (CQ) is a tool, which can increase an individual's ability to interact with people outside his/her culture. The purpose of this paper is to explore the perceptions of the school leaders regarding the key influences of cultural intelligence on their ability…

Socio-Demographic Indicators, Intelligence, and Locus of Control as Predictors of Adult Financial Well-Being

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Adrian Furnham

2017-04-01

Full Text Available The current study investigated a longitudinal data set of 4790 adults examining a set of socio-demographic and psychological factors that influence adult financial well-being. Parental social status (at birth, childhood intelligence and self-esteem (at age 10, locus of control (at age 16, psychological distress (age 30, educational qualifications (age 34, current occupation, weekly net income, house ownership status, and number of rooms (all measured at age 38 years were examined. Structural Equation Modelling showed that childhood intelligence, locus of control, education and occupation were all independent predictors of adult financial well-being for both men and women. Parental social status and psychological distress were also significant predictors of the outcome variable for men, but not for women. Whereas for women, in comparison to men, the effects of current occupation and childhood intelligence on the outcome variable appeared to be stronger. The strongest predictor of adult financial well-being was current occupational prestige, followed by educational achievement. The gender deferential of financial well-being indicators and its implications are discussed.

Artificial intelligence in process control: Knowledge base for the shuttle ECS model

Science.gov (United States)

Stiffler, A. Kent

1989-01-01

The general operation of KATE, an artificial intelligence controller, is outlined. A shuttle environmental control system (ECS) demonstration system for KATE is explained. The knowledge base model for this system is derived. An experimental test procedure is given to verify parameters in the model.

Soft computing in artificial intelligence

CERN Document Server

Matson, Eric

2014-01-01

This book explores the concept of artificial intelligence based on knowledge-based algorithms. Given the current hardware and software technologies and artificial intelligence theories, we can think of how efficient to provide a solution, how best to implement a model and how successful to achieve it. This edition provides readers with the most recent progress and novel solutions in artificial intelligence. This book aims at presenting the research results and solutions of applications in relevance with artificial intelligence technologies. We propose to researchers and practitioners some methods to advance the intelligent systems and apply artificial intelligence to specific or general purpose. This book consists of 13 contributions that feature fuzzy (r, s)-minimal pre- and β-open sets, handling big coocurrence matrices, Xie-Beni-type fuzzy cluster validation, fuzzy c-regression models, combination of genetic algorithm and ant colony optimization, building expert system, fuzzy logic and neural network, ind...

Optimal model of economic diplomacy of Republic of Croatia in the contexst of global intelligence revolution

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Zdravko Bazdan

2010-12-01

Full Text Available The aim of this study is to point to the fact that economic diplomacy is a relatively new practice in international economics, specifically the expansion of the occurrence of Intelligence Revolution. The history in global relations shows that without economic diplomacy there is no optimal economic growth and social development. It is important to note that economic diplomacy should be important for our country and the political elite, as well as for the administration of Croatian economic subjects that want to compete in international market economy. Comparative analysis are particularly highlighted by French experience. Therefore, Croatia should copy the practice of those countries that are successful in economic diplomacy. And in the curricula - especially of our economic faculties - we should introduce the course of Economic Diplomacy. It is important to note, that in order to form our optimal model of economic diplomacy which would be headed by the President of Republic of Croatia formula should be based on: Intelligence Security Agency (SOA, Intelligence Service of the Ministry of Foreign Affairs and European Integration, Intelligence Service of the Croatian Chamber of Commerce and the Intelligence Service of the Ministry of Economy, Labor and Entrepreneurship. Described model would consist of intelligence subsystem with at least twelve components.

Emotional intelligence in South African women leaders in higher education

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Claude-Hélène Mayer

2017-02-01

Full Text Available Orientation: This study contributes to an in-depth understanding of emotional intelligence (EI in women leaders in Higher Education Institutions (HEIs in South Africa from an inside perspective. Research purpose: The purpose of this study is to explore EI in South African women leaders working in HEIs to identify women leader’s strengths, foci and their possible areas of development. The aim is to get deeper insights in EI in women leaders because EI is associated with effective leadership qualities, creativity and innovation, as well as empathetic communication which is needed in the challenging HEI workplaces. Motivation for the study: Emotional intelligence is an important source for women leaders to increase leadership qualities. This study is motivated by a deep interest to explore aspects of EI in women leaders in this specific professional context. Research design, approach and method: The study uses a qualitative research design and an approach based on Dilthey’s modern hermeneutics of ‘Verstehen’ (understanding. Twenty-three women leaders of the Higher Education Research Service (HERS-SA network were interviewed through semi-structured interviews. One researcher observed behaviour in one HEI to support the interpretation of the data. Data were analysed through content analysis. Main findings: Findings show that women leaders mainly refer to intrapersonal emotional quotient (EQ, followed by interpersonal EQ, adaptability, stress management and, finally, general mood. The most highly rated components of EQ are self-regard, followed by interpersonal relationships, problem solving, empathy, emotional self-awareness, assertiveness, impulse control and social responsibility. Findings also provide ideas on what EQ components can be further developed. Practical/managerial implications: New insights are provided on what components of EI should be developed in women leaders to increase overall EI, on cognitive and behavioural levels

Social origin, schooling and individual change in intelligence during childhood influence long-term mortality: a 68-year follow-up study.

Science.gov (United States)

Lager, Anton C J; Modin, Bitte E; De Stavola, Bianca L; Vågerö, Denny H

2012-04-01

Intelligence at a single time-point has been linked to health outcomes. An individual's IQ increases with longer schooling, but the validity of such increase is unclear. In this study, we assess the hypothesis that individual change in the performance on IQ tests between ages 10 and 20 years is associated with mortality later in life. The analyses are based on a cohort of Swedish boys born in 1928 (n = 610) for whom social background data were collected in 1937, IQ tests were carried out in 1938 and 1948 and own education and mortality were recorded up to 2006. Structural equation models were used to estimate the extent to which two latent intelligence scores, at ages 10 and 20 years, manifested by results on the IQ tests, are related to paternal and own education, and how all these variables are linked to all-cause mortality. Intelligence at the age of 20 years was associated with lower mortality in adulthood, after controlling for intelligence at the age of 10 years. The increases in intelligence partly mediated the link between longer schooling and lower mortality. Social background differences in adult intelligence (and consequently in mortality) were partly explained by the tendency for sons of more educated fathers to receive longer schooling, even when initial intelligence levels had been accounted for. The results are consistent with a causal link from change in intelligence to mortality, and further, that schooling-induced changes in IQ scores are true and bring about lasting changes in intelligence. In addition, if both these interpretations are correct, social differences in access to longer schooling have consequences for social differences in both adult intelligence and adult health.

Intelligence, income, and education as potential influences on a child's home environment: A (maternal) sibling-comparison design.

Science.gov (United States)

Hadd, Alexandria Ree; Rodgers, Joseph Lee

2017-07-01

The quality of the home environment, as a predictor, is related to health, education, and emotion outcomes. However, factors influencing the quality of the home environment, as an outcome, have been understudied-particularly how children construct their own environments. Further, most previous research on family processes and outcomes has implemented between-family designs, which limit claims of causality. The present study uses kinship data from the National Longitudinal Survey of Youth to construct a maternal sibling-comparison design to investigate how maternal and child traits predict the quality of home environment. Using a standard between-family analysis, we first replicate previous research showing a relationship between maternal intelligence and the quality of the home environment. Then, we reevaluate the link between maternal intelligence and the home environment using differences between maternal sisters on several characteristics to explain differences between home environments for their children. Following, we evaluate whether child intelligence differences are related to home environment differences in the presence of maternal characteristics. Results are compared with those from the between-family analysis. Past causal interpretations are challenged by our findings, and the role of child intelligence in the construction of the home environment emerges as a critical contributor that increases in importance with development. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

Intelligent systems

CERN Document Server

Irwin, J David

2011-01-01

Technology has now progressed to the point that intelligent systems are replacing humans in the decision making processes as well as aiding in the solution of very complex problems. In many cases intelligent systems are already outperforming human activities. Artificial neural networks are not only capable of learning how to classify patterns, such images or sequence of events, but they can also effectively model complex nonlinear systems. Their ability to classify sequences of events is probably more popular in industrial applications where there is an inherent need to model nonlinear system

Position Paper on Intelligent Supply Chains

DEFF Research Database (Denmark)

Møller, Charles

This paper is intended to present and to analyze the concept of the Intelligent Supply Chain (ISC). The purpose of the paper is to: 1) Clarify the concept of the intelligent supply chain; 2) Identify emerging research opportunities; and 3) Specify a research engagement model for further explorati...... of intelligent supply chains. It is concluded that information management is critical to intelligent supply chains and a research agenda is outlined.......This paper is intended to present and to analyze the concept of the Intelligent Supply Chain (ISC). The purpose of the paper is to: 1) Clarify the concept of the intelligent supply chain; 2) Identify emerging research opportunities; and 3) Specify a research engagement model for further exploration...... the concept of Intelligent Supply Chain and to establish an overall perspective based on information management. The claim made here is that the notion of the intelligent enterprise contributes with a new perspective on supply chain management that addresses the current challenges in an industrial supply...

