WorldWideScience

Sample records for model intelligent tutoring

  1. Improved Modeling of Intelligent Tutoring Systems Using Ant Colony Optimization

    Science.gov (United States)

    Rastegarmoghadam, Mahin; Ziarati, Koorush

    2017-01-01

    Swarm intelligence approaches, such as ant colony optimization (ACO), are used in adaptive e-learning systems and provide an effective method for finding optimal learning paths based on self-organization. The aim of this paper is to develop an improved modeling of adaptive tutoring systems using ACO. In this model, the learning object is…

  2. Developmental Process Model for the Java Intelligent Tutoring System

    Science.gov (United States)

    Sykes, Edward

    2007-01-01

    The Java Intelligent Tutoring System (JITS) was designed and developed to support the growing trend of Java programming around the world. JITS is an advanced web-based personalized tutoring system that is unique in several ways. Most programming Intelligent Tutoring Systems require the teacher to author problems with corresponding solutions. JITS,…

  3. Stupid Tutoring Systems, Intelligent Humans

    Science.gov (United States)

    Baker, Ryan S.

    2016-01-01

    The initial vision for intelligent tutoring systems involved powerful, multi-faceted systems that would leverage rich models of students and pedagogies to create complex learning interactions. But the intelligent tutoring systems used at scale today are much simpler. In this article, I present hypotheses on the factors underlying this development,…

  4. THE FUZZY OVERLAY STUDENT MODEL IN AN INTELLIGENT TUTORING SYSTEM

    Directory of Open Access Journals (Sweden)

    D. I. Popov

    2015-01-01

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

  5. Intelligent Tutoring Systems.

    Science.gov (United States)

    Anderson, John R.; And Others

    1985-01-01

    Cognitive psychology, artificial intelligence, and computer technology have advanced so much that it is feasible to build computer systems that are as effective as intelligent human tutors. Computer tutors have been developed for teaching students to do proofs in geometry and to write computer programs in the LISP language. (JN)

  6. Intelligent tutoring systems

    Energy Technology Data Exchange (ETDEWEB)

    Anderson, J.R.; Boyle, C.F.; Reiser, B.J.

    1985-04-26

    Cognitive psychology, artificial intelligence, and computer technology have advanced to the point where it is feasible to build computer systems that are as effective as intelligent human tutors. Computer tutors based on a set of pedagogical principles derived from the ACT theory of cognition have been developed for teaching students to do proofs in geometry and to write computer programs in the language LISP. 19 references, 2 figures.

  7. 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…

  8. 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…

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

    Science.gov (United States)

    dall'Acqua, Luisa

    2010-06-01

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

  10. Intelligent Tutoring Systems as Design.

    Science.gov (United States)

    Wu, Albert K. W.; Lee, M. C.

    1998-01-01

    Proposes the notion of intelligent tutoring systems (ITS) as design in order to engage ITS development with more rigor. Topics include engineering design versus ITS design; systems approach; design as problem solving; a hierarchy of paradigms; the emergence of an agent-theoretic approach; and the need for an ITS design notation. (Author/LRW)

  11. 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.

  12. Instructional Aspects of Intelligent Tutoring Systems.

    Science.gov (United States)

    Pieters, Jules M., Ed.

    This collection contains three papers addressing the instructional aspects of intelligent tutoring systems (ITS): (1) "Some Experiences with Two Intelligent Tutoring Systems for Teaching Computer Programming: Proust and the LISP-Tutor" (van den Berg, Merrienboer, and Maaswinkel); (2) "Some Issues on the Construction of Cooperative…

  13. Student Modelling in an Intelligent Tutoring System for the Passive Voice of English Language

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    Dimitris Maras

    2000-01-01

    Full Text Available This paper describes an intelligent multimedia tutoring system for the passive voice of the English grammar. The system may be used to present theoretical issues about the passive voice and to provide exercises that the student may solve. The main focus of the tutor is on the student's error diagnosis process, which is performed by the student modelling component. When the student types the solution to an exercise, the system examines the correctness of the answer. If the student's answer has been erroneous it attempts to diagnose the underlying misconception of the mistake. In order to provide individualised help, the system holds a profile for every student, the long term student model. The student’s progress and his/her usual mistakes are recorded to this long term student model. This kind of information is used for the individualised error diagnosis of the student in subsequent sessions. In addition, the information stored about the student can also be used for the resolution of an arising ambiguity, as to what the underlying cause of a student error has been.

  14. Towards an Intelligent Tutor for Mathematical Proofs

    CERN Document Server

    Autexier, Serge; Schiller, Marvin; 10.4204/EPTCS.79.1

    2012-01-01

    Computer-supported learning is an increasingly important form of study since it allows for independent learning and individualized instruction. In this paper, we discuss a novel approach to developing an intelligent tutoring system for teaching textbook-style mathematical proofs. We characterize the particularities of the domain and discuss common ITS design models. Our approach is motivated by phenomena found in a corpus of tutorial dialogs that were collected in a Wizard-of-Oz experiment. We show how an intelligent tutor for textbook-style mathematical proofs can be built on top of an adapted assertion-level proof assistant by reusing representations and proof search strategies originally developed for automated and interactive theorem proving. The resulting prototype was successfully evaluated on a corpus of tutorial dialogs and yields good results.

  15. Towards an Intelligent Tutor for Mathematical Proofs

    Directory of Open Access Journals (Sweden)

    Serge Autexier

    2012-02-01

    Full Text Available Computer-supported learning is an increasingly important form of study since it allows for independent learning and individualized instruction. In this paper, we discuss a novel approach to developing an intelligent tutoring system for teaching textbook-style mathematical proofs. We characterize the particularities of the domain and discuss common ITS design models. Our approach is motivated by phenomena found in a corpus of tutorial dialogs that were collected in a Wizard-of-Oz experiment. We show how an intelligent tutor for textbook-style mathematical proofs can be built on top of an adapted assertion-level proof assistant by reusing representations and proof search strategies originally developed for automated and interactive theorem proving. The resulting prototype was successfully evaluated on a corpus of tutorial dialogs and yields good results.

  16. PROLOG BASED AN INTELLIGENT TUTORING SYSTEM (ITS

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    Funda DAĞ

    2004-04-01

    Full Text Available In this study; components of a web-based general purpose Intelligent Tutoring System (ITS has been realized by using Visual Prolog. A framework of the system has been constructed to apply various lesson. An ITS consists of four fundamental models which are domain expert model, user model, instruction model and user interface model. In this study, domain expert model, user model and user interface model have been realized. There are user interfaces for both author and student in the system. We aimed in this study, developing studies on ITS in our country and constructing a framework for an ITS.

  17. An Intelligent Tutoring System for Conceptual Physics

    Science.gov (United States)

    Franceschetti, Donald R.

    2007-11-01

    AutoTutor is an intelligent tutoring system (ITS) in which students can learn a variety of subjects through conversation in natural language with a software agent. The agent appears as a face on the screen, with a synthesized voice, and responds to typed input from the student. Student understanding is modeled from student responses, which are matched to high quality essay responses and known misconceptions and bad answers using one of several computational linguistic techniques. With ONR and NSF support a version of AutoTutor covering Newtonian dynamics at the level of Hewitt's Conceptual Physics has been developed and extensively tested. As a byproduct of this work, several thousand student responses to a small number of conceptual physics questions have been collated and mined for misconceptions. Recent work has allowed a comparison of latent semantic analysis and inverse word frequency measures of text match with expert answers. Some results from this process will be presented along with a demonstration of AutoTutor-Physics at work.

  18. Bridge: Intelligent Tutoring with Intermediate Representations

    Science.gov (United States)

    1988-05-01

    Research and Development Center and Psychology Department University of Pittsburgh Pittsburgh, PA. 15260 The Artificial Intelligence and Psychology...problem never introduces more than one unfamiliar plan. Inteligent Tutoring With Intermediate Representations - Bonar and Cunniigbam 4 You must have a... Inteligent Tutoring With ntermediate Representations - Bonar and Cunningham 7 The requirements are specified at four differcnt levels, corresponding to

  19. Effectiveness of Intelligent Tutoring Systems: A Meta Analytic Review

    Science.gov (United States)

    2017-02-01

    Michigan J. D. Fletcher Institute for Defense Analyses This review describes a meta- analysis of findings from 50 controlled evaluations of intelligent ...requirements for the meta- analysis : six evaluations with nonconventional control groups and four with flawed implementations of intelligent tutoring...hour of intelligent tutoring; the longest provided intelligent tutoring for three semesters, or 48 weeks. Overall Effects For our primary analysis , we

  20. Qualitative Evaluation of the Java Intelligent Tutoring System

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    Edward Sykes

    2005-10-01

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

  1. A New Paradigm for Intelligent Tutoring Systems: Example-Tracing Tutors

    Science.gov (United States)

    Aleven, Vincent; McLaren, Bruce M.; Sewall, Jonathan; Koedinger, Kenneth R.

    2009-01-01

    The Cognitive Tutor Authoring Tools (CTAT) support creation of a novel type of tutors called example-tracing tutors. Unlike other types of ITSs (e.g., model-tracing tutors, constraint-based tutors), example-tracing tutors evaluate student behavior by flexibly comparing it against generalized examples of problem-solving behavior. Example-tracing…

  2. Intelligent tutoring agent for settlers of Catan

    NARCIS (Netherlands)

    Geuze, Jeroen; Broek, van den Egon L.; Schobbens, P.-Y.; Vanhoof, W.; Schwanen, G.

    2006-01-01

    An Intelligent Tutoring Agent (ITA) for the board game Settlers of Catan (SoC) is introduced. It uses CLIPS knowledge bases, connected by JCLIPS to a JAVA implementation of SoC. It is founded on a new theoretical framework that describes the development of negotiation skills in children. Using this

  3. Evaluation Methods for Intelligent Tutoring Systems Revisited

    Science.gov (United States)

    Greer, Jim; Mark, Mary

    2016-01-01

    The 1993 paper in "IJAIED" on evaluation methods for Intelligent Tutoring Systems (ITS) still holds up well today. Basic evaluation techniques described in that paper remain in use. Approaches such as kappa scores, simulated learners and learning curves are refinements on past evaluation techniques. New approaches have also arisen, in…

  4. A New Intelligent Tutoring System

    Science.gov (United States)

    Ford, Lindsey

    2008-01-01

    Early in 1984, Logica started an ICAI research contract with MoD (Procurement Executive), which was to be undertaken in collaboration with the technical authority at the Royal Signals and Radar Establishment, Malvern. A prototype system, which has become known as TUTOR, was scheduled for delivery to the client later in 1985. Initially, and for…

  5. A New Intelligent Tutoring System

    Science.gov (United States)

    Ford, Lindsey

    2008-01-01

    Early in 1984, Logica started an ICAI research contract with MoD (Procurement Executive), which was to be undertaken in collaboration with the technical authority at the Royal Signals and Radar Establishment, Malvern. A prototype system, which has become known as TUTOR, was scheduled for delivery to the client later in 1985. Initially, and for…

  6. Intelligent tutoring agent for settlers of Catan

    OpenAIRE

    2006-01-01

    An Intelligent Tutoring Agent (ITA) for the board game Settlers of Catan (SoC) is introduced. It uses CLIPS knowledge bases, connected by JCLIPS to a JAVA implementation of SoC. It is founded on a new theoretical framework that describes the development of negotiation skills in children. Using this framework, the ITA helps children in developing negotiation skills through play, which makes it unique in its kind.

  7. The INTELLIGENT RuleTutor: A Structured Approach to Intelligent Tutoring. Final Report.

    Science.gov (United States)

    Scandura, Alice B.

    This final report describes a general purpose system for developing intelligent tutors based on the Structural Learning Theory. The report opens with a discussion of the rules and related constructs that underlie cognitive constructs in all structural learning theories. The remainder of the text provides: (1) an introduction to the Structural…

  8. Effectiveness of Intelligent Tutoring Systems: A Meta-Analytic Review

    Science.gov (United States)

    Kulik, James A.; Fletcher, J. D.

    2016-01-01

    This review describes a meta-analysis of findings from 50 controlled evaluations of intelligent computer tutoring systems. The median effect of intelligent tutoring in the 50 evaluations was to raise test scores 0.66 standard deviations over conventional levels, or from the 50th to the 75th percentile. However, the amount of improvement found in…

  9. Architecture for an Adaptive and Intelligent Tutoring System That Considers the Learner's Multiple Intelligences

    Science.gov (United States)

    Hafidi, Mohamed; Bensebaa, Taher

    2015-01-01

    The majority of adaptive and intelligent tutoring systems (AITS) are dedicated to a specific domain, allowing them to offer accurate models of the domain and the learner. The analysis produced from traces left by the users is didactically very precise and specific to the domain in question. It allows one to guide the learner in case of difficulty…

  10. EarthTutor: An Interactive Intelligent Tutoring System for Remote Sensing

    Science.gov (United States)

    Bell, A. M.; Parton, K.; Smith, E.

    2005-12-01

    Earth science classes in colleges and high schools use a variety of satellite image processing software to teach earth science and remote sensing principles. However, current tutorials for image processing software are often paper-based or lecture-based and do not take advantage of the full potential of the computer context to teach, immerse, and stimulate students. We present EarthTutor, an adaptive, interactive Intelligent Tutoring System (ITS) being built for NASA (National Aeronautics and Space Administration) that is integrated directly with an image processing application. The system aims to foster the use of satellite imagery in classrooms and encourage inquiry-based, hands-on earth science scientific study by providing students with an engaging imagery analysis learning environment. EarthTutor's software is available as a plug-in to ImageJ, a free image processing system developed by the NIH (National Institute of Health). Since it is written in Java, it can be run on almost any platform and also as an applet from the Web. Labs developed for EarthTutor combine lesson content (such as HTML web pages) with interactive activities and questions. In each lab the student learns to measure, calibrate, color, slice, plot and otherwise process and analyze earth science imagery. During the activities, EarthTutor monitors students closely as they work, which allows it to provide immediate feedback that is customized to a particular student's needs. As the student moves through the labs, EarthTutor assesses the student, and tailors the presentation of the content to a student's demonstrated skill level. EarthTutor's adaptive approach is based on emerging Artificial Intelligence (AI) research. Bayesian networks are employed to model a student's proficiency with different earth science and image processing concepts. Agent behaviors are used to track the student's progress through activities and provide guidance when a student encounters difficulty. Through individual

  11. Emotion Elicitation in a Socially Intelligent Service: The Typing Tutor

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    Andrej Košir

    2017-03-01

    Full Text Available This paper presents an experimental study on modeling machine emotion elicitation in a socially intelligent service, the typing tutor. The aim of the study is to evaluate the extent to which the machine emotion elicitation can influence the affective state (valence and arousal of the learner during a tutoring session. The tutor provides continuous real-time emotion elicitation via graphically rendered emoticons, as an emotional feedback to learner’s performance. Good performance is rewarded by the positive emoticon, based on the notion of positive reinforcement. Facial emotion recognition software is used to analyze the affective state of the learner for later evaluation. Experimental results show the correlation between the positive emoticon and the learner’s affective state is significant for all 13 (100% test participants on the arousal dimension and for 9 (69% test participants on both affective dimensions. The results also confirm our hypothesis and show that the machine emotion elicitation is significant for 11 (85% of 13 test participants. We conclude that the machine emotion elicitation with simple graphical emoticons has a promising potential for the future development of the tutor.

  12. User documentation for the MSK and OMS intelligent tutoring systems

    Science.gov (United States)

    Fink, Pamela K.; Herren, L. Tandy; Lincoln, David T.

    1991-01-01

    This user's guide describes how to use the Intelligent Tutoring Systems for the Manual Select Keyboard (MSK) and the Orbital Maneuvering System (OMS) and how to use the C code that runs the mockup version of the MSK.

  13. Some Experiences with Two Intelligent Tutoring Systems for Teaching Computer Programming: PROUST and the LISP-Tutor

    NARCIS (Netherlands)

    van Merrienboer, J.; Maaswinkel, D.; van den Berg, Klaas; Pieters, J.M.

    1989-01-01

    In this article, we report on our experiences with PROUST and the LISP-Tutor, which are intelligent tutoring systems (ITS) for teaching introductory programming in respectively Pascal and LISP. After a brief discussion of the history of intelligent programming tutors, and the presentation of a

  14. Intelligent tutoring system for clinical reasoning skill acquisition in dental students.

    Science.gov (United States)

    Suebnukarn, Siriwan

    2009-10-01

    Learning clinical reasoning is an important core activity of the modern dental curriculum. This article describes an intelligent tutoring system (ITS) for clinical reasoning skill acquisition. The system is designed to provide an experience that emulates that of live human-tutored problem-based learning (PBL) sessions as much as possible, while at the same time permitting the students to participate collaboratively from disparate locations. The system uses Bayesian networks to model individual student knowledge and activity, as well as that of the group. Tutoring algorithms use the models to generate tutoring hints. The system incorporates a multimodal interface that integrates text and graphics so as to provide a rich communication channel between the students and the system, as well as among students in the group. Comparison of learning outcomes shows that student clinical reasoning gains from the ITS are similar to those obtained from human-tutored sessions.

  15. Complementary Machine Intelligence and Human Intelligence in Virtual Teaching Assistant for Tutoring Program Tracing

    Science.gov (United States)

    Chou, Chih-Yueh; Huang, Bau-Hung; Lin, Chi-Jen

    2011-01-01

    This study proposes a virtual teaching assistant (VTA) to share teacher tutoring tasks in helping students practice program tracing and proposes two mechanisms of complementing machine intelligence and human intelligence to develop the VTA. The first mechanism applies machine intelligence to extend human intelligence (teacher answers) to evaluate…

  16. Peer Tutoring: An Economical Instructional Model.

    Science.gov (United States)

    Lundell, Kerth T.; Brown, William E.

    1979-01-01

    A peer tutoring model is described and suggestions for implementing peer tutoring programs are provided. The seven steps in the development of a peer tutoring program are: establishing a need, considering curriculum, assessing, selecting learners, selecting tutors, monitoring, and coordinating. (PHR)

  17. Towards a Collaborative Intelligent Tutoring System Classification Scheme

    Science.gov (United States)

    Harsley, Rachel

    2014-01-01

    This paper presents a novel classification scheme for Collaborative Intelligent Tutoring Systems (CITS), an emergent research field. The three emergent classifications of CITS are unstructured, semi-structured, and fully structured. While all three types of CITS offer opportunities to improve student learning gains, the full extent to which these…

  18. Analysing Student Programs in the PHP Intelligent Tutoring System

    Science.gov (United States)

    Weragama, Dinesha; Reye, Jim

    2014-01-01

    Programming is a subject that many beginning students find difficult. The PHP Intelligent Tutoring System (PHP ITS) has been designed with the aim of making it easier for novices to learn the PHP language in order to develop dynamic web pages. Programming requires practice. This makes it necessary to include practical exercises in any ITS that…

  19. The Acceptability and Efficacy of an Intelligent Social Tutoring System

    Science.gov (United States)

    Sanchez, Rebecca Polley; Bartel, Chelsea M; Brown, Emily; DeRosier, Melissa

    2014-01-01

    This study tested the acceptability and efficacy of an innovative intelligent tutoring system (ITS), "Adventures Aboard the S.S. GRIN," that translates the evidence-based in-person Social Skills Group Intervention (SSGRIN), into an interactive game-based social tutorial. This randomized controlled pilot trial tested the first half of the…

  20. An agent-based intelligent tutoring system for nurse education

    NARCIS (Netherlands)

    Hospers, M.; Kroezen, E.; Nijholt, A.; Akker, op den R.; Heylen, D.

    2003-01-01

    This report describes the development of a teaching environment that uses agents to support learning. An Intelligent Tutoring System will be described, that guides students during learning. This system is meant for nurse education in the first place, but it is generic in the sense that the core is s

  1. An Agent-based Intelligent Tutoring System for Nurse Education

    NARCIS (Netherlands)

    Hospers, M.A.; Kroezen, E.; Nijholt, Antinus; op den Akker, Hendrikus J.A.; Heylen, Dirk K.J.

    This report describes the development of a teaching environment that uses agents to support learning. An Intelligent Tutoring System will be described, that guides students during learning. This system is meant for nurse education in the first place, but it is generic in the sense that the core is

  2. Analysing Student Programs in the PHP Intelligent Tutoring System

    Science.gov (United States)

    Weragama, Dinesha; Reye, Jim

    2014-01-01

    Programming is a subject that many beginning students find difficult. The PHP Intelligent Tutoring System (PHP ITS) has been designed with the aim of making it easier for novices to learn the PHP language in order to develop dynamic web pages. Programming requires practice. This makes it necessary to include practical exercises in any ITS that…

  3. A Flowchart-Based Intelligent Tutoring System for Improving Problem-Solving Skills of Novice Programmers

    Science.gov (United States)

    Hooshyar, D.; Ahmad, R. B.; Yousefi, M.; Yusop, F. D.; Horng, S.-J.

    2015-01-01

    Intelligent tutoring and personalization are considered as the two most important factors in the research of learning systems and environments. An effective tool that can be used to improve problem-solving ability is an Intelligent Tutoring System which is capable of mimicking a human tutor's actions in implementing a one-to-one personalized and…

  4. An Interview Reflection on "Intelligent Tutoring Goes to School in the Big City"

    Science.gov (United States)

    Koedinger, Kenneth R.; Aleven, Vincent

    2016-01-01

    Our 1997 article in "IJAIED" reported on a study that showed that a new algebra curriculum with an embedded intelligent tutoring system (the Algebra Cognitive Tutor) dramatically enhanced high-school students' learning. The main motivation for the study was to demonstrate that intelligent tutors that have cognitive science research…

  5. A Flowchart-Based Intelligent Tutoring System for Improving Problem-Solving Skills of Novice Programmers

    Science.gov (United States)

    Hooshyar, D.; Ahmad, R. B.; Yousefi, M.; Yusop, F. D.; Horng, S.-J.

    2015-01-01

    Intelligent tutoring and personalization are considered as the two most important factors in the research of learning systems and environments. An effective tool that can be used to improve problem-solving ability is an Intelligent Tutoring System which is capable of mimicking a human tutor's actions in implementing a one-to-one personalized and…

  6. An Evaluation of the Generalized Intelligent Framework for Tutoring (GIFT) from an Author’s Perspective

    Science.gov (United States)

    2014-12-01

    SCHOLAR, developed in 1970 in the form of an education tutor ( Carbonell 1970). This was a very basic form of intelligent tutoring; many have been...group instruction as effective as one- to-one tutoring. Educational Researcher. 1984;13(6):4–16. Carbonell . AI in CAI: an artificial intelligence

  7. The Effects of ExcelTutor Software Desing an Intelligent Tutoring Sysytem on Learning

    OpenAIRE

    2007-01-01

    The purpose of this study is to examine the effects of ExcelTUTOR drill software on achievement of students, which was design as computer based intelligent tutoring system, developed by the researcher. In this study, pretest- post test with control group, which is one of the experimental research designs, was used. The experimental and control groups of the study were composed of 20 students for each group, totally 40 students who went to Gazi University, Kırşehir Faculty of Education, Social...

  8. Contributions of Minimax Theory to Instructional Decision Making in Intelligent Tutoring Systems.

    Science.gov (United States)

    Vos, H. J.

    1999-01-01

    Formulates decision rules for adapting the appropriate amount of instruction to learning needs in intelligent-tutoring systems. Highlights include minimax decision theory (a minimum information approach), a binomial model, and a comparison of the Bayesian decision component in the Minnesota Adaptive Instructional System and the minimax strategy.…

  9. 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)

  10. Plan-based delivery composition in intelligent tutoring systems for introductory computer programming

    NARCIS (Netherlands)

    Krammer, H.P.M.; van Merrienboer, J.J.G.; van Merrienboer, Jeroen J.G.; Maaswinkel, Rudolf M.

    1994-01-01

    In a shell system for the generation of intelligent tutoring systems, the instructional model that one applies should be variable independent of the content of instruction. In this article, a taxonomy of content elements is presented in order to define a relatively content-independent instructional

  11. 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.

  12. The Effects of ExcelTutor Software Desing an Intelligent Tutoring Sysytem on Learning

    Directory of Open Access Journals (Sweden)

    Sinan KAYA

    2007-12-01

    Full Text Available The purpose of this study is to examine the effects of ExcelTUTOR drill software on achievement of students, which was design as computer based intelligent tutoring system, developed by the researcher. In this study, pretest- post test with control group, which is one of the experimental research designs, was used. The experimental and control groups of the study were composed of 20 students for each group, totally 40 students who went to Gazi University, Kırşehir Faculty of Education, Social Sciences Teaching Program in 2004-2005 term and they attended “Using Computer in Social Sciences” selective course. Experimental and control group students were chosen randomly. To collect the data, two tests were developed by the researcher. One of the tests was named pre-test and the other was called as post-test. Both of which included 25 multiple choice questions. While testing the hypotheses, one way variance analysis and covariance were used. The analysis was done at 0.05 significance level. As a result, ExcelTUTOR drill software design as computer based intelligent tutoring system was found contributing to learning.

  13. Development of a personal-computer-based intelligent tutoring system

    Science.gov (United States)

    Mueller, Stephen J.

    1988-01-01

    A large number of Intelligent Tutoring Systems (ITSs) have been built since they were first proposed in the early 1970's. Research conducted on the use of the best of these systems has demonstrated their effectiveness in tutoring in selected domains. A prototype ITS for tutoring students in the use of CLIPS language: CLIPSIT (CLIPS Intelligent Tutor) was developed. For an ITS to be widely accepted, not only must it be effective, flexible, and very responsive, it must also be capable of functioning on readily available computers. While most ITSs have been developed on powerful workstations, CLIPSIT is designed for use on the IBM PC/XT/AT personal computer family (and their clones). There are many issues to consider when developing an ITS on a personal computer such as the teaching strategy, user interface, knowledge representation, and program design methodology. Based on experiences in developing CLIPSIT, results on how to address some of these issues are reported and approaches are suggested for maintaining a powerful learning environment while delivering robust performance within the speed and memory constraints of the personal computer.

  14. Notes on the Components for Intelligent Tutoring Systems

    Directory of Open Access Journals (Sweden)

    Ladislav Samuelis

    2007-08-01

    Full Text Available The aim of this contribution is to present briefly several views on the componentsfor the intelligent tutoring systems (ITSs and to analyze the concepts behind them. We willbriefly analyze the concepts provided by the classical machine learning (ML approachesand then we discuss the role of the components in distributed environment. Finally wesynthesize the converging trends of the ITSs technologies and try to outline further possibleresearch directions in building ITS from components.

  15. 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...

  16. Designing a Feedback Component of an Intelligent Tutoring System for Foreign Language

    Science.gov (United States)

    Ferreira, Anita; Atkinson, John

    In this paper, we provide a model of corrective feedback generation for an intelligent tutoring system for Spanish as a Foreign Language. We have studied two kind of strategies: ( 1) Giving-Answer Strategies (GAS), where the teacher directly gives the desired target form or indicates the location of the error, and (2) Prompting-Answer Strategies (PAS), where the teacher pushes the student less directly to notice and repair their own error. Based on different experimental settings and comparisons with face-to-face tutoring mode, we propose the design of a component of effective teaching strategies into ITS for Spanish as a foreign language.

