WorldWideScience

Sample records for technology intelligent learning

  1. Computational intelligence for technology enhanced learning

    Energy Technology Data Exchange (ETDEWEB)

    Xhafa, Fatos [Polytechnic Univ. of Catalonia, Barcelona (Spain). Dept. of Languages and Informatics Systems; Caballe, Santi; Daradoumis, Thanasis [Open Univ. of Catalonia, Barcelona (Spain). Dept. of Computer Sciences Multimedia and Telecommunications; Abraham, Ajith [Machine Intelligence Research Labs (MIR Labs), Auburn, WA (United States). Scientific Network for Innovation and Research Excellence; Juan Perez, Angel Alejandro (eds.) [Open Univ. of Catalonia, Barcelona (Spain). Dept. of Information Sciences

    2010-07-01

    E-Learning has become one of the most wide spread ways of distance teaching and learning. Technologies such as Web, Grid, and Mobile and Wireless networks are pushing teaching and learning communities to find new and intelligent ways of using these technologies to enhance teaching and learning activities. Indeed, these new technologies can play an important role in increasing the support to teachers and learners, to shorten the time to learning and teaching; yet, it is necessary to use intelligent techniques to take advantage of these new technologies to achieve the desired support to teachers and learners and enhance learners' performance in distributed learning environments. The chapters of this volume bring advances in using intelligent techniques for technology enhanced learning as well as development of e-Learning applications based on such techniques and supported by technology. Such intelligent techniques include clustering and classification for personalization of learning, intelligent context-aware techniques, adaptive learning, data mining techniques and ontologies in e-Learning systems, among others. Academics, scientists, software developers, teachers and tutors and students interested in e-Learning will find this book useful for their academic, research and practice activity. (orig.)

  2. Methodologies and Intelligent Systems for Technology Enhanced Learning

    CERN Document Server

    Gennari, Rosella; Vittorini, Pierpaolo; Prieta, Fernando

    2015-01-01

    This volume presents recent research on Methodologies and Intelligent Systems for Technology Enhanced Learning. It contains the contributions of MIS4TEL 2015, which took place in Salamanca, Spain,. On June 3rd to 5th 2015. Like the previous edition, this proceedings and the conference is an open forum for discussing intelligent systems for Technology Enhanced Learning and empirical methodologies for their design or evaluation MIS4TEL’15 conference has been organized by University of L’aquila, Free University of Bozen-Bolzano and the University of Salamanca.  .

  3. English language learning activity using spoken language and intelligent computer-assisted technologies

    OpenAIRE

    2011-01-01

    This paper presents work in progress on language technologies applied to secondary school education. The application presented integrates several state-of-the-art technologies related to spoken language and intelligent computer-assisted language learning. We envision to show that the technology has reached a level of maturity that suggests that the time may be right to use it to second language learning. To achieve this objective, an activity was designed to be tested at several Spanish...

  4. LINKING EMOTIONAL INTELLIGENCE TO ACHIEVE TECHNOLOGY ENHANCED LEARNING IN HIGHER EDUCATION

    Directory of Open Access Journals (Sweden)

    Janette KRUGER

    2013-10-01

    Full Text Available Higher education institutions (HEIs increasingly use technology-enhanced learning (TEL environments (e.g. blended learning and e-learning to improve student throughput and retention rates. As the demand for TEL courses increases, expectations rise for faculty to meet the challenge of using TEL effectively. The promises that TEL holds have not yet materialized, as not enough faculty master the skills and knowledge to integrate TEL into their teaching and learning. The role of emotional intelligence (EI in attaining TEL in e-learning and blended learning environments is not yet clear. This article reports a case study at a South African university where the former Department of Telematic Education introduced a program to prepare faculty for the implementation of TEL for ODL. This research explores and describes links between emotional intelligence and faculty’s ability to cope with new learning technologies. The purposive sampling comprised ten participants who completed a set of e-activities. A mixed methods approach triangulated the findings which provided insight into the coping tactics participants used to accomplish TEL for ODL. Five trends emerged: perception of adequate ability, cognitive decision making; perception of stressful situations; emotional disclosure; and social networking. Although the study identified links between emotional intelligence and coping strategies, the interdependency of coping strategies and emotional intelligence remains elusive.

  5. Knowledge Based Artificial Augmentation Intelligence Technology: Next Step in Academic Instructional Tools for Distance Learning

    Science.gov (United States)

    Crowe, Dale; LaPierre, Martin; Kebritchi, Mansureh

    2017-01-01

    With augmented intelligence/knowledge based system (KBS) it is now possible to develop distance learning applications to support both curriculum and administrative tasks. Instructional designers and information technology (IT) professionals are now moving from the programmable systems era that started in the 1950s to the cognitive computing era.…

  6. Intelligent Discovery for Learning Objects Using Semantic Web Technologies

    Science.gov (United States)

    Hsu, I-Ching

    2012-01-01

    The concept of learning objects has been applied in the e-learning field to promote the accessibility, reusability, and interoperability of learning content. Learning Object Metadata (LOM) was developed to achieve these goals by describing learning objects in order to provide meaningful metadata. Unfortunately, the conventional LOM lacks the…

  7. 7th International Conference in Methodologies and Intelligent Systems for Technology Enhanced Learning

    CERN Document Server

    Gennari, Rosella; Mascio, Tania; Rodríguez, Sara; Prieta, Fernando; Ramos, Carlos; Silveira, Ricardo

    2017-01-01

    This book presents the outcomes of the 7th International Conference in Methodologies and Intelligent Systems for Technology Enhanced Learning (MIS4TEL'17), hosted by the Polytechnic of Porto, Portugal from 21 to 23 June 2017. Expanding on the topics of the previous conferences, it provided an open forum for discussing intelligent systems for technology enhanced learning (TEL) and their roots in novel learning theories, empirical methodologies for their design or evaluation, stand-alone and web-based solutions, and makerspaces. It also fostered entrepreneurship and business startup ideas, bringing together researchers and developers from industry, education and the academic world to report on the latest scientific research, technical advances and methodologies.

  8. 6th International Conference in Methodologies and intelligent Systems for Technology Enhanced Learning

    CERN Document Server

    Prieta, Fernando; Mascio, Tania; Gennari, Rosella; Rodríguez, Javier; Vittorini, Pierpaolo

    2016-01-01

    The 6th International Conference in Methodologies and intelligent Systems for Technology Enhanced Learning held in Seville (Spain) is host by the University of Seville from 1st to 3rd June, 2016. The 6th edition of this conference expands the topics of the evidence-based TEL workshops series in order to provide an open forum for discussing intelligent systems for TEL, their roots in novel learning theories, empirical methodologies for their design or evaluation, stand-alone solutions or web-based ones. It intends to bring together researchers and developers from industry, the education field and the academic world to report on the latest scientific research, technical advances and methodologies.

  9. Rapid and accurate intraoperative pathological diagnosis by artificial intelligence with deep learning technology.

    Science.gov (United States)

    Zhang, Jing; Song, Yanlin; Xia, Fan; Zhu, Chenjing; Zhang, Yingying; Song, Wenpeng; Xu, Jianguo; Ma, Xuelei

    2017-09-01

    Frozen section is widely used for intraoperative pathological diagnosis (IOPD), which is essential for intraoperative decision making. However, frozen section suffers from some drawbacks, such as time consuming and high misdiagnosis rate. Recently, artificial intelligence (AI) with deep learning technology has shown bright future in medicine. We hypothesize that AI with deep learning technology could help IOPD, with a computer trained by a dataset of intraoperative lesion images. Evidences supporting our hypothesis included the successful use of AI with deep learning technology in diagnosing skin cancer, and the developed method of deep-learning algorithm. Large size of the training dataset is critical to increase the diagnostic accuracy. The performance of the trained machine could be tested by new images before clinical use. Real-time diagnosis, easy to use and potential high accuracy were the advantages of AI for IOPD. In sum, AI with deep learning technology is a promising method to help rapid and accurate IOPD. Copyright © 2017 Elsevier Ltd. All rights reserved.

  10. 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…

  11. Suitable Learning Styles for Intelligent Tutoring Technologies (Styles d’Apprentissage Appropries pour les Technologies Tuteurs Intelligents)

    Science.gov (United States)

    2010-05-01

    en droit du Canada), telle que représentée par le ministre de la Défense nationale, 2010 DRDC Toronto TR 2010-073 i Abstract …….. This report...environments. 1.3 Method In this report, 13 of the most of the most influential cognitive and learning styles were critiqued as based on a...Hodgkinson, G. P., & Sadler-Smith, E. (2003). Complex or unitary? A critique and empirical re- assessment of the Allinson-Hayes Cognitive Style Index

  12. Applying Adaptive Swarm Intelligence Technology with Structuration in Web-Based Collaborative Learning

    Science.gov (United States)

    Huang, Yueh-Min; Liu, Chien-Hung

    2009-01-01

    One of the key challenges in the promotion of web-based learning is the development of effective collaborative learning environments. We posit that the structuration process strongly influences the effectiveness of technology used in web-based collaborative learning activities. In this paper, we propose an ant swarm collaborative learning (ASCL)…

  13. An Intelligent Semantic E-Learning Framework Using Context-Aware Semantic Web Technologies

    Science.gov (United States)

    Huang, Weihong; Webster, David; Wood, Dawn; Ishaya, Tanko

    2006-01-01

    Recent developments of e-learning specifications such as Learning Object Metadata (LOM), Sharable Content Object Reference Model (SCORM), Learning Design and other pedagogy research in semantic e-learning have shown a trend of applying innovative computational techniques, especially Semantic Web technologies, to promote existing content-focused…

  14. An Intelligent Semantic E-Learning Framework Using Context-Aware Semantic Web Technologies

    Science.gov (United States)

    Huang, Weihong; Webster, David; Wood, Dawn; Ishaya, Tanko

    2006-01-01

    Recent developments of e-learning specifications such as Learning Object Metadata (LOM), Sharable Content Object Reference Model (SCORM), Learning Design and other pedagogy research in semantic e-learning have shown a trend of applying innovative computational techniques, especially Semantic Web technologies, to promote existing content-focused…

  15. Resources in Technology: Introduction to Artificial Intelligence.

    Science.gov (United States)

    Technology Teacher, 1987

    1987-01-01

    Introduces the concept of artificial intelligence, discusses where it is currently used, and describes an expert computer system that can be used in the technology laboratory. Included is a learning activity that describes ideas for using intelligent computers as problem-solving tools. (Author/CH)

  16. The Intelligent Technologies of Electronic Information System

    Science.gov (United States)

    Li, Xianyu

    2017-08-01

    Based upon the synopsis of system intelligence and information services, this paper puts forward the attributes and the logic structure of information service, sets forth intelligent technology framework of electronic information system, and presents a series of measures, such as optimizing business information flow, advancing data decision capability, improving information fusion precision, strengthening deep learning application and enhancing prognostic and health management, and demonstrates system operation effectiveness. This will benefit the enhancement of system intelligence.

  17. Linking Emotional Intelligence To Achieve 
Technology Enhanced Learning In Higher Education

    OpenAIRE

    KRUGER, Janette; A. Seugnet BLIIGNAUT

    2015-01-01

    Higher education institutions (HEIs) increasingly use technology-enhanced learning (TEL) environments (e.g. blended learning and e-learning) to improve student throughput and retention rates. As the demand for TEL courses increases, expectations rise for faculty to meet the challenge of using TEL effectively. The promises that TEL holds have not yet materialized, as not enough faculty master the skills and knowledge to integrate TEL into their teaching and learning. The role of emotional i...

  18. INTELLIGENCE MOBILE AND DIGITAL BROADCASTING TECHNOLOGY TO SUPPORT LEARNING FOR DISABILITIES STUDENTS

    Directory of Open Access Journals (Sweden)

    Settachai Chaisanit

    2013-01-01

    Full Text Available Usage of mobile digital broadcasting technologies in education is the most important of required technologies to provide main goals in distance education. It offers learning and data accession opportunities to learners notwithstanding time and place. In academic education, it was found that one of the critical problem is the appreciate education tool for disabilities students. Students with special education have difficulties to develop cognitive abilities and acquire new knowledge. They could also need to improve their behavior, communication and relationships with their environment. The development of customizable and adaptable applications tailored to them provides many benefits as it helps mold the learning process to different cognitive, sensorial or mobility impairments. This reviewed paper defines mobile technologies universally designed devices and technology for learning, presents examples of how designed technology hardware and software applications promote increased learning to school and university settings to enhance learning outcomes of all students, including those with disabilities. The reviewed results found that application of the instrumental enrichment of mobile technologies universally designed devices and technology can have an effect in terms of anticipated effects and thus have a positive influence on both learning skills and results in school and university students with a learning disability. The students mainly appreciated the mobile devices and technology and optimistic approach to the learner and to possibilities of modification of their own learning style. The mobile device and technology provide students with options to access the content multiple times in different settings while using a variety of technology applications. The concluded results also challenged educators to rethink the nature of the disability students’ curriculum and empower them with the flexibility to serve a diverse population of learners.

  19. ARCHITECTURES FOR DISTRIBUTED AND COMPLEX M-LEARNING SYSTEMS: Applying Intelligent Technologies.

    Directory of Open Access Journals (Sweden)

    Ozlem OZAN,

    2010-04-01

    Full Text Available Today mobile technologies have become an integral part of the learning activities. With mobile technologies ―Any time, anywhere, any device‖ promise of e-learning is going to become actually applicable and mobile technologies are going to provide opportunities to be ―always on‖ and connected for twenty-first century learners and to get information on demand with ―just enough, just in time, and just for me‖ approach (Yamamoto, Ozan, & Demiray, 2010. Mobile technology includes both hardware and networking applications; hence both of them are necessary for the existence of m-Learning. Today one of the big challenges of mobile learning is technical issues. This book provides case studies and solution about technical applications of mobile learning.The book's broader audience is anyone who is interested in mobile learning systems‘ architecture. Beside this, it gives valuable information for mobile learning designers.The book is edited by The book is edited by Angel Juan , Thanasis Daradoumis, Fatos Xhafa and Santi Caballé. Angel A. Juan is an associate professor of simulation and data analysis in the computer sciences department at the Open University of Catalonia (Spain.Thanasis Daradoumis is an associate professor

  20. Design and Implementation of C-iLearning: A Cloud-Based Intelligent Learning System

    Science.gov (United States)

    Xiao, Jun; Wang, Minjuan; Wang, Lamei; Zhu, Xiaoxiao

    2013-01-01

    The gradual development of intelligent learning (iLearning) systems has prompted the changes of teaching and learning. This paper presents the architecture of an intelligent learning (iLearning) system built upon the recursive iLearning model and the key technologies associated with this model. Based on this model and the technical structure of a…

  1. Multiple Intelligences for Differentiated Learning

    Science.gov (United States)

    Williams, R. Bruce

    2007-01-01

    There is an intricate literacy to Gardner's multiple intelligences theory that unlocks key entry points for differentiated learning. Using a well-articulated framework, rich with graphic representations, Williams provides a comprehensive discussion of multiple intelligences. He moves the teacher and students from curiosity, to confidence, to…

  2. Intelligent Agent Integration Technology

    Science.gov (United States)

    1998-04-01

    The DARPA knowledge sharing effort: Progress report. In B. Nebel , C. Rich, and W. Swartout, editors, Principles of Knowledge Representation and...and Automation, pages 2,785-2,788. IEEE CS Press. [18] Carl Hewitt. Offices are open systems. Communications of the ACM, 4(3):271-287, July 1986...19] Carl Hewitt and Jeff Inman. DAI betwixt and be- tween: From "intelligent agents" to open systems sci- ence. IEEE Transactions on Systems, Man

  3. Intelligent Technologies for Interactive Entertainment

    NARCIS (Netherlands)

    Nijholt, A.; Reidsma, D.; Hondorp, G.H.W.

    2009-01-01

    These are the proceedings of the 3rd International Conference on Intelligent Technologies for Interactive Entertainment (INTETAIN 09). The first edition of this conference, organised in Madonna di Campiglio, saw the gathering of a diverse audience with broad and varied interests. With presentations

  4. 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…

  5. Intelligent Agent Technology

    Science.gov (United States)

    1996-01-01

    Open Sesame! is the first commercial software product that learns user's behavior, and offers automation and coaching suggestions to the user. The neural learning module looks for repetitive patterns that have not been automated; when it finds one, it creates an observation and, upon approval, automates the task. The manufacturer, Charles River Analytics, credits Langley Research Center and Johnson Space Center Small Business Innovation Research grants and the time the president and vice president spent at the two centers in the 1970s as being essential to the development of their product line.

  6. Intelligent e-Learning Systems: An Educational Paradigm Shift

    Directory of Open Access Journals (Sweden)

    Suman Bhattacharya

    2016-12-01

    Full Text Available Learning is the long process of transforming information as well as experience into knowledge, skills, attitude and behaviors. To make up the wide gap between the demand of increasing higher education and comparatively limited resources, more and more educational institutes are looking into instructional technology. Use of online resources not only reduces the cost of education but also meet the needs of society. Intelligent e-learning has become one of the important channels to reach out to students exceeding geographic boundaries. Besides this, the characteristics of e-learning have complicated the process of education, and have brought challenges to both instructors and students. This paper will focus on the discussion of different discipline of intelligent e-learning like scaffolding based e-learning, personalized e-learning, confidence based e-learning, intelligent tutoring system, etc. to illuminate the educational paradigm shift in intelligent e-learning system.

  7. Learning for intelligent mobile robots

    Science.gov (United States)

    Hall, Ernest L.; Liao, Xiaoqun; Alhaj Ali, Souma M.

    2003-10-01

    Unlike intelligent industrial robots which often work in a structured factory setting, intelligent mobile robots must often operate in an unstructured environment cluttered with obstacles and with many possible action paths. However, such machines have many potential applications in medicine, defense, industry and even the home that make their study important. Sensors such as vision are needed. However, in many applications some form of learning is also required. The purpose of this paper is to present a discussion of recent technical advances in learning for intelligent mobile robots. During the past 20 years, the use of intelligent industrial robots that are equipped not only with motion control systems but also with sensors such as cameras, laser scanners, or tactile sensors that permit adaptation to a changing environment has increased dramatically. However, relatively little has been done concerning learning. Adaptive and robust control permits one to achieve point to point and controlled path operation in a changing environment. This problem can be solved with a learning control. In the unstructured environment, the terrain and consequently the load on the robot"s motors are constantly changing. Learning the parameters of a proportional, integral and derivative controller (PID) and artificial neural network provides an adaptive and robust control. Learning may also be used for path following. Simulations that include learning may be conducted to see if a robot can learn its way through a cluttered array of obstacles. If a situation is performed repetitively, then learning can also be used in the actual application. To reach an even higher degree of autonomous operation, a new level of learning is required. Recently learning theories such as the adaptive critic have been proposed. In this type of learning a critic provides a grade to the controller of an action module such as a robot. The creative control process is used that is "beyond the adaptive critic." A

  8. Enhancing E-Learning through Web Service and Intelligent Agents

    Directory of Open Access Journals (Sweden)

    Nasir Hussain

    2006-04-01

    Full Text Available E-learning is basically the integration of various technologies. E-Learning technology is now maturing and we can find a multiplicity of standards. New technologies such as agents and web services are promising better results. In this paper we have proposed an e-learning architecture that is dependent on intelligent agent systems and web services. These communication technologies will make the architecture more robust, scalable and efficient.

  9. Intelligent Mobile Technologies

    Science.gov (United States)

    Alena, Rick; Gilbaugh, Bruce; Glass, Brian; Swanson, Keith (Technical Monitor)

    2000-01-01

    Testing involves commercial radio equipment approved for export and use in Canada. Testing was conducted in the Canadian High Arctic, where hilly terrain provided the worst-case testing. SFU and Canadian governmental agencies made significant technical contributions. The only technical data related to radio testing was exchanged with SFU. Test protocols are standard radio tests performed by communication technicians worldwide. The Joint Fields Operations objectives included the following: (1) to provide Internet communications services for field science work and mobile exploration systems; (2) to evaluate the range and throughput of three different medium-range radio link technologies for providing coverage of the crater area; and (3) to demonstrate collaborative software such as NetMeeting with multi-point video for exchange of scientific information between remote node and base-base camp and science centers as part of communications testing.

  10. Artificial intelligence applications in information and communication technologies

    CERN Document Server

    Bouguila, Nizar

    2015-01-01

    This book presents various recent applications of Artificial Intelligence in Information and Communication Technologies such as Search and Optimization methods, Machine Learning, Data Representation and Ontologies, and Multi-agent Systems. The main aim of this book is to help Information and Communication Technologies (ICT) practitioners in managing efficiently their platforms using AI tools and methods and to provide them with sufficient Artificial Intelligence background to deal with real-life problems.  .

  11. Quantum Mechanics Helps in Learning for More Intelligent Robots

    Institute of Scientific and Technical Information of China (English)

    DONG Dao-Yi; CHEN Chun-Lin; CHEN Zong-Hai; ZHANG Chen-Bin

    2006-01-01

    @@ A learning algorithm based on the state superposition principle is presented. The theoretical analysis shows that the needed fundamental transformations to realize this algorithm are the same as those needed in the Grover algorithm and are within current state-of-the-art technology. The simulated experiment shows that the quantum learning algorithm can help robots to learn faster and to become more intelligent.

  12. Advanced Artificial Intelligence Technology Testbed

    Science.gov (United States)

    Anken, Craig S.

    1993-01-01

    The Advanced Artificial Intelligence Technology Testbed (AAITT) is a laboratory testbed for the design, analysis, integration, evaluation, and exercising of large-scale, complex, software systems, composed of both knowledge-based and conventional components. The AAITT assists its users in the following ways: configuring various problem-solving application suites; observing and measuring the behavior of these applications and the interactions between their constituent modules; gathering and analyzing statistics about the occurrence of key events; and flexibly and quickly altering the interaction of modules within the applications for further study.

  13. Using a computer-based simulation with an artificial intelligence component and discovery learning to formulate training needs for a new technology

    Energy Technology Data Exchange (ETDEWEB)

    Hillis, D.R.

    1992-01-01

    A computer-based simulation with an artificial intelligence component and discovery learning was investigated as a method to formulate training needs for new or unfamiliar technologies. Specifically, the study examined if this simulation method would provide for the recognition of applications and knowledge/skills which would be the basis for establishing training needs. The study also examined the effect of field-dependence/independence on recognition of applications and knowledge/skills. A pretest-posttest control group experimental design involving fifty-eight college students from an industrial technology program was used. The study concluded that the simulation was effective in developing recognition of applications and the knowledge/skills for a new or unfamiliar technology. And, the simulation's effectiveness for providing this recognition was not limited by an individual's field-dependence/independence.

  14. Semantic Oriented Intelligent Electronic Learning

    OpenAIRE

    Ahmed, Zeeshan; Gerhard, Detlef

    2010-01-01

    In this research paper we describe semantic oriented information engineering and knowledge management based solution towards E-Learning systems. We also try to justify the importance of proposed solution with respect to the E-Learning Approaches .i.e., Behavior, Objectivism, Cognitive and Construction. Moreover we briefly describe E-Learning, information engineering, knowledge management and some old and newly available technologies supporting development of E-Learning Systems in this researc...

  15. Machine learning an artificial intelligence approach

    CERN Document Server

    Banerjee, R; Bradshaw, Gary; Carbonell, Jaime Guillermo; Mitchell, Tom Michael; Michalski, Ryszard Spencer

    1983-01-01

    Machine Learning: An Artificial Intelligence Approach contains tutorial overviews and research papers representative of trends in the area of machine learning as viewed from an artificial intelligence perspective. The book is organized into six parts. Part I provides an overview of machine learning and explains why machines should learn. Part II covers important issues affecting the design of learning programs-particularly programs that learn from examples. It also describes inductive learning systems. Part III deals with learning by analogy, by experimentation, and from experience. Parts IV a

  16. 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…

  17. Emergent trends in robotics and intelligent systems where is the role of intelligent technologies in the next generation of robots?

    CERN Document Server

    Hartono, Pitoyo; Virčíková, Mária; Vaščák, Ján; Jakša, Rudolf

    2015-01-01

    What is the Role of Intelligent Technologies in the Next Generation of Robots ? This monograph gives answers to this question and presents emergent trends of Intelligent Systems and Robotics. After an introductory chapter celebrating 70 year of publishing the McCulloch Pitts model the book consists of the 2 parts „Robotics“ and „Intelligent Systems“. The aim of the book is to contribute to shift conventional robotics in which the robots perform repetitive, pre-programmed tasks to its intelligent form, where robots possess new cognitive skills with ability to learn and adapt to changing environment. A main focus is on Intelligent Systems, which show notable achievements in solving various problems in intelligent robotics. The book presents current trends and future directions bringing together Robotics and Computational Intelligence. The contributions include widespread experimental and theoretical results on intelligent robotics such as e.g. autonomous robotics, new robotic platforms, or talking robot...

  18. Intelligent fractions learning system: implementation

    CSIR Research Space (South Africa)

    Smith, Adrew C

    2011-05-01

    Full Text Available A combination of modern technology and hand-crafted items is used as a learning tool for children. Instructions from a server are relayed via a cellular phone network to the user. The user places hand-crafted objects on a transparent surface...

  19. Leading to Learning and Competitive Intelligence

    Science.gov (United States)

    Luu, Trong Tuan

    2013-01-01

    Purpose: This research aims to examine whether there is the chain effect from corporate social responsibility (CSR) and emotional intelligence (EI) to organizational learning and competitive intelligence in chemical companies in a Vietnam business setting. Design/methodology/approach: Structural equation modeling (SEM) approach was used to analyze…

  20. Leading to Learning and Competitive Intelligence

    Science.gov (United States)

    Luu, Trong Tuan

    2013-01-01

    Purpose: This research aims to examine whether there is the chain effect from corporate social responsibility (CSR) and emotional intelligence (EI) to organizational learning and competitive intelligence in chemical companies in a Vietnam business setting. Design/methodology/approach: Structural equation modeling (SEM) approach was used to analyze…

  1. Artificial intelligence: Learning to see and act

    Science.gov (United States)

    Schölkopf, Bernhard

    2015-02-01

    An artificial-intelligence system uses machine learning from massive training sets to teach itself to play 49 classic computer games, demonstrating that it can adapt to a variety of tasks. See Letter p.529

  2. Sharing the learning activity using intelligent CAD

    DEFF Research Database (Denmark)

    Duffy, S. M.; Duffy, Alex

    1996-01-01

    In this paper the need for Intelligent Computer Aided Design (Int.CAD) to jointly support design and learning assistance is introduced. The paper focuses on presenting and exploring the possibility of realizing ''learning'' assistance in Int.CAD by introducing a new concept called Shared Learning...

  3. Intelligent Decision Technologies : Proceedings of the 4th International Conference on Intelligent Decision Technologies

    CERN Document Server

    Watanabe, Toyohide; Phillips-Wren, Gloria; Howlett, Robert; Jain, Lakhmi

    2012-01-01

    The Intelligent Decision Technologies (IDT) International Conference encourages an interchange of research on intelligent systems and intelligent technologies that enhance or improve decision making. The focus of IDT is interdisciplinary and includes research on all aspects of intelligent decision technologies, from fundamental development to real applications. IDT has the potential to expand their support of decision making in such areas as finance, accounting, marketing, healthcare, medical and diagnostic systems, military decisions, production and operation, networks, traffic management, crisis response, human-machine interfaces, financial and stock market monitoring and prediction, and robotics. Intelligent decision systems implement advances in intelligent agents, fuzzy logic, multi-agent systems, artificial neural networks, and genetic algorithms, among others.  Emerging areas of active research include virtual decision environments, social networking, 3D human-machine interfaces, cognitive interfaces,...

  4. 1st International Conference on Robot Intelligence Technology and Applications

    CERN Document Server

    Matson, Eric; Myung, Hyun; Xu, Peter

    2013-01-01

    In recent years, robots have been built based on cognitive architecture which has been developed to model human cognitive ability. The cognitive architecture can be a basis for intelligence technology to generate robot intelligence. In this edited book the robot intelligence is classified into six categories: cognitive intelligence, social intelligence, behavioral intelligence, ambient intelligence, collective intelligence and genetic intelligence. This classification categorizes the intelligence of robots based on the different aspects of awareness and the ability to act deliberately as a result of such awareness. This book aims at serving researchers and practitioners with a timely dissemination of the recent progress on robot intelligence technology and its applications, based on a collection of papers presented at the 1st International Conference on Robot Intelligence Technology and Applications (RiTA), held in Gwangju, Korea, December 16-18, 2012. For a better readability, this edition has the total 101 ...

  5. Optical technologies for computational intelligence

    Science.gov (United States)

    Pavlov, Alexander V.

    2001-11-01

    Optics has a number of deep analogies with main principles of Computational Intelligence. We can see strong analogies between basic optical phenomena, used in Fourier-holography, and mathematical foundations of Fuzzy Set Theory. Also, analogies between optical holography technique and principles of Neural Networks Paradigm can be seen. Progress in new holographic recording media with self-developing property leads to Evolutionary Computations holographic realization. Based on these analogies we review holographic techniques from two points of view: Fuzzy Logic and Fuzzy relations.

  6. Firearm microstamping technology: counterinsurgency intelligence gathering tool

    Science.gov (United States)

    Lizotte, Todd E.; Ohar, Orest P.

    2009-05-01

    Warfare relies on effective, accurate and timely intelligence an especially critical task when conducting a counterinsurgency operation [1]. Simply stated counterinsurgency is an intelligence war. Both insurgents and counterinsurgents need effective intelligence capabilities to be successful. Insurgents and counterinsurgents therefore attempt to create and maintain intelligence networks and fight continuously to neutralize each other's intelligence capabilities [1][2]. In such an environment it is obviously an advantage to target or proactively create opportunities to track and map an insurgent movement. Quickly identifying insurgency intelligence assets (Infiltrators) within a host government's infrastructure is the goal. Infiltrators can occupy various areas of government such as security personnel, national police force, government offices or military units. Intentional Firearm Microstamping offers such opportunities when implemented into firearms. Outfitted within firearms purchased and distributed to the host nation's security forces (civilian and military), Intentional Firearm Microstamping (IFM) marks bullet cartridge casings with codes as they are fired from the firearm. IFM is incorporated onto optimum surfaces with the firearm mechanism. The intentional microstamp tooling marks can take the form of alphanumeric codes or encoded geometric codes that identify the firearm. As the firearm is discharged the intentional tooling marks transfer a code to the cartridge casing which is ejected out of the firearm. When recovered at the scene of a firefight or engagement, the technology will provide forensic intelligence allowing the mapping and tracking of small arms traffic patterns within the host nation or identify insurgency force strength and pinpoint firearm sources, such as corrupt/rogue military units or police force. Intentional Firearm Microstamping is a passive mechanical trace technology that can be outfitted or retrofitted to semiautomatic handguns and

  7. Factors, other than Intelligence, in Learning English

    Institute of Scientific and Technical Information of China (English)

    周龙芹

    2012-01-01

    Teaching, in general, seems to have changed considerably in China. Classroom methods,traditionally teacher-centered, are becoming student-centered. Teaching English is no exception. However, change is a slow process. For a long time, the roll the native intelligence of an individual plays in teaching and learning activities has been considered superlative, while factors, other than intelligence, are always been ignored.Since learning English is a very complicated process and involves a series of actions, it should be realized that though the native intelligence of an individual plays an important part, factors, other than intelligence, are also important in acquiring knowledge. This paper will focus on motivation and attitude and will suggest teaching methods for motivating and stimulating students to develop positive attitudes. Only when the factors in English learning are well understood, can teaching methods and creative learning settings that engage students in active and interactive activities be developed. The importance of these factors and suggested teaching strategies for motivating and stimulating students to develop positive attitudes will also be discussed. Though native intelligence may determine the ability with which each student copes with a variety of situations and problems in learning English, the necessary role of the factors discussed in this paper, cannot be ignored. They are essential elements for studying persistently and successfully. This paper will define the factors deemed necessary for learning in order to explain their importance in transforming intentions into learning behaviors. Realizing the importance of factors in learning supports the shift in classroom teaching styles-from one of teacher performance to one of student performance. Hopefully, it will generate a change in the teacher's role from one of dominating, proficient master to a supporting, encouraging guide who creatively designs learning tasks to meet the intellectual

  8. 2nd International Conference on Robot Intelligence Technology and Applications

    CERN Document Server

    Matson, Eric; Myung, Hyun; Xu, Peter; Karray, Fakhri

    2014-01-01

    We are facing a new technological challenge on how to store and retrieve knowledge and manipulate intelligence for autonomous services by intelligent systems which should be capable of carrying out real world tasks autonomously. To address this issue, robot researchers have been developing intelligence technology (InT) for “robots that think” which is in the focus of this book. The book covers all aspects of intelligence from perception at sensor level and reasoning at cognitive level to behavior planning at execution level for each low level segment of the machine. It also presents the technologies for cognitive reasoning, social interaction with humans, behavior generation, ability to cooperate with other robots, ambience awareness, and an artificial genome that can be passed on to other robots. These technologies are to materialize cognitive intelligence, social intelligence, behavioral intelligence, collective intelligence, ambient intelligence and genetic intelligence. The book aims at serving resear...

  9. Learning Pet -- Intelligent Agents for WBE

    Institute of Scientific and Technical Information of China (English)

    戴玮; 俞方桦

    2001-01-01

    An intelligent agent is any program that can be considered by the user to be acting as an assistant or helper, rather than as a tool in the manner of a conventional direct-manipulation interface. An agent should as well display some, but perhaps not all, of the characteristics that are associated with human intelligence: learning, inference, adaptability,independence, creativity, etc.. In order to make webbased education (WBE) more vividly and instructionally with learner's independence at the same time, the intelligent agent can act as a learning pet, which is affiliated with learner's score or grades and will grow up with learner's achievement. And during the course of study, the learning pet can provides any information required by the learner, gives hints if necessary when the learner doing his/her assignment, offers instructional guide for further study etc..

  10. E-learning systems intelligent techniques for personalization

    CERN Document Server

    Klašnja-Milićević, Aleksandra; Ivanović, Mirjana; Budimac, Zoran; Jain, Lakhmi C

    2017-01-01

    This monograph provides a comprehensive research review of intelligent techniques for personalisation of e-learning systems. Special emphasis is given to intelligent tutoring systems as a particular class of e-learning systems, which support and improve the learning and teaching of domain-specific knowledge. A new approach to perform effective personalization based on Semantic web technologies achieved in a tutoring system is presented. This approach incorporates a recommender system based on collaborative tagging techniques that adapts to the interests and level of students' knowledge. These innovations are important contributions of this monograph. Theoretical models and techniques are illustrated on a real personalised tutoring system for teaching Java programming language. The monograph is directed to, students and researchers interested in the e-learning and personalization techniques. .

  11. A New Advance in Intelligent Computing Technology

    Institute of Scientific and Technical Information of China (English)

    2005-01-01

    @@ A recent study by Dr. HUANG Deshuang and his colleagues from the CAS Hefei Institute of Intelligent Machines has shed new light on the development of digital image processing technology. Their work was reported as a cover story in the July issue of the Digital Signal Processing: A Review Journal.

  12. 4th International Conference on Robot Intelligence Technology and Applications

    CERN Document Server

    Karray, Fakhri; Jo, Jun; Sincak, Peter; Myung, Hyun

    2017-01-01

    This book covers all aspects of robot intelligence from perception at sensor level and reasoning at cognitive level to behavior planning at execution level for each low level segment of the machine. It also presents the technologies for cognitive reasoning, social interaction with humans, behavior generation, ability to cooperate with other robots, ambience awareness, and an artificial genome that can be passed on to other robots. These technologies are to materialize cognitive intelligence, social intelligence, behavioral intelligence, collective intelligence, ambient intelligence and genetic intelligence. The book aims at serving researchers and practitioners with a timely dissemination of the recent progress on robot intelligence technology and its applications, based on a collection of papers presented at the 4th International Conference on Robot Intelligence Technology and Applications (RiTA), held in Bucheon, Korea, December 14 - 16, 2015. For better readability, this edition has the total of 49 article...

  13. 3rd International Conference on Robot Intelligence Technology and Applications

    CERN Document Server

    Yang, Weimin; Jo, Jun; Sincak, Peter; Myung, Hyun

    2015-01-01

    This book covers all aspects of robot intelligence from perception at sensor level and reasoning at cognitive level to behavior planning at execution level for each low level segment of the machine. It also presents the technologies for cognitive reasoning, social interaction with humans, behavior generation, ability to cooperate with other robots, ambience awareness, and an artificial genome that can be passed on to other robots. These technologies are to materialize cognitive intelligence, social intelligence, behavioral intelligence, collective intelligence, ambient intelligence and genetic intelligence. The book aims at serving researchers and practitioners with a timely dissemination of the recent progress on robot intelligence technology and its applications, based on a collection of papers presented at the 3rd International Conference on Robot Intelligence Technology and Applications (RiTA), held in Beijing, China, November 6 - 8, 2014. For better readability, this edition has the total 74 papers group...

  14. Learning Emotional Intelligence: Training & Assessment

    Science.gov (United States)

    Shults, Allison

    2015-01-01

    This core assessment provides an overview and training of the use of Emotional Intelligence (EI) in the workplace. It includes a needs analysis for a local Chamber of Commerce, and outlines the importance of improving their organizational communication with the improvement of their EI. Behavioral objectives related to the skills needed are…

  15. Enhancing Collaborative Learning through Group Intelligence Software

    Science.gov (United States)

    Tan, Yin Leng; Macaulay, Linda A.

    Employers increasingly demand not only academic excellence from graduates but also excellent interpersonal skills and the ability to work collaboratively in teams. This paper discusses the role of Group Intelligence software in helping to develop these higher order skills in the context of an enquiry based learning (EBL) project. The software supports teams in generating ideas, categorizing, prioritizing, voting and multi-criteria decision making and automatically generates a report of each team session. Students worked in a Group Intelligence lab designed to support both face to face and computer-mediated communication and employers provided feedback at two key points in the year long team project. Evaluation of the effectiveness of Group Intelligence software in collaborative learning was based on five key concepts of creativity, participation, productivity, engagement and understanding.

  16. Sharing the learning activity using intelligent CAD

    DEFF Research Database (Denmark)

    Duffy, S. M.; Duffy, Alex

    1996-01-01

    In this paper the need for Intelligent Computer Aided Design (Int.CAD) to jointly support design and learning assistance is introduced. The paper focuses on presenting and exploring the possibility of realizing ''learning'' assistance in Int.CAD by introducing a new concept called Shared Learning....... Shared Learning is proposed to empower CAD tools with more useful learning capabilities than that currently available and thereby provide a stronger interaction of learning between a designer and a computer. ''Controlled'' computational learning is proposed as a means whereby the Shared Learning concept...... can be realized. The viability of this new concept is explored by using a system called PERSPECT. PERSPECT is a preliminary numerical design tool aimed at supporting the effective utilization of numerical experiential knowledge in design. After a detailed discussion of PERSPECT's numerical design...

  17. Towards an intelligent environment for distance learning

    Directory of Open Access Journals (Sweden)

    Rafael Morales

    2009-12-01

    Full Text Available Mainstream distance learning nowadays is heavily influenced by traditional educational approaches that produceshomogenised learning scenarios for all learners through learning management systems. Any differentiation betweenlearners and personalisation of their learning scenarios is left to the teacher, who gets minimum support from the system inthis respect. This way, the truly digital native, the computer, is left out of the move, unable to better support the teachinglearning processes because it is not provided with the means to transform into knowledge all the information that it storesand manages. I believe learning management systems should care for supporting adaptation and personalisation of bothindividual learning and the formation of communities of learning. Open learner modelling and intelligent collaborativelearning environments are proposed as a means to care. The proposal is complemented with a general architecture for anintelligent environment for distance learning and an educational model based on the principles of self-management,creativity, significance and participation.

  18. Probabilistic machine learning and artificial intelligence.

    Science.gov (United States)

    Ghahramani, Zoubin

    2015-05-28

    How can a machine learn from experience? Probabilistic modelling provides a framework for understanding what learning is, and has therefore emerged as one of the principal theoretical and practical approaches for designing machines that learn from data acquired through experience. The probabilistic framework, which describes how to represent and manipulate uncertainty about models and predictions, has a central role in scientific data analysis, machine learning, robotics, cognitive science and artificial intelligence. This Review provides an introduction to this framework, and discusses some of the state-of-the-art advances in the field, namely, probabilistic programming, Bayesian optimization, data compression and automatic model discovery.

  19. Probabilistic machine learning and artificial intelligence

    Science.gov (United States)

    Ghahramani, Zoubin

    2015-05-01

    How can a machine learn from experience? Probabilistic modelling provides a framework for understanding what learning is, and has therefore emerged as one of the principal theoretical and practical approaches for designing machines that learn from data acquired through experience. The probabilistic framework, which describes how to represent and manipulate uncertainty about models and predictions, has a central role in scientific data analysis, machine learning, robotics, cognitive science and artificial intelligence. This Review provides an introduction to this framework, and discusses some of the state-of-the-art advances in the field, namely, probabilistic programming, Bayesian optimization, data compression and automatic model discovery.

  20. Learning Intelligent Genetic Algorithms Using Japanese Nonograms

    Science.gov (United States)

    Tsai, Jinn-Tsong; Chou, Ping-Yi; Fang, Jia-Cen

    2012-01-01

    An intelligent genetic algorithm (IGA) is proposed to solve Japanese nonograms and is used as a method in a university course to learn evolutionary algorithms. The IGA combines the global exploration capabilities of a canonical genetic algorithm (CGA) with effective condensed encoding, improved fitness function, and modified crossover and…

  1. Learning Intelligent Genetic Algorithms Using Japanese Nonograms

    Science.gov (United States)

    Tsai, Jinn-Tsong; Chou, Ping-Yi; Fang, Jia-Cen

    2012-01-01

    An intelligent genetic algorithm (IGA) is proposed to solve Japanese nonograms and is used as a method in a university course to learn evolutionary algorithms. The IGA combines the global exploration capabilities of a canonical genetic algorithm (CGA) with effective condensed encoding, improved fitness function, and modified crossover and…

  2. Survey on Intelligent Assistance for Workplace Learning in Software Engineering

    Science.gov (United States)

    Ras, Eric; Rech, Jörg

    Technology-enhanced learning (TEL) systems and intelligent assistance systems aim at supporting software engineers during learning and work. A questionnaire-based survey with 89 responses from industry was conducted to find out what kinds of services should be provided and how, as well as to determine which software engineering phases they should focus on. In this paper, we present the survey results regarding intelligent assistance for workplace learning in software engineering. We analyzed whether specific types of assistance depend on the organization's size, the respondent's role, and the experience level. The results show a demand for TEL that supports short-term problem solving and long-term competence development at the workplace.