Implications of State Dental Board Disciplinary Actions for Teaching Dental Students About Emotional Intelligence.

Science.gov (United States)

Munk, Lyle Kris

2016-01-01

The primary emphasis in dental education is on developing students' cognitive intelligence (thinking) and technical intelligence (doing), while emotional intelligence (being) receives less emphasis. The aim of this study was to explore a potential consequence of the paucity of emotional intelligence education by determining the level of emotional intelligence-related (EI-R) infractions in state dental board disciplinary actions and characterizing the types of those infractions. For this study, 1,100 disciplinary action reports from 21 state dental boards were reviewed, and disciplinary infractions were classified as cognitive intelligence-related (CI-R) infractions, technical intelligence-related (TI-R) infractions, and EI-R infractions. EI-R infractions were then subcategorized into emotional intelligence clusters and competencies using the Emotional and Social Competency Inventory (ESCI). The results showed that 56.6% of the infractions were EI-R. When the EI-R infractions were subcategorized, the four competencies most frequently violated involved transparency, teamwork and collaboration, organizational awareness, and accurate self-assessment. Understanding the frequency and nature of EI-R infractions may promote awareness of the need for increased attention to principles of emotional intelligence in dental education and may encourage integration of those principles across dental curricula to help students understand the impact of emotional intelligence on their future well-being and livelihood.

CONTRIBUTION OF EMOTIONAL INTELLIGENCE IN OUR EDUCATION SYSTEM

OpenAIRE

K.Vijayalakshmi

2017-01-01

Emotional Intelligence (EI) also known as Emotional Quotient (EQ) is one of the hot topics among Teachers and learners. Emotional Intelligence (EI) has had a huge impact on management since Daniel Goleman (1995) published his book popular book on EI for a wider audience. From fairly humble beginnings. EI has come into its own as one of the most popular psychological concepts of the last decade. EI has been used by some as an umbrella term that comprises elements such as ‘soft skills’, ‘people...

Experimental Exploration of RSSI Model for the Vehicle Intelligent Position System

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Zhichao Cao

2015-01-01

Full Text Available Vehicle intelligent position systems based on Received Signal Strength Indicator (RSSI in Wireless Sensor Networks (WSNs are efficiently utilized. The vehicle’s position accuracy is of great importance for transportation behaviors, such as dynamic vehicle routing problems and multiple pedestrian routing choice behaviors and so on. Therefore, a precise position and available optimization is necessary for total parameters of conventional RSSI model. In this papar, we investigate the experimental performance of translating the power measurements to corresponding distance between each pair of nodes. The priori knowledge about the environment interference could impact the accuracy of vehicles’s position and the reliability of paremeters greatly. Based on the real-world outdoor experiments, we compares different regression analysis of the RSSI model, in order to establish a calibration scheme on RSSI model. We showed that the average error of RSSI model is able to decrease throughout the rules of environmental factor n and shadowing factor ? respectively. Moreover, the calculation complexity is reduced. Since variation tendency of environmental factor n, shadowing factor ? with distance and signal strength could be simulated respectively, RSSI model fulfills the precision of the vehicle intelligent position system.

Family background buys an education in Minnesota but not in Sweden.

Science.gov (United States)

Johnson, Wendy; Deary, Ian J; Silventoinen, Karri; Tynelius, Per; Rasmussen, Finn

2010-09-01

Educational attainment, the highest degree or level of schooling obtained, is associated with important life outcomes, at both the individual level and the group level. Because of this, and because education is expensive, the allocation of education across society is an important social issue. A dynamic quantitative environmental-genetic model can help document the effects of social allocation patterns. We used this model to compare the moderating effect of general intelligence on the environmental and genetic factors that influence educational attainment in Sweden and the U.S. state of Minnesota. Patterns of genetic influence on educational outcomes were similar in these two regions, but patterns of shared environmental influence differed markedly. In Sweden, shared environmental influence on educational attainment was particularly important for people of high intelligence, whereas in Minnesota, shared environmental influences on educational attainment were particularly important for people of low intelligence. This difference may be the result of differing access to education: state-supported access (on the basis of ability) to a uniform higher-education system in Sweden versus family-supported access to a more diverse higher-education system in the United States.

Is the association between offspring intelligence and parents' educational attainment influenced by schizophrenia or mood disorder in parents?

DEFF Research Database (Denmark)

Greve, Aja Neergaard; Mors, Ole; Mortensen, Erik Lykke

2017-01-01

,531) the presence of a mental disorder in the parents were associated with significantly lower offspring scores on a test of general intelligence, the Børge Priens Prøve (BPP), and higher educational attainment in parents was significantly associated with higher BPP test scores in offspring. A significant...

Parenting Styles and Children's Emotional Intelligence: What Do We Know?

Science.gov (United States)

Alegre, Alberto

2011-01-01

The theory of emotional intelligence has elicited great interest both in the academic and the nonacademic world. Therapists, educators, and parents want to know what they can do to help children develop their emotional intelligence. However, most of the research in this field has investigated adults' emotional intelligence. This study reviews the…

A generic model for camera based intelligent road crowd control ...

African Journals Online (AJOL)

This research proposes a model for intelligent traffic flow control by implementing camera based surveillance and feedback system. A series of cameras are set minimum three signals ahead from the target junction. The complete software system is developed to help integrating the multiple camera on road as feedback to ...

Research on application of intelligent computation based LUCC model in urbanization process

Science.gov (United States)

Chen, Zemin

2007-06-01

Global change study is an interdisciplinary and comprehensive research activity with international cooperation, arising in 1980s, with the largest scopes. The interaction between land use and cover change, as a research field with the crossing of natural science and social science, has become one of core subjects of global change study as well as the front edge and hot point of it. It is necessary to develop research on land use and cover change in urbanization process and build an analog model of urbanization to carry out description, simulation and analysis on dynamic behaviors in urban development change as well as to understand basic characteristics and rules of urbanization process. This has positive practical and theoretical significance for formulating urban and regional sustainable development strategy. The effect of urbanization on land use and cover change is mainly embodied in the change of quantity structure and space structure of urban space, and LUCC model in urbanization process has been an important research subject of urban geography and urban planning. In this paper, based upon previous research achievements, the writer systematically analyzes the research on land use/cover change in urbanization process with the theories of complexity science research and intelligent computation; builds a model for simulating and forecasting dynamic evolution of urban land use and cover change, on the basis of cellular automation model of complexity science research method and multi-agent theory; expands Markov model, traditional CA model and Agent model, introduces complexity science research theory and intelligent computation theory into LUCC research model to build intelligent computation-based LUCC model for analog research on land use and cover change in urbanization research, and performs case research. The concrete contents are as follows: 1. Complexity of LUCC research in urbanization process. Analyze urbanization process in combination with the contents

Can Personality Traits and Intelligence Compensate for Background Disadvantage? Predicting Status Attainment in Adulthood

Science.gov (United States)

Damian, Rodica Ioana; Su, Rong; Shanahan, Michael; Trautwein, Ulrich; Roberts, Brent W.

2014-01-01

This paper investigates the interplay of family background and individual differences, such as personality traits and intelligence (measured in a large US representative sample of high school students; N = 81,000) in predicting educational attainment, annual income, and occupational prestige eleven years later. Specifically, we tested whether individual differences followed one of three patterns in relation to parental SES when predicting attained status: (a) the independent effects hypothesis (i.e., individual differences predict attainments independent of parental SES level), (b) the resource substitution hypothesis (i.e., individual differences are stronger predictors of attainments at lower levels of parental SES), and (c) the Matthew effect hypothesis (i.e., “the rich get richer,” individual differences are stronger predictors of attainments at higher levels of parental SES). We found that personality traits and intelligence in adolescence predicted later attained status above and beyond parental SES. A standard deviation increase in individual differences translated to up to 8 additional months of education, $4,233 annually, and more prestigious occupations. Furthermore, although we did find some evidence for both the resource substitution and the Matthew effect hypotheses, the most robust pattern across all models supported the independent effects hypothesis. Intelligence was the exception, where interaction models were more robust. Finally, we found that although personality traits may help compensate for background disadvantage to a small extent, they do not usually lead to a “full catch up” effect, unlike intelligence. This was the first longitudinal study of status attainment to test interactive models of individual differences and background factors. PMID:25402679

Can personality traits and intelligence compensate for background disadvantage? Predicting status attainment in adulthood.