  17. Intelligent Tutoring Systems: Past, Present, and Future.

    Science.gov (United States)

    1994-05-01

    system with intermediate representations (Technical Report). Pittsburgh, PA : University of Pitburgh, Learning Research & Development Center. Bower, G...New York: Holt Rinehart & Winston. Olaser, R. (1976). hbe processes of intelligence and educaion , In L. B. Resnick (Ed.), Mx nmioflmrwlmxz, (pp. 341

  18. Artificial intelligence and tutoring systems computational and cognitive approaches to the communication of knowledge

    CERN Document Server

    Wenger, Etienne

    2014-01-01

    Artificial Intelligence and Tutoring Systems: Computational and Cognitive Approaches to the Communication of Knowledge focuses on the cognitive approaches, methodologies, principles, and concepts involved in the communication of knowledge. The publication first elaborates on knowledge communication systems, basic issues, and tutorial dialogues. Concerns cover natural reasoning and tutorial dialogues, shift from local strategies to multiple mental models, domain knowledge, pedagogical knowledge, implicit versus explicit encoding of knowledge, knowledge communication, and practical and theoretic

  19. Investigating the Relationship between Dialogue Structure and Tutoring Effectiveness: A Hidden Markov Modeling Approach

    Science.gov (United States)

    Boyer, Kristy Elizabeth; Phillips, Robert; Ingram, Amy; Ha, Eun Young; Wallis, Michael; Vouk, Mladen; Lester, James

    2011-01-01

    Identifying effective tutorial dialogue strategies is a key issue for intelligent tutoring systems research. Human-human tutoring offers a valuable model for identifying effective tutorial strategies, but extracting them is a challenge because of the richness of human dialogue. This article addresses that challenge through a machine learning…

  20. The Effect of an Intelligent Tutoring System (ITS) on Student Achievement in Algebraic Expression

    Science.gov (United States)

    Chien, Tsai Chen; Md. Yunus, Aida Suraya; Ali, Wan Zah Wan; Bakar, Ab. Rahim

    2008-01-01

    In this experimental study, use of Computer Assisted Instruction (CAI) followed by use of an Intelligent Tutoring System (CAI+ITS) was compared to the use of CAI (CAI only) in tutoring students on the topic of Algebraic Expression. Two groups of students participated in the study. One group of 32 students studied algebraic expression in a CAI…

  1. Instructional Design and Intelligent Tutoring: Theory and the Precision of Design.

    Science.gov (United States)

    Capell, Peter; Dannenberg, Roger B.

    1993-01-01

    Discusses instructional design methods used in intelligent tutoring systems (ITS) and describes the application of instructional systems design to the creation of an ITS called Piano Tutor, a multimedia workstation that is designed to provide first-year piano lessons. The ITS curriculum is analyzed, including critical lessons and skill groups.…

  2. Evolution of an Intelligent Deductive Logic Tutor Using Data-Driven Elements

    Science.gov (United States)

    Mostafavi, Behrooz; Barnes, Tiffany

    2017-01-01

    Deductive logic is essential to a complete understanding of computer science concepts, and is thus fundamental to computer science education. Intelligent tutoring systems with individualized instruction have been shown to increase learning gains. We seek to improve the way deductive logic is taught in computer science by developing an intelligent,…

  3. Evolution of an Intelligent Deductive Logic Tutor Using Data-Driven Elements

    Science.gov (United States)

    Mostafavi, Behrooz; Barnes, Tiffany

    2017-01-01

    Deductive logic is essential to a complete understanding of computer science concepts, and is thus fundamental to computer science education. Intelligent tutoring systems with individualized instruction have been shown to increase learning gains. We seek to improve the way deductive logic is taught in computer science by developing an intelligent,…

  4. Note-Taking within MetaTutor: Interactions between an Intelligent Tutoring System and Prior Knowledge on Note-Taking and Learning

    Science.gov (United States)

    Trevors, Gregory; Duffy, Melissa; Azevedo, Roger

    2014-01-01

    Hypermedia learning environments (HLE) unevenly present new challenges and opportunities to learning processes and outcomes depending on learner characteristics and instructional supports. In this experimental study, we examined how one such HLE--MetaTutor, an intelligent, multi-agent tutoring system designed to scaffold cognitive and…

  5. Intelligent Tutor with Emotion Recognition and Student Emotion Management for Math Performance

    Directory of Open Access Journals (Sweden)

    Mari­a Luci­a Barron Estrada

    2014-10-01

    Full Text Available This research presents the development, implementation, and testing of an Intelligent Tutoring System for math in third grade elementary students, it identifies and manages the emotional state of the student; it produces affective feedback for the student during the course that also it is part of a social network. Emotions are recognized via facial expressions by means of an artificial neural network. The social network and the intelligent tutoring system with affective management have been tested in public and private elementary schools with very satisfying results.

  6. Learning Software Component Model for Online Tutoring

    Directory of Open Access Journals (Sweden)

    K. Duraiswamy

    2012-01-01

    Full Text Available Problem statement: Web services are interface elements which allow applications to render functional services to requesting clients using open standard protocols. A lecture method combines both social association and urban processing as course design and delivery is termed as Interface Learning. Many Interface learning services is presenting through online. To make an online tutoring scheme more effective, the previous study used web services and application programs like instant messaging based on environments in which students reside. But the downside is that it is difficult to maintain the service request queues online. The services and data storage processes are inefficient. Approach: To overcome all the above issues, a Learning Software Component Model (LSCM framework is formed in the present study to build a component model based on communication services available on the network. In addition to this, the proposed software component modeled with Learning Object (LO aspects integrates the related sub hierarchical components with the main component object framework. Based on LSCM, training schedules are identified efficiently. Results: The proposed LSCM framework is experimented to show the performance improvement with the previous online tutoring scheme based on web services in terms of delivery report, maintenance of tutoring sessions and reliability. Conclusion: Compared to an existing online tutoring through web services, the proposed LSCM framework performance is 75% better in providing learning services to the providers.

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

    Directory of Open Access Journals (Sweden)

    Carolina GONZÁLEZ

    2013-05-01

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

  8. An intelligent computer tutor to guide self-explanation while learning from examples

    Science.gov (United States)

    Conati, Cristina

    1999-11-01

    Many studies in cognitive science show that self-explanation---the process of clarifying and making more complete to oneself the solution of an example---improves learning, and that guiding self-explanation extends these benefits. This thesis presents an intelligent computer tutor that aims to improve learning from examples by supporting self-explanation. The tutor, known as the SE (self-explanation) Coach, is innovative in two ways. First, it represents the first attempt to develop a computer tutor that supports example studying instead of problem solving. Second, it explicitly guides a domain-general, meta-cognitive skill: self-explanation. The SE-Coach is part of the Andes tutoring system for college physics and is meant to be used in conjunction with the problem solving tasks that Andes supports. In order to maximize the system capability to trigger the same beneficial cognitive processes, every element of the SE-Coach embeds existing hypotheses about the features that make self-explanation effective for learning. Designing the SE-Coach involved finding solutions for three main challenges: (1) To design an interface that effectively monitors and supports self-explanation. (2) To devise a student model that allows the assessment of example understanding from reading and self-examination actions. (3) To effectively elicit further self-explanation that improves student's example understanding. In this work we present our solutions to these challenges: (1) An interface including principled, interactive tools to explore examples and build self-explanations under the SECoach's supervision. (2) A probabilistic student model based on a Bayesian network, which integrates a model of correct self-explanation and information on the student's knowledge and studying actions to generate a probabilistic assessment of the student's example understanding. (3) Tutorial interventions that rely on the student model to detect deficits in the student's example understanding and

  9. Beyond Intelligent Tutoring Systems: Using Computers as METAcognitive Tools To Enhance Learning?

    Science.gov (United States)

    Azevedo, Roger

    2002-01-01

    Framed by theoretical and empirical research on cognitive and intelligent tutoring systems (ITSs), this commentary explores two areas. The first focuses on lack of conceptual clarity of the proposed constructivist stance and its related constructs. The second deals with similarities between the proposed stance and existing approaches documented in…

  10. Analyzing Learner Language: Towards a Flexible Natural Language Processing Architecture for Intelligent Language Tutors

    Science.gov (United States)

    Amaral, Luiz; Meurers, Detmar; Ziai, Ramon

    2011-01-01

    Intelligent language tutoring systems (ILTS) typically analyze learner input to diagnose learner language properties and provide individualized feedback. Despite a long history of ILTS research, such systems are virtually absent from real-life foreign language teaching (FLT). Taking a step toward more closely linking ILTS research to real-life…

  11. Effects of Intelligent Tutoring Systems in Basic Algebra Courses on Subsequent Mathematics Lecture Courses

    Science.gov (United States)

    Hrubik-Vulanovic, Tatjana

    2013-01-01

    The purpose of this study was to investigate how intelligent tutoring system ALEKS, which was implemented in remedial Basic Algebra courses, affected students' success in subsequent lecture courses and how former ALEKS students and instructors in lecture courses perceived ALEKS learning environment. ALEKS courses were delivered in emporium style:…

  12. Using an Intelligent Tutor and Math Fluency Training to Improve Math Performance

    Science.gov (United States)

    Arroyo, Ivon; Royer, James M.; Woolf, Beverly P.

    2011-01-01

    This article integrates research in intelligent tutors with psychology studies of memory and math fluency (the speed to retrieve or calculate answers to basic math operations). It describes the impact of computer software designed to improve either strategic behavior or math fluency. Both competencies are key to improved performance and both…

  13. Effects of Intelligent Tutoring Systems in Basic Algebra Courses on Subsequent Mathematics Lecture Courses

    Science.gov (United States)

    Hrubik-Vulanovic, Tatjana

    2013-01-01

    The purpose of this study was to investigate how intelligent tutoring system ALEKS, which was implemented in remedial Basic Algebra courses, affected students' success in subsequent lecture courses and how former ALEKS students and instructors in lecture courses perceived ALEKS learning environment. ALEKS courses were delivered in emporium style:…

  14. Evaluation of AnimalWatch: An Intelligent Tutoring System for Arithmetic and Fractions

    Science.gov (United States)

    Beal, Carole R.; Arroyo, Ivon M.; Cohen, Paul R.; Woolf, Beverly P.

    2010-01-01

    Three studies were conducted with middle school students to evaluate a web-based intelligent tutoring system (ITS) for arithmetic and fractions. The studies involved pre and post test comparisons, as well as group comparisons to assess the impact of the ITS on students' math problem solving. Results indicated that students improved from pre to…

  15. Differences between Intelligent Tutor Lessons, and the Choice to Go Off-Task

    Science.gov (United States)

    Baker, Ryan S. J. d.

    2009-01-01

    Recent research has suggested that differences between intelligent tutor lessons predict a large amount of the variance in the prevalence of gaming the system. Within this paper, we investigate whether such differences also predict how much students choose to go off-task, and if so, which differences predict how much off-task behavior will occur.…

  16. 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…

  17. PRABODH: An Intelligent Tutor for Teaching Language Skills to Young Children.

    Science.gov (United States)

    Govil, Rekha; Saxena, Madhavi

    1997-01-01

    Describes the architecture of PRABODH, an intelligent tutoring system with six components, designed for teaching language skills to young children and for providing them meaningful practice for developing grammar skills. Discusses PRABODH's language-learning philosophy, results of formative evaluation of its knowledge component, and overall impact…

  18. Evaluating an Intelligent Tutoring System for Design Patterns: The DEPTHS Experience

    Science.gov (United States)

    Jeremic, Zoran; Jovanovic, Jelena; Gasevic, Dragan

    2009-01-01

    The evaluation of intelligent tutoring systems (ITSs) is an important though often neglected stage of ITS development. There are many evaluation methods available but literature does not provide clear guidelines for the selection of evaluation method(s) to be used in a particular context. This paper describes the evaluation study of DEPTHS, an…

  19. Investigating Pre-Service Mathematics Teachers' Innovation Awareness and Views Regarding Intelligent Tutoring Systems

    Science.gov (United States)

    Erdemir, Mustafa; Ingeç, Sebnem Kandil

    2016-01-01

    The purpose of this study is to identify pre-service primary mathematics teachers' views regarding on Web-based Intelligent Tutoring Systems (WBITS) in relation to its usability and influence on teaching. A survey method was used. The study was conducted with 43 students attending the mathematics teaching program under the department of elementary…

  20. An Artificial Intelligence Tutor: A Supplementary Tool for Teaching and Practicing Braille

    Science.gov (United States)

    McCarthy, Tessa; Rosenblum, L. Penny; Johnson, Benny G.; Dittel, Jeffrey; Kearns, Devin M.

    2016-01-01

    Introduction: This study evaluated the usability and effectiveness of an artificial intelligence Braille Tutor designed to supplement the instruction of students with visual impairments as they learned to write braille contractions. Methods: A mixed-methods design was used, which incorporated a single-subject, adapted alternating treatments design…

  1. Constraint-Based Modeling: From Cognitive Theory to Computer Tutoring--and Back Again

    Science.gov (United States)

    Ohlsson, Stellan

    2016-01-01

    The ideas behind the constraint-based modeling (CBM) approach to the design of intelligent tutoring systems (ITSs) grew out of attempts in the 1980's to clarify how declarative and procedural knowledge interact during skill acquisition. The learning theory that underpins CBM was based on two conceptual innovations. The first innovation was to…

  2. An Approach to Building a Learning Management System that Emphasizes on Incorporating Individualized Dissemination with Intelligent Tutoring

    Science.gov (United States)

    Ghosh, Sreya

    2016-06-01

    This article proposes a new six-model architecture for an intelligent tutoring system to be incorporated in a learning management system with domain-independence feature and individualized dissemination. The present six model architecture aims to simulate a human tutor. Some recent extensions of using intelligent tutoring system (ITS) explores learning management systems to behave as a real teacher during a teaching-learning process, by taking care of, mainly, the dynamic response system. However, the present paper argues that to mimic a human teacher it needs not only the dynamic response but also the incorporation of the teacher's dynamic review of students' performance and keeping track of their current level of understanding. Here, the term individualization has been used to refer to tailor making of contents and its dissemination fitting to the individual needs and capabilities of learners who is taking a course online and is subjected to teaching in absentia. This paper describes how the individual models of the proposed architecture achieves the features of ITS.

  3. An Approach to Building a Learning Management System that Emphasizes on Incorporating Individualized Dissemination with Intelligent Tutoring

    Science.gov (United States)

    Ghosh, Sreya

    2017-02-01

    This article proposes a new six-model architecture for an intelligent tutoring system to be incorporated in a learning management system with domain-independence feature and individualized dissemination. The present six model architecture aims to simulate a human tutor. Some recent extensions of using intelligent tutoring system (ITS) explores learning management systems to behave as a real teacher during a teaching-learning process, by taking care of, mainly, the dynamic response system. However, the present paper argues that to mimic a human teacher it needs not only the dynamic response but also the incorporation of the teacher's dynamic review of students' performance and keeping track of their current level of understanding. Here, the term individualization has been used to refer to tailor making of contents and its dissemination fitting to the individual needs and capabilities of learners who is taking a course online and is subjected to teaching in absentia. This paper describes how the individual models of the proposed architecture achieves the features of ITS.

  4. Building a Computer Tutor: Design Issues.

    Science.gov (United States)

    Woolf, Beverly; McDonald, David D.

    1985-01-01

    Description of several computerized tutoring systems is organized around types of knowledge any tutor must possess--subject area, student's information, and how to teach and communicate. Data and control structures of Meno-tutor are described to illustrate use of artificial intelligence to model the student, a domain, and teaching strategies. (MBR)

  5. An Intelligent Computer-Based System for Sign Language Tutoring

    Science.gov (United States)

    Ritchings, Tim; Khadragi, Ahmed; Saeb, Magdy

    2012-01-01

    A computer-based system for sign language tutoring has been developed using a low-cost data glove and a software application that processes the movement signals for signs in real-time and uses Pattern Matching techniques to decide if a trainee has closely replicated a teacher's recorded movements. The data glove provides 17 movement signals from…

  6. Efektivitas Model Pembelajaran Kooperatif Tipe Student Team Achievement Division (STAD yang Dimodifikasi dengan Tutor Sebaya ditinjau dari Kecerdasan Majemuk Siswa.

    Directory of Open Access Journals (Sweden)

    Dwi Mei Heni

    2014-01-01

    Full Text Available The Effectiveness Model of Modified Student Team Achievement Division (STAD Type of Cooperative Learning with Peer tutoring Viewed from the Student’s Multiple Intelligences. This research was conducted to find out: Which learning model giving better student learning achievement, STAD or modified STAD with peer tutoring. The research population was all XI graders of Vocational School (SMK throughout Bojonegoro Regency in the school year of 2011/2012. The sampling used was stratified cluster random sampling and then chosen three schools namely SMKN 1 Bojonegoro, SMK Muhammadiyah 2 Sumberrejo, and SMK PGRI 3 Bojonegoro. Technique of analyzing data used was two-way anava 2x3 with different cell. In this research, it can be concluded that The student with the modified STAD type of cooperative learning with peer tutoring have better mathematics learning achievement than the students with STAD type of cooperative learning.   Keywords : Modified STAD with peer tutoring, Multiple Intelligences, Mathematics Learning Achievement

  7. Domain-based Teaching Strategy for Intelligent Tutoring System Based on Generic Rules

    Science.gov (United States)

    Kseibat, Dawod; Mansour, Ali; Adjei, Osei; Phillips, Paul

    In this paper we present a framework for selecting the proper instructional strategy for a given teaching material based on its attributes. The new approach is based on a flexible design by means of generic rules. The framework was adapted in an Intelligent Tutoring System to teach Modern Standard Arabic language to adult English-speaking learners with no pre-knowledge of Arabic language is required.

  8. A Heuristic Evaluation of the Generalized Intelligent Framework for Tutoring (GIFT) Authoring Tools

    Science.gov (United States)

    2016-03-01

    reuse and interoperability through standards. These goals were considered in the heuristic analysis of the authoring experience for GIFT users. 1.2...evaluations will be needed periodically as the technical goals are achieved as delineated in the research outlines that follow. • ARL Special Report...ARL-SR-0353 ● MAR 2016 US Army Research Laboratory A Heuristic Evaluation of the Generalized Intelligent Framework for Tutoring

  9. A Virtual Commanding Officer, Intelligent Tutor for the Underway Replenishment Ship-handling Virtual Environment Simulator

    OpenAIRE

    Tenney, Karl R.

    1999-01-01

    While developing a Virtual Environment (VE) Ship-handling simulator for the Surface Warfare Officer School (SWOS) in Newport, RI, researchers at the Naval Air Warfare Center Training Systems Division (NAWCTSD) in Orlando, FL recognized the idea of integrating an Intelligent Tutoring System (ITS) to provide feedback to the student The system, known as a Virtual Commanding Officer (VCO), would provide instructional feedback to the student to ensure that beneficial training occurs. The VCO would...

  10. 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

  11. Knowledge acquisition and representation for the Systems Test and Operations Language (STOL) Intelligent Tutoring System (ITS)

    Science.gov (United States)

    Seamster, Thomas L.; Eike, David R.; Ames, Troy J.

    1990-01-01

    This presentation concentrates on knowledge acquisition and its application to the development of an expert module and a user interface for an Intelligent Tutoring System (ITS). The Systems Test and Operations Language (STOL) ITS is being developed to assist NASA control center personnel in learning a command and control language as it is used in mission operations rooms. The objective of the tutor is to impart knowledge and skills that will permit the trainee to solve command and control problems in the same way that the STOL expert solves those problems. The STOL ITS will achieve this object by representing the solution space in such a way that the trainee can visualize the intermediate steps, and by having the expert module production rules parallel the STOL expert's knowledge structures.

  12. Designing and Evaluating Tutoring Feedback Strategies for Digital Learning Environments on the Basis of the Interactive Tutoring Feedback Model

    Science.gov (United States)

    Narciss, Susanne

    2013-01-01

    This paper describes the interactive tutoring feedback model (ITF-model; Narciss, 2006; 2008), and how it can be applied to the design and evaluation of feedback strategies for digital learning environments. The ITF-model conceptualizes formative tutoring feedback as a multidimensional instructional activity that aims at contributing to the…

  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. PENERAPAN MODEL PEMBELAJARAN TUTOR SEBAYA PADA MATA PELAJARAN SOSIOLOGI

    Directory of Open Access Journals (Sweden)

    Ningrum Pusporini Anggorowati

    2013-04-01

    Full Text Available Tujuan penelitian ini adalah untuk mengetahui pelaksanaannya model pembelajaran tutor sebaya (peer teaching di SMAN I Brebes. Subjek dalam penelitian ini adalah guru sosiologi kelas XI IPS 1 dan siswa kelas XI IPS 1. Hasil penelitian menunjukkan peer teaching memerlukan persiapan yang matang, dan setiap tahap pelaksanaan hendaknya dievaluasi untuk mendapatkan hasil yang baik. Faktor pendukung dalam pelaksanaan model pembelajaran tutor sebaya antara lain yaitu adanya interaksi antara guru dengan siswa, minat belajar siswa cukup tinggi, guru dan siswa lebih akrab dalam kegiatan pembelajaran, keterlibatan tutor sebaya dalam kelompok belajar membuat suasana pembelajaran lebih menarik, sedangkan faktor penghambatnya antara lain yaitu kurangnya persiapan dari para tutor, sarana dan prasarana kurang memadai, kegiatan pembelajaran kurang kondusif, dan sumber belajar kurang memadai. The objective of this study is to examine the implementation of peer tutoring learning model (peer teaching in SMAN I Brebes. Subjects in this study were teachers sociology class XI IPS 1 and class XI IPS 1. Results show that the implementation of peer teaching requires preparation, and each stage of the implementation should be evaluated to obtain good results. Factors supporting the implementation of peer tutoring learning model, among others, the interaction between teachers and students, and also student interest is high; teachers and students are more familiar in learning activities, and peer tutor involvement in the study group to make the learning environment more attractive. The inhibiting factor of peer teaching strategy include among others the lack of preparation of the tutors, inadequate infrastructure, lack of conducive learning activities, and learning resources are inadequate.

  15. A Web-Based Authoring Tool for Algebra-Related Intelligent Tutoring Systems

    Directory of Open Access Journals (Sweden)

    Maria Virvou

    2000-01-01

    Full Text Available This paper describes the development of a web-based authoring tool for Intelligent Tutoring Systems. The tool aims to be useful to teachers and students of domains that make use of algebraic equations. The initial input to the tool is a "description" of a specific domain given by a human teacher. In return the tool provides assistance at the construction of exercises by the human teacher and then monitors the students while they are solving the exercises and provides appropriate feedback. The tool incorporates intelligence in its diagnostic component, which performs error diagnosis to students’ errors. It also handles the teaching material in a flexible and individualised way.

  16. Perceived Task-Difficulty Recognition from Log-File Information for the Use in Adaptive Intelligent Tutoring Systems

    Science.gov (United States)

    Janning, Ruth; Schatten, Carlotta; Schmidt-Thieme, Lars

    2016-01-01

    Recognising students' emotion, affect or cognition is a relatively young field and still a challenging task in the area of intelligent tutoring systems. There are several ways to use the output of these recognition tasks within the system. The approach most often mentioned in the literature is using it for giving feedback to the students. The…

  17. Providing Formative Assessment to Students Solving Multipath Engineering Problems with Complex Arrangements of Interacting Parts: An Intelligent Tutor Approach

    Science.gov (United States)

    Steif, Paul S.; Fu, Luoting; Kara, Levent Burak

    2016-01-01

    Problems faced by engineering students involve multiple pathways to solution. Students rarely receive effective formative feedback on handwritten homework. This paper examines the potential for computer-based formative assessment of student solutions to multipath engineering problems. In particular, an intelligent tutor approach is adopted and…

  18. Perceived Task-Difficulty Recognition from Log-File Information for the Use in Adaptive Intelligent Tutoring Systems

    Science.gov (United States)

    Janning, Ruth; Schatten, Carlotta; Schmidt-Thieme, Lars

    2016-01-01

    Recognising students' emotion, affect or cognition is a relatively young field and still a challenging task in the area of intelligent tutoring systems. There are several ways to use the output of these recognition tasks within the system. The approach most often mentioned in the literature is using it for giving feedback to the students. The…

  19. Design of an Intelligent Tutoring System for Aircraft Recognition

    Science.gov (United States)

    1986-01-01

    auspices of the U S Dearirrient of Energy \\B Tr[ O Los Alamos National Laboratory Los Alamos,New Mexico 87545 , AM W 636 F" ST~b NoMstl2 Li 093...student model, and a communication Tail flats mid-mounted on fuselage, protocol. Storyboards and screen design are then or swept-back with rounded tips

  20. An Intelligent Tutoring System Approach to Adaptive Instructional Systems

    Science.gov (United States)

    2005-09-01

    Myers-Briggs Type Indicator ( MBTI ) defines sixteen different personality types through the use of four factors. The factors used by this model are...perceivers (Felder, 1996). Felder also describes some examples of students’ classifications and their associated learning blind spots. The MBTI usually...Keirsey Temperament Sorter is a test that is freely available online and is correlated with, but not a substitute for, the MBTI (Kiersey, 2000). Despite

  1. Intelligent On-Line Assistant and Tutor System

    Science.gov (United States)

    1976-04-01

    trying it out, as in 2; c) be able to make the correct anaphoric references ("the messages") and have an internal model of the user’s knowledge to...offset :: op 1700 C^LL 1704 DCALL 1710 LCALL 1714 DLCALL 1720 BIND call function, literal is #args,, fnname call function, discard value...RETURN 16 flags are easy/hard, active/inactive 16 16 16 16 32 TEMPORARIES Basic Frame BINDINGS 32 bits each 32 bits each : BLINK->[FLGS][CXT

  2. A Cognitive Tutor for Genetics Problem Solving: Learning Gains and Student Modeling

    Science.gov (United States)

    Corbett, Albert; Kauffman, Linda; Maclaren, Ben; Wagner, Angela; Jones, Elizabeth

    2010-01-01

    Genetics is a unifying theme of biology that poses a major challenge for students across a wide range of post-secondary institutions, because it entails complex problem solving. This article reports a new intelligent learning environment called the Genetics Cognitive Tutor, which supports genetics problem solving. The tutor presents complex,…

  3. Learning Software Component Model for Online Tutoring

    OpenAIRE

    Duraiswamy, K.; Balakrishnan, M.

    2012-01-01

    Problem statement: Web services are interface elements which allow applications to render functional services to requesting clients using open standard protocols. A lecture method combines both social association and urban processing as course design and delivery is termed as Interface Learning. Many Interface learning services is presenting through online. To make an online tutoring scheme more effective, the previous study used web services and application programs like instant messaging ba...

  4. Training effectiveness of an intelligent tutoring system for a propulsion console trainer

    Science.gov (United States)

    Johnson, Debra Steele

    1990-01-01

    A formative evaluation was conducted on an Intelligent Tutoring System (ITS) developed for tasks performed on the Propulsion Console. The ITS, which was developed primarily as a research tool, provides training on use of the Manual Select Keyboard (MSK). Three subjects completed three phases of training using the ITS: declarative, speed, and automaticity training. Data were collected on several performance dimensions, including training time, number of trials performed in each training phase, and number of errors. Information was also collected regarding the user interface and content of training. Suggestions for refining the ITS are discussed. Further, future potential uses and limitations of the ITS are discussed. The results provide an initial demonstration of the effectiveness of the Propulsion Console ITS and indicate the potential benefits of this form of training tool for related tasks.