  3. Technology Enhanced Learning

    NARCIS (Netherlands)

    Klemke, Roland; Specht, Marcus

    2013-01-01

    Klemke, R., & Specht, M. (2013, 26-27 September). Technology Enhanced Learning. Presentation at the fourth international conference on eLearning (eLearning 2013), Belgrade, Serbia. http://econference.metropolitan.ac.rs/

  4. Supporting the Development of Emotional Intelligence through Technology.

    Science.gov (United States)

    Goldsworthy, Richard

    2002-01-01

    Explains emotional intelligence, traces its history, and proposes a framework for the design and development of technology-based instruction for emotional intelligence that will be used to elucidate potential uses of computer technology to support the development of emotional intelligence. Reviews the literature related to computers and emotional…

  5. INTELLIGENT TECHNOLOGIES FOR KNOWLEDGE DISCOVERY

    Directory of Open Access Journals (Sweden)

    ADRIAN COJOCARIU

    2012-11-01

    Full Text Available Knowledge, as intellectual capital, has become the main resource of anorganization, and the process of knowledge discovery, acquisition and storage is a very important one. Knowledge discovery can be easily realized through Data Mining, a Machine Learning technique, which allows the discovery of useful knowledge from a large amount of data, this knowledge supporting the decision process. A proper knowledge management of the discovered knowledge is able to improve the organization’s results and will lead to increasing the intellectualcapital, the result being a more efficient management.

  6. Learning Effects of Interactive Whiteboard Pedagogy for Students in Taiwan from the Perspective of Multiple Intelligences

    Science.gov (United States)

    Chen, Hong-Ren; Chiang, Chih-Hao; Lin, Wen-Shan

    2013-01-01

    With the rapid progress in information technology, interactive whiteboards have become IT-integrated in teaching activities. The theory of multiple intelligences argues that every person possesses multiple intelligences, emphasizing learners' cognitive richness and the possible role of these differences in enhanced learning. This study is the…

  7. Intelligent fractions learning system: conceptual design

    CSIR Research Space (South Africa)

    Laine, TH

    2010-01-01

    Full Text Available interaction with UFractions. In particular, monitoring is done by embedding intelligence into the fraction blocks. The approach presented allows for real-time monitoring and feedback to the user. Data captured with the proposed technology can be analysed at a...

  8. International Conference on Intelligent Technologies and Engineering System (ICITES 2012)

    CERN Document Server

    Huang, Yi-Cheng; Intelligent Technologies and Engineering Systems

    2013-01-01

    This book concentrates on intelligent technologies as it relates to engineering systems. The book covers the following topics: networking, signal processing, artificial intelligence, control and software engineering, intelligent electronic circuits and systems, communications, and materials and mechanical engineering. The book is a collection of original papers that have been reviewed by technical editors. These papers were presented at the International Conference on Intelligent Technologies and Engineering Systems, held Dec. 13-15, 2012.

  9. Perspectives in developing industrial enzymes by using technological intelligence

    Directory of Open Access Journals (Sweden)

    Óscar Fernando Castellanos Domínguez

    2010-04-01

    Full Text Available Developing emergent technologies implies an ongoing challenge involving using new technological management tools. Enzyme engineering and its respective technology (within the context of biotechnology is one of the areas of knowledge from which great expectations are constantly arising, such as providing competitive advantage in emergent economies like that of Colombia. However, several decades of research in this field have still not led to important results in terms of enzyme production and their application in industrial processes. This article proposes applying the components of a technological intelligence system to developing enzyme technology. Initial emphasis is placed on scientometrics, using exercises for mapping patents, technological monitoring and evaluating Colombian prolects forming part of Colciencias’ ScienTI network, carried out for the enzymes being used in both the food industry for obtaining hydrolysed products and in the textile industry. An example of Delphi study is documented within the context of industrial enzymes’ future within biotechnology in general. The learning which can arise from analysing a sector leader is stressed by using organisational benchmarking. The basis of a technological intelligence system is then discussed in terms of how it can provide productive and competitive strategies aimed at applying industrial enzymes.

  10. Intelligent robots that adapt, learn, and predict

    Science.gov (United States)

    Hall, E. L.; Liao, X.; Ghaffari, M.; Alhaj Ali, S. M.

    2005-10-01

    The purpose of this paper is to describe the concept and architecture for an intelligent robot system that can adapt, learn and predict the future. This evolutionary approach to the design of intelligent robots is the result of several years of study on the design of intelligent machines that could adapt using computer vision or other sensory inputs, learn using artificial neural networks or genetic algorithms, exhibit semiotic closure with a creative controller and perceive present situations by interpretation of visual and voice commands. This information processing would then permit the robot to predict the future and plan its actions accordingly. In this paper we show that the capability to adapt, and learn naturally leads to the ability to predict the future state of the environment which is just another form of semiotic closure. That is, predicting a future state without knowledge of the future is similar to making a present action without knowledge of the present state. The theory will be illustrated by considering the situation of guiding a mobile robot through an unstructured environment for a rescue operation. The significance of this work is in providing a greater understanding of the applications of learning to mobile robots.

  11. The Social Semantic Web in Intelligent Learning Environments: State of the Art and Future Challenges

    Science.gov (United States)

    Jovanovic, Jelena; Gasevic, Dragan; Torniai, Carlo; Bateman, Scott; Hatala, Marek

    2009-01-01

    Today's technology-enhanced learning practices cater to students and teachers who use many different learning tools and environments and are used to a paradigm of interaction derived from open, ubiquitous, and socially oriented services. In this context, a crucial issue for education systems in general, and for Intelligent Learning Environments…

  12. The Application of Intelligent Building Technologies to Space Hotels

    Science.gov (United States)

    Fawkes, S.

    This paper reports that over the last few years Intelligent Building technologies have matured and standardised. It compares the functions of command and control systems in future large space facilities such as space hotels to those commonly found in Intelligent Buildings and looks at how Intelligent Building technologies may be applied to space hotels. Many of the functions required in space hotels are the same as those needed in terrestrial buildings. The adaptation of standardised, low cost, Intelligent Building technologies would reduce capital costs and ease development of future space hotels. Other aspects of Intelligent Buildings may also provide useful models for the development and operation of space hotels.

  13. THE DEVELOPMENT OF INTELLIGENT MANAGEMENT USING CLOUDE TECHNOLOGIES

    Directory of Open Access Journals (Sweden)

    U. A. Vishniakou

    2016-01-01

    Full Text Available The human intelligenсe (HI simulation problems and the development directions of intelligence technologies are analyzed. Artificial intelligence restrictions in compare with HI are shown. The future integrated intelligence systems will be based on advanced technologies of human intelligence. If currently there is no silicon realization of HI memory and its processing, the elements of such realization may be executed with use of clouding technologies. The particularities of cloud computing are given and its implementation for the development of the modern intelligent management are considered.

  14. Intelligent decision technology support in practice

    CERN Document Server

    Neves-Silva, Rui; Jain, Lakhmi; Phillips-Wren, Gloria; Watada, Junzo; Howlett, Robert

    2016-01-01

    This book contains a collection of innovative chapters emanating from topics raised during the 5th KES International Conference on Intelligent Decision Technologies (IDT), held during 2013 at Sesimbra, Portugal. The authors were invited to expand their original papers into a plethora of innovative chapters espousing IDT methodologies and applications. This book documents leading-edge contributions, representing advances in Knowledge-Based and Intelligent Information and Engineering System. It acknowledges that researchers recognize that society is familiar with modern Advanced Information Processing and increasingly expect richer IDT systems. Each chapter concentrates on the theory, design, development, implementation, testing or evaluation of IDT techniques or applications.  Anyone that wants to work with IDT or simply process knowledge should consider reading one or more chapters and focus on their technique of choice. Most readers will benefit from reading additional chapters to access alternative techniq...

  15. Evaluation of the technology roadmap for intelligent building technologies

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2005-03-01

    A Technology Roadmap (TRM) is a process tool developed to help Canadian industries identify and address the technology challenges in the future. This report presented the findings from an evaluation of the Technology Roadmap for Intelligent Building Technologies (IBT TRM) that began in 1999 and was released in 2002. The IBT TRM was a collaborative research project between industry and 5 Canadian federal government organizations. The project was managed by the Continental Automated Buildings Association (CABA). The purpose of the TRM was to clarify the challenges and opportunities in the general area of intelligent building technologies. The lack of understanding of IBTs by the construction industry was identified by participants as a significant national issue because it was the major obstacle to the adoption of emerging technologies. New initiatives launched by the IBT TRM as a consequence of the evaluation include the creation of the Intelligent and Integrated Buildings Council (IIBC) sub-committee of CABA to act on the recommendations of the TRM; and planning by CABA for a new TRM to focus on residential rather than commercial buildings. It was also noted that a valuable network of contracts was created during the evaluation process. Various promotional initiatives were reviewed. It was concluded that Industry Canada should continue to play a continued role in the TRM, particularly in the area of fostering and facilitating the development of regulations and standards; further leveraging the expertise of federal research facilities; encouraging international trade efforts; and exploring the applications of intelligent building technologies to other industries. It was suggested that TRMs support the sector's strategic objectives related to the development, adaptation, diffusion and use of sustainable technologies.

  16. International Symposium on Intelligent Systems Technologies and Applications

    CERN Document Server

    Thampi, Sabu; Dasgupta, Soura; Srivastava, Praveen; ISTA

    2016-01-01

    This book contains a selection of refereed and revised papers from three special tracks: Ad-hoc and Wireless Sensor Networks, Intelligent Distributed Computing and, Business Intelligence and Big Data Analytics originally presented at the International Symposium on Intelligent Systems Technologies and Applications (ISTA), August 10-13, 2015, Kochi, India.  .

  17. Associative learning for a robot intelligence

    CERN Document Server

    Andreae, John H

    1998-01-01

    The explanation of brain functioning in terms of the association of ideas has been popular since the 17th century. Recently, however, the process of association has been dismissed as computationally inadequate by prominent cognitive scientists. In this book, a sharper definition of the term "association" is used to revive the process by showing that associative learning can indeed be computationally powerful. Within an appropriate organization, associative learning can be embodied in a robot to realize a human-like intelligence, which sets its own goals, exhibits unique unformalizable behaviou

  18. Intelligent video surveillance systems and technology

    CERN Document Server

    Ma, Yunqian

    2009-01-01

    From the streets of London to subway stations in New York City, hundreds of thousands of surveillance cameras ubiquitously collect hundreds of thousands of videos, often running 24/7. How can such vast volumes of video data be stored, analyzed, indexed, and searched? How can advanced video analysis and systems autonomously recognize people and detect targeted activities real-time? Collating and presenting the latest information Intelligent Video Surveillance: Systems and Technology explores these issues, from fundamentals principle to algorithmic design and system implementation.An Integrated

  19. Competitive Intelligence Analysis of Augmented Reality Technology Using Patent Information

    National Research Council Canada - National Science Library

    Byeongki Jeong; Janghyeok Yoon

    2017-01-01

    .... Despite the growing attraction of augmented reality, trend analyses in this emerging technology have relied on qualitative literature review, failing to provide comprehensive competitive intelligence...

  20. Motivation and intelligence drive auditory perceptual learning.

    Directory of Open Access Journals (Sweden)

    Sygal Amitay

    Full Text Available BACKGROUND: Although feedback on performance is generally thought to promote perceptual learning, the role and necessity of feedback remain unclear. We investigated the effect of providing varying amounts of positive feedback while listeners attempted to discriminate between three identical tones on learning frequency discrimination. METHODOLOGY/PRINCIPAL FINDINGS: Using this novel procedure, the feedback was meaningless and random in relation to the listeners' responses, but the amount of feedback provided (or lack thereof affected learning. We found that a group of listeners who received positive feedback on 10% of the trials improved their performance on the task (learned, while other groups provided either with excess (90% or with no feedback did not learn. Superimposed on these group data, however, individual listeners showed other systematic changes of performance. In particular, those with lower non-verbal IQ who trained in the no feedback condition performed more poorly after training. CONCLUSIONS/SIGNIFICANCE: This pattern of results cannot be accounted for by learning models that ascribe an external teacher role to feedback. We suggest, instead, that feedback is used to monitor performance on the task in relation to its perceived difficulty, and that listeners who learn without the benefit of feedback are adept at self-monitoring of performance, a trait that also supports better performance on non-verbal IQ tests. These results show that 'perceptual' learning is strongly influenced by top-down processes of motivation and intelligence.

  1. Motivation and intelligence drive auditory perceptual learning.

    Science.gov (United States)

    Amitay, Sygal; Halliday, Lorna; Taylor, Jenny; Sohoglu, Ediz; Moore, David R

    2010-03-23

    Although feedback on performance is generally thought to promote perceptual learning, the role and necessity of feedback remain unclear. We investigated the effect of providing varying amounts of positive feedback while listeners attempted to discriminate between three identical tones on learning frequency discrimination. Using this novel procedure, the feedback was meaningless and random in relation to the listeners' responses, but the amount of feedback provided (or lack thereof) affected learning. We found that a group of listeners who received positive feedback on 10% of the trials improved their performance on the task (learned), while other groups provided either with excess (90%) or with no feedback did not learn. Superimposed on these group data, however, individual listeners showed other systematic changes of performance. In particular, those with lower non-verbal IQ who trained in the no feedback condition performed more poorly after training. This pattern of results cannot be accounted for by learning models that ascribe an external teacher role to feedback. We suggest, instead, that feedback is used to monitor performance on the task in relation to its perceived difficulty, and that listeners who learn without the benefit of feedback are adept at self-monitoring of performance, a trait that also supports better performance on non-verbal IQ tests. These results show that 'perceptual' learning is strongly influenced by top-down processes of motivation and intelligence.

  2. Advanced technologies for intelligent transportation systems

    CERN Document Server

    Picone, Marco; Amoretti, Michele; Zanichelli, Francesco; Ferrari, Gianluigi

    2015-01-01

    This book focuses on emerging technologies in the field of Intelligent Transportation Systems (ITSs) namely efficient information dissemination between vehicles, infrastructures, pedestrians and public transportation systems. It covers the state-of-the-art of Vehicular Ad-hoc Networks (VANETs), with centralized and decentralized (Peer-to-Peer) communication architectures, considering several application scenarios. With a detailed treatment of emerging communication paradigms, including cross networking  and distributed algorithms. Unlike most of the existing books, this book presents a multi-layer overview of information dissemination systems, from lower layers (MAC) to high layers (applications). All those aspects are investigated considering the use of mobile devices, such as smartphones/tablets and embedded systems, i.e. technologies that during last years completely changed the current market, the user expectations, and communication networks. The presented networking paradigms are supported and validate...

  3. Applications of computational intelligence in biomedical technology

    CERN Document Server

    Majernik, Jaroslav; Pancerz, Krzysztof; Zaitseva, Elena

    2016-01-01

    This book presents latest results and selected applications of Computational Intelligence in Biomedical Technologies. Most of contributions deal with problems of Biomedical and Medical Informatics, ranging from theoretical considerations to practical applications. Various aspects of development methods and algorithms in Biomedical and Medical Informatics as well as Algorithms for medical image processing, modeling methods are discussed. Individual contributions also cover medical decision making support, estimation of risks of treatments, reliability of medical systems, problems of practical clinical applications and many other topics  This book is intended for scientists interested in problems of Biomedical Technologies, for researchers and academic staff, for all dealing with Biomedical and Medical Informatics, as well as PhD students. Useful information is offered also to IT companies, developers of equipment and/or software for medicine and medical professionals.  .

  4. 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...

  5. 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…

  6. Enhancing learning with technology

    NARCIS (Netherlands)

    Specht, Marcus; Klemke, Roland

    2013-01-01

    Specht, M., & Klemke, R. (2013, 26-27 September). Enhancing Learning with Technology. In D. Milosevic (Ed.), Proceedings of the fourth international conference on eLearning (eLearning 2013) (pp. 37-45). Belgrade Metropolitan University, Belgrade, Serbia. http://econference.metropolitan.ac.rs/

  7. Intelligent Learning Infrastructure for Knowledge Intensive Organizations: A Semantic Web Perspective

    Science.gov (United States)

    Lytras, Miltiadis, Ed.; Naeve, Ambjorn, Ed.

    2005-01-01

    In the context of Knowledge Society, the convergence of knowledge and learning management is a critical milestone. "Intelligent Learning Infrastructure for Knowledge Intensive Organizations: A Semantic Web Perspective" provides state-of-the art knowledge through a balanced theoretical and technological discussion. The semantic web perspective…

  8. Intelligent Learning Infrastructure for Knowledge Intensive Organizations: A Semantic Web Perspective

    Science.gov (United States)

    Lytras, Miltiadis, Ed.; Naeve, Ambjorn, Ed.

    2005-01-01

    In the context of Knowledge Society, the convergence of knowledge and learning management is a critical milestone. "Intelligent Learning Infrastructure for Knowledge Intensive Organizations: A Semantic Web Perspective" provides state-of-the art knowledge through a balanced theoretical and technological discussion. The semantic web perspective…

  9. Intelligent systems technology infrastructure for integrated systems

    Science.gov (United States)

    Lum, Henry

    1991-01-01

    A system infrastructure must be properly designed and integrated from the conceptual development phase to accommodate evolutionary intelligent technologies. Several technology development activities were identified that may have application to rendezvous and capture systems. Optical correlators in conjunction with fuzzy logic control might be used for the identification, tracking, and capture of either cooperative or non-cooperative targets without the intensive computational requirements associated with vision processing. A hybrid digital/analog system was developed and tested with a robotic arm. An aircraft refueling application demonstration is planned within two years. Initially this demonstration will be ground based with a follow-on air based demonstration. System dependability measurement and modeling techniques are being developed for fault management applications. This involves usage of incremental solution/evaluation techniques and modularized systems to facilitate reuse and to take advantage of natural partitions in system models. Though not yet commercially available and currently subject to accuracy limitations, technology is being developed to perform optical matrix operations to enhance computational speed. Optical terrain recognition using camera image sequencing processed with optical correlators is being developed to determine position and velocity in support of lander guidance. The system is planned for testing in conjunction with Dryden Flight Research Facility. Advanced architecture technology is defining open architecture design constraints, test bed concepts (processors, multiple hardware/software and multi-dimensional user support, knowledge/tool sharing infrastructure), and software engineering interface issues.

  10. 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.

  11. Emotional Intelligence Profiles and Learning Strategies in Secondary School Students

    Science.gov (United States)

    Inglés, Cándido J.; Martínez-Monteagudo, María C.; Pérez Fuentes, Maria C.; García-Fernández, José M.; Molero, María del Mar; Suriá-Martinez, Raquel; Gázquez, José J.

    2017-01-01

    The aim of this study was to analyse the relationship among emotional intelligence (EI) and learning strategies, identifying different emotional intelligence profiles and determining possible statistically significant differences in learning strategies through the identified profiles. Thousand and seventy-one Spaniards secondary school students…

  12. Developing Emotional Intelligence Abilities through Team-Based Learning

    Science.gov (United States)

    Clarke, Nicholas

    2010-01-01

    A few studies have appeared in the literature suggesting that team learning might be an effective means for developing emotional intelligence (EI) abilities in the workplace. This study investigated the effects of attending a one-day emotional intelligence training session followed by participating in team-based learning on ability-based measures…

  13. Adding Intelligence to a Learning Environment: Learner-Centred Design?

    Science.gov (United States)

    Brna, Paul; Cox, R.

    1998-01-01

    Discussion of learner-centered design focuses on the development of switchEr, a specific learning environment changed to an intelligent learning environment by switching from one external representation (ER) to another. Topics include user-centered design; the role of artificial intelligence; and the development of effective educational computing…

  14. IS Learning: The Impact of Gender and Team Emotional Intelligence

    Science.gov (United States)

    Dunaway, Mary M.

    2013-01-01

    In university settings, dysfunction in teamwork often challenges problem-based learning in IS projects. Researchers of IS Education have largely overlooked Team Emotional Intelligence (TEI), which offers a collective cognitive skill that may benefit the student learning experience. Hypothesized are four dimensions of emotional intelligence (EI)…

  15. Technologies used for research in intelligent buildings

    Science.gov (United States)

    Kolková, Zuzana; Matušov, Jozef; Mokrý, Marián

    2016-06-01

    The efficient use of primary energy and their impact on the environment is influenced in several ways. The key is implementation of modern low-energy structures and technologies in building construction, the use of high energy sources such fossil fuels and renewable energy, the optimal management, appropriate choice of sources of heat and cold. Optimal control of energy consumption in buildings and premises may be an appropriate choice of sources of heat and cold. Energy sources should be in addition to high efficiency and meet the requirement of minimizing the emission load environment. All this can be achieved by implementing the construction of intelligent buildings. University of Žilina in the project Research Centre of the University of Žilina decided to build such building. Use of this building will be addressing many research activities at the university with links to industry.

  16. 2015 International Conference on Information Technology and Intelligent Transportation Systems

    CERN Document Server

    Jain, Lakhmi; Zhao, Xiangmo

    2017-01-01

    This volume includes the proceedings of the 2015 International Conference on Information Technology and Intelligent Transportation Systems (ITITS 2015) which was held in Xi’an on December 12-13, 2015. The conference provided a platform for all professionals and researchers from industry and academia to present and discuss recent advances in the field of Information Technology and Intelligent Transportation Systems. The presented information technologies are connected to intelligent transportation systems including wireless communication, computational technologies, floating car data/floating cellular data, sensing technologies, and video vehicle detection. The articles focusing on intelligent transport systems vary in the technologies applied, from basic management systems to more application systems including topics such as emergency vehicle notification systems, automatic road enforcement, collision avoidance systems and some cooperative systems. The conference hosted 12 invited speakers and over 200 part...

  17. 2nd International Symposium on Intelligent Systems Technologies and Applications

    CERN Document Server

    Mitra, Sushmita; Thampi, Sabu; El-Alfy, El-Sayed

    2016-01-01

    This book constitutes the thoroughly refereed proceedings of the second International Symposium on Intelligent Systems Technologies and Applications (ISTA’16), held on September 21–24, 2016 in Jaipur, India. The 80 revised papers presented were carefully reviewed and selected from 210 initial submissions and are organized in topical sections on image processing and artificial vision, computer networks and distributed systems, intelligent tools and techniques and applications using intelligent techniques.

  18. Review of the National Defense Intelligence College's Master's Degree in Science and Technology Intelligence

    Science.gov (United States)

    National Academies Press, 2011

    2011-01-01

    The National Research Council (NRC) was asked by the National Defense Intelligence College (NDIC) to convene a committee to review the curriculum and syllabi for their proposed master of science degree in science and technology intelligence. The NRC was asked to review the material provided by the NDIC and offer advice and recommendations…

  19. The Role of Artificial Intelligence Technologies in Crisis Response

    CERN Document Server

    Khalil, Khaled M; Nazmy, Taymour T; Salem, Abdel-Badeeh M

    2008-01-01

    Crisis response poses many of the most difficult information technology in crisis management. It requires information and communication-intensive efforts, utilized for reducing uncertainty, calculating and comparing costs and benefits, and managing resources in a fashion beyond those regularly available to handle routine problems. In this paper, we explore the benefits of artificial intelligence technologies in crisis response. This paper discusses the role of artificial intelligence technologies; namely, robotics, ontology and semantic web, and multi-agent systems in crisis response.

  20. Technology Enhanced Learning Spaces

    NARCIS (Netherlands)

    Specht, Marcus

    2016-01-01

    Today’s tools and learning environments are often not designed for supporting situated, social, and mobile learning experiences and linking them to real world experiences. The talk will discuss some of the approaches for linking information space and real world space with new technology. By linking

  1. International Conference on Intelligence and Learning

    CERN Document Server

    Das, J; O’Connor, Neil

    1981-01-01

    This volume contains the Proceedings of an International Conference on Intelligence and Learning held at York University, England, on July 16-20, 1979. The conference was made possible with the support and assistance of the following agencies: NAT 0 Scientific Division, specifically the Human Factors panel, was the major sponsor of the conference. Special thanks are due to Dr. B. A. Bayraktar, who helped organize the conference. Special appreciation is also expressed for the support of the University of York where the conference was held, the University of Alberta, the University of California, Los Angeles, the Medical Research Council, especially its Developmental Psychology Research U nit in London, and the British Council. The conference was jointly directed by J. P. Das and N. 0' Connor. The directors appreciate the assistance in administrative matters of Patricia Chobater and Emma Collins of the University of Alberta. The Editors of the Proceedings acknowledge and appreciate the following individuals who...

  2. Intelligent Learning Environments wthin Blended Learning for Ensuring Effective C Programming Course

    OpenAIRE

    2012-01-01

    This paper describes a blended learning implementation and experience supported with intelligent learning environments included in a learning management system (LMS) called @KU-UZEM. The blended learning model is realized as a combination of face to face education and e-learning. The intelligent learning environments consist of two applications named CTutor, ITest. In addition to standard e-learning tools, students can use CTutor to resolve C programming exercises. CTutor is a ...

  3. 8th KES International Conference on Intelligent Decision Technologies

    CERN Document Server

    Caballero, Alfonso; Howlett, Robert; Jain, Lakhmi

    2016-01-01

    The KES-IDT-2016 proceedings give an excellent insight into recent research, both theoretical and applied, in the field of intelligent decision making. The range of topics explored is wide, and covers methods of grouping, classification, prediction, decision support, modelling and many more in such areas as finance, linguistics, medicine, management and transportation. This proceedings contain several sections devoted to specific topics, such as: · Specialized Decision Techniques for Data Mining, Transportation and Project Management · Pattern Recognition for Decision Making Systems · New Advances of Soft Computing in Industrial and Management Engineering · Recent Advances in Fuzzy Systems · Intelligent Data Analysis and Applications · Reasoning-based Intelligent Systems · Intelligent Methods for Eye Movement Data Processing and Analysis · Intelligent Decision Technologies for Water Resources Management · Intelligent Decision Making for Uncertain Unstructured Big Data · Decision Making Theory for Ec...

  4. On the track of Artificial Intelligence: Learning with Intelligent Personal Assistants

    Directory of Open Access Journals (Sweden)

    Nil Goksel Canbek

    2016-01-01

    Full Text Available In a technology dominated world, useful and timely information can be accessed quickly via Intelligent Personal Assistants (IPAs.  By the use of these assistants built into mobile operating systems, daily electronic tasks of a user can be accomplished 24/7. Such tasks like taking dictation, getting turn-by-turn directions, vocalizing email messages, reminding daily appointments, setting reminders, responding any factual questions and invoking apps can be completed by  IPAs such as Apple’s Siri, Google Now and Microsoft Cortana. The mentioned assistants programmed within Artificial Intelligence (AI do create an interaction between human and computer through a natural language used in digital communication. In this regard, the overall purpose of this study is to examine the potential use of IPAs that use advanced cognitive computing technologies and Natural Language Processing (NLP for learning. To achieve this purpose, the working system of IPAs is reviewed briefly within the scope of AI that has recently become smarter to predict, comprehend and carry out multi-step and complex requests of users.

  5. 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…

  6. Intelligibility and Acceptability Testing for Speech Technology

    Science.gov (United States)

    1992-05-22

    information-the acoustic-phonetic cues for consonant and vowel identity, and suprasegmental or prosodic information-the intonation, timing, and intensity cues...phoneme intelligibility, but the standard tests include discriminations only in initial and final positions in single syllable words. Suprasegmental ...Sentence structure also affects suprasegmental cues-pitch, intensity, and segmental duration. Sentence intelligibility is usually scored on the basis

  7. Hostile Intelligence Threat U.S. Technology

    Science.gov (United States)

    1988-11-01

    Assistant Secretary of Defense for DoD 5200.1-PH-2 Command, Control, Comunnications , and Intelligence (703) 695-2686 DEPARTMENT OF DEFENSE DTIC...intelligence threat: "* PROGRAM MANAGER Telephone: "* INSTALLATION SECURITY OFFICE Telephone: "* LOCAL DIS COGNIZANT SECURITY OFFICE (Industrial

  8. 2nd International Conference on Intelligent Technologies and Engineering Systems

    CERN Document Server

    Chen, Cheng-Yi; Yang, Cheng-Fu

    2014-01-01

    This book includes the original, peer reviewed research papers from the 2nd International Conference on Intelligent Technologies and Engineering Systems (ICITES2013), which took place on December 12-14, 2013 at Cheng Shiu University in Kaohsiung, Taiwan. Topics covered include: laser technology, wireless and mobile networking, lean and agile manufacturing, speech processing, microwave dielectrics, intelligent circuits and systems, 3D graphics, communications, and structure dynamics and control.

  9. Multiple Intelligences and Language Learning Strategies: Investigating Possible Relations

    Science.gov (United States)

    Akbari, Ramin; Hosseini, Kobra

    2008-01-01

    The present study was conducted to investigate the existence of any possible relationship between the use of language learning strategies and multiple intelligences' scores of foreign language learners of English. Ninety subjects participated in the study. To measure the participants' multiple intelligence scores, MIDAS, a commercially designed…

  10. Social learning and evolution: the cultural intelligence hypothesis.

    Science.gov (United States)

    van Schaik, Carel P; Burkart, Judith M

    2011-04-12

    If social learning is more efficient than independent individual exploration, animals should learn vital cultural skills exclusively, and routine skills faster, through social learning, provided they actually use social learning preferentially. Animals with opportunities for social learning indeed do so. Moreover, more frequent opportunities for social learning should boost an individual's repertoire of learned skills. This prediction is confirmed by comparisons among wild great ape populations and by social deprivation and enculturation experiments. These findings shaped the cultural intelligence hypothesis, which complements the traditional benefit hypotheses for the evolution of intelligence by specifying the conditions in which these benefits can be reaped. The evolutionary version of the hypothesis argues that species with frequent opportunities for social learning should more readily respond to selection for a greater number of learned skills. Because improved social learning also improves asocial learning, the hypothesis predicts a positive interspecific correlation between social-learning performance and individual learning ability. Variation among primates supports this prediction. The hypothesis also predicts that more heavily cultural species should be more intelligent. Preliminary tests involving birds and mammals support this prediction too. The cultural intelligence hypothesis can also account for the unusual cognitive abilities of humans, as well as our unique mechanisms of skill transfer.

  11. Intelligent Learning for Knowledge Graph towards Geological Data

    Directory of Open Access Journals (Sweden)

    Yueqin Zhu

    2017-01-01

    Full Text Available Knowledge graph (KG as a popular semantic network has been widely used. It provides an effective way to describe semantic entities and their relationships by extending ontology in the entity level. This article focuses on the application of KG in the traditional geological field and proposes a novel method to construct KG. On the basis of natural language processing (NLP and data mining (DM algorithms, we analyze those key technologies for designing a KG towards geological data, including geological knowledge extraction and semantic association. Through this typical geological ontology extracting on a large number of geological documents and open linked data, the semantic interconnection is achieved, KG framework for geological data is designed, application system of KG towards geological data is constructed, and dynamic updating of the geological information is completed accordingly. Specifically, unsupervised intelligent learning method using linked open data is incorporated into the geological document preprocessing, which generates a geological domain vocabulary ultimately. Furthermore, some application cases in the KG system are provided to show the effectiveness and efficiency of our proposed intelligent learning approach for KG.

  12. Building information modeling based on intelligent parametric technology

    Institute of Scientific and Technical Information of China (English)

    ZENG Xudong; TAN Jie

    2007-01-01

    In order to push the information organization process of the building industry,promote sustainable architectural design and enhance the competitiveness of China's building industry,the author studies building information modeling (BIM) based on intelligent parametric modeling technology.Building information modeling is a new technology in the field of computer aided architectural design,which contains not only geometric data,but also the great amount of engineering data throughout the lifecycle of a building.The author also compares BIM technology with two-dimensional CAD technology,and demonstrates the advantages and characteristics of intelligent parametric modeling technology.Building information modeling,which is based on intelligent parametric modeling technology,will certainly replace traditional computer aided architectural design and become the new driving force to push forward China's building industry in this information age.

  13. 2015 Chinese Intelligent Systems Conference

    CERN Document Server

    Du, Junping; Li, Hongbo; Zhang, Weicun; CISC’15

    2016-01-01

    This book presents selected research papers from the 2015 Chinese Intelligent Systems Conference (CISC’15), held in Yangzhou, China. The topics covered include multi-agent systems, evolutionary computation, artificial intelligence, complex systems, computation intelligence and soft computing, intelligent control, advanced control technology, robotics and applications, intelligent information processing, iterative learning control, and machine learning. Engineers and researchers from academia, industry and the government can gain valuable insights into solutions combining ideas from multiple disciplines in the field of intelligent systems.

  14. CONDITIONS REQUIRED FOR CREATING SOCIETAL INTELLIGENCE IN STUDENTS OF A GRADUATE SCHOOL OF TECHNOLOGIES

    Directory of Open Access Journals (Sweden)

    Dmitriy Vladimirovich GULYAKIN

    2014-01-01

    Full Text Available The paper considered both the outer circumstances globally shaped and the learning environment set at a graduate school of technologies being both conditions entailing creation of societal intelligence in students of the college. The outer circumstances globally shaped mean the general features of the modern society that enters into the era of information society, reflecting the course of information processing and supply, of global-ized standards and communication round the world.Learning preconditions represent the settled circum-stances manifesting the social humanism targets for the learning environment at a graduate school of technolo-gies.

  15. Research and Conceptualization of Ontologies in Intelligent Learning Systems

    Science.gov (United States)

    Deliyska, Boryana; Manoilov, Peter

    2010-01-01

    The intelligent learning systems provide direct customized instruction to the learners without the intervention of human tutors on the basis of Semantic Web resources. Principal roles use ontologies as instruments for modeling learning processes, learners, learning disciplines and resources. This paper examines the variety, relationships, and…

  16. Developing and Understanding Intelligent Contexts for Playing and Learning

    DEFF Research Database (Denmark)

    Larsen, Lasse Juel; Helms, Niels Henrik

    This paper outlines experiences and reflections on the research and development project “Octopus” in order to describe and illustrate how intelligent context facilitates and embody learning and play. The framework is a research and development project where we have tried to work we new kinds...... structure and process (or flow) or it could be formulated in a more philosophical way: The relationship between epistemology and ontology in a designed set up for learning i.e. a classroom setting with learning mediated through intelligent tangible learning media. The tangible learning media...... is an intelligent environment, which is intentionally designed as a dynamic field between structure and flow. Structures regarded as a scaffolding learning principle and flow understood as cross between play and game experiences. Octopus embeds a dialogical principle in order to establish clear sense of progression...

  17. Personalized E- learning System Based on Intelligent Agent

    Science.gov (United States)

    Duo, Sun; Ying, Zhou Cai

    Lack of personalized learning is the key shortcoming of traditional e-Learning system. This paper analyzes the personal characters in e-Learning activity. In order to meet the personalized e-learning, a personalized e-learning system based on intelligent agent was proposed and realized in the paper. The structure of system, work process, the design of intelligent agent and the realization of intelligent agent were introduced in the paper. After the test use of the system by certain network school, we found that the system could improve the learner's initiative participation, which can provide learners with personalized knowledge service. Thus, we thought it might be a practical solution to realize self- learning and self-promotion in the lifelong education age.

  18. Intelligent Machine Learning Approaches for Aerospace Applications

    Science.gov (United States)

    Sathyan, Anoop

    Machine Learning is a type of artificial intelligence that provides machines or networks the ability to learn from data without the need to explicitly program them. There are different kinds of machine learning techniques. This thesis discusses the applications of two of these approaches: Genetic Fuzzy Logic and Convolutional Neural Networks (CNN). Fuzzy Logic System (FLS) is a powerful tool that can be used for a wide variety of applications. FLS is a universal approximator that reduces the need for complex mathematics and replaces it with expert knowledge of the system to produce an input-output mapping using If-Then rules. The expert knowledge of a system can help in obtaining the parameters for small-scale FLSs, but for larger networks we will need to use sophisticated approaches that can automatically train the network to meet the design requirements. This is where Genetic Algorithms (GA) and EVE come into the picture. Both GA and EVE can tune the FLS parameters to minimize a cost function that is designed to meet the requirements of the specific problem. EVE is an artificial intelligence developed by Psibernetix that is trained to tune large scale FLSs. The parameters of an FLS can include the membership functions and rulebase of the inherent Fuzzy Inference Systems (FISs). The main issue with using the GFS is that the number of parameters in a FIS increase exponentially with the number of inputs thus making it increasingly harder to tune them. To reduce this issue, the FLSs discussed in this thesis consist of 2-input-1-output FISs in cascade (Chapter 4) or as a layer of parallel FISs (Chapter 7). We have obtained extremely good results using GFS for different applications at a reduced computational cost compared to other algorithms that are commonly used to solve the corresponding problems. In this thesis, GFSs have been designed for controlling an inverted double pendulum, a task allocation problem of clustering targets amongst a set of UAVs, a fire

  19. 7th KES International Conference on Intelligent Decision Technologies

    CERN Document Server

    Jain, Lakhmi; Howlett, Robert

    2015-01-01

    This book presents the 57 papers accepted for presentation at the Seventh KES International Conference on Intelligent Decision Technologies (KES-IDT 2015), held in Sorrento, Italy, in June 2015. The conference consists of keynote talks, oral and poster presentations, invited sessions and workshops on the applications and theory of intelligent decision systems and related areas. The conference provides an opportunity for the presentation and discussion of interesting new research results, promoting knowledge transfer and the generation of new ideas. The book will be of interest to all those whose work involves the development and application of intelligent decision systems.

  20. Emerging CAE technologies and their role in Future Ambient Intelligence Environments

    Science.gov (United States)

    Noor, Ahmed

    2011-03-01

    Dramatic improvements are on the horizon in Computer Aided Engineering (CAE) and various simulation technologies. The improvements are due, in part, to the developments in a number of leading-edge technologies and their synergistic combinations/convergence. The technologies include ubiquitous, cloud, and petascale computing; ultra high-bandwidth networks, pervasive wireless communication; knowledge based engineering; networked immersive virtual environments and virtual worlds; novel human-computer interfaces; and powerful game engines and facilities. This paper describes the frontiers and emerging simulation technologies, and their role in the future virtual product creation and learning/training environments. The environments will be ambient intelligence environments, incorporating a synergistic combination of novel agent-supported visual simulations (with cognitive learning and understanding abilities); immersive 3D virtual world facilities; development chain management systems and facilities (incorporating a synergistic combination of intelligent engineering and management tools); nontraditional methods; intelligent, multimodal and human-like interfaces; and mobile wireless devices. The Virtual product creation environment will significantly enhance the productivity and will stimulate creativity and innovation in future global virtual collaborative enterprises. The facilities in the learning/training environment will provide timely, engaging, personalized/collaborative and tailored visual learning.

  1. Intelligence.

    Science.gov (United States)

    Sternberg, Robert J

    2012-03-01

    Intelligence is the ability to learn from experience and to adapt to, shape, and select environments. Intelligence as measured by (raw scores on) conventional standardized tests varies across the lifespan, and also across generations. Intelligence can be understood in part in terms of the biology of the brain-especially with regard to the functioning in the prefrontal cortex-and also correlates with brain size, at least within humans. Studies of the effects of genes and environment suggest that the heritability coefficient (ratio of genetic to phenotypic variation) is between .4 and .8, although heritability varies as a function of socioeconomic status and other factors. Racial differences in measured intelligence have been observed, but race is a socially constructed rather than biological variable, so such differences are difficult to interpret.

  2. Ambient Intelligence and Persuasive Technology: The Blurring Boundaries Between Human and Technology.

    NARCIS (Netherlands)

    Verbeek, Peter P.C.C.

    2009-01-01

    The currently developing fields of Ambient Intelligence and Persuasive Technology bring about a convergence of information technology and cognitive science. Smart environments that are able to respond intelligently to what we do and that even aim to influence our behaviour challenge the basic

  3. Ambient Intelligence and Persuasive Technology: The Blurring Boundaries Between Human and Technology

    NARCIS (Netherlands)

    Verbeek, Peter-Paul

    2009-01-01

    The currently developing fields of Ambient Intelligence and Persuasive Technology bring about a convergence of information technology and cognitive science. Smart environments that are able to respond intelligently to what we do and that even aim to influence our behaviour challenge the basic framew

  4. Bringing Business Intelligence to Health Information Technology Curriculum

    Science.gov (United States)

    Zheng, Guangzhi; Zhang, Chi; Li, Lei

    2015-01-01

    Business intelligence (BI) and healthcare analytics are the emerging technologies that provide analytical capability to help healthcare industry improve service quality, reduce cost, and manage risks. However, such component on analytical healthcare data processing is largely missed from current healthcare information technology (HIT) or health…

  5. Bringing Business Intelligence to Health Information Technology Curriculum

    Science.gov (United States)

    Zheng, Guangzhi; Zhang, Chi; Li, Lei

    2015-01-01

    Business intelligence (BI) and healthcare analytics are the emerging technologies that provide analytical capability to help healthcare industry improve service quality, reduce cost, and manage risks. However, such component on analytical healthcare data processing is largely missed from current healthcare information technology (HIT) or health…

  6. Warfighter information services: lessons learned in the intelligence domain

    Science.gov (United States)

    Bray, S. E.

    2014-05-01

    A vision was presented in a previous paper of how a common set of services within a framework could be used to provide all the information processing needs of Warfighters. Central to that vision was the concept of a "Virtual Knowledge Base". The paper presents an implementation of these ideas in the intelligence domain. Several innovative technologies were employed in the solution, which are presented and their benefits explained. The project was successful, validating many of the design principles for such a system which had been proposed in earlier work. Many of these principles are discussed in detail, explaining lessons learned. The results showed that it is possible to make vast improvements in the ability to exploit available data, making it discoverable and queryable wherever it is from anywhere within a participating network; and to exploit machine reasoning to make faster and better inferences from available data, enabling human analysts to spend more of their time doing more difficult analytical tasks rather than searching for relevant data. It was also demonstrated that a small number of generic Information Processing services can be combined and configured in a variety of ways (without changing any software code) to create "fact-processing" workflows, in this case to create different intelligence analysis capabilities. It is yet to be demonstrated that the same generic services can be reused to create analytical/situational awareness capabilities for logistics, operations, planning or other military functions but this is considered likely.

  7. Intelligent Adaptation and Personalization Techniques in Computer-Supported Collaborative Learning

    CERN Document Server

    Demetriadis, Stavros; Xhafa, Fatos

    2012-01-01

    Adaptation and personalization have been extensively studied in CSCL research community aiming to design intelligent systems that adaptively support eLearning processes and collaboration. Yet, with the fast development in Internet technologies, especially with the emergence of new data technologies and the mobile technologies, new opportunities and perspectives are opened for advanced adaptive and personalized systems. Adaptation and personalization are posing new research and development challenges to nowadays CSCL systems. In particular, adaptation should be focused in a multi-dimensional way (cognitive, technological, context-aware and personal). Moreover, it should address the particularities of both individual learners and group collaboration. As a consequence, the aim of this book is twofold. On the one hand, it discusses the latest advances and findings in the area of intelligent adaptive and personalized learning systems. On the other hand it analyzes the new implementation perspectives for intelligen...

  8. DynaLearn - An Intelligent Learning Environment for Learning Conceptual Knowledge

    NARCIS (Netherlands)

    Bredeweg, B.; Liem, J.; Beek, W.; Linnebank, F.; Gracia, J.; Lozano, E.; Wißner, M.; Bühling, R.; Salles, P.; Noble, R.; Zitek, A.; Borisova, P.; Mioduser, D.

    2013-01-01

    Articulating thought in computer-based media is a powerful means for humans to develop their understanding of phenomena. We have created DynaLearn, an Intelligent Learning Environment that allows learners to acquire conceptual knowledge by constructing and simulating qualitative models of how system

  9. Multiple Intelligences in Virtual and Traditional Skill Instructional Learning Environments

    Science.gov (United States)

    McKethan, Robert; Rabinowitz, Erik; Kernodle, Michael W.