Science.gov (United States)

Damian, Rodica Ioana; Su, Rong; Shanahan, Michael; Trautwein, Ulrich; Roberts, Brent W

2015-09-01

This study investigated the interplay of family background and individual differences, such as personality traits and intelligence (measured in a large U.S. representative sample of high school students; N = 81,000) in predicting educational attainment, annual income, and occupational prestige 11 years later. Specifically, we tested whether individual differences followed 1 of 3 patterns in relation to parental socioeconomic status (SES) when predicting attained status: (a) the independent effects hypothesis (i.e., individual differences predict attainments independent of parental SES level), (b) the resource substitution hypothesis (i.e., individual differences are stronger predictors of attainments at lower levels of parental SES), and (c) the Matthew effect hypothesis (i.e., "the rich get richer"; individual differences are stronger predictors of attainments at higher levels of parental SES). We found that personality traits and intelligence in adolescence predicted later attained status above and beyond parental SES. A standard deviation increase in individual differences translated to up to 8 additional months of education, $4,233 annually, and more prestigious occupations. Furthermore, although we did find some evidence for both the resource substitution and the Matthew effect hypotheses, the most robust pattern across all models supported the independent effects hypothesis. Intelligence was the exception, the interaction models being more robust. Finally, we found that although personality traits may help compensate for background disadvantage to a small extent, they do not usually lead to a "full catch-up" effect, unlike intelligence. This was the first longitudinal study of status attainment to test interactive models of individual differences and background factors. (c) 2015 APA, all rights reserved).

System dynamics modeling of the impact of Internet-of-Things on intelligent urban transportation

OpenAIRE

Marshall, Phil

2015-01-01

Urban transportation systems are at the cusp of a major transformation that capitalizes on the proliferation of the Internet-of-Things (IoT), autonomous and cooperative vehicular and intelligent roadway technologies, advanced traffic management systems, and big data analytics. The benefits of these smart-transportation technologies were investigated using System Dynamics modeling, with particular emphasis towards vehicle sharing, intelligent highway systems, and smart-parking solutions. The m...

THE EFFECTS OF LEARNING MODELS AND LINGUISTIC INTELLIGENCE ON THE PERSUASIVE WRITING SKILL

OpenAIRE

Yusri, Yusri; Emzir, Emzir

2017-01-01

The objective of this study is to know the effects of learning models (problem solving and project based learning) and linguistic intelligence  on the students of persuasive writing skill of the fourth semester students  of English Department, State Polytechnic of Sriwijaya Palembang, in the academic year of 2016-2017. The writer used linguistic intelligence test and persuasive writing test to collect the data. The data was analyzed  statistically by using two-factor ANOVA a...

INTELLIGENT TUTORING SYSTEM FOR DISTANCE EDUCATION

Directory of Open Access Journals (Sweden)

Jose Dutra de Oliveira Neto

2012-04-01

Full Text Available This study aims to develop and implement a tool called intelligent tutoring system in an online course to help a formative evaluation in order to improve student learning. According to Bloom et al. (1971,117 formative evaluation is a systematic evaluation to improve the process of teaching and learning. The intelligent tutoring system may provides a timely and high quality feedback that not only inform the correctness of the solution to the problem, but also informs the students about the accuracy of the response relative to their current knowledge about the solution. Constructive and supportive feedback should be given to the students to reveal the right and wrong answers immediately after taking the test. A feedback about the right answers is a form to reinforce positive behaviors. Identifying possible errors and relating them to the instruction material may help student to strengthen the content under consideration. The remedial suggestion should be given for each answer with detailed prescription with regards the materials and instructional procedures before taking next step. The main idea is to inform the students what he has learned and what he still has to learn. The open-source LMS called Moodle™ was extended to accomplish the formative evaluation, high-quality feedback, and communal knowledge presented here with a short online financial math course that is being offered at a large University in Brazil. The preliminary results shows that the intelligent tutoring system using high quality feedback helped the students to improve their knowledge about the solution to the problems based on the errors of their past cohorts. The results and suggestion for future work are presented and discussed.

Development of intelligent model for personalized guidance on wheelchair tilt and recline usage for people with spinal cord injury: methodology and preliminary report.

Science.gov (United States)

Fu, Jicheng; Jones, Maria; Jan, Yih-Kuen

2014-01-01

Wheelchair tilt and recline functions are two of the most desirable features for relieving seating pressure to decrease the risk of pressure ulcers. The effective guidance on wheelchair tilt and recline usage is therefore critical to pressure ulcer prevention. The aim of this study was to demonstrate the feasibility of using machine learning techniques to construct an intelligent model to provide personalized guidance to individuals with spinal cord injury (SCI). The motivation stems from the clinical evidence that the requirements of individuals vary greatly and that no universal guidance on tilt and recline usage could possibly satisfy all individuals with SCI. We explored all aspects involved in constructing the intelligent model and proposed approaches tailored to suit the characteristics of this preliminary study, such as the way of modeling research participants, using machine learning techniques to construct the intelligent model, and evaluating the performance of the intelligent model. We further improved the intelligent model's prediction accuracy by developing a two-phase feature selection algorithm to identify important attributes. Experimental results demonstrated that our approaches held the promise: they could effectively construct the intelligent model, evaluate its performance, and refine the participant model so that the intelligent model's prediction accuracy was significantly improved.

Intelligent diagnosis of jaundice with dynamic uncertain causality graph model*

Science.gov (United States)

Hao, Shao-rui; Geng, Shi-chao; Fan, Lin-xiao; Chen, Jia-jia; Zhang, Qin; Li, Lan-juan

2017-01-01

Jaundice is a common and complex clinical symptom potentially occurring in hepatology, general surgery, pediatrics, infectious diseases, gynecology, and obstetrics, and it is fairly difficult to distinguish the cause of jaundice in clinical practice, especially for general practitioners in less developed regions. With collaboration between physicians and artificial intelligence engineers, a comprehensive knowledge base relevant to jaundice was created based on demographic information, symptoms, physical signs, laboratory tests, imaging diagnosis, medical histories, and risk factors. Then a diagnostic modeling and reasoning system using the dynamic uncertain causality graph was proposed. A modularized modeling scheme was presented to reduce the complexity of model construction, providing multiple perspectives and arbitrary granularity for disease causality representations. A “chaining” inference algorithm and weighted logic operation mechanism were employed to guarantee the exactness and efficiency of diagnostic reasoning under situations of incomplete and uncertain information. Moreover, the causal interactions among diseases and symptoms intuitively demonstrated the reasoning process in a graphical manner. Verification was performed using 203 randomly pooled clinical cases, and the accuracy was 99.01% and 84.73%, respectively, with or without laboratory tests in the model. The solutions were more explicable and convincing than common methods such as Bayesian Networks, further increasing the objectivity of clinical decision-making. The promising results indicated that our model could be potentially used in intelligent diagnosis and help decrease public health expenditure. PMID:28471111

Intelligent diagnosis of jaundice with dynamic uncertain causality graph model.

Science.gov (United States)

Hao, Shao-Rui; Geng, Shi-Chao; Fan, Lin-Xiao; Chen, Jia-Jia; Zhang, Qin; Li, Lan-Juan

2017-05-01

Jaundice is a common and complex clinical symptom potentially occurring in hepatology, general surgery, pediatrics, infectious diseases, gynecology, and obstetrics, and it is fairly difficult to distinguish the cause of jaundice in clinical practice, especially for general practitioners in less developed regions. With collaboration between physicians and artificial intelligence engineers, a comprehensive knowledge base relevant to jaundice was created based on demographic information, symptoms, physical signs, laboratory tests, imaging diagnosis, medical histories, and risk factors. Then a diagnostic modeling and reasoning system using the dynamic uncertain causality graph was proposed. A modularized modeling scheme was presented to reduce the complexity of model construction, providing multiple perspectives and arbitrary granularity for disease causality representations. A "chaining" inference algorithm and weighted logic operation mechanism were employed to guarantee the exactness and efficiency of diagnostic reasoning under situations of incomplete and uncertain information. Moreover, the causal interactions among diseases and symptoms intuitively demonstrated the reasoning process in a graphical manner. Verification was performed using 203 randomly pooled clinical cases, and the accuracy was 99.01% and 84.73%, respectively, with or without laboratory tests in the model. The solutions were more explicable and convincing than common methods such as Bayesian Networks, further increasing the objectivity of clinical decision-making. The promising results indicated that our model could be potentially used in intelligent diagnosis and help decrease public health expenditure.

Multidimensional Learner Model In Intelligent Learning System

Science.gov (United States)

Deliyska, B.; Rozeva, A.

2009-11-01

The learner model in an intelligent learning system (ILS) has to ensure the personalization (individualization) and the adaptability of e-learning in an online learner-centered environment. ILS is a distributed e-learning system whose modules can be independent and located in different nodes (servers) on the Web. This kind of e-learning is achieved through the resources of the Semantic Web and is designed and developed around a course, group of courses or specialty. An essential part of ILS is learner model database which contains structured data about learner profile and temporal status in the learning process of one or more courses. In the paper a learner model position in ILS is considered and a relational database is designed from learner's domain ontology. Multidimensional modeling agent for the source database is designed and resultant learner data cube is presented. Agent's modules are proposed with corresponding algorithms and procedures. Multidimensional (OLAP) analysis guidelines on the resultant learner module for designing dynamic learning strategy have been highlighted.