  5. Tutoring and Multi-Agent Systems: Modeling from Experiences

    Science.gov (United States)

    Bennane, Abdellah

    2010-01-01

    Tutoring systems become complex and are offering varieties of pedagogical software as course modules, exercises, simulators, systems online or offline, for single user or multi-user. This complexity motivates new forms and approaches to the design and the modelling. Studies and research in this field introduce emergent concepts that allow the…

  6. Modeling and Evaluating Tutors' Function Using Data Mining and Fuzzy Logic Techniques

    Science.gov (United States)

    Bendjebar, Safia; Lafifi, Yacine; Seridi, Hamid

    2016-01-01

    In e-learning systems, the tutors play many roles and carry out several tasks that differ from one system to another. The activity of tutoring is influenced by many factors. One factor among them is the assignment of the appropriate profile to the tutor. For this reason, the authors propose a new approach for modeling and evaluating the function…

  7. Modeling and Evaluating Tutors' Function Using Data Mining and Fuzzy Logic Techniques

    Science.gov (United States)

    Bendjebar, Safia; Lafifi, Yacine; Seridi, Hamid

    2016-01-01

    In e-learning systems, the tutors play many roles and carry out several tasks that differ from one system to another. The activity of tutoring is influenced by many factors. One factor among them is the assignment of the appropriate profile to the tutor. For this reason, the authors propose a new approach for modeling and evaluating the function…

  8. An Evaluation of the Generalized Intelligent Framework for Tutoring (GIFT) from a Researcher’s or Analyst’s Perspective

    Science.gov (United States)

    2014-12-01

    An Evaluation of the Generalized Intelligent Framework for Tutoring (GIFT) from a Researcher’s or Analyst’s Perspective by Robert A...Sottilare, Anne M Sinatra, Julian Watson , Zachary Davis, Stefani King, and Michael D Matthews ARL-SR-0302 December 2014...to the originator. Army Research Laboratory Aberdeen Proving Ground, MD 21005-5425 ARL-SR-0302 December 2014 An Evaluation of the

  9. Designing and Evaluating Tutoring Feedback Strategies for digital learning environments on the basis of the Interactive Tutoring Feedback Model

    Directory of Open Access Journals (Sweden)

    Susanne Narciss

    2013-06-01

    Full Text Available This paper describes the interactive tutoring feedback model (ITF-model; Narciss, 2006; 2008, and how it can be applied to the design and evaluation of feedback strategies for digital learning environments. The ITF-model conceptualizes formative tutoring feedback as a multidimensional instructional activity that aims at contributing to the regulation of a learning process in order to help learners acquire or improve the competencies needed to master learning tasks. It integrates findings from systems theory with recommendations of prior research on interactive instruction and elaborated feedback, on task analyses, on error analyses, and on tutoring techniques. Based on this multi-dimensional view of formative tutoring feedback methodological implications for designing and investigating multiple effects of feedback under multiple individual and situational conditions are described. Furthermore, the paper outlines how the implications of the ITF-model have been applied in several studies to the design and evaluation of tutoring feedback strategies for digital learning environments (e.g., Narciss, 2004; Narciss & Huth, 2006; Narciss, Schnaubert, Andres, Eichelmann, Goguadze, & Sosnovsky, 2013.

  10. The Acquisition of Context Data of Study Process and their Application in Classroom and Intelligent Tutoring Systems

    Directory of Open Access Journals (Sweden)

    Bicans Janis

    2015-12-01

    Full Text Available Over the last decade, researchers are investigating the potential of the educational paradigm shift from the traditional “one-size-fits all” teaching approach to an adaptive and more personalized study process. Availability of fast mobile connections along with the portative handheld device evolution, like phones and tablets, enable teachers and learners to communicate and interact with each other in a completely different way and speed. The mentioned devices not only deliver tutoring material to the learner, but might also serve as sensors to provide data about the learning process itself, e.g., learning conditions, location, detailed information on learning of tutoring material and other information. This sensor data put into the context of the study process can be widely used to improve student experience in the classroom and e-learning by providing more precise and detailed information to the teacher and/or an intelligent tutoring system for the selection of an appropriate tutoring strategy. This paper analyses and discusses acquisition, processing, and application scenarios of contextual information.

  11. Computer Tutors Get Personal

    Science.gov (United States)

    Johnson, David L.

    2005-01-01

    After decades of research in artificial intelligence (AI) and cognitive psychology, a number of companies have emerged that offer intelligent tutor system (ITS) soft ware to schools. These systems try to mimic the help that a human tutor would provide to an individual student, something nearly impossible for teachers to accomplish in the…

  12. The Role of Probability-Based Inference in an Intelligent Tutoring System.

    Science.gov (United States)

    Mislevy, Robert J.; Gitomer, Drew H.

    Probability-based inference in complex networks of interdependent variables is an active topic in statistical research, spurred by such diverse applications as forecasting, pedigree analysis, troubleshooting, and medical diagnosis. This paper concerns the role of Bayesian inference networks for updating student models in intelligent tutoring…

  13. A Training Model for Peer Tutoring with Mentally Retarded Individuals.

    Science.gov (United States)

    Vacc, Nicholas

    A program in which mentally retarded persons are trained to tutor their peers is described. Considered are selection and training aspects of such a program, and emphasized is the importance of the relationship between tutor and student. Tutors are explained to learn principles of establishing specific plans and keeping basic records. (CL)

  14. 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.

  15. Dataset of two experiments of the application of gamified peer assessment model into online learning environment MeuTutor

    Directory of Open Access Journals (Sweden)

    Thyago Tenório

    2017-06-01

    Full Text Available In this dataset, we present the collected data of two experiments with the application of the gamified peer assessment model into online learning environment MeuTutor to allow the comparison of the obtained results with others proposed models. MeuTutor is an intelligent tutoring system aims to monitor the learning of the students in a personalized way, ensuring quality education and improving the performance of its members (Tenório et al., 2016 [1]. The first experiment evaluated the effectiveness of the peer assessment model through metrics as final grade (result, time to correct the activities and associated costs. The second experiment evaluated the gamification influence into peer assessment model, analyzing metrics as access number (logins, number of performed activities and number of performed corrections. In this article, we present in table form for each metric: the raw data of each treatment; the summarized data; the application results of the normality test Shapiro–Wilk; the application results of the statistical tests T-Test and/or Wilcoxon. The presented data in this article are related to the article entitled “A gamified peer assessment model for on-line learning environments in a competitive context” (Tenório et al., 2016 [1].

  16. Does supporting multiple student strategies lead to greater learning and motivation? Investigating a source of complexity in the architecture of intelligent tutoring systems

    NARCIS (Netherlands)

    Waalkens, Maaike; Aleven, Vincent; Taatgen, Niels

    Intelligent tutoring systems (ITS) support students in learning a complex problem-solving skill. One feature that makes an ITS architecturally complex, and hard to build, is support for strategy freedom, that is, the ability to let students pursue multiple solution strategies within a given problem.

  17. Fundamentals of the Design and the Operation of an Intelligent Tutoring System for the Learning of the Arithmetical and Algebraic Way of Solving Word Problems

    Science.gov (United States)

    Arnau, David; Arevalillo-Herraez, Miguel; Puig, Luis; Gonzalez-Calero, Jose Antonio

    2013-01-01

    Designers of interactive learning environments with a focus on word problem solving usually have to compromise between the amount of resolution paths that a user is allowed to follow and the quality of the feedback provided. We have built an intelligent tutoring system (ITS) that is able to both track the user's actions and provide adequate…

  18. Factors Affecting Feeling-of-Knowing in a Medical Intelligent Tutoring System: The Role of Immediate Feedback as a Metacognitive Scaffold

    Science.gov (United States)

    El Saadawi, Gilan M.; Azevedo, Roger; Castine, Melissa; Payne, Velma; Medvedeva, Olga; Tseytlin, Eugene; Legowski, Elizabeth; Jukic, Drazen; Crowley, Rebecca S.

    2010-01-01

    Previous studies in our laboratory have shown the benefits of immediate feedback on cognitive performance for pathology residents using an intelligent tutoring system (ITS) in pathology. In this study, we examined the effect of immediate feedback on metacognitive performance, and investigated whether other metacognitive scaffolds will support…

  19. Does Supporting Multiple Student Strategies Lead to Greater Learning and Motivation? Investigating a Source of Complexity in the Architecture of Intelligent Tutoring Systems

    Science.gov (United States)

    Waalkens, Maaike; Aleven, Vincent; Taatgen, Niels

    2013-01-01

    Intelligent tutoring systems (ITS) support students in learning a complex problem-solving skill. One feature that makes an ITS architecturally complex, and hard to build, is support for strategy freedom, that is, the ability to let students pursue multiple solution strategies within a given problem. But does greater freedom mean that students…

  20. The differential effect of basic mathematics skills homework via a web-based intelligent tutoring system across achievement subgroups and mathematics domains: a randomized field experiment

    NARCIS (Netherlands)

    Bartelet, D.; Ghysels, J.; Groot, W.; Haelermans, C.; Maassen van den Brink, H.

    2016-01-01

    This article examines an educational experiment with a unique combination of 3 elements: homework, the use of information and communication technology and a large degree of freedom of choice (student autonomy). More particularly, we study the effectiveness of a web-based intelligent tutoring system

  1. Does supporting multiple student strategies lead to greater learning and motivation? Investigating a source of complexity in the architecture of intelligent tutoring systems

    NARCIS (Netherlands)

    Waalkens, Maaike; Aleven, Vincent; Taatgen, Niels

    2013-01-01

    Intelligent tutoring systems (ITS) support students in learning a complex problem-solving skill. One feature that makes an ITS architecturally complex, and hard to build, is support for strategy freedom, that is, the ability to let students pursue multiple solution strategies within a given problem.

  2. My Science Tutor: A Conversational Multimedia Virtual Tutor

    Science.gov (United States)

    Ward, Wayne; Cole, Ron; Bolaños, Daniel; Buchenroth-Martin, Cindy; Svirsky, Edward; Weston, Tim

    2013-01-01

    My Science Tutor (MyST) is an intelligent tutoring system designed to improve science learning by elementary school students through conversational dialogs with a virtual science tutor in an interactive multimedia environment. Marni, a lifelike 3-D character, engages individual students in spoken dialogs following classroom investigations using…

  3. Undergraduate technical skills training guided by student tutors--analysis of tutors' attitudes, tutees' acceptance and learning progress in an innovative teaching model.

    Science.gov (United States)

    Weyrich, Peter; Schrauth, Markus; Kraus, Bernd; Habermehl, Daniel; Netzhammer, Nicolai; Zipfel, Stephan; Jünger, Jana; Riessen, Reimer; Nikendei, Christoph

    2008-04-09

    Skills labs provide a sheltered learning environment. As close supervision and individual feedback were proven to be important in ensuring effective skills training, we implemented a cross-year peer tutor system in our skills lab of internal medicine that allowed intense training sessions with small learning groups (3-4 students) taught by one student tutor. The expectations, experiences and criticisms of peer tutors regarding the tutor system for undergraduate skills lab training were investigated in the context of a focus group. In addition, tutees' acceptance of this learning model and of their student tutors was evaluated by means of a pre/post web-based survey. 14 voluntary senior students were intensely prepared by consultants for their peer tutor activity. 127 students participated in the project, 66.9% of which responded to the web-based survey (23 topics with help of 6-point Likert scale + free comments). Acceptance was very high (5.69 +/- 0.07, mean +/- SEM), and self-confidence ratings increased significantly after the intervention for each of the trained skills (average 1.96 +/- 0.08, all p teaching model to be sufficient, and a mere 1% expressed the wish for skills training to be provided by faculty staff only. Focus group analyses with tutors revealed 18 different topics, including profit in personal knowledge and personal satisfaction through teaching activities. The ratio of 1:4 tutor/tutees was regarded to be very beneficial for effective feedback, and the personalized online evaluation by tutees to be a strong motivator and helpful for further improvements. The tutors ascribed great importance to the continuous availability of a contact doctor in case of uncertainties. This study demonstrates that peer teaching in undergraduate technical clinical skills training is feasible and widely accepted among tutees, provided that the tutors receive sufficient training and supervision.

  4. Affect in Tutoring Dialogues

    NARCIS (Netherlands)

    Heylen, Dirk K.J.; Nijholt, Antinus; op den Akker, Hendrikus J.A.

    2005-01-01

    This paper is about INES, an intelligent, multimodal tutoring environment, and how we build a tutor agent in the environment that tries to be sensitive to the mental state of the student that interacts with it. The environment was primarily designed to help students practice nursing tasks. For

  5. Pedagogical Strategies for Human and Computer Tutoring.

    Science.gov (United States)

    Reiser, Brian J.

    The pedagogical strategies of human tutors in problem solving domains are described and the possibility of incorporating these techniques into computerized tutors is examined. GIL (Graphical Instruction in LISP), an intelligent tutoring system for LISP programming, is compared to human tutors teaching the same material in order to identify how the…

  6. Undergraduate technical skills training guided by student tutors – Analysis of tutors' attitudes, tutees' acceptance and learning progress in an innovative teaching model

    Directory of Open Access Journals (Sweden)

    Jünger Jana

    2008-04-01

    Full Text Available Abstract Background Skills labs provide a sheltered learning environment. As close supervision and individual feedback were proven to be important in ensuring effective skills training, we implemented a cross-year peer tutor system in our skills lab of internal medicine that allowed intense training sessions with small learning groups (3–4 students taught by one student tutor. Methods The expectations, experiences and criticisms of peer tutors regarding the tutor system for undergraduate skills lab training were investigated in the context of a focus group. In addition, tutees' acceptance of this learning model and of their student tutors was evaluated by means of a pre/post web-based survey. Results 14 voluntary senior students were intensely prepared by consultants for their peer tutor activity. 127 students participated in the project, 66.9% of which responded to the web-based survey (23 topics with help of 6-point Likert scale + free comments. Acceptance was very high (5.69 ± 0.07, mean ± SEM, and self-confidence ratings increased significantly after the intervention for each of the trained skills (average 1.96 ± 0.08, all p Conclusion This study demonstrates that peer teaching in undergraduate technical clinical skills training is feasible and widely accepted among tutees, provided that the tutors receive sufficient training and supervision.

  7. Using a Learning Model to Integrate Study Skills into a Peer-Tutoring Program. College Reading and Learning Assistance Technical Report 84-03.

    Science.gov (United States)

    Schmelzer, Ronald V.; And Others

    The use of a learning model in a peer tutoring program is discussed. Although the tutorial function is often a priority, the goal of the peer-tutoring program is to help students become independent learners. To eliminate the need for tutoring, it is necessary to determine why the student is having academic problems. To train peer tutors, a…

  8. An Analysis of Student Model Portability

    Science.gov (United States)

    Valdés Aguirre, Benjamín; Ramírez Uresti, Jorge A.; du Boulay, Benedict

    2016-01-01

    Sharing user information between systems is an area of interest for every field involving personalization. Recommender Systems are more advanced in this aspect than Intelligent Tutoring Systems (ITSs) and Intelligent Learning Environments (ILEs). A reason for this is that the user models of Intelligent Tutoring Systems and Intelligent Learning…

  9. Research on Intelligent Tutoring System for Bilingual Course%智能双语教学系统的研究

    Institute of Scientific and Technical Information of China (English)

    胡燕; 王锦程; 侯建华

    2011-01-01

    中的MFC技术构建双语教学软件基本界面,通过调用根据双语课程教学内容要求制作的MS Agent文件,MS Agent动画精灵可将双语教学中的文本通过TTS语音引擎技术以语音的形式输出,通过学习环境与动画形象、音效、动作、表情等的结合,实现交互式学习.这种生动形象的学习形式能充分利用多种信息载体来丰富学习方式,激发学生学习兴趣,有效补充或改善课堂教学中的缺点和不足,能很大程度提高双语教学的效果.%The design of an intelligent tutoring system is proposed based on constructivism and teaching characteristics of bilingual course, in which the function of interaction is prominent and autonomic leaming is emphasized.Implement of design is demonstrated mainly about system function design and bilingual course design about < basis of integrated circuit design>.The main interface of bilingual tutoring system was structured by MFC in Microsoft Visual C++, and interactive leaming was achieved by calling files of MS Agent made according to content of bilingual course,the animation genius of MS Agent outputting text of bilingual teaching in the form of voice was implemented by using TTS voice function, learning environment being combined with animation genius' image, audio effect ,action, expression.The vivid learning form can use fully diverse information carrier to enrich leaming mode, arousing student interest,supplementing effectively the deficiency of classroom teaching as well as improving the effect of bilingual education.

  10. The Complete Tutor.

    Science.gov (United States)

    Gardner, Howard

    2000-01-01

    Explains the relationship between computers and multiple intelligences and explores its potential. Topics include behaviorism and cognitivism; constructivism; multiple representations in the human mind, including various forms of intelligence; individual differences; the challenge of altering early representations; and machine versus human tutors.…

  11. The Complete Tutor.

    Science.gov (United States)

    Gardner, Howard

    2000-01-01

    Explains the relationship between computers and multiple intelligences and explores its potential. Topics include behaviorism and cognitivism; constructivism; multiple representations in the human mind, including various forms of intelligence; individual differences; the challenge of altering early representations; and machine versus human tutors.…

  12. Intelligent control based on intelligent characteristic model and its application

    Institute of Scientific and Technical Information of China (English)

    吴宏鑫; 王迎春; 邢琰

    2003-01-01

    This paper presents a new intelligent control method based on intelligent characteristic model for a kind of complicated plant with nonlinearities and uncertainties, whose controlled output variables cannot be measured on line continuously. The basic idea of this method is to utilize intelligent techniques to form the characteristic model of the controlled plant according to the principle of combining the char-acteristics of the plant with the control requirements, and then to present a new design method of intelli-gent controller based on this characteristic model. First, the modeling principles and expression of the intelligent characteristic model are presented. Then based on description of the intelligent characteristic model, the design principles and methods of the intelligent controller composed of several open-loops and closed-loops sub controllers with qualitative and quantitative information are given. Finally, the ap-plication of this method in alumina concentration control in the real aluminum electrolytic process is in-troduced. It is proved in practice that the above methods not only are easy to implement in engineering design but also avoid the trial-and-error of general intelligent controllers. It has taken better effect in the following application: achieving long-term stable control of low alumina concentration and increasing the controlled ratio of anode effect greatly from 60% to 80%.

  13. Formación de investigadores en medicina familiar: El modelo de tutorización en investigación Asesor-Tutor-Residente (ATR Researchers training on family medicine: The tutoring model in investigation advisory-tutor-resident (ATR

    Directory of Open Access Journals (Sweden)

    E. Raúl Ponce Rosas

    2003-04-01

    Full Text Available El tutor de la medicina de familia, los principios y características de la tutoría y la relación tutor-residente son elementos fundamentales para el desarrollo adecuado de los cursos de especialización de esta disciplina. La tutoría o tutorización en medicina familiar es la base de la docencia y se centra en la figura de una relación humana de enseñanza individualizada tutor-residente en la práctica asistencial, docente y de investigación. Los modelos de tutorización en medicina de familia proporcionan herramientas útiles para establecer una adecuada relación tutor-residente. En este trabajo se describe el modelo de tutorización en investigación Asesor-Tutor-Residente, que se lleva a cabo en el Curso de Especialización de Medicina Familiar en la Facultad de Medicina de la UNAM, México. El modelo de tutorización en investigación Asesor-Tutor-Residente (ATR, es un paradigma de capacitación teórico-práctico en esta importante y fundamental área de la medicina de familia. El modelo ATR pretende motivar e interesar a tutores y residentes para hacer investigación con base en la demostración y la supervisión formativa a través de la asesoría continua, reflexiva, planeada y sistematizada.The tutor of the family medicine, the principles and characteristics of the tutorship, and the relationship tutor-resident they are fundamental elements for the appropriate development of the courses of specialization of this discipline. The tutorship or tutoring in family medicine are the base of the teaching and it is centered in the figure of a human relationship of teaching individualized tutor-resident in the assistance, educational practice and investigation. The tutoring models in family medicine provide useful tools to establish an appropriate relationship tutor-resident. In this work is describe the tutoring model in investigation "advisory-tutor-resident" (ATR that is carried out in the Course of Specialization of Family Medicine in

  14. Tutoring at a Distance: Modelling as a Tool to Control Chaos

    Science.gov (United States)

    Bertin, Jean-Claude; Narcy-Combes, Jean-Paul

    2012-01-01

    This article builds on a previous article published in 2007, which aimed at clarifying the concept of tutoring. Based on a new epistemological stance (emergentism) the authors will here show how the various components of the computer-assisted language learning situation form a complex chaotic system. They advocate that modelling is a way of…

  15. Intelligent Mobility Modeling and Simulation

    Science.gov (United States)

    2015-03-04

    cog.cs.drexel.edu/act-r/index.html) •Models sensory / motor performance of human driver or teleoperator 27UNCLASSIFIED: Distribution Statement A. Approved for...U.S. ARMY TANK AUTOMOTIVE RESEARCH, DEVELOPMENT AND ENGINEERING CENTER Intelligent Mobility Modeling and Simulation 1 Dr. P. Jayakumar, S. Arepally...Prescribed by ANSI Std Z39-18 Contents 1. Mobility - Autonomy - Latency Relationship 2. Machine - Human Partnership 3. Development of Shared Control

  16. Research of Intelligent Tutoring System Based on Mobile System%基于移动端的智能导学系统研究

    Institute of Scientific and Technical Information of China (English)

    唐崇华

    2016-01-01

    Intelligent tutoring system is an indispensable learning tool for autonomous learners in learning society .With in‐telligent tutoring system ,learners can have a plan ,a purpose ,supervised ,an independent learning process .Learners can not only make a study plan according to their own characteristics ,but also carry out a communication with professional lectur‐ers and industry experts without barriers ,improve their professional skills continuously .Intelligent tutoring system based on the mobile side of the full use of the characteristics of mobile devices ,convenient and flexible ,make the ideal state of the 4W(Whoever、Wherever、Whenever、Whatever) of individual education in modern educational technology to a reality .%智能导学系统是学习型社会不可或缺的学习工具。通过智能导学系统,学习者可以有计划、有目的、有监督、循序渐进地自主学习。导学系统不仅可以根据学习者自身特点量身定制学习计划,而且可以和教师、专家进行无障碍交流,不断提高专业技能。基于移动端的智能导学系统,充分利用移动设备方便、灵活的优势,实现了现代教育技术专家所提出的个别化教育4W(Whoever、Wherever、Whenever、Whatever)目标。

  17. Subgroup Discovery with User Interaction Data: An Empirically Guided Approach to Improving Intelligent Tutoring Systems

    Science.gov (United States)

    Poitras, Eric G.; Lajoie, Susanne P.; Doleck, Tenzin; Jarrell, Amanda

    2016-01-01

    Learner modeling, a challenging and complex endeavor, is an important and oft-studied research theme in computer-supported education. From this perspective, Educational Data Mining (EDM) research has focused on modeling and comprehending various dimensions of learning in computer-based learning environments (CBLE). Researchers and designers are…

  18. Intelligent Tutoring Systems: Report of One Year Sabbatical Leave in the USA

    Science.gov (United States)

    1992-02-01

    1.1 The ISTS project 8 1.1.1 The Symbolics prototype 9 1.1.2 The Sun prototype 11 1.2 Results 13 2 U.S. ARMY RESEARCH INSTITUTE 15 2.1 Organon 16 2.1.1...1991). The OOA activities form the corresponding layers of the OOA model. The model includes its notation symbols and the class-&-object specifications...portrayed by its specializations which have Class-&-Object symbols . The class-&-objects and classes form the Class-&-Object layer. Identifying

  19. Model to identify mathematics topics in MXit lingo to provide tutors quick access to supporting documentation

    CSIR Research Space (South Africa)

    Butgereit, L

    2011-11-01

    Full Text Available of ?parabola? could be a subtopic in the major topic of ?algebra?. Subtopics could belong to more than one major topic; for example, the subtopic ?parabola? could also belong to the major topic ?graphs?. As with the compilation of the Create... instantiation of the ? model for integration into the Dr Math tutoring platform, mathematics topics were subdivided into topics and subtopics. The topics were algebra, geometry, trigonometry, calculus, statistics, financial mathematics, number theory...

  20. Decade Review (1999-2009): Artificial Intelligence Techniques in Student Modeling

    Science.gov (United States)

    Drigas, Athanasios S.; Argyri, Katerina; Vrettaros, John

    Artificial Intelligence applications in educational field are getting more and more popular during the last decade (1999-2009) and that is why much relevant research has been conducted. In this paper, we present the most interesting attempts to apply artificial intelligence methods such as fuzzy logic, neural networks, genetic programming and hybrid approaches such as neuro - fuzzy systems and genetic programming neural networks (GPNN) in student modeling. This latest research trend is a part of every Intelligent Tutoring System and aims at generating and updating a student model in order to modify learning content to fit individual needs or to provide reliable assessment and feedback to student's answers. In this paper, we make a brief presentation of methods used to point out their qualities and then we attempt a navigation to the most representative studies sought in the decade of our interest after classifying them according to the principal aim they attempted to serve.

  1. Socially Intelligent Tutor Agents

    NARCIS (Netherlands)

    Heylen, Dirk K.J.; Nijholt, Antinus; op den Akker, Hendrikus J.A.; Vissers, M.; Aylett, R.; Ballin, D.; Rist, T.

    2003-01-01

    Emotions and personality have received quite a lot of attention the last few years in research on embodied conversational agents. Attention is also increasingly being paid to matters of social psychology and interpersonal aspects, for work of our group). Given the nature of an embodied

  2. Pet game-based intelligent tutoring system%基于宠物游戏的智能教学系统

    Institute of Scientific and Technical Information of China (English)

    杜红燕; 曾真; 田兴彦

    2009-01-01

    By artificial pets playing educational roles to extend the student module in intelligent tutoring system (ITS), games have in-corporated with ITS. A new design structure of artificial pet game-based ITS is proposed which makes use of the design experie-nces of both traditional ITS and artificial pet games. The pet module in the structure is flexibly designed, which does track the learner' s activities and analysis their learning progress. Based on this structure, an artificial pet game-based ITS, called space-travel-with-my-pet, is de-veloped bringing educational advantages to the process of learning the elementary fraction knowledge. The testing results show that the pupils pay more attention to the learning environment, can understand and even apply more knowledge in a much shorter time.%通过利用游戏宠物扮演各种教育角色,扩展智能教学系统(intelligent tutoring system,ITS)中的学生模型,从而完成宠物游戏与ITS的有机结合.设计了一个基于宠物游戏的游戏化智能教学系统架构,架构中的宠物模块能记录学习者的学习活动、分析学习者的学习进程.基于该软件架构,实现了一款游戏化智能教学系统--宠物星际旅行,将宠物游戏的游戏化特性引入到了小学分数知识的学习过程中.测试结果表明,学生对该游戏越专注,就能越快地理解和运用所学知识.