    2010-01-01

    The purpose of this investigation was to examine (a) how Multiple Intelligence (MI) strengths correlate to learning in virtual and traditional environments and (b) the effectiveness of learning with and without an authority figure in attendance. Participants (N=69) were randomly assigned to four groups, administered the Multiple Intelligences…

  10. Artificial Intelligence in Teaching and Learning: An Introduction.

    Science.gov (United States)

    Stubbs, Malcolm; Piddock, Peter

    1985-01-01

    Discussion of intelligent computer assisted learning (CAL) systems considers both those that offer natural language communication to the user and those that are adaptive, generative, or self-improving. Current interest in student-built learning environments (exemplified by work with LOGO and PROLOG) is examined, and obstacles to future intelligent…

  11. A Conversational Intelligent Tutoring System to Automatically Predict Learning Styles

    Science.gov (United States)

    Latham, Annabel; Crockett, Keeley; McLean, David; Edmonds, Bruce

    2012-01-01

    This paper proposes a generic methodology and architecture for developing a novel conversational intelligent tutoring system (CITS) called Oscar that leads a tutoring conversation and dynamically predicts and adapts to a student's learning style. Oscar aims to mimic a human tutor by implicitly modelling the learning style during tutoring, and…

  12. Towards an intelligent learning management system under blended learning trends, profiles and modeling perspectives

    CERN Document Server

    Dias, Sofia B; Hadjileontiadis, Leontios J

    2013-01-01

    This book offers useful information that evokes initiatives towards rethinking of the value, efficiency, inclusiveness, effectiveness and personalization of the intelligent learning management systems-based blended-learning environment.

  13. Collaborative Learning: Group Interaction in an Intelligent Mobile-Assisted Multiple Language Learning System

    Science.gov (United States)

    Troussas, Christos; Virvou, Maria; Alepis, Efthimios

    2014-01-01

    This paper proposes a student-oriented approach tailored to effective collaboration between students using mobile phones for language learning within the life cycle of an intelligent tutoring system. For this reason, in this research, a prototype mobile application has been developed for multiple language learning that incorporates intelligence in…

  14. 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

  15. The Effect of Multiple Intelligences on DDL Vocabulary Learning

    Directory of Open Access Journals (Sweden)

    Asma’a Abdulrazzaq Al-Mahbashi

    2017-01-01

    Full Text Available Over the past decades, the potential for the direct use of corpora known as data driven learning (DDL has gained great prominence in English language classrooms. A substantial number of empirical studies demonstrated that DDL instruction positively affects students’ learning. As learning outcomes can be affected by individual differences, some researchers have investigated the efficiency of DDL in the light of learners’ different characteristics to determine the type of learners who were more responsive to DDL. The DDL literature has indicated the need for more research addressing for whom DDL best suits. Therefore, the aim of the current study was to examine whether or not learners’ predominant intelligences were significant predictors of DDL learning outcomes. The sample for this study included 30 female EFL Yemeni students at Sana’a University. The study used three primary instruments:  a multiple intelligence questionnaire, a posttest and a delayed test on the vocabulary that was taught using DDL. The result of the correlation analyses between the participants’ three identified predominant intelligences and their performances in the posttest and delayed test showed an insignificant relationship between the variables. The regression analyses results also revealed that the predominant intelligences insignificantly predicted the participants’ posttest and delayed test performances.  Based on these findings, learners’ needs and preferences should be activated and addressed by classroom instructions for creating a diverse and motivating learning environment. Keywords: corpora, DDL, individual differences, IQ, multiple intelligences

  16. Artificial Intelligence-The Emerging Technology

    Directory of Open Access Journals (Sweden)

    R. P. Shenoy

    1985-04-01

    Full Text Available Artificial Intelligence (AI, once considered as an obscure branch of computer science, is now having a growing number of adherents in a wide variety of fields. AI is particularly useful for combat automation in defence. The combined works of computer scientists and technologists and cognitive scientists have brought out for intelligent information processing knowledge is the key factor. In the last few years, AI has been tried out with a high degree of success in certain areas such as the Expert Systems and the Computer Vision Systems. Both these have great potential in target classification and identification, information fusion, multiradar Air Defence Network, C2 (Command andControl operations etc. in defence.

  17. International Conference on Information and Communication Technology for Intelligent Systems

    CERN Document Server

    Das, Swagatam

    2016-01-01

    This volume contains 60 papers presented at ICTIS 2015: International Conference on Information and Communication Technology for Intelligent Systems. The conference was held during 28th and 29th November, 2015, Ahmedabad, India and organized communally by Venus International College of Technology, Association of Computer Machinery, Ahmedabad Chapter and Supported by Computer Society of India Division IV – Communication and Division V – Education and Research. This volume contains papers mainly focused on ICT and its application for Intelligent Computing, Cloud Storage, Data Mining, Image Processing and Software Analysis etc.

  18. Intelligent web data management software architectures and emerging technologies

    CERN Document Server

    Ma, Kun; Yang, Bo; Sun, Runyuan

    2016-01-01

    This book presents some of the emerging techniques and technologies used to handle Web data management. Authors present novel software architectures and emerging technologies and then validate using experimental data and real world applications. The contents of this book are focused on four popular thematic categories of intelligent Web data management: cloud computing, social networking, monitoring and literature management. The Volume will be a valuable reference to researchers, students and practitioners in the field of Web data management, cloud computing, social networks using advanced intelligence tools.

  19. Personalized Intelligent Mobile Learning System for Supporting Effective English Learning

    Science.gov (United States)

    Chen, Chih-Ming; Hsu, Shih-Hsun

    2008-01-01

    Since English has been an international language, how to enhance English levels of people by useful computer assisted learning forms or tools is a critical issue in non-English speaking countries because it definitely affects the overall competition ability of a country. With the rapid growth of wireless and mobile technologies, the mobile…

  20. Developing and Understanding Intelligent Contexts for Playing and Learning

    DEFF Research Database (Denmark)

    Larsen, Lasse Juel; Helms, Niels Henrik

    This paper outlines experiences and reflections on the research and development project “Octopus” in order to describe and illustrate how intelligent context facilitates and embody learning and play. The framework is a research and development project where we have tried to work we new kinds...... of tangible learning media and develop didactic approaches for teachers in a primary school and furthermore to use the user experiences in a structured process where children participated in the innovation process. This has raised a fundamental question: How should we understand the relationship between...... structure and process (or flow) or it could be formulated in a more philosophical way: The relationship between epistemology and ontology in a designed set up for learning i.e. a classroom setting with learning mediated through intelligent tangible learning media. The tangible learning media...

  1. 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.

  2. P300 correlates with learning & memory abilities and fluid intelligence.

    Science.gov (United States)

    Amin, Hafeez Ullah; Malik, Aamir Saeed; Kamel, Nidal; Chooi, Weng-Tink; Hussain, Muhammad

    2015-09-23

    Educational psychology research has linked fluid intelligence with learning and memory abilities and neuroimaging studies have specifically associated fluid intelligence with event related potentials (ERPs). The objective of this study is to find the relationship of ERPs with learning and memory recall and predict the memory recall score using P300 (P3) component. A sample of thirty-four healthy subjects between twenty and thirty years of age was selected to perform three tasks: (1) Raven's Advanced Progressive Matrices (RAPM) test to assess fluid intelligence; (2) learning and memory task to assess learning ability and memory recall; and (3) the visual oddball task to assess brain-evoked potentials. These subjects were divided into High Ability (HA) and Low Ability (LA) groups based on their RAPM scores. A multiple regression analysis was used to predict the learning & memory recall and fluid intelligence using P3 amplitude and latency. Behavioral results demonstrated that the HA group learned and recalled 10.89 % more information than did the LA group. ERP results clearly showed that the P3 amplitude of the HA group was relatively larger than that observed in the LA group for both the central and parietal regions of the cerebrum; particularly during the 300-400 ms time window. In addition, a shorter latency for the P3 component was observed at Pz site for the HA group compared to the LA group. These findings agree with previous educational psychology and neuroimaging studies which reported an association between ERPs and fluid intelligence as well as learning performance. These results also suggest that the P3 component is associated with individual differences in learning and memory recall and further indicate that P3 amplitude might be used as a supporting factor in standard psychometric tests to assess an individual's learning & memory recall ability; particularly in educational institutions to aid in the predictability of academic skills.

  3. Developing Emotion-Aware, Advanced Learning Technologies: A Taxonomy of Approaches and Features

    Science.gov (United States)

    Harley, Jason M.; Lajoie, Susanne P.; Frasson, Claude; Hall, Nathan C.

    2017-01-01

    A growing body of work on intelligent tutoring systems, affective computing, and artificial intelligence in education is exploring creative, technology-driven approaches to enhance learners' experience of adaptive, positively-valenced emotions while interacting with advanced learning technologies. Despite this, there has been no published work to…

  4. Leveraging Intelligent Vehicle Technologies to Maximize Fuel Economy (Presentation)

    Energy Technology Data Exchange (ETDEWEB)

    Gonder, J.

    2011-11-01

    Advancements in vehicle electronics, along with communication and sensing technologies, have led to a growing number of intelligent vehicle applications. Example systems include those for advanced driver information, route planning and prediction, driver assistance, and crash avoidance. The National Renewable Energy Laboratory is exploring ways to leverage intelligent vehicle systems to achieve fuel savings. This presentation discusses several potential applications, such as providing intelligent feedback to drivers on specific ways to improve their driving efficiency, and using information about upcoming driving to optimize electrified vehicle control strategies for maximum energy efficiency and battery life. The talk also covers the potential of Advanced Driver Assistance Systems (ADAS) and related technologies to deliver significant fuel savings in addition to providing safety and convenience benefits.

  5. 3rd International Conference on Intelligent Technologies and Engineering Systems

    CERN Document Server

    2016-01-01

    This book includes the original, peer reviewed research from the 3rd International Conference on Intelligent Technologies and Engineering Systems (ICITES2014), held in December, 2014 at Cheng Shiu University in Kaohsiung, Taiwan. Topics covered include: Automation and robotics, fiber optics and laser technologies, network and communication systems, micro and nano technologies, and solar and power systems. This book also Explores emerging technologies and their application in a broad range of engineering disciplines Examines fiber optics and laser technologies Covers biomedical, electrical, industrial, and mechanical systems Discusses multimedia systems and applications, computer vision and image & video signal processing.

  6. Learning from an Ambient Assisted Living Lab: the case of the intelligent bed.

    Science.gov (United States)

    Bygholm, Ann; Kanstrup, Anne Marie

    2014-01-01

    This paper presents methodological lessons learned from an Ambient Assisted Living (AAL) lab exploring the use of intelligent beds in a nursing home. The living lab study was conducted over a period of three month. 20 intelligent beds were installed. Data was collected via self-registration, diaries, observations, interviews and workshops with residents, nurses, nursing assistants, management, building officers, and purchasers from the Municipality. The paper presents an analysis within the overall themes of technology, use, and care, which is discussed by use of the SWOT framework presenting strengths, weaknesses, opportunities, and threats identified in the living lab of the intelligent bed. The paper concludes by emphasizing the need for mature technology, long-term studies, clarification of role and tasks of different stakeholders, and attention on methods used for living lab evaluations.

  7. Laser formed intentional firearm microstamping technology: counterinsurgency intelligence gathering tool

    Science.gov (United States)

    Lizotte, Todd E.; Ohar, Orest P.

    2009-09-01

    Warfare relies on effective, accurate and timely intelligence an especially critical task when conducting a counterinsurgency operation [1]. Simply stated counterinsurgency is an intelligence war. Both insurgents and counterinsurgents need effective intelligence capabilities to be successful. Insurgents and counterinsurgents therefore attempt to create and maintain intelligence networks and fight continuously to neutralize each other's intelligence capabilities [1][2]. In such an environment it is obviously an advantage to target or proactively create opportunities to track and map an insurgent movement. Quickly identifying insurgency intelligence assets (Infiltrators) within a host government's infrastructure is the goal. Infiltrators can occupy various areas of government such as security personnel, national police force, government offices or military units. Intentional Firearm Microstamping offers such opportunities when implemented into firearms. Outfitted within firearms purchased and distributed to the host nation's security forces (civilian and military), Intentional Firearm Microstamping (IFM) marks bullet cartridge casings with codes as they are fired from the firearm. IFM is incorporated onto optimum surfaces with the firearm mechanism. The intentional microstamp tooling marks can take the form of alphanumeric codes or encoded geometric codes that identify the firearm. As the firearm is discharged the intentional tooling marks transfer a code to the cartridge casing which is ejected out of the firearm. When recovered at the scene of a firefight or engagement, the technology will provide forensic intelligence allowing the mapping and tracking of small arms traffic patterns within the host nation or identify insurgency force strength and pinpoint firearm sources, such as corrupt/rogue military units or police force. Intentional Firearm Microstamping is a passive mechanical trace technology that can be outfitted or retrofitted to semiautomatic handguns and

  8. Application of Artificial Intelligence technology to the analysis and synthesis of reliable software systems

    Science.gov (United States)

    Wild, Christian; Eckhardt, Dave

    1987-01-01

    The development of a methodology for the production of highly reliable software is one of the greatest challenges facing the computer industry. Meeting this challenge will undoubtably involve the integration of many technologies. This paper describes the use of Artificial Intelligence technologies in the automated analysis of the formal algebraic specifications of abstract data types. These technologies include symbolic execution of specifications using techniques of automated deduction and machine learning through the use of examples. On-going research into the role of knowledge representation and problem solving in the process of developing software is also discussed.

  9. 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...

  10. Intelligent open learning systems concepts, models and algorithms

    CERN Document Server

    Rózewski, Przemyslaw; Tadeusiewicz, Ryszard; Zaikin, Oleg

    2011-01-01

    In presented book the Intelligent Open Learning Systems (IOLS) are proposed, described, discussed, and evaluated. The IOLS is a system in which traditional methods of online teaching are enhanced through the use of artificial intelligence and cognitive science. This is the main topic of the book. It consists of ten chapters and is divided into three parts. The first part concentrates on the Open Learning System (OLS) analysis, in particular: the social and educational meanings of the OLS, the new role of the teacher and the new requirements regarding the structure of didactic material. Moreove

  11. Intelligent Learning Environments wthin Blended Learning for Ensuring Effective C Programming Course

    Directory of Open Access Journals (Sweden)

    Utku Kose

    2012-01-01

    Full Text Available This paper describes a blended learning implementation and experience supported with intelligent learning environments included in a learning management system (LMS called @KU-UZEM. The blended learning model is realized as a combination of face to face education and e-learning. The intelligent learning environments consist of two applications named CTutor, ITest. In addition to standard e-learning tools, students can use CTutor to resolve C programming exercises. CTutor is a problem-solving environment, which diagnoses students’ knowledge level but also gives feedbacks and tips to help them to understand the course subject, overcome their misconceptions and reinforce learnt concepts. ITest provides an assessment environment in which students can take quizzes that were prepared according to their learning levels. The realized model was used for two terms in the “C Programming” course given at Afyon Kocatepe University. A survey was conducted at the end of the course to find out to what extent the students were accepting the blended learning model supported with @KU-UZEM and to discover students’ attitude towards intelligent learning environments. Additionally, an experiment formed with an experimental group who took an active part in the realized model and a control group who only took the face to face education was performed during the first term of the course. According to the results, students were satisfied with intelligent learning environments and the realized learning model. Furthermore, the use of intelligent learning environments improved the students’ knowledge about C programming.

  12. Web 2.0 Learning Platform: Harnessing Collective Intelligence

    Science.gov (United States)

    Rogers, P. Clint; Liddle, Stephen W.; Chan, Peter; Doxey, Aaron; Isom, Brady

    2007-01-01

    The rate of technological diffusion and the pace at which technology is altering how and with whom we connect is astounding. Although not at the same pace, theoretical views of learning and teaching are also changing. Whereas much of the initial e-learning simply patterned old models of teaching and learning, the new technological possibilities…

  13. Agents and ambient intelligence achievements and challenges in the intersection of agent technology and ambient intelligence

    CERN Document Server

    Bosse, T

    2012-01-01

    The concept of an intelligent agent - a computational system capable of performing certain tasks autonomously - derived from the growing potential of digital computers in the mid 20th century and had been widely adopted by the early 1990s. Partly in parallel with this concept, the perspective of ambient intelligence (AmI) emerged in the late 1990s.Agent technology and AmI have many similarities, and the main purpose of this book is to provide an overview of the state-of-the-art of the scientific area that integrates these two. The book addresses a wide variety of topics related to agents and A

  14. Multiple Intelligence and Digital Learning Awareness of Prospective B.Ed Teachers

    Science.gov (United States)

    Gracious, F. L. Antony; Shyla, F. L. Jasmine Anne

    2012-01-01

    The present study Multiple Intelligence and Digital Learning Awareness of prospective B.Ed teachers was probed to find the relationship between Multiple Intelligence and Digital Learning Awareness of Prospective B.Ed Teachers. Data for the study were collected using self made Multiple Intelligence Inventory and Digital Learning Awareness Scale.…

  15. An agent -based Intelligent System to enhance E-Learning through Mining Techniques

    Directory of Open Access Journals (Sweden)

    S.Prakasam

    2010-05-01

    Full Text Available The growth of Internet has created new ways for education systems. Learners and teachers realize their pedagogic activities with less effort, time and money. Agent Based Intelligent System (ABIS have proved their worth in multiple ways and in multiple domains in Education. In this paper the application of an agent-based IntelligentSystem for enhancing E-learning is introduced. An ABIS is a system that provides direct customized instruction or feedback to studentswithout the intervention of human beings. With the explosion of content on the World Wide Web (WWW, the scope of application of Data and Web Mining to E- Learning applications has increased tremendously. In this work, we identify a set of applications which go one step ahead from ABIS and use the WWW to aid the learning process of the “learning object content”. Each application hasa high level of coupling with the knowledge representation model, which models the resources stored in the Digital Library.This research presents the architecture for simplifying and automating the process of creating the domain model for an intelligent e-learningsystem. In this work we present an Knowledge representation of educational resources, using the World Wide Web. The effective and accurate intelligent systems based on the mining technologies have become the most important research issue. An agent-based recommendation system helps communities of learners in searchingthe web for information. This paper reports on the conceptualstructure that has evolved to define the development process for the pedagogical agents. It also proposes getting rich source of Information,such as the hyperlinks among pages or the Web usage information using web data mining technology Based on intelligent search systems and here we propose an architecture model of e- mLearning process using the agent paradigm.

  16. Mobile and ubiquitous learning technologies

    NARCIS (Netherlands)

    Specht, Marcus

    2012-01-01

    Specht, M. (2012, 22 November). Mobile and ubiquitous learning technologies. Presentation given at the Workshop "Blended Learning an Hochschulen" at the Fakultätentag Informatik at the Universität Jena, Jena, Germany.

  17. Mobile and ubiquitous learning technologies

    NARCIS (Netherlands)

    Specht, Marcus

    2012-01-01

    Specht, M. (2012, 22 November). Mobile and ubiquitous learning technologies. Presentation given at the Workshop "Blended Learning an Hochschulen" at the Fakultätentag Informatik at the Universität Jena, Jena, Germany.

  18. Smart-system of distance learning of visually impaired people based on approaches of artificial intelligence

    Science.gov (United States)

    Samigulina, Galina A.; Shayakhmetova, Assem S.

    2016-11-01

    Research objective is the creation of intellectual innovative technology and information Smart-system of distance learning for visually impaired people. The organization of the available environment for receiving quality education for visually impaired people, their social adaptation in society are important and topical issues of modern education.The proposed Smart-system of distance learning for visually impaired people can significantly improve the efficiency and quality of education of this category of people. The scientific novelty of proposed Smart-system is using intelligent and statistical methods of processing multi-dimensional data, and taking into account psycho-physiological characteristics of perception and awareness learning information by visually impaired people.

  19. Mobile Technologies for Lifelong Learning

    OpenAIRE

    Alina Mihaela ION

    2015-01-01

    The article presents an analysis of the impact of using mobile devices on participants at the lifelong learning educational process. Human durable development involves adapting to new hardware and software technologies supported by the progress of information and communication technology. Along with technological evolution the access to mobile devices knew a significant growth and encouraged the extension of educational process towards lifelong learning through mobile devices. Thus m-Learning...

  20. Ambient Intelligence and Persuasive Technology: The Blurring Boundaries Between Human and Technology.

    Science.gov (United States)

    Verbeek, Peter-Paul

    2009-12-01

    The currently developing fields of Ambient Intelligence and Persuasive Technology bring about a convergence of information technology and cognitive science. Smart environments that are able to respond intelligently to what we do and that even aim to influence our behaviour challenge the basic frameworks we commonly use for understanding the relations and role divisions between human beings and technological artifacts. After discussing the promises and threats of these technologies, this article develops alternative conceptions of agency, freedom, and responsibility that make it possible to better understand and assess the social roles of Ambient Intelligence and Persuasive Technology. The central claim of the article is that these new technologies urge us to blur the boundaries between humans and technologies also at the level of our conceptual and moral frameworks.

  1. Using Learning Modalities to Celebrate Intelligence.

    Science.gov (United States)

    Samples, Bob

    1992-01-01

    Jerome Bruner identified three major ways of knowing: iconic, enactive, and symbolic. Schooling has been dominantly framed in the symbolic, and intelligence and achievement were measured in this realm. Gregory Bateson, concerned with mind-nature separation, differentiated between the map (a human-made abstraction) and the territory (the natural…

  2. Using Learning Modalities to Celebrate Intelligence.

    Science.gov (United States)

    Samples, Bob

    1992-01-01

    Jerome Bruner identified three major ways of knowing: iconic, enactive, and symbolic. Schooling has been dominantly framed in the symbolic, and intelligence and achievement were measured in this realm. Gregory Bateson, concerned with mind-nature separation, differentiated between the map (a human-made abstraction) and the territory (the natural…

  3. 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.

  4. Advanced intelligent computational technologies and decision support systems

    CERN Document Server

    Kountchev, Roumen

    2014-01-01

    This book offers a state of the art collection covering themes related to Advanced Intelligent Computational Technologies and Decision Support Systems which can be applied to fields like healthcare assisting the humans in solving problems. The book brings forward a wealth of ideas, algorithms and case studies in themes like: intelligent predictive diagnosis; intelligent analyzing of medical images; new format for coding of single and sequences of medical images; Medical Decision Support Systems; diagnosis of Down’s syndrome; computational perspectives for electronic fetal monitoring; efficient compression of CT Images; adaptive interpolation and halftoning for medical images; applications of artificial neural networks for real-life problems solving; present and perspectives for Electronic Healthcare Record Systems; adaptive approaches for noise reduction in sequences of CT images etc.

  5. Multiple Intelligences to Promote Metacognition in the Online Learning Environment

    Science.gov (United States)

    Stewart, Daniel P.

    2013-01-01

    This representative embedded study embraced hermeneutic qualitative methods and was grounded in the constructivist paradigm. The study explored how Howard Gardner's Theory of Multiple Intelligences (MI), promoted metacognition leading to self-efficacy in online learning. The number of colleges offering online courses has grown tremendously,…

  6. A Contest-Oriented Project for Learning Intelligent Mobile Robots

    Science.gov (United States)

    Huang, Hsin-Hsiung; Su, Juing-Huei; Lee, Chyi-Shyong

    2013-01-01

    A contest-oriented project for undergraduate students to learn implementation skills and theories related to intelligent mobile robots is presented in this paper. The project, related to Micromouse, Robotrace (Robotrace is the title of Taiwanese and Japanese robot races), and line-maze contests was developed by the embedded control system research…

  7. "Group Intelligence": An Active Learning Exploration of Diversity in Evolution

    Science.gov (United States)

    Parsons, Christopher J.; Salaita, Meisa K.; Hughes, Catherine H.; Lynn, David G.; Fristoe, Adam; Fristoe, Ariel; Grover, Martha A.

    2017-01-01

    "Group Intelligence" is an active learning, inquiry-based activity that introduces prebiotic chemistry, emergent complexity, and diversity's importance to adaptability across scales. Students explore the molecular emergence of order and function through theatrical exercises and games. Through 20 min of audio instruction and a discussion…

  8. Developing and Understanding Intelligent Contexts for Playing and Learning

    DEFF Research Database (Denmark)

    Larsen, Lasse Juel; Helms, Niels Henrik

    2009-01-01

    This short paper outlines experiences and reflections on the research and development project “Octopus” in order to describe and illustrate how intelligent context facilitates and embody learning. The framework is a research and development project where we have tried to work with new kinds of ta...

  9. The TENOR Architecture for Advanced Distributed Learning and Intelligent Training

    Science.gov (United States)

    2002-01-01

    accomplishes its tasks by NOT using static web pages, but by storing training material in a database and creating customized web pages on the fly. As...The highlights of the system are one: that learning material is stored in a database, and NOT in static web pages; two, our intelligent engine

  10. The Intelligent Video Playback System Based on RFID Technology

    Directory of Open Access Journals (Sweden)

    Jie Zeng

    2012-10-01

    Full Text Available With the rapid development of electronic information technology, traditional interpretation pattern in exhibition building and museum is developing towards digitization, information, intelligence, automation and multi functionality. A novel intelligent video playback system, which can be widely used in tourism and exhibition, is provided in this paper. The video playing system consists of radio frequency identification (RFID module and video playback module. The novel system integrates advanced RFID technology, embedded control technology, and video playing technology. The RFID module identifies visitors, and selects the language and other information. The main chip of the RFID module card reader is MF RC522 which is working in frequency bands of 13.56 MHz, and the microcontroller of the module is Atmega8. C programming language was used to program microcontroller in order to realize the function of automatically reading. The video playback module realizes the function of playing video files and controlling RFID module. On the hardware design of the video playback module, the S3C2440 chip with ARM920T core was selected as the main control chip. The video playback module was developed by WinCE developing platform. Related drivers and application software were developed to control card reader, select language and to play the video file. The intelligent video playback system has several advantages such as: good real-time property, high portability and easy in maintenance. The system has its application prospect in exhibition and tourism.

  11. Technology and Second Language Learning

    Science.gov (United States)

    Lin, Li Li

    2009-01-01

    Current technology provides new opportunities to increase the effectiveness of language learning and teaching. Incorporating well-organized and effective technology into second language learning and teaching for improving students' language proficiency has been refined by researchers and educators for many decades. Based on the rapidly changing…

  12. Artificial intelligence and nuclear power. Report by the Technology Transfer Artificial Intelligence Task Team

    Energy Technology Data Exchange (ETDEWEB)

    1985-06-01

    The Artificial Intelligence Task Team was organized to review the status of Artificial Intelligence (AI) technology, identify guidelines for AI work, and to identify work required to allow the nuclear industry to realize maximum benefit from this technology. The state of the nuclear industry was analyzed to determine where the application of AI technology could be of greatest benefit. Guidelines and criteria were established to focus on those particular problem areas where AI could provide the highest possible payoff to the industry. Information was collected from government, academic, and private organizations. Very little AI work is now being done to specifically support the nuclear industry. The AI Task Team determined that the establishment of a Strategic Automation Initiative (SAI) and the expansion of the DOE Technology Transfer program would ensure that AI technology could be used to develop software for the nuclear industry that would have substantial financial payoff to the industry. The SAI includes both long and short term phases. The short-term phase includes projects which would demonstrate that AI can be applied to the nuclear industry safely, and with substantial financial benefit. The long term phase includes projects which would develop AI technologies with specific applicability to the nuclear industry that would not be developed by people working in any other industry.

  13. Developing and Understanding Intelligent Contexts for Playing and Learning

    DEFF Research Database (Denmark)

    Larsen, Lasse Juel; Helms, Niels Henrik

    2009-01-01

    This short paper outlines experiences and reflections on the research and development project “Octopus” in order to describe and illustrate how intelligent context facilitates and embody learning. The framework is a research and development project where we have tried to work with new kinds...... of tangible learning media and develop didactic approaches for teachers in primary school and furthermore to use the user experiences in a structured process where children participated in the innovation process. This has raised a fundamental question: How should we understand the relationship between......, embodiment, intelligent contexts, structure and flow. This paper does this through Bachtins concept of “Chronotopos” or how time and space influence and structure experience and learning....

  14. Speech Recognition Technology Applied to Intelligent Mobile Navigation System

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    The capability of human-computer interaction reflects the intelligent degree of mobile navigation system.The navigation data and functions of mobile navigation system are divided into system commands and non-system commands in this paper.And then a group of speech commands are Abstracted.This paper applies speech recognition technology to intelligent mobile navigation system to process speech commands and does some deep research on the integration of speech recognition technology with mobile navigation system.The navigation operation can be performed by speech commands,which makes human-computer interaction easy during navigation.Speech command interface of navigation system is implemented by Dutty ++ Software,which is based on speech recognition system -Via Voice of IBM.Through navigation experiments,navigation can be done almost without keyboard,which proved that human-computer interaction is very convenient by speech commands and the reliability is also higher.

  15. Emotional Intelligence as a Determinant of Readiness for Online Learning

    Science.gov (United States)

    Buzdar, Muhammad Ayub; Ali, Akhtar; Tariq, Riaz Ul Haq

    2016-01-01

    Students' performance in online learning environments is associated with their readiness to adopt a digital learning approach. Traditional concept of readiness for online learning is connected with students' competencies of using technology for learning purposes. We in this research, however, investigated psychometric aspects of students'…

  16. MyMiCROscope: intelligent virtual microscopy in a blended learning model at Ulm University.

    Science.gov (United States)

    Schmidt, C; Reinehr, M; Leucht, O; Behrendt, N; Geiler, S; Britsch, S

    2011-10-20

    The growing diversity among students and the rapid increase in new technologies entering the system of higher education, demand reconsideration of traditional learning methods. To improve the individual student's learning situation we developed and integrated a novel virtual microscope, MyMiCROscope, into a face-to-face approach for teaching microscopic anatomy. The intelligent virtual microscope has not only enabled self-directed learning of the students at their individual learning speed independent of time and place but also offered new possibilities to interact with the user because it implements systematic annotations accessible from different operational levels. Furthermore the alteration of a sole instructor-led course into a blended learning model resulted in a change of the learning behaviour of the students: group work and social interactions were facilitated. The results of this study show the advantages that intelligent virtual microscopy incorporates for self-directed learning and that blended learning in undergraduate medical education is able to fulfil the individual needs of the students and support social interactions without disregarding practical skills.

  17. Learning Better Context Characterizations: An Intelligent Information Retrieval Approach

    CERN Document Server

    Lorenzetti, Carlos M

    2010-01-01

    This paper proposes an incremental method that can be used by an intelligent system to learn better descriptions of a thematic context. The method starts with a small number of terms selected from a simple description of the topic under analysis and uses this description as the initial search context. Using these terms, a set of queries are built and submitted to a search engine. New documents and terms are used to refine the learned vocabulary. Evaluations performed on a large number of topics indicate that the learned vocabulary is much more effective than the original one at the time of constructing queries to retrieve relevant material.

  18. A Distributed Intelligent E-Learning System

    Science.gov (United States)

    Kristensen, Terje

    2016-01-01

    An E-learning system based on a multi-agent (MAS) architecture combined with the Dynamic Content Manager (DCM) model of E-learning, is presented. We discuss the benefits of using such a multi-agent architecture. Finally, the MAS architecture is compared with a pure service-oriented architecture (SOA). This MAS architecture may also be used within…

  19. OPUS One: An Intelligent Adaptive Learning Environment Using Artificial Intelligence Support

    Science.gov (United States)

    Pedrazzoli, Attilio

    2010-06-01

    AI based Tutoring and Learning Path Adaptation are well known concepts in e-Learning scenarios today and increasingly applied in modern learning environments. In order to gain more flexibility and to enhance existing e-learning platforms, the OPUS One LMS Extension package will enable a generic Intelligent Tutored Adaptive Learning Environment, based on a holistic Multidimensional Instructional Design Model (PENTHA ID Model), allowing AI based tutoring and adaptation functionality to existing Web-based e-learning systems. Relying on "real time" adapted profiles, it allows content- / course authors to apply a dynamic course design, supporting tutored, collaborative sessions and activities, as suggested by modern pedagogy. The concept presented combines a personalized level of surveillance, learning activity- and learning path adaptation suggestions to ensure the students learning motivation and learning success. The OPUS One concept allows to implement an advanced tutoring approach combining "expert based" e-tutoring with the more "personal" human tutoring function. It supplies the "Human Tutor" with precise, extended course activity data and "adaptation" suggestions based on predefined subject matter rules. The concept architecture is modular allowing a personalized platform configuration.

  20. Societal, Economic, Ethical and Legal Challenges of the Digital Revolution: From Big Data to Deep Learning, Artificial Intelligence, and Manipulative Technologies

    CERN Document Server

    Helbing, Dirk

    2015-01-01

    In the wake of the on-going digital revolution, we will see a dramatic transformation of our economy and most of our societal institutions. While the benefits of this transformation can be massive, there are also tremendous risks to our society. After the automation of many production processes and the creation of self-driving vehicles, the automation of society is next. This is moving us to a tipping point and to a crossroads: we must decide between a society in which the actions are determined in a top-down way and then implemented by coercion or manipulative technologies (such as personalized ads and nudging) or a society, in which decisions are taken in a free and participatory way and mutually coordinated. Modern information and communication systems (ICT) enable both, but the latter has economic and strategic benefits. The fundaments of human dignity, autonomous decision-making, and democracies are shaking, but I believe that they need to be vigorously defended, as they are not only core principles of l...

  1. Gaining Cultural Intelligence through Second Life Learning Interventions

    Directory of Open Access Journals (Sweden)

    Sarah Ellin Siegel

    2010-08-01

    Full Text Available Companies’ investment in international assignments remains essential, but is affordable for only relatively few employees. In today’s global economy, many employees must gain cultural intelligence. Encyclopedic web sites and smart game simulations are ill-equipped to offer the live, authentic immersive experience of Virtual World environments; learning from colleagues who are country-natives through interacting with them in a Virtual World like Second Life is the next best thing to being there, and it requires no travel. Virtual world learning sessions with local ambassadors are affordable on a massive scale compared with international assignments. In addition, through Virtual World experiences, international assignees can be more effective with colleagues from their assigned countries prior to boarding planes, even prior to Day 1 of the assignment. This research proposal, including a literature review and a research design, asks, and begins to answer: What can cultural intelligence learning in Second Life achieve or advance that cultural intelligence learning in real-life within the cultures, smart game simulations and encyclopedic, self-service web sites cannot as readily?

  2. Coupling between Metacognition and Emotions during STEM Learning with Advanced Learning Technologies: A Critical Analysis, Implications for Future Research, and Design of Learning Systems

    Science.gov (United States)

    Azevedo, Roger; Mudrick, Nicholas; Taub, Michelle; Wortha, Franz

    2017-01-01

    Metacognition and emotions play a critical role in learners' ability to monitor and regulate their learning about 21st-century skills related to science, technology, engineering, and mathematics (STEM) content while using advanced learning technologies (ALTs; e.g., intelligent tutoring systems, serious games, hypermedia, augmented reality). In…

  3. Intelligent Inventory Control via Ruminative Reinforcement Learning

    Directory of Open Access Journals (Sweden)

    Tatpong Katanyukul

    2014-01-01

    learning (RRL has been introduced recently based on this approach. RRL is motivated by how humans contemplate the consequences of their actions in trying to learn how to make a better decision. This study further investigates the issues of RRL and proposes new RRL methods applied to inventory management. Our investigation provides insight into different RRL characteristics, and our experimental results show the viability of the new methods.

  4. In the Context of Multiple Intelligences Theory, Intelligent Data Analysis of Learning Styles Was Based on Rough Set Theory

    Science.gov (United States)

    Narli, Serkan; Ozgen, Kemal; Alkan, Huseyin

    2011-01-01

    The present study aims to identify the relationship between individuals' multiple intelligence areas and their learning styles with mathematical clarity using the concept of rough sets which is used in areas such as artificial intelligence, data reduction, discovery of dependencies, prediction of data significance, and generating decision…

  5. Intelligent learning environments within blended learning for ensuring effective C programming course

    CERN Document Server

    Kose, Utku

    2012-01-01

    This paper describes a blended learning implementation and experience supported with intelligent learning environments included in a learning management system (LMS) called @KU-UZEM. The blended learning model is realized as a combination of face to face education and e-learning. The intelligent learning environments consist of two applications named CTutor, ITest. In addition to standard e-learning tools, students can use CTutor to resolve C programming exercises. CTutor is a problem-solving environment, which diagnoses students' knowledge level but also gives feedbacks and tips to help them to understand the course subject, overcome their misconceptions and reinforce learnt concepts. ITest provides an assessment environment in which students can take quizzes that were prepared according to their learning levels. The realized model was used for two terms in the "C Programming" course given at Afyon Kocatepe University. A survey was conducted at the end of the course to find out to what extent the students we...

  6. [Role of the implicit theories of intelligence in learning situations].

    Science.gov (United States)

    Da Fonseca, D; Cury, F; Bailly, D; Rufo, M

    2004-01-01

    Most studies have tried to explain the school difficulties by analysing the intellectual factors that lead to school failure. However in addition to the instrumental capacities, authors also recognize the role played by other factors such as motivation. More specifically, the theory of achievement motivation aims to determine motivational factors involved in achievement situations when the students have to demonstrate their competencies. This paradigm attributes a central place to beliefs in order to explain children's behavior in academic situations. According to Dweck, it seems that beliefs about the nature of intelligence have a very powerful impact on behavior. These implicit theories of intelligence create a meaning system or conceptual framework that influences the individual interpretation of school situations. Thus, an entity theory of intelligence is the belief that intelligence is a fixed trait, a personal quality that cannot be changed. Students who subscribe to this theory believe that although people can learn new things, their underlying intelligence remains the same. In contrast, an incremental theory of intelligence is the belief that intelligence is a malleable quality that can increase through efforts. The identification of these two theories allows us to understand the cognition and behavior of individuals in achievement situations. Many studies carried out in the academic area show that students who hold an entity theory of intelligence (ie they consider intelligence like a stable quality) have a strong tendency to attribute their failures to a fixed trait. They are more likely to blame their intelligence for ne-gative outcomes and to attribute failures to their bad intellectual ability. In contrast, students who hold an incremental theory of intelligence (ie they consider intelligence as a malleable quality) are more likely to understand the same ne-gative outcomes in terms of specific factors: they attribute them to a lack of effort. This

  7. The interdependence between learning styles and and types of intelligence in students of Psychology specialization

    Directory of Open Access Journals (Sweden)

    Petru Jelescu

    2016-11-01

    Full Text Available Learning styles and types of intelligence are essential features of effective learning. Discovering and creative approach could be more appropriate form of learning to the current conditions of society.

  8. Technology for Education and Learning

    CERN Document Server

    2012 international conference on Technology for Education and Learning (ICTEL 2012)

    2012-01-01

    This volume contains 108 selected papers presented at the 2012 international conference on Technology for Education and Learning (ICTEL 2012), Macau, China, March 1-2, 2012. The conference brought together researchers working in various different areas of Technology for Education and Learning with a main emphasis on technology for business and economy in order to foster international collaborations and exchange of new ideas. This proceedings book has its focus on Technology for Economy, Finance and Education representing some of the major subareas presented at the conference.

  9. Machine learning for healthcare technologies

    CERN Document Server

    Clifton, David A

    2016-01-01

    This book brings together chapters on the state-of-the-art in machine learning (ML) as it applies to the development of patient-centred technologies, with a special emphasis on 'big data' and mobile data.

  10. Intelligent Fuzzy Spelling Evaluator for e-Learning Systems

    Science.gov (United States)

    Chakraborty, Udit Kr.; Konar, Debanjan; Roy, Samir; Choudhury, Sankhayan

    2016-01-01

    Evaluating Learners' Response in an e-Learning environment has been the topic of current research in areas of Human Computer Interaction, e-Learning, Education Technology and even Natural Language Processing. The current paper presents a twofold strategy to evaluate single word response of a learner in an e-Learning environment. The response of…

  11. The Learning Organisation Part II. "Getting Emotional": The Learning Organisation and Emotional Intelligence. CLMS Working Paper.

    Science.gov (United States)

    Hughes, Jason

    Emotional intelligence (EI) can be a diagnostic tool and a set of guiding principals to address the learning organization's concern of overcoming the barriers to collective learning. EI can be defined as "how well you handle yourself." It refers to "emotional literacy" and a person's capacity to manage emotions and use them as a resource. This is…

  12. Language Technologies for Lifelong Learning

    NARCIS (Netherlands)

    Greller, Wolfgang

    2011-01-01

    Greller, W. (2010). Language Technologies for Lifelong Learning. In S. Trausan-Matu & P. Dessus (Eds.), Proceedings of the Natural Language Processing in Support of Learning: Metrics, Feedback and Connectivity. Second Internationl Workshop - NLPSL 2010 (pp. 6-8). September, 14, 2010, Bucharest,

  13. Language Technologies for Lifelong Learning

    NARCIS (Netherlands)

    Greller, Wolfgang

    2011-01-01

    Greller, W. (2010). Language Technologies for Lifelong Learning. In S. Trausan-Matu & P. Dessus (Eds.), Proceedings of the Natural Language Processing in Support of Learning: Metrics, Feedback and Connectivity. Second Internationl Workshop - NLPSL 2010 (pp. 6-8). September, 14, 2010, Bucharest, Roma

  14. Language Technologies for Lifelong Learning

    NARCIS (Netherlands)

    Greller, Wolfgang

    2011-01-01

    Greller, W. (2010). Language Technologies for Lifelong Learning. In S. Trausan-Matu & P. Dessus (Eds.), Proceedings of the Natural Language Processing in Support of Learning: Metrics, Feedback and Connectivity. Second Internationl Workshop - NLPSL 2010 (pp. 6-8). September, 14, 2010, Bucharest, Roma

  15. INTELLIGENT LEARNING ENVIRONMENTS WITHIN BLENDED LEARNING FOR ENSURING EFFECTIVE C PROGRAMMING COURSE

    Directory of Open Access Journals (Sweden)

    Utku Kose

    2012-02-01

    Full Text Available This paper describes a blended learning implementation and experience supported with intelligentlearning environments included in a learning management system (LMS called @KU-UZEM. Theblended learning model is realized as a combination of face to face education and e-learning. Theintelligent learning environments consist of two applications named CTutor, ITest. In addition tostandard e-learning tools, students can use CTutor to resolve C programming exercises. CTutor is aproblem-solving environment, which diagnoses students’ knowledge level but also gives feedbacks andtips to help them to understand the course subject, overcome their misconceptions and reinforce learntconcepts. ITest provides an assessment environment in which students can take quizzes that wereprepared according to their learning levels. The realized model was used for two terms in the “CProgramming” course given at Afyon Kocatepe University. A survey was conducted at the end of thecourse to find out to what extent the students were accepting the blended learning model supported with@KU-UZEM and to discover students’ attitude towards intelligent learning environments. Additionally,an experiment formed with an experimental group who took an active part in the realized model and acontrol group who only took the face to face education was performed during the first term of the course.According to the results, students were satisfied with intelligent learning environments and the realizedlearning model. Furthermore, the use of intelligent learning environments improved the students’knowledge about C programming.

  16. A Cybernetic Design Methodology for 'Intelligent' Online Learning Support

    Science.gov (United States)

    Quinton, Stephen R.