The Relationships between Human Capital, Implicit Views of Intelligence, and Literacy Performance: Implications for the Obama Education Era

Science.gov (United States)

Williams, Rihana S.; Ari, Omer; Dortch, Cedrick

2011-01-01

African American adolescents from families with low levels of human capital (i.e., caregiver level of education) are at risk for poor early adult outcomes. The current study examined the relationships among 48 African American high school students' literacy performance (e.g., reading and vocabulary), their implicit views of intelligence, their…

Finite-element-model updating using computational intelligence techniques applications to structural dynamics

CERN Document Server

Marwala, Tshilidzi

2010-01-01

Finite element models (FEMs) are widely used to understand the dynamic behaviour of various systems. FEM updating allows FEMs to be tuned better to reflect measured data and may be conducted using two different statistical frameworks: the maximum likelihood approach and Bayesian approaches. Finite Element Model Updating Using Computational Intelligence Techniques applies both strategies to the field of structural mechanics, an area vital for aerospace, civil and mechanical engineering. Vibration data is used for the updating process. Following an introduction a number of computational intelligence techniques to facilitate the updating process are proposed; they include: • multi-layer perceptron neural networks for real-time FEM updating; • particle swarm and genetic-algorithm-based optimization methods to accommodate the demands of global versus local optimization models; • simulated annealing to put the methodologies into a sound statistical basis; and • response surface methods and expectation m...

Artificial intelligence and finite element modelling for monitoring flood defence structures

NARCIS (Netherlands)

Pyayt, A.L.; Mokhov, I.I.; Kozionov, A.; Kusherbaeva, V.; Melnikova, N.B.; Krzhizhanovskaya, V.V.; Meijer, R.J.

2011-01-01

We present a hybrid approach to monitoring the stability of flood defence structures equipped with sensors. This approach combines the finite element modelling with the artificial intelligence for real-time signal processing and anomaly detection. This combined method has been developed for the

Corticonic models of brain mechanisms underlying cognition and intelligence

Science.gov (United States)

Farhat, Nabil H.

The concern of this review is brain theory or more specifically, in its first part, a model of the cerebral cortex and the way it: (a) interacts with subcortical regions like the thalamus and the hippocampus to provide higher-level-brain functions that underlie cognition and intelligence, (b) handles and represents dynamical sensory patterns imposed by a constantly changing environment, (c) copes with the enormous number of such patterns encountered in a lifetime by means of dynamic memory that offers an immense number of stimulus-specific attractors for input patterns (stimuli) to select from, (d) selects an attractor through a process of “conjugation” of the input pattern with the dynamics of the thalamo-cortical loop, (e) distinguishes between redundant (structured) and non-redundant (random) inputs that are void of information, (f) can do categorical perception when there is access to vast associative memory laid out in the association cortex with the help of the hippocampus, and (g) makes use of “computation” at the edge of chaos and information driven annealing to achieve all this. Other features and implications of the concepts presented for the design of computational algorithms and machines with brain-like intelligence are also discussed. The material and results presented suggest, that a Parametrically Coupled Logistic Map network (PCLMN) is a minimal model of the thalamo-cortical complex and that marrying such a network to a suitable associative memory with re-entry or feedback forms a useful, albeit, abstract model of a cortical module of the brain that could facilitate building a simple artificial brain. In the second part of the review, the results of numerical simulations and drawn conclusions in the first part are linked to the most directly relevant works and views of other workers. What emerges is a picture of brain dynamics on the mesoscopic and macroscopic scales that gives a glimpse of the nature of the long sought after brain code

The relationship between emotional intelligence, self-esteem, gender and educational success

OpenAIRE

Mina Rahimi

2016-01-01

Identifying factors that contribute to academic achievement is important. Some studies suggest a direct correlation between emotional intelligence, self-esteem and academic achievement, but others disagree about any direct relationship. This study investigates the relationship between emotional intelligence, self-esteem and academic achievement. The sample consists of 300 university students who were selected through random sampling. Bar-on emotional Intelligence questionnaire and self-esteem...

Heuristic decision model for intelligent nuclear power systems design

International Nuclear Information System (INIS)

Nassersharif, B.; Portal, M.G.; Gaeta, M.J.

1989-01-01

The objective of this project was to investigate intelligent nuclear power systems design. A theoretical model of the design process has been developed. A fundamental process in this model is the heuristic decision making for design (i.e., selection of methods, components, materials, etc.). Rule-based expert systems do not provide the completeness that is necessary to generate good design. A new method, based on the fuzzy set theory, has been developed and is presented here. A feedwater system knowledge base (KB) was developed for a prototype software experiment to benchmark the theory

Intelligent Integrated System Health Management

Science.gov (United States)

Figueroa, Fernando

2012-01-01

Intelligent Integrated System Health Management (ISHM) is the management of data, information, and knowledge (DIaK) with the purposeful objective of determining the health of a system (Management: storage, distribution, sharing, maintenance, processing, reasoning, and presentation). Presentation discusses: (1) ISHM Capability Development. (1a) ISHM Knowledge Model. (1b) Standards for ISHM Implementation. (1c) ISHM Domain Models (ISHM-DM's). (1d) Intelligent Sensors and Components. (2) ISHM in Systems Design, Engineering, and Integration. (3) Intelligent Control for ISHM-Enabled Systems

Recent progress in competitive intelligence, competitive technical intelligence and knowledge management

Directory of Open Access Journals (Sweden)

Dou Henri

2011-04-01

Full Text Available This paper discusses the role of competitive intelligence and knowledge management to create, maintain and sustain competitive advantages. The triple helix model, based on the integration of the public sector (government, business models (private corporations and universities to promote innovation is examined. Research trends in competitive intelligence are presented. It concludes that the systematic use of the technology monitoring should support the comparison between various business models of companies that hold the market best practices and form a basis to knowledge for the decision making process and strategies development.

Intelligence in Artificial Intelligence

OpenAIRE

Datta, Shoumen Palit Austin

2016-01-01

The elusive quest for intelligence in artificial intelligence prompts us to consider that instituting human-level intelligence in systems may be (still) in the realm of utopia. In about a quarter century, we have witnessed the winter of AI (1990) being transformed and transported to the zenith of tabloid fodder about AI (2015). The discussion at hand is about the elements that constitute the canonical idea of intelligence. The delivery of intelligence as a pay-per-use-service, popping out of ...

Artificial intelligence-based modeling and control of fluidized bed combustion

Energy Technology Data Exchange (ETDEWEB)

Ikonen, E.; Leppaekoski, K. (Univ. of Oulu, Dept. of Process and Environmental Engineering (Finland)). email: enso.ikonen@oulu.fi

2009-07-01

AI-inspired techniques have a lot to offer when developing methods for advanced identification, monitoring, control and optimization of industrial processes, such as power plants. Advanced control methods have been extensively examined in the research of the Power Plant Automation group at the Systems Engineering Laboratory, e.g., in fuel inventory modelling, combustion power control, modelling and control of flue gas oxygen, drum control, modelling and control of superheaters, or in optimization of flue-gas emissions. Most engineering approaches to artificial intelligence (AI) are characterized by two fundamental properties: the ability to learn from various sources and the ability to deal with plant complexity. Learning systems that are able to operate in uncertain environments based on incomplete information are commonly referred to as being intelligent. A number of other approaches exist, characterized by these properties, but not easily categorized as AI-systems. Advanced control methods (adaptive, predictive, multivariable, robust, etc.) are based on the availability of a model of the process to be controlled. Hence identification of processes becomes a key issue, leading to the use of adaptation and learning techniques. A typical learning control system concerns a selection of learning techniques applied for updating a process model, which in turn is used for the controller design. When design of learning control systems is complemented with concerns for dealing with uncertainties or vaguenesses in models, measurements, or even objectives, particularly close connections exist between advanced process control and methods of artificial intelligence and machine learning. Needs for advanced techniques are typically characterized by the desire to properly handle plant non-linearities, the multivariable nature of the dynamic problems, and the necessity to adapt to changing plant conditions. In the field of fluidized bed combustion (FBC) control, the many promising

The study of emotional intelligence at preadolescents from different environment

Directory of Open Access Journals (Sweden)

Racu Iulia

2016-09-01

Full Text Available The issue of emotional intelligence is an important one in the sphere of human resources, management, education and psychology. Emotional intelligence is the capability of individuals to recognize their own, and other people’s emotions, to discriminate between different feelings and label them appropriately, and to use emotional information to guide thinking and behaviour. The present research is focused on emotional intelligence at preadolescents. As a result we established that the high level of emotional intelligence is particular for 23,46% preadolescents. Girls manifest a high level of emotional intelligence. Also high level of emotional intelligence is characteristic to 13 – 14 preadolescents. The emotional intelligence are more developed at preadolescents from rural environment.

Study of Emotional Intelligence Patterns with Teachers Working in Public Education

Directory of Open Access Journals (Sweden)

Balázs László

2015-03-01

Full Text Available The data necessary for the empirical research presented it this study were provided by 572 people, from altogether 26 schools. The schools included 18 primary schools, 7 secondary training institutions and 1 primary and secondary school. The major question of the study related to the pedagogues' emotional intelligence, more precisely if the teachers of different institutions showed any individual differences in their emotional intelligence patterns according to the given type of their school's organisational culture. We also examined if the nature of the organizational culture had any influence on the development the individual's emotional intelligence pattern. On the basis of the results we can declare that the teachers of different institutions having their own particular organizational cultures evolve different emotional intelligence patterns. Accordingly, we can come to the conclusion that in the long term the organizational culture affects the evolution of the individual's emotional intelligence pattern and vice versa.