  3. A measurement model of multiple intelligence profiles of management graduates

    Science.gov (United States)

    Krishnan, Heamalatha; Awang, Siti Rahmah

    2017-05-01

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

  4. Role modelling of clinical tutors: a focus group study among medical students.

    Science.gov (United States)

    Burgess, Annette; Goulston, Kerry; Oates, Kim

    2015-02-14

    Role modelling by clinicians assists in development of medical students' professional competencies, values and attitudes. Three core characteristics of a positive role model include 1) clinical attributes, 2) teaching skills, and 3) personal qualities. This study was designed to explore medical students' perceptions of their bedside clinical tutors as role models during the first year of a medical program. The study was conducted with one cohort (n = 301) of students who had completed Year 1 of the Sydney Medical Program in 2013. A total of nine focus groups (n = 59) were conducted with medical students following completion of Year 1. Data were transcribed verbatim. Thematic analysis was used to code and categorise data into themes. Students identified both positive and negative characteristics and behaviour displayed by their clinical tutors. Characteristics and behaviour that students would like to emulate as medical practitioners in the future included: 1) Clinical attributes: a good knowledge base; articulate history taking skills; the ability to explain and demonstrate skills at the appropriate level for students; and empathy, respect and genuine compassion for patients. 2) Teaching skills: development of a rapport with students; provision of time towards the growth of students academically and professionally; provision of a positive learning environment; an understanding of the student curriculum and assessment requirements; immediate and useful feedback; and provision of patient interaction. 3) Personal qualities: respectful interprofessional staff interactions; preparedness for tutorials; demonstration of a passion for teaching; and demonstration of a passion for their career choice. Excellence in role modelling entails demonstration of excellent clinical care, teaching skills and personal characteristics. Our findings reinforce the important function of clinical bedside tutors as role models, which has implications for faculty development and

  5. Economic modeling using artificial intelligence methods

    CERN Document Server

    Marwala, Tshilidzi

    2013-01-01

    This book examines the application of artificial intelligence methods to model economic data. It addresses causality and proposes new frameworks for dealing with this issue. It also applies evolutionary computing to model evolving economic environments.

  6. Summative Evaluation of the SINCGARS Tutor.

    Science.gov (United States)

    Orey, Michael; Zhao, Ruimin; Fan, Huey-Ling; Keenan, Ron

    1998-01-01

    Describes the results of an effectiveness evaluation of an "intelligently coached simulation," the SINCGARS Tutor, that was developed to train military officers how to operate a SINCGARS radio. Posttests showed officers trained on the computerized tutor performed more accurately than a group trained on the actual equipment. (Author/LRW)

  7. Computational Intelligence, Cyber Security and Computational Models

    CERN Document Server

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

    2014-01-01

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

  8. A model to identify mathematics topics in MXit lingo to provide tutors quick access to supporting documentation

    Directory of Open Access Journals (Sweden)

    Laurie Butgereit

    2011-11-01

    Full Text Available Dr MathTM is a mobile, online tutoring system where learners can use MXitTM on their mobile phones to receive help with their mathematics homework from volunteer tutors. These conversations between learners and Dr Math are held in MXit lingo. MXit lingo is a heavily abbreviated, English-like language that is evolving between users of mobile phones that communicate using MXit. The Dr Math project has been running since January 2007 and uses volunteer tutors who are mostly university students who readily understand and use MXit lingo. However, due to the large number of simultaneous conversations that the tutors are often involved in and the diversity of topics discussed, it would often be beneficial to provide assistance regarding the mathematics topic to the tutors. This article explains how the μ model identifies the mathematics topic in the conversation. The model identifies appropriate mathematics topics in just over 75% of conversations in a corpus of conversations identified to be about mathematics topics in the school curriculum.

  9. Evolutionary model with intelligence and knowledge

    Science.gov (United States)

    Pan, Q. H.; Yu, B. L.; He, M. F.

    2005-12-01

    An evolutionary model based on Bit-String with intelligence and learning is constructed. Each individual is represented by five bit strings. Four of them relate to genes and the other denotes the knowledge from learning. The four strings relative to genes will be divided into two parts — Bit-String A and Bit-String B. Bit-String A denotes the health of an individual, at the same time Bit-String B can describe intelligence. For an individual, the cross reproduction method is used in this model. After that we explain how knowledge is represented in our model. The probability of learning is affected by intelligence. In order to study how the accumulated knowledge influences the survival process by the effect of food and space restrictions, we modify the Verhulst factor. Then, we present the results of our simulations and discuss the evolution of population, intelligence and knowledge respectively. In addition, an equation to calculate the intelligence quotient is given based on intelligence and knowledge. We discuss the distribution of intelligence quotient.

  10. Intelligent model-based OPC

    Science.gov (United States)

    Huang, W. C.; Lai, C. M.; Luo, B.; Tsai, C. K.; Chih, M. H.; Lai, C. W.; Kuo, C. C.; Liu, R. G.; Lin, H. T.

    2006-03-01

    Optical proximity correction is the technique of pre-distorting mask layouts so that the printed patterns are as close to the desired shapes as possible. For model-based optical proximity correction, a lithographic model to predict the edge position (contour) of patterns on the wafer after lithographic processing is needed. Generally, segmentation of edges is performed prior to the correction. Pattern edges are dissected into several small segments with corresponding target points. During the correction, the edges are moved back and forth from the initial drawn position, assisted by the lithographic model, to finally settle on the proper positions. When the correction converges, the intensity predicted by the model in every target points hits the model-specific threshold value. Several iterations are required to achieve the convergence and the computation time increases with the increase of the required iterations. An artificial neural network is an information-processing paradigm inspired by biological nervous systems, such as how the brain processes information. It is composed of a large number of highly interconnected processing elements (neurons) working in unison to solve specific problems. A neural network can be a powerful data-modeling tool that is able to capture and represent complex input/output relationships. The network can accurately predict the behavior of a system via the learning procedure. A radial basis function network, a variant of artificial neural network, is an efficient function approximator. In this paper, a radial basis function network was used to build a mapping from the segment characteristics to the edge shift from the drawn position. This network can provide a good initial guess for each segment that OPC has carried out. The good initial guess reduces the required iterations. Consequently, cycle time can be shortened effectively. The optimization of the radial basis function network for this system was practiced by genetic algorithm

  11. ASPIRE: An Authoring System and Deployment Environment for Constraint-Based Tutors

    Science.gov (United States)

    Mitrovic, Antonija; Martin, Brent; Suraweera, Pramuditha; Zakharov, Konstantin; Milik, Nancy; Holland, Jay; McGuigan, Nicholas

    2009-01-01

    Over the last decade, the Intelligent Computer Tutoring Group (ICTG) has implemented many successful constraint-based Intelligent Tutoring Systems (ITSs) in a variety of instructional domains. Our tutors have proven their effectiveness not only in controlled lab studies but also in real classrooms, and some of them have been commercialized.…

  12. Assistance and Feedback Mechanism in an Intelligent Tutoring System for Teaching Conversion of Natural Language into Logic

    Science.gov (United States)

    Perikos, Isidoros; Grivokostopoulou, Foteini; Hatzilygeroudis, Ioannis

    2017-01-01

    Logic as a knowledge representation and reasoning language is a fundamental topic of an Artificial Intelligence (AI) course and includes a number of sub-topics. One of them, which brings difficulties to students to deal with, is converting natural language (NL) sentences into first-order logic (FOL) formulas. To assist students to overcome those…

  13. An Intelligence Collection Management Model.

    Science.gov (United States)

    1984-06-01

    classification of inteligence collection requirements in terms of. the a-.- metnodo"c, .ev--e in Chaster Five. 116 APPgENDIX A A METHOD OF RANKING...of Artificial Intelligence Tools and Technigues to!TN’X n~l is n rs aa~emfft-.3-ufnyva: ’A TZ Ashby W. Ecss. An Introduction to Cybernetics. New York

  14. Modelling speech intelligibility in adverse conditions

    DEFF Research Database (Denmark)

    Jørgensen, Søren; Dau, Torsten

    2013-01-01

    Jørgensen and Dau (J Acoust Soc Am 130:1475-1487, 2011) proposed the speech-based envelope power spectrum model (sEPSM) in an attempt to overcome the limitations of the classical speech transmission index (STI) and speech intelligibility index (SII) in conditions with nonlinearly processed speech....... Instead of considering the reduction of the temporal modulation energy as the intelligibility metric, as assumed in the STI, the sEPSM applies the signal-to-noise ratio in the envelope domain (SNRenv). This metric was shown to be the key for predicting the intelligibility of reverberant speech as well...... subjected to phase jitter, a condition in which the spectral structure of the intelligibility of speech signal is strongly affected, while the broadband temporal envelope is kept largely intact. In contrast, the effects of this distortion can be predicted -successfully by the spectro-temporal modulation...

  15. 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.

  16. INTELMOD - An Intelligent Satellite Modelling Toolkit

    Science.gov (United States)

    Aynsley, M.; Hiden, H.

    This paper describes the development of an intelligent, generic spacecraft modelling toolkit, INTELMOD (INTELligent MODeller). The system has been designed to provide an environment which can efficiently capture spacecraft engineering and operational expertise, coupled with mission or phase-related knowledge. This knowledge can then be applied to support human flight controllers at ESA (European Space Agency) in performing a number of generic monitoring, analytical and diagnostic tasks. INTELMOD has been developed using a RAD (Rapid Application Development) approach, based on the Dynamic Systems Development Methodology (DSDM) and has made extensive use of Commercial Off-The-Shelf (COTS) software products. INTELMOD also incorporates UNiT (Universal Intelligent Toolkit), to provide automatic execution of recovery procedures following fault detection and isolation. Users of INTELMOD require no formal programming experience, as models can be constructed with user-friendly editors that employ a “drag and drop” approach using pre- defined palettes of key components.

  17. On modeling and controlling intelligent systems

    Energy Technology Data Exchange (ETDEWEB)

    Dress, W.B.

    1993-11-01

    The aim of this paper is to show how certain diverse and advanced techniques of information processing and system theory might be integrated into a model of an intelligent, complex entity capable of materially enhancing an advanced information management system. To this end, we first examine the notion of intelligence and ask whether a semblance thereof can arise in a system consisting of ensembles of finite-state automata. Our goal is to find a functional model of intelligence in an information-management setting that can be used as a tool. The purpose of this tool is to allow us to create systems of increasing complexity and utility, eventually reaching the goal of an intelligent information management system that provides and anticipates needed data and information. We base our attempt on the ideas of general system theory where the four topics of system identification, modeling, optimization, and control provide the theoretical framework for constructing a complex system that will be capable of interacting with complex systems in the real world. These four key topics are discussed within the purview of cellular automata, neural networks, and evolutionary programming. This is a report of ongoing work, and not yet a success story of a synthetic intelligent system.

  18. On modeling and controlling intelligent systems

    Energy Technology Data Exchange (ETDEWEB)

    Dress, W.B.

    1993-11-01

    The aim of this paper is to show how certain diverse and advanced techniques of information processing and system theory might be integrated into a model of an intelligent, complex entity capable of materially enhancing an advanced information management system. To this end, we first examine the notion of intelligence and ask whether a semblance thereof can arise in a system consisting of ensembles of finite-state automata. Our goal is to find a functional model of intelligence in an information-management setting that can be used as a tool. The purpose of this tool is to allow us to create systems of increasing complexity and utility, eventually reaching the goal of an intelligent information management system that provides and anticipates needed data and information. We base our attempt on the ideas of general system theory where the four topics of system identification, modeling, optimization, and control provide the theoretical framework for constructing a complex system that will be capable of interacting with complex systems in the real world. These four key topics are discussed within the purview of cellular automata, neural networks, and evolutionary programming. This is a report of ongoing work, and not yet a success story of a synthetic intelligent system.

  19. Learning from a Computer Tutor with Natural Language Capabilities

    Science.gov (United States)

    Michael, Joel; Rovick, Allen; Glass, Michael; Zhou, Yujian; Evens, Martha

    2003-01-01

    CIRCSIM-Tutor is a computer tutor designed to carry out a natural language dialogue with a medical student. Its domain is the baroreceptor reflex, the part of the cardiovascular system that is responsible for maintaining a constant blood pressure. CIRCSIM-Tutor's interaction with students is modeled after the tutoring behavior of two experienced…

  20. Computational Intelligence. Mortality Models for the Actuary

    NARCIS (Netherlands)

    Willemse, W.J.

    2001-01-01

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

  1. 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…

  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. Instructional Applications of Artificial Intelligence.

    Science.gov (United States)

    Halff, Henry M.

    1986-01-01

    Surveys artificial intelligence and the development of computer-based tutors and speculates on the future of artificial intelligence in education. Includes discussion of the definitions of knowledge, expert systems (computer systems that solve tough technical problems), intelligent tutoring systems (ITS), and specific ITSs such as GUIDON, MYCIN,…

  4. A model for Business Intelligence Systems’ Development

    Directory of Open Access Journals (Sweden)

    Manole VELICANU

    2009-01-01

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

  5. Modeling speech intelligibility in adverse conditions

    DEFF Research Database (Denmark)

    Dau, Torsten

    2012-01-01

    by the normal as well as impaired auditory system. Jørgensen and Dau [(2011). J. Acoust. Soc. Am. 130, 1475-1487] proposed the speech-based envelope power spectrum model (sEPSM) in an attempt to overcome the limitations of the classical speech transmission index (STI) and speech intelligibility index (SII......) in conditions with nonlinearly processed speech. Instead of considering the reduction of the temporal modulation energy as the intelligibility metric, as assumed in the STI, the sEPSM applies the signal-to-noise ratio in the envelope domain (SNRenv). This metric was shown to be the key for predicting...... the intelligibility of reverberant speech as well as noisy speech processed by spectral subtraction. However, the sEPSM cannot account for speech subjected to phase jitter, a condition in which the spectral structure of speech is destroyed, while the broadband temporal envelope is kept largely intact. In contrast...

  6. Towards a universal competitive intelligence process model

    Directory of Open Access Journals (Sweden)

    Rene Pellissier

    2013-07-01

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

  7. Towards a universal competitive intelligence process model

    Directory of Open Access Journals (Sweden)

    Rene Pellissier

    2013-08-01

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

  8. Modeling Speech Intelligibility in Hearing Impaired Listeners

    DEFF Research Database (Denmark)

    Scheidiger, Christoph; Jørgensen, Søren; Dau, Torsten

    2014-01-01

    Models of speech intelligibility (SI) have a long history, starting with the articulation index (AI, [17]), followed by the SI index (SI I, [18]) and the speech transmission index (STI, [7]), to only name a few. However, these models fail to accurately predict SI with nonlinearly processed noisy...... speech, e.g. phase jitter or spectral subtraction. Recent studies predict SI for normal-hearing (NH) listeners based on a signal-to-noise ratio measure in the envelope domain (SNRenv), in the framework of the speech-based envelope power spectrum model (sEPSM, [20, 21]). These models have shown good...... agreement with measured data under a broad range of conditions, including stationary and modulated interferers, reverberation, and spectral subtraction. Despite the advances in modeling intelligibility in NH listeners, a broadly applicable model that can predict SI in hearing-impaired (HI) listeners...

  9. Modeling of Biological Intelligence for SCM System Optimization

    OpenAIRE

    Shengyong Chen; Yujun Zheng; Carlo Cattani; Wanliang Wang

    2012-01-01

    This article summarizes some methods from biological intelligence for modeling and optimization of supply chain management (SCM) systems, including genetic algorithms, evolutionary programming, differential evolution, swarm intelligence, artificial immune, and other biological intelligence related methods. An SCM system is adaptive, dynamic, open self-organizing, which is maintained by flows of information, materials, goods, funds, and energy. Traditional methods for modeling and optimizing c...

  10. Intelligent Mechatronic Systems Modeling, Control and Diagnosis

    CERN Document Server

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

    2013-01-01

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

  11. A review on intelligent sensory modelling

    Science.gov (United States)

    Tham, H. J.; Tang, S. Y.; Teo, K. T. K.; Loh, S. P.

    2016-06-01

    Sensory evaluation plays an important role in the quality control of food productions. Sensory data obtained through sensory evaluation are generally subjective, vague and uncertain. Classically, factorial multivariate methods such as Principle Component Analysis (PCA), Partial Least Square (PLS) method, Multiple Regression (MLR) method and Response Surface Method (RSM) are the common tools used to analyse sensory data. These methods can model some of the sensory data but may not be robust enough to analyse nonlinear data. In these situations, intelligent modelling techniques such as Fuzzy Logic and Artificial neural network (ANNs) emerged to solve the vagueness and uncertainty of sensory data. This paper outlines literature of intelligent sensory modelling on sensory data analysis.

  12. TOWARD COLLECTIVE INTELLIGENCE OF ONLINE COMMUNITIES: A PRIMITIVE CONCEPTUAL MODEL

    Institute of Scientific and Technical Information of China (English)

    Shuangling LUO; Haoxiang XIA; Taketoshi YOSHIDA; Zhongtuo WANG

    2009-01-01

    Inspired by the ideas of Swarm Intelligence and the "global brain", a concept of "community intelligence" is suggested in the present paper, reflecting that some "intelligent" features may emerge in a Web-mediated online community from interactions and knowledge-transmissions between the community members. This possible research field of community intelligence is then examined under the backgrounds of "community" and "intelligence" researches. Furthermore, a conceptual model of community intelligence is developed from two views. From the structural view, the community intelligent system is modeled as a knowledge supernetwork that is comprised of triple interwoven networks of the media network, the human network, and the knowledge network. Furthermore, based on a dyad of knowledge in two forms of "knowing" and "knoware", the dynamic view describes the basic mechanics of the formation and evolution of "community intelligence". A few relevant research issues are shortly discussed on the basis of the proposed conceptual model.

  13. Training Undergraduate Physics Peer Tutors

    Science.gov (United States)

    Nossal, S. M.; Jacob, A. T.

    2004-05-01

    The University of Wisconsin's Physics Peer Mentor Tutor Program matches upper level undergraduate physics students in small study groups with students studying introductory algebra-based physics. We work with students who are potentially at-risk for having academic trouble with the course. They include students with a low exam score, learning disabilities, no high school physics, weak math backgrounds, and/or on academic probation. We also work with students from groups under represented in the sciences and who may be feeling isolated or marginal on campus such as minority, returning adult, and international students. The tutors provide a supportive learning environment, extra practice problems, and an overview of key concepts. In so doing, they help our students to build confidence and problem solving skills applicable to physics and other areas of their academic careers. The Physics Peer Mentor Tutor Program is modeled after a similar program for chemistry created by the University of Wisconsin's Chemistry Learning Center. Both programs are now run in collaboration. The tutors are chosen for their academic strength and excellent communication skills. Our tutors are majoring in physics, math, and secondary-level science education. The tutors receive ongoing training and supervision throughout the year. They attend weekly discipline-specific meetings to discuss strategies for teaching the content currently being discussed in the physics course. They also participate in a weekly teaching seminar with science tutors from chemistry and biochemistry to discuss teaching methods, mentoring, and general information relating to the students with whom we work. We will describe an overview of the Physics Peer Mentor Tutor Program with a focus on the teacher training program for our undergraduate tutors.

  14. Design and Implementation of an Intelligent Educational Model Based on Personality and Learner's Emotion

    CERN Document Server

    Fatahi, Somayeh

    2010-01-01

    The Personality and emotions are effective parameters in learning process. Thus, virtual learning environments should pay attention to these parameters. In this paper, a new e-learning model is designed and implemented according to these parameters. The Virtual learning environment that is presented here uses two agents: Virtual Tutor Agent (VTA), and Virtual Classmate Agent (VCA). During the learning process and depending on events happening in the environment, learner's emotions are changed. In this situation, learning style should be revised according to the personality traits as well as the learner's current emotions. VTA selects suitable learning style for the learners based on their personality traits. To improve the learning process, the system uses VCA in some of the learning steps. VCA is an intelligent agent and has its own personality. It is designed so that it can present an attractive and real learning environment in interaction with the learner. To recognize the learner's personality, this syste...

  15. Implementing CBM: SQL-Tutor after Fifteen Years

    Science.gov (United States)

    Mitrovic, Antonija; Ohlsson, Stellan

    2016-01-01

    SQL-Tutor is the first constraint-based tutor. The initial conference papers about the system were published in 1998 (Mitrovic 1998a, 1998b, 1998c), with an "IJAIED" paper published in 1999 (Mitrovic and Ohlsson, "International Journal Artificial Intelligence in Education," 10(3-4), 238-256, 1999). We published another…

  16. Evolving Expert Knowledge Bases: Applications of Crowdsourcing and Serious Gaming to Advance Knowledge Development for Intelligent Tutoring Systems

    Science.gov (United States)

    Floryan, Mark

    2013-01-01

    This dissertation presents a novel effort to develop ITS technologies that adapt by observing student behavior. In particular, we define an evolving expert knowledge base (EEKB) that structures a domain's information as a set of nodes and the relationships that exist between those nodes. The structure of this model is not the particularly novel…

  17. Un modelo de tutoría universitaria para el aprendizaje de materiales instruccionales Um modelo de tutoría universitaria para o aprendizado de materiais de instrução A College Tutoring Model for Learning through the Use of Instructional Materials

    Directory of Open Access Journals (Sweden)

    Norma Angélica Ortega-Andrade

    2011-04-01

    Full Text Available Se exponen los resultados del estudio de un modelo diseñado para atender los problemas relacionados con la comprensión de la lectura y el aprendizaje de materiales instruccionales en estudiantes universitarios, con el apoyo del tutor. En el estudio participaron 59 tutores y 200 estudiantes de la Universidad Autónoma del Estado de Hidalgo, México. El diseño de la investigación fue cuasiexperimental, con tres grupos independientes de comparación. Se aplicó el Inventario de Estilos de Aprendizaje y Orientación Motivacional (Edaom de Castañeda y Ortega (2004, en un pretest-postest después de la intervención con el modelo durante un semestre. Los resultados indican, de manera moderada, que la intervención del tutor contribuyó a mejorar el desempeño de los estudiantes, en comparación con los otros dos grupos, y también que para el aprendizaje de materiales instruccionales se requiere entrenamiento por parte del tutor.Apresenta os resultados do estudo de um modelo concebido para resolver problemas relacionados com a compreensão de leitura e o aprendizado de materiais de instrução em estudantes universitarios com o apoio de tutores. O estudo envolveu 59 professores e 200 estudantes da Universidad Autónoma do Estado de Hidalgo no México. O desenho da pesquisa foi quase-experimental, com três grupos independentes para comparação. Nós aplicamos o Inventario de Estilos de Aprendizagem e Orientação Motivacional (Edaom de Castañeda e Ortega (2004 em um pré-teste-pós-teste após a intervenção com o modelo por um semestre. Os resultados indicam moderadamente que a intervenção do tutor ajudou para melhorar o desempenho dos alunos em comparação com os outros dois grupos, bem como que a aprendizagem de material didático necessita treinamento pelo tutor.Presents the results of a study on a model designed to address problems related to reading comprehension and learning with instructional materials among college students who

  18. Artificial Intelligence Software Engineering (AISE) model

    Science.gov (United States)

    Kiss, Peter A.

    1990-01-01

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

  19. Artificial Intelligence Software Engineering (AISE) model

    Science.gov (United States)

    Kiss, Peter A.

    1990-01-01

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

  20. Modelling speech intelligibility in adverse conditions.

    Science.gov (United States)

    Jørgensen, Søren; Dau, Torsten

    2013-01-01

    Jørgensen and Dau (J Acoust Soc Am 130:1475-1487, 2011) proposed the speech-based envelope power spectrum model (sEPSM) in an attempt to overcome the limitations of the classical speech transmission index (STI) and speech intelligibility index (SII) in conditions with nonlinearly processed speech. Instead of considering the reduction of the temporal modulation energy as the intelligibility metric, as assumed in the STI, the sEPSM applies the signal-to-noise ratio in the envelope domain (SNRenv). This metric was shown to be the key for predicting the intelligibility of reverberant speech as well as noisy speech processed by spectral subtraction. The key role of the SNRenv metric is further supported here by the ability of a short-term version of the sEPSM to predict speech masking release for different speech materials and modulated interferers. However, the sEPSM cannot account for speech subjected to phase jitter, a condition in which the spectral structure of the intelligibility of speech signal is strongly affected, while the broadband temporal envelope is kept largely intact. In contrast, the effects of this distortion can be predicted -successfully by the spectro-temporal modulation index (STMI) (Elhilali et al., Speech Commun 41:331-348, 2003), which assumes an explicit analysis of the spectral "ripple" structure of the speech signal. However, since the STMI applies the same decision metric as the STI, it fails to account for spectral subtraction. The results from this study suggest that the SNRenv might reflect a powerful decision metric, while some explicit across-frequency analysis seems crucial in some conditions. How such across-frequency analysis is "realized" in the auditory system remains unresolved.

  1. Business Intelligence Modeling in Launch Operations

    Science.gov (United States)

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

    2005-01-01

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

  2. Business intelligence modeling in launch operations

    Science.gov (United States)

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

    2005-05-01

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

  3. Intelligent Model for Traffic Safety Applications

    Directory of Open Access Journals (Sweden)

    C. Chellappan

    2012-01-01

    Full Text Available Problem statement: This study presents an analysis on road traffic system focused on the use of communications to detect dangerous vehicles on roads and highways and how it could be used to enhance driver safety. Approach: The intelligent traffic safety application model is based on all traffic flow theories developed in the last years, leading to reliable representations of road traffic, which is of major importance in achieving the attenuation of traffic problems. The model also includes the decision making process from the driver in accelerating, decelerating and changing lanes. Results: The individuality of each of these processes appears from the model parameters that are randomly generated from statistical distributions introduced as input parameters. Conclusion: This allows the integration of the individuality factor of the population elements yielding knowledge on various driving modes at wide variety of situations.

  4. Does Artificial Tutoring Foster Inquiry Based Learning?

    Science.gov (United States)

    Schmoelz, Alexander; Swertz, Christian; Forstner, Alexandra; Barberi, Alessandro

    2014-01-01

    This contribution looks at the Intelligent Tutoring Interface for Technology Enhanced Learning, which integrates multistage-learning and inquiry-based learning in an adaptive e-learning system. Based on a common pedagogical ontology, adaptive e-learning systems can be enabled to recommend learning objects and activities, which follow inquiry-based…

  5. Improving the Efficiency of Dialogue in Tutoring

    Science.gov (United States)

    Kopp, Kristopher J.; Britt, M. Anne; Millis, Keith; Graesser, Arthur C.

    2012-01-01

    The current studies investigated the efficient use of dialogue in intelligent tutoring systems that use natural language interaction. Such dialogues can be relatively time-consuming. This work addresses the question of how much dialogue is needed to produce significant learning gains. In Experiment 1, a full dialogue condition and a read-only…

  6. 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…

  7. Computational Intelligence in a Human Brain Model

    Directory of Open Access Journals (Sweden)

    Viorel Gaftea

    2016-06-01

    Full Text Available This paper focuses on the current trends in brain research domain and the current stage of development of research for software and hardware solutions, communication capabilities between: human beings and machines, new technologies, nano-science and Internet of Things (IoT devices. The proposed model for Human Brain assumes main similitude between human intelligence and the chess game thinking process. Tactical & strategic reasoning and the need to follow the rules of the chess game, all are very similar with the activities of the human brain. The main objective for a living being and the chess game player are the same: securing a position, surviving and eliminating the adversaries. The brain resolves these goals, and more, the being movement, actions and speech are sustained by the vital five senses and equilibrium. The chess game strategy helps us understand the human brain better and easier replicate in the proposed ‘Software and Hardware’ SAH Model.