    The World Wide Web (WWW) provides learners and knowledge workers convenient access to vast stores of information, so much that present methods for refinement of a query or search result are inadequate - there is far too much potentially useful material. The problem often encountered is that users usually do not recognise what may be useful until they have progressed some way through the discovery, learning, and knowledge acquisition process. Additional support is needed to structure and identify potentially relevant information, and to provide constructive feedback. In short, support for learning is needed. The learning envisioned here is not simply the capacity to recall facts or to recognise objects. The focus is on learning that results in the construction of knowledge. Although most online learning platforms are efficient at delivering information, most do not provide tools that support learning as envisaged in this chapter. It is conceivable that Web-based learning environments can incorporate software systems that assist learners to form new associations between concepts and synthesise information to create new knowledge. This chapter details the rationale and theory behind a research study that aims to evolve Web-based learning environments into 'intelligent thinking' systems that respond to natural language human input. Rather than functioning simply as a means of delivering information, it is argued that online learning solutions will 1 day interact directly with students to support their conceptual thinking and cognitive development.

  17. Implementation of Multiple Intelligences Supported Project-Based Learning in EFL/ESL Classrooms

    Science.gov (United States)

    Bas, Gokhan

    2008-01-01

    This article deals with the implementation of Multiple Intelligences supported Project-Based learning in EFL/ESL Classrooms. In this study, after Multiple Intelligences supported Project-based learning was presented shortly, the implementation of this learning method into English classrooms. Implementation process of MI supported Project-based…

  18. Applications of artificial intelligence technology to wastewater treatment fields in China

    Institute of Scientific and Technical Information of China (English)

    QING Xiao-xia; WANG Bo; MENG De-tao

    2005-01-01

    Current applications of artificial intelligence technology to wastewater treatment in China are summarized. Wastewater treatment plants use expert system mainly in the operation decision-making and fault diagnosis of system operation, use artificial neuron network for system modeling, water quality forecast and soft measure, and use fuzzy control technology for the intelligence control of wastewater treatment process. Finally, the main problems in applying artificial intelligence technology to wastewater treatment in China are analyzed.

  19. The Impact of Emotional Intelligence in the Context of Language Learning and Teaching

    Directory of Open Access Journals (Sweden)

    Tevdovska Elena Spirovska

    2017-06-01

    Full Text Available Emotional intelligence, a set of skills which are considered as necessary in the context of interaction with other people, was defined by a number of authors, including Goleman (1996, Gardner and Mayer & Salovey. A number of studies investigated the impact of emotional intelligence on learning, teaching and education. The focus of this article is to explore the definition of emotional intelligence and the impact that emotional intelligence and affective factors have in the context of foreign language learning and teaching. The article also focuses on research conducted with a group of 23 students and their self assessment of emotional intelligence as well as their perceptions of the ways emotional intelligence has an impact on foreign language learning. The article attempts to provide recommendations of implementing activities and teaching practices in the context of foreign language learning and teaching aiming to foster emotional intelligence development.

  20. From machine learning to deep learning: progress in machine intelligence for rational drug discovery.

    Science.gov (United States)

    Zhang, Lu; Tan, Jianjun; Han, Dan; Zhu, Hao

    2017-09-04

    Machine intelligence, which is normally presented as artificial intelligence, refers to the intelligence exhibited by computers. In the history of rational drug discovery, various machine intelligence approaches have been applied to guide traditional experiments, which are expensive and time-consuming. Over the past several decades, machine-learning tools, such as quantitative structure-activity relationship (QSAR) modeling, were developed that can identify potential biological active molecules from millions of candidate compounds quickly and cheaply. However, when drug discovery moved into the era of 'big' data, machine learning approaches evolved into deep learning approaches, which are a more powerful and efficient way to deal with the massive amounts of data generated from modern drug discovery approaches. Here, we summarize the history of machine learning and provide insight into recently developed deep learning approaches and their applications in rational drug discovery. We suggest that this evolution of machine intelligence now provides a guide for early-stage drug design and discovery in the current big data era. Copyright © 2017 Elsevier Ltd. All rights reserved.

  1. Roadmap will point way for future intelligent building technologies

    Energy Technology Data Exchange (ETDEWEB)

    Anon

    2001-12-31

    A project, funded by five government departments, is underway to develop a roadmap, or guide, for intelligent building technologies to help the construction industry by identifying emerging technologies and market niches, and thereby help stakeholders to make investment and policy decisions. The project concentrates on technologies related to high-rise residential, commercial, industrial and institutional buildings, and covers a spectrum from main equipment to sensors, and communications, artificial reasoning and automated controls for energy management, office automation, indoor environment, local area networking, security, fire control, and maintenance scheduling. The project is overseen by the Institute for Research in Construction of the National Research Council. Also participating is the Continental Automated Building Association (CABA) who act as project managers. Steering committee membership includes representatives from Bell Canada, Honeywell, Hydro-Quebec, IBM, NRC, Natural Resources Canada, Nortel Networks, Siemens and Tridel Corporation. The project is expected to be completed in late spring/early summer of 2001.

  2. The application of artificial intelligence technology to aeronautical system design

    Science.gov (United States)

    Bouchard, E. E.; Kidwell, G. H.; Rogan, J. E.

    1988-01-01

    This paper describes the automation of one class of aeronautical design activity using artificial intelligence and advanced software techniques. Its purpose is to suggest concepts, terminology, and approaches that may be useful in enhancing design automation. By understanding the basic concepts and tasks in design, and the technologies that are available, it will be possible to produce, in the future, systems whose capabilities far exceed those of today's methods. Some of the tasks that will be discussed have already been automated and are in production use, resulting in significant productivity benefits. The concepts and techniques discussed are applicable to all design activity, though aeronautical applications are specifically presented.

  3. KEY TECHNOLOGY IN INTELLIGENT CONTROL FOR SHEET METAL DEEP DRAWING

    Institute of Scientific and Technical Information of China (English)

    罗亚军; 赵军; 何丹农; 张永清

    2001-01-01

    Intellectualization of sheet metal in deep drawing is a new combined technology, which is concerned with control science and computer science and sheet metal forming theory. The intelligent control system for sheet metal deep drawing consists of four fundamental factors: real-time measurement, identification, prediction and control. Real-time identification of material properties and friction coefficient is the most important factor in the whole system. An artificial neural network model for identification of the material properties and friction coefficient was established according to deep drawing characteristics and more automation. The identification of the material properties and friction coefficient was realized.

  4. Contribution to Language Teaching and Learning: A Review of Emotional Intelligence

    Science.gov (United States)

    Sucaromana, Usaporn

    2012-01-01

    The aim of this paper is to introduce the importance of emotional intelligence and the extent to which emotional intelligence can be implemented and used to improve language teaching and learning. Since emotional intelligence is perceived to play a crucial part in every aspect of people's lives, it can be extended to language teaching and…

  5. Intelligent E-Learning Systems: Automatic Construction of Ontologies

    Science.gov (United States)

    Peso, Jesús del; de Arriaga, Fernando

    2008-05-01

    During the last years a new generation of Intelligent E-Learning Systems (ILS) has emerged with enhanced functionality due, mainly, to influences from Distributed Artificial Intelligence, to the use of cognitive modelling, to the extensive use of the Internet, and to new educational ideas such as the student-centered education and Knowledge Management. The automatic construction of ontologies provides means of automatically updating the knowledge bases of their respective ILS, and of increasing their interoperability and communication among them, sharing the same ontology. The paper presents a new approach, able to produce ontologies from a small number of documents such as those obtained from the Internet, without the assistance of large corpora, by using simple syntactic rules and some semantic information. The method is independent of the natural language used. The use of a multi-agent system increases the flexibility and capability of the method. Although the method can be easily improved, the results so far obtained, are promising.

  6. Technology transfer and learning

    NARCIS (Netherlands)

    Steenhuis, Harm-Jan; Bruijn, de Erik J.

    2002-01-01

    Despite the fact that international technology transfer has been widely studied its management still encounters many difficulties. To fully understand the issues that are relevant to the process of transferring production technology, it is necessary to determine the important factors that influence

  7. Intelligent Diagnosis Method for Rotating Machinery Using Dictionary Learning and Singular Value Decomposition

    Directory of Open Access Journals (Sweden)

    Te Han

    2017-03-01

    Full Text Available Rotating machinery is widely used in industrial applications. With the trend towards more precise and more critical operating conditions, mechanical failures may easily occur. Condition monitoring and fault diagnosis (CMFD technology is an effective tool to enhance the reliability and security of rotating machinery. In this paper, an intelligent fault diagnosis method based on dictionary learning and singular value decomposition (SVD is proposed. First, the dictionary learning scheme is capable of generating an adaptive dictionary whose atoms reveal the underlying structure of raw signals. Essentially, dictionary learning is employed as an adaptive feature extraction method regardless of any prior knowledge. Second, the singular value sequence of learned dictionary matrix is served to extract feature vector. Generally, since the vector is of high dimensionality, a simple and practical principal component analysis (PCA is applied to reduce dimensionality. Finally, the K-nearest neighbor (KNN algorithm is adopted for identification and classification of fault patterns automatically. Two experimental case studies are investigated to corroborate the effectiveness of the proposed method in intelligent diagnosis of rotating machinery faults. The comparison analysis validates that the dictionary learning-based matrix construction approach outperforms the mode decomposition-based methods in terms of capacity and adaptability for feature extraction.

  8. Intelligent Diagnosis Method for Rotating Machinery Using Dictionary Learning and Singular Value Decomposition.

    Science.gov (United States)

    Han, Te; Jiang, Dongxiang; Zhang, Xiaochen; Sun, Yankui

    2017-03-27

    Rotating machinery is widely used in industrial applications. With the trend towards more precise and more critical operating conditions, mechanical failures may easily occur. Condition monitoring and fault diagnosis (CMFD) technology is an effective tool to enhance the reliability and security of rotating machinery. In this paper, an intelligent fault diagnosis method based on dictionary learning and singular value decomposition (SVD) is proposed. First, the dictionary learning scheme is capable of generating an adaptive dictionary whose atoms reveal the underlying structure of raw signals. Essentially, dictionary learning is employed as an adaptive feature extraction method regardless of any prior knowledge. Second, the singular value sequence of learned dictionary matrix is served to extract feature vector. Generally, since the vector is of high dimensionality, a simple and practical principal component analysis (PCA) is applied to reduce dimensionality. Finally, the K-nearest neighbor (KNN) algorithm is adopted for identification and classification of fault patterns automatically. Two experimental case studies are investigated to corroborate the effectiveness of the proposed method in intelligent diagnosis of rotating machinery faults. The comparison analysis validates that the dictionary learning-based matrix construction approach outperforms the mode decomposition-based methods in terms of capacity and adaptability for feature extraction.

  9. Irrigation System through Intelligent Agents Implemented with Arduino Technology

    Directory of Open Access Journals (Sweden)

    Rodolfo SALAZAR

    2013-11-01

    Full Text Available The water has become in recent years a valuable and increasingly scarce. Its proper use in agriculture has demanded incorporate new technologies, mainly in the area of ICT. In this paper we present a smart irrigation system based on multi-agent architecture using fuzzy logic. The architecture incorporates different types of intelligent agents that an autonomous way monitor and are responsible for deciding if required enable / disable the irrigation system. This project proposes a real and innovative solution to the problem of inadequate water use with current irrigation systems employed in agricultural projects. This article presents the different technologies used, their adaptation to the solution of the problem and briefly discusses the first results obtained.

  10. Intelligent control technology for deep drawing of sheet metal

    Institute of Scientific and Technical Information of China (English)

    钱志平; 马瑞; 赵军; 杨嵩

    2008-01-01

    The intelligent press forming of sheet metal is a completely new and comprehensive technology that combines control-science, computer science, material science and metal forming theory. Although the technology originated in 1980s from America, it was focused on the spring-back of V-shaped bending. Not until 1990s was some pioneering research conducted on the intellectualized control of cup-deep drawing. The research field is expanded to the axis-symmetric part and non-axis symmetric part. After a series of theoretical and experimental research, an intellectualized control system on the deep drawing processing of sheet metal is developed. The common general feature of sheet metal on the process of deep drawing is analyzed and a completely mechanical model is concluded and the deep drawing intellectualized control of sheet metal is finally realized.

  11. Wireless intelligent alarm technology with pyroelectric infrared sensor

    Science.gov (United States)

    Chen, Xiao

    2009-07-01

    Aiming at the defects of monitoring conducted by man in the conventional practice, we study the passive intelligent automatic alarm technology based on the pyroelectric infrared sensor and wireless communication technology. The designed passive infrared wireless alarm is composed of pyroelectric infrared sensors, infrared special chip BISS0001 and their peripheral circuits. When someone enters into the detecting and monitoring range, the alarm will detect the infrared ray of the human radiation by the contactless form and detect the signals of circuit output. Then it translates them into low frequency signals relative with human sports speed, distance and direction, produce corresponding output signals through amplifying by the back state controller, switch on the work power of the wireless transmitting circuit and make it emit the alarm signals. The system enhances the monitoring level and effects and possesses many advantages such as wide detecting range, long detecting distance and high reliability.

  12. The Ecology of Social Learning in Animals and its Link with Intelligence.

    Science.gov (United States)

    van Schaik, Carel; Graber, Sereina; Schuppli, Caroline; Burkart, Judith

    2017-01-09

    Classical ethology and behavioral ecology did not pay much attention to learning. However, studies of social learning in nature reviewed here reveal the near-ubiquity of reliance on social information for skill acquisition by developing birds and mammals. This conclusion strengthens the plausibility of the cultural intelligence hypothesis for the evolution of intelligence, which assumes that selection on social learning abilities automatically improves individual learning ability. Thus, intelligent species will generally be cultural species. Direct tests of the cultural intelligence hypothesis require good estimates of the amount and kind of social learning taking place in nature in a broad variety of species. These estimates are lacking so far. Here, we start the process of developing a functional classification of social learning, in the form of the social learning spectrum, which should help to predict the mechanisms of social learning involved. Once validated, the categories can be used to estimate the cognitive demands of social learning in the wild.

  13. Lessons learned from building the iMED intelligent medical search engine.

    Science.gov (United States)

    Luo, Gang

    2009-01-01

    Searching for medical information on the Web has become highly popular, but it remains a challenging task because searchers are often uncertain about their exact medical situations and unfamiliar with medical terminology. To address this challenge, we have built an intelligent medical Web search engine called iMed. iMed introduces and extends expert system technology into the search engine domain. It uses medical knowledge and an interactive questionnaire to help searchers form queries. This paper reports the lessons we learned from building the iMed system. We believe that many of these lessons can be applied to other medical search engines as well. We systematically discuss important issues in the new field consumer-centric intelligent medical search, including input interface, output interface, search system, medical knowledge base, help system, and testing.

  14. What Learning Systems do Intelligent Agents Need? Complementary Learning Systems Theory Updated.

    Science.gov (United States)

    Kumaran, Dharshan; Hassabis, Demis; McClelland, James L

    2016-07-01

    We update complementary learning systems (CLS) theory, which holds that intelligent agents must possess two learning systems, instantiated in mammalians in neocortex and hippocampus. The first gradually acquires structured knowledge representations while the second quickly learns the specifics of individual experiences. We broaden the role of replay of hippocampal memories in the theory, noting that replay allows goal-dependent weighting of experience statistics. We also address recent challenges to the theory and extend it by showing that recurrent activation of hippocampal traces can support some forms of generalization and that neocortical learning can be rapid for information that is consistent with known structure. Finally, we note the relevance of the theory to the design of artificial intelligent agents, highlighting connections between neuroscience and machine learning.

  15. Organisational Learning with Technology

    DEFF Research Database (Denmark)

    Hundebøl, Jesper

    2008-01-01

    Based on multi-site ethno-methodological field studies in the Danish construction industry this paper examines the relational effects of 3D object-based modelling. In describing how that technology is being introduced, shaped and enacted, how it associates with, mediates and translates existing...... practices, I discuss how it has effects for work methods and routines in an (inter-)organisational setting, namely that of architects and consulting engineers. The technology is introduced in the practices in question, in part because of a program referred to as Det Digitale Byggeri (Digital Construction...

  16. Intelligent sensor networks the integration of sensor networks, signal processing and machine learning

    CERN Document Server

    Hu, Fei

    2012-01-01

    Although governments worldwide have invested significantly in intelligent sensor network research and applications, few books cover intelligent sensor networks from a machine learning and signal processing perspective. Filling this void, Intelligent Sensor Networks: The Integration of Sensor Networks, Signal Processing and Machine Learning focuses on the close integration of sensing, networking, and smart signal processing via machine learning. Based on the world-class research of award-winning authors, the book provides a firm grounding in the fundamentals of intelligent sensor networks, incl

  17. Teaching for Learning Styles and Multiple Intelligences:a Personal Reflection

    Institute of Scientific and Technical Information of China (English)

    黄雁鸿; 伍勇; 陈利平

    2009-01-01

    The paper reviewed what the literature has said about learning styles and multiple intelligences.By practicing a personal reflection on learning styles and multiple intelligences,the paper indicated that teachers need make paradigm shift respecting the fact that every student is gifted and can be taught with the same contents,approaches and assessment.Teaching for diversity should be implemented.

  18. The relationship between emotional intelligence and learning outcomes, and the mediating role of emotional conflict

    OpenAIRE

    Hjertø, Kjell B.

    2010-01-01

    A field sample of 1100 employees in the army was investigated to study the relationship between the individuals’ self reported emotional intelligence and learning outcomes in work groups, with two dimensions of emotional conflict as mediators, emotional person conflict and emotional task conflict. Most importantly, emotional intelligence predicted positively learning outcomes and emotional task conflict, and predicted negatively emotional person conflict. Further, emotional task ...

  19. Organisational Learning with Technology

    DEFF Research Database (Denmark)

    Hundebøl, Jesper

    2008-01-01

    , and on the other hand, how the program is challenged by a number of unforeseen translations - Digital Construction manifests itself in ways not anticipated in the original program. In continuation hereof follows a couple of analytical descriptions that illustrate in detail how 3D object-based modelling is enacted...... in practice. I will discuss these cases with a view to understand the implications for organising, learning and knowing in the design phases of a construction projects. Before this, however, I will present in detail the research question and how I intend to deal with it methodologically. I will outline...

  20. Machine learning based Intelligent cognitive network using fog computing

    Science.gov (United States)

    Lu, Jingyang; Li, Lun; Chen, Genshe; Shen, Dan; Pham, Khanh; Blasch, Erik

    2017-05-01

    In this paper, a Cognitive Radio Network (CRN) based on artificial intelligence is proposed to distribute the limited radio spectrum resources more efficiently. The CRN framework can analyze the time-sensitive signal data close to the signal source using fog computing with different types of machine learning techniques. Depending on the computational capabilities of the fog nodes, different features and machine learning techniques are chosen to optimize spectrum allocation. Also, the computing nodes send the periodic signal summary which is much smaller than the original signal to the cloud so that the overall system spectrum source allocation strategies are dynamically updated. Applying fog computing, the system is more adaptive to the local environment and robust to spectrum changes. As most of the signal data is processed at the fog level, it further strengthens the system security by reducing the communication burden of the communications network.

  1. Using Agent-Based Technologies to Enhance Learning in Educational Games

    Science.gov (United States)

    Tumenayu, Ogar Ofut; Shabalina, Olga; Kamaev, Valeriy; Davtyan, Alexander

    2014-01-01

    Recent research has shown that educational games positively motivate learning. However, there is a little evidence that they can trigger learning to a large extent if the game-play is supported by additional activities. We aim to support educational games development with an Agent-Based Technology (ABT) by using intelligent pedagogical agents that…

  2. Personalized Intelligent Mobile Learning System for Supporting Effective English Learning

    National Research Council Canada - National Science Library

    Chih-Ming Chen; Shih-Hsun Hsu

    2008-01-01

      Since English has been an international language, how to enhance English levels of people by useful computer assisted learning forms or tools is a critical issue in non-English speaking countries...

  3. Towards Intelligence and Flexibility of Learning and Knowledge Testing Environments

    Directory of Open Access Journals (Sweden)

    Nerijus AUKSTAKALNIS

    2006-02-01

    Full Text Available The proposed goal oriented knowledge acquisition and assessment are based on the flexible educational model and allows to implement an adaptive control of the enhanced learning process according to the requirements of student's knowledge level, his state of cognition and subject learning history. The enhanced learner knowledge model specifies how the cognition state of the user will be achieved step by step. The use case actions definition is a starting point of the specification, which depends on different levels of learning scenarios and user cognition sub goals. The use case actions specification is used as a basis to set the requirements for service software specification and attributes of learning objects respectively. The paper presents the enhanced architecture of the student self-evaluation and on-line assessment system TestTool. The system is explored as an assessment engine capable of supporting and improving the individualized intelligent goal oriented self-instructional and simulation based mode of learning, grounded on the GRID distributed service architecture.

  4. Increasing consumerism in healthcare through intelligent information technology.

    Science.gov (United States)

    Cohen, Seth B; Grote, Kurt D; Pietraszek, Wayne E; Laflamme, Francois

    2010-12-01

    In healthcare, consumerism is not a product or program. Instead, it is an orientation to new care delivery models that encourage and enable greater patient responsibility through the intelligent use of information technology. Despite the promise of consumerism, current approaches have not fully realized the potential benefits of improved outcomes and lower cost. We recommend 4 guiding principles to ensure that next-generation innovation yields the returns that providers, patients, and other stakeholders expect: (1) keep the consumer at the center of innovation, (2) keep it simple, (3) link products and services to a broader "ecosystem" of care, and (4) encourage health in addition to treating illness. Now may be a particularly compelling time to invest in a consumerist approach.

  5. Artificial Intelligence.

    Science.gov (United States)

    Waltz, David L.

    1982-01-01

    Describes kinds of results achieved by computer programs in artificial intelligence. Topics discussed include heuristic searches, artificial intelligence/psychology, planning program, backward chaining, learning (focusing on Winograd's blocks to explore learning strategies), concept learning, constraint propagation, language understanding…

  6. Not Deep Learning but Autonomous Learning of Open Innovation for Sustainable Artificial Intelligence

    Directory of Open Access Journals (Sweden)

    JinHyo Joseph Yun

    2016-08-01

    Full Text Available What do we need for sustainable artificial intelligence that is not harmful but beneficial human life? This paper builds up the interaction model between direct and autonomous learning from the human’s cognitive learning process and firms’ open innovation process. It conceptually establishes a direct and autonomous learning interaction model. The key factor of this model is that the process to respond to entries from external environments through interactions between autonomous learning and direct learning as well as to rearrange internal knowledge is incessant. When autonomous learning happens, the units of knowledge determinations that arise from indirect learning are separated. They induce not only broad autonomous learning made through the horizontal combinations that surpass the combinations that occurred in direct learning but also in-depth autonomous learning made through vertical combinations that appear so that new knowledge is added. The core of the interaction model between direct and autonomous learning is the variability of the boundary between proven knowledge and hypothetical knowledge, limitations in knowledge accumulation, as well as complementarity and conflict between direct and autonomous learning. Therefore, these should be considered when introducing the interaction model between direct and autonomous learning into navigations, cleaning robots, search engines, etc. In addition, we should consider the relationship between direct learning and autonomous learning when building up open innovation strategies and policies.

  7. PDA Mobile Learning Using Indoor Intelligent Wireless Whiteboard

    Directory of Open Access Journals (Sweden)

    Othman O KHALIFA

    2007-04-01

    Full Text Available The main issue concerned in education system is whether the typical way of teaching martial such as whiteboard in normal classroom is capable of deliver must of the new course martial (curriculum with best result of learning. Mobile technology have a high potential for improved learning (T. Liu, 2003(J. Massy ,2002. Mobile devices can enhance learning and it could be through Mobile Learning (M-Learning which is an approach to electronic learning (E-Learning (A. Kukulska-Hulme, 2005. This paper is focusing on the main problem exists in the classroom which is how a student can copy all the material written on the white board without losing the concentration of the lecturer's speech. Also the paper is explores what factors and design requirements are needed for M-Learning environment and suggests how M-Learning application can be designed. The following section definition of the mobile network is given. In the section three, reviews the literature review and previous work for M-Learning applications. Section four designs and analysis of the M-Learning environment is described. The final section provide conclusion and future work

  8. The Role of Information and Communication Technology in Competitive Intelligence

    NARCIS (Netherlands)

    Vriens, D.J.

    2004-01-01

    This chapter discusses the role of ICT for competitive intelligence activities. To this end, it starts with an introduction to competitive intelligence. Next, it discusses possible uses of ICT for intelligence activities. In this discussion attention is paid to the use of the Internet, to general pu

  9. 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...

  10. Organisational Learning with Technology

    DEFF Research Database (Denmark)

    Hundebøl, Jesper

    2008-01-01

    Based on multi-site ethno-methodological field studies in the Danish construction industry this paper examines the relational effects of 3D object-based modelling. In describing how that technology is being introduced, shaped and enacted, how it associates with, mediates and translates existing......). Among others, the program demands that architects and consulting engineers embrace a new breed of computer-based software programs allowing for 3D object-based modelling. In this paper I will describe the program and the network of (non-)human actors engaged in the promotion hereof with a view...... to examine various ways in which 3D object-based modelling relates and associates itself with the wider socio-material actor-network. This is done in two interrelated sections that serve as a backdrop against which to understand on the one hand, how the program is sought stabilized, at least temporarily...

  11. WEB 2.0 LEARNING PLATFORM:Harnessing Collective Intelligence

    Directory of Open Access Journals (Sweden)

    P. Clint ROGERS

    2007-07-01

    Full Text Available ABSTRACT The rate of technological diffusion and the pace at which technology is altering how and with whom we connect is astounding. Although not at the same pace, theoretical views of learning and teaching are also changing. Whereas much of the initial e-learning simply patterned old models of teaching and learning, the new technological possibilities and realities encourage us to think differently about what is meant by education (Brown, 2000. In this paper, we provide a stepping stone in some of the theoretical background, history, and possibilities for learning systems and platforms in the Web 2.0 era. We share a case study that reflects the experiences of a small university that is moving towards E-Learning 2.0 while simultaneously increasing interoperability by using e-learning standards reflected in the widely-used reference model called SCORM (Sharable Content Object Reference Model. We also highlight the strengths and weaknesses of SCORM in allowing for learning management systems to have a Web 2.0 character.

  12. The Language Technologies for Lifelong Learning Project

    NARCIS (Netherlands)

    Berlanga, Adriana

    2009-01-01

    Berlanga, A. J. (2009). The Language Technologies for Lifelong Learning Project. Poster presented at the 9th IEEE International Conference on Advanced Learning Technologies (ICALT 2009). July, 15-17, 2009, Riga, Latvia.

  13. Multiple intelligences and underachievement: lessons from individuals with learning disabilities.

    Science.gov (United States)

    Hearne, D; Stone, S

    1995-01-01

    The field of learning disabilities, like education in the main, is undergoing calls for reform and restructuring, an upheaval brought on in great part by the forces of opposing paradigms--reductionism and constructivism. In reexamining our past, we must begin to address the failures of traditional deficit models and their abysmally low "cure" rate. Several new theories have arisen that challenge traditional practices in both general and special education classrooms. Particularly influential has been the work of Howard Gardner, whose theory of multiple intelligences calls for a restructuring of our schools to accommodate modes of learning and inquiry with something other than deficit approaches. At least some current research in the field of learning disabilities has begun to focus on creativity and nontraditional strengths and talents that have not been well understood or highly valued by the schools. In this article, we briefly summarize the findings in our search for the talents of students labeled learning disabled, evidence of their abilities, implications of these for the schools, and a beginning set of practical recommendations.

  14. Book Review: English Language Learning and Technology

    OpenAIRE

    Shojaei, Abouzar; Motallebzadeh, Khalil

    2016-01-01

    This book is a very helpful book which gives us information and knowledge of using technology in language learning and teaching. It contains detailed consideration to articulatory and auditory Language learning as well as to the practicalities of English language learning. The book discusses the relationship between English language learning and technology

  15. Applying Virtual Technology in Second Language Learning

    Institute of Scientific and Technical Information of China (English)

    柴能

    2015-01-01

    With the introduction of virtual technology,the traditional method of language teaching and learning has been revolutionized.This paper introduced the concrete examples of using virtual technology in second language learning.The author concludes that virtual technology contributes greatly to language learning.

  16. Intelligent control and automation technology for nuclear application

    Energy Technology Data Exchange (ETDEWEB)

    Kim, Jae Hee; Eom, Heung Sub; Kim, Ko Ryu; Lee, Jae Cheol; Choi, You Rak; Lee, Soo Cheol [Korea Atomic Energy Research Institute, Taejon (Korea, Republic of)

    1996-06-01

    Using recent technologies on a mobile robot and computer science, we developed an automatic inspection system for weld lines of the reactor pressure vessel. The ultrasonic inspection of the reactor pressure vessel is currently performed by commercialized robot manipulators. Since, however, the conventional fixed type robot manipulator is very huge, heavy and expensive, it needs long inspection time and is hard to handle and maintain. In order to resolve these problems, we developed a new inspection automation system using a small mobile robot crawling on the vertical wall. According to the conceptual design studied in the first year, we developed the inspection automation system including an underwater inspection robot, a laser position control subsystem and a main control subsystem. And we carried out underwater experiments on the reactor vessel mockup. After finishing this project successfully, we have a plan to commercialize our inspection system. Using this system, we can expect much reduction of the inspection time, performance enhancement, automatic management of inspection history, etc. In the economic point of view, we can also expect import substitution more than 5 million dollars. The established essential technologies for intelligent control and automation are expected to be synthetically applied to the automation of similar systems in nuclear power plants. 4 tabs., 37 figs., 6 refs. (Author).

  17. Intelligence moderates reinforcement learning: a mini-review of the neural evidence.

    Science.gov (United States)

    Chen, Chong

    2015-06-01

    Our understanding of the neural basis of reinforcement learning and intelligence, two key factors contributing to human strivings, has progressed significantly recently. However, the overlap of these two lines of research, namely, how intelligence affects neural responses during reinforcement learning, remains uninvestigated. A mini-review of three existing studies suggests that higher IQ (especially fluid IQ) may enhance the neural signal of positive prediction error in dorsolateral prefrontal cortex, dorsal anterior cingulate cortex, and striatum, several brain substrates of reinforcement learning or intelligence.

  18. Proceedings of the 2012 International Conference on Information Technology and Software Engineering : Information Technology & Computing Intelligence

    CERN Document Server

    Cai, Guoqiang; Liu, Weibin; Xing, Weiwei

    2013-01-01

    Proceedings of the 2012 International Conference on Information Technology and Software Engineering presents selected articles from this major event, which was held in Beijing, December 8-10, 2012. This book presents the latest research trends, methods and experimental results in the fields of information technology and software engineering, covering various state-of-the-art research theories and approaches. The subjects range from intelligent computing to information processing, software engineering, Web, unified modeling language (UML), multimedia, communication technologies, system identification, graphics and visualizing, etc. The proceedings provide a major interdisciplinary forum for researchers and engineers to present the most innovative studies and advances, which can serve as an excellent reference work for researchers and graduate students working on information technology and software engineering. Prof. Wei Lu, Dr. Guoqiang Cai, Prof. Weibin Liu and Dr. Weiwei Xing all work at Beijing Jiaotong Uni...

  19. Contributions Emotional Intelligence on Cognitive Learning Result of Biology of Senior High School Students in Medan, Indonesia

    Science.gov (United States)

    Pratama, Anggi Tias; Corebima, Aloysius Duran

    2016-01-01

    Emotional intelligence is one of the factors affecting the success of students' learning results. Students having high emotional intelligence will be able to overcome the problems faced in school and in society. This research aims at investigating the correlation between emotional intelligence (EQ) and students' cognitive learning results of…

  20. Technology Support for Discussion Based Learning: From Computer Supported Collaborative Learning to the Future of Massive Open Online Courses

    Science.gov (United States)

    Rosé, Carolyn Penstein; Ferschke, Oliver

    2016-01-01

    This article offers a vision for technology supported collaborative and discussion-based learning at scale. It begins with historical work in the area of tutorial dialogue systems. It traces the history of that area of the field of Artificial Intelligence in Education as it has made an impact on the field of Computer-Supported Collaborative…

  1. Technology Support for Discussion Based Learning: From Computer Supported Collaborative Learning to the Future of Massive Open Online Courses

    Science.gov (United States)

    Rosé, Carolyn Penstein; Ferschke, Oliver

    2016-01-01

    This article offers a vision for technology supported collaborative and discussion-based learning at scale. It begins with historical work in the area of tutorial dialogue systems. It traces the history of that area of the field of Artificial Intelligence in Education as it has made an impact on the field of Computer-Supported Collaborative…

  2. Relationships between a Social-Emotional Learning Program and Emotional Intelligence in Middle School Students

    Science.gov (United States)

    Brown, Katherine Marie

    2013-01-01

    This study examined the relationships between a social-emotional learning program and the 5 dimensions of emotional intelligence and whether the relationships were moderated by gender. The problem addressed in the study was the lack of research focused on the development of emotional intelligence at the middle school level. The participants…

  3. Understanding the Impact of a Half Day Learning Intervention on Emotional Intelligence Competencies: An Exploratory Study

    Science.gov (United States)

    Carrick, Laurie Ann

    2010-01-01

    Empirical evidence has identified emotional intelligence competencies as part of the transformational leadership style. The development of emotional intelligence competencies has been reviewed in the context of a leadership development learning intervention encompassing the model of assessment, challenge and support. The exploratory study…

  4. Multiple Intelligence Theory and Foreign Language Learning: A Brain-Based Perspective

    Science.gov (United States)

    Arnold, Jane; Fonseca, Mª Carmen

    2004-01-01

    Gardner's Multiple Intelligences theory is presented as a cognitive perspective on intelligence which has profound implications for education in general. More specifically, it has led to the application of eight of these frames to language teaching and learning. In this chapter, we will argue in favour of the application of MIT to the EFL…

  5. The Relationship between Emotional Intelligence and Middle School Students with Learning Disabilities

    Science.gov (United States)

    Petersen, Vanessa C.

    2010-01-01

    The purpose of the present study was to investigate the relationship between emotional intelligence and academic success in middle school students with learning disabilities. Emotional Intelligence (EI) was measured using the BarOn Emotional Quotient Inventory: Youth Version (BarOn EQ-i: YV). The results of the BarOn EQ-i: YV was then compared to…

  6. Games and Machine Learning: A Powerful Combination in an Artificial Intelligence Course

    Science.gov (United States)

    Wallace, Scott A.; McCartney, Robert; Russell, Ingrid

    2010-01-01

    Project MLeXAI [Machine Learning eXperiences in Artificial Intelligence (AI)] seeks to build a set of reusable course curriculum and hands on laboratory projects for the artificial intelligence classroom. In this article, we describe two game-based projects from the second phase of project MLeXAI: Robot Defense--a simple real-time strategy game…

  7. The Relationship between Principal Emotional Intelligence and the School as a Learning Organization

    Science.gov (United States)

    DeRoberto, Thomas

    2011-01-01

    The purpose of this study was to determine the nature of the relationship between the emotional intelligence of the school principal and the school as a learning organization. These constructs originated in the business world and have recently been examined within the context of education. Studies on principal emotional intelligence have shown the…

  8. Evaluation of Intelligent Grouping Based on Learners' Collaboration Competence Level in Online Collaborative Learning Environment

    Science.gov (United States)

    Muuro, Maina Elizaphan; Oboko, Robert; Wagacha, Waiganjo Peter

    2016-01-01

    In this paper we explore the impact of an intelligent grouping algorithm based on learners' collaborative competency when compared with (a) instructor based Grade Point Average (GPA) method level and (b) random method, on group outcomes and group collaboration problems in an online collaborative learning environment. An intelligent grouping…

  9. Relationships between a Social-Emotional Learning Program and Emotional Intelligence in Middle School Students

    Science.gov (United States)

    Brown, Katherine Marie

    2013-01-01

    This study examined the relationships between a social-emotional learning program and the 5 dimensions of emotional intelligence and whether the relationships were moderated by gender. The problem addressed in the study was the lack of research focused on the development of emotional intelligence at the middle school level. The participants…

  10. Validating the Learning Disability Screening Questionnaire against the Weschler Adult Intelligence Scale, Fourth Edition

    Science.gov (United States)

    McKenzie, Karen; Sharples, Phil; Murray, Aja L.

    2015-01-01

    The Learning Disability Screening Questionnaire (LDSQ), a brief screening tool for intellectual disability, was originally validated against the Weschler Adult Intelligence Scale, Third Edition (WAIS-III), which was superseded by the Weschler Adult Intelligence Scale, Fourth Edition (WAIS-IV) in the United Kingdom in 2010. This study examines the…

  11. Validating the Learning Disability Screening Questionnaire against the Weschler Adult Intelligence Scale, Fourth Edition

    Science.gov (United States)

    McKenzie, Karen; Sharples, Phil; Murray, Aja L.

    2015-01-01

    The Learning Disability Screening Questionnaire (LDSQ), a brief screening tool for intellectual disability, was originally validated against the Weschler Adult Intelligence Scale, Third Edition (WAIS-III), which was superseded by the Weschler Adult Intelligence Scale, Fourth Edition (WAIS-IV) in the United Kingdom in 2010. This study examines the…

  12. Prerequisites for Emotional Intelligence Formation in Second Language Learning and Career Choice

    Science.gov (United States)

    Baklashova, Tatiana A.; Galishnikova, Elena M.; Khafizova, Liliya A.

    2016-01-01

    The relevance of the topic is due to the enhancing role of emotional intelligence in second language learning. The article aims to substantiate that emotional intelligence (EI) strengthens training quality of future professionals, gives it an emotional color, and thereby increases a variety of intellectual skills. The leading methodical approaches…

  13. Games and Machine Learning: A Powerful Combination in an Artificial Intelligence Course

    Science.gov (United States)

    Wallace, Scott A.; McCartney, Robert; Russell, Ingrid

    2010-01-01

    Project MLeXAI [Machine Learning eXperiences in Artificial Intelligence (AI)] seeks to build a set of reusable course curriculum and hands on laboratory projects for the artificial intelligence classroom. In this article, we describe two game-based projects from the second phase of project MLeXAI: Robot Defense--a simple real-time strategy game…

  14. Emotional Intelligence and Self-Directed Learning Readiness among College Students Participating in a Leadership Development Program

    Science.gov (United States)

    Radnitzer, Karl David

    2010-01-01

    The purpose of this study was to investigate possible relationships between self-directed learning readiness and emotional intelligence in a leadership development program and if self-directed learning leads to greater self-directed learning capabilities. Prior research has examined self-directed learning and emotional intelligence but never have…

  15. 1st International Scientific Conference on Intelligent Information Technologies for Industry

    CERN Document Server

    Kovalev, Sergey; Tarassov, Valery; Snášel, Václav

    2016-01-01

    This volume of Advances in Intelligent Systems and Computing contains papers presented in the main track of IITI 2016, the First International Conference on Intelligent Information Technologies for Industry held in May 16-21 in Sochi, Russia. The conference was jointly co-organized by Rostov State Transport University (Russia) and VŠB – Technical University of Ostrava (Czech Republic) with the participation of Russian Association for Artificial Intelligence (RAAI) and Russian Association for Fuzzy Systems and Soft Computing (RAFSSC). The volume is devoted to practical models and industrial applications related to intelligent information systems. The conference has been a meeting point for researchers and practitioners to enable the implementation of advanced information technologies into various industries. Nevertheless, some theoretical talks concerning the-state-of-the-art in intelligent systems and soft computing are included in the proceedings as well.

  16. Experiential Learning Using QlikView Business Intelligence Software

    Science.gov (United States)

    Podeschi, R. J.

    2015-01-01

    This paper reports on the use of QlikView business intelligence software for use in a Business Intelligence (BI) course within an undergraduate information systems program. The course provides students with concepts related to data warehousing, data mining, visualizations, and software tools to provide business intelligence solutions for decision…

  17. Business intelligence and mobile technology research an information systems engineering perspective

    CERN Document Server

    Laouar, Mohamed Ridda

    2014-01-01

    All business organizations strive for increasing their growth by seizing new opportunities, reducing enterprise costs, attracting new customers and retaining old customers. In doing so, business intelligence and analytics allow business organizations to make better plans, informed decisions, and monitor their progress towards planned goals and objectives. The more disruptive power of IT technologies comes synergistically. Individual IT technologies do not work in isolation. Business intellige...

  18. Engineering Life into Technology: the Application of Complexity Theory to a Potential Phase Transition in Intelligence

    Directory of Open Access Journals (Sweden)

    Melanie Swan

    2010-02-01

    Full Text Available Information optimization is a centerpiece phenomenon in the universe. It develops from simplicity, then continuously breaks symmetry and cycles through instability to progress to increasingly dense nodes of complexity and diversity. Intelligence has arisen as the information optimization node with the greatest complexity. A contemporary imbalance is presented in that exponentially growing technology could be poised as a potential sole successor to human intelligence. A complex dynamical system is emerging in response, the engineering of life into technology. Numerous network elements are developing which could self-organize into the next node of symmetry, a phase transition in intelligence.

  19. Educational Technologies: Impact on Learning and Frustration

    Science.gov (United States)

    Hove, M. Christina; Corcoran, Kevin J.

    2008-01-01

    Educators are increasingly using educational technologies at the postsecondary level although little research has investigated the effects of such technologies on learning. Our research explored the effects of traditional lecture, slide-show-supplemented lecture, and virtual learning environment (VLE) on learning and frustration among college…

  20. Technology and Innovation in Adult Learning

    Science.gov (United States)

    King, Kathy P.

    2017-01-01

    "Technology and Innovation in Adult Learning" introduces educators and students to the intersection of adult learning and the growing technological revolution. Written by an internationally recognized expert in the field, this book explores the theory, research, and practice driving innovation in both adult learning and learning…

  1. Developing an Intelligent Diagnosis and Assessment E-Learning Tool for Introductory Programming

    Science.gov (United States)

    Huang, Chenn-Jung; Chen, Chun-Hua; Luo, Yun-Cheng; Chen, Hong-Xin; Chuang, Yi-Ta

    2008-01-01

    Recently, a lot of open source e-learning platforms have been offered for free in the Internet. We thus incorporate the intelligent diagnosis and assessment tool into an open software e-learning platform developed for programming language courses, wherein the proposed learning diagnosis assessment tools based on text mining and machine learning…

  2. Fluid Intelligence and Discriminative Operant Learning of Reinforcement Contingencies in a Fixed Ratio 3 Schedule

    Science.gov (United States)

    Lozano, J. H.; Hernandez, J. M.; Rubio, V. J.; Santacreu, J.

    2011-01-01

    Although intelligence has traditionally been identified as "the ability to learn" (Peterson, 1925), this relationship has been questioned in simple operant learning tasks (Spielberger, 1962). Nevertheless, recent pieces of research have demonstrated a strong and significant correlation between associative learning measures and intelligence…

  3. Generalizing Automated Detection of the Robustness of Student Learning in an Intelligent Tutor for Genetics

    Science.gov (United States)

    Baker, Ryan S. J. d.; Corbett, Albert T.; Gowda, Sujith M.