An Examination of Multiple Intelligence Domains and Learning Styles of Pre-Service Mathematics Teachers: Their Reflections on Mathematics Education

Science.gov (United States)

Ozgen, Kemal; Tataroglu, Berna; Alkan, Huseyin

2011-01-01

The present study aims to identify pre-service mathematics teachers' multiple intelligence domains and learning style profiles, and to establish relationships between them. Employing the survey model, the study was conducted with the participation of 243 pre-service mathematics teachers. The study used the "multiple intelligence domains…

A multi-resolution envelope-power based model for speech intelligibility

DEFF Research Database (Denmark)

Jørgensen, Søren; Ewert, Stephan D.; Dau, Torsten

2013-01-01

The speech-based envelope power spectrum model (sEPSM) presented by Jørgensen and Dau [(2011). J. Acoust. Soc. Am. 130, 1475-1487] estimates the envelope power signal-to-noise ratio (SNRenv) after modulation-frequency selective processing. Changes in this metric were shown to account well...... to conditions with stationary interferers, due to the long-term integration of the envelope power, and cannot account for increased intelligibility typically obtained with fluctuating maskers. Here, a multi-resolution version of the sEPSM is presented where the SNRenv is estimated in temporal segments...... with a modulation-filter dependent duration. The multi-resolution sEPSM is demonstrated to account for intelligibility obtained in conditions with stationary and fluctuating interferers, and noisy speech distorted by reverberation or spectral subtraction. The results support the hypothesis that the SNRenv...

Towards a value model for collaborative, business intelligence-supported risk assessment

NARCIS (Netherlands)

Liu, L.; Daniëls, H.A.M.; Johannesson, P.

2012-01-01

Collaborative business intelligence supports risk assessment and in return enhances management control on a business network. Nonetheless, it needs an incentive basis in the first place before it can be implemented, that is, the value model. Starting from the managerial challenges which arise from

Intelligence, Social Class of Origin, Childhood Behavior Disturbance and Education as Predictors of Status Attainment in Midlife in Men: The Aberdeen Children of the 1950s Study

Science.gov (United States)

von Stumm, Sophie; Macintyre, Sally; Batty, David G.; Clark, Heather; Deary, Ian J.

2010-01-01

In a birth cohort of 6281 men from Aberdeen, Scotland, social class of origin, childhood intelligence, childhood behavior disturbance and education were examined as predictors of status attainment in midlife (46 to 51 years). Social class of origin, intelligence and behavior disturbance were conceptualized as correlated predictors, whose effects…

Modeling Common-Sense Decisions in Artificial Intelligence

Science.gov (United States)

Zak, Michail

2010-01-01

A methodology has been conceived for efficient synthesis of dynamical models that simulate common-sense decision- making processes. This methodology is intended to contribute to the design of artificial-intelligence systems that could imitate human common-sense decision making or assist humans in making correct decisions in unanticipated circumstances. This methodology is a product of continuing research on mathematical models of the behaviors of single- and multi-agent systems known in biology, economics, and sociology, ranging from a single-cell organism at one extreme to the whole of human society at the other extreme. Earlier results of this research were reported in several prior NASA Tech Briefs articles, the three most recent and relevant being Characteristics of Dynamics of Intelligent Systems (NPO -21037), NASA Tech Briefs, Vol. 26, No. 12 (December 2002), page 48; Self-Supervised Dynamical Systems (NPO-30634), NASA Tech Briefs, Vol. 27, No. 3 (March 2003), page 72; and Complexity for Survival of Living Systems (NPO- 43302), NASA Tech Briefs, Vol. 33, No. 7 (July 2009), page 62. The methodology involves the concepts reported previously, albeit viewed from a different perspective. One of the main underlying ideas is to extend the application of physical first principles to the behaviors of living systems. Models of motor dynamics are used to simulate the observable behaviors of systems or objects of interest, and models of mental dynamics are used to represent the evolution of the corresponding knowledge bases. For a given system, the knowledge base is modeled in the form of probability distributions and the mental dynamics is represented by models of the evolution of the probability densities or, equivalently, models of flows of information. Autonomy is imparted to the decisionmaking process by feedback from mental to motor dynamics. This feedback replaces unavailable external information by information stored in the internal knowledge base. Representation

Identifying College Students' Multiple Intelligences to Enhance Motivation and Language Proficiency

Science.gov (United States)

Madkour, Magda; Mohamed, Rafik Ahmed Abdel Moati

2016-01-01

While most research studies on the theory of multiple intelligences focused on the application of the multiple intelligences domains as separate components, this quasi-experimental research targeted the effect of multiple intelligences as integrated abilities for teaching and learning English at higher education. The purpose of this study was to…

Rural architecture between artificial intelligence and natural intelligence

Energy Technology Data Exchange (ETDEWEB)

Cennamo, M.; Palma, P. di; Ricciardelli, A. [University of Naples Frederico II (Italy). Dept. of Configurazione e Attuazione dell Architettra

2000-02-01

Following the field of research carried out and reported in the Second International Conference for Teachers of Architecture held in Florence on October 16, 17 and 18, 1997, which stated the central position of Architectural project in relation to Human Intelligence, Natural Intelligence and Artificial Intelligence, the present paper suggests a phase of application of the theoretical assumptions to spacial models paradigmatic of the complexity of projects and building technique, as well as of the relationship between man-made environment and natural one. Among the different typologies in architecture, this research focuses on the rural buildings in Campania, mainly on the ones in the Vesuvius area, as those are the most suitable to be studied and salvaged with the help of biology, mathematics and high engineering. (author)

Spiritual Intelligence and Transformational Leadership: A New Theoretical Framework

OpenAIRE

Stephen R. White; Precious Guramatunhu-Mudiwa; Barbara B. Howard

2009-01-01

The purpose of this paper is to establish a connection between spiritual intelligence and transformational leadership in an effort to encourage further debate about the legitimacy of spiritual intelligence in educational discourse. In this context we define spiritual intelligence as an interconnected configuration of affective orientations intimately linked to create meaning through connecting ideas, events, and persons rather than to a specific religious tradition or orientation. An explorat...

Modelling intelligence-led policing to identify its potential

NARCIS (Netherlands)

Hengst-Bruggeling, M. den; Graaf, H.A.L.M. de; Scheepstal, P.G.M. van

2014-01-01

lntelligence-led policing is a concept of policing that has been applied throughout the world. Despite some encouraging reports, the effect of intelligence-led policing is largely unknown. This paper presents a method with which it is possible to identify intelligence-led policing's potential to

A survey on computational intelligence approaches for predictive modeling in prostate cancer

OpenAIRE

Cosma, G; Brown, D; Archer, M; Khan, M; Pockley, AG

2017-01-01

Predictive modeling in medicine involves the development of computational models which are capable of analysing large amounts of data in order to predict healthcare outcomes for individual patients. Computational intelligence approaches are suitable when the data to be modelled are too complex forconventional statistical techniques to process quickly and eciently. These advanced approaches are based on mathematical models that have been especially developed for dealing with the uncertainty an...

Application of Artificial Intelligence for Bridge Deterioration Model

Directory of Open Access Journals (Sweden)

Zhang Chen

2015-01-01

Full Text Available The deterministic bridge deterioration model updating problem is well established in bridge management, while the traditional methods and approaches for this problem require manual intervention. An artificial-intelligence-based approach was presented to self-updated parameters of the bridge deterioration model in this paper. When new information and data are collected, a posterior distribution was constructed to describe the integrated result of historical information and the new gained information according to Bayesian theorem, which was used to update model parameters. This AI-based approach is applied to the case of updating parameters of bridge deterioration model, which is the data collected from bridges of 12 districts in Shanghai from 2004 to 2013, and the results showed that it is an accurate, effective, and satisfactory approach to deal with the problem of the parameter updating without manual intervention.

A Framework for Intelligent Instructional Systems: An Artificial Intelligence Machine Learning Approach.

Science.gov (United States)

Becker, Lee A.

1987-01-01

Presents and develops a general model of the nature of a learning system and a classification for learning systems. Highlights include the relationship between artificial intelligence and cognitive psychology; computer-based instructional systems; intelligent instructional systems; and the role of the learner's knowledge base in an intelligent…

An Intelligent System for Modelling, Design and Analysis of Chemical Processes

DEFF Research Database (Denmark)

Gani, Rafiqul

ICAS, Integrated Computer Aided System, is a software that consists of a number of intelligent tools, which are very suitable, among others, for computer aided modelling, sustainable design of chemical and biochemical processes, and design-analysis of product-process monitoring systems. Each...... the computer aided modelling tool will illustrate how to generate a desired process model, how to analyze the model equations, how to extract data and identify the model and make it ready for various types of application. In sustainable process design, the example will highlight the issue of integration...