  8. Computational Intelligence in a Human Brain Model

    Directory of Open Access Journals (Sweden)

    Viorel Gaftea

    2016-06-01

    Full Text Available This paper focuses on the current trends in brain research domain and the current stage of development of research for software and hardware solutions, communication capabilities between: human beings and machines, new technologies, nano-science and Internet of Things (IoT devices. The proposed model for Human Brain assumes main similitude between human intelligence and the chess game thinking process. Tactical & strategic reasoning and the need to follow the rules of the chess game, all are very similar with the activities of the human brain. The main objective for a living being and the chess game player are the same: securing a position, surviving and eliminating the adversaries. The brain resolves these goals, and more, the being movement, actions and speech are sustained by the vital five senses and equilibrium. The chess game strategy helps us understand the human brain better and easier replicate in the proposed ‘Software and Hardware’ SAH Model.

  9. Intelligence and Personal Influence in Groups: Four Nonlinear Models.

    Science.gov (United States)

    Simonton, Dean Keith

    1985-01-01

    Four models are developed to provide a conceptual basis for a curvilinear relation between intelligence and an individual's influence over group members. The models deal with influence and percentile placement in intelligence, comprehension by potential followers, vulnerability to rival intellects, and correlation between mean group IQ and the…

  10. Analysis of Cognitive Tutor Geometry Curriculum

    Science.gov (United States)

    Bibi, Tauqir

    2010-01-01

    The Carnegie Learning Cognitive Tutor curricula are based on cognitive models, which include a representation of the learner's thinking, strategies, and misconceptions. The Cognitive Tutor curricula typically speed up learning and yield greater learning as compared to traditional math curricula (Morgan & Ritter, 2002; Sarkis, 2004; Koedinger,…

  11. 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. .

  12. Intelligent Model for Video Survillance Security System

    Directory of Open Access Journals (Sweden)

    J. Vidhya

    2013-12-01

    Full Text Available Video surveillance system senses and trails out all the threatening issues in the real time environment. It prevents from security threats with the help of visual devices which gather the information related to videos like CCTV’S and IP (Internet Protocol cameras. Video surveillance system has become a key for addressing problems in the public security. They are mostly deployed on the IP based network. So, all the possible security threats exist in the IP based application might also be the threats available for the reliable application which is available for video surveillance. In result, it may increase cybercrime, illegal video access, mishandling videos and so on. Hence, in this paper an intelligent model is used to propose security for video surveillance system which ensures safety and it provides secured access on video.

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

    Science.gov (United States)

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

    2014-04-01

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

  14. ID Model Construction and Validation: A Multiple Intelligences Case

    Science.gov (United States)

    Tracey, Monica W.; Richey, Rita C.

    2007-01-01

    This is a report of a developmental research study that aimed to construct and validate an instructional design (ID) model that incorporates the theory and practice of multiple intelligences (MI). The study consisted of three phases. In phase one, the theoretical foundations of multiple Intelligences and ID were examined to guide the development…

  15. Strategic Tutor Monitoring.

    Science.gov (United States)

    Chee-kwong, Kenneth Chao

    1996-01-01

    Discusses effective tutor monitoring strategies based on experiences at the Open Learning Institute of Hong Kong. Highlights include key performance and strategic control points; situational factors, including tutor expectations and relevant culture; Theory X versus Theory Y leadership theories; and monitoring relationships with tutors. (LRW)

  16. Strategic Tutor Monitoring.

    Science.gov (United States)

    Chee-kwong, Kenneth Chao

    1996-01-01

    Discusses effective tutor monitoring strategies based on experiences at the Open Learning Institute of Hong Kong. Highlights include key performance and strategic control points; situational factors, including tutor expectations and relevant culture; Theory X versus Theory Y leadership theories; and monitoring relationships with tutors. (LRW)

  17. Research Methods Tutor: evaluation of a dialogue-based tutoring system in the classroom.

    Science.gov (United States)

    Arnott, Elizabeth; Hastings, Peter; Allbritton, David

    2008-08-01

    Research Methods Tutor (RMT) is a dialogue-based intelligent tutoring system for use in conjunction with undergraduate psychology research methods courses. RMT includes five topics that correspond to the curriculum of introductory research methods courses: ethics, variables, reliability, validity, and experimental design. We evaluated the effectiveness of the RMT system in the classroom using a nonequivalent control group design. Students in three classes (n = 83) used RMT, and students in two classes (n = 53) did not use RMT. Results indicated that the use of RMT yieldedstrong learning gains of 0.75 standard deviations above classroom instruction alone. Further, the dialogue-based tutoring condition of the system resulted in higher gains than did the textbook-style condition (CAI version) of the system. Future directions for RMT include the addition of new topics and tutoring elements.

  18. Credit Scoring Model Hybridizing Artificial Intelligence with Logistic Regression

    Directory of Open Access Journals (Sweden)

    Han Lu

    2013-01-01

    Full Text Available Today the most commonly used techniques for credit scoring are artificial intelligence and statistics. In this paper, we started a new way to use these two kinds of models. Through logistic regression filters the variables with a high degree of correlation, artificial intelligence models reduce complexity and accelerate convergence, while these models hybridizing logistic regression have better explanations in statistically significance, thus improve the effect of artificial intelligence models. With experiments on German data set, we find an interesting phenomenon defined as ‘Dimensional interference’ with support vector machine and from cross validation it can be seen that the new method gives a lot of help with credit scoring.

  19. 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.

  20. World modeling for cooperative intelligent vehicles

    NARCIS (Netherlands)

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

    2008-01-01

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

  1. Multi-level pedagogical model for the personalization of pedagogical strategies in intelligent tutoring systems

    Directory of Open Access Journals (Sweden)

    Manuel F. Caro

    2015-01-01

    Full Text Available Las estrategias pedagógicas son los planes de acción encaminados a gestionar los aspectos relacionados con la secuenciación y organización de los contenidos, especificación de las actividades de aprendizaje, y decidir cómo entregar el contenido y las actividades en los procesos de enseñanza. En este artículo se presenta un enfoque para la personalización de las estrategias pedagógicas en Sistemas Tutoriales Inteligentes utilizando reglas de conocimientos pedagógicos en un entorno Web. La adaptación de las estrategias pedagógicas que se hace con base en un modelo pedagógico multinivel. Un Sistemas Tutorial Inteligente llamado FUNPRO fue desarrollado para la validación del modelo pedagógico multinivel. Los resultados de las pruebas empíricas muestran que el modelo pedagógico multinivel permite a FUNPRO mejorar el proceso de personalización de estrategias pedagógicas debido a la reducción de las recomendaciones inapropiadas.

  2. Using and Evaluating Differential Modeling in Intelligent Tutoring and Apprentice Learning Systems.

    Science.gov (United States)

    1987-01-01

    Navy Personnel R&D Center Washington, DC 20350 San Diego, CA 92152-6800 Dr. Pat Carpenter Carnegie-Mellon UniversityDr. Michael Atwood Dr. Jeff Bonar...Oakridge Associated Universities Margaret Jerome University Programs Division Frof. Lutz F. Hornke c/o Dr. Peter Chandler P.O. Box 117 Insti ’ut fur

  3. Model of key success factors for Business Intelligence implementation

    Directory of Open Access Journals (Sweden)

    Peter Mesaros

    2016-07-01

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

  4. Computational Intelligence and Decision Making Trends and Applications

    CERN Document Server

    Madureira, Ana; Marques, Viriato

    2013-01-01

    This book provides a general overview and original analysis of new developments and applications in several areas of Computational Intelligence and Information Systems. Computational Intelligence has become an important tool for engineers to develop and analyze novel techniques to solve problems in basic sciences such as physics, chemistry, biology, engineering, environment and social sciences.   The material contained in this book addresses the foundations and applications of Artificial Intelligence and Decision Support Systems, Complex and Biological Inspired Systems, Simulation and Evolution of Real and Artificial Life Forms, Intelligent Models and Control Systems, Knowledge and Learning Technologies, Web Semantics and Ontologies, Intelligent Tutoring Systems, Intelligent Power Systems, Self-Organized and Distributed Systems, Intelligent Manufacturing Systems and Affective Computing. The contributions have all been written by international experts, who provide current views on the topics discussed and pr...

  5. A tutoring package to teach pronunciation of Mandarin Chinese characters.

    Science.gov (United States)

    Wu, Hang; Miller, L Keith

    2007-01-01

    We examined the effects of a tutoring package (verbal modeling, prompts, and contingent praise/ Chinese conversations with the tutor) on the performance of a college student's Mandarin Chinese pronunciation. The effects of the tutoring package were analyzed using a multiple baseline design across two sets of 50 Chinese characters. The tutoring package produced improvement in the student's correct pronunciation of Chinese characters from 48% (pretutoring) to 90% (posttutoring). Results suggested that the tutoring package produced mastery pronunciation of targeted Mandarin Chinese vocalizations by a nonnative speaker.

  6. Student-centered tutoring as a model for patient-centeredness and empathy

    Directory of Open Access Journals (Sweden)

    Meirovich A

    2016-07-01

    Full Text Available Adaya Meirovich,1 Rosalie Ber,2 Michael Moore,3 Avi Rotschild4 1Department of Management of Service Organizations, Hadassah Academic College, Jerusalem, 2Medical Education Unit, Ruth and Bruce Faculty of Medicine, 3Faculty of Education in Science & Technology, 4Department of Neonatology, Carmel Medical Center, Ruth and Bruce Faculty of Medicine, Technion, Israeli Institute of Technology, Haifa, Israel Background: Curriculum planners and medical teachers attempt to enhance medical students’ empathy and patient-centeredness. Despite educational efforts, there is stability in medical students’ empathy and patient-centered medicine during the preclinical stage and a decline in both of them throughout the clinical years. Student–tutor relationship plays a key role in students’ learning. This study tests the effect of learner-centered tutoring on students’ empathy, patient-centeredness, and behavior. Participants and methods: The cohort of 55 students was divided into groups of seven or eight. The experimental group’s tutors underwent LC mentoring. Empathy was assessed with the Jefferson Scale of Physician Empathy for Students; PC attitude was assessed with the Patient–Provider Orientation Scale (PPOS. Behavior was assessed by simulations of doctor–patient encounters with 32 students at the end of the third year. Each student participated in three such simulations, during which we analyzed ten aspects of physician–patient communication via Roter interaction analysis system (RIAS-coded audiotapes. Results: A significant group difference was found for three RIAS categories: building a relationship and patient-centeredness, where the mean percentage of the experimental group was significantly higher than that of the control group, and gathering data, where the mean percentage of the experimental group was significantly lower than that of the control group. A significant correlation was found in the experimental group between empathy and

  7. Computational intelligence applications in modeling and control

    CERN Document Server

    Vaidyanathan, Sundarapandian

    2015-01-01

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

  8. Operator modeling in commerical aviation: Cognitive models, intelligent displays, and pilot's assistants

    Science.gov (United States)

    Govindaraj, T.; Mitchell, C. M.

    1994-01-01

    One of the goals of the National Aviation Safety/Automation program is to address the issue of human-centered automation in the cockpit. Human-centered automation is automation that, in the cockpit, enhances or assists the crew rather than replacing them. The Georgia Tech research program focused on this general theme, with emphasis on designing a computer-based pilot's assistant, intelligent (i.e, context-sensitive) displays, and an intelligent tutoring system for understanding and operating the autoflight system. In particular, the aids and displays were designed to enhance the crew's situational awareness of the current state of the automated flight systems and to assist the crew's situational awareness of the current state of the automated flight systems and to assist the crew in coordinating the autoflight system resources. The activities of this grant included: (1) an OFMspert to understand pilot navigation activities in a 727 class aircraft; (2) an extension of OFMspert to understand mode control in a glass cockpit, Georgia Tech Crew Activity Tracking System (GT-CATS); (3) the design of a training system to teach pilots about the vertical navigation portion of the flight management system -VNAV Tutor; and (4) a proof-of-concept display, using existing display technology, to facilitate mode awareness, particularly in situations in which controlled flight into terrain (CFIT) is a potential.

  9. 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.

  10. EMOTIONAL INTELLIGENCE AND ORGANIZATIONAL COMPETITIVENESS: MANAGEMENT MODEL APPROACH

    Directory of Open Access Journals (Sweden)

    John N. N. Ugoani

    2016-09-01

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

  11. Modeling of biological intelligence for SCM system optimization.

    Science.gov (United States)

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

    2012-01-01

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

  12. Modeling of Biological Intelligence for SCM System Optimization

    Directory of Open Access Journals (Sweden)

    Shengyong Chen

    2012-01-01

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

  13. Training simulators for power plant operation based in multimedia, intelligent tutorials and virtual reality; Simuladores para entrenamiento en la operacion de centrales basados en multimedia, tutores inteligentes y realidad virtual

    Energy Technology Data Exchange (ETDEWEB)

    Rossano Roman, Miguel; Tavira Mondragon, Jose A.; Romero Jimenez, Guillermo; Buenabad Arias, Maria de los Angeles [Instituto de Investigaciones Electricas, Cuernavaca (Mexico)

    1997-12-31

    The possibility of utilizing simulators to support the fossil fuel power plants operation personnel training, is analyzed. These simulators can be based in multimedia, intelligent tutorials and virtual reality. The software and hardware advances of these technologies are analyzed and it is concluded that the simulators development for operators training supported in the fore mentioned technologies represents a new alternative for the instruction of personnel of this type of power stations that has to be analyzed and evaluated, since one of the disadvantages of this type of technologies is the equipment and software investment cost [Espanol] Se analiza la posibilidad de utilizar simuladores para ayudar al entrenamiento del personal en la operacion de centrales termoelectricas, dichos simuladores pueden estar basados en multimedia, tutores inteligentes y realidad virtual. Se describen los avances en software y hardware de estas tecnologias y se concluye en que el desarrollo de simuladores para el entrenamiento de operadores apoyados con las tecnologias antes mencionadas representa una nueva alternativa para la instruccion del personal de este tipo de centrales, que hay que analizar y evaluar, ya que una de las desventajas de este tipo de tecnologias es el costo de inversion en equipo y software

  14. Intelligent Tutoring Systems Based on the Multi-Agent Systems (ITS-MAS: The Dynamic and Incremental Case Based Reasoning (DICBR Paradigm and the Inverse Longest Common Sub-Sequence (ILCSS in the CEHL

    Directory of Open Access Journals (Sweden)

    El Mokhtar En-Naimi

    2012-11-01

    Full Text Available The major problem of e-learning is often stopped during training. Due to the fact that it is necessary to ensure an individualized and continuous learners follow-up during the learning process. Our work in this field develops the design and implementation of a Multi-Agents System Based on Dynamic Case Based Reasoning which can initiate learning and provide an individualized follow-up of a learner. When interacting with the platform, every learner leaves his/her traces in the machine. These traces are stored in the memory bank, this operation enriches collective past experiences. Via monitoring, comparing and analyzing these traces, the system keeps a constant intelligent watch on the platform, and therefore it detects the difficulties hindering progress, and/or it avoids possible dropping out. The system can support any learning subject. The success of a case-based reasoning system depends critically on the performance of the retrieval step used and, more particularly, on similarity measure used to retrieve source cases that are similar to the learners' traces (traces in progress. We propose a dynamic retrieving method based on a complementary similarity measure, named Inverse Longest Common Sub-Sequence (ILCSS. To guide and help the learner, the system is equipped with combination of human and virtual tutors.

  15. Intelligent predictive model of ventilating capacity of imperial smelt furnace

    Institute of Scientific and Technical Information of China (English)

    唐朝晖; 胡燕瑜; 桂卫华; 吴敏

    2003-01-01

    In order to know the ventilating capacity of imperial smelt furnace (ISF), and increase the output of plumbum, an intelligent modeling method based on gray theory and artificial neural networks(ANN) is proposed, in which the weight values in the integrated model can be adjusted automatically. An intelligent predictive model of the ventilating capacity of the ISF is established and analyzed by the method. The simulation results and industrial applications demonstrate that the predictive model is close to the real plant, the relative predictive error is 0.72%, which is 50% less than the single model, leading to a notable increase of the output of plumbum.

  16. Intelligent Cost Modeling Based on Soft Computing for Avionics Systems

    Institute of Scientific and Technical Information of China (English)

    ZHU Li-li; LI Zhuang-sheng; XU Zong-ze

    2006-01-01

    In parametric cost estimating, objections to using statistical Cost Estimating Relationships (CERs) and parametric models include problems of low statistical significance due to limited data points, biases in the underlying data, and lack of robustness. Soft Computing (SC) technologies are used for building intelligent cost models. The SC models are systemically evaluated based on their training and prediction of the historical cost data of airborne avionics systems. Results indicating the strengths and weakness of each model are presented. In general, the intelligent cost models have higher prediction precision, better data adaptability, and stronger self-learning capability than the regression CERs.

  17. Tutoring Executives Online

    DEFF Research Database (Denmark)

    Bignoux, Stephane; Sund, Kristian J.

    2016-01-01

    Studies of learning and student satisfaction in the context of online university programs have largely neglected programs catering specifically to business executives. Such executives have typically been away from higher education for a number of years, and have collected substantial practical...... that in addition to some of the tutor behaviors already discussed in the literature, executive students look specifically for practical industry knowledge and experience in tutors, when judging how effective a tutor is. This has implications for both the recruitment and training of online executive MBA tutors....

  18. 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.

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

    CERN Document Server

    Khan, Samee; Burczy´nski, Tadeusz

    2012-01-01

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

  20. Intelligence Fusion Modeling. A Proposed Approach.

    Science.gov (United States)

    1983-09-16

    Maintenance and performance histories of sensor systems are maintained by the Technical Control and Analysis Center ( TCAE ). Process. Reported data...SIGINT Signals Intelligence SNR Signal to Noise Ratio SYSMSG System Message TCAE Technical Control and Analysis Element TRADOC Training and Doctrine

  1. ICCE/ICCAI 2000 Full & Short Papers (Artificial Intelligence in Education).

    Science.gov (United States)

    2000

    This document contains the full and short papers on artificial intelligence in education from ICCE/ICCAI 2000 (International Conference on Computers in Education/International Conference on Computer-Assisted Instruction) covering the following topics: a computational model for learners' motivation states in individualized tutoring system; a…

  2. Prediction of speech intelligibility based on an auditory preprocessing model

    DEFF Research Database (Denmark)

    Christiansen, Claus Forup Corlin; Pedersen, Michael Syskind; Dau, Torsten

    2010-01-01

    Classical speech intelligibility models, such as the speech transmission index (STI) and the speech intelligibility index (SII) are based on calculations on the physical acoustic signals. The present study predicts speech intelligibility by combining a psychoacoustically validated model of auditory...... preprocessing [Dau et al., 1997. J. Acoust. Soc. Am. 102, 2892-2905] with a simple central stage that describes the similarity of the test signal with the corresponding reference signal at a level of the internal representation of the signals. The model was compared with previous approaches, whereby a speech...... in noise experiment was used for training and an ideal binary mask experiment was used for evaluation. All three models were able to capture the trends in the speech in noise training data well, but the proposed model provides a better prediction of the binary mask test data, particularly when the binary...

  3. Using Tutors to Improve Educational Games: A Cognitive Game for Policy Argument

    Science.gov (United States)

    Easterday, Matthew W.; Aleven, Vincent; Scheines, Richard; Carver, Sharon M.

    2017-01-01

    How might we balance assistance and penalties to intelligent tutors and educational games that increase learning and interest? We created two versions of an educational game for learning policy argumentation called Policy World. The game (only) version provided minimal feedback and penalized students for errors whereas the game+tutor version…

  4. Towards an Intelligent Project Based Organization Business Model

    Directory of Open Access Journals (Sweden)

    Alami Marrouni Oussama

    2013-01-01

    Full Text Available Global economy is undergoing a recession phase that had made competition tougher and imposed new business framework. Businesses have to shift from the classical management approaches to an Intelligent Project Based Organization (IPBO model that provides flexibility and agility. IPBO model is intended to reinforce the proven advantages of Project Based Organization (PBO by the use of suitable Enterprise Intelligence (EI Systems. The goal of this paper is to propose an IPBO model that combines benefits of PBO and EI and helps overcoming their pitfalls

  5. VEHICLE SIMULATION MODEL FOR DEVELOPING AN INTELLIGENT SLOPE SHIFT STRATEGY

    Institute of Scientific and Technical Information of China (English)

    Jin Hui; Ge Anlin

    2004-01-01

    With the rapid development of electronics and the growing demand for higher vehicle performance,intelligent shift technology is becoming increasingly important,and it promises to be a developing trend in vehicle automatic transmissions.A new simulation model is presented,which includes engine,powertrain,tire and vehicle dynamics models.Based on the model,simulation experiments are conducted to investigate the slope shift strategy.The data and conclusions obtained from the simulations are valuable contributions to the development of an intelligent slope shift strategy.

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

    CERN Document Server

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

    2016-01-01

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

  7. Tooth Tutoring: The Findings.

    Science.gov (United States)

    Cone, Richard; And Others

    Findings are reported on a three year cross-age tutoring program in which undergraduate dental hygiene students and college students from other disciplines trained upper elementary students to tutor younger students in the techniques of dental hygiene. Data includes pre-post scores on the Oral Hygiene Index of plaque for both experimental and…

  8. An Intelligence Process Model Based on a Collaborative Approach

    Science.gov (United States)

    2011-06-01

    including Open Source ( OSINT ), in the production of intelligence. All-source intelligence is both a separate intelligence discipline and the name of the...and signature intelligence (MASINT), Technical intelligence (TECHINT), Open source intelligence ( OSINT ), and Biometric intelligence (BIOINT)) to...characterizing the processes for each discipline (HUMINT, SIGINT, OSINT , IMINT, GEOINT, etc.). Then, we analyzed the All-Source activities and processes

  9. Technical intelligence in animals: the kea model.

    Science.gov (United States)

    Huber, Ludwig; Gajdon, Gyula K

    2006-10-01

    The ability to act on information flexibly is one of the cornerstones of intelligent behavior. As particularly informative example, tool-oriented behavior has been investigated to determine to which extent nonhuman animals understand means-end relations, object affordances, and have specific motor skills. Even planning with foresight, goal-directed problem solving and immediate causal inference have been a focus of research. However, these cognitive abilities may not be restricted to tool-using animals but may be found also in animals that show high levels of curiosity, object exploration and manipulation, and extractive foraging behavior. The kea, a New Zealand parrot, is a particularly good example. We here review findings from laboratory experiments and field observations of keas revealing surprising cognitive capacities in the physical domain. In an experiment with captive keas, the success rate of individuals that were allowed to observe a trained conspecific was significantly higher than that of naive control subjects due to their acquisition of some functional understanding of the task through observation. In a further experiment using the string-pulling task, a well-probed test for means-end comprehension, we found the keas finding an immediate solution that could not be improved upon in nine further trials. We interpreted their performance as insightful in the sense of being sensitive of the relevant functional properties of the task and thereby producing a new adaptive response without trial-and-error learning. Together, these findings contribute to the ongoing debate on the distribution of higher cognitive skills in the animal kingdom by showing high levels of sensorimotor intelligence in animals that do not use tools. In conclusion, we suggest that the 'Technical intelligence hypothesis' (Byrne, Machiavellian intelligence II: extensions and evaluations, pp 289-211, 1997), which has been proposed to explain the origin of the ape/monkey grade-shift in

  10. Tutoring Executives Online

    DEFF Research Database (Denmark)

    Bignoux, Stephane; Sund, Kristian J.

    2016-01-01

    Studies of learning and student satisfaction in the context of online university programs have largely neglected programs catering specifically to business executives. Such executives have typically been away from higher education for a number of years, and have collected substantial practical...... experience in the subject matters they are taught. Their expectations in terms of both content and delivery may therefore be different from non-executive students. We explore perceptions of the quality of tutoring in the context of an online executive MBA program through participant interviews. We find...... that in addition to some of the tutor behaviors already discussed in the literature, executive students look specifically for practical industry knowledge and experience in tutors, when judging how effective a tutor is. This has implications for both the recruitment and training of online executive MBA tutors....

  11. Intelligent negotiation model for ubiquitous group decision scenarios

    Institute of Scientific and Technical Information of China (English)

    Joo CARNEIRO; Diogo MARTINHO; Goreti MARREIROS; Paulo NOVAIS

    2016-01-01

    Supporting group decision-making in ubiquitous contexts is a complex task that must deal with a large amount of factors to succeed. Here we propose an approach for an intelligent negotiation model to support the group decision-making process specifically designed for ubiquitous contexts. Our approach can be used by researchers that intend to include arguments, complex algorithms, and agents’ modeling in a negotiation model. It uses a social networking logic due to the type of communication employed by the agents and it intends to support the ubiquitous group decision-making process in a similar way to the real process, which simultaneously preserves the amount and quality of intelligence generated in face-to-face meetings. We propose a new look into this problem by considering and defining strategies to deal with important points such as the type of attributes in the multi- criterion problems, agents’ reasoning, and intelligent dialogues.

  12. Mathematical modeling and computational intelligence in engineering applications

    CERN Document Server

    Silva Neto, Antônio José da; Silva, Geraldo Nunes

    2016-01-01

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

  13. Modeling of Agile Intelligent Manufacturing-oriented Production Scheduling System

    Institute of Scientific and Technical Information of China (English)

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

    2010-01-01

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

  14. COMPUTATIONALLY INTELLIGENT MODELLING AND CONTROL OF FLUIDIZED BED COMBUSTION PROCESS

    Directory of Open Access Journals (Sweden)

    Ivan T Ćirić

    2011-01-01

    Full Text Available In this paper modelling and control approaches for fluidized bed combustion process have been considered, that are based on the use of computational intelligence. Proposed adaptive neuro-fuzzy-genetic modelling and intelligent control strategies provide for efficient combining of available expert knowledge with experimental data. Firstly, based on the qualitative information on the desulphurization process, models of the SO2 emission in fluidized bed combustion have been developed, which provides for economical and efficient reduction of SO2 in FBC by estimation of optimal process parameters and by design of intelligent control systems based on defined emission models. Also, efficient fuzzy nonlinear FBC process modelling strategy by combining several linearized combustion models has been presented. Finally, fuzzy and conventional process control systems for fuel flow and primary air flow regulation based on developed models and optimized by genetic algorithms have also been developed. Obtained results indicate that computationally intelligent approach can be successfully applied for modelling and control of complex fluidized bed combustion process.

  15. Forecasting rain events - Meteorological models or collective intelligence?

    Science.gov (United States)

    Arazy, Ofer; Halfon, Noam; Malkinson, Dan

    2015-04-01

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

  16. Evaluation of Artificial Intelligence Based Models for Chemical Biodegradability Prediction

    Directory of Open Access Journals (Sweden)

    Aleksandar Sabljic

    2004-12-01

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

  17. Artificial intelligence support for scientific model-building

    Science.gov (United States)

    Keller, Richard M.