    2013-01-01

    Recently, there has been growing emphasis on supporting robust learning within intelligent tutoring systems, assessed by measures such as transfer to related skills, preparation for future learning, and longer term retention. It has been shown that different pedagogical strategies promote robust learning to different degrees. However, the student…

  4. Interindividual Differences in Learning Performance: The Effects of Age, Intelligence, and Strategic Task Approach

    Science.gov (United States)

    Kliegel, Matthias; Altgassen, Mareike

    2006-01-01

    The present study investigated fluid and crystallized intelligence as well as strategic task approaches as potential sources of age-related differences in adult learning performance. Therefore, 45 young and 45 old adults were asked to learn pictured objects. Overall, young participants outperformed old participants in this learning test. However,…

  5. Effect of promoting self-esteem by participatory learning process on emotional intelligence among early adolescents.

    Science.gov (United States)

    Munsawaengsub, Chokchai; Yimklib, Somkid; Nanthamongkolchai, Sutham; Apinanthavech, Suporn

    2009-12-01

    To study the effect of promoting self-esteem by participatory learning program on emotional intelligence among early adolescents. The quasi-experimental study was conducted in grade 9 students from two schools in Bangbuathong district, Nonthaburi province. Each experimental and comparative group consisted of 34 students with the lowest score of emotional intelligence. The instruments were questionnaires, Program to Develop Emotional Intelligence and Handbook of Emotional Intelligence Development. The experimental group attended 8 participatory learning activities in 4 weeks to Develop Emotional Intelligence while the comparative group received the handbook for self study. Assessment the effectiveness of program was done by pre-test and post-test immediately and 4 weeks apart concerning the emotional intelligence. Implementation and evaluation was done during May 24-August 12, 2005. Data were analyzed by frequency, percentage, mean, standard deviation, Chi-square, independent sample t-test and paired sample t-test. Before program implementation, both groups had no statistical difference in mean score of emotional intelligence. After intervention, the experimental group had higher mean score of emotional intelligence both immediately and 4 weeks later with statistical significant (p = 0.001 and emotional intelligence in early-adolescent. This program could be modified and implemented for early adolescent in the community.

  6. Early Learning and Educational Technology Policy Brief

    Science.gov (United States)

    Lee, Joan

    2016-01-01

    Recognizing the growth of technology use in early learning settings, the U.S. Department of Education and U.S. Department of Health and Human Services collaborated in the development of the "Early Learning and Educational Technology Policy Brief" to promote developmentally appropriate use of technology in homes and early learning…

  7. 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

  8. Educational Technology and the Learning Process

    Science.gov (United States)

    Gagne, Robert M.

    1974-01-01

    Suggests how the "things of learning" can be employed to promote learning by first examining learning as it occurs in education, focusing on categories of learning outcomes; and then deriving some guidelines about the use of hardware technology as an aid to instruction. (JM)

  9. Learning in a technology enhanced world

    NARCIS (Netherlands)

    Specht, Marcus

    2010-01-01

    Specht, M. (2009). Learning in a technology enhanced world. Invited talk given at the World Conference on E-learning in Corporate, Government, Healthcare & Higher Education. October, 27, 2009, Vancouver, Canada.

  10. Intelligent Facial Recognition Systems: Technology advancements for security applications

    Energy Technology Data Exchange (ETDEWEB)

    Beer, C.L.

    1993-07-01

    Insider problems such as theft and sabotage can occur within the security and surveillance realm of operations when unauthorized people obtain access to sensitive areas. A possible solution to these problems is a means to identify individuals (not just credentials or badges) in a given sensitive area and provide full time personnel accountability. One approach desirable at Department of Energy facilities for access control and/or personnel identification is an Intelligent Facial Recognition System (IFRS) that is non-invasive to personnel. Automatic facial recognition does not require the active participation of the enrolled subjects, unlike most other biological measurement (biometric) systems (e.g., fingerprint, hand geometry, or eye retinal scan systems). It is this feature that makes an IFRS attractive for applications other than access control such as emergency evacuation verification, screening, and personnel tracking. This paper discusses current technology that shows promising results for DOE and other security applications. A survey of research and development in facial recognition identified several companies and universities that were interested and/or involved in the area. A few advanced prototype systems were also identified. Sandia National Laboratories is currently evaluating facial recognition systems that are in the advanced prototype stage. The initial application for the evaluation is access control in a controlled environment with a constant background and with cooperative subjects. Further evaluations will be conducted in a less controlled environment, which may include a cluttered background and subjects that are not looking towards the camera. The outcome of the evaluations will help identify areas of facial recognition systems that need further development and will help to determine the effectiveness of the current systems for security applications.

  11. Effective e-learning for health professional and medical students: the experience with SIAS-Intelligent Tutoring System.

    Science.gov (United States)

    Muñoz, Diana C; Ortiz, Alexandra; González, Carolina; López, Diego M; Blobel, Bernd

    2010-01-01

    Current e-learning systems are still inadequate to support the level of interaction, personalization and engagement demanded by clinicians, care givers, and the patient themselves. For effective e-learning to be delivered in the health context, collaboration between pedagogy and technology is required. Furthermore, e-learning systems should be flexible enough to be adapted to the students' needs, evaluated regularly, easy to use and maintain and provide students' feedback, guidelines and supporting material in different formats. This paper presents the implementation of an Intelligent Tutoring System (SIAS-ITS), and its evaluation compared to a traditional virtual learning platform (Moodle). The evaluation was carried out as a case study, in which the participants were separated in two groups, each group attending a virtual course on the WHO Integrated Management of Childhood Illness (IMCI) strategy supported by one of the two e-learning platforms. The evaluation demonstrated that the participants' knowledge level, pedagogical strategies used, learning efficiency and systems' usability were improved using the Intelligent Tutoring System.

  12. Learning patterns of life from intelligence analyst chat

    Science.gov (United States)

    Schneider, Michael K.; Alford, Mark; Babko-Malaya, Olga; Blasch, Erik; Chen, Lingji; Crespi, Valentino; HandUber, Jason; Haney, Phil; Nagy, Jim; Richman, Mike; Von Pless, Gregory; Zhu, Howie; Rhodes, Bradley J.

    2016-05-01

    Our Multi-INT Data Association Tool (MIDAT) learns patterns of life (POL) of a geographical area from video analyst observations called out in textual reporting. Typical approaches to learning POLs from video make use of computer vision algorithms to extract locations in space and time of various activities. Such approaches are subject to the detection and tracking performance of the video processing algorithms. Numerous examples of human analysts monitoring live video streams annotating or "calling out" relevant entities and activities exist, such as security analysis, crime-scene forensics, news reports, and sports commentary. This user description typically corresponds with textual capture, such as chat. Although the purpose of these text products is primarily to describe events as they happen, organizations typically archive the reports for extended periods. This archive provides a basis to build POLs. Such POLs are useful for diagnosis to assess activities in an area based on historical context, and for consumers of products, who gain an understanding of historical patterns. MIDAT combines natural language processing, multi-hypothesis tracking, and Multi-INT Activity Pattern Learning and Exploitation (MAPLE) technologies in an end-to-end lab prototype that processes textual products produced by video analysts, infers POLs, and highlights anomalies relative to those POLs with links to "tracks" of related activities performed by the same entity. MIDAT technologies perform well, achieving, for example, a 90% F1-value on extracting activities from the textual reports.

  13. Research in Mobile Intelligence Mobile Computing and Computational Intelligence

    CERN Document Server

    Yang, Laurence T

    2010-01-01

    * Focuses on learning patterns and knowledge from data generated by mobile users and mobile technology. * Covers research and application issues in applying computational intelligence applications to mobile computing. * Delivers benefits to a wide range of applications. * Introduces the state of the art of computational intelligence to the mobile paradigm

  14. Research on the Substation Intelligent Protection System for Operations Personnel Based on the UWB Positioning Technology

    Directory of Open Access Journals (Sweden)

    Yu Zhen

    2015-01-01

    Full Text Available In order to improve the safety of the operations personnel, the authors designed the substation intelligent operations protection system, studied the positioning technology, three-dimensional geographic information technology and other key technologies, proposed the technical solutions of the positioning base station, the positioning label and the power supply system, and then derived the technical architecture of the substation intelligent operations protection system, which consists of the infrastructure layer, the support layer, the business layer and the presentation layer. These four layers are used to achieve the task management, real-time monitoring, warning sign, area delineation, track playback and other functions.

  15. Designing an Intelligent Mobile Learning Tool for Grammar Learning (i-MoL)

    OpenAIRE

    Munir Shuib; Amelia Abdullah; Siti Norbaya Azizan; Thenmolli Gunasegaran

    2015-01-01

    English is the most important second language in most non-English speaking countries, including Malaysia. A good English proficiency comes from good grasp of grammar. To conquer the problems of low English proficiency among Malaysians, it is important to identify the key motivators that could facilitate the process of grammar learning. In this digital age, technology can play a very important role and mobile technology could be one of it. Thus, this study aims at designing a mobile learning ...

  16. Technologies for conceptual modelling and intelligent query formulation

    CSIR Research Space (South Africa)

    Alberts, R

    2008-11-01

    Full Text Available modelling and intelligent query formulation R ALBERTS1, K BRITZ1, A GERBER1, K HALLAND1,2, T MEYER1, L PRETORIUS1,2 (1) Knowledge Systems Group, Meraka Institute, CSIR, Pretoria, Gauteng, South Africa (2) School of Computing, University of South... this problem still more pressing: in this case an excess of information can be equivalent to an absence of information It is therefore necessary to use tools that organise data into intelligible and easily-accessible structures and return answers...

  17. Application of BIM Technology in Intelligent Buildings%BIM技术在智慧建筑中的应用∗

    Institute of Scientific and Technical Information of China (English)

    王玉卿; 穆华倩

    2016-01-01

    By the discussion of the intelligent city, intelligent buildings, BIM technology and BIM technology application, the key role of BIM technology in achieving intelligent buildings is analyzed, and a wide range of application of BIM technology in intelligent buildings is explored.%通过对智慧城市、智慧建筑、BIM技术和BIM应用等内容的讨论,分析探讨BIM技术在实现智慧建筑中的关键作用及其在智慧建筑中的多方面应用。

  18. 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)

  19. Intelligent Learning Algorithm Based on Virtual Learning Community%基于虚拟学习社区的智能学习算法研究

    Institute of Scientific and Technical Information of China (English)

    曾桂; 程艳

    2014-01-01

    With the development of information technology and Internet technology , virtual learning community has become an im-portant means of network communication and network learning .It has become the hot and the key research how to make use of vir-tual learning community to improve learners ’ learning efficiency .In this paper, a personalized recommendation algorithm with in-telligent algorithm is put forward , based on virtual learning community , thus the learners can be convenient , efficient, intelli-gent, reflective learning, and it provides the theory and technical support for building virtual learning community , in order to bet-ter guide for learning practice of virtual learning community .%随着信息技术和互联网技术的发展,虚拟学习社区为学习者提供一个开放的学习环境,是满足时代教育要求的强有力的平台,成为学习者网络交流、网络学习的重要手段。如何利用虚拟学习社区来提高学习者的学习效率成为当前研究的热点和重点。本文基于虚拟学习社区,提出一种智能的个性化推荐学习算法,使学习者能够方便、有效、智能、反思性学习,为构建虚拟学习社区提供理论技术支撑,以便更好地指导虚拟学习社区的学习实践。

  20. Your Verbal Zone: An Intelligent Computer-Assisted Language Learning Program in Support of Turkish Learners' Vocabulary Learning

    Science.gov (United States)

    Esit, Omer

    2011-01-01

    This study investigated the effectiveness of an intelligent computer-assisted language learning (ICALL) program on Turkish learners' vocabulary learning. Within the scope of this research, an ICALL application with a morphological analyser (Your Verbal Zone, YVZ) was developed and used in an English language preparatory class to measure its…

  1. Teachers as designers of technology enhanced learning

    NARCIS (Netherlands)

    Kali, Yael; McKenney, Susan; Sagy, Ornit

    2013-01-01

    Kali, Y., McKenney, S., & Sagy, O. (2012, 2-6 July). Teachers as designers of technology enhanced learning. Presentation at the Teachers as Designers of Technology Enhanced Learning pre-conference workshop in conjunction with the ISLS annual meeting, Sydney, Australia.

  2. Managing Investment in Teaching and Learning Technologies

    Science.gov (United States)

    Coen, Michael; Nicol, David

    2007-01-01

    Information and communications technologies are radically changing the way that teaching and learning activities are organised and delivered within higher education (HE) institutions. A wide range of technologies is being deployed in quite complex and interactive ways, including virtual learning environments (VLEs), mobile communication…

  3. Connecting Learning Spaces Using Mobile Technology

    Science.gov (United States)

    Chen, Wenli; Seow, Peter; So, Hyo-Jeong; Toh, Yancy; Looi, Chee-Kit

    2010-01-01

    The use of mobile technology can help extend children's learning spaces and enrich the learning experiences in their everyday lives where they move from one context to another, switching locations, social groups, technologies, and topics. When students have ubiquitous access to mobile devices with full connectivity, the in-situ use of the mobile…

  4. Examining the Role of Emotional Intelligence between Organizational Learning and Adaptive Performance in Indian Manufacturing Industries

    Science.gov (United States)

    Pradhan, Rabindra Kumar; Jena, Lalatendu Kesari; Singh, Sanjay Kumar

    2017-01-01

    Purpose: The purpose of this study is to examine the relationship between organisational learning and adaptive performance. Furthermore, the study investigates the moderating role of emotional intelligence in the perspective of organisational learning for addressing adaptive performance of executives employed in manufacturing organisations.…

  5. The Time Factor: Leveraging Intelligent Agents and Directed Narratives in Online Learning Environments

    Science.gov (United States)

    Jones, Greg; Warren, Scott

    2009-01-01

    Using video games, virtual simulations, and other digital spaces for learning can be a time-consuming process; aside from technical issues that may absorb class time, students take longer to achieve gains in learning in virtual environments. Greg Jones and Scott Warren describe how intelligent agents, in-game characters that respond to the context…

  6. Learning from Multiple Collaborating Intelligent Tutors: An Agent-based Approach.

    Science.gov (United States)

    Solomos, Konstantinos; Avouris, Nikolaos

    1999-01-01

    Describes an open distributed multi-agent tutoring system (MATS) and discusses issues related to learning in such open environments. Topics include modeling a one student-many teachers approach in a computer-based learning context; distributed artificial intelligence; implementation issues; collaboration; and user interaction. (Author/LRW)

  7. Analyzing User Interaction to Design an Intelligent e-Learning Environment

    Science.gov (United States)

    Sharma, Richa

    2011-01-01

    Building intelligent course designing systems adaptable to the learners' needs is one of the key goals of research in e-learning. This goal is all the more crucial as gaining knowledge in an e-learning environment depends solely on computer mediated interaction within the learner group and among the learners and instructors. The patterns generated…

  8. Affordance Analysis--Matching Learning Tasks with Learning Technologies

    Science.gov (United States)

    Bower, Matt

    2008-01-01

    This article presents a design methodology for matching learning tasks with learning technologies. First a working definition of "affordances" is provided based on the need to describe the action potentials of the technologies (utility). Categories of affordances are then proposed to provide a framework for analysis. Following this, a…

  9. Optimal investment in learning-curve technologies

    NARCIS (Netherlands)

    Della Seta, M.; Gryglewicz, S.; Kort, P.M.

    2012-01-01

    We study optimal investment in technologies characterized by the learning curve. There are two investment patterns depending on the shape of the learning curve. If the learning process is slow, firms invest relatively late and on a larger scale. If the curve is steep, firms invest earlier and on a s

  10. Teachers as designers of technology enhanced learning

    NARCIS (Netherlands)

    Kali, Yael; McKenney, Susan

    2012-01-01

    Kali, Y., & McKenney, S. (2012). Teachers as designers of technology enhanced learning. In J. van Aalst, K. Thompson, M. J. Jacobson, & P. Reimann (Eds.), The future of learning: Proceedings of the 10th international conference of the learning sciences (Vol. 2, pp. 582-583). Sydney, NSW, Australia:

  11. Teachers as designers of technology enhanced learning

    NARCIS (Netherlands)

    Kali, Yael; McKenney, Susan; Sagy, Ornit; Voogt, Joke

    2015-01-01

    Design of (technology-enhanced) learning activities and materials is one fruitful process through which teachers learn and become professionals. To facilitate this process, research is needed to understand how teachers learn through design, how this process may be supported, and how teacher involvem

  12. Teachers as designers of technology enhanced learning

    NARCIS (Netherlands)

    Kali, Yael; McKenney, Susan; Sagy, Ornit; Voogt, Joke

    2015-01-01

    Design of (technology-enhanced) learning activities and materials is one fruitful process through which teachers learn and become professionals. To facilitate this process, research is needed to understand how teachers learn through design, how this process may be supported, and how teacher involvem

  13. Learning by cases in food technology

    DEFF Research Database (Denmark)

    Løje, Hanne

    2012-01-01

    The purpose of this paper is to evaluate the use of the method learning by cases for teaching food technology students at the technical university of Denmark (DTU) and to clarify if the method can be used to improve the motivation and make the students more active and thereby be more in control...... of their own learning process, to feel more secure and less frustrated. The applying of the learning by cases method at the food technology course can make the students to learn in a significantly way, where they will be more actively involved in the learning process than previous. The work with real life...

  14. Technology transfer and technological learning through CERN's procurement activity

    CERN Document Server

    Autio, Erkko; Hameri, Ari-Pekka; CERN. Geneva

    2003-01-01

    This report analyses the technological learning and innovation benefits derived from CERN's procurement activity during the period 1997-2001. The base population of our study, the technology-intensive suppliers to CERN, consisted of 629 companies out of 6806 companies during the same period, representing 1197 MCHF in procurement. The main findings from the study can be summarized as follows: the various learning and innovation benefits (e.g., technological learning, organizational capability development, market learning) tend to occur together. Learning and innovation benefits appear to be regulated by the quality of the supplier's relationship with CERN: the greater the amount of social capital built into the relationship, the greater the learning and innovation benefits. Regardless of relationship quality, virtually all suppliers derived significant marketing reference benefits from CERN. Many corollary benefits are associated with procurement activity. As an example, as many as 38% of the respondents devel...

  15. A snapshot of research in learning technology

    Directory of Open Access Journals (Sweden)

    Rhona Sharpe

    2010-12-01

    Full Text Available The papers in this issue present a convenient snapshot of current research in learning technology, both in their coverage of the issues that concern us and the methods that are being used to investigate them. This issue shows that e-learning researchers are interested in: what technologies are available and explorations of their potential (Nie et al. explore the role of podcasting, how to design technology-mediated learning activities in ways which support specific learning outcomes (Simpson evaluates the role of ‘book raps' in supporting critical thinking, the identification of critical success factors in implementations (Cochrane's observation of three mobile learning projects and how such e-learning initiatives can be sustained within an institutional context (Gunn's examination of the challenges of embedding ‘grass roots' initiatives. Finally e-learning research is concerned with investigating the impact of emerging technologies on education – in this case Traxler's discussion of mobile, largely student-owned, devices. Together these five papers demonstrate the scope of research in learning technology and it is with this in mind that we will soon be referring to this journal by its subtitle: Research in Learning Technology.

  16. MULTIPLE INTELLIGENCE THEORY AND FOREIGN LANGUAGE LEARNING:A BRAIN-BASED PERSPECTIVE

    Directory of Open Access Journals (Sweden)

    Jane Arnold

    2004-06-01

    Full Text Available Gardner's Multiple Intelligences theory is presented as a cognitive perspective on intelligence which has profound implications for education in general. More specifically, it has led to the application of eight of these frames to language teaching and learning. In this chapter, we will argue in favour of the application of MIT to the EFL classroom, using as support some of the major insights for language teaching from brain science.

  17. How Emotional Intelligence and Language Learning Strategies Interact in an EFL Setting

    Directory of Open Access Journals (Sweden)

    Alireza Shakarami

    2015-03-01

    Full Text Available Looking at learning procedure in general and language learning in particular, variations abound in learning processes and styles.  Along this journey, some learners travel/move ahead smoothly and some others are faced with challenges of different sorts.  Among the significant factors contributing to more effective and efficient language learning output, motivation, attitude, and personality traits play major roles. However, the role played by the intelligence seems to be critical in any language learning tasks and activities. Emotional Intelligence, which is believed to harmonize cognitive and emotional dispositions, seems to be indispensable to the interrelation between the learner’s Multiple Intelligence makeup and respective preferred learning strategies.   This can be used to develop materials and teaching tasks to become more or less compatible with the learners’ varying preferences and abilities, thereby promoting their achievements. The findings of the study pertaining to the interrelation of students’ Multiple Intelligence profile and their preferred Language Learning Strategies can be used to plan and categorize language learning and teaching tasks and materials in order to modify them more in accordance with the choice of the students. The educators might use the findings to choose from among various teaching materials to satisfy the needs of their learners with different illiteracies through conducting need analysis prior to choosing any learning and teaching content materials.  Keywords: Emotional Intelligence, Language Learning Strategies, Interrelation, EFL

  18. Advanced Training Technologies and Learning Environments

    Science.gov (United States)

    Noor, Ahmed K. (Compiler); Malone, John B. (Compiler)

    1999-01-01

    This document contains the proceedings of the Workshop on Advanced Training Technologies and Learning Environments held at NASA Langley Research Center, Hampton, Virginia, March 9-10, 1999. The workshop was jointly sponsored by the University of Virginia's Center for Advanced Computational Technology and NASA. Workshop attendees were from NASA, other government agencies, industry, and universities. The objective of the workshop was to assess the status and effectiveness of different advanced training technologies and learning environments.

  19. A Multi-Agent Framework for Coordination of Intelligent Assistive Technologies

    DEFF Research Database (Denmark)

    Valente, Pedro Ricardo da Nova; Hossain, S.; Groenbaek, B.

    2010-01-01

    Intelligent care for the future is the IntelliCare project's main priority. This paper describes the design of a generic multi-agent framework for coordination of intelligent assistive technologies. The paper overviews technologies and software systems suitable for context awareness...... indoor localization system for real-time localization. We conducted an experiment in two steps: first, creating and testing interaction interfaces with and between robotic systems, and secondly, wrapping all in a multi-agent system, defining a vacuuming-cleaning ontology. With the pose data from...... and housekeeping tasks, especially for performing a multi-robot cleaning-task activity. It also describes conducted work in the design of a multi-agent platform for coordination of intelligent assistive technologies. Instead of using traditional robot odometry estimation methods, we have tested an independent...

  20. 智能教学技术的发展与展望%The Development and Prospect of Intelligent Teaching Technology

    Institute of Scientific and Technical Information of China (English)

    刘清堂; 毛刚; 杨琳; 程云

    2016-01-01

    The aim of the education technology researchers is achieving effective teaching and promoting the development of learners with technology. This paper focused on the “Intelligence Development” in teaching technology, summarized the representative teaching technology in different historical stage, analyzed the basic design idea, key technology and the representative system of teaching machines, computer-assisted instruction and intelligent tutor system. Secondly, took the construction of wisdom education environment as the core, analyzed the functions and characters of intelligence, learning analytics and affective computing. Finally, this article made a prospect of intelligent teaching technology, proposed that the integration of intellectual technology based on learning analytics, the adaptive learning which merged artificial intelligence and human intelligence, the digital teachers under intelligent teaching environment is the future development direction.%应用技术帮助教师实现高效教学,促进学习者的发展是教育技术研究者追寻的目标。该文以教学技术的“智能发展”为主线,归纳了不同历史发展阶段的代表性教学技术和应用,分析了机器教学、计算机辅助教学、智能导师系统的基本设计理念、关键技术以及代表性系统;以智慧教育环境构建为核心,详细分析了当前最具发展潜力的智能感知、学习分析、情感计算等智能技术的功能与特点。作者对智能教学技术发展进行展望,提出以学习分析为核心的智能技术整合、融合人工智能和人类智能的自适应学习、智能教学环境下的数字教师是未来发展方向。

  1. Covariation of learning and "reasoning" abilities in mice: evolutionary conservation of the operations of intelligence.

    Science.gov (United States)

    Wass, Christopher; Denman-Brice, Alexander; Rios, Chris; Light, Kenneth R; Kolata, Stefan; Smith, Andrew M; Matzel, Louis D

    2012-04-01

    Contemporary descriptions of human intelligence hold that this trait influences a broad range of cognitive abilities, including learning, attention, and reasoning. Like humans, individual genetically heterogeneous mice express a "general" cognitive trait that influences performance across a diverse array of learning and attentional tasks, and it has been suggested that this trait is qualitatively and structurally analogous to general intelligence in humans. However, the hallmark of human intelligence is the ability to use various forms of "reasoning" to support solutions to novel problems. Here, we find that genetically heterogeneous mice are capable of solving problems that are nominally indicative of inductive and deductive forms of reasoning, and that individuals' capacity for reasoning covaries with more general learning abilities. Mice were characterized for their general learning ability as determined by their aggregate performance (derived from principal component analysis) across a battery of five diverse learning tasks. These animals were then assessed on prototypic tests indicative of deductive reasoning (inferring the meaning of a novel item by exclusion, i.e., "fast mapping") and inductive reasoning (execution of an efficient search strategy in a binary decision tree). The animals exhibited systematic abilities on each of these nominal reasoning tasks that were predicted by their aggregate performance on the battery of learning tasks. These results suggest that the coregulation of reasoning and general learning performance in genetically heterogeneous mice form a core cognitive trait that is analogous to human intelligence.

  2. Handling risk attitudes for preference learning and intelligent decision support

    DEFF Research Database (Denmark)

    Franco de los Ríos, Camilo; Hougaard, Jens Leth; Nielsen, Kurt

    2015-01-01

    Intelligent decision support should allow integrating human knowledge with efficient algorithms for making interpretable and useful recommendations on real world decision problems. Attitudes and preferences articulate and come together under a decision process that should be explicitly modeled...

  3. The relationship between learning styles, emotional social intelligence, and academic success of undergraduate nursing students.

    Science.gov (United States)

    Suliman, Wafika A

    2010-06-01

    Feelings or emotions and thinking have been identified as forces that may affect one's learning styles (D. A. Kolb, 1984), emotional social intelligence, and success (R. Bar-On, 2004). This study on the relationship between academic success and the two variables of learning abilities or styles and emotional social intelligence was conducted at two colleges of nursing in Saudi Arabia. Both offer conventional and accelerated undergraduate nursing education programs. This study was designed to explore the preferred learning abilities or styles of Saudi nursing students in conventional and accelerated programs, the difference in emotional social intelligence between the two, and the relationships between academic success and learning styles and emotional social intelligence. A convenience sample was recruited, consisting of a total of 98 students, 50 and 48 of whom were enrolled, respectively, in conventional and accelerated programs. Self-administered instruments including the Kolb learning style inventory and the Bar-On emotional quotient inventory (EQ-i) were used to collect data, which were analyzed quantitatively. Both groups were found to favor a diverger style of learning, with total EQ-i scores showing no statistical difference between the two (t = 1.251, p =.214). "Self-regard" and "problem solving" earned the highest EQ-i content subscale scores for both groups. Pearson's correlation coefficient showed no significant relationship between learning abilities or styles and emotional social intelligence and academic success. The findings suggest that either no actual relationship exists or that emotional social intelligence may be confounded with factors such as professional and cultural values.

  4. Learning Competitive Intelligence from a Bunch of Screwballs

    Energy Technology Data Exchange (ETDEWEB)

    Troy Hiltbrand

    2010-12-01

    Idaho National Laboratory is the Department of Energy’s (DOE) lead lab for nuclear energy research and is dedicated to supporting the advancement of missions in nuclear energy research, energy and environment, and national security. The laboratory is operated by Battelle Energy Alliance (BEA) and participates both independently and jointly with other labs in the support of work for the DOE and other government organizations. The Information Management department is a key support organization whose purpose is to enable the three key areas supporting the Laboratory mission, Nuclear Energy, National and Homeland Security, and Energy and Environment, are successful. The challenge that we face is having relevant information about what these key areas of the Laboratory are working on and how we can best support them in achieving overall mission success. In addition, one of the major challenges that they face comes with knowing their customers and their customer’s needs so that they can successfully execute on their mission. Technology Application Organizations today are dependent on understanding their customers and competitors so that they can respond accordingly, but this can be a difficult and vexing challenge. Customers do not always reveal all of their needs and competitors rarely come out and reveal what they are doing, but this does not mean that hints about their plans are not abundant in information that is readily available. The challenge has always been how to keep track of all that is happening and converting that into useful information. Taking the lead from the “Screwball Division” from World War II, we have the tools available to automate this process and start to mine the Internet to get clues of what our customers and competitors are actively working on. By looking at what is being said and relating that to what else is being said, we can build competitive intelligence and act upon this to further our organizational objectives.

  5. The Potential Transformative Impact of Web 2.0 Technology on the Intelligence Community

    Science.gov (United States)

    2008-12-01

    Web 2.0 technologies can transform and improve interagency collaboration in the Intelligence Community in many of the same ways that have marked...an impact in their ability to connect, share information, conduct research and analysis utilizing a suite of web 2.0 technology, including...responsibility to provide culture, a need for increased promotion of these tools and a need for training on web 2.0 technology.

  6. Learning in Technology: Reconceptualizing Immersive Environments

    Science.gov (United States)

    Schrader, P. G.

    2008-01-01

    Traditional models of technology integration can be classified into three general categories or perspectives: (a) learning about, (b) from, or (c) with technology. However, the increase in networking technologies has given rise to virtual communities, cultures, and worlds. This article proposes an additional perspective that acknowledges emerging…

  7. Strategic latency and warning. Private sector perspectives on current intelligence challenges in science and technology

    Energy Technology Data Exchange (ETDEWEB)

    Davis, Zachary [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States); Gac, Frank [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States); Nacht, Michael [Univ. of California, Berkeley, CA (United States)

    2016-01-08

    Lawrence Livermore National Laboratory and National Intelligence University convened a group of business experts to examine parallels between S&T competition in the marketplace and science and technology intelligence (S&TI). The experts identified the centrality of people — individuals and connected groups — to the successful development and application of latent S&T capabilities. People may indeed be more important to recognizing S&T potential than deep knowledge of any particular technology. This report explores the significance of this key insight for S&TI.

  8. The Application Research of Modern Intelligent Cold Chain Distribution System Based on Internet of Things Technology

    Science.gov (United States)

    Fan, Dehui; Gao, Shan

    This paper implemented an intelligent cold chain distribution system based on the technology of Internet of things, and took the protoplasmic beer logistics transport system as example. It realized the remote real-time monitoring material status, recorded the distribution information, dynamically adjusted the distribution tasks and other functions. At the same time, the system combined the Internet of things technology with weighted filtering algorithm, realized the real-time query of condition curve, emergency alarming, distribution data retrieval, intelligent distribution task arrangement, etc. According to the actual test, it can realize the optimization of inventory structure, and improve the efficiency of cold chain distribution.

  9. Sharing adverse drug event data using business intelligence technology.

    Science.gov (United States)

    Horvath, Monica M; Cozart, Heidi; Ahmad, Asif; Langman, Matthew K; Ferranti, Jeffrey

    2009-03-01

    Duke University Health System uses computerized adverse drug event surveillance as an integral part of medication safety at 2 community hospitals and an academic medical center. This information must be swiftly communicated to organizational patient safety stakeholders to find opportunities to improve patient care; however, this process is encumbered by highly manual methods of preparing the data. Following the examples of other industries, we deployed a business intelligence tool to provide dynamic safety reports on adverse drug events. Once data were migrated into the health system data warehouse, we developed census-adjusted reports with user-driven prompts. Drill down functionality enables navigation from aggregate trends to event details by clicking report graphics. Reports can be accessed by patient safety leadership either through an existing safety reporting portal or the health system performance improvement Web site. Elaborate prompt screens allow many varieties of reports to be created quickly by patient safety personnel without consultation with the research analyst. The reduction in research analyst workload because of business intelligence implementation made this individual available to additional patient safety projects thereby leveraging their talents more effectively. Dedicated liaisons are essential to ensure clear communication between clinical and technical staff throughout the development life cycle. Design and development of the business intelligence model for adverse drug event data must reflect the eccentricities of the operational system, especially as new areas of emphasis evolve. Future usability studies examining the data presentation and access model are needed.

  10. Technology and informal education: what is taught, what is learned.

    Science.gov (United States)

    Greenfield, Patricia M

    2009-01-02

    The informal learning environments of television, video games, and the Internet are producing learners with a new profile of cognitive skills. This profile features widespread and sophisticated development of visual-spatial skills, such as iconic representation and spatial visualization. A pressing social problem is the prevalence of violent video games, leading to desensitization, aggressive behavior, and gender inequity in opportunities to develop visual-spatial skills. Formal education must adapt to these changes, taking advantage of new strengths in visual-spatial intelligence and compensating for new weaknesses in higher-order cognitive processes: abstract vocabulary, mindfulness, reflection, inductive problem solving, critical thinking, and imagination. These develop through the use of an older technology, reading, which, along with audio media such as radio, also stimulates imagination. Informal education therefore requires a balanced media diet using each technology's specific strengths in order to develop a complete profile of cognitive skills.

  11. Business Intelligence & Knowledge Management - Technological Support for Strategic Management in the Knowledge Based Economy

    Directory of Open Access Journals (Sweden)

    Dorel PARASCHIV

    2008-01-01

    Full Text Available The viability and success of modern enterprises are subject to the increasing dynamic of the economic environment, so they need to adjust rapidly their policies and strategies in order to respond to sophistication of competitors, customers and suppliers, globalization of business, international competition. Perhaps the most critical component for success of the modern enterprise is its ability to take advantage of all available information - both internal and external. Making sense of all this information, gaining value and competitive advantage through represents real challenges for the enterprise. The IT solutions designed to address these challenges have been developed in two different approaches: structured data management (Business Intelligence and unstructured content management (Knowledge Management. Integrating Business Intelligence and Knowledge Management in new software applications designated not only to store highly structured data and exploit it in real time but also to interpret the results and communicate them to decision factors provides real technological support for Strategic Management. Integrating Business Intelligence and Knowledge Management in order to respond to the challenges the modern enterprise has to deal with represents not only a "new trend" in IT, but a necessity in the emerging knowledge based economy. These hybrid technologies are already widely known in both scientific and practice communities as Competitive Intelligence. In the end of paper,a competitive datawarehouse design is proposed, in an attempt to apply business intelligence technologies to economic environment analysis making use of romanian public data sources.

  12. 78 FR 56263 - HydroGen Corp., QueryObject Systems Corp., Security Intelligence Technologies, Inc., Skins, Inc...

    Science.gov (United States)

    2013-09-12

    ... From the Federal Register Online via the Government Publishing Office SECURITIES AND EXCHANGE COMMISSION HydroGen Corp., QueryObject Systems Corp., Security Intelligence Technologies, Inc., Skins, Inc... and accurate information concerning the securities of Security Intelligence Technologies, Inc. because...

  13. Using Learning Analytics to Understand the Design of an Intelligent Language Tutor – Chatbot Lucy

    Directory of Open Access Journals (Sweden)

    Yi Fei Wang

    2013-12-01

    Full Text Available the goal of this article is to explore how learning analytics can be used to predict and advise the design of an intelligent language tutor, chatbot Lucy. With its focus on using student-produced data to understand the design of Lucy to assist English language learning, this research can be a valuable component for language-learning designers to improve second language acquisition. In this article, we present students’ learning journey and data trails, the chatting log architecture and resultant applications to the design of language learning systems.

  14. Learning to Baseline Business Technology

    Directory of Open Access Journals (Sweden)

    David Gore

    2013-10-01

    Full Text Available bills, sign multi-­‐year contracts, and make purchasing decisions without having an overall technology plan. That plan includes a technology baseline to fully assess existing technology. A CIO's goal is to align IT with business goals. Businesses must know total cost of ownership and the return on investment for all technology purchases and monthly costs. A business must also be able to manage technology assets and best utilize resources across the business. Teaching students to baseline technology will enable them to track and manage costs, discover errors and waste, and consolidate and improve existing technology.

  15. Modern technologies of e-learning

    Directory of Open Access Journals (Sweden)

    G. A. gyzy Mamedova

    2017-01-01

    Full Text Available E-learning constitutes a significant competition to traditional education in many countries and has become a major tool for the modernization of education and economic growth. For the development and implementation of successful e-learning systems, we need technologies that allow working with them for any number of users, providing a good learning environment. The article provides an overview of the technologies used in foreign universities for managing e-learning, such as 3D technologies in training programs, interactive technologies, personalization of learning using cloud computing and big data technologies. It is shown that today quite a large number of software and hardware development was created and introduced, implementing various mechanisms of introducing information technologies in the educational process. One of such developments is the use of adaptive technologies in the learning process, allowing the student to adapt to the training material, choose the suitable method of mastering the material, and adjust the intensity of training at different stages of the learning process. Another development of information technologies in education is the use of cloud computing, allowing access to educational resources for teachers, students, and managers of the education system. It was revealed that the use of cloud technologies leads to a significant decrease in material costs for the purchase of expensive equipment and software, educational content from the cloud can be accessed from any device (laptop, smartphone, tablet, etc. and at a convenient time for the learner, it is enough to have Internet connection and a browser. In the e-learning environment, there are many different types of data, both structured and unstructured, processing of which is difficult to implement using traditional statistical methods. For the processing of such data technologies of processing big data are used such as NoSQL and Hadoop. The article shows that the

  16. Intelligent Self-Organized Robust Control Design based on Quantum/Soft Computing Technologies and Kansei Engineering

    Directory of Open Access Journals (Sweden)

    S.V. Ulyanov

    2013-10-01

    Full Text Available System of systems engineering technology describes the possibility of ill-defined (autonomous or hierarchically connected dynamic control system design that includes human decision making in unpredicted (unforeseen control situations. Kansei/Affective Engineering technology and its toolkit include qualitative description of human being emotion, instinct and intuition that are used effectively in design processes of smart/wise robotics and intelligent mechatronics. In presented report the way how these technologies can be married using new types of unconventional computational intelligence is described. System analysis of interrelations between these two important technologies is discussed. The solution of an important problem as robust intelligent control system design based on quantum knowledge base self-organization in unpredicted control situations and information risk is proposed. The background of applied unconventional computational intelligence is soft and quantum computing technologies. Applications of the developed approach in robust integrated fuzzy intelligent control systems are considered using concrete Benchmarks.

  17. Public Health Intelligence: Learning From the Ebola Crisis.

    Science.gov (United States)

    Carney, Timothy Jay; Weber, David Jay

    2015-09-01

    Today's public health crises, as exemplified by the Ebola outbreak, lead to dramatic calls to action that typically include improved electronic monitoring systems to better prepare for, and respond to, similar occurrences in the future. Even a preliminary public health informatics evaluation of the current Ebola crisis exposes the need for enhanced coordination and sharing of trustworthy public health intelligence. We call for a consumer-centric model of public health intelligence and the formation of a national center to guide public health intelligence gathering and synthesis. Sharing accurate and actionable information with government agencies, health care practitioners, policymakers, and, critically, the general public, will mark a shift from doing public health surveillance on people to doing public health surveillance for people.

  18. [Information technology in learning sign language].

    Science.gov (United States)

    Hernández, Cesar; Pulido, Jose L; Arias, Jorge E

    2015-01-01

    To develop a technological tool that improves the initial learning of sign language in hearing impaired children. The development of this research was conducted in three phases: the lifting of requirements, design and development of the proposed device, and validation and evaluation device. Through the use of information technology and with the advice of special education professionals, we were able to develop an electronic device that facilitates the learning of sign language in deaf children. This is formed mainly by a graphic touch screen, a voice synthesizer, and a voice recognition system. Validation was performed with the deaf children in the Filadelfia School of the city of Bogotá. A learning methodology was established that improves learning times through a small, portable, lightweight, and educational technological prototype. Tests showed the effectiveness of this prototype, achieving a 32 % reduction in the initial learning time for sign language in deaf children.

  19. Teacher Design Knowledge for Technology Enhanced Learning

    NARCIS (Netherlands)

    McKenney-Jensh, Susan E.

    2014-01-01

    This presentation shares a framework for investigating the knowledge teachers need to be able to design technology-enhanced learning. Specific activities are undertaken to consider elements within the framework

  20. Towards more efficient e-learning, intelligence and adapted teaching material

    Directory of Open Access Journals (Sweden)

    Damir Kalpić

    2010-12-01

    Full Text Available This article presents results of a research project in which we attempted to determine the relationship between efficient E-learning and teaching materials adapted based on students’ structure of intelligence. The project was conducted on approximately 500 students, 23 classes, nine elementary schools, with ten teachers of history, informatics and several licensed psychologists. E-teaching material was prepared for the subject of History for eight-grade students of elementary school. Students were tested for the structure of intelligence, and based on their most prominent component, they were divided into groups, using teaching materials adapted to their most prominent intelligence component. The results have shown that use of the adapted teaching materials achieved 6-12% better results than E-materials not adapted to students’ structure of intelligence.

  1. Keeping Pace with New Technology: An Introduction to Robotics, FORTH, and Artificial Intelligence.

    Science.gov (United States)

    Reck, Gene

    A course was developed to introduce students at a community college to four major areas of emphasis in emerging technologies: FORTH programming language, elementary electronic theory, robotics, and artificial intelligence. After a needs assessment indicated the importance of such a course, a pretest focusing on the four areas was given to students…

  2. Integrated Biological Warfare Technology Platform (IBWTP). Intelligent Software Supporting Situation Awareness, Response, and Operations

    Science.gov (United States)

    2007-01-01

    21 4.3.1. Existing Biosurveillance Systems .............................................................. 22 4.3.2. Automatic Integration...Expert Team Risk Assessment Emergency Plans Command Centers IPE – Intelligent Portal - IPE Interactive Knowledge Wall Presentation Collaboration...such as existing biosurveillance systems, information produced via technological approaches can be incorporated into IBWTP in a fairly transparent

  3. Business Intelligence: Applying the Unified Theory of Acceptance and Use of Technology

    Science.gov (United States)

    Pope, Angela D.

    2014-01-01

    The purpose of this study was to explore the variables that affect an individual's intention to use business intelligence technology in organizations. Constructs in the study were social influence, performance expectancy, effort expectancy, and behavioral intention. Social influence refers to verbal comments from executives and coworkers that…

  4. Science Technology and Engineering Teachers' Emotional Intelligence vis-à-vis Classroom Management

    Science.gov (United States)

    Llego, Jordan Hiso

    2017-01-01

    This study aimed to determine the relationship of emotional intelligence of science STE teachers' with their classroom management. This study used descriptive-correlational using survey questionnaire with total population sampling who are offering Science, Technology and Engineering curriculum in Region 1, Philippines with 113 respondents.…

  5. Business Intelligence: Applying the Unified Theory of Acceptance and Use of Technology

    Science.gov (United States)

    Pope, Angela D.