Artificial intelligent e-learning architecture

Science.gov (United States)

Alharbi, Mafawez; Jemmali, Mahdi

2017-03-01

Many institutions and university has forced to use e learning, due to its ability to provide additional and flexible solutions for students and researchers. E-learning In the last decade have transported about the extreme changes in the distribution of education allowing learners to access multimedia course material at any time, from anywhere to suit their specific needs. In the form of e learning, instructors and learners live in different places and they do not engage in a classroom environment, but within virtual universe. Many researches have defined e learning based on their objectives. Therefore, there are small number of e-learning architecture have proposed in the literature. However, the proposed architecture has lack of embedding intelligent system in the architecture of e learning. This research argues that unexplored potential remains, as there is scope for e learning to be intelligent system. This research proposes e-learning architecture that incorporates intelligent system. There are intelligence components, which built into the architecture.

Multiple Intelligences in Action.

Science.gov (United States)

Campbell, Bruce

1992-01-01

Describes the investigation of the effects of a four-step model program used with third through fifth grade students to implement Gardener's concepts of seven human intelligences--linguistic, logical/mathematical, visual/spatial, musical, kinesthetic, intrapersonal, and interpersonal intelligence--into daily learning. (BB)

Computational Foundations of Natural Intelligence.

Science.gov (United States)

van Gerven, Marcel

2017-01-01

New developments in AI and neuroscience are revitalizing the quest to understanding natural intelligence, offering insight about how to equip machines with human-like capabilities. This paper reviews some of the computational principles relevant for understanding natural intelligence and, ultimately, achieving strong AI. After reviewing basic principles, a variety of computational modeling approaches is discussed. Subsequently, I concentrate on the use of artificial neural networks as a framework for modeling cognitive processes. This paper ends by outlining some of the challenges that remain to fulfill the promise of machines that show human-like intelligence.

DEVELOPING A HUMAN CONTROLLED MODEL FOR SAFE ARTIFICIAL INTELLIGENCE SYSTEMS

OpenAIRE

KÖSE, Utku

2018-01-01

Artificial Intelligence is known as one of the most effective research field of nowadays and the future. But rapid rise of Artificial Intelligence and its potential to solve all real world problems autonomously, it has caused also several anxieties. Some scientists think that intelligent systems can reach to a level, which is dangerous for the humankind so because of that some precautions should be taken. So, many sub-research fields like Machine Ethics or Artificial Intelligence Safety have ...

Teaching successful intelligence to gifted and talented students

Directory of Open Access Journals (Sweden)

Robert Sternberg

2010-04-01

Full Text Available The aim of this study is to analyze the theory of successful intelligence as a strategy to meet the educational needs of gifted and talented students. First, we present the theory of successful intelligence as an alternative that allows for an in-depth study of the cognitive complexity of high ability from a broader perspective of intelligence. Second, we analyze the roles of students and teachers in the learning-teaching process. Third, we indicate some learning strategies aimed at promoting the management of resources in the classroom related to the analytical, synthetic or creative and practical intelligence. Finally, some conclusions are drawn.

Multiple Intelligence Distribution of Prospective Teachers: The Case at Yildiz Technical University

Science.gov (United States)

Çeliköz, Mine

2017-01-01

The aim of this study is to find out whether intelligence distributions differ or not according to gender and departmental variables by determining the dominant intelligence (Multiple Intelligence) distributions of prospective teachers studying at Yildiz Technical University Education Faculty. The population of the research constitutes the…

Multiple Intelligences Theory and Iranian Textbooks: An Analysis

Science.gov (United States)

Taase, Yoones

2012-01-01

The purpose of this study is to investigate locally designed ELT textbooks in the light of multiple intelligences theory. Three textbooks (grade 1.2.3) used in guidance school of Iranian educational system were analyzed using MI checklist developed by Botelho, Mario do Rozarioand. Catered for kinds of intelligences in the activities and exercises…

Designing Intelligent Tutoring Systems: A Personalization Strategy using Case-Based Reasoning and Multi-Agent Systems

Directory of Open Access Journals (Sweden)

Rosalía LAZA

2013-05-01

Full Text Available Intelligent Tutoring Systems (ITSs are educational systems that use artificial intelligence techniques for representing the knowledge. ITSs design is often criticized for being a complex and challenging process. In this article, we propose a framework for the ITSs design using Case Based Reasoning (CBR and Multiagent systems (MAS. The major advantage of using CBR is to allow the intelligent system to propose smart and quick solutions to problems, even in complex domains, avoiding the time necessary to derive those solutions from scratch. The use of intelligent agents and MAS architectures supports the retrieval of similar students models and the adaptation of teaching strategies according to the student profile. We describe deeply how the combination of both technologies helps to simplify the design of new ITSs and personalize the e-learning process for each student

A review on the integration of artificial intelligence into coastal modeling.

Science.gov (United States)

Chau, Kwokwing

2006-07-01

With the development of computing technology, mechanistic models are often employed to simulate processes in coastal environments. However, these predictive tools are inevitably highly specialized, involving certain assumptions and/or limitations, and can be manipulated only by experienced engineers who have a thorough understanding of the underlying theories. This results in significant constraints on their manipulation as well as large gaps in understanding and expectations between the developers and practitioners of a model. The recent advancements in artificial intelligence (AI) technologies are making it possible to integrate machine learning capabilities into numerical modeling systems in order to bridge the gaps and lessen the demands on human experts. The objective of this paper is to review the state-of-the-art in the integration of different AI technologies into coastal modeling. The algorithms and methods studied include knowledge-based systems, genetic algorithms, artificial neural networks, and fuzzy inference systems. More focus is given to knowledge-based systems, which have apparent advantages over the others in allowing more transparent transfers of knowledge in the use of models and in furnishing the intelligent manipulation of calibration parameters. Of course, the other AI methods also have their individual contributions towards accurate and reliable predictions of coastal processes. The integrated model might be very powerful, since the advantages of each technique can be combined.

The Relationship of Cultural Intelligence, Transformational Leadership Style, and Team Performance in Culturally Diverse Student Leaders in Christian Higher Education

Science.gov (United States)

Menna, Tamene Yoseph

2017-01-01

The purpose of this study was to examine the relationship between cultural intelligence, transformational leadership, and team performance in one private Christian higher education institution in Southern California. The study further conducted initial exploration of how student leaders' Christian worldview (humility) influences their cultural…

THE INCREASING OF PRESCHOOL MULTIPLE INTELLIGENCES BY EDUCATIVE PLAYING INSTRUMENT STIMULATION

Directory of Open Access Journals (Sweden)

Yuni Sufyanti Arief

2017-04-01

Full Text Available Introduction: Multiple Intelligences can be incresed by playing stimulation with educative playing instrument. Educative playing is the activity that uses educate ways and instrument. Educative playing very important to increase speech development, cognitive, socialisation with the environment and also increse the streght and skill of child’s body. Method: Design used in this study was quasy experiment design. The population was preschool children 4–5 years old in working area of Mojo Public Health Centre of Surabaya. The sample was preschool children 4–5 years old that spesific in inclution criteria of this study. Data were analyzed by wilcoxon signed rank test to compare the ordinal data pre and post intervention and mann withney u-test that compare between intervention group and control  group with level of signifi cance of α ≤ 0.05. Result: The result of speech development that analyzed by Wilcoxon signed rank test showed that controlled group had p = 0.157 and intervention group had p = 0.005 and the result of mann whitney test was p = 0.03. The result of kinesthetic development by wilcoxon signed rank test showed that controlled group has p = 0.317 and intervention group has p = 0.005, and analyzed by mann whitney test in kinesthetic development showed the result of p = 0.02. Discussion: Educative playing instrument (picture cards, play dough, origami and meronce increased speech and fine motoric development of preschool children 4–5 years old in Mojo Indah Kindergarten of Surabaya. Educative playing instrument is the activity that makes the playing function optimally in child development and this activity can increase the child development such as physical, speech, cognitive and social adaptation.

Misbehaving Peer Models in the Classroom: An Investigation of the Effects of Social Class and Intelligence.

Science.gov (United States)

Kniveton, Bromley H.

1987-01-01

Investigates the effects on young male students of differing social backgrounds and varying levels of intelligence, of seeing a peer misbehave. Notes that working class boys imitated the misbehaving model significantly more than middle-class boys. Level of intelligence was not found to relate to the amount a student imitated a misbehaving peer.…

Artificial Intelligence and Moral intelligence

OpenAIRE

Laura Pana

2008-01-01

We discuss the thesis that the implementation of a moral code in the behaviour of artificial intelligent systems needs a specific form of human and artificial intelligence, not just an abstract intelligence. We present intelligence as a system with an internal structure and the structural levels of the moral system, as well as certain characteristics of artificial intelligent agents which can/must be treated as 1- individual entities (with a complex, specialized, autonomous or selfdetermined,...