    1992-01-01

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

  18. Two approaches to physics tutoring

    Science.gov (United States)

    Solomaniuck, Tania

    One in two first-year students at science or biomedical faculties fail in basic subjects such as mathematics, chemistry or physics. Course-specific tutoring is one of the available means for improving their performance. In the present research, two tutoring models are developed. Both incorporate independent learning, but from different perspectives and priorities. A pragmatic tutoring approach. The first part of the thesis describes the search process for an optimal course-specific tutoring strategy for a standard first-year physics course in life sciences curricula. After a number of empirical research rounds, a pragmatic compromise emerged as the most suitable form of tutoring. The approach is characterised by: (1) priority to questions from students; (2) a high degree of interactivity with the tutor and among students; (3) due consideration to the number of questions to be dealt with and the depth in which they should be discussed. Most students participating in the tutoring sessions expressed their satisfaction and performed sufficiently well in their exams. However, there was still a problem: the students' insight into the course material was restricted to first-order processing of the syllabus. While this would be satisfactory in non-scientific study programmes, it is deemed insufficient in programmes where deeper insight is required in order that students be able to deal adequately with new conceptual questions or problems. In-depth tutoring. In science programmes, the core objective is for students to acquire in-depth knowledge. Therefore, science educators are designing and studying teaching methods that are geared not only to the acquisition of in-depth knowledge as such, but also to the motivation of students to take a more in-depth approach to learning. Some of the crucial notions in their research are: the extent to which the course content ties in with students' prior knowledge, problem-setting strategies and concept-context linking. 'In

  19. Computer assisted tutoring in radiology

    Energy Technology Data Exchange (ETDEWEB)

    Jeffery, N

    1997-02-01

    The computer-based tutoring of visual concepts such as radiological images is a largely unexplored area. A review of the literature highlights limited use of computers as a means of radiological education, with the majority of systems being little more than hypermedia prototypes, on-line teaching files, and passive CD-Roms. Very few of the systems discussed in the research literature draw on the work from cognitive science and educational psychology for tutoring visual concepts. This thesis details and evaluates a method for indexing and retrieving images from large image databases via a cognitively informed graphical representation of visual concepts. This representation is derived using Multiple Correspondence Analysis from a statistical analysis of features present in the images. It is intended that this representation be used to assist in the computer based teaching of any discipline that requires the tutoring of visual concepts. The domain used as a test bed for this research is Magnetic Resonance Imaging in neuroradiology. Tutoring the interpretation of MR scans of the head represents a real practical problem due to the inherent complexity of the brain and variations in tissue contrast within image sequence and disease/pathology. The literature of concept categorisation and representation is critically reviewed to inform the design of a graphical representation of a concept (a pathology in the application domain). A specification for the design of an explicit representation of visual concepts is drawn from this literature review, together with methods of tutoring based around this model. A methodology for producing this representation is described, and implemented in the development of an overview plot for the concept of a disease of the brain, with associated statistical measures derived and operationalised for typicality and similarity of cases within a disease. These measures are precursors to the development of computer based tutoring strategies for image

  20. [Epidemiological intelligence as a model of organization in health].

    Science.gov (United States)

    Rodrigues-Júnior, Antonio Luiz

    2012-03-01

    The concept of epidemiological intelligence, as a construction of information societies, goes beyond monitoring a list of diseases and the ability to elicit rapid responses. The concept should consider the complexity of the definition of epidemiology in the identification of this object of study without being limited to a set of actions in a single government sector. The activities of epidemiological intelligence include risk assessment, strategies for prevention and protection, subsystems of information, crisis management rooms, geographical analysis, etc. This concept contributes to the understanding of policies in health, in multisectorial and geopolitical dimensions, as regards the organization of services around public health emergencies, primary healthcare, as well as disasters. The activities of epidemiological intelligence should not be restricted to scientific research, but the researchers must beware of threats to public health. Lalonde's model enabled consideration of epidemiological intelligence as a way to restructure policies and share resources by creating communities of intelligence, whose purpose is primarily to deal with public health emergencies and disasters.

  1. 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...

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

    Directory of Open Access Journals (Sweden)

    Adrian TOADER

    2013-03-01

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

  3. The highly intelligent virtual agents for modeling financial markets

    Science.gov (United States)

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

    2016-02-01

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

  4. Mathematical Modeling of Cooperative E-Learning Performance in Face to Face Tutoring (Ant Colony System Approach

    Directory of Open Access Journals (Sweden)

    Hassan Mohammed Mustafa

    2010-11-01

    Full Text Available Investigational analysis and evaluation of cooperative learning phenomenon is an interdisciplinary and challenging educational research issue. Educationalists have been interesting in modeling of human's cooperative learning to investigate its analogy with some learning aspects of observed social insect behavior. Specifically, this paper presents realistic modeling inspired from interdisciplinary integrated fields of ecology, education ,and animal behavior learning sciences. Presented modeling considers cooperative behavioral learning at ant colony system (ACS. That's motivated by qualitative simulation results obtained after running of an ACS algorithm searching for optimal solution of Travelling Salesman Problem (TSP. In the context of computational intelligence ; cooperative ACS algorithm reaches optimal TSP solution analogously to convergence process of Hebbian coincidence learning paradigm. Moreover, suggested mathematical modeling presents diversity of positive interdependence aspect observed during human's interactive cooperative learning. Interestingly, presented analysis and evaluation of mathematically modeled practical insights of adopted phenomenon, may shed light on promising future enhancement of cooperative learning performance.

  5. Design and Usability Assessment of a Dialogue-Based Cognitive Tutoring System to Model Expert Problem Solving in Research Design

    Science.gov (United States)

    Hung, Wei-Chen; Smith, Thomas J.; Smith, M. Cecil

    2015-01-01

    Technology provides the means to create useful learning and practice environments for learners. Well-designed cognitive tutor systems, for example, can provide appropriate learning environments that feature cognitive supports (ie, scaffolding) for students to increase their procedural knowledge. The purpose of this study was to conduct a series of…

  6. Using Activity Theory to Inform Sessional Teacher Development: What Lessons Can Be Learned from Tutor Training Models?

    Science.gov (United States)

    Gilbert, Amanda

    2017-01-01

    Sessional teachers in universities are often marginalised by their part-time status, availability for training, and invisibility within the institution's infrastructure. Nevertheless, tutors as a subset of this group, regularly have access to some training and development. This paper presents a methodological approach for implementing the BLASST…

  7. Intelligent Transportation and Evacuation Planning A Modeling-Based Approach

    CERN Document Server

    Naser, Arab

    2012-01-01

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

  8. Artificial intelligence and dynamic systems for geophysical applications

    CERN Document Server

    Gvishiani, Alexei

    2002-01-01

    The book presents new clustering schemes, dynamical systems and pattern recognition algorithms in geophysical, geodynamical and natural hazard applications. The original mathematical technique is based on both classical and fuzzy sets models. Geophysical and natural hazard applications are mostly original. However, the artificial intelligence technique described in the book can be applied far beyond the limits of Earth science applications. The book is intended for research scientists, tutors, graduate students, scientists in geophysics and engineers

  9. The student tutor experience in a problem-based learning course: A case study

    Science.gov (United States)

    Moore, Tricia Susan

    This case study, conducted from an interpretive paradigm, illuminates contextual factors related to the tutor experience when senior undergraduate dental hygiene students served as tutors for beginning undergraduate dental hygiene students, or sophomores, in a 1-semester, 2-hour long problem-based learning (PBL) course in a Baccalaureate Dental Hygiene (BDH) curriculum during the spring semester of 2008. Data were collected using various sources and methods. Six tutors and three administrators were interviewed, tutees completed an anonymous questionnaire, the tutorial process and tutor training sessions were observed, and related documents were examined. Data analysis included open and axial coding, creation of tutor profiles, and identification of patterns. Tutor behaviors varied with respect to the nature of intervention (e.g., telling, asking, clarifying, acknowledging), emphasis (process, content, social), and facilitation style (directive, suggestive, empowering). Patterns in tutor behavior and attitudes emerged related to comfort and growth, persistence and lenience, and compliance, resistance, and innovation. Differences in tutor understanding and perception of their role and the purpose of PBL influenced the role the tutor assumed. Other factors that influenced tutor behavior included tutor intentions, tutor training, and environmental factors such as the nature of problems, allotted time, and tutorial group characteristics. The influence of these factors can be understood by applying Fishbein's integrated model of behavior prediction (Fishbein, 2008). Tutor training included experiencing the PBL student role, attending class, and sharing experiences with other tutors in weekly seminar sessions facilitated by a tutor supervisor. Tutor's gained confidence, knowledge, skills, and friendship. They also had the opportunity to see things from a new perspective, that of a teacher encouraging self-direction rather than a student depending on others for direction

  10. Electronic Algebra and Calculus Tutor

    Directory of Open Access Journals (Sweden)

    Larissa Fradkin

    2012-06-01

    Full Text Available Modern undergraduates join science and engineering courses with poorer mathematical background than most contemporaries of the current faculty had when they were freshers. The problem is very acute in the United Kingdom but more and more countries adopt less resource intensive models of teaching and the problem spreads. University tutors and lecturers spend more and more time covering the basics. However, most of them still rely on traditional methods of delivery which presuppose that learners have a good memory and considerable time to practice, so that they can memorize disjointed facts and discover for themselves various connections between the underlying concepts. These suppositions are particularly unrealistic when dealing with a large number of undergraduates who are ordinary learners with limited mathematics background. The first author has developed a teaching system that allows such adult learners achieve relatively deep learning of mathematics – and remarkably quickly – through a teacher-guided (often called Socratic dialog, which aims at the frequent reinforcement of basic mathematical abstractions through Eulerian sequencing. These ideas have been applied to create a prototype of a Cognitive Mathematics Tutoring System aimed at teaching basic mathematics to University freshers., an electronic Personal Algebra and Calculus Tutor (e- PACT.

  11. Analyzing Log Files to Predict Students' Problem Solving Performance in a Computer-Based Physics Tutor

    Science.gov (United States)

    Lee, Young-Jin

    2015-01-01

    This study investigates whether information saved in the log files of a computer-based tutor can be used to predict the problem solving performance of students. The log files of a computer-based physics tutoring environment called Andes Physics Tutor was analyzed to build a logistic regression model that predicted success and failure of students'…

  12. A Conversation Model Enabling Intelligent Agents to Give Emotional Support

    OpenAIRE

    Van der Zwaan, J.M.; Dignum, V; Jonker, C.M.

    2012-01-01

    In everyday life, people frequently talk to others to help them deal with negative emotions. To some extent, everybody is capable of comforting other people, but so far conversational agents are unable to deal with this type of situation. To provide intelligent agents with the capability to give emotional support, we propose a domain-independent conversational model that is based on topics suggested by cognitive appraisal theories of emotion and the 5-phase model that is used to structure onl...

  13. Household Expenditures on Private Tutoring: Emerging Evidence from Malaysia

    Science.gov (United States)

    Kenayathulla, Husaina Banu

    2013-01-01

    Private tutoring has been a burgeoning phenomenon in Malaysia for decades. This study examines the determinants of private tutoring expenditures in Malaysia using the 2004/2005 Household Expenditures Survey and applies hurdle regression models to the data. The results indicate that total household expenditures, household head's level of…

  14. Household Expenditures on Private Tutoring: Emerging Evidence from Malaysia

    Science.gov (United States)

    Kenayathulla, Husaina Banu

    2013-01-01

    Private tutoring has been a burgeoning phenomenon in Malaysia for decades. This study examines the determinants of private tutoring expenditures in Malaysia using the 2004/2005 Household Expenditures Survey and applies hurdle regression models to the data. The results indicate that total household expenditures, household head's level of education,…

  15. Household Expenditures on Private Tutoring: Emerging Evidence from Malaysia

    Science.gov (United States)

    Kenayathulla, Husaina Banu

    2013-01-01

    Private tutoring has been a burgeoning phenomenon in Malaysia for decades. This study examines the determinants of private tutoring expenditures in Malaysia using the 2004/2005 Household Expenditures Survey and applies hurdle regression models to the data. The results indicate that total household expenditures, household head's level of education,…

  16. Situating Power Potentials and Dynamics of Learners and Tutors within Self-Assessment Models

    Science.gov (United States)

    Taras, Maddalena

    2016-01-01

    Many twenty-first century educational discourses focus on including and empowering independent learners. Within the context of five self-assessment models, this article evaluates how these practices relate to the realities of student involvement, empowerment and voice. A proposed new classification of these self-assessment models is presented and…

  17. PERFORMANCE-BASED INTELLIGENT RESOURCE DESCRIPTION MODEL FOR INTERNET-BASED PRODUCT DESIGN

    Institute of Scientific and Technical Information of China (English)

    2006-01-01

    Issues on intelligent resource description and multiple intelligent resources integration for Internet-based collaborative design are analyzed. A performance-based intelligent resource description model for Internet-based product design is proposed, which can help to create, store,manipulate and exchange intelligent resource description information for applications, tools and systems in Internet-based product design. A method to integrate multiple intelligent resources to fulfill a complex product design and analysis via Internet is also proposed. A real project for improving the bearing system design of a turbo-expander with many intelligent resources in prominent universities is presented as a case study.

  18. Learning through Tutoring: Low-Achieving Children as Tutors.

    Science.gov (United States)

    Feldman, Robert S.; Allen, Vernon L.

    Recent evidence suggests that the use of children acting as tutors for their peers may prove beneficial to the tutor as well as to the tutee. There is now abundant, unsubstantiated anecdotal evidence, and some controlled experimental work, which suggests that the tutor benefits greatly from his involvement in teaching. The enactment of the role of…

  19. Modeling and simulating human teamwork behaviors using intelligent agents

    Science.gov (United States)

    Fan, Xiaocong; Yen, John

    2004-12-01

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

  20. An Intelligent Model for Pairs Trading Using Genetic Algorithms.

    Science.gov (United States)

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

    2015-01-01

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

  1. An Intelligent Model for Pairs Trading Using Genetic Algorithms

    Science.gov (United States)

    Hsu, Chi-Jen; Chen, Chi-Chung; Li, Chen-An

    2015-01-01

    Pairs trading is an important and challenging research area in computational finance, in which pairs of stocks are bought and sold in pair combinations for arbitrage opportunities. Traditional methods that solve this set of problems mostly rely on statistical methods such as regression. In contrast to the statistical approaches, recent advances in computational intelligence (CI) are leading to promising opportunities for solving problems in the financial applications more effectively. In this paper, we present a novel methodology for pairs trading using genetic algorithms (GA). Our results showed that the GA-based models are able to significantly outperform the benchmark and our proposed method is capable of generating robust models to tackle the dynamic characteristics in the financial application studied. Based upon the promising results obtained, we expect this GA-based method to advance the research in computational intelligence for finance and provide an effective solution to pairs trading for investment in practice. PMID:26339236

  2. Artificial Intelligence--Applications in Education.

    Science.gov (United States)

    Poirot, James L.; Norris, Cathleen A.

    1987-01-01

    This first in a projected series of five articles discusses artificial intelligence and its impact on education. Highlights include the history of artificial intelligence and the impact of microcomputers; learning processes; human factors and interfaces; computer assisted instruction and intelligent tutoring systems; logic programing; and expert…

  3. Intelligent CAD Methodology Research of Adaptive Modeling

    Institute of Scientific and Technical Information of China (English)

    ZHANG Weibo; LI Jun; YAN Jianrong

    2006-01-01

    The key to carry out ICAD technology is to establish the knowledge-based and wide rang of domains-covered product model. This paper put out a knowledge-based methodology of adaptive modeling. It is under the Ontology mind, using the Object-Oriented technology and being a knowledge-based model framework. It involves the diverse domains in product design and realizes the multi-domain modeling, embedding the relative information including standards, regulars and expert experience. To test the feasibility of the methodology, the research bonds of the automotive diaphragm spring clutch design and an adaptive clutch design model is established, using the knowledge-based modeling language-AML.

  4. Intelligent Intrusion Detection System Model Using Rough Neural Network

    Institute of Scientific and Technical Information of China (English)

    YAN Huai-zhi; HU Chang-zhen; TAN Hui-min

    2005-01-01

    A model of intelligent intrusion detection based on rough neural network (RNN), which combines the neural network and rough set, is presented. It works by capturing network packets to identify network intrusions or malicious attacks using RNN with sub-nets. The sub-net is constructed by detection-oriented signatures extracted using rough set theory to detect different intrusions. It is proved that RNN detection method has the merits of adaptive, high universality,high convergence speed, easy upgrading and management.

  5. Interoperation Modeling for Intelligent Domotic Environments

    Science.gov (United States)

    Bonino, Dario; Corno, Fulvio

    This paper introduces an ontology-based model for domotic device inter-operation. Starting from a previously published ontology (DogOnt) a refactoring and extension is described allowing to explicitly represent device capabilities, states and commands, and supporting abstract modeling of device inter-operation.

  6. Nonverbal Behavior in Tutoring Interactions.

    Science.gov (United States)

    Feldman, Robert S.

    This document reports on a series of studies carried out concerning nonverbal behavior in peer tutoring interactions. The first study examined the encoding (enactment) of nonverbal behavior in a tutoring situation. Results clearly indicated that the tutor's nonverbal behavior was affected by the performance of the tutee. The question of whether or…

  7. THE HOMEWORK HELPER TUTOR MANUAL.

    Science.gov (United States)

    DEERING, ALBERT R.

    THIS MANUAL FOR TUTORS IN THE MOBILIZATION FOR YOUTH-NEW YORK CITY BOARD OF EDUCATION HOMEWORK HELPER PROGRAM IS DESIGNED TO SUPPLEMENT THE TRAINING AND SUPERVISION THAT THE TUTORS RECEIVE FROM THE MASTER TEACHERS. THE PROGRAM EMPLOYS HIGH SCHOOL STUDENTS AS TUTORS FOR OTHER STUDENTS AT ALL GRADE LEVELS--ELEMENTARY, JUNIOR HIGH, AND HIGH SCHOOL.…

  8. Self-assessed intelligence, personality, and psychometric intelligence: preliminary validation of a model with a selected student population

    Directory of Open Access Journals (Sweden)

    Maria A. Novikova

    2012-01-01

    Full Text Available In the current study, self-assessed intelligence (SAI is presented as a multidimensionalconstruct related both to personality and to psychometric intelligence. Onthe basis of data obtained from a Russian student sample (N = 496, the authorsvalidate a structural model in which SAI acts as a mediating variable between latentvariables of measured IQ and the trait of acceptance of uncertainty. Evidencefor signifi cant gender diff erences in SAI in favor of men is also given.

  9. Network Models for Cognitive Development and Intelligence

    National Research Council Canada - National Science Library

    Han L J VanDer; Kees-Jan Kan; Maarten Marsman; Claire E Stevenson

    2017-01-01

    ... (dimensionality of individual differences). The welcome integration of the two fields requires the construction of mechanistic models of cognition and cognitive development that explain key phenomena in individual differences research...

  10. Good teacher, good tutor

    Directory of Open Access Journals (Sweden)

    Couto LB

    2016-07-01

    Full Text Available Lucélio B Couto, Gustavo S Romão, Reinaldo B Bestetti  Department of Medicine, University of Ribeirão Preto, Ribeirão Preto, Brazil We have read with great interest the paper by Kassab et al, who have essentially shown that good teachers will be good tutors in a problem-based learning (PBL environment. We have been facing great difficulties to select tutors because there has been no tradition in PBL in our region in the preuniversity teaching. Furthermore, the majority of our teachers have been formed in a discipline-based medical curriculum. Therefore, it is reassuring to learn from the work by Kassab et al that subject-matter mastery is the powerful independent predictor of tutoring skills.  View the original paper by Kassab and colleagues.

  11. The Intelligent Decision Support System Model of SARS

    Institute of Scientific and Technical Information of China (English)

    ZhouXingyu; ZhangJiang; LiuYang; XieYanqing; ZhangRan; ZhaoYang; HeZhongxiong

    2004-01-01

    Based on the intelligent decision support system, a new method was presented to defense the catastrophic infectious disease such as SARS, Bird Flu, etc.. By using All Set theory, the decision support system (DSS) model can be built to analyze the noise information and forecast the trend of the catastrophe then to give the method or policy to defend the disease. The model system is composed of four subsystems: the noise analysis subsystem, forecast and simulation subsystem, diagnosis subsystem and second recovery subsystem. They are discussed briefly in this paper. This model can be used not only for SARS but also for other paroxysmal accidences.

  12. The role of business intelligence in decision process modeling

    Directory of Open Access Journals (Sweden)

    Višnja Istrat

    2015-10-01

    Full Text Available Decision making is a very significant and complex function of management that requires methods and techniques that simplify the process of choosing the best alternative. In modern business, the challenge for managers is to find the alternatives for improving the decision-making process. Decisions directly affect profit generation and positioning of the company in the market. It is well-known that people dealt with the phenomenon of decision making in each phase of the development of society, which has triggered the need to learn more about this process. The main contribution of this paper is to show the significance of business intelligence tools and techniques as support to the decision making process of managers. Research results have shown that business intelligence plays an enormous role in modern decision process modeling.

  13. Tutoring Strategies: A Case Study Comparing Learning Center Tutors and Academic Department Tutors

    Science.gov (United States)

    Bailey, Geoffrey K.

    2010-01-01

    Peer tutoring at the postsecondary level has been studied extensively, particularly over the last twenty years. Peer tutoring programs are common across institutional type and size in the United States (Boylan, Bonham, Bliss, & Saxon, 1995; Maxwell, 2001) given students' preferences for tutors who share age and status similarity (Cohen, 1986;…

  14. Employing Textual and Facial Emotion Recognition to Design an Affective Tutoring System

    Science.gov (United States)

    Lin, Hao-Chiang Koong; Wang, Cheng-Hung; Chao, Ching-Ju; Chien, Ming-Kuan

    2012-01-01

    Emotional expression in Artificial Intelligence has gained lots of attention in recent years, people applied its affective computing not only in enhancing and realizing the interaction between computers and human, it also makes computer more humane. In this study, emotional expressions were applied into intelligent tutoring system, where learners'…

  15. Electricity load modelling using computational intelligence

    NARCIS (Netherlands)

    Ter Borg, R.W.

    2005-01-01

    As a consequence of the liberalisation of the electricity markets in Europe, market players have to continuously adapt their future supply to match their customers' demands. This poses the challenge of obtaining a predictive model that accurately describes electricity loads, current in this thesis.

  16. Studies in Tutoring.

    Science.gov (United States)

    Cloward, Robert D.

    This is the report of a demonstration tutorial project which was conducted in New York City as part of the Mobilization for Youth program. Eleven tutorial centers were established in neighborhood elementary schools, and 240 students from local academic and vocational high schools were hired to tutor 544 fourth- and fifth-grade pupils. Each center…

  17. Intelligent diagnosis of jaundice with dynamic uncertain causality graph model.

    Science.gov (United States)

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

    2017-05-01

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

  18. Intelligent diagnosis of jaundice with dynamic uncertain causality graph model*

    Science.gov (United States)

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

    2017-01-01

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

  19. Professionalizing tutors and tutorials in higher education

    Directory of Open Access Journals (Sweden)

    Colunga, Silvia

    2012-01-01

    Full Text Available The paper analyzes the necessity of professionalizing training of university teachers performing tutorial activities in higher education as a response to the demands of pupils following a part-time model. Permanent training of tutor is emphasized as a way to enhance professional and personal accomplishments. This training gives priority to educative orientation and interventional actions.

  20. Motivational and metacognitive feedback in SQL-Tutor*

    Science.gov (United States)

    Hull, Alison; du Boulay, Benedict

    2015-04-01

    Motivation and metacognition are strongly intertwined, with learners high in self-efficacy more likely to use a variety of self-regulatory learning strategies, as well as to persist longer on challenging tasks. The aim of the research was to improve the learner's focus on the process and experience of problem-solving while using an Intelligent Tutoring System (ITS) and including motivational and metacognitive feedback based on the learner's past states and experiences. An existing ITS, SQL-Tutor, was used with first-year undergraduates studying a database module. The study used two versions of SQL-Tutor: the Control group used a base version providing domain feedback and the Study group used an extended version that also provided motivational and metacognitive feedback. This paper summarises the pre- and post-process results. Comparisons between groups showed some differing trends both in learning outcomes and behaviour in favour of the Study group.

  1. An Intelligent Analysis Model for Multisource Volatile Memory

    Directory of Open Access Journals (Sweden)

    Xiaolu Zhang

    2013-09-01

    Full Text Available For the rapidly development of network and distributed computing environment, it make researchers harder to do analysis examines only from one or few pieces of data source in persistent data-oriented approaches, so as the volatile memory analysis either. Therefore, mass data automatically analysis and action modeling needs to be considered for reporting entire network attack process. To model multiple volatile data sources situation can help understand and describe both thinking process of investigator and possible action step for attacker. This paper presents a Game model for multisource volatile data and applies it to main memory images analysis with the definition of space-time feature for volatile element information. Abstract modeling allows the lessons gleaned in performing intelligent analysis, evidence filing and automating presentation. Finally, a test demo based on the model is also present to illustrate the whole procedure

  2. Association Rule Mining from an Intelligent Tutor

    Science.gov (United States)

    Dogan, Buket; Camurcu, A. Yilmaz

    2008-01-01

    Educational data mining is a very novel research area, offering fertile ground for many interesting data mining applications. Educational data mining can extract useful information from educational activities for better understanding and assessment of the student learning process. In this way, it is possible to explore how students learn topics in…

  3. Suitable Adaptation Mechanisms for Intelligent Tutoring Technologies

    Science.gov (United States)

    2010-12-01

    or emotion assigned to the task at hand. For example, caffeine and sugar intake are well known stimulants that affect arousal, heart rate, etc., and...to the IEDD course exam to refrain from their daily rituals. This is so because refraining from these rituals, in fact, could further distort their

  4. Intelligent Tutoring Systems: A Tutorial Survey.

    Science.gov (United States)

    1986-09-01

    a good example is the I 0(0 wo)tk of Papett aJld DiSessa at .I.T., inspired by the Piaget exploratory school i ,f di,, ,er learniirg 01’.lerl 1980...AFHRL/MOT a nDr. Howard Burrows Brooks AFB, TX 78235 Washington, DC 20310 National Institute of Health Capt. J. Jean Belanger Bethesda, MD 20892 Dr

  5. Intelligent Tutors in Immersive Virtual Environments

    Science.gov (United States)

    Yan, Peng; Slator, Brian M.; Vender, Bradley; Jin, Wei; Kariluoma, Matti; Borchert, Otto; Hokanson, Guy; Aggarwal, Vaibhav; Cosmano, Bob; Cox, Kathleen T.; Pilch, André; Marry, Andrew

    2013-01-01

    Research into virtual role-based learning has progressed over the past decade. Modern issues include gauging the difficulty of designing a goal system capable of meeting the requirements of students with different knowledge levels, and the reasonability and possibility of taking advantage of the well-designed formula and techniques served in other…

  6. Automatic Summary Assessment for Intelligent Tutoring Systems

    Science.gov (United States)

    He, Yulan; Hui, Siu Cheung; Quan, Tho Thanh

    2009-01-01

    Summary writing is an important part of many English Language Examinations. As grading students' summary writings is a very time-consuming task, computer-assisted assessment will help teachers carry out the grading more effectively. Several techniques such as latent semantic analysis (LSA), n-gram co-occurrence and BLEU have been proposed to…

  7. Forecasting municipal solid waste generation using artificial intelligence modelling approaches.

    Science.gov (United States)

    Abbasi, Maryam; El Hanandeh, Ali

    2016-10-01

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

  8. Emotional intelligence: an integrative meta-analysis and cascading model.

    Science.gov (United States)

    Joseph, Dana L; Newman, Daniel A

    2010-01-01

    Research and valid practice in emotional intelligence (EI) have been impeded by lack of theoretical clarity regarding (a) the relative roles of emotion perception, emotion understanding, and emotion regulation facets in explaining job performance; (b) conceptual redundancy of EI with cognitive intelligence and Big Five personality; and (c) application of the EI label to 2 distinct sets of constructs (i.e., ability-based EI and mixed-based EI). In the current article, the authors propose and then test a theoretical model that integrates these factors. They specify a progressive (cascading) pattern among ability-based EI facets, in which emotion perception must causally precede emotion understanding, which in turn precedes conscious emotion regulation and job performance. The sequential elements in this progressive model are believed to selectively reflect Conscientiousness, cognitive ability, and Neuroticism, respectively. "Mixed-based" measures of EI are expected to explain variance in job performance beyond cognitive ability and personality. The cascading model of EI is empirically confirmed via meta-analytic data, although relationships between ability-based EI and job performance are shown to be inconsistent (i.e., EI positively predicts performance for high emotional labor jobs and negatively predicts performance for low emotional labor jobs). Gender and race differences in EI are also meta-analyzed. Implications for linking the EI fad in personnel selection to established psychological theory are discussed.