    2014-01-01

    The purpose of this study was to explore the variables that affect an individual's intention to use business intelligence technology in organizations. Constructs in the study were social influence, performance expectancy, effort expectancy, and behavioral intention. Social influence refers to verbal comments from executives and coworkers that…

  6. Modeling learning technology systems as business systems

    NARCIS (Netherlands)

    Avgeriou, Paris; Retalis, Symeon; Papaspyrou, Nikolaos

    2003-01-01

    The design of Learning Technology Systems, and the Software Systems that support them, is largely conducted on an intuitive, ad hoc basis, thus resulting in inefficient systems that defectively support the learning process. There is now justifiable, increasing effort in formalizing the engineering o

  7. Teaching, Learning & Technology: Instrumentatie van betekenisvolle interacties

    NARCIS (Netherlands)

    Fransen, Jos

    2015-01-01

    Lectorale redeboek + presentatie van de verkorte vorm uitgesproken op 24 september 2015 bij de aanvaarding van de positie als lector Teaching, Learning & Technology bij Hogeschool Inholland. Zie ook: http://www.inholland.nl/onderzoek/Lectoraten/eLearning/Verslag+miniconferentie+2015.htm)

  8. Modeling learning technology systems as business systems

    NARCIS (Netherlands)

    Avgeriou, Paris; Retalis, Symeon; Papaspyrou, Nikolaos

    2003-01-01

    The design of Learning Technology Systems, and the Software Systems that support them, is largely conducted on an intuitive, ad hoc basis, thus resulting in inefficient systems that defectively support the learning process. There is now justifiable, increasing effort in formalizing the engineering

  9. Theory and the practices of learning technology.

    OpenAIRE

    Jones, Chris

    2004-01-01

    http://www.networkedlearningconference.org.uk/index.htm; This paper examines the link between theory and practice in relation to learning technology. It will do this in the context of a move from working with early adopters to learning technologists engaging with the majority of academic staff (Browne, 2003). This move takes place at the same time that academic staff in tertiary education are being encouraged to engage formally with learning and teaching in a way that is sharply different fro...

  10. Research on UAV Intelligent Obstacle Avoidance Technology During Inspection of Transmission Line

    Science.gov (United States)

    Wei, Chuanhu; Zhang, Fei; Yin, Chaoyuan; Liu, Yue; Liu, Liang; Li, Zongyu; Wang, Wanguo

    Autonomous obstacle avoidance of unmanned aerial vehicle (hereinafter referred to as UAV) in electric power line inspection process has important significance for operation safety and economy for UAV intelligent inspection system of transmission line as main content of UAV intelligent inspection system on transmission line. In the paper, principles of UAV inspection obstacle avoidance technology of transmission line are introduced. UAV inspection obstacle avoidance technology based on particle swarm global optimization algorithm is proposed after common obstacle avoidance technologies are studied. Stimulation comparison is implemented with traditional UAV inspection obstacle avoidance technology which adopts artificial potential field method. Results show that UAV inspection strategy of particle swarm optimization algorithm, adopted in the paper, is prominently better than UAV inspection strategy of artificial potential field method in the aspects of obstacle avoidance effect and the ability of returning to preset inspection track after passing through the obstacle. An effective method is provided for UAV inspection obstacle avoidance of transmission line.

  11. Emerging technologies personal learning environments

    National Research Council Canada - National Science Library

    Godwin-Jones, Robert

    2009-01-01

    ... with instructors and peers through a top-down, fairly inflexible learning management system. Some instructors are finding that they are able to provide a flexible and creative learning environment more in tune with today's students through the use of (mostly) free tools that allow for a customized set of resources and services. Instructors choo...

  12. Emotional Intelligence as a Predictor for Success in Online Learning

    Science.gov (United States)

    Berenson, Robin; Boyles, Gary; Weaver, Ann

    2008-01-01

    As students increasingly opt for online classes, it becomes more important for administrators to predict levels of potential academic success. This study examined the intrinsic factors of emotional intelligence (EI) and personality to determine the extent to which they predict grade point average (GPA), a measure of academic success, among…

  13. Visual intelligence using neural-symbolic learning and reasoning

    NARCIS (Netherlands)

    Penning, H.L.H. de

    2011-01-01

    The DARPA Mind’s Eye program seeks to develop in machines a capability that currently exists only in animals: visual intelligence. This short paper describes the initial results of a Neural-Symbolic approach for action recognition and description to be demonstrated at the 7th international workshop

  14. Emotional Intelligence and Social-Emotional Learning: An Overview

    Science.gov (United States)

    Basu, Anamitra; Mermillod, Martial

    2011-01-01

    The term "EI (emotional intelligence)" was first used in 1990 by Salovey and Mayer. EI involves: (1) the ability to perceive accurately, appraise and express emotion; (2) the ability to access and/or generate feelings when they facilitate thought; (3) the ability to understand emotion and emotional knowledge; and (4) the ability to regulate…

  15. Single photon in hierarchical architecture for physical reinforcement learning: Photon intelligence

    CERN Document Server

    Naruse, Makoto; Drezet, Aurélien; Huant, Serge; Hori, Hirokazu; Kim, Song-Ju

    2016-01-01

    Understanding and using natural processes for intelligent functionalities, referred to as natural intelligence, has recently attracted interest from a variety of fields, including post-silicon computing for artificial intelligence and decision making in the behavioural sciences. In a past study, we successfully used the wave-particle duality of single photons to solve the two-armed bandit problem, which constitutes the foundation of reinforcement learning and decision making. In this study, we propose and confirm a hierarchical architecture for single-photon-based reinforcement learning and decision making that verifies the scalability of the principle. Specifically, the four-armed bandit problem is solved given zero prior knowledge in a two-layer hierarchical architecture, where polarization is autonomously adapted in order to effect adequate decision making using single-photon measurements. In the hierarchical structure, the notion of layer-dependent decisions emerges. The optimal solutions in the coarse la...

  16. Genetic Scheduling and Reinforcement Learning in Multirobot Systems for Intelligent Warehouses

    Directory of Open Access Journals (Sweden)

    Jiajia Dou

    2015-01-01

    Full Text Available A new hybrid solution is presented to improve the efficiency of intelligent warehouses with multirobot systems, where the genetic algorithm (GA based task scheduling is combined with reinforcement learning (RL based path planning for mobile robots. Reinforcement learning is an effective approach to search for a collision-free path in unknown dynamic environments. Genetic algorithm is a simple but splendid evolutionary search method that provides very good solutions for task allocation. In order to achieve higher efficiency of the intelligent warehouse system, we design a new solution by combining these two techniques and provide an effective and alternative way compared with other state-of-the-art methods. Simulation results demonstrate the effectiveness of the proposed approach regarding the optimization of travel time and overall efficiency of the intelligent warehouse system.

  17. Evaluation of an Intelligent Assistive Technology for Voice Navigation of Spreadsheets

    CERN Document Server

    Flood, Derek; Caffery, Fergal Mc; Bishop, Brian

    2008-01-01

    An integral part of spreadsheet auditing is navigation. For sufferers of Repetitive Strain Injury who need to use voice recognition technology this navigation can be highly problematic. To counter this the authors have developed an intelligent voice navigation system, iVoice, which replicates common spreadsheet auditing behaviours through simple voice commands. This paper outlines the iVoice system and summarizes the results of a study to evaluate iVoice when compared to a leading voice recognition technology.

  18. 1st International Conference on Information and Communication Technology for Intelligent Systems

    CERN Document Server

    Das, Swagatam

    2017-01-01

    This volume contains 59 papers presented at ICTIS 2015: International Conference on Information and Communication Technology for Intelligent Systems. The conference was held during 28th and 29th November, 2015, Ahmedabad, India and organized communally by Venus International College of Technology, Association of Computer Machinery, Ahmedabad Chapter and Supported by Computer Society of India Division IV – Communication and Division V – Education and Research. This volume contains papers mainly focused on ICT for Computation, Algorithms and Data Analytics etc.

  19. A multi-agent system model to integrate Virtual Learning Environments and Intelligent Tutoring Systems

    Directory of Open Access Journals (Sweden)

    Giuffra P.

    2013-03-01

    Full Text Available Virtual learning environments (VLEs are used in distance learning and classroom teaching as teachers and students support tools in the teaching–learning process, where teachers can provide material, activities and assessments for students. However, this process is done in the same way for all the students, regardless of their differences in performance and behavior in the environment. The purpose of this work is to develop an agent-based intelligent learning environment model inspired by intelligent tutoring to provide adaptability to distributed VLEs, using Moodle as a case study and taking into account students’ performance on tasks and activities proposed by the teacher, as well as monitoring his/her study material access.

  20. Errors and Intelligence in Computer-Assisted Language Learning: Parsers and Pedagogues. Routledge Studies in Computer Assisted Language Learning

    Science.gov (United States)

    Heift, Trude; Schulze, Mathias

    2012-01-01

    This book provides the first comprehensive overview of theoretical issues, historical developments and current trends in ICALL (Intelligent Computer-Assisted Language Learning). It assumes a basic familiarity with Second Language Acquisition (SLA) theory and teaching, CALL and linguistics. It is of interest to upper undergraduate and/or graduate…

  1. Technology enhanced peer learning and peer assessment

    Directory of Open Access Journals (Sweden)

    Christian Bugge Henriksen

    2016-11-01

    Full Text Available This paper explores the application of learning designs featuring formalised and structured technology enhanced peer learning. These include student produced learning elements, peer review discussions and peer assessment in the BSc/MSc level summer course Restoration of European Ecosystems and Freshwaters (REEF, the Master thesis preparation seminars for the Master of Public Health (MPH and the MOOC course Global Environmental Management (GEM. The application of student produced learning elements and peer review discussions is investigated by analyzing quotes from course evaluations and performing focus group interviews. The application of peer assessment is investigated by analyzing the agreement of peer assessment between students assessing the same assignment. Our analyses confirm previous research on the value of peer learning and peer assessment and we argue that there could also be a huge benefit from developing learning design patterns that facilitate informal peer learning and reinforce knowledge sharing practices.

  2. APPLICATION OF TECHNOLOGY BENCHMARKING (CORPORATE INTELLIGENCE IN THE MANAGEMENT OF ORGANIZATIONS

    Directory of Open Access Journals (Sweden)

    Alexander L. Barannikov

    2014-01-01

    Full Text Available About technology benchmarking (corporate intelligence in the management of organization Benchmarking is an important part of the management of organization. It is aimed at study of the successful experience of various organizations and, first of all competitors, in order to improve on the basis of the information received by its own management and production of competitive products using a variety of sources. In the benchmarking directly use the instruments of corporate intelligence, which main purpose is information support of the activities of organizations.

  3. On Quality Assessment of Learning Technology Specifications

    NARCIS (Netherlands)

    Janssen, José; Berlanga, Adriana; Koper, Rob

    2012-01-01

    Janssen, J., Berlanga, A. J., & Koper, R. (2012). On Quality Assessment of Learning Technology Specifications. In J. C. Ramalho, A. Simões, & R. Queirós (Eds.). Innovations in XML Applications and Metadata Management: Advancing Technologies (pp. 78-95). Hershey, PA, USA: IGI Global. Below file

  4. Computer Technology-Infused Learning Enhancement

    Science.gov (United States)

    Keengwe, Jared; Anyanwu, Longy O.

    2007-01-01

    The purpose of the study was to determine students' perception of instructional integration of computer technology to improve learning. Two key questions were investigated in this study: (a) What is the students' perception of faculty integration of computer technology into classroom instruction? (b) To what extent does the students' perception of…

  5. Prototyping Feedback for Technology Enhanced Learning

    DEFF Research Database (Denmark)

    Cojocaru, Dorian; Spikol, Daniel; Friesel, Anna

    2016-01-01

    The development of new educational technologies, in the area of practical activities is the main aim of the FP7 PELARS project. As part of the constructivist learning scenarios, according to the project proposal, the development and evaluation of technology designs are envisaged, for analytic dat...

  6. Technologies in Use for Second Language Learning

    Science.gov (United States)

    Levy, Mike

    2009-01-01

    This article describes the technologies in use for second language learning, in relation to the major language areas and skills. In order, these are grammar, vocabulary, reading, writing, pronunciation, listening, speaking, and culture. With each language area or skill, the relevant technologies are discussed with examples that illustrate how…

  7. MOOCs, High Technology, and Higher Learning

    Science.gov (United States)

    Rhoads, Robert A.

    2015-01-01

    In "MOOCs, High Technology, and Higher Learning," Robert A. Rhoads places the OpenCourseWare (OCW) movement into the larger context of a revolution in educational technology. In doing so, he seeks to bring greater balance to increasingly polarized discussions of massively open online courses (MOOCs) and show their ongoing relevance to…

  8. Robotic Technology Development at Ames: The Intelligent Robotics Group and Surface Telerobotics

    Science.gov (United States)

    Bualat, Maria; Fong, Terrence

    2013-01-01

    Future human missions to the Moon, Mars, and other destinations offer many new opportunities for exploration. But, astronaut time will always be limited and some work will not be feasible for humans to do manually. Robots, however, can complement human explorers, performing work autonomously or under remote supervision from Earth. Since 2004, the Intelligent Robotics Group has been working to make human-robot interaction efficient and effective for space exploration. A central focus of our research has been to develop and field test robots that benefit human exploration. Our approach is inspired by lessons learned from the Mars Exploration Rovers, as well as human spaceflight programs, including Apollo, the Space Shuttle, and the International Space Station. We conduct applied research in computer vision, geospatial data systems, human-robot interaction, planetary mapping and robot software. In planning for future exploration missions, architecture and study teams have made numerous assumptions about how crew can be telepresent on a planetary surface by remotely operating surface robots from space (i.e. from a flight vehicle or deep space habitat). These assumptions include estimates of technology maturity, existing technology gaps, and likely operational and functional risks. These assumptions, however, are not grounded by actual experimental data. Moreover, no crew-controlled surface telerobotic system has yet been fully tested, or rigorously validated, through flight testing. During Summer 2013, we conducted a series of tests to examine how astronauts in the International Space Station (ISS) can remotely operate a planetary rover across short time delays. The tests simulated portions of a proposed human-robotic Lunar Waypoint mission, in which astronauts in lunar orbit remotely operate a planetary rover on the lunar Farside to deploy a radio telescope array. We used these tests to obtain baseline-engineering data.

  9. Relationship between Students' Emotional Intelligence, Social Bond, and Interactions in Online Learning

    Science.gov (United States)

    Han, Heeyoung; Johnson, Scott D.

    2012-01-01

    The purpose of the study was to investigate the relationship between students' emotional intelligence, social bond, and their interactions in an online learning environment. The research setting in this study was a 100% online master's degree program within a university located in the Midwest of the United States. Eighty-four students participated…

  10. Development and Field Test of the Multiple Intelligences Learning Instruction Congruency Impact Scale

    Science.gov (United States)

    Peifer, Nancy

    2012-01-01

    The purpose of this study was to contribute to the academic discussion regarding the validity of Multiple Intelligences (MI) theory through focusing on the validity of an important construct embedded in the theory, that of congruence between instructional style and preferred MI style for optimal learning. Currently there is insufficient empirical…

  11. Investigating the Role of Multiple Intelligences in Determining Vocabulary Learning Strategies for L2 Learners

    Science.gov (United States)

    Sistani, Mahsa; Hashemian, Mahmood

    2016-01-01

    This study, first, examined whether there was any relationship between Iranian L2 learners' vocabulary learning strategies (VLSs), on the one hand, and their multiple intelligences (MI) types, on the other hand. In so doing, it explored the extent to which MI would predict L2 learners' VLSs. To these ends, 40 L2 learners from Isfahan University of…

  12. A Cross-Cultural Study of Taiwanese and Kuwaiti EFL Students' Learning Styles and Multiple Intelligences

    Science.gov (United States)

    Wu, Shu-hua; Alrabah, Sulaiman

    2009-01-01

    The purpose of the present study was to relate the findings of a survey of learning styles and multiple intelligences that was distributed among two different cultural groups of Freshman-level EFL students in Taiwan and Kuwait in order to confirm its consistency for developing teaching techniques appropriate for each group's general profiles. Data…

  13. Invited Reaction: Developing Emotional Intelligence (EI) Abilities through Team-Based Learning

    Science.gov (United States)

    Leimbach, Michael P.; Maringka, Jane

    2010-01-01

    The preceding article (Clarke, 2010) examines an important and interesting question; that is, under what conditions can learning contribute to the development of emotional intelligence (EI)? Despite the controversy surrounding the definition and construct of EI, its prevalence for the human resources development (HRD) field and its implications…

  14. Learner Differences among Children Learning a Foreign Language: Language Anxiety, Strategy Use, and Multiple Intelligences

    Science.gov (United States)

    Liu, Hui-ju; Chen, Ting-Han

    2014-01-01

    This study mainly investigates language anxiety and its relationship to the use of learning strategies and multiple intelligences among young learners in an EFL educational context. The participants were composed of 212 fifth- and sixth-graders from elementary schools in central Taiwan. Findings indicated that most participants generally…

  15. The Relationship between Perceptual Learning Style Preferences and Multiple Intelligences among Iranian EFL Learners

    Science.gov (United States)

    Baleghizadeh, Sasan; Shayeghi, Rose

    2014-01-01

    The purpose of the present study is to investigate the relationships between preferences of Multiple Intelligences and perceptual/social learning styles. Two self-report questionnaires were administered to a total of 207 male and female participants. Pearson correlation results revealed statistically significant positive relations between…

  16. Improving the Students' Spiritual Intelligence in English Writing through Whole Brain Learning

    Science.gov (United States)

    Santoso, Didik

    2016-01-01

    The objective of this research was to improve the students' spiritual intelligence in English writing through Whole Brain Learning strategy. Therefore, this study was conducted as a classroom action research. The research pocedure followed the cyclonic process of planning, action, observation, and reflection. This process was preceeded by…

  17. Adaptive and Intelligent Systems for Collaborative Learning Support: A Review of the Field

    Science.gov (United States)

    Magnisalis, I.; Demetriadis, S.; Karakostas, A.

    2011-01-01

    This study critically reviews the recently published scientific literature on the design and impact of adaptive and intelligent systems for collaborative learning support (AICLS) systems. The focus is threefold: 1) analyze critical design issues of AICLS systems and organize them under a unifying classification scheme, 2) present research evidence…

  18. The magic of collective emotional intelligence in learning groups : No guys needed for the spell!

    NARCIS (Netherlands)

    Curseu, P.L.; Pluut, H.; Boros, S.; Meslec, M.N.

    2015-01-01

    Using a cross-lagged design, the present study tests an integrative model of emergent collective emotions in learning groups. Our results indicate that the percentage of women in the group fosters the emergence of collective emotional intelligence, which in turn stimulates social integration within

  19. Auditory inspired machine learning techniques can improve speech intelligibility and quality for hearing-impaired listeners.

    Science.gov (United States)

    Monaghan, Jessica J M; Goehring, Tobias; Yang, Xin; Bolner, Federico; Wang, Shangqiguo; Wright, Matthew C M; Bleeck, Stefan

    2017-03-01

    Machine-learning based approaches to speech enhancement have recently shown great promise for improving speech intelligibility for hearing-impaired listeners. Here, the performance of three machine-learning algorithms and one classical algorithm, Wiener filtering, was compared. Two algorithms based on neural networks were examined, one using a previously reported feature set and one using a feature set derived from an auditory model. The third machine-learning approach was a dictionary-based sparse-coding algorithm. Speech intelligibility and quality scores were obtained for participants with mild-to-moderate hearing impairments listening to sentences in speech-shaped noise and multi-talker babble following processing with the algorithms. Intelligibility and quality scores were significantly improved by each of the three machine-learning approaches, but not by the classical approach. The largest improvements for both speech intelligibility and quality were found by implementing a neural network using the feature set based on auditory modeling. Furthermore, neural network based techniques appeared more promising than dictionary-based, sparse coding in terms of performance and ease of implementation.

  20. Agents Control in Intelligent Learning Systems: The Case of Reactive Characteristics

    Science.gov (United States)

    Laureano-Cruces, Ana Lilia; Ramirez-Rodriguez, Javier; de Arriaga, Fernando; Escarela-Perez, Rafael

    2006-01-01

    Intelligent learning systems (ILSs) have evolved in the last few years basically because of influences received from multi-agent architectures (MAs). Conflict resolution among agents has been a very important problem for multi-agent systems, with specific features in the case of ILSs. The literature shows that ILSs with cognitive or pedagogical…

  1. Trait Emotional Intelligence and Learning Styles: The Case of Iranian English for Academic Purposes Learners

    Science.gov (United States)

    Aliakbari, Mohammad; Abol-Nejadian, Rezvan

    2015-01-01

    Although a large body of research has been dedicated to examining emotional intelligence (EI) and learning styles in relation to different factors in academic setting, the relationship between these two variables still necessitates more exploration and deeper study, especially in the Iranian context. To this end, 60 English for Academic Purposes…

  2. Profiles of Emotional Intelligence and Learning Strategies in a Sample of Chilean Students

    Science.gov (United States)

    García-Fernández, José M.; Inglés, Cándido J.; Suriá, Raquel; Martín, Nelly Lagos-San; Gonzálvez-Maciá, Carolina; Aparisi, David; Martínez-Monteagudo, Mari C.

    2015-01-01

    In the last few years, one of the lines of research of great interest in the field of emotional intelligence (EI) has been the analysis of the role of emotions in the educational context and, in particular, their influence on learning strategies. The aims of this study are to identify the existence of different EI profiles and to determine…

  3. Improving Marketing Intelligence through Learning Systems and Knowledge Communities in Not-for-Profit Workplaces

    Science.gov (United States)

    Murray, Peter; Carter, Leanne

    2005-01-01

    Purpose: The purpose of the paper is to illustrate how marketing intelligence might be improved when an organisation's learning capacity is integrated and incorporated in well-defined organisational subsystems in a not-for-profit context. Design/methodology/approach: First, given that market orientation is primarily concerned with gathering and…

  4. Theories of Intelligence, Learning, and Motivation as a Basis for Praxis

    Science.gov (United States)

    Nderu-Boddington, Eulalee

    2008-01-01

    This paper examines how Piaget, Werner, and Gardner differ regarding the roles of cognition, intelligence, and learning in the developmental process. Piaget believes in the predominance of genetic factors. Werner stresses the influence of biological factors, while Gardner proposes that the environment plays a greater influence in how intelligence…

  5. An Intelligent Tutoring System for Learning Chinese with a Cognitive Model of the Learner

    Science.gov (United States)

    Kosek, Michal; Lison, Pierre

    2014-01-01

    We present an intelligent tutoring system that lets students of Chinese learn words and grammatical constructions. It relies on a Bayesian, linguistically motivated cognitive model that represents the learner's knowledge. This model is dynamically updated given observations about the learner's behaviour in the exercises, and employed at runtime to…

  6. Improving Marketing Intelligence through Learning Systems and Knowledge Communities in Not-for-Profit Workplaces

    Science.gov (United States)

    Murray, Peter; Carter, Leanne

    2005-01-01

    Purpose: The purpose of the paper is to illustrate how marketing intelligence might be improved when an organisation's learning capacity is integrated and incorporated in well-defined organisational subsystems in a not-for-profit context. Design/methodology/approach: First, given that market orientation is primarily concerned with gathering and…

  7. The Relationship between Perceptual Learning Style Preferences and Multiple Intelligences among Iranian EFL Learners

    Science.gov (United States)

    Baleghizadeh, Sasan; Shayeghi, Rose

    2014-01-01

    The purpose of the present study is to investigate the relationships between preferences of Multiple Intelligences and perceptual/social learning styles. Two self-report questionnaires were administered to a total of 207 male and female participants. Pearson correlation results revealed statistically significant positive relations between…

  8. Intelligent Spectrum Handoff via Docitive Learning in Cognitive Radio Networks (CRNs)

    Science.gov (United States)

    2017-03-01

    Learning based Cooperative Sensing in Sognitive Radio Ad HocNetworks,” in 21st IEEE Intl. Symposium Personal Indoor and Mobile Radio Communications...INTELLIGENT SPECTRUM HANDOFF VIA DOCITIVE LEARNING IN COGNITIVE RADIO NETWORKS (CRNs) THE UNIVERSITY OF ALABAMA MARCH 2017 FINAL TECHNICAL REPORT...Government formulated or supplied the drawings, specifications, or other data does not license the holder or any other person or corporation; or

  9. Strategic intelligence on emerging technologies: Scientometric overlay mapping

    NARCIS (Netherlands)

    Rotolo, D.; Rafols, I.; Hopkins, M.M.; Leydesdorff, L.

    This paper examines the use of scientometric overlay mapping as a tool of “strategic intelligence” to aid the governing of emerging technologies. We develop an integrative synthesis of different overlay mapping techniques and associated perspectives on technological emergence across geographical,

  10. BLENDED TECHNOLOGY IN LEARNING FOREIGN LANGUAGES

    Directory of Open Access Journals (Sweden)

    Natalia Alexandrovna Kameneva

    2013-11-01

    Full Text Available This article analyzes the use of information technologies in the context of a blended technology approach to learning foreign languages in higher education institutions. Distance learning tools can be categorized as being synchronous (webinar, video conferencing, case-technology, chat, ICQ, Skype, interactive whiteboards or asynchronous (blogs, forums, Twitter, video and audio podcasts, wikis, on-line testing. Sociological and psychological aspects of their application in the educational process are also considered.DOI: http://dx.doi.org/10.12731/2218-7405-2013-8-41

  11. Learning by Playing with Digital Technology

    DEFF Research Database (Denmark)

    Benjaminsen, Nana

    2006-01-01

    This paper presupposes the notion that there is potential for the integration of play into primary and secondary school activities, because it can stimulate and support the formal as well as informal learning that takes place in school. Digital technology could be a driver for this integration...... Construction Games in Schools. The project is an exploration of how elements of play can be integrated in a technology-based learning environment. I will use examples of empirical data gathered during spring 2006 to demonstrate that play can function as a useful learning strategy, and also point out barriers...... for the integration of play in schools, because play activities conflict with the existing school structure on a fundamental level. The paper will end with a discussion where I question what type of learning environment the play oriented product Lego Robolab generates, and explore how play as a part of a learning...

  12. Effects of using presentation formats that accommodate the learner's multiple intelligences on the learning of freshman college chemistry concepts

    Science.gov (United States)

    Brown Wright, Gloria Aileen

    Howard Gardner's Theory of Multiple Intelligences identifies linguistic, spatial and logical-mathematical intelligences as necessary for learning in the physical sciences. He has identified nine intelligences which all persons possess to varying degrees, and says that learning is most effective when learners receive information in formats that correspond to their intelligence strengths. This research investigated the importance of the multiple intelligences of students in first-year college chemistry to the learning of chemistry concepts. At three pre-selected intervals during the first-semester course each participant received a tutorial on a chemistry topic, each time in a format corresponding to a different one of the three intelligences, just before the concept was introduced by the class lecturer. At the end of the experiment all subjects had experienced each of the three topics once and each format once, after which they were administered a validated instrument to measure their relative strengths in these three intelligences. The difference between a pre- and post-tutorial quiz administered on each occasion was used as a measure of learning. Most subjects were found to have similar strengths in the three intelligences and to benefit from the tutorials regardless of format. Where a difference in the extent of benefit occurred the difference was related to the chemistry concept. Data which indicate that students' preferences support these findings are also included and recommendations for extending this research to other intelligences are made.

  13. An Intelligent Computer-aided Training System (CAT) for Diagnosing Adult Illiterates: Integrating NASA Technology into Workplace Literacy

    Science.gov (United States)

    Yaden, David B., Jr.

    1991-01-01

    An important part of NASA's mission involves the secondary application of its technologies in the public and private sectors. One current application being developed is The Adult Literacy Evaluator, a simulation-based diagnostic tool designed to assess the operant literacy abilities of adults having difficulties in learning to read and write. Using Intelligent Computer-Aided Training (ICAT) system technology in addition to speech recognition, closed-captioned television (CCTV), live video and other state-of-the-art graphics and storage capabilities, this project attempts to overcome the negative effects of adult literacy assessment by allowing the client to interact with an intelligent computer system which simulates real-life literacy activities and materials and which measures literacy performance in the actual context of its use. The specific objectives of the project are as follows: (1) to develop a simulation-based diagnostic tool to assess adults' prior knowledge about reading and writing processes in actual contexts of application; (2) to provide a profile of readers' strengths and weaknesses; and (3) to suggest instructional strategies and materials which can be used as a beginning point for remediation. In the first and development phase of the project, descriptions of literacy events and environments are being written and functional literacy documents analyzed for their components. From these descriptions, scripts are being generated which define the interaction between the student, an on-screen guide and the simulated literacy environment.

  14. Development of emotional intelligence in a team-based learning internal medicine clerkship.

    Science.gov (United States)

    Borges, Nicole J; Kirkham, Karen; Deardorff, Adam S; Moore, Jeremy A

    2012-01-01

    Although increasing number of articles have been published on team-based learning (TBL), none has explored team emotional intelligence. We extend the literature by examining changes in team emotional intelligence during a third year clerkship where TBL is a primary instructional strategy. We hypothesized that team emotional intelligence will change in a positive direction (i.e., increase) during the clerkship. With IRB approval, during the 2009-2010 academic year third-year students in their internal medicine clerkship (N = 105, 100% response rate) completed the Workgroup Emotional Intelligence Profile - Short Version (WEIP-S) at the beginning and at the end of their 12-week clerkship. TBL is an instructional strategy utilized during the internal medicine clerkship. Paired t-tests showed that team emotional intelligence increased significantly pre to post clerkship for three of the four areas: awareness of own emotions (p = 0.018), recognizing emotions in others (p = 0.031), and ability to manage other's emotions (p = 0.013). There was no change for ability to control own emotions (p = 0.570). In an internal medicine clerkship, where TBL is utilized as an instructional strategy, team emotional intelligence increases. This supports TBL as an adjunctive tool to traditional medical education pedagogy.

  15. Teaching Bayesian Statistics To Intelligence Analysts: Lessons Learned

    Directory of Open Access Journals (Sweden)

    Hemangni Deshmukh

    2009-01-01

    Full Text Available The Community must develop and integrate into regular use new tools that can assist analysts in filtering and correlating the vast quantities of information that threaten to overwhelm the analytic process…—Commission on the Intelligence Capabilities of the United States.Regarding Weapons of Mass Destruction (The WMD Report1Unlike the other social sciences and, particularly, the physical sciences, where scientists get to choose the questions they wish to answer and experiments are carefully designed to confirm or negate hypotheses, intelligence analysis requires analysts to deal with the demands of decision makers and estimate the intentions of foreign actors, criminals or business competitors in an environment filled with uncertainty and even deliberate deception.

  16. Autonomous Language Learning with Technology

    Science.gov (United States)

    Forsythe, Edward

    2013-01-01

    Japan's Ministry of Education, Culture, Sports, Science and Technology (MEXT) wants English language education to be more communicative. Japanese teachers of English (JTEs) need to adapt their instructional practices to meet this goal; however, they may not feel confident enough to teach speaking themselves. Using technology, JTEs have the ability…

  17. Intelligent recommendation system for e-learning platforms

    OpenAIRE

    Tavares, Bruno; Faria, Luiz; Martins, Constantino

    2012-01-01

    As more and more digital resources are available, finding the appropriate document becomes harder. Thus, a new kind of tools, able to recommend the more appropriated resources according the user needs, becomes even more necessary. The current project implements an intelligent recommendation system for elearning platforms. The recommendations are based on one hand, the performance of the user during the training process and on the other hand, the requests made by the user in the fo...

  18. Emotional Intelligence as a Predictor of Success in Online Learning

    OpenAIRE

    Gary Boyles; Robin Berenson; Ann Weaver

    2008-01-01

    As students increasingly opt for online classes, it becomes more important for administrators to predict levels of potential academic success. This study examined the intrinsic factors of emotional intelligence (EI) and personality to determine the extent to which they predict grade point average (GPA), a measure of academic success, among students attending community college. Stepwise multiple regression revealed that EI emerged as the most significant direct predictor of GPA. The addition o...

  19. Integrated Intelligence: Robot Instruction via Interactive Grounded Learning

    Science.gov (United States)

    2016-02-14

    2016 15-Jun-2012 14-Jun-2015 Approved for Public Release; Distribution Unlimited Final Report: 4.3.1 Integrated Intelligence : Robot Instruction via...PERFORMING ORGANIZATION REPORT NUMBER 19a. NAME OF RESPONSIBLE PERSON 19b. TELEPHONE NUMBER Luke Zettlemoyer Luke Zettlemoyer, Dieter Fox 611102 c...22202-4302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to any oenalty for failing to

  20. An Intelligent Tutoring System for Learning Java Objects

    OpenAIRE

    S. Abu-Naser1; Ahmed, A; al-Masri, N; Deeb, A; E. Moshtaha; M. AbuLamdy

    2011-01-01

    The paper describes the design of a web based intelligent tutoring system for teaching Java objects to students to overcome the difficulties they face. The basic idea of this system is a systematic introduction into the concept of Java objects. The system presents the topic of Java objects and administers automatically generated problems for the students to solve. The system is dynamically adapted at run time to the student’s individual progress. The system provides explicit suppo...

  1. Business intelligence

    Directory of Open Access Journals (Sweden)

    Cebotarean Elena

    2011-02-01

    Full Text Available Business intelligence (BI refers to computer-based techniques used in spotting, digging-out, and analyzing business data, such as sales revenue by products and/or departments, or by associated costs and incomes. BI technologies provide historical, current, and predictive views of business operations. Common functions of business intelligence technologies are reporting, online analytical processing, analytics, data mining, business performance management, benchmarking, text mining, and predictive analytics. Business intelligence aims to support better business decision-making. Thus a BI system can be called a decision support system (DSS. Though the term business intelligence is sometimes used as a synonym for competitive intelligence, because they both support decision making, BI uses technologies, processes, and applications to analyze mostly internal, structured data and business processes while competitive intelligence gathers, analyzes and disseminates information with a topical focus on company competitors. Business intelligence understood broadly can include the subset of competitive intelligence.

  2. How can Human Intelligence Enhance Collection in an Era of Un-manned Technology and Reduced Personnel?

    Science.gov (United States)

    2014-12-12

    CHAPTER 4 ANALYSIS “ Intelligence can provide a competitive advantage only if its various pieces are matched with operational experience and...HOW CAN HUMAN INTELLIGENCE ENHANCE COLLECTION IN AN ERA OF UN-MANNED TECHNOLOGY AND REDUCED PERSONNEL? A thesis presented to...

  3. An Intelligent and Interactive Simulation and Tutoring Environment for Exploring and Learning Simple Machines

    Science.gov (United States)

    Myneni, Lakshman Sundeep

    Students in middle school science classes have difficulty mastering physics concepts such as energy and work, taught in the context of simple machines. Moreover, students' naive conceptions of physics often remain unchanged after completing a science class. To address this problem, I developed an intelligent tutoring system, called the Virtual Physics System (ViPS), which coaches students through problem solving with one class of simple machines, pulley systems. The tutor uses a unique cognitive based approach to teaching simple machines, and includes innovations in three areas. (1) It employs a teaching strategy that focuses on highlighting links among concepts of the domain that are essential for conceptual understanding yet are seldom learned by students. (2) Concepts are taught through a combination of effective human tutoring techniques (e.g., hinting) and simulations. (3) For each student, the system identifies which misconceptions he or she has, from a common set of student misconceptions gathered from domain experts, and tailors tutoring to match the correct line of scientific reasoning regarding the misconceptions. ViPS was implemented as a platform on which students can design and simulate pulley system experiments, integrated with a constraint-based tutor that intervenes when students make errors during problem solving to teach them and to help them. ViPS has a web-based client-server architecture, and has been implemented using Java technologies. ViPS is different from existing physics simulations and tutoring systems due to several original features. (1). It is the first system to integrate a simulation based virtual experimentation platform with an intelligent tutoring component. (2) It uses a novel approach, based on Bayesian networks, to help students construct correct pulley systems for experimental simulation. (3) It identifies student misconceptions based on a novel decision tree applied to student pretest scores, and tailors tutoring to

  4. Learning styles and types of multiple intelligences in dental students in their first and tenth semester. Monterrey, Mexico, 2015.

    Directory of Open Access Journals (Sweden)

    Juan Solís-Soto

    2016-04-01

    Full Text Available Introduction: Nowadays the incorporation and validation of learning styles and multiple intelligences enable teachers to obtain positive results in academic performance. This new approach has allowed to appreciate personal differences in dental students and strengthen their underdeveloped aspects, improving teaching and learning skills. Objective: To compare learning styles and multiple intelligences in a sample of Mexican dental students in their first and tenth semester. Materials and Methods: A cross-sectional study using questionnaires on learning styles (Honey-Alonso and Gardner’s multiple intelligences was performed. The study was applied to 123 students in their first semester and 157 in their tenth semester at the School of Dentistry at Universidad Autónoma de Nuevo León, evaluating differences between age and sex. Results: Logical-Mathematical intelligence (p=0.044 and Kinesthetic-Corporal intelligence (p=0.042 showed significant differences between students of both semesters, with intrapersonal and interpersonal intelligences being more prevalent. Within learning styles, the prevalent were Reflexive and Theoretical, showing a significant difference between semesters (p=0.005. Conclusion: The most prevalent learning styles in both groups were Reflexive and Theoretical, with no difference between both sexes. The most prevalent types of multiple intelligences in both sexes and groups were interpersonal and intrapersonal.

  5. DIDBase: Intelligent, Interactive Archiving Technology for Ionogram Data

    Science.gov (United States)

    Reinisch, B. W.; Khmyrov, G.; Galkin, I. A.; Kozlov, A.

    2004-12-01

    Vertical ionospheric sounding data have been used in a variety of scenarios for ionospheric now-casting. Growing need for an accurate real-time specification of vertical electron density distribution at multiple locations stimulates interest to intelligent data management systems that can arrange concurrent, remote access to the acquired data. This type of data access requires high level of interaction and organization to support routing of data between ionosondes, data analysts, quality validation experts, end user applications, data managers, and online data repositories such as the World Data Centers. Digital Ionogram Database (DIDBase) is a pilot project started at UMASS Lowell in 2001, sponsored in part by the Air Force Research Laboratory, for management of real-time and retro data from a network of 50 digisondes. The DIDBase archives hold both raw and derived digisonde data under management of a commerical strength DBMS, providing convenient means for automated ingestion of real-time data from online digisondes (40 locations worldwide as of September 2004), remote read access to the data over HTTP Web protocol (http://ulcar.uml.edu/DIDBase/), remote read/write access from SAO Explorer workstations used for data visualization and interactive editing, and an ADRES subsystem for automated management of data requests. DIDBase and ADRES employ cross-platform solutions for all involved software, exchange protocols, and data. The paper briefly describes the DIDBase operations during a recent Cal/Val campaign for the SSUSI/SSULI instruments on the DMSP F16 spacecraft. Here 26 online digisondes provided ground-truth NmF2 data for the overhead and limb passes of the spacecraft. Since the start of the campaign in December 2003, the total number of the ADRES requests exceeded 9,000 by summer 2004.

  6. THE EVALUATION OF OBJECTIVES AND ACTIVITIES IN THE PRIMARY EDUCATION 5TH GRADE SCIENCE AND TECHNOLOGY CURRICULUM IN TERMS OF MULTIPLE INTELLIGENCE THEORY

    Directory of Open Access Journals (Sweden)

    Oğuz GÜRBÜZTÜRK

    2013-06-01

    Full Text Available The purpose of this study is to know the teachers’ opinions in terms of multiple intelligence theory about the objectives and activities in the units of “Earth, Sun and Moon” and the “Electricity in Our Life” in the primary education 5th grade science and technology curriculum. The survey model was used in this study. The population of this study consists of 262 5th grade teachers working in the center of Malatya. The sample consists of 190 5th grade teachers who were selected randomly. Questionnaire was used to collect data that are consisted of 70 items. Teachers are asked to select one dominant intelligence type for 65 objectives and activities. To analyze the data, the background information of teachers like seniority, graduated faculty, whether or not they had in-service education were compared to teachers opinions about which intelligence area is suitable with these objectives and activities and these comparison information was given and commented with frequencies, percentages and cross tabs. Given the results of this study, about evaluating the objectives and activities in these units, taking all activities in the teaching-learning process into consideration, it is discovered that, teachers generally focus on visual, spatial, logical and mathematical intelligence areas and they think in the same way regardless of their seniority, graduated faculty, and whether or not they had in-service education about teaching-learning theories and models. Some advices are given based on the results of this study.

  7. Robot technologies, autism and designs for learning

    DEFF Research Database (Denmark)

    Hansbøl, Mikala

    2015-01-01

    in the future, with a focus on children and young people diagnosed with autism spectrum disorders, their ICT interests and engagement in innovative and creative learning. The paper draws on international research and examples from the author’s own research into education for children and young people diagnosed...... technologies involves several very different educational approaches to supporting young people’s learning and development. The paper discusses how robot technologies as learning resources have been related to the field of autism and education, and argues for a need to further expand the areas of application...... with autism spectrum disorders, drawing on teachers’ and the students’ interests in working with ICT (e.g. robot technology)....

  8. Technology Enabled Learning –Survey

    Directory of Open Access Journals (Sweden)

    L. Venkateswara Reddy

    2016-12-01

    Full Text Available The rate at which the Information Technology (IT is growing today is evident from the fact that it has invaded almost every part of our life. Technological progress can be harnessed for augmenting both expansion as well as quality of education. Present endeavour in this direction has been mainly towards providing the infrastructure and network to the institutions of higher education. The digital resource development and utilizing the digital resource into quality certified programmers and courses need to be fully exploited by the universities. Research issues and challenges related to technology-enhanced learning are discussed for classroom learning at a distance, online learning, digital libraries, special collections and online resources, virtual laboratories, collaboration, and virtual environments. This paper presents a critical review of TEL.

  9. Intelligent Disease Self-Management with Mobile Technology

    NARCIS (Netherlands)

    Velikova, M.; Lucas, P.J.F.; Heijden, M. van der

    2015-01-01

    Cost-effective mobile healthcare must consider not only technological performance but also the division of responsibilities between the patient and care provider, the context of the patient’s condition, and ways to implement patient decision support and tailored interaction.

  10. Intelligent Disease Self-Management with Mobile Technology

    NARCIS (Netherlands)

    Velikova, M.; Lucas, P.J.F.; Heijden, M. van der

    2015-01-01

    Cost-effective mobile healthcare must consider not only technological performance but also the division of responsibilities between the patient and care provider, the context of the patient’s condition, and ways to implement patient decision support and tailored interaction.

  11. 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 inventory…

  12. Does Learning to Read Improve Intelligence? A Longitudinal Multivariate Analysis in Identical Twins from Age 7 to 16

    Science.gov (United States)

    Ritchie, Stuart J.; Bates, Timothy C.; Plomin, Robert

    2015-01-01

    Evidence from twin studies points to substantial environmental influences on intelligence, but the specifics of this influence are unclear. This study examined one developmental process that potentially causes intelligence differences: learning to read. In 1,890 twin pairs tested at 7, 9, 10, 12, and 16 years, a cross-lagged…

  13. Does Learning to Read Improve Intelligence? A Longitudinal Multivariate Analysis in Identical Twins from Age 7 to 16

    Science.gov (United States)

    Ritchie, Stuart J.; Bates, Timothy C.; Plomin, Robert

    2015-01-01

    Evidence from twin studies points to substantial environmental influences on intelligence, but the specifics of this influence are unclear. This study examined one developmental process that potentially causes intelligence differences: learning to read. In 1,890 twin pairs tested at 7, 9, 10, 12, and 16 years, a cross-lagged…

  14. An Empirical Examination of the Association between Multiple Intelligences and Language Learning Self-Efficacy among TEFL University Students

    Science.gov (United States)

    Moafian, Fatemeh; Ebrahimi, Mohammad Reza

    2015-01-01

    The current study investigated the association between multiple intelligences and language learning efficacy expectations among TEFL (Teaching English as a Foreign Language) university students. To fulfill the aim of the study, 108 junior and senior TEFL students were asked to complete the "Multiple Intelligence Developmental Assessment…

  15. 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…

  16. Control and learning for intelligent mobility of unmanned ground vehicles in complex terrains

    Science.gov (United States)

    Trentini, M.; Beckman, B.; Digney, B.