Computational Intelligence Agent-Oriented Modelling

Czech Academy of Sciences Publication Activity Database

Neruda, Roman

2006-01-01

Roč. 5, č. 2 (2006), s. 430-433 ISSN 1109-2777 R&D Projects: GA MŠk 1M0567 Institutional research plan: CEZ:AV0Z10300504 Keywords : multi-agent systems * adaptive agents * computational intelligence Subject RIV: IN - Informatics, Computer Science

Andes: An intelligent homework helper

Science.gov (United States)

van de Sande, Brett; Vanlehn, Kurt; Treacy, Don; Shelby, Bob; Wintersgill, Mary

2007-03-01

Andes (www.andes.pitt.edu) is an intelligent tutor homework system designed for use as the homework portion of an introductory physics course. It encourages students to use good problem solving techniques and provides immediate feedback on each step of a problem solution along with hints on request. I will discuss how Andes works, from a student perspective, and present research demonstrating its effectiveness as a pedagogical tool. Then, I will discuss using Andes as a tool for conducting education research, briefly reviewing several studies conducted using Andes. Finally, I will show how logs of student solutions to Andes problems can be used to develop cognitive models of student learning.

ICT-Supported Gaming for Competitive Intelligence

NARCIS (Netherlands)

Achterbergh, J.M.I.M.; Khosrow-Pour, M.

2005-01-01

Collecting and processing competitive intelligence for the purpose of strategy formulation are complex activities requiring deep insight in and models of the “organization in its environment.” These insights and models need to be not only shared between CI (competitive intelligence) practitioners

STUDY OF BUSINESS INTELLIGENCE SYSTEM QUALITY

OpenAIRE

DENIC Nebojsa; VUJOVIC Vuk; PERENIC Goran; SPASIC Boban

2016-01-01

IT has made remarkable progress over the last years. Business intelligence systems have been developing as an important part of IT. Enterprises often fail to realize importance and necessity of implementation of business intelligence solutions. This paper will deal with the approach for assessment of business intelligence in enterprises, based on maturity models. The significance of this paper is in the development of new conceptual research models which do not apply the usual thesis on ma...

Speech Intelligibility Evaluation for Mobile Phones

DEFF Research Database (Denmark)

Jørgensen, Søren; Cubick, Jens; Dau, Torsten

2015-01-01

In the development process of modern telecommunication systems, such as mobile phones, it is common practice to use computer models to objectively evaluate the transmission quality of the system, instead of time-consuming perceptual listening tests. Such models have typically focused on the quality...... of the transmitted speech, while little or no attention has been provided to speech intelligibility. The present study investigated to what extent three state-of-the art speech intelligibility models could predict the intelligibility of noisy speech transmitted through mobile phones. Sentences from the Danish...... Dantale II speech material were mixed with three different kinds of background noise, transmitted through three different mobile phones, and recorded at the receiver via a local network simulator. The speech intelligibility of the transmitted sentences was assessed by six normal-hearing listeners...

Terrorism Risk Modeling for Intelligence Analysis and Infrastructure Protection

National Research Council Canada - National Science Library

Willis, Henry H; LaTourrette, Tom; Kelly, Terrence K; Hickey, Scot; Neill, Samuel

2007-01-01

...? The Office of Intelligence and Analysis (OI&A) at DHS is responsible for using information and intelligence from multiple sources to identify and assess current and future threats to the United States...

Business Intelligence Issues for Sustainability Projects

Directory of Open Access Journals (Sweden)

Mihaela Muntean

2018-01-01

Full Text Available Business intelligence (BI is an umbrella term for strategies, technologies, and information systems used by the companies to extract from large and various data, according to the value chain, relevant knowledge to support a wide range of operational, tactical, and strategic business decisions. Sustainability, as an integrated part of the corporate business, implies the integration of the new approach at all levels: business model, performance management system, business intelligence project, and data model. Both business intelligence issues presented in this paper represent the contribution of the author in modeling data for supporting further BI approaches in corporate sustainability initiatives. Multi-dimensional modeling has been used to ground the proposals and to introduce the key performance indicators. The démarche is strengthened with implementation aspects and reporting examples. More than ever, in the Big Data era, bringing together business intelligence methods and tools with corporate sustainability is recommended.

Educators’ Implicit Theories of Intelligence and Beliefs about the Identification of Gifted Students

Directory of Open Access Journals (Sweden)

María Caridad García-Cepero

2009-06-01

Full Text Available This research study analyzed the structure of educators’ implicit theoriesof intelligence (ITI and explored the relationship between ITI and beliefsabout the identification of gifted students. This study included a sampleof 372 educators. School Teachers and professors from colleges of educationfavor practical, analytical, and creative attributes in their prototypesof an intelligence person. However, participants were fairly neutral aboutwhether interpersonal and intrapersonal attributes characterized intelligentpeople. Educators that rated creativity as an important attribute ofintelligence tend to favor multiple methods to identify gifted students. Incontrast, educators who supported the use of IQ test as the primary basisof gifted identification tended to agree that analytical abilities were part ofthe structure of intelligence.

Computational Foundations of Natural Intelligence

Directory of Open Access Journals (Sweden)

Marcel van Gerven

2017-12-01

Full Text Available New developments in AI and neuroscience are revitalizing the quest to understanding natural intelligence, offering insight about how to equip machines with human-like capabilities. This paper reviews some of the computational principles relevant for understanding natural intelligence and, ultimately, achieving strong AI. After reviewing basic principles, a variety of computational modeling approaches is discussed. Subsequently, I concentrate on the use of artificial neural networks as a framework for modeling cognitive processes. This paper ends by outlining some of the challenges that remain to fulfill the promise of machines that show human-like intelligence.

Artificial Intelligence in Civil Engineering

OpenAIRE

Lu, Pengzhen; Chen, Shengyong; Zheng, Yujun

2012-01-01

Artificial intelligence is a branch of computer science, involved in the research, design, and application of intelligent computer. Traditional methods for modeling and optimizing complex structure systems require huge amounts of computing resources, and artificial-intelligence-based solutions can often provide valuable alternatives for efficiently solving problems in the civil engineering. This paper summarizes recently developed methods and theories in the developing direction for applicati...

Intelligent computer aided training systems in the real world: Making the technology accessible to the educational mainstream

Science.gov (United States)

Kovarik, Madeline

1993-01-01

Intelligent computer aided training systems hold great promise for the application of this technology to mainstream education and training. Yet, this technology, which holds such a vast potential impact for the future of education and training, has had little impact beyond the enclaves of government research labs. This is largely due to the inaccessibility of the technology to those individuals in whose hands it can have the greatest impact, teachers and educators. Simply throwing technology at an educator and expecting them to use it as an effective tool is not the answer. This paper provides a background into the use of technology as a training tool. MindLink, developed by HyperTech Systems, provides trainers with a powerful rule-based tool that can be integrated directly into a Windows application. By embedding expert systems technology it becomes more accessible and easier to master.

Intelligence Naturelle et Intelligence Artificielle

OpenAIRE

Dubois, Daniel

2011-01-01

Cet article présente une approche systémique du concept d’intelligence naturelle en ayant pour objectif de créer une intelligence artificielle. Ainsi, l’intelligence naturelle, humaine et animale non-humaine, est une fonction composée de facultés permettant de connaître et de comprendre. De plus, l'intelligence naturelle reste indissociable de la structure, à savoir les organes du cerveau et du corps. La tentation est grande de doter les systèmes informatiques d’une intelligence artificielle ...

Competitive Intelligence : Competing, Consuming and Collaborating in a Flat World

OpenAIRE

2009-01-01

CONTENT The convergence of Societal Intelligence and Territorial Intelligence to promote Sustainable Development of weakened territories in France. By CHRISTIAN BOURRET Can military education benefit from the study of competitive intelligence? By DIDIER DANET Strategic Dependence of a Developing Country Vision from Patents By HENRI DOU, JEAN MARIE DOU JR, SRI DAMAYANTY MANULLANG Causes of Competitive Analysis Failure: Understanding and Responding to Problems at the Individual Level. By DR CRA...

Use of artificial intelligence to identify cardiovascular compromise in a model of hemorrhagic shock.