  9. Modeling the prediction of business intelligence system effectiveness.

    Science.gov (United States)

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

    2016-01-01

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

  10. Application of Artificial Intelligence for Bridge Deterioration Model

    Directory of Open Access Journals (Sweden)

    Zhang Chen

    2015-01-01

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

  11. Advances in Intelligent Modelling and Simulation Simulation Tools and Applications

    CERN Document Server

    Oplatková, Zuzana; Carvalho, Marco; Kisiel-Dorohinicki, Marek

    2012-01-01

    The human capacity to abstract complex systems and phenomena into simplified models has played a critical role in the rapid evolution of our modern industrial processes and scientific research. As a science and an art, Modelling and Simulation have been one of the core enablers of this remarkable human trace, and have become a topic of great importance for researchers and practitioners. This book was created to compile some of the most recent concepts, advances, challenges and ideas associated with Intelligent Modelling and Simulation frameworks, tools and applications. The first chapter discusses the important aspects of a human interaction and the correct interpretation of results during simulations. The second chapter gets to the heart of the analysis of entrepreneurship by means of agent-based modelling and simulations. The following three chapters bring together the central theme of simulation frameworks, first describing an agent-based simulation framework, then a simulator for electrical machines, and...

  12. Application of Artificial Intelligence for Bridge Deterioration Model.

    Science.gov (United States)

    Chen, Zhang; Wu, Yangyang; Li, Li; Sun, Lijun

    2015-01-01

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

  13. Multimedia in the Writing Center: Visual Rhetoric and Tutor Training

    OpenAIRE

    Conard-Salvo, Tammy

    2006-01-01

    This presentation at the Conference on College Composition and Communication (CCCC) discusses the impact that multimedia projects have on writing centers and offers one model for integrating a visual rhetoric unit in an undergraduate tutor training course.

  14. Neuro-Based Artificial Intelligence Model for Loan Decisions

    Directory of Open Access Journals (Sweden)

    Shorouq F. Eletter

    2010-01-01

    Full Text Available Problem statement: Despite the increase in consumer loans defaults and competition in the banking market, most of the Jordanian commercial banks are reluctant to use artificial intelligence software systems for supporting loan decisions. Approach: This study developed a proposed model that identifies artificial neural network as an enabling tool for evaluating credit applications to support loan decisions in the Jordanian Commercial banks. A multi-layer feed-forward neural network with backpropagation learning algorithm was used to build up the proposed model. Results: Different representative cases of loan applications were considered based on the guidelines of different banks in Jordan, to validate the neural network model. Conclusion: The results indicated that artificial neural networks are a successful technology that can be used in loan application evaluation in the Jordanian commercial banks.

  15. A Swarm Intelligence Based Model for Mobile Cloud Computing

    Directory of Open Access Journals (Sweden)

    Ahmed S. Salama

    2015-01-01

    Full Text Available Mobile Computing (MC provides multi services and a lot of advantages for millions of users across the world over the internet. Millions of business customers have leveraged cloud computing services through mobile devices to get what is called Mobile Cloud Computing (MCC. MCC aims at using cloud computing techniques for storage and processing of data on mobile devices, thereby reducing their limitations. This paper proposes architecture for a Swarm Intelligence Based Mobile Cloud Computing Model (SIBMCCM. A model that uses a proposed Parallel Particle Swarm Optimization (PPSO algorithm to enhance the access time for the mobile cloud computing services which support different E Commerce models and to better secure the communication through the mobile cloud and the mobile commerce transactions.

  16. A COMPARISON BETWEEN THREE PREDICTIVE MODELS OF COMPUTATIONAL INTELLIGENCE

    Directory of Open Access Journals (Sweden)

    DUMITRU CIOBANU

    2013-12-01

    Full Text Available Time series prediction is an open problem and many researchers are trying to find new predictive methods and improvements for the existing ones. Lately methods based on neural networks are used extensively for time series prediction. Also, support vector machines have solved some of the problems faced by neural networks and they began to be widely used for time series prediction. The main drawback of those two methods is that they are global models and in the case of a chaotic time series it is unlikely to find such model. In this paper it is presented a comparison between three predictive from computational intelligence field one based on neural networks one based on support vector machine and another based on chaos theory. We show that the model based on chaos theory is an alternative to the other two methods.

  17. Mobile intelligent agent entity model towards QoS guarantee

    Institute of Scientific and Technical Information of China (English)

    LI Jie; WANG Ru-chuan; BIAN Zhen-gai

    2006-01-01

    Implementing a flexible configuration of the QoS parameter in a distributed computing network has become a problem due to the weak scalability of current approaches.In an effort to solve this problem,an inner basic model of an intelligent agent (IA) is presented.The IA functionality was extended by introducing a primarily mobile agent.A QoS guarantee scheme was subsequently designed and implemented based on the model as well.By utilizing the proposed scheme,the IA can sense,predict and configure the data flow traffic.Since the communicating ability was considered and provided,the competition among different devices could be eliminated effectively and the global traffic can be optimized.The results of the simulations have shown that the proposed model can provide a QoS guarantee.

  18. Time Series Analysis, Modeling and Applications A Computational Intelligence Perspective

    CERN Document Server

    Chen, Shyi-Ming

    2013-01-01

    Temporal and spatiotemporal data form an inherent fabric of the society as we are faced with streams of data coming from numerous sensors, data feeds, recordings associated with numerous areas of application embracing physical and human-generated phenomena (environmental data, financial markets, Internet activities, etc.). A quest for a thorough analysis, interpretation, modeling and prediction of time series comes with an ongoing challenge for developing models that are both accurate and user-friendly (interpretable). The volume is aimed to exploit the conceptual and algorithmic framework of Computational Intelligence (CI) to form a cohesive and comprehensive environment for building models of time series. The contributions covered in the volume are fully reflective of the wealth of the CI technologies by bringing together ideas, algorithms, and numeric studies, which convincingly demonstrate their relevance, maturity and visible usefulness. It reflects upon the truly remarkable diversity of methodological a...

  19. Intelligent Model for Measuring Organization Maturity in E-Business

    Directory of Open Access Journals (Sweden)

    Sadra Ahmadi

    2009-07-01

    Full Text Available E-Business is one of the most fascinating areas of information Technology. Managers should seek out means for making decision towards optimizing resource development in this area in order to control their expense and capital allocations at a higher, strategic level. To do this, manager must first identify their level of e-business development and plan to improve the status quo by identifying factors contributing to the growth in this approach. The present paper aims to construct and develop intelligent models for determining the organization status quo and management decision-making towards improving the situation using fuzzy [logic] tools. Thus for modeling these factors and their impact, the contributing factors in development of e-business approaches were identified by literature survey. These were later categorized using Delphi Method. Furthermore the FCM model was used to graphically illustrate the causal relationships among factors, including the mode and means of their mutual impact.

  20. Intelligent tutorial system for teaching of probability and statistics at high school in Mexico

    Directory of Open Access Journals (Sweden)

    Fernando Gudino Penaloza, Miguel Gonzalez Mendoza, Neil Hernandez Gress, Jaime Mora Vargas

    2009-12-01

    Full Text Available This paper describes the implementation of an intelligent tutoring system dedicated to teaching probability and statistics atthe preparatory school (or high school in Mexico. The system solution was used as a desktop computer and adapted tocarry a mobile environment for the implementation of mobile learning or m-learning. The system complies with the idea ofbeing adaptable to the needs of each student and is able to adapt to three different teaching models that meet the criteriaof three student profiles.

  1. Case-Based Tutoring with Concept Maps

    OpenAIRE

    Sørmo, Frode

    2007-01-01

    The goal of this thesis is to investigate methods for computerized tutoring support that is adapted to the individual student. In particular, we are concerned with providing such assistance to students solving exercises in domains where a complete or accurate problem-solving model is infeasible. We propose to do this by using concept maps as a means for students to model their own knowledge. Combined with results from earlier exercises, the concept map can form a student model that can be use...

  2. A Soft Intelligent Risk Evaluation Model for Credit Scoring Classification

    Directory of Open Access Journals (Sweden)

    Mehdi Khashei

    2015-09-01

    Full Text Available Risk management is one of the most important branches of business and finance. Classification models are the most popular and widely used analytical group of data mining approaches that can greatly help financial decision makers and managers to tackle credit risk problems. However, the literature clearly indicates that, despite proposing numerous classification models, credit scoring is often a difficult task. On the other hand, there is no universal credit-scoring model in the literature that can be accurately and explanatorily used in all circumstances. Therefore, the research for improving the efficiency of credit-scoring models has never stopped. In this paper, a hybrid soft intelligent classification model is proposed for credit-scoring problems. In the proposed model, the unique advantages of the soft computing techniques are used in order to modify the performance of the traditional artificial neural networks in credit scoring. Empirical results of Australian credit card data classifications indicate that the proposed hybrid model outperforms its components, and also other classification models presented for credit scoring. Therefore, the proposed model can be considered as an appropriate alternative tool for binary decision making in business and finance, especially in high uncertainty conditions.

  3. Synthetic vision and emotion calculation in intelligent virtual human modeling.

    Science.gov (United States)

    Zhao, Y; Kang, J; Wright, D K

    2007-01-01

    The virtual human technique can already provide vivid and believable human behaviour in more and more scenarios. Virtual humans are expected to replace real humans in hazardous situations to undertake tests and feed back valuable information. This paper will introduce a virtual human with a novel collision-based synthetic vision, short-term memory model and a capability to implement emotion calculation and decision making. The virtual character based on this model can 'see' what is in its field of view (FOV) and remember those objects. After that, a group of affective computing equations have been introduced. These equations have been implemented into a proposed emotion calculation process to enlighten emotion for virtual intelligent humans.

  4. A vector relational data modeling approach to Insider threat intelligence

    Science.gov (United States)

    Kelly, Ryan F.; Anderson, Thomas S.

    2016-05-01

    We address the problem of detecting insider threats before they can do harm. In many cases, co-workers notice indications of suspicious activity prior to insider threat attacks. A partial solution to this problem requires an understanding of how information can better traverse the communication network between human intelligence and insider threat analysts. Our approach employs modern mobile communications technology and scale free network architecture to reduce the network distance between human sensors and analysts. In order to solve this problem, we propose a Vector Relational Data Modeling approach to integrate human "sensors," geo-location, and existing visual analytics tools. This integration problem is known to be difficult due to quadratic increases in cost associated with complex integration solutions. A scale free network integration approach using vector relational data modeling is proposed as a method for reducing network distance without increasing cost.

  5. Promising synergies of simulation model management, software engineering, artificial intelligence, and general system theories

    Energy Technology Data Exchange (ETDEWEB)

    Oren, T.I.

    1982-01-01

    Simulation is viewed within the model management paradigm. Major components of simulation systems as well as elements of model management are outlined. Possible synergies of simulation model management, software engineering, artificial intelligence, and general system theories are systematized. 21 references.

  6. Tips for Reading Tutors = Consejos para los Tutores en Lectura.

    Science.gov (United States)

    Department of Education, Washington, DC.

    Reading is the basis for learning and school success. While reading is learned primarily in the classroom, many students need extra time and help. Research shows that tutoring is a great way for individuals and groups outside school to support learning, but effective tutoring requires appropriate training and careful planning. This brochure,…

  7. Corticonic models of brain mechanisms underlying cognition and intelligence

    Science.gov (United States)

    Farhat, Nabil H.

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

  8. The ability model of emotional intelligence: Searching for valid measures

    OpenAIRE

    Fiori, M.; Antonakis, J.

    2011-01-01

    Current measures of ability emotional intelligence (EI)--including the well-known Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT)--suffer from several limitations, including low discriminant validity and questionable construct and incremental validity. We show that the MSCEIT is largely predicted by personality dimensions, general intelligence, and demographics having multiple R's with the MSCEIT branches up to .66; for the general EI factor this relation was even stronger (Multiple...

  9. Analysis of Intelligent Transportation Systems Using Model-Driven Simulations

    Directory of Open Access Journals (Sweden)

    Alberto Fernández-Isabel

    2015-06-01

    Full Text Available Intelligent Transportation Systems (ITSs integrate information, sensor, control, and communication technologies to provide transport related services. Their users range from everyday commuters to policy makers and urban planners. Given the complexity of these systems and their environment, their study in real settings is frequently unfeasible. Simulations help to address this problem, but present their own issues: there can be unintended mistakes in the transition from models to code; their platforms frequently bias modeling; and it is difficult to compare works that use different models and tools. In order to overcome these problems, this paper proposes a framework for a model-driven development of these simulations. It is based on a specific modeling language that supports the integrated specification of the multiple facets of an ITS: people, their vehicles, and the external environment; and a network of sensors and actuators conveniently arranged and distributed that operates over them. The framework works with a model editor to generate specifications compliant with that language, and a code generator to produce code from them using platform specifications. There are also guidelines to help researchers in the application of this infrastructure. A case study on advanced management of traffic lights with cameras illustrates its use.

  10. Analysis of Intelligent Transportation Systems Using Model-Driven Simulations

    Science.gov (United States)

    Fernández-Isabel, Alberto; Fuentes-Fernández, Rubén

    2015-01-01

    Intelligent Transportation Systems (ITSs) integrate information, sensor, control, and communication technologies to provide transport related services. Their users range from everyday commuters to policy makers and urban planners. Given the complexity of these systems and their environment, their study in real settings is frequently unfeasible. Simulations help to address this problem, but present their own issues: there can be unintended mistakes in the transition from models to code; their platforms frequently bias modeling; and it is difficult to compare works that use different models and tools. In order to overcome these problems, this paper proposes a framework for a model-driven development of these simulations. It is based on a specific modeling language that supports the integrated specification of the multiple facets of an ITS: people, their vehicles, and the external environment; and a network of sensors and actuators conveniently arranged and distributed that operates over them. The framework works with a model editor to generate specifications compliant with that language, and a code generator to produce code from them using platform specifications. There are also guidelines to help researchers in the application of this infrastructure. A case study on advanced management of traffic lights with cameras illustrates its use. PMID:26083232

  11. Modeling Common-Sense Decisions in Artificial Intelligence

    Science.gov (United States)

    Zak, Michail

    2010-01-01

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

  12. Peer and Cross-Age Tutoring. ERIC Digest, Number 79.

    Science.gov (United States)

    Gaustad, Joan

    One-to-one tutoring programs, such as peer and cross-age tutoring, can result in emotional and learning benefits for the tutor and the tutee. Peer tutoring involves two students of the same age. In cross-age tutoring, the tutor is older than the tutee. The Willamette High School Peer Tutoring Program in Eugene, Oregon; the Coca-Cola Valued Youth…

  13. Perceptions of Tutoring Roles and Psychological Distance among Instructors, Tutors and Students at a Korean University

    Science.gov (United States)

    Lee, Hye-Jung; Hong, Youngil; Choi, Hyoseon

    2017-01-01

    This study explores issues related to the tutor's role when initiating tutoring as an institutional strategy at a conventional university. Based on a pilot tutoring program implemented in four college courses, we investigated the perceptions of instructors, tutors and students regarding the role of tutoring and whether it affected the…

  14. Coaching Tutors: An Instrumental Case Study on Testing an Integrated Framework for Tutoring Sessions

    Science.gov (United States)

    Holland, Alicia L.; Grant, Chris; Donthamsetty, Reshema

    2017-01-01

    The objective for the current qualitative case study was to examine participants' perceptions on the tutor coaching and session review frameworks. The location of the study was at the tutor coaches' place of business. At the beginning of the study, tutor coaches were trained on how to implement the tutoring coaching framework with their tutors,…

  15. Perceptions of Tutoring Roles and Psychological Distance among Instructors, Tutors and Students at a Korean University

    Science.gov (United States)

    Lee, Hye-Jung; Hong, Youngil; Choi, Hyoseon

    2017-01-01

    This study explores issues related to the tutor's role when initiating tutoring as an institutional strategy at a conventional university. Based on a pilot tutoring program implemented in four college courses, we investigated the perceptions of instructors, tutors and students regarding the role of tutoring and whether it affected the…

  16. Intelligent Augmented Reality Training for Motherboard Assembly

    Science.gov (United States)

    Westerfield, Giles; Mitrovic, Antonija; Billinghurst, Mark

    2015-01-01

    We investigate the combination of Augmented Reality (AR) with Intelligent Tutoring Systems (ITS) to assist with training for manual assembly tasks. Our approach combines AR graphics with adaptive guidance from the ITS to provide a more effective learning experience. We have developed a modular software framework for intelligent AR training…

  17. Intelligent Augmented Reality Training for Motherboard Assembly

    Science.gov (United States)

    Westerfield, Giles; Mitrovic, Antonija; Billinghurst, Mark

    2015-01-01

    We investigate the combination of Augmented Reality (AR) with Intelligent Tutoring Systems (ITS) to assist with training for manual assembly tasks. Our approach combines AR graphics with adaptive guidance from the ITS to provide a more effective learning experience. We have developed a modular software framework for intelligent AR training…

  18. Who Is the Preferred Tutor in Clinical Skills Training: Physicians, Nurses, or Peers?

    Science.gov (United States)

    Abay, Ece Şükriye; Turan, Sevgi; Odabaşı, Orhan; Elçin, Melih

    2017-01-01

    point was that sufficient tutor training and preparation was crucial for the success of models.

  19. Integrated Modeling and Intelligent Control Methods of Grinding Process

    Directory of Open Access Journals (Sweden)

    Jie-sheng Wang

    2013-01-01

    Full Text Available The grinding process is a typical complex nonlinear multivariable process with strongly coupling and large time delays. Based on the data-driven modeling theory, the integrated modeling and intelligent control method of grinding process is carried out in the paper, which includes the soft-sensor model of economic and technique indexes, the optimized set-point model utilizing case-based reasoning, and the self-tuning PID decoupling controller. For forecasting the key technology indicators (grinding granularity and mill discharge rate of grinding process, an adaptive soft-sensor modeling method based on wavelet neural network optimized by the improved shuffled frog leaping algorithm (ISFLA is proposed. Then, a set point optimization control strategy of grinding process based on case-based reasoning (CBR method is adopted to obtain the optimized velocity set-point of ore feed and pump water feed in the grinding process controlled loops. Finally, a self-tuning PID decoupling controller optimized is used to control the grinding process. Simulation results and industrial application experiments clearly show the feasibility and effectiveness of control methods and satisfy the real-time control requirements of the grinding process.

  20. Advances in simulated modeling of vibration systems based on computational intelligence

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    Computational intelligence is the computational simulation of the bio-intelligence, which includes artificial neural networks, fuzzy systems and evolutionary computations. This article summarizes the state of the art in the field of simulated modeling of vibration systems using methods of computational intelligence, based on some relevant subjects and the authors' own research work. First, contributions to the applications of computational intelligence to the identification of nonlinear characteristics of packaging are reviewed. Subsequently, applications of the newly developed training algorithms for feedforward neural networks to the identification of restoring forces in multi-degree-of-freedom nonlinear systems are discussed. Finally, the neural-network-based method of model reduction for the dynamic simulation of microelectromechanical systems (MEMS) using generalized Hebbian algorithm (GHA) and robust GHA is outlined. The prospects of the simulated modeling of vibration systems using techniques of computational intelligence are also indicated.

  1. Tutoring Social Sciences learning

    Directory of Open Access Journals (Sweden)

    Sara Prades Plaza

    2016-03-01

    With this experience teaching innovation we have sought to improve our academic methodology, giving a strong weight to the tutoring, both onsite and virtual. We also have tried to encourage teamwork in groups and independent learning. Thanks to these improvements, we have continuously evaluated the students, while students self evaluate their learning process. In summary, the proposal of educational innovation that we have carried out has shown the need to promote a system of mentoring to advise, guide and support students in their learning process.

  2. Sign Language Tutoring Tool

    CERN Document Server

    Aran, Oya; Benoit, Alexandre; Carrillo, Ana Huerta; Fanard, François-Xavier; Campr, Pavel; Akarun, Lale; Caplier, Alice; Rombaut, Michele; Sankur, Bulent

    2008-01-01

    In this project, we have developed a sign language tutor that lets users learn isolated signs by watching recorded videos and by trying the same signs. The system records the user's video and analyses it. If the sign is recognized, both verbal and animated feedback is given to the user. The system is able to recognize complex signs that involve both hand gestures and head movements and expressions. Our performance tests yield a 99% recognition rate on signs involving only manual gestures and 85% recognition rate on signs that involve both manual and non manual components, such as head movement and facial expressions.

  3. ANALISA REKAYASA PERANGKAT LUNAK SISTEM E-LEARNING DETEKSI DAN KOREKSI KESALAHAN BIT PADA KOMUNIKASI DATA DENGAN MODEL PROBLEM BASED LEARNING

    OpenAIRE

    MY Teguh Sulistyono; Sudaryanto Sudaryanto

    2014-01-01

    Analisa sistem e-learning deteksi dan koreksi kesalahan bit pada komunikasi data dengan model problem based learning diperlukan sebuah teknologi pembelajaran untuk computer-base training, electric performance support systems, computer assisted instruction, intelligent tutoring, education dan training technology dengan area subyek meliputi  reference model, leaner model, task model, student identifiers, competency definitions, user interface, learning content interchange, learning content pack...

  4. An application of artificial intelligence for rainfall–runoff modeling

    Indian Academy of Sciences (India)

    Ali Aytek; M Asce; Murat Alp

    2008-04-01

    This study proposes an application of two techniques of artificial intelligence (AI) for rainfall–runoff modeling: the artificial neural networks (ANN) and the evolutionary computation (EC). Two different ANN techniques, the feed forward back propagation (FFBP) and generalized regression neural network (GRNN) methods are compared with one EC method, Gene Expression Programming (GEP) which is a new evolutionary algorithm that evolves computer programs. The daily hydrometeorological data of three rainfall stations and one streamflow station for Juniata River Basin in Pennsylvania state of USA are taken into consideration in the model development. Statistical parameters such as average, standard deviation, coefficient of variation, skewness, minimum and maximum values, as well as criteria such as mean square error (MSE) and determination coefficient (2) are used to measure the performance of the models. The results indicate that the proposed genetic programming (GP) formulation performs quite well compared to results obtained by ANNs and is quite practical for use. It is concluded from the results that GEP can be proposed as an alternative to ANN models.

  5. A dynamical model of general intelligence: The positive manifold of intelligence by mutualism

    NARCIS (Netherlands)

    van der Maas, H.L.J.; Dolan, C.V.; Grasman, R.P.P.P.; Wicherts, J.M.; Huizenga, H.M.; Raijmakers, M.E.J.

    2006-01-01

    Scores on cognitive tasks used in intelligence tests correlate positively with each other, that is, they display a positive manifold of correlations. The positive manifold is often explained by positing a dominant latent variable, the g factor, associated with a single quantitative cognitive or biol

  6. Modelling intelligence-led policing to identify its potential

    NARCIS (Netherlands)

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

    2014-01-01

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

  7. Modelling intelligence-led policing to identify its potential

    NARCIS (Netherlands)

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

    2014-01-01

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

  8. Experiencing the role of PBL tutor.

    Science.gov (United States)

    Lyberg-Åhlander, Viveka; Lundskog, Margareta; Hansson, Kristina

    2014-01-01

    The tutor is important for student learning in the PBL group. The students expect the tutor to monitor and steer the group process and to support the learning process, helping students to become aware of their own learning. This study aimed at investigating the PBL tutor's role. Five PBL tutors at the Speech/Language Pathology program were interviewed regarding their view of the tutors' role and what support they need. The analysis of the transcribed interviews focused on finding patterns and variation regarding tutor-activity at different stages in the PBL work and in their views of their progress as tutors. The results indicate that being a tutor is a balancing act and that the tutor need continuous support and input from different sources. Tutors should be encouraged to reflect on their own reactions and interventions and to be explicit and confident in their thoughts about PBL.

  9. AN INTELLIGENT CLASSIFICATION MODEL FOR PHISHING EMAIL DETECTION

    Directory of Open Access Journals (Sweden)

    Adwan Yasin

    2016-07-01

    Full Text Available Phishing attacks are one of the trending cyber-attacks that apply socially engineered messages that are communicated to people from professional hackers aiming at fooling users to reveal their sensitive information, the most popular communication channel to those messages is through users’ emails. This paper presents an intelligent classification model for detecting phishing emails using knowledge discovery, data mining and text processing techniques. This paper introduces the concept of phishing terms weighting which evaluates the weight of phishing terms in each email. The pre-processing phase is enhanced by applying text stemming and WordNet ontology to enrich the model with word synonyms. The model applied the knowledge discovery procedures using five popular classification algorithms and achieved a notable enhancement in classification accuracy; 99.1% accuracy was achieved using the Random Forest algorithm and 98.4% using J48, which is –to our knowledge- the highest accuracy rate for an accredited data set. This paper also presents a comparative study with similar proposed classification techniques.

  10. Success in tutoring electronic troubleshooting

    Science.gov (United States)

    Parker, Ellen M.

    1990-01-01

    Two years ago Dr. Sherrie Gott of the Air Force Human Resources Laboratory described an avionics troubleshooting tutor being developed under the Basic Job Skills Research Program. The tutor, known as Sherlock, is directed at teaching the diagnostic procedures necessary to investigate complex test equipment used to maintain F-15 fighter aircraft. Since Dr. Gott's presentation in 1987, the tutor has undergone field testing at two Air Force F-15 flying wings. The results of the field test showed that after an average of 20 hours on the tutor, the 16 airmen in the experimental group (who average 28 months of experience) showed significant performance gains when compared to a control group (having a mean experience level of 37 months) who continued participating in the existing on-the-job training program. Troubleshooting performance of the tutored group approached the level of proficiency of highly experienced airmen (averaging approximately 114 months of experience), and these performance gains were confirmed in delayed testing six months following the intervention. The tutor is currently undergoing a hardware and software conversion form a Xerox Lisp environment to a PC-based environment using an object-oriented programming language. Summarized here are the results of the successful field test. The focus is on: (1) the instructional features that contributed to Sherlock's success; and (2) the implementation of these features in the PC-based version of the avionics troubleshooting tutor.

  11. Adaptive Tutoring for Self-Regulated Learning: A Tutorial on Tutoring Systems

    Science.gov (United States)

    2014-12-01

    learning (SRL) per the Army Learning Model • ontology • tools • methods • standards • exemplars Adaptive Tutoring Systems • Adaptive • Affordable... Ontology -based Student model in Semantic-oriented Access to the Knowledge in Digital Libraries. In proc. of HUBUSKA Fourth Open Workshop “Semantic Web...support or direct). This team state model is a compound model of the trust states existing between team members. The trust relationships are bi -direction

  12. Modelado del estudiante para el STI ELE-TUTOR: diseño de un componente adaptativo para apoyar la competencia lingüística del español como lengua extranjera STUDENT MODELLING FOR THE ELE-TUTOR ITS: DESIGNING AN ADAPTIVE COMPONENT TO SUPPORT LINGUISTIC COMPETENCE IN SPANISH AS A FOREIGN LANGUAGE

    Directory of Open Access Journals (Sweden)

    Fernanda Barrientos Contreras

    2012-01-01

    Full Text Available Los Sistemas Tutoriales Inteligentes (STI para la enseñanza de lenguas son aplicaciones computacionales capaces de procesar un enunciado en lenguaje natural ingresado por un estudiante de lengua, para luego entregarle un feedback personalizado y adecuado a su competencia lingüística. Sin embargo, para que el STI logre adaptar su comportamiento a las necesidades del alumno es fundamental contar con un módulo del estudiante, el cual recopila y procesa información sobre cada uno de los estudiantes que interactúan con el sistema. El presente trabajo da cuenta del diseño de un módulo de estudiante para un sistema tutorial inteligente destinado a la enseñanza del español como lengua extranjera para nivel B2 del MCER, tomando en consideración las variables de nivel de proficiencia, estilo de aprendizaje y tipo de error cometido correspondiente a cada usuario del sistema. Además, debido a que la variable nivel de proficiencia cambia a medida que el estudiante avanza en los ejercicios, se contempla un sistema de diagnóstico y actualización de los datos mediante una red bayesiana. La salida del módulo de estudiante corresponde entonces a un vector con valores específicos para cada variable, el cual es posteriormente procesado por el módulo tutor para que éste decida las estrategias de feedback correctivo pertinentes.Intelligent Tutorial Systems (ITS for language teaching are computational applications that are capable to process natural language input provided by a language student, in order to give feedback strategies according to their linguistic competence. However, in order to achieve this adaptability, it is important to develop a student module, which stores and processes information about each one of the students that interact with the system. The present work is a design of a student module for an intelligent tutorial system (ITS to teach Spanish as a foreign language considering the B2 level of the Common European Framework

  13. Predicting chick body mass by artificial intelligence-based models

    Directory of Open Access Journals (Sweden)

    Patricia Ferreira Ponciano Ferraz

    2014-07-01

    Full Text Available The objective of this work was to develop, validate, and compare 190 artificial intelligence-based models for predicting the body mass of chicks from 2 to 21 days of age subjected to different duration and intensities of thermal challenge. The experiment was conducted inside four climate-controlled wind tunnels using 210 chicks. A database containing 840 datasets (from 2 to 21-day-old chicks - with the variables dry-bulb air temperature, duration of thermal stress (days, chick age (days, and the daily body mass of chicks - was used for network training, validation, and tests of models based on artificial neural networks (ANNs and neuro-fuzzy networks (NFNs. The ANNs were most accurate in predicting the body mass of chicks from 2 to 21 days of age after they were subjected to the input variables, and they showed an R² of 0.9993 and a standard error of 4.62 g. The ANNs enable the simulation of different scenarios, which can assist in managerial decision-making, and they can be embedded in the heating control systems.

  14. Dynamic Cognitive Tracing: Towards Unified Discovery of Student and Cognitive Models

    Science.gov (United States)

    Gonzalez-Brenes, Jose P.; Mostow, Jack

    2012-01-01

    This work describes a unified approach to two problems previously addressed separately in Intelligent Tutoring Systems: (i) Cognitive Modeling, which factorizes problem solving steps into the latent set of skills required to perform them; and (ii) Student Modeling, which infers students' learning by observing student performance. The practical…

  15. Analysis of Construction Model of Postgraduate Tutor Team Based on Team Role Theory%基于团队角色理论的研究生导师团队构建模式探究

    Institute of Scientific and Technical Information of China (English)

    胡辉; 蔡昭权

    2014-01-01

    With the expansion of postgraduate enrollment year after year,it is an objective demand for implementing tutor team model for postgraduate cultivation in the new era,but the construction of tutor team plays a key role in postgraduate cultivation. The reforming suggestion of fusing“the Belbin team role theory”in construction of postgraduate tutor team,in a positive innovation of postgraduate cultivation model,is a positive probe which adapts to the characteristics of postgradu-ate cultivating in the new situation.%随着研究生招生规模的逐年扩大,推行研究生导师团队模式成为新时期研究生培养的客观需求,而导师团队的水平则是决定研究生培养质量的关键因素。通过在研究生导师团队的构建中引入贝尔宾团队角色理论这一改革建议,在研究生培养模式上积极创新,这是新形势下符合研究生培养特点的一种积极探索。

  16. Bayesian Student Modeling and the Problem of Parameter Specification.

    Science.gov (United States)

    Millan, Eva; Agosta, John Mark; Perez de la Cruz, Jose Luis

    2001-01-01

    Discusses intelligent tutoring systems and the application of Bayesian networks to student modeling. Considers reasons for not using Bayesian networks, including the computational complexity of the algorithms and the difficulty of knowledge acquisition, and proposes an approach to simplify knowledge acquisition that applies causal independence to…

  17. 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.

  18. Does Reading Cause Later Intelligence? Accounting for Stability in Models of Change.

    Science.gov (United States)

    Bailey, Drew H; Littlefield, Andrew K

    2016-11-08

    This study reanalyzes data presented by Ritchie, Bates, and Plomin (2015) who used a cross-lagged monozygotic twin differences design to test whether reading ability caused changes in intelligence. The authors used data from a sample of 1,890 monozygotic twin pairs tested on reading ability and intelligence at five occasions between the ages of 7 and 16, regressing twin differences in intelligence on twin differences in prior intelligence and twin differences in prior reading ability. Results from a state-trait model suggest that reported effects of reading ability on later intelligence may be artifacts of previously uncontrolled factors, both environmental in origin and stable during this developmental period, influencing both constructs throughout development. Implications for cognitive developmental theory and methods are discussed. © 2016 The Authors. Child Development © 2016 Society for Research in Child Development, Inc.

  19. Structural equation model of intellectual change and continuity and predictors of intelligence in older men.

    Science.gov (United States)

    Gold, D P; Andres, D; Etezadi, J; Arbuckle, T; Schwartzman, A; Chaikelson, J

    1995-06-01

    This study examined the effects of abilities as a young adult, an engaged lifestyle, personality, age, and health on continuity and change in intellectual abilities from early to late adulthood. A battery of measures, including a verbal and nonverbal intelligence test, was given to 326 Canadian army veterans. Archival data provided World War Two enlistment scores on the same intelligence test for this sample: Results indicated relative stability of intellectual scores across 40 years, with increases in vocabulary and decreases in arithmetic, verbal analogies, and nonverbal skills. Young adult intelligence was the most important determinant of older adult performance. Predictors for verbal intelligence were consistent with an engagement model of intellectual maintenance but also indicated the importance of introversion-extraversion and age. Nonverbal intelligence in late life was predicted by young adult nonverbal scores, age, health, and introversion-extraversion.

  20. Emotional intelligence model for directors of research centers in mexico

    Directory of Open Access Journals (Sweden)

    Mara Maricela Trujillo Flores

    2008-01-01

    H5 Social skills exhibited by directors, that are also part of interpersonal intelligence, allow a director to exert a greater influence on the working group, facilitating communication, conflict management, leadership, collaboration, cooperation and development of team skills.

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

    National Research Council Canada - National Science Library

    Chen, Hui; Xiong, Shenghua; Ren, Xuan

    2014-01-01

    ... rate of return to simplify the complexity of this detection. In this paper, an artificial intelligence model was developed to identify adults at risk of metabolic syndrome based on physical signs...

  2. Design, modelling, implementation, and intelligent fuzzy control of a hovercraft

    Science.gov (United States)

    El-khatib, M. M.; Hussein, W. M.

    2011-05-01

    A Hovercraft is an amphibious vehicle that hovers just above the ground or water by air cushion. The concept of air cushion vehicle can be traced back to 1719. However, the practical form of hovercraft nowadays is traced back to 1955. The objective of the paper is to design, simulate and implement an autonomous model of a small hovercraft equipped with a mine detector that can travel over any terrains. A real time layered fuzzy navigator for a hovercraft in a dynamic environment is proposed. The system consists of a Takagi-Sugenotype fuzzy motion planner and a modified proportional navigation based fuzzy controller. The system philosophy is inspired by human routing when moving between obstacles based on visual information including the right and left views from which he makes his next step towards the goal in the free space. It intelligently combines two behaviours to cope with obstacle avoidance as well as approaching a goal using a proportional navigation path accounting for hovercraft kinematics. MATLAB/Simulink software tool is used to design and verify the proposed algorithm.

  3. Gray matter correlates of Trait and Ability models of emotional intelligence.

    Science.gov (United States)

    Killgore, William D S; Weber, Mareen; Schwab, Zachary J; Deldonno, Sophie R; Kipman, Maia; Weiner, Melissa R; Rauch, Scott L

    2012-06-20

    Research suggests that emotional intelligence capacities may be related to the functional integrity of the corticolimbic regions including the ventromedial prefrontal cortex, insula, and amygdala. No study has yet examined regional brain volumes in relation to the two dominant models of emotional intelligence: the Ability model, which posits a set of specific demonstrable capabilities for solving emotional problems, and the Trait model, which proposes a set of stable emotional competencies that can be assessed through subjectively rated self-report scales. In 36 healthy participants, we correlated scores on the Mayer-Salovey-Caruso Emotional Intelligence Test (an Ability measure) and the Bar-On Emotional Quotient Inventory (a Trait measure) with regional brain volumes using voxel-based morphometry. Total Mayer-Salovey-Caruso Emotional Intelligence Test scores were positively correlated with the left insula grey matter volume. The Strategic emotional intelligence subscale correlated positively with the left ventromedial prefrontal cortex and insular volume. In contrast, for the Bar-On Emotional Quotient Inventory, Stress Management scores correlated positively with the bilateral ventromedial prefrontal cortex volume. Amygdala volumes were unrelated to emotional intelligence measures. Findings support the role of the ventromedial prefrontal cortex and insula as key nodes in the emotional intelligence circuitry.

  4. Data-Driven Hint Generation in Vast Solution Spaces: A Self-Improving Python Programming Tutor

    Science.gov (United States)

    Rivers, Kelly; Koedinger, Kenneth R.

    2017-01-01

    To provide personalized help to students who are working on code-writing problems, we introduce a data-driven tutoring system, ITAP (Intelligent Teaching Assistant for Programming). ITAP uses state abstraction, path construction, and state reification to automatically generate personalized hints for students, even when given states that have not…

  5. Data-Driven Hint Generation in Vast Solution Spaces: A Self-Improving Python Programming Tutor

    Science.gov (United States)

    Rivers, Kelly; Koedinger, Kenneth R.

    2017-01-01

    To provide personalized help to students who are working on code-writing problems, we introduce a data-driven tutoring system, ITAP (Intelligent Teaching Assistant for Programming). ITAP uses state abstraction, path construction, and state reification to automatically generate personalized hints for students, even when given states that have not…

  6. Türkçe Öğrenimi İçin Web Tabanlı Zeki Öğretim Sistemi (Türkzös Ve Değerlendirmesi Web Based Intelligent Tutoring System For Turkish Learning (Türkzös And Evaluation

    Directory of Open Access Journals (Sweden)

    Nursal ARICI

    2013-09-01

    Full Text Available E-learning is a learning model which is the product ofdevelopments in information technologies. This model providesadvantages in order to enriche the learning contents with audio-visualitems and to deliver this contents to the people at any time and anyplace on time. In language trainning, particularly in English, the elearningmodels are mostly used. This model is crucial in languagelearning and teaching area. With this awareness of the e-learningsystem in language learning and teaching area, a special e-learningsystem has been developed for the Turkish Language teaching namedas TÜRKZÖS. In this article, the contributions of the develepod elearningsystem has been introduced and explained with the opinions ofthe Turkish teachers and teacher candidates about the system. Thepurpose of the developing the TÜRKZÖS is to give assistance for theTurkish language learners and teachers by providing opportunities ofinformation technologies. The system has been designed to servethrough the Internet and it provides the opportunity to use enrichedelements such as web, speech synthesis-recognition systems,animation, image and shape. The system supported by enrichedelements is aimed to improve the basic skills such as reading,speaking, writing and listening in Turkish training. An another featureof TÜRKZÖS, is an intelligent tutoring system developed by usingartificial intelligence tecniques.The features which makes the systemintelligent are the followings: (i.It can introduce the loaded domaincontent adaptable to the student’s knowledge level and personalcapability, (ii. It can lead and give intelligent assistance and suitableguidance to the student.TÜRKZÖS consists of eight compenents. Threeof them are the standart compenents in Intelligent Tutoring Systems.The other compenents are the speech synthesis and the speechrecognition which give the opportunity to arrange the activities toimprove the reading and speaking skills and can be exercised by

  7. Student Modeling in Orthopedic Surgery Training: Exploiting Symbiosis between Temporal Bayesian Networks and Fine-Grained Didactic Analysis

    Science.gov (United States)

    Chieu, Vu Minh; Luengo, Vanda; Vadcard, Lucile; Tonetti, Jerome

    2010-01-01

    Cognitive approaches have been used for student modeling in intelligent tutoring systems (ITSs). Many of those systems have tackled fundamental subjects such as mathematics, physics, and computer programming. The change of the student's cognitive behavior over time, however, has not been considered and modeled systematically. Furthermore, the…

  8. Student Modeling in Orthopedic Surgery Training: Exploiting Symbiosis between Temporal Bayesian Networks and Fine-Grained Didactic Analysis

    Science.gov (United States)

    Chieu, Vu Minh; Luengo, Vanda; Vadcard, Lucile; Tonetti, Jerome

    2010-01-01

    Cognitive approaches have been used for student modeling in intelligent tutoring systems (ITSs). Many of those systems have tackled fundamental subjects such as mathematics, physics, and computer programming. The change of the student's cognitive behavior over time, however, has not been considered and modeled systematically. Furthermore, the…

  9. Evolvable mathematical models: A new artificial Intelligence paradigm

    Science.gov (United States)

    Grouchy, Paul

    We develop a novel Artificial Intelligence paradigm to generate autonomously artificial agents as mathematical models of behaviour. Agent/environment inputs are mapped to agent outputs via equation trees which are evolved in a manner similar to Symbolic Regression in Genetic Programming. Equations are comprised of only the four basic mathematical operators, addition, subtraction, multiplication and division, as well as input and output variables and constants. From these operations, equations can be constructed that approximate any analytic function. These Evolvable Mathematical Models (EMMs) are tested and compared to their Artificial Neural Network (ANN) counterparts on two benchmarking tasks: the double-pole balancing without velocity information benchmark and the challenging discrete Double-T Maze experiments with homing. The results from these experiments show that EMMs are capable of solving tasks typically solved by ANNs, and that they have the ability to produce agents that demonstrate learning behaviours. To further explore the capabilities of EMMs, as well as to investigate the evolutionary origins of communication, we develop NoiseWorld, an Artificial Life simulation in which interagent communication emerges and evolves from initially noncommunicating EMM-based agents. Agents develop the capability to transmit their x and y position information over a one-dimensional channel via a complex, dialogue-based communication scheme. These evolved communication schemes are analyzed and their evolutionary trajectories examined, yielding significant insight into the emergence and subsequent evolution of cooperative communication. Evolved agents from NoiseWorld are successfully transferred onto physical robots, demonstrating the transferability of EMM-based AIs from simulation into physical reality.

  10. Bayesian Model Averaging of Artificial Intelligence Models for Hydraulic Conductivity Estimation

    Science.gov (United States)

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

    2012-12-01

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

  11. Intelligent decision-making models for production and retail operations

    CERN Document Server

    Guo, Zhaoxia

    2016-01-01

    This book provides an overview of intelligent decision-making techniques and discusses their application in production and retail operations. Manufacturing and retail enterprises have stringent standards for using advanced and reliable techniques to improve decision-making processes, since these processes have significant effects on the performance of relevant operations and the entire supply chain. In recent years, researchers have been increasingly focusing attention on using intelligent techniques to solve various decision-making problems. The opening chapters provide an introduction to several commonly used intelligent techniques, such as genetic algorithm, harmony search, neural network and extreme learning machine. The book then explores the use of these techniques for handling various production and retail decision-making problems, such as production planning and scheduling, assembly line balancing, and sales forecasting.

  12. Expertise Amiss: Interactivity Fosters Learning but Expert Tutors Are Less Interactive than Novice Tutors

    Science.gov (United States)

    Herppich, Stephanie; Wittwer, Jörg; Nückles, Matthias; Renkl, Alexander

    2016-01-01

    The extent to which tutors are interactive and engage in dialogue with a student tends to depend on their pedagogical expertise. Normally, tutors with pedagogical expertise are more interactive than tutors without pedagogical expertise. This finding, however, has largely been obtained when examining tutoring in procedural domains such as…

  13. AutoTutor and Family: A Review of 17 Years of Natural Language Tutoring

    Science.gov (United States)

    Nye, Benjamin D.; Graesser, Arthur C.; Hu, Xiangen

    2014-01-01

    AutoTutor is a natural language tutoring system that has produced learning gains across multiple domains (e.g., computer literacy, physics, critical thinking). In this paper, we review the development, key research findings, and systems that have evolved from AutoTutor. First, the rationale for developing AutoTutor is outlined and the advantages…

  14. Analysing tutor feedback to students: first steps towards constructing an electronic monitoring system

    Directory of Open Access Journals (Sweden)

    Denise Whitelock

    2003-12-01

    Full Text Available Virtual Learning Environments provide the possibility of offering additional support to tutors, monitors and students in writing and grading essays and reports. They enable monitors to focus on the assignments that need most attention. This paper reports the findings from phase one of a feasibility study to assist the monitoring of student essays. It analyses tutor comments from electronically marked assignments and investigates how they match the mark awarded to each essay by the tutor. This involved carrying out a category analysis of the tutors' feedback to the students using Bales's 'interactional categories' as a theoretical basis. The advantage of this category system is that it distinguishes between task-orientated contributions, and the 'socio-emotive' element used by tutors to maintain student motivation. This reveals both how the tutor makes recommendations to improve the assignment content, and how they provide emotional support to students. Bales's analysis was presented to a group of tutors who felt an electronic feedback system based on this model would help them to get the right balance of responses to their students. These findings provide a modest start to designing a model of feedback for tutors of distance education students. Future work will entail refining these categories and testing this model with a larger sample from a different subject domain.

  15. 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

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

    OpenAIRE

    Marshall, Phil

    2015-01-01

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

  17. Intelligent Model Management in a Forest Ecosystem Management Decision Support System

    Science.gov (United States)

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

    2002-01-01

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

  18. A Conversation Model Enabling Intelligent Agents to Give Emotional Support

    NARCIS (Netherlands)

    Van der Zwaan, J.M.; Dignum, V.; Jonker, C.M.

    2012-01-01

    In everyday life, people frequently talk to others to help them deal with negative emotions. To some extent, everybody is capable of comforting other people, but so far conversational agents are unable to deal with this type of situation. To provide intelligent agents with the capability to give emo

  19. A Conversation Model Enabling Intelligent Agents to Give Emotional Support

    NARCIS (Netherlands)

    Van der Zwaan, J.M.; Dignum, V.; Jonker, C.M.

    2012-01-01

    In everyday life, people frequently talk to others to help them deal with negative emotions. To some extent, everybody is capable of comforting other people, but so far conversational agents are unable to deal with this type of situation. To provide intelligent agents with the capability to give emo

  20. Emotional Intelligence Competencies and the Army Leadership Requirements Model

    Science.gov (United States)

    2015-06-12

    cultural stereotype in the military that suggests the display of emotions is less than desirable, however the ability for military leaders to regulate...2004) found that older participants rated higher in emotional intelligence competencies than younger participants. Additionally, women scored...behaviors, and actions make sound ethical decisions, avoid stereotypes , refrain from verbally lashing out, and never compromise their values. An

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

    Science.gov (United States)

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

    2006-01-01

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

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

    Science.gov (United States)

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

    2006-01-01

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

  3. Joining the Conversation: Scaffolding and Tutoring Mathematics

    Science.gov (United States)

    Valkenburg, Jim

    2010-01-01

    Tutoring is one of those skills which require the ability to communicate an in-depth understanding of the subject. This article is about scaffolding while tutoring, and the tutoring talents described can be applied across the curriculum. Lev Vygotsky's ideas about communication and education play a key role in the development of scaffolding…

  4. Investigating Language Tutor Social Inclusion Identities

    Science.gov (United States)

    Barkhuizen, Gary

    2017-01-01

    This article explores the identities of tutors working in one-to-one instructional arrangements, which entail a tutor and an adult English learner working together to meet the particular language learning needs and goals of the learner. The tutors in this study are matched with their partners through an organization in New Zealand which aims to…

  5. Multimedia Tutors for Science and Engineering.

    Science.gov (United States)

    Woolf, Beverly Park; Poli, Corrado; Grosse, Ian; Day, Roberta

    We have built several multimedia tutors for science and engineering education. This paper discusses Design for Manufacturing tutors and an electronic homework systems used by over 2000 students daily. The engineering tutors instruct students on efficient procedures for designing parts for manufacture. The goal is to support a deeper understanding…

  6. Investigating Language Tutor Social Inclusion Identities

    Science.gov (United States)

    Barkhuizen, Gary

    2017-01-01

    This article explores the identities of tutors working in one-to-one instructional arrangements, which entail a tutor and an adult English learner working together to meet the particular language learning needs and goals of the learner. The tutors in this study are matched with their partners through an organization in New Zealand which aims to…

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

    Science.gov (United States)

    Geng, Yuan

    2016-11-03

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

  8. Teaching styles of tutors in a problem-based curriculum: students' and tutors' perception.

    Science.gov (United States)

    Kassab, Salah; Al-Shboul, Qasim; Abu-Hijleh, Marwan; Hamdy, Hossam

    2006-08-01

    This study compared the self-rated with student-rated teaching styles of PBL tutors. We also examined the relationship between teaching styles of tutors' and students' evaluation of tutor effectiveness in tutorials. The study included 48 tutors and 276 medical students. Tutors, and students' were given a teaching style inventory with a 5-point scale consisting of 21 items that comprise four domains of teaching styles (facilitative, collaborative, suggestive and assertive). In addition, quantitative and qualitative evaluations of tutor effectiveness by students were analyzed. Tutors perceived themselves in the facilitative-collaborative end of the spectrum of styles In contrast, students perceived tutors as less 'facilitative-collaborative' and more 'suggestive-assertive' than tutors self-ratings (p teaching styles. However, other tutor attributes such as establishing rapport with students, providing academic help for them and having content expertise were considered important criteria of an effective tutor. We conclude that there is a mismatch between students' and tutors' perceptions about teaching styles of tutor. Tutor attributes other than teaching styles are important determinants of an effective tutor.

  9. Intelligent multiagent coordination based on reinforcement hierarchical neuro-fuzzy models.

    Science.gov (United States)

    Mendoza, Leonardo Forero; Vellasco, Marley; Figueiredo, Karla

    2014-12-01

    This paper presents the research and development of two hybrid neuro-fuzzy models for the hierarchical coordination of multiple intelligent agents. The main objective of the models is to have multiple agents interact intelligently with each other in complex systems. We developed two new models of coordination for intelligent multiagent systems, which integrates the Reinforcement Learning Hierarchical Neuro-Fuzzy model with two proposed coordination mechanisms: the MultiAgent Reinforcement Learning Hierarchical Neuro-Fuzzy with a market-driven coordination mechanism (MA-RL-HNFP-MD) and the MultiAgent Reinforcement Learning Hierarchical Neuro-Fuzzy with graph coordination (MA-RL-HNFP-CG). In order to evaluate the proposed models and verify the contribution of the proposed coordination mechanisms, two multiagent benchmark applications were developed: the pursuit game and the robot soccer simulation. The results obtained demonstrated that the proposed coordination mechanisms greatly improve the performance of the multiagent system when compared with other strategies.

  10. LINEAR LAYER AND GENERALIZED REGRESSION COMPUTATIONAL INTELLIGENCE MODELS FOR PREDICTING SHELF LIFE OF PROCESSED CHEESE

    Directory of Open Access Journals (Sweden)

    S. Goyal

    2012-03-01

    Full Text Available This paper highlights the significance of computational intelligence models for predicting shelf life of processed cheese stored at 7-8 g.C. Linear Layer and Generalized Regression models were developed with input parameters: Soluble nitrogen, pH, Standard plate count, Yeast & mould count, Spores, and sensory score as output parameter. Mean Square Error, Root Mean Square Error, Coefficient of Determination and Nash - Sutcliffo Coefficient were used in order to compare the prediction ability of the models. The study revealed that Generalized Regression computational intelligence models are quite effective in predicting the shelf life of processed cheese stored at 7-8 g.C.

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

    DEFF Research Database (Denmark)

    Zhang, Muzhi

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

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

    Directory of Open Access Journals (Sweden)

    Zdravko Bazdan

    2010-12-01

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

  13. Online tutoring procedure for research project supervision: management, organization and key elements

    Directory of Open Access Journals (Sweden)

    Antònia Darder Mesquida

    2015-07-01

    Full Text Available Research project tutoring appears as a crucial element for teaching; it is a planned action based on the relationship between a tutor and a student. This paper presents the findings of a design and development research which has as its main aim to create an organization system for the tutoring of online research projects. That system seeks to facilitate the tutoring and supervision task with trainee researchers, providing guidance for its management and instruments for its implementation. The main conclusions arising from this research derive from considering the need to offer a solution to the problem of distance research project supervision and has materialized in organization and sequencing through a model about the variables that influence the research project tutoring problem.

  14. Managerial perceptions of mentor, lecturer practitioner and link tutor roles.

    Science.gov (United States)

    Carnwell, Ros; Baker, Sally-Ann; Bellis, Mike; Murray, Ruth

    2007-11-01

    Educating pre-registration nurses in clinical practice is a global issue. Within different countries problems exist in educating and supervising students in clinical practice and various models of clinical education are employed. In Wales, United Kingdom, this responsibility is divided between mentors, lecturer practitioners and link tutors. This paper reports on the third phase of a three-phase study in Wales to explore differences between mentors, lecturer practitioners and link tutors, and how they work together to assist students to integrate theory and practice. Four focus group interviews of National Health Service managers and Higher Education managers (n=22) were conducted. Qualitative content analysis revealed four themes: role characteristics and competencies, role differences, role conflict, and future options. The findings suggest a theory-practice continuum along which mentors, lecturer practitioners and link tutors occupy different positions. The article explores these different positions and offers suggestions for future role development.

  15. Enhancing Astronomy Education Through Cross-Age Student Tutoring

    Science.gov (United States)

    Grundstrom, Erika; Taylor, R. S.

    2009-01-01

    Vast distances, such as those that pervade astronomy, are difficult concepts to grasp. We are all a part of the Earth-Moon