    2005-05-01

    The Autonomous Intelligent Systems program at Defence R&D Canada-Suffield envisions autonomous systems contributing to decisive operations in the urban battle space. Creating effective intelligence for these systems demands advances in perception, world representation, navigation, and learning. In the land environment, these scientific areas have garnered much attention, while largely ignoring the problem of locomotion in complex terrain. This is a gap in robotics research, where sophisticated algorithms are needed to coordinate and control robotic locomotion in unknown, highly complex environments. Unlike traditional control problems, intuitive and systematic control tools for robotic locomotion do not readily exist thus limiting their practical application. This paper addresses the mobility problem for unmanned ground vehicles, defined here as the autonomous maneuverability of unmanned ground vehicles in unknown, highly complex environments. It discusses the progress and future direction of intelligent mobility research at Defence R&D Canada-Suffield and presents the research tools, topics and plans to address this critical research gap.

  17. Sensorless speed control of switched reluctance motor using brain emotional learning based intelligent controller

    Energy Technology Data Exchange (ETDEWEB)

    Dehkordi, Behzad Mirzaeian, E-mail: mirzaeian@eng.ui.ac.i [Department of Electrical Engineering, Faculty of Engineering, University of Isfahan, Hezar-Jerib St., Postal code 8174673441, Isfahan (Iran, Islamic Republic of); Parsapoor, Amir, E-mail: amirparsapoor@yahoo.co [Department of Electrical Engineering, Faculty of Engineering, University of Isfahan, Hezar-Jerib St., Postal code 8174673441, Isfahan (Iran, Islamic Republic of); Moallem, Mehdi, E-mail: moallem@cc.iut.ac.i [Department of Electrical Engineering, Isfahan University of Technology, Isfahan (Iran, Islamic Republic of); Lucas, Caro, E-mail: lucas@ut.ac.i [Centre of Excellence for Control and Intelligent Processing, Electrical and Computer Engineering Faculty, College of Engineering, University of Tehran, Tehran (Iran, Islamic Republic of)

    2011-01-15

    In this paper, a brain emotional learning based intelligent controller (BELBIC) is developed to control the switched reluctance motor (SRM) speed. Like other intelligent controllers, BELBIC is model free and is suitable to control nonlinear systems. Motor parameter changes, operating point changes, measurement noise, open circuit fault in one phase and asymmetric phases in SRM are also simulated to show the robustness and superior performance of BELBIC. To compare the BELBIC performance with other intelligent controllers, Fuzzy Logic Controller (FLC) is developed. System responses with BELBIC and FLC are compared. Furthermore, by eliminating the position sensor, a method is introduced to estimate the rotor position. This method is based on Adaptive Neuro Fuzzy Inference System (ANFIS). The estimator inputs are four phase flux linkages. Suggested rotor position estimator is simulated in different conditions. Simulation results confirm the accurate rotor position estimation in different loads and speeds.

  18. An Intelligent Mediating Model for Collaborative e-Learning Management Systems

    Directory of Open Access Journals (Sweden)

    Akanbi Caleb Olufisoye

    2011-07-01

    Full Text Available E-learning management systems(e- LMSs lack ontologies for sharing their domain knowledge learning objects with others due to differences or non-uniformity in architectures, platforms, protocols and representations. The effect of this on e-learners is that collaboration with other e-LMS during learning processes is not permitted. Hence, learning process is restricted only to the knowledge base of a particular E-LMS adopted by an institution, which may limit the mastery level of learners. To provide a remedy to this problem, an intelligent multi-agent mediating system model is proposed in this study using hybrid rule and case based reasoning scheme. Unified Modeling Language(UML is used as a design tool to specify the active and passive entities of the model in form class The model proposed provides a collaborative platform for sharing of the learning objects across multiple e-LMSs, during learning processes.

  19. Using technology to support science inquiry learning

    Directory of Open Access Journals (Sweden)

    P John Williams

    2017-03-01

    Full Text Available This paper presents a case study of a teacher’s experience in implementing an inquiry approach to his teaching over a period of two years with two different classes. His focus was on using a range of information technologies to support student inquiry learning. The study demonstrates the need to consider the characteristics of students when implementing an inquiry approach, and also the influence of the teachers level of understanding and related confidence in such an approach. The case also indicated that a range of technologies can be effective in supporting student inquiry learning.

  20. Emerging Technologies for Autonomous Language Learning

    Directory of Open Access Journals (Sweden)

    Mark Warschauer

    2011-09-01

    Full Text Available Drawing on a lengthier review completed for the US National Institute for Literacy, this paper examines emerging technologies that are applicable to self-access and autonomous learning in the areas of listening and speaking, collaborative writing, reading and language structure, and online interaction. Digital media reviewed include podcasts, blogs, wikis, online writing sites, text-scaffolding software, concordancers, multiuser virtual environments, multiplayer games, and chatbots. For each of these technologies, we summarize recent research and discuss possible uses for autonomous language learning.

  1. Increased Technology Provision and Learning: Giving More for Nothing?

    Science.gov (United States)

    Quillerou, Emmanuelle

    2011-01-01

    The development of new communication technologies has led to a push for greater technology use for teaching and learning. This is most true for distance learning education, which relies heavily on new technologies. Distance learning students, however, seem to have very limited time available for studying and learning because of work and/or family…

  2. Learning about technology: Family vs. peer pairings

    Science.gov (United States)

    Heller, Patricia; Padilla, Michael; Hertel, Barbara; Olstad, Roger

    Recently a number of institutions have begun sponsoring nondeficit science and/or technology learning experiences for parents and their middle school-aged children which are intended to be enriching rather than remedial or compensatory in purpose. Very little research documenting the effects of parental involvement in the education of older children has been reported, however.The intent of this article was to present two studies designed to determine whether middle school-aged children's attitudes and content achievement are different when they take a technology course with their parents (parent-child treatment) or with their peers (child-child treatment). The first study focused on learning about communications technology (primarily telegraphs, telephones and radios); the second study focused on microcomputers.Results indicate that parents have little affect in helping their children learn the subject matter of technology courses. Likewise, parents do not affect children's attitudes toward computers. Both results were attenuated by the fact that the students in the studies were high achievers who were interested in and motivated to learn the subject matter, regardless of treatment. Significant differences were noted for computer literacy favoring the parent-child group, however. Parents also seemed to effect children's attitudes toward the subject matter of the courses.Further research needs to be done with less appealing course content or with less motivated students to fully determine the effect of parent-child and child groupings in science and technology courses.

  3. INTELLIGENT NETWORKS, SMART GRIDS CONCEPT, CRUCIAL TECHNOLOGIES FOR SUSTAINABLE DEVELOPMENT

    Directory of Open Access Journals (Sweden)

    Constantin RADU

    2011-05-01

    Full Text Available In this article is presented the concept of smart grids, a very important technology for sustainable development. In the context of globalization of the world lives in an increasingly complex security environment, with rapid changes, some obvious, others less obvious implications in the short, medium or long term, international, national, local and up to every citizen. All countries in the globalized world economy is facing energy problems in terms of climate change have intensified in the twentieth century.

  4. Simulation and New Learning Technologies.

    Science.gov (United States)

    Issenberg, S. Barry; Gordon, Michael S.; Gordon, David Lee; Safford, Robert E.; Hart, Ian R.

    2001-01-01

    In the future, virtual reality technology based initially on data from Visible Human Data sets will provide the majority of simulation-based training. Indicates that evidence-based outcomes must show these systems to be effective instruments for teaching and assessment, and medical educators must be willing to effect change in medical education to…

  5. STRATEGIC APPLICATIONS OF DISTANCE LEARNING TECHNOLOGIES

    Directory of Open Access Journals (Sweden)

    Reviewed by Yavuz AKBULUT

    2008-10-01

    Full Text Available The book is edited by Mahbubur Rahman Syed from Minnesota State University in Mankato, USA. It is published by Information Science Reference, which is an imprint of IGI Global, an international publishing company specialized in research publications inthe fields of technology, management and information science.The book is consisted of 354 pages covering 18 chapters. Topics covered can be listed as adaptive QOS, agent-based architecture, algorithm education, asynchronous learning environments, collaborative education model, distance learning, e-Learning, hypermedia,lecture video contents, lecture video player, multicast applications and SEAMAN .

  6. The evolving landscape of learning technology

    Directory of Open Access Journals (Sweden)

    Gráinne Conole

    2002-12-01

    Full Text Available This paper provides an overview of the current and emerging issues in learning technology research, concentrating on structural issues such as infrastructure, policy and organizational context. It updates the vision of technology outlined by Squires' (1999 concept of peripatetic electronic teachers (PETs where Information and Communication Technologies (ICT provide an enabling medium to allow teachers to act as freelance agents in a virtual world and reflects to what extent this vision has been realized The paper begins with a survey of some of the key areas of ICT development and provides a contextualizing framework for the area in terms of external agendas and policy drivers. It then focuses upon learning technology developments which have occurred in the last five years in the UK and offers a number of alternative taxonomies to describe this. The paper concludes with a discussion of the issues which arise from this work.

  7. Technology enhanced peer learning and peer assessment

    DEFF Research Database (Denmark)

    Henriksen, Christian Bugge; Bregnhøj, Henrik; Rosthøj, Susanne

    2016-01-01

    This paper explores the application of learning designs featuring formalised and structured technology enhanced peer learning. These include student produced learning elements, peer review discussions and peer assessment in the BSc/MSc level summer course Restoration of European Ecosystems...... and Freshwaters (REEF), the Master thesis preparation seminars for the Master of Public Health (MPH) and the MOOC course Global Environmental Management (GEM). The application of student produced learning elements and peer review discussions is investigated by analyzing quotes from course evaluations...... and performing focus group interviews. The application of peer assessment is investigated by analyzing the agreement of peer assessment between students assessing the same assignment. Our analyses confirm previous research on the value of peer learning and peer assessment and we argue that there could also...

  8. Data Mining and Information Technology: Its Impact on Intelligence Collection and Privacy Rights

    Science.gov (United States)

    2007-11-26

    Modern Information Technology (IT) has radically magnified the capability and power of data mining . At a time when the threat environment has shifted...in emphasis to COIN, terrorism, and cyber war, IT-enhanced data mining capabilities could provide some of the critical intelligence demanded by these...threatened. This paper establishes the intersection between the capability and need for data mining and the suitability of existing policy to enable its

  9. 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…

  10. Bayesian artificial intelligence

    CERN Document Server

    Korb, Kevin B

    2003-01-01

    As the power of Bayesian techniques has become more fully realized, the field of artificial intelligence has embraced Bayesian methodology and integrated it to the point where an introduction to Bayesian techniques is now a core course in many computer science programs. Unlike other books on the subject, Bayesian Artificial Intelligence keeps mathematical detail to a minimum and covers a broad range of topics. The authors integrate all of Bayesian net technology and learning Bayesian net technology and apply them both to knowledge engineering. They emphasize understanding and intuition but also provide the algorithms and technical background needed for applications. Software, exercises, and solutions are available on the authors' website.

  11. A Multi-Agent Framework for Coordination of Intelligent Assistive Technologies

    DEFF Research Database (Denmark)

    Valente, Pedro Ricardo da Nova; Hossain, S.; Groenbaek, B.

    2010-01-01

    Intelligent care for the future is the IntelliCare project's main priority. This paper describes the design of a generic multi-agent framework for coordination of intelligent assistive technologies. The paper overviews technologies and software systems suitable for context awareness and housekeep...... an indoor localization system, is it possible to compare with real robot positions. From this, we can make some platform assumptions regarding heterogeneous robot cooperation, by thinking further i.e. sharing workspace with humans....... indoor localization system for real-time localization. We conducted an experiment in two steps: first, creating and testing interaction interfaces with and between robotic systems, and secondly, wrapping all in a multi-agent system, defining a vacuuming-cleaning ontology. With the pose data from...... and housekeeping tasks, especially for performing a multi-robot cleaning-task activity. It also describes conducted work in the design of a multi-agent platform for coordination of intelligent assistive technologies. Instead of using traditional robot odometry estimation methods, we have tested an independent...

  12. Recent Technological Advances in Natural Language Processing and Artificial Intelligence

    OpenAIRE

    Shah, Nishal Pradeepkumar

    2012-01-01

    A recent advance in computer technology has permitted scientists to implement and test algorithms that were known from quite some time (or not) but which were computationally expensive. Two such projects are IBM's Jeopardy as a part of its DeepQA project [1] and Wolfram's Wolframalpha[2]. Both these methods implement natural language processing (another goal of AI scientists) and try to answer questions as asked by the user. Though the goal of the two projects is similar, both of them have a ...

  13. Written evidence submitted to the UK Parliamentary Select Committee on Science and Technology Inquiry on Robotics and Artificial Intelligence

    OpenAIRE

    Winfield, A. F.

    2016-01-01

    This paper was submitted in response to question 4 of the Parliamentary Science and Technology Committee Inquiry on Robotics and Artificial Intelligence* on: 'The social, legal and ethical issues raised by developments in robotics and artificial intelligence technologies, and how they should be addressed'. The paper was drafted at the request of EPSRC and the UK Robotics and Autonomous Systems (RAS) Network, and an abridged version is incorporated into the UK RAS response to the inquiry.\\ud \\...

  14. Head size and intelligence, learning, nutritional status and brain development. Head, IQ, learning, nutrition and brain.

    Science.gov (United States)

    Ivanovic, Daniza M; Leiva, Boris P; Pérez, Hernán T; Olivares, Manuel G; Díaz, Nora S; Urrutia, María Soledad C; Almagià, Atilio F; Toro, Triana D; Miller, Patricio T; Bosch, Enrique O; Larraín, Cristián G

    2004-01-01

    This multifactorial study investigates the interrelationships between head circumference (HC) and intellectual quotient (IQ), learning, nutritional status and brain development in Chilean school-age children graduating from high school, of both sexes and with high and low IQ and socio-economic strata (SES). The sample consisted of 96 right-handed healthy students (mean age 18.0 +/- 0.9 years) born at term. HC was measured both in the children and their parents and was expressed as Z-score (Z-HC). In children, IQ was determined by means of the Wechsler Intelligence Scale for Adults-Revised (WAIS-R), scholastic achievement (SA) through the standard Spanish language and mathematics tests and the academic aptitude test (AAT) score, nutritional status was assessed through anthropometric indicators, brain development was determined by magnetic resonance imaging (MRI) and SES applying the Graffar modified method. Results showed that microcephalic children (Z-HC 2S.D.). Multiple regression analysis revealed that BV, parental Z-HC and BL were the independent variables with the greatest explanatory power for child's Z-HC variance (r(2) = 0.727). These findings confirm the hypothesis formulated in this study: (1) independently of age, sex and SES, brain parameters, parental HC and prenatal nutritional indicators are the most important independent variables that determine HC and (2) microcephalic children present multiple disorders not only related to BV but also to IQ, SA and nutritional background.

  15. ANALYSIS AND CONCEPTION DEVELOPMENT OF INFORMATION DEFENSE CID AND CLOUD PLATFORM ON THE BASE OF INTELLIGENCE TECHNOLOGIES

    Directory of Open Access Journals (Sweden)

    V. A. Vishniakov

    2014-01-01

    Full Text Available Two problems the use of intelligence technologies in information defense (ITID – creating specialized knowledge bases with threats simulation and high the security level in corporative nets and cloud computing are presented. The analysis of t wo directions of the second ITID problem: the intelligence decision support systems and the malt y-agent system use are given. As trends and conception development of intelligence technologies are the perfection of methods. models, architectures, and hard-sot ware tools for ITID in corporative systems and cloud computing.

  16. Deep Learning for Intelligent Substation Device Infrared Fault Image Analysis

    Directory of Open Access Journals (Sweden)

    Lin Ying

    2016-01-01

    Full Text Available As an important kind of data for device status evaluation, the increasing infrared image data in electrical system puts forward a new challenge to traditional manually processing mode. To overcome this problem, this paper proposes a feasible way to automatically process massive infrared fault images. We take advantage of the imaging characteristics of infrared fault images and detect fault regions together with its belonging device part by our proposed algorithm, which first segment images into superpixels, and then adopt the state-of-the-art convolutional and recursive neural network for intelligent object recognition. In the experiment, we compare several unsupervised pre-training methods considering the importance of a pre-train procedure, and discuss the proper parameters for the proposed network. The experimental results show the good performance of our algorithm, and its efficiency for infrared analysis.

  17. Emotional Intelligence as a Predictor of Success in Online Learning

    Directory of Open Access Journals (Sweden)

    Gary Boyles

    2008-06-01

    Full Text Available As students increasingly opt for online classes, it becomes more important for administrators to predict levels of potential academic success. This study examined the intrinsic factors of emotional intelligence (EI and personality to determine the extent to which they predict grade point average (GPA, a measure of academic success, among students attending community college. Stepwise multiple regression revealed that EI emerged as the most significant direct predictor of GPA. The addition of personality to EI significantly increased the amount of variance accounted for in GPA. Main conclusions are that soft skills are pertinent to academic success and may constitute a useful profile of the successful online student that could be applied to marketing, advisement, quality assessment, and retention efforts.

  18. Enabling learning through technology: some institutional imperatives

    Directory of Open Access Journals (Sweden)

    Audrey McCartan

    1995-12-01

    Full Text Available The imminent completion of many Teaching and Learning Technology Programme (TLTP projects means that a considerable number of courseware deliverables will soon be available to Higher-Education (HE institutions. The Higher Education Funding Council's intention in funding the Programme (HEFCE Circulars, 8/92, 13/93 was to ensure their integration into academic curricula by providing institutions with an opportunity to review their 'teaching and learning culture' with regard to the embedding of learning technology within their institutional practice. Two recent workshops, conducted with a representative sample of newly appointed academic staff in connection with the evaluation of materials to be included in a staff development pack whose purpose is to encourage the use of IT in teaching and learning (TLTP Project 7, strongly suggested that the availability of courseware alone was insufficient to ensure its integration into educational practice. The establishment of enabling mechanisms at the institutional level, as well as within departments, was crucial to ensure the effective use of learning technology.

  19. Learning Approach and Learning: Exploring a New Technological Learning System

    Science.gov (United States)

    Aflalo, Ester; Gabay, Eyal

    2013-01-01

    This study furthers the understanding of the connections between learning approaches and learning. The research population embraced 44 males from the Jewish ultraorthodox community, who abide by distinct methods of study. One group follows the very didactic, linear and structured approach of a methodical and gradual order, while the second group…

  20. Assessment and Learning Technologies: An Overview

    Science.gov (United States)

    Farrell, Treasa; Rushby, Nick

    2016-01-01

    Assessment pervades the learning process. This paper provides an overview of the application of technology to support and enhance diagnostic, formative and summative assessment. The focus is on examining how it can replace what already exists, improve the functionality, catalyse a redesign of the process and in some circumstances, make possible…

  1. Using Technology to Support Science Inquiry Learning

    Science.gov (United States)

    Williams, P. John; Nguyen, Nhung; Mangan, Jenny

    2017-01-01

    This paper presents a case study of a teacher's experience in implementing an inquiry approach to his teaching over a period of two years with two different classes. His focus was on using a range of information technologies to support student inquiry learning. Data was collected over the two year period by observation, interview and student work…

  2. Mobile technology: lessons learned along the way.

    Science.gov (United States)

    Beard, Kenya V; Greenfield, Sue; Morote, Elsa-Sophia; Walter, Richard

    2011-01-01

    Although mobile technology has the potential to promote patient safety by increasing accuracy and efficiency, faculty may find instituting a personal digital assistant (PDA) program overwhelming. In addition, there is a dearth of information on how students are using this technology. The authors discuss the implementation of a PDA program that required all nursing students entering their first clinical rotation to purchase a PDA loaded with nursing software and describe how the students used this technology. Lessons learned along the way are emphasized to help faculty develop, implement, and/or improve their school's PDA/software program.

  3. Advanced Technologies for Intelligent Systems of National Border Security

    CERN Document Server

    Simek, Krzysztof; Świerniak, Andrzej

    2013-01-01

    One of the world’s leading problems in the field of national security is protection of borders and borderlands. This book addresses multiple issues on advanced innovative methods of multi-level control of both ground (UGVs) and aerial drones (UAVs). Those objects combined with innovative algorithms become autonomous objects capable of patrolling chosen borderland areas by themselves and automatically inform the operator of the system about potential place of detection of a specific incident. This is achieved by using sophisticated methods of generation of non-collision trajectory for those types of objects and enabling automatic integration of both ground and aerial unmanned vehicles. The topics included in this book also cover presentation of complete information and communication technology (ICT) systems capable of control, observation and detection of various types of incidents and threats. This book is a valuable source of information for constructors and developers of such solutions for uniformed servi...

  4. Zigbee Technology in Intelligent Electric Leakage Protection System Applied Research

    Directory of Open Access Journals (Sweden)

    Deng Lei-lei

    2013-08-01

    Full Text Available Aiming at inconvenient wiring and low flexibility of current wired sensor network,An implementation method for real-time monitoring system based on ZigBee wireless network is proposed in this paper. in view of existing selective earth leakage protection device of low sensitivity, poor reliability problems, proposed one kind based on the zero sequence current feature selectionSelective leakage protection and line selection method; analysis of power supply system leakage fault branch of zero-sequence current logical relations, introduced based on the zero sequence current featuresVolume selective leakage protection principle and the realization method of fault line selection.As a Zigbee wireless sensor technology, Its application to the grid. Analyze leakage protection system in relation to the past system of superior performance and favorable conditions, And its features and system design of a simple program to explain the analysis and application of specific measures.  

  5. Supporting Collective Inquiry: A Technology Framework for Distributed Learning

    Science.gov (United States)

    Tissenbaum, Michael

    This design-based study describes the implementation and evaluation of a technology framework to support smart classrooms and Distributed Technology Enhanced Learning (DTEL) called SAIL Smart Space (S3). S3 is an open-source technology framework designed to support students engaged in inquiry investigations as a knowledge community. To evaluate the effectiveness of S3 as a generalizable technology framework, a curriculum named PLACE (Physics Learning Across Contexts and Environments) was developed to support two grade-11 physics classes (n = 22; n = 23) engaged in a multi-context inquiry curriculum based on the Knowledge Community and Inquiry (KCI) pedagogical model. This dissertation outlines three initial design studies that established a set of design principles for DTEL curricula, and related technology infrastructures. These principles guided the development of PLACE, a twelve-week inquiry curriculum in which students drew upon their community-generated knowledge base as a source of evidence for solving ill-structured physics problems based on the physics of Hollywood movies. During the culminating smart classroom activity, the S3 framework played a central role in orchestrating student activities, including managing the flow of materials and students using real-time data mining and intelligent agents that responded to emergent class patterns. S3 supported students' construction of knowledge through the use individual, collective and collaborative scripts and technologies, including tablets and interactive large-format displays. Aggregate and real-time ambient visualizations helped the teacher act as a wondering facilitator, supporting students in their inquiry where needed. A teacher orchestration tablet gave the teacher some control over the flow of the scripted activities, and alerted him to critical moments for intervention. Analysis focuses on S3's effectiveness in supporting students' inquiry across multiple learning contexts and scales of time, and in

  6. Learning by Playing with Digital Technology

    DEFF Research Database (Denmark)

    Benjaminsen, Nana

    2006-01-01

    Construction Games in Schools. The project is an exploration of how elements of play can be integrated in a technology-based learning environment. I will use examples of empirical data gathered during spring 2006 to demonstrate that play can function as a useful learning strategy, and also point out barriers...... strategy might lead to changes on three interrelated levels: the teaching material, the educational context (i.e. teaching style, use of the physical facilities and schools organisational structure) and the cultural-historical way schools function within Danish in society.......This paper presupposes the notion that there is potential for the integration of play into primary and secondary school activities, because it can stimulate and support the formal as well as informal learning that takes place in school. Digital technology could be a driver for this integration...

  7. Readiness of Adults to Learn Using E-Learning, M-Learning and T-Learning Technologies

    Science.gov (United States)

    Vilkonis, Rytis; Bakanoviene, Tatjana; Turskiene, Sigita

    2013-01-01

    The article presents results of the empirical research revealing readiness of adults to participate in the lifelong learning process using e-learning, m-learning and t-learning technologies. The research has been carried out in the framework of the international project eBig3 aiming at development a new distance learning platform blending virtual…

  8. Unmanned Ground Vehicle Navigation Using Brain Emotional Learning Based Intelligent Controller (BELBIC

    Directory of Open Access Journals (Sweden)

    Alvaro Vargas-Clara

    2015-02-01

    Full Text Available In this paper, we implement a novel control strategy for navigation of an Unmanned Ground Vehicle (UGV. This strategy consisted in the development and implementation of the Brain Emotional Learning Based Intelligent Controller (BELBIC for heading, and path control of a UGV. BELBIC is an intelligent controller based on the model of the Amygdala-Orbitofrontal system of mammalians, which is a region in the brain known to be responsible for emotional learning process. Simulation of this controller for the cases of heading, and path control showed to be very robust and adaptable to dynamical changes in the plant. A comparison between BELBIC and a traditional PID control is presented to illustrate the performance of this control strategy.

  9. From curve fitting to machine learning an illustrative guide to scientific data analysis and computational intelligence

    CERN Document Server

    Zielesny, Achim

    2016-01-01

    This successful book provides in its second edition an interactive and illustrative guide from two-dimensional curve fitting to multidimensional clustering and machine learning with neural networks or support vector machines. Along the way topics like mathematical optimization or evolutionary algorithms are touched. All concepts and ideas are outlined in a clear cut manner with graphically depicted plausibility arguments and a little elementary mathematics. The major topics are extensively outlined with exploratory examples and applications. The primary goal is to be as illustrative as possible without hiding problems and pitfalls but to address them. The character of an illustrative cookbook is complemented with specific sections that address more fundamental questions like the relation between machine learning and human intelligence. All topics are completely demonstrated with the computing platform Mathematica and the Computational Intelligence Packages (CIP), a high-level function library developed with M...

  10. Intelligence, integration & industrialisation for the building services technologies of the future

    DEFF Research Database (Denmark)

    Marsh, Rob

    2007-01-01

    The hypothesis of this paper is that the construction sector's industrial transformation needs to focus on integrating building services technologies in the buildings of the future. This can be achieved by analysing developments in intelligent building services, exploring design strategies...... for effectively integrating building services, and by developing new industrialised solutions for building services technologies. This paper is based on current Danish research and practice, and it is based on linking research knowledge on building services to knowledge on user needs, building design and new...

  11. State of the Art Review for Applying Computational Intelligence and Machine Learning Techniques to Portfolio Optimisation

    CERN Document Server

    Hurwitz, Evan

    2009-01-01

    Computational techniques have shown much promise in the field of Finance, owing to their ability to extract sense out of dauntingly complex systems. This paper reviews the most promising of these techniques, from traditional computational intelligence methods to their machine learning siblings, with particular view to their application in optimising the management of a portfolio of financial instruments. The current state of the art is assessed, and prospective further work is assessed and recommended

  12. Intelligent Traffic Information System Based on Integration of Internet of Things and Agent Technology

    Directory of Open Access Journals (Sweden)

    Hasan Omar Al-Sakran

    2015-02-01

    Full Text Available In recent years popularity of private cars is getting urban traffic more and more crowded. As result traffic is becoming one of important problems in big cities in all over the world. Some of the traffic concerns are congestions and accidents which have caused a huge waste of time, property damage and environmental pollution. This research paper presents a novel intelligent traffic administration system, based on Internet of Things, which is featured by low cost, high scalability, high compatibility, easy to upgrade, to replace traditional traffic management system and the proposed system can improve road traffic tremendously. The Internet of Things is based on the Internet, network wireless sensing and detection technologies to realize the intelligent recognition on the tagged traffic object, tracking, monitoring, managing and processed automatically. The paper proposes an architecture that integrates internet of things with agent technology into a single platform where the agent technology handles effective communication and interfaces among a large number of heterogeneous highly distributed, and decentralized devices within the IoT. The architecture introduces the use of an active radio-frequency identification (RFID, wireless sensor technologies, object ad-hoc networking, and Internet-based information systems in which tagged traffic objects can be automatically represented, tracked, and queried over a network. This research presents an overview of a framework distributed traffic simulation model within NetLogo, an agent-based environment, for IoT traffic monitoring system using mobile agent technology.

  13. Exploring Mobile Technologies for Learning Chinese

    Directory of Open Access Journals (Sweden)

    Jing Wang

    2012-08-01

    Full Text Available The present study aimed to reveal how learners of Chinese as a foreign language use mobile technology to study Chinese outside the classroom. Researchers used sociocultural perspectives to frame the study and grounded theory to analyze data. Eleven English-speaking students who had learned Chinese for different years at a midwestern university participated in the study. They answered 23 major questions by submitting journal entries and participating in an interview. Compared with computer assisted language learning, mobile devices bring changes to tutorial functions, social computing, and gaming. Participants heavily explored tutorial functions, used mobile devices differently from computers for social computing, and showed interest in gaming. Although participants were enthusiastic about using mobile devices to learn Chinese, the number of applications they used and the variety of activities they engaged in were limited. Findings suggest that the effective incorporation of mobile devices to learn Chinese depends on collaboration and scaffolding

  14. Applied Computational Intelligence in Engineering and Information Technology Revised and Selected Papers from the 6th IEEE International Symposium on Applied Computational Intelligence and Informatics SACI 2011

    CERN Document Server

    Precup, Radu-Emil; Preitl, Stefan

    2012-01-01

    This book highlights the potential of getting benefits from various applications of computational intelligence techniques. The present book is structured such that to include a set of selected and extended papers from the 6th IEEE International Symposium on Applied Computational Intelligence and Informatics SACI 2011, held in Timisoara, Romania, from 19 to 21 May 2011. After a serious paper review performed by the Technical Program Committee only 116 submissions were accepted, leading to a paper acceptance ratio of 65 %. A further refinement was made after the symposium, based also on the assessment of the presentation quality. Concluding, this book includes the extended and revised versions of the very best papers of SACI 2011 and few invited papers authored by prominent specialists. The readers will benefit from gaining knowledge of the computational intelligence and on what problems can be solved in several areas; they will learn what kind of approaches is advised to use in order to solve these problems. A...

  15. Competitive intelligence information management and innovation in small technology-based companies

    Science.gov (United States)

    Tanev, Stoyan

    2007-05-01

    In this article we examine how (i) company type and (ii) the competitive intelligence information used by small technology-based companies affect their innovation performance. The focus is on the specific information types used and not on the information sources. Information topics are classified in four groups - customers (10), company (9), competitor (11) and industry (12). The sample consists of 45 small new technology-based companies, specialized suppliers, and service companies from a variety of sectors - software, photonics, telecommunications, biomedical engineering and biotech, traditional manufacturing etc. The results suggest that the total number of intelligence information topics companies use to make decisions about innovation is not associated with the number of their new products, processes, services and patents. Therefore the companies in our sample do not seem to have the resources, processes or value systems required to use different competitive intelligence information when making decisions on innovation or may rely more on their own internal logic than on external information. Companies are classified using a Pavitt-like taxonomy. Service companies are considered as a separate company type. This allows for explicitly studying both, the innovative role of new services in product driven companies, and the role of new product development in service companies.

  16. Learning through social interaction in game technology.

    Energy Technology Data Exchange (ETDEWEB)

    Waern, Annika (Swedish Institute of Computer Science, Kista, Sweden); Raybourn, Elaine Marie

    2005-05-01

    The present ITSE journal special issue on 'Learning About Social Interaction through Gaming' is the result of an invitation to the attendees of a one-day workshop on 'Social Learning Through Gaming' co-organized by the guest editors and held at the Human Factors in Computing Systems (CHI) conference on April 26, 2004 in Vienna, Austria. CHI is one of the premiere conferences on human-computer interaction. CHI 2004 attracted hundreds of delegates from all over the world. The CHI workshop program results from a competitive selection process. The Social Learning through Gaming workshop was filled to capacity and attended by approximately 25 participants from Europe and North America who submitted position papers that were refereed and selected for participation based on the relevancy and innovativeness of the research. The participants came together to share research on play, learning, games, interactive technologies, and what playing and designing games can teach us about social behaviors. The present special issue focuses on learning about social aspects through gaming: learning to socialize through games and learning games through social behavior.

  17. Europe, Middle East and North Africa Conference on Technology and Security to Support Learning 2016

    CERN Document Server

    Serrhini, Mohammed; Felgueiras, Carlos

    2017-01-01

    This book contains a selection of articles from The Europe, Middle East and North Africa Conference on Technology and Security to Support Learning 2016 (EMENA-TSSL'16), held between the 3th and 5th of October at Saidia, Oujda, Morocco. EMENA-TSSL'16 is a global forum for researchers and practitioners to present and discuss recent results and innovations, current trends, professional experiences and challenges in Information & Communication Technologies, and Security to support Learning. The main topics covered are: A) Online Education; B) Emerging Technologies in Education; C) Artificial Intelligence in Education; D) Gamification and Serious games; E) Network & Web Technologies Applications; F) Online experimentation and Virtual Laboratories; G) Multimedia Systems and Applications; H) Security and Privacy; I) Multimedia, Computer Vision and Image Processing; J) Cloud, Big Data Analytics and Applications; K) Human-Computer Interaction; L) Software Systems, Architectures, Applications and Tools; M) Onli...

  18. Diagnosing Learning Disabilities in a Special Education By an Intelligent Agent Based System

    Directory of Open Access Journals (Sweden)

    Khaled Nasser elSayed

    2013-04-01

    Full Text Available The presented paper provides an intelligent agent based classification system for diagnosing and evaluation of learning disabilities with special education students. It provides pedagogy psychology profiles for those students and offer solution strategies with the best educational activities. It provides tools that allow class teachers to discuss psycho functions and basic skills for learning skills, then, performs psycho pedagogy evaluation by comprising a series of strategies in a semantic network knowledge base. The system’s agent performs its classification of student’s disabilities based on its past experience that it got from the exemplars that were classified by expert and acquired in its knowledge base

  19. Emotional Intelligence and Collaborative Learning in Adult Education

    Science.gov (United States)

    Martinez, Luz M.

    2011-01-01

    The changing social and economic reality of our world continues to shape how learning is conducted and acquired in the adult classroom and beyond. Given the pivotal importance for an adult to develop a variety of cognitive and emotional skills and given the need to work in collaboration with others, within educational environments and the…

  20. Cognitive-Operative Model of Intelligent Learning Systems Behavior

    Science.gov (United States)

    Laureano-Cruces, Ana Lilia; Ramirez-Rodriguez, Javier; Mora-Torres, Martha; de Arriaga, Fernando; Escarela-Perez, Rafael

    2010-01-01

    In this paper behavior during the teaching-learning process is modeled by means of a fuzzy cognitive map. The elements used to model such behavior are part of a generic didactic model, which emphasizes the use of cognitive and operative strategies as part of the student-tutor interaction. Examples of possible initial scenarios for the…

  1. Intelligent Assistance for Teachers in Collaborative E-Learning Environments

    Science.gov (United States)

    Casamayor, Agustin; Amandi, Analia; Campo, Marcelo

    2009-01-01

    Collaborative learning environments provide a set of tools for students acting in groups to interact and accomplish an assigned task. In this kind of systems, students are free to express and communicate with each other, which usually lead to collaboration and communication problems that may require the intervention of a teacher. In this article,…

  2. Cognitive-Operative Model of Intelligent Learning Systems Behavior

    Science.gov (United States)

    Laureano-Cruces, Ana Lilia; Ramirez-Rodriguez, Javier; Mora-Torres, Martha; de Arriaga, Fernando; Escarela-Perez, Rafael

    2010-01-01

    In this paper behavior during the teaching-learning process is modeled by means of a fuzzy cognitive map. The elements used to model such behavior are part of a generic didactic model, which emphasizes the use of cognitive and operative strategies as part of the student-tutor interaction. Examples of possible initial scenarios for the…

  3. Workshop on Learning Technology for Education in Cloud

    CERN Document Server

    Rodríguez, Emilio; Santana, Juan; Prieta, Fernando

    2012-01-01

    Learning Technology for Education in Cloud investigates how cloud computing can be used to design applications to support real time on demand learning using technologies. The workshop proceedings provide opportunities for delegates to discuss the latest research in TEL (Technology Enhanced Learning) and its impacts for learners and institutions, using cloud.   The Workshop on Learning Technology for Education in Cloud (LTEC '12) is a forum where researchers, educators and practitioners came together to discuss ideas, projects and lessons learned related to the use of learning technology in cloud, on the 11th-13th July at Salamanca in Spain.

  4. Applying artificial intelligence technology to support decision-making in nursing: A case study in Taiwan.

    Science.gov (United States)

    Liao, Pei-Hung; Hsu, Pei-Ti; Chu, William; Chu, Woei-Chyn

    2015-06-01

    This study applied artificial intelligence to help nurses address problems and receive instructions through information technology. Nurses make diagnoses according to professional knowledge, clinical experience, and even instinct. Without comprehensive knowledge and thinking, diagnostic accuracy can be compromised and decisions may be delayed. We used a back-propagation neural network and other tools for data mining and statistical analysis. We further compared the prediction accuracy of the previous methods with an adaptive-network-based fuzzy inference system and the back-propagation neural network, identifying differences in the questions and in nurse satisfaction levels before and after using the nursing information system. This study investigated the use of artificial intelligence to generate nursing diagnoses. The percentage of agreement between diagnoses suggested by the information system and those made by nurses was as much as 87 percent. When patients are hospitalized, we can calculate the probability of various nursing diagnoses based on certain characteristics. © The Author(s) 2013.

  5. The Prediction of Students' Academic Performance With Fluid Intelligence in Giving Special Consideration to the Contribution of Learning.

    Science.gov (United States)

    Ren, Xuezhu; Schweizer, Karl; Wang, Tengfei; Xu, Fen

    2015-01-01

    The present study provides a new account of how fluid intelligence influences academic performance. In this account a complex learning component of fluid intelligence tests is proposed to play a major role in predicting academic performance. A sample of 2, 277 secondary school students completed two reasoning tests that were assumed to represent fluid intelligence and standardized math and verbal tests assessing academic performance. The fluid intelligence data were decomposed into a learning component that was associated with the position effect of intelligence items and a constant component that was independent of the position effect. Results showed that the learning component contributed significantly more to the prediction of math and verbal performance than the constant component. The link from the learning component to math performance was especially strong. These results indicated that fluid intelligence, which has so far been considered as homogeneous, could be decomposed in such a way that the resulting components showed different properties and contributed differently to the prediction of academic performance. Furthermore, the results were in line with the expectation that learning was a predictor of performance in school.

  6. Utilizing semantic Wiki technology for intelligence analysis at the tactical edge

    Science.gov (United States)

    Little, Eric

    2014-05-01

    Challenges exist for intelligence analysts to efficiently and accurately process large amounts of data collected from a myriad of available data sources. These challenges are even more evident for analysts who must operate within small military units at the tactical edge. In such environments, decisions must be made quickly without guaranteed access to the kinds of large-scale data sources available to analysts working at intelligence agencies. Improved technologies must be provided to analysts at the tactical edge to make informed, reliable decisions, since this is often a critical collection point for important intelligence data. To aid tactical edge users, new types of intelligent, automated technology interfaces are required to allow them to rapidly explore information associated with the intersection of hard and soft data fusion, such as multi-INT signals, semantic models, social network data, and natural language processing of text. Abilities to fuse these types of data is paramount to providing decision superiority. For these types of applications, we have developed BLADE. BLADE allows users to dynamically add, delete and link data via a semantic wiki, allowing for improved interaction between different users. Analysts can see information updates in near-real-time due to a common underlying set of semantic models operating within a triple store that allows for updates on related data points from independent users tracking different items (persons, events, locations, organizations, etc.). The wiki can capture pictures, videos and related information. New information added directly to pages is automatically updated in the triple store and its provenance and pedigree is tracked over time, making that data more trustworthy and easily integrated with other users' pages.

  7. Distributed Collaborative Learning Communities Enabled by Information Communication Technology

    NARCIS (Netherlands)

    H.L. Alvarez (Heidi Lee)

    2006-01-01

    textabstractHow and why can Information Communication Technology (ICT) contribute to enhancing learning in distributed Collaborative Learning Communities (CLCs)? Drawing from relevant theories concerned with phenomenon of ICT enabled distributed collaborative learning, this book identifies gaps in

  8. Theories of Learning and Computer-Mediated Instructional Technologies.

    Science.gov (United States)

    Hung, David

    2001-01-01

    Describes four major models of learning: behaviorism, cognitivism, constructivism, and social constructivism. Discusses situated cognition; differences between learning theories and instructional approaches; and how computer-mediated technologies can be integrated with learning theories. (LRW)

  9. Theories of Learning and Computer-Mediated Instructional Technologies.

    Science.gov (United States)

    Hung, David

    2001-01-01

    Describes four major models of learning: behaviorism, cognitivism, constructivism, and social constructivism. Discusses situated cognition; differences between learning theories and instructional approaches; and how computer-mediated technologies can be integrated with learning theories. (LRW)

  10. Simulating Interactive Learning Scenarios with Intelligent Pedagogical Agents in a Virtual World through BDI-Based Agents

    Directory of Open Access Journals (Sweden)

    Mohamed Soliman

    2013-04-01

    Full Text Available Intelligent Pedagogical Agents (IPAs are designed for pedagogical purposes to support learning in 3D virtual learning environments. Several benefits of IPAs have been found adding to support learning effectiveness. Pedagogical agents can be thought of as a central point of interaction between the learner and the learning environment. And hence, the intelligent behavior and functional richness of pedagogical agents have the potential to reward back into increased engagement and learning effectiveness. However, the realization of those agents remains to be a challenge based on intelligent agents in virtual worlds. This paper reports the challenging reasons and most importantly an approach for simplification. A simulation based on BDI agents is introduced opening the road for several extensions and experimentation before implementation of IPAs in a virtual world can take place. The simulation provides a proof-of concept based on three intelligent agents to represent an IPA, a learner, and learning object implemented in JACK and Jadex intelligent agent platforms. To that end, the paper exhibits the difficulties, resolutions, and decisions made when designing and implementing the learning scenario in both domains of the virtual world and the agent-based simulation while comparing the two agent platforms.

  11. Learning technology and organisations: transformational impact?

    Directory of Open Access Journals (Sweden)

    Martin Hall

    2010-12-01

    Full Text Available This collection of papers contributes to a wide and ongoing strand of interest in alternative learning technologies: how are digitally-enabled ways of working transforming organisations? In ‘transformation' we look for radical change, rather than just doing the same at a different scale. And in organisations we centre on educational institutions – across the full range of schooling, training, further and higher education – while recognising that conventional boundaries are increasingly broken as different kinds of organisations invest in digitally-enabled learning.

  12. Autonomous Rolling Method of Intelligent Wheel Chair Using the Teaching and Q-learning

    Science.gov (United States)

    Abe, Hideki; Hamagami, Tomoki; Koakutsu, Seiichi; Hirata, Hironori

    In this paper, we propose an autonomous rolling method of intelligent wheel chair (IWC) using the teaching and Q-learning. In the proposed method, first, IWC learns a run path. Next, IWC corrects a position gap around the teaching point by using Q-learning. When detection of the teaching point goes wrong by the noise to motors, IWC cannot reach to the destination. The proposed method is applied to the task which runs a passage, and the simulation results show that IWC repeats a cutback and corrects a position gap. Furthermore, the simulation results show that IWC corrects a position gap more certainly by using the data learned in the environment with the noise to motors.