Science.gov (United States)

Glass, Todd F; Knapp, Jason; Amburn, Philip; Clay, Bruce A; Kabrisky, Matt; Rogers, Steven K; Garcia, Victor F

2004-02-01

To determine whether a prototype artificial intelligence system can identify volume of hemorrhage in a porcine model of controlled hemorrhagic shock. Prospective in vivo animal model of hemorrhagic shock. Research foundation animal surgical suite; computer laboratories of collaborating industry partner. Nineteen, juvenile, 25- to 35-kg, male and female swine. Anesthetized animals were instrumented for arterial and systemic venous pressure monitoring and blood sampling, and a splenectomy was performed. Following a 1-hr stabilization period, animals were hemorrhaged in aliquots to 10, 20, 30, 35, 40, 45, and 50% of total blood volume with a 10-min recovery between each aliquot. Data were downloaded directly from a commercial monitoring system into a proprietary PC-based software package for analysis. Arterial and venous blood gas values, glucose, and cardiac output were collected at specified intervals. Electrocardiogram, electroencephalogram, mixed venous oxygen saturation, temperature (core and blood), mean arterial pressure, pulmonary artery pressure, central venous pressure, pulse oximetry, and end-tidal CO(2) were continuously monitored and downloaded. Seventeen of 19 animals (89%) died as a direct result of hemorrhage. Stored data streams were analyzed by the prototype artificial intelligence system. For this project, the artificial intelligence system identified and compared three electrocardiographic features (R-R interval, QRS amplitude, and R-S interval) from each of nine unknown samples of the QRS complex. We found that the artificial intelligence system, trained on only three electrocardiographic features, identified hemorrhage volume with an average accuracy of 91% (95% confidence interval, 84-96%). These experiments demonstrate that an artificial intelligence system, based solely on the analysis of QRS amplitude, R-R interval, and R-S interval of an electrocardiogram, is able to accurately identify hemorrhage volume in a porcine model of lethal

Study on intelligent processing system of man-machine interactive garment frame model

Science.gov (United States)

Chen, Shuwang; Yin, Xiaowei; Chang, Ruijiang; Pan, Peiyun; Wang, Xuedi; Shi, Shuze; Wei, Zhongqian

2018-05-01

A man-machine interactive garment frame model intelligent processing system is studied in this paper. The system consists of several sensor device, voice processing module, mechanical parts and data centralized acquisition devices. The sensor device is used to collect information on the environment changes brought by the body near the clothes frame model, the data collection device is used to collect the information of the environment change induced by the sensor device, voice processing module is used for speech recognition of nonspecific person to achieve human-machine interaction, mechanical moving parts are used to make corresponding mechanical responses to the information processed by data collection device.it is connected with data acquisition device by a means of one-way connection. There is a one-way connection between sensor device and data collection device, two-way connection between data acquisition device and voice processing module. The data collection device is one-way connection with mechanical movement parts. The intelligent processing system can judge whether it needs to interact with the customer, realize the man-machine interaction instead of the current rigid frame model.

The Cylindrical Structure of the Wechsler Intelligence Scale for Children--IV: A Retest of the Guttman Model of Intelligence

Science.gov (United States)

Cohen, Arie; Fiorello, Catherine A.; Farley, Frank H.

2006-01-01

A previous study on the underlying structure of the Wechsler intelligence test (WISC-R; [Wechsler, D. (1974). Manual WISC-R: Wechsler intelligence scale for children-Revised. New York: Psychological Corporation]), using smallest space analysis (SSA) [Guttman, L., and Levy, S. (1991). Two structural laws for intelligence tests.…

An Architectural Modelfor Intelligent Network Management

Institute of Scientific and Technical Information of China (English)

罗军舟; 顾冠群; 费翔

2000-01-01

Traditional network management approach involves the management of each vendor's equipment and network segment in isolation through its own proprietary element management system. It is necessary to set up a new network management architecture that calls for operation consolidation across vendor and technology boundaries. In this paper, an architectural model for Intelligent Network Management (INM) is presented. The INM system includes a manager system, which controls all subsystems and coordinates different management tasks; an expert system, which is responsible for handling particularly difficult problems, and intelligent agents, which bring the management closer to applications and user requirements by spreading intelligent agents through network segments or domain. In the expert system model proposed, especially an intelligent fault management system is given.The architectural model is to build the INM system to meet the need of managing modern network systems.

Forecasting municipal solid waste generation using artificial intelligence modelling approaches.

Science.gov (United States)

Abbasi, Maryam; El Hanandeh, Ali

2016-10-01

Municipal solid waste (MSW) management is a major concern to local governments to protect human health, the environment and to preserve natural resources. The design and operation of an effective MSW management system requires accurate estimation of future waste generation quantities. The main objective of this study was to develop a model for accurate forecasting of MSW generation that helps waste related organizations to better design and operate effective MSW management systems. Four intelligent system algorithms including support vector machine (SVM), adaptive neuro-fuzzy inference system (ANFIS), artificial neural network (ANN) and k-nearest neighbours (kNN) were tested for their ability to predict monthly waste generation in the Logan City Council region in Queensland, Australia. Results showed artificial intelligence models have good prediction performance and could be successfully applied to establish municipal solid waste forecasting models. Using machine learning algorithms can reliably predict monthly MSW generation by training with waste generation time series. In addition, results suggest that ANFIS system produced the most accurate forecasts of the peaks while kNN was successful in predicting the monthly averages of waste quantities. Based on the results, the total annual MSW generated in Logan City will reach 9.4×10(7)kg by 2020 while the peak monthly waste will reach 9.37×10(6)kg. Copyright © 2016 Elsevier Ltd. All rights reserved.

Role of theory of mind and executive function in explaining social intelligence: a structural equation modeling approach.

Science.gov (United States)

Yeh, Zai-Ting

2013-01-01

Social intelligence is the ability to understand others and the social context effectively and thus to interact with people successfully. Research has suggested that the theory of mind (ToM) and executive function may play important roles in explaining social intelligence. The specific aim of the present study was to test with structural equation modeling (SEM) the hypothesis that performance on ToM tasks is more associated with social intelligence in the elderly than is performance on executive functions. One hundred and seventy-seven participants (age 56-96) completed ToM, executive function, and other basic cognition tasks, and were rated with social intelligence scales. The SEM results showed that ToM and executive function were strongly correlated (0.54); however, only the path coefficient from ToM to social intelligence, and not from executive function, was significant (0.37). ToM performance, but not executive function, was strongly correlated with social intelligence among elderly individuals. ToM and executive function might play different roles in social behavior during normal aging; however, based on the present results, it is possible that ToM might play an important role in social intelligence.

A Study of Ethnic Minority College Students: A Relationship among the Big Five Personality Traits, Cultural Intelligence, and Psychological Well-Being

Science.gov (United States)

Smith, Teresa Ann

2012-01-01

Institutions of Higher Education are challenged to educate an increasing, diverse ethnic minority population. This study examines (1) if the theory of the Big Five personality traits as a predictor of the cultural intelligence theoretical model remains constant with ethnic minority college students attending a southeastern United States…

Measuring emotional intelligence of medical school applicants.

Science.gov (United States)

Carrothers, R M; Gregory, S W; Gallagher, T J

2000-05-01

To discuss the development, pilot testing, and analysis of a 34-item semantic differential instrument for measuring medical school applicants' emotional intelligence (the EI instrument). The authors analyzed data from the admission interviews of 147 1997 applicants to a six-year BS/MD program that is composed of three consortium universities. They compared the applicants' scores on traditional admission criteria (e.g., GPA and traditional interview assessments) with their scores on the EI instrument (which comprised five dimensions of emotional intelligence), breaking the data out by consortium university (each of which has its own educational ethos) and gender. They assessed the EI instrument's reliability and validity for assessing noncognitive personal and interpersonal qualities of medical school applicants. The five dimensions of emotional intelligence (maturity, compassion, morality, sociability, and calm disposition) indicated fair to excellent internal consistency: reliability coefficients were .66 to .95. Emotional intelligence as measured by the instrument was related to both being female and matriculating at the consortium university that has an educational ethos that values the social sciences and humanities. Based on this pilot study, the 34-item EI instrument demonstrates the ability to measure attributes that indicate desirable personal and interpersonal skills in medical school applicants.

A cross-cultural investigation of multiple intelligences in university-level nutrition students

Science.gov (United States)

Short, Joy E.

Effective strategies for the recruitment and retention of a diverse student body in undergraduate nutrition and dietetics programs are needed in order for graduates to effectively meet the health and nutrition needs of a diverse clientele. One way to promote diversity and improve teaching methods in dietetics education is through a framework based on Howard Gardner's Theory of Multiple Intelligences (MI). The theory suggests that individuals possess varying degrees of eight different intelligences which are shaped by genetics and cultural context. Relatively little research has been conducted to investigate MI approaches in the areas of higher education, cross-cultural education, or dietetics education. Therefore, this study investigated the MI profiles of students within undergraduate nutrition programs at Universidad Iberoamericana in Mexico City, Mexico and Saint Louis University in St. Louis, Missouri, United States. Data were collected through the Multiple Intelligences Developmental Assessment Scales (MIDAS). The findings provide a profile of the intellectual dispositions for the study population and suggest that dietetics students in this cross-cultural study population score highest for the MIDAS scale measuring interpersonal intelligence, with significant differences occurring between scores for the eight intelligences measured by the MIDAS. Not only were there significant differences between scale scores when analyzing the population as a whole, there were also significant differences in scale scores when comparing American and Mexican students. This phenomenon was also true when scores were grouped into five ordinal categories. In addition, the findings suggest that differences exist among the particular skills associated with the intelligences for the students at each university. Results indicate that skills related to social sensitivity and persuasion are significantly higher than many other skills for dietetics students. Further, when comparing the

Artificial Intelligence (AI) Studies in Water Resources

OpenAIRE

Ay, Murat; Özyıldırım, Serhat

2018-01-01

Artificial intelligence has been extensively used in many areas such as computer science,robotics, engineering, medicine, translation, economics, business, and psychology. Variousstudies in the literature show that the artificial intelligence in modeling approaches give closeresults to the real data for solution of linear, non-linear, and other systems. In this study, wereviewed the current state-of-the-art and progress on the modelling of artificial intelligence forwater variables: rainfall-...