  13. Integrating Symbolic and Statistical Methods for Testing Intelligent Systems Applications to Machine Learning and Computer Vision

    Energy Technology Data Exchange (ETDEWEB)

    Jha, Sumit Kumar [University of Central Florida, Orlando; Pullum, Laura L [ORNL; Ramanathan, Arvind [ORNL

    2016-01-01

    Embedded intelligent systems ranging from tiny im- plantable biomedical devices to large swarms of autonomous un- manned aerial systems are becoming pervasive in our daily lives. While we depend on the flawless functioning of such intelligent systems, and often take their behavioral correctness and safety for granted, it is notoriously difficult to generate test cases that expose subtle errors in the implementations of machine learning algorithms. Hence, the validation of intelligent systems is usually achieved by studying their behavior on representative data sets, using methods such as cross-validation and bootstrapping.In this paper, we present a new testing methodology for studying the correctness of intelligent systems. Our approach uses symbolic decision procedures coupled with statistical hypothesis testing to. We also use our algorithm to analyze the robustness of a human detection algorithm built using the OpenCV open-source computer vision library. We show that the human detection implementation can fail to detect humans in perturbed video frames even when the perturbations are so small that the corresponding frames look identical to the naked eye.

  14. Prospective Mathematics Teachers' Attitudes Towards Learning Mathematics with Technology

    Science.gov (United States)

    Ipek, A. Sabri; Berigel, Muhammed; Albayrak, Mustafa

    2007-01-01

    Role of technology which is an important tool for new approaches in learning mathematics is rapidly increasing at focus point of learning mathematics with new designs. One of the biggest factors at learning and instructing technology based mathematic education is attitudes of mathematics teachers towards technology. At this study, attitudes of…

  15. Lifelong Learning and its support with new technologies

    NARCIS (Netherlands)

    Kalz, Marco

    2014-01-01

    This chapter provides an overview about the use of new technologies for lifelong learning. While in the past learning technologies were mostly provided by educational institutions to support a specific lifetime or shorter learning episodes nowadays more personal technologies are used for lifelong

  16. Lifelong Learning and its support with new technologies

    NARCIS (Netherlands)

    Kalz, Marco

    2014-01-01

    This chapter provides an overview about the use of new technologies for lifelong learning. While in the past learning technologies were mostly provided by educational institutions to support a specific lifetime or shorter learning episodes nowadays more personal technologies are used for lifelong le

  17. Constructing a Once-and-Future History of Learning Technologies.

    Science.gov (United States)

    Bruce, Betram C.

    2001-01-01

    Describes a course on the use of technologies for learning that studies the World Wide Web, multimedia, communication and collaboration software, tutoring systems, virtual reality, and other new digital technologies. Explores what educators are beginning to learn from this investigation of the past and future of learning technologies through use…

  18. Editorial: Shifting from Technology-Enhanced Learning to Technology-Transformed Learning - Best Papers Selected from the Conference APTEL 2010

    Directory of Open Access Journals (Sweden)

    Nian-Shing Chen

    2011-09-01

    Full Text Available In the past decade, the rapid development of computer and communication technologies brings many opportunities for developing innovative learning environments with rich resources. Technology enhanced learning shifted their focus from technology to support factual learning, memorization and the reinforcement of basic skills to stimulate students to engage in meaningful learning and situated learning. With the support of computer and communication technologies, students are able to develop higher-order skills, such as critical thinking and problem-solving skills individually or collaboratively. Technology enhanced learning has become an interdisciplinary issue that attracts researchers from various fields to work together.

  19. Incorporating learning technologies into undergraduate radiography education

    Energy Technology Data Exchange (ETDEWEB)

    Lorimer, Jenny [University of Hertfordshire, Health and Emergency Professions, College Lane Campus, Hatfield AL10 9AB (United Kingdom)], E-mail: J.Lorimer@herts.ac.uk; Hilliard, Alan [University of Hertfordshire, Health and Emergency Professions, College Lane Campus, Hatfield AL10 9AB (United Kingdom)], E-mail: A.P.Hilliard@herts.ac.uk

    2009-08-15

    Purpose: This study investigated the impact of integrating podcasts/audio file downloads and use of an electronic voting system (EVS) on a previously traditionally taught module. Both student (direct entry and mature) and staff satisfaction with the modified structure were evaluated. Method: An interim student evaluation was undertaken during the module, to provide formative data to the module leader about student opinion of the teaching methods and learning technologies. An end of module questionnaire was given to students and staff on the teaching team. Results: From the interim evaluation, given the option of returning to the traditional delivery method, 77.5% of students agreed that the module should continue to run in its blended format. The final evaluation discovered no differences in the behaviour of direct entry students compared to mature students. Both groups accessed the podcasts easily, generally at home, and spent longer studying than if blended learning technologies had not been used. It was discovered that 16% of the mature and 24% of the direct entry students would have preferred lectures to podcasts, although the students were positive about the flexibility offered. Both groups of students were virtually unanimous on the benefits of the EVS to support learning. Conclusion: The researchers concluded that the learning technologies did not create barriers for either student group, and that students' engagement with their learning and level of classroom interactivity were both increased when compared with the previous traditional delivery. The researchers are confident that the described combination of teaching delivery methods is a successful way of allowing small group work to continue with large cohorts.

  20. The dynamic interplay among EFL learners’ ambiguity tolerance, adaptability, cultural intelligence, learning approach, and language achievement

    Directory of Open Access Journals (Sweden)

    Shadi Alahdadi

    2017-01-01

    Full Text Available A key objective of education is to prepare individuals to be fully-functioning learners. This entails developing the cognitive, metacognitive, motivational, cultural, and emotional competencies. The present study aimed to examine the interrelationships among adaptability, tolerance of ambiguity, cultural intelligence, learning approach, and language achievement as manifestations of the above competencies within a single model. The participants comprised one hundred eighty BA and MA Iranian university students studying English language teaching and translation. The instruments used in this study consisted of the translated versions of four questionnaires: second language tolerance of ambiguity scale, adaptability taken from emotional intelligence inventory, cultural intelligence (CQ inventory, and the revised study process questionnaire measuring surface and deep learning. The results estimated via structural equation modeling (SEM revealed that the proposed model containing the variables under study had a good fit with the data. It was found that all the variables except adaptability directly influenced language achievement with deep approach having the highest impact and ambiguity tolerance having the lowest influence. In addition, ambiguity tolerance was a positive and significant predictor of deep approach. CQ was found to be under the influence of both ambiguity tolerance and adaptability. The findings were discussed in the light of the yielded results.

  1. Intelligent Web-Based Learning System with Personalized Learning Path Guidance

    Science.gov (United States)

    Chen, C. M.

    2008-01-01

    Personalized curriculum sequencing is an important research issue for web-based learning systems because no fixed learning paths will be appropriate for all learners. Therefore, many researchers focused on developing e-learning systems with personalized learning mechanisms to assist on-line web-based learning and adaptively provide learning paths…

  2. Reflexivity and technology in adult learning

    Directory of Open Access Journals (Sweden)

    Neil Selwyn

    2005-03-01

    Full Text Available It is argued by influential commentators such as Ulrich Beck and Scott Lash that we now live in a ‘reflexively modern' age. People are seen to now be free of the structures of modern society and driven instead by individualised opportunities to reflexively engage with their fast-changing social worlds and identities. Taking the notion of reflexive modernisation as its starting point, this paper explores the roles that information technologies (ITs may play in supporting adults' reflexive judgements about, and reflexive engagements with, education and learning. Through an analysis of interview data with 100 adults in the UK the paper finds that whilst a minority of interviewees were using ITs to support and inform reflexive engagementwith learning, the majority of individuals relayed little sign of technology-supported reflexivity when it came to their (nonengagement with education. For most people ITs were found, at best, to reinforce pre-established tendencies to ‘drift' through the formal education system. The paper concludes by considering the implications of these findings for ongoing efforts in developed countries to establish technology-supported ‘learning societies'.

  3. Learning, thinking, and emoting with discourse technologies.

    Science.gov (United States)

    Graesser, Arthur C

    2011-11-01

    This is an unusual moment in the history of psychology because of landmark advances in digital information technologies, computational linguistics, and other fields that use the computer to analyze language, discourse, and behavior. The technologies developed from this interdisciplinary fusion are helping students learn and think in ways that are sensitive to their cognitive and emotional states. Recent projects have developed computer technologies that help us understand the nature of conversational discourse and text comprehension in addition to improving learning. AutoTutor and other systems with conversational agents (i.e., talking heads) help students learn by holding conversations in natural language. One version of AutoTutor is sensitive to the emotions of students in addition to their cognitive states. Coh-Metrix analyzes texts on multiple levels of language and discourse, such as text genre, cohesion, syntax, and word characteristics. Coh-Metrix can assist students, teachers, principals, and policymakers when they make decisions on the right text to assign to the right student at the right time. Computers are not perfect conversation partners and comprehenders of text, but the current systems are undeniably useful. (PsycINFO Database Record (c) 2011 APA, all rights reserved).

  4. New development of longwall mining equipment based on automation and intelligent technology for thin seam coal

    Institute of Scientific and Technical Information of China (English)

    Guo-fa WANG

    2013-01-01

    The paper introduced complete sets of automatic equipment and technology used in thin seam coal face,and proposed the comprehensive mechanization and automation of safe and high efficiency mining models based on the thin seam drum shearer.The key technology of short length and high power thin seam drum shearer,and new type roof support with big extension ratio and plate canopy were introduced.The new research achievement on automatic control system of complete sets of equipment for the thin seam coal,which composed of electronic-hydraulic system,compact thin seam roof supports,high effective shearer with intelligent control system,and characterized by automatical follow-up and remote control technology,was described in this paper..

  5. Conceptual Relationship between Information and Communication Technologies and Competitive Intelligence Activities

    Directory of Open Access Journals (Sweden)

    Ioan RADU

    2012-12-01

    Full Text Available This paper aims to describe the conceptual relationship between information and communication technologies (ICT and competitive intelligence (CI by emphasizing the role of ICT in support of knowledge processes specific activities relevant to the viability of the organization. Assessing the value and role of ICT to support CI activities requires an understanding of the relationship between the two. This study argues that starting from either the ICT or CI side to this relationship and linking to the other, as most studies do, cannot secure a fully adequate conception of ICT’s value and role to CI. In such context the challenge is to find an appropriate approach in the relationship itself and use it as a possible pattern for developing an understanding of both ICT and CI. For this reason, the paper starts with a brief overview of CI function and continues with a review of the possible uses of ICT in the activities of intelligence. The third section of the study aims to analyze the relationship between ICT applications and CI function. Finally, this study describes a number of problems identified in the use of ICT applications to support intelligence activities within organizations and also it discusses possible solutions to resolve these deficiencies.

  6. The Application of Collaborative Business Intelligence Technology in the Hospital SPD Logistics Management Model.

    Science.gov (United States)

    Liu, Tongzhu; Shen, Aizong; Hu, Xiaojian; Tong, Guixian; Gu, Wei

    2017-06-01

    We aimed to apply collaborative business intelligence (BI) system to hospital supply, processing and distribution (SPD) logistics management model. We searched Engineering Village database, China National Knowledge Infrastructure (CNKI) and Google for articles (Published from 2011 to 2016), books, Web pages, etc., to understand SPD and BI related theories and recent research status. For the application of collaborative BI technology in the hospital SPD logistics management model, we realized this by leveraging data mining techniques to discover knowledge from complex data and collaborative techniques to improve the theories of business process. For the application of BI system, we: (i) proposed a layered structure of collaborative BI system for intelligent management in hospital logistics; (ii) built data warehouse for the collaborative BI system; (iii) improved data mining techniques such as supporting vector machines (SVM) and swarm intelligence firefly algorithm to solve key problems in hospital logistics collaborative BI system; (iv) researched the collaborative techniques oriented to data and business process optimization to improve the business processes of hospital logistics management. Proper combination of SPD model and BI system will improve the management of logistics in the hospitals. The successful implementation of the study requires: (i) to innovate and improve the traditional SPD model and make appropriate implement plans and schedules for the application of BI system according to the actual situations of hospitals; (ii) the collaborative participation of internal departments in hospital including the department of information, logistics, nursing, medical and financial; (iii) timely response of external suppliers.

  7. The effects of life stress and neural learning signals on fluid intelligence.

    Science.gov (United States)

    Friedel, Eva; Schlagenhauf, Florian; Beck, Anne; Dolan, Raymond J; Huys, Quentin J M; Rapp, Michael A; Heinz, Andreas

    2015-02-01

    Fluid intelligence (fluid IQ), defined as the capacity for rapid problem solving and behavioral adaptation, is known to be modulated by learning and experience. Both stressful life events (SLES) and neural correlates of learning [specifically, a key mediator of adaptive learning in the brain, namely the ventral striatal representation of prediction errors (PE)] have been shown to be associated with individual differences in fluid IQ. Here, we examine the interaction between adaptive learning signals (using a well-characterized probabilistic reversal learning task in combination with fMRI) and SLES on fluid IQ measures. We find that the correlation between ventral striatal BOLD PE and fluid IQ, which we have previously reported, is quantitatively modulated by the amount of reported SLES. Thus, after experiencing adversity, basic neuronal learning signatures appear to align more closely with a general measure of flexible learning (fluid IQ), a finding complementing studies on the effects of acute stress on learning. The results suggest that an understanding of the neurobiological correlates of trait variables like fluid IQ needs to take socioemotional influences such as chronic stress into account.

  8. Meta-analysis of fluid intelligence tests of children from the Chinese mainland with learning difficulties.

    Science.gov (United States)

    Tong, Fang; Fu, Tong

    2013-01-01

    To evaluate the differences in fluid intelligence tests between normal children and children with learning difficulties in China. PubMed, MD Consult, and other Chinese Journal Database were searched from their establishment to November 2012. After finding comparative studies of Raven measurements of normal children and children with learning difficulties, full Intelligent Quotation (FIQ) values and the original values of the sub-measurement were extracted. The corresponding effect model was selected based on the results of heterogeneity and parallel sub-group analysis was performed. Twelve documents were included in the meta-analysis, and the studies were all performed in mainland of China. Among these, two studies were performed at child health clinics, the other ten sites were schools and control children were schoolmates or classmates. FIQ was evaluated using a random effects model. WMD was -13.18 (95% CI: -16.50- -9.85). Children with learning difficulties showed significantly lower FIQ scores than controls (Pintelligence of children with learning difficulties was lower than that of normal children. Delayed development in sub-items of C, D, and E was more obvious.

  9. 智能车技术探讨%Discussion on the Intelligent Vehicle Technologies

    Institute of Scientific and Technical Information of China (English)

    王国胤; 陈乔松; 王进

    2012-01-01

    Nowadays,the pollution of the environment,traffic safety and congestion are truly severe problems affecting the entire world. The intelligent vehicle(IV) is an attempt to move towards a new traffic paradigm, where drive becomes enjoyable experience,and cars don't crash anymore,and traffic congestion is drastically reduced. Therefore,the development of intelligent vehicle in new generation becomes one of the most important strategic objectives in main developed countries. In this paper, intelligent vehicle was creatively defined as a car with power-driven and intelligent control. Five basic functional features should be realized in intelligent vehicle, which consists of the vehicle-to-vehicle(V2V) interaction, vehicle-to-people(V2P) interaction, vehicle-to-road(V2R) interaction, vehicle-to-network( V2N) interaction and energy-saving. These four interactions prescribe a cooperative system between the intelligent vehicles and surroundings, while the energy-saving focuses on the clean and economical energy management system. Meanwhile, the novel theories and technologies for the development of intelligent vehicle were discussed in this paper. Finally, the autonomous driving simulation experiment was performed by miniature intelligent vehicles,and the future of intelligent vehicle industry was prospected.%近年来,环境污染、交通安全及拥堵等严峻的问题困扰着整个世界.智能汽车的出现是为了建立一种新的交通范例,以便在很大程度上降低驾驶人员的劳动强度,避免汽车碰撞和减轻交通拥堵等.因而,发展新一代的智能汽车就成为了世界主要国家的发展战略目标.提出智能汽车的新定义:以自身装备动力驱动的智能信息系统管控的车辆.它具有5大基本功能特征,即车车交互、车人交互、车路交互、车网交互和绿色节能.车、人、路、网4个交互规定了智能汽车和周边环境之间的协作关系,而绿色节能则关注于清洁节约的能

  10. Evaluation of Speech Intelligibility and Sound Localization Abilities with Hearing Aids Using Binaural Wireless Technology.

    Science.gov (United States)

    Ibrahim, Iman; Parsa, Vijay; Macpherson, Ewan; Cheesman, Margaret

    2013-01-02

    Wireless synchronization of the digital signal processing (DSP) features between two hearing aids in a bilateral hearing aid fitting is a fairly new technology. This technology is expected to preserve the differences in time and intensity between the two ears by co-ordinating the bilateral DSP features such as multichannel compression, noise reduction, and adaptive directionality. The purpose of this study was to evaluate the benefits of wireless communication as implemented in two commercially available hearing aids. More specifically, this study measured speech intelligibility and sound localization abilities of normal hearing and hearing impaired listeners using bilateral hearing aids with wireless synchronization of multichannel Wide Dynamic Range Compression (WDRC). Twenty subjects participated; 8 had normal hearing and 12 had bilaterally symmetrical sensorineural hearing loss. Each individual completed the Hearing in Noise Test (HINT) and a sound localization test with two types of stimuli. No specific benefit from wireless WDRC synchronization was observed for the HINT; however, hearing impaired listeners had better localization with the wireless synchronization. Binaural wireless technology in hearing aids may improve localization abilities although the possible effect appears to be small at the initial fitting. With adaptation, the hearing aids with synchronized signal processing may lead to an improvement in localization and speech intelligibility. Further research is required to demonstrate the effect of adaptation to the hearing aids with synchronized signal processing on different aspects of auditory performance.

  11. Mobile Technology: Implications of Its Application on Learning

    Science.gov (United States)

    Adeyemo, Samuel Adesola; Adedoja, Gloria Olusola; Adelore, Omobola

    2013-01-01

    Learning in Nigeria is considered to have taken a new dimension as the Distance Learning Centre (DLC) of the University of Ibadan has created wider access to learning through the application of mobile technology to learning with particular reference to mobile phones use for the teaching and learning process. By this, the Centre seeks to achieve…

  12. A Study on Robot Technologies Used in Intelligent Systems with Nanotechnology Perspective

    Directory of Open Access Journals (Sweden)

    Aylin TUTGUN ÜNAL

    2012-08-01

    Full Text Available In this research the robot technologies used in the integration of intelligent systems of the nanotechnology have been studied in 3 chapters: According to this research, various examples have been given (1 for the robot systems with human characteristics, (2 for robotizing of other organic living organisms, (3 for robot systems designed for other materials and the purpose used in different areas of the robot systems that are mentioned in the perspective of the human-computer interaction have been discussed.

  13. Can We Learn to Treat One Another Better? A Test of a Social Intelligence Curriculum.

    Directory of Open Access Journals (Sweden)

    Eva K Zautra

    Full Text Available This paper reports on the first test of the value of an online curriculum in social intelligence (SI. Built from current social and cognitive neuroscience research findings, the 50 session SI program was administered, with facilitation in Spanish by classroom instructors, to 207 students from Universidad Rey Juan Carlos in Madrid as part of their undergraduate classes. All materials were translated into Castilian Spanish, including outcome measures of SI that have been used in prior studies to provide valid estimates of two key components of social intelligence: 1 Sensitivity to others and 2 confidence in one's capacity to manage social situations. Pre- and Posttest were administered to participants in the SI training, and also to 87 students in similar classes who did not receive the program who served as the control group. Gender and emotional intelligence levels at pretest also were examined as potential individual differences that might affect the impact of the program on study outcomes. Repeated measures ANOVAs on study outcomes revealed significant increases, from pre to post, in most measures of social intelligence for program participants in comparison to controls, with no effects of gender or age on program effectiveness. Prior scores on emotional intelligence were not a prerequisite for learning from the program. Some findings suggest ways the program may be improved to have stronger effects. Nonetheless, the findings indicate that the SI program tested here shows considerable promise as a means to increase the willingness of young adults to take the perspective of others and enhance their efficacy for initiating and sustaining positive social connections.

  14. Can We Learn to Treat One Another Better? A Test of a Social Intelligence Curriculum.

    Science.gov (United States)

    Zautra, Eva K; Zautra, Alex J; Gallardo, Carmen Ecija; Velasco, Lilian

    2015-01-01

    This paper reports on the first test of the value of an online curriculum in social intelligence (SI). Built from current social and cognitive neuroscience research findings, the 50 session SI program was administered, with facilitation in Spanish by classroom instructors, to 207 students from Universidad Rey Juan Carlos in Madrid as part of their undergraduate classes. All materials were translated into Castilian Spanish, including outcome measures of SI that have been used in prior studies to provide valid estimates of two key components of social intelligence: 1) Sensitivity to others and 2) confidence in one's capacity to manage social situations. Pre- and Posttest were administered to participants in the SI training, and also to 87 students in similar classes who did not receive the program who served as the control group. Gender and emotional intelligence levels at pretest also were examined as potential individual differences that might affect the impact of the program on study outcomes. Repeated measures ANOVAs on study outcomes revealed significant increases, from pre to post, in most measures of social intelligence for program participants in comparison to controls, with no effects of gender or age on program effectiveness. Prior scores on emotional intelligence were not a prerequisite for learning from the program. Some findings suggest ways the program may be improved to have stronger effects. Nonetheless, the findings indicate that the SI program tested here shows considerable promise as a means to increase the willingness of young adults to take the perspective of others and enhance their efficacy for initiating and sustaining positive social connections.

  15. Validating the Learning Disability Screening Questionnaire Against the Weschler Adult Intelligence Scale, Fourth Edition.

    Science.gov (United States)

    McKenzie, Karen; Sharples, Phil; Murray, Aja L

    2015-08-01

    The Learning Disability Screening Questionnaire (LDSQ), a brief screening tool for intellectual disability, was originally validated against the Weschler Adult Intelligence Scale, Third Edition (WAIS-III), which was superseded by the Weschler Adult Intelligence Scale, Fourth Edition (WAIS-IV) in the United Kingdom in 2010. This study examines the performance of the LDSQ using the WAIS-IV as the diagnostic intellectual assessment. Based on the original optimal cut-off score, the LDSQ sensitivity value was equivalent (91%) to that obtained in the original validation study, and the specificity value was higher at 92%. This suggests that the LDSQ remains valid when using the WAIS-IV as the comparative intellectual assessment.

  16. The added value of a gaming context and intelligent adaptation for a mobile application for vocabulary learning

    NARCIS (Netherlands)

    Sandberg, J.; Maris, M.; Hoogendoorn, P.

    2014-01-01

    Two groups participated in a study on the added value of a gaming context and intelligent adaptation for a mobile learning application. The control group worked at home for a fortnight with the original Mobile English Learning application (MEL-original) developed in a previous project. The experimen

  17. An Investigation of Social Behaviors of Primary School Children in Terms of Their Grade, Learning Disability and Intelligence Potential

    Science.gov (United States)

    Yukay Yuksel, Muge

    2013-01-01

    In this study, to what extent 7-9-year old primary school children's' social behaviors at school vary depending on their grade, gender and learning disability was investigated. In addition, the predictive value of the intelligence scores of children with normal development and with learning disability was explored for their negative and positive…

  18. Evaluation of Intelligent Agent Frameworks for Human Learning

    Directory of Open Access Journals (Sweden)

    Mohamed Soliman

    2011-10-01

    Full Text Available The traditional focus in engineering syllabi on technical abilities has been well substantiated by the types of knowledge and skills required in industrial processes. However, the emerging requirements in industrial operating environments necessitate a more personal configuration of competencies facilitating both intrapersonal and interpersonal processes at workplace. The concomitant reform of engineering education to incorporate social competence into the technical education calls for a revision of pedagogy, as the traditional instruments applied in the dissemination of substance knowledge and technical skills provide little support for leveraging students’ social skills. This article discusses the learnability of socio-emotional abilities and reviews their most fundamental and pertinent skills. The results from a quantitative, empirical research conducted in engineering industries to identify predictors of social competence are reported and the implications on engineering pedagogy examined. The proposed methodology for teaching social skills in the engineering classroom setup constitutes collaborative learning, self-management techniques, and teacher immediacy.

  19. THE CLOUD TECHNOLOGIES OF LEARNING: ORIGIN

    Directory of Open Access Journals (Sweden)

    Oksana M. Markova

    2015-04-01

    Full Text Available The research goal is to investigate the evolution of the concept of utility computing in the works of foreign researchers in the years 1959-1966. First the A. O. Mann’s results and expanded overview of the D. F. Parkhill’s results on the concept of computer (information utility were introduced in the domestic scientific circulation. Functionally identity of the computer utility and cloud computing concepts was proved, as well as refined the primary sources of cloud service models. There was proposed the interpretation of the “cloud technologies of learning” concept. Continuity of the development of cloud technologies over the past 55 years and their relationship with the development of ICT in general was concluded. The research results make it possible to determine the prospects of the development of cloud computing in general and cloud technologies of learning in particular.

  20. Technology-Assisted Learning: A Longitudinal Field Study of Knowledge Category, Learning Effectiveness and Satisfaction in Language Learning

    Science.gov (United States)

    Hui, W.; Hu, P. J.-H.; Clark, T. H. K.; Tam, K. Y.; Milton, J.

    2008-01-01

    A field experiment compares the effectiveness and satisfaction associated with technology-assisted learning with that of face-to-face learning. The empirical evidence suggests that technology-assisted learning effectiveness depends on the target knowledge category. Building on Kolb's experiential learning model, we show that technology-assisted…

  1. Intelligent playgrounds

    DEFF Research Database (Denmark)

    Larsen, Lasse Juel

    2009-01-01

    This paper examines play, gaming and learning in regard to intelligent playware developed for outdoor use. The key questions are how does these novel artefacts influence the concept of play, gaming and learning. Up until now play and game have been understood as different activities. This paper...... examines if the sharp differentiation between the two can be uphold in regard to intelligent playware for outdoor use. Play and game activities will be analysed and viewed in conjunction with learning contexts. This paper will stipulate that intelligent playware facilitates rapid shifts in contexts...

  2. Personalized Learning and the Future of Educational Technology

    OpenAIRE

    Karpicke, Jeffrey D.

    2014-01-01

    Recent advances in the cognitive science of learning have important implications for instructional practices at all levels of education. Educational technology is becoming pervasive, yet very little of it is designed around principles of learning from cognitive science. This talk discusses current trends in educational technologies, including personalized online learning systems and MOOCs, and how new advanced learning technologies will impact education in the future.

  3. Creating Educational Technology Curricula for Advanced Studies in Learning Technology

    Directory of Open Access Journals (Sweden)

    Minoru Nakayama

    2016-08-01

    Full Text Available Curriculum design and content are key factors in the area of human resource development. To examine the possibility of using a collaboration of Human Computer Interaction (HCI and Educational Technology (ET to develop innovative improvements to the education system, the curricula of these two areas of study were lexically analyzed and compared. As a further example, the curriculum of a joint course in HCI and ET was also lexically analyzed and the contents were examined. These analyses can be used as references in the development of human resources for use in advanced learning environments.

  4. A Framework for Integration of IVHM Technologies for Intelligent Integration for Vehicle Management

    Science.gov (United States)

    Paris, Deidre E.; Trevino, Luis; Watson, Mike

    2005-01-01

    As a part of the overall goal of developing Integrated Vehicle Health Management (IVHM) systems for aerospace vehicles, the NASA Faculty Fellowship Program (NFFP) at Marshall Space Flight Center has performed a pilot study on IVHM principals which integrates researched IVHM technologies in support of Integrated Intelligent Vehicle Management (IIVM). IVHM is the process of assessing, preserving, and restoring system functionality across flight and ground systems (NASA NGLT 2004). The framework presented in this paper integrates advanced computational techniques with sensor and communication technologies for spacecraft that can generate responses through detection, diagnosis, reasoning, and adapt to system faults in support of IIVM. These real-time responses allow the IIVM to modify the effected vehicle subsystem(s) prior to a catastrophic event. Furthermore, the objective of this pilot program is to develop and integrate technologies which can provide a continuous, intelligent, and adaptive health state of a vehicle and use this information to improve safety and reduce costs of operations. Recent investments in avionics, health management, and controls have been directed towards IIVM. As this concept has matured, it has become clear the IIVM requires the same sensors and processing capabilities as the real-time avionics functions to support diagnosis of subsystem problems. New sensors have been proposed, in addition, to augment the avionics sensors to support better system monitoring and diagnostics. As the designs have been considered, a synergy has been realized where the real-time avionics can utilize sensors proposed for diagnostics and prognostics to make better real-time decisions in response to detected failures. IIVM provides for a single system allowing modularity of functions and hardware across the vehicle. The framework that supports IIVM consists of 11 major on-board functions necessary to fully manage a space vehicle maintaining crew safety and mission

  5. An empirical examination of the association between multiple intelligences and language learning self-efficacy among TEFL university students

    Directory of Open Access Journals (Sweden)

    Fatemeh Moafian

    2015-01-01

    Full Text Available The current study investigated the association between multiple intelligences and language learning efficacy expectations among TEFL (Teaching English as a Foreign Language university students. To fulfill the aim of the study, 108 junior and senior TEFL students were asked to complete the "Multiple Intelligence Developmental Assessment Scales" (MIDAS (Shearer, 1996 and the "Learners' Sense of Efficacy Survey" (Gahungu, 2009. Descriptive statistics, correlation analysis and regression analysis were employed to analyze the data. The findings of correlation analysis indicated that, among the different types of intelligences, Linguistic and Intrapersonal intelligences had strong positive correlations with learners' self-efficacy beliefs. The results of regression analysis showed that Linguistic and Intrapersonal intelligences were positive predictors of learners’ efficacy beliefs, whereas Mathematical intelligence was the negative predictor of students’ self-efficacy beliefs. All in all, the findings of the present study contribute to the understanding of the interplay between students’ multiple intelligences and their language learning self-efficacy beliefs; furthermore, they convey some implications for university teachers, material and curriculum developers and language testers.

  6. An empirical examination of the association between multiple intelligences and language learning self-efficacy among TEFL university students

    OpenAIRE

    Fatemeh Moafian; Mohammad Reza Ebrahimi

    2015-01-01

    The current study investigated the association between multiple intelligences and language learning efficacy expectations among TEFL (Teaching English as a Foreign Language) university students. To fulfill the aim of the study, 108 junior and senior TEFL students were asked to complete the "Multiple Intelligence Developmental Assessment Scales" (MIDAS) (Shearer, 1996) and the "Learners' Sense of Efficacy Survey" (Gahungu, 2009). Descriptive statistics, correlation analysis and regression anal...

  7. Robotics-Control Technology. Technology Learning Activity. Teacher Edition. Technology Education Series.

    Science.gov (United States)

    Oklahoma State Dept. of Vocational and Technical Education, Stillwater. Curriculum and Instructional Materials Center.

    This document contains the materials required for presenting an 8-day competency-based technology learning activity (TLA) designed to introduce students in grades 6-10 to advances and career opportunities in the field of robotics-control technology. The guide uses hands-on exploratory experiences into which activities to help students develop…

  8. Intelligent Guided E-Learning Systems for Early Learners with Autism Spectrum Disorder

    Directory of Open Access Journals (Sweden)

    Alma Barranco-Mendoza

    2008-08-01

    Full Text Available There is a burgeoning need to consider new ways of providing early educational services for young and often newly diagnosed children with Autism Spectrum Disorder (ASD and their families. Such children do not respond naturally to linear curricular delivery, normally utilized in inclusive classrooms that predominate public education, but rather need an educational model incorporating intra and interpersonal development skills. In addition, there is an urgent need for the ability of keeping track of and addressing uneven progress in specific areas; characteristic of learners with ASD. It is suggested that a new curricular model be designed that integrates the advantages of e-learning for data management and communication exchange with the inclusion classroom learning. A multi-disciplinary approach to the problem has lead to the proposal of an alternate model using an Intelligent Guided E-Learning System, which can be of benefit to such learners, their parents, and their teachers. This system utilizes a Knowledge Representation model that incorporates the complex multidisciplinary data related with ASD, along with curricular information as well as other Artificial Intelligence techniques that guide the curriculum in a simple and directed, yet evolving, manner such that the complexity increases as the learner with ASD's understanding progresses.

  9. Intelligent Guided E-Learning Systems for Early Learners with Autism Spectrum Disorder

    Directory of Open Access Journals (Sweden)

    Alma Barranco-Mendoza

    2008-08-01

    Full Text Available There is a burgeoning need to consider new ways of providing early educational services for young and often newly diagnosed children with Autism Spectrum Disorder (ASD and their families. Such children do not respond naturally to linear curricular delivery, normally utilized in inclusive classrooms that predominate public education, but rather need an educational model incorporating intra and interpersonal development skills. In addition, there is an urgent need for the ability of keeping track of and addressing uneven progress in specific areas; characteristic of learners with ASD. It is suggested that a new curricular model be designed that integrates the advantages of e-learning for data management and communication exchange with the inclusion classroom learning. A multi-disciplinary approach to the problem has lead to the proposal of an alternate model using an Intelligent Guided E-Learning System, which can be of benefit to such learners, their parents, and their teachers. This system utilizes a Knowledge Representation model that incorporates the complex multidisciplinary data related with ASD, along with curricular information as well as other Artificial Intelligence techniques that guide the curriculum in a simple and directed, yet evolving, manner such that the complexity increases as the learner with ASD's understanding progresses.

  10. Improving Information Technology Curriculum Learning Outcomes

    Directory of Open Access Journals (Sweden)

    Derrick L Anderson

    2017-06-01

    The case study research methodology has been selected to conduct the inquiry into this phenomenon. This empirical inquiry facilitates exploration of a contemporary phenomenon in depth within its real-life context using a variety of data sources. The subject of analysis will be two Information Technology classes composed of a combination of second year and third year students; both classes have six students, the same six students. Contribution It is the purpose of this research to show that the use of improved approaches to learning will produce more desirable learning outcomes. Findings The results of this inquiry clearly show that the use of the traditional behaviorist based pedagogic model to achieve college and university IT program learning outcomes is not as effective as a more constructivist based andragogic model. Recommendations Instruction based purely on either of these does a disservice to the typical college and university level learner. The correct approach lies somewhere in between them; the most successful outcome attainment would be the product of incorporating the best of both. Impact on Society Instructional strategies produce learning outcomes; learning outcomes demonstrate what knowledge has been acquired. Acquired knowledge is used by students as they pursue professional careers and other ventures in life. Future Research Learning and teaching approaches are not “one-size-fits-all” propositions; different strategies are appropriate for different circumstances and situations. Additional research should seek to introduce vehicles that will move learners away from one the traditional methodology that has been used throughout much of their educational careers to an approach that is better suited to equip them with the skills necessary to meet the challenges awaiting them in the professional world.

  11. The Relationship Between Emotional Intelligence and Students' Attitude Towards Computers: A Study on Polytechnic Engineering Students

    Directory of Open Access Journals (Sweden)

    Jeya Amantha Kumar

    2012-09-01

    Full Text Available Computers are perceived as an important tool in the world of education. Computer technology today when used in teaching and learning could open the world to students. However when learning is concern, emotions relevant to learning should not be forgotten. Thus emotional intelligence should be considered when computers and learning is concern. There is very little research on the effect of emotional intelligence on learning and on technology. As learning with technology relates to computers, thus this study focuses on the relationship between emotional intelligence and attitudes towards computer. Based on this study it was found that emotional intelligence of the polytechnic engineering students was average and their attitudes towards computers were positive. The relationship between emotional intelligence and attitude towards computer is positive but very weak. Significant difference were found when gender was compared however CGPA (Cumulative Grade Point Average and ownership of computers did not affect this relationship.

  12. The process of motor transport technology development in intelligent transport systems

    Directory of Open Access Journals (Sweden)

    Rudzinska O.V.

    2016-08-01

    Full Text Available Traffic is now regarded as one of the most complicated components of social and economic development in cities and suburban regions. The most advanced technologies for collecting and processing information about traffic parameters (density, speed, rolling stock should be used in these areas to ensure non-stop traffic flow on the roads. Methodological formation of ITS is based on the systematic approach, which considers the development of ITS services as a system rather than individual modules. Therefore a single open system architecture, protocols, information exchange, form of transport documents, standardization of means of communication parameters used for monitoring and control of vehicles are formed. Some specifications for the list of functions and service groups were made while searching for a solution of transport technology domain problems - commercial vehicles. Typical issues solved in service groups, on organisation of trucking transportations using the intelligent transport systems were defined – interpretation, diagnosis, monitoring, synthesis, forecasting, training and supporting the decisions already taken.

  13. An extension of the technology acceptance model for business intelligence systems: project management maturity perspective

    Directory of Open Access Journals (Sweden)

    Mirjana Pejić Bach

    2017-01-01

    Full Text Available Business intelligence systems (BISs refer to wide range of technologies and applications useful for retrieving and analyzing the large amount of information with the goal to generate knowledge useful for making effective business decision. In order to investigate adoption of BISs in companies, we propose a model based on the technology acceptance model (TAM that is expanded by variables representing the concept of a project management maturity (PMM. The survey on the sample of USA companies has been conducted with the chief information officer (CIO as the main informant. Structural equations model has been developed in order to test the research model. Results indicate that TAM expanded with the notion of PMM is useful in increasing understanding of BISs adoption in companies.

  14. Integrating Multiple Intelligences and Learning Styles on Solving Problems, Achievement in, and Attitudes towards Math in Six Graders with Learning Disabilities in Cooperative Groups

    Science.gov (United States)

    Eissa, Mourad Ali; Mostafa, Amaal Ahmed

    2013-01-01

    This study investigated the effect of using differentiated instruction by integrating multiple intelligences and learning styles on solving problems, achievement in, and attitudes towards math in six graders with learning disabilities in cooperative groups. A total of 60 students identified with LD were invited to participate. The sample was…

  15. Swarm Intelligence: New Techniques for Adaptive Systems to Provide Learning Support

    Science.gov (United States)

    Wong, Lung-Hsiang; Looi, Chee-Kit

    2012-01-01

    The notion of a system adapting itself to provide support for learning has always been an important issue of research for technology-enabled learning. One approach to provide adaptivity is to use social navigation approaches and techniques which involve analysing data of what was previously selected by a cluster of users or what worked for…

  16. Academic Achievement from Using the Learning Medium Via a Tablet Device Based on Multiple Intelligences in Grade 1 Elementary Student.

    Science.gov (United States)

    Nuallaong, Winitra; Nuallaong, Thanya; Preechadirek, Nongluck

    2015-04-01

    To measure academic achievement of the multiple intelligence-based learning medium via a tablet device. This is a quasi-experimental research study (non-randomized control group pretest-posttest design) in 62 grade 1 elementary students (33 males and 29 females). Thirty-one students were included in an experimental group using purposive sampling by choosing a student who had highest multiple intelligence test scores in logical-mathematic. Then, this group learned by the new learning medium via a tablet which the application matched to logical-mathematic multiple intelligence. Another 31 students were included in a control group using simple random sampling and then learning by recitation. Both groups did pre-test and post-test vocabulary. Thirty students in the experimental group and 24 students in the control group increased post-test scores (odds ratio = 8.75). Both groups made significant increasing in post-test scores. The experimental group increased 9.07 marks (95% CI 8.20-9.93) significantly higher than the control group which increased 4.39 marks (95% CI 3.06-5.72) (t = -6.032, df = 51.481, p multiple intelligence-based learning medium via a tablet or recitation can contribute academic achievement, learningfrom the new medium contributed more achievement than recitation. The new learning medium group had higher post-test scores 8.75 times than the recitation group. Therefore, the new learning medium is more effective than the traditional recitation in terms of academic achievement. This study has limitations because samples came from the same school. However, the previous study in Thailand did notfind a logical-mathematical multiple intelligence difference among schools. In the future, long-term research to find how the new learning medium affects knowledge retention will support the advantage for life-long learning.

  17. Mapping Students Use of Technologies in Problem Based Learning Environments

    DEFF Research Database (Denmark)

    Rongbutsri, Nikorn; Khalid, Md. Saifuddin; Ryberg, Thomas

    2011-01-01

    This paper aims to understand how students use technology to enhance their learning in problem-based learning environments. The research methodology is based on both qualitative and quantitative studies. The results are based on students’ interviews, a survey and students’ reflections in course......-related blog posts; they show that students have positive perceptions toward using technologies in problem-based learning environments....

  18. Technologies and Levels of Learning: A Gregory Bateson Perspective.

    Science.gov (United States)

    Harlow, Steven; Cummings, Rhoda

    2002-01-01

    Discusses the effective use of instructional technology and examines the use of instructional technology within the framework of anthropologist Gregory Bateson's theory of learning, which views learning as a function of expectation and engagement of the student within the context of the learning experience. (Author/LRW)

  19. Researching Cognition and Technology: How We Learn across the Lifespan

    Science.gov (United States)

    Petrina, Stephen; Feng, Franc; Kim, Juyun

    2008-01-01

    This article addresses how we learn technology across the lifespan. After outlining findings of research into how children, adolescents, teens and adults learn technology, we address theoretical shifts from sociocultural to technocultural theories of cognition and reorientations from mediated to cyborgenic learning. The balance of the article…

  20. Meta-analysis of fluid intelligence tests of children from the Chinese mainland with learning difficulties.

    Directory of Open Access Journals (Sweden)

    Fang Tong

    Full Text Available OBJECTIVE: To evaluate the differences in fluid intelligence tests between normal children and children with learning difficulties in China. METHOD: PubMed, MD Consult, and other Chinese Journal Database were searched from their establishment to November 2012. After finding comparative studies of Raven measurements of normal children and children with learning difficulties, full Intelligent Quotation (FIQ values and the original values of the sub-measurement were extracted. The corresponding effect model was selected based on the results of heterogeneity and parallel sub-group analysis was performed. RESULTS: Twelve documents were included in the meta-analysis, and the studies were all performed in mainland of China. Among these, two studies were performed at child health clinics, the other ten sites were schools and control children were schoolmates or classmates. FIQ was evaluated using a random effects model. WMD was -13.18 (95% CI: -16.50- -9.85. Children with learning difficulties showed significantly lower FIQ scores than controls (P<0.00001; Type of learning difficulty and gender differences were evaluated using a fixed-effects model (I² = 0%. The sites and purposes of the studies evaluated here were taken into account, but the reasons of heterogeneity could not be eliminated; The sum IQ of all the subgroups showed considerable heterogeneity (I² = 76.5%. The sub-measurement score of document A showed moderate heterogeneity among all documents, and AB, B, and E showed considerable heterogeneity, which was used in a random effect model. Individuals with learning difficulties showed heterogeneity as well. There was a moderate delay in the first three items (-0.5 to -0.9, and a much more pronounced delay in the latter three items (-1.4 to -1.6. CONCLUSION: In the Chinese mainland, the level of fluid intelligence of children with learning difficulties was lower than that of normal children. Delayed development in sub-items of C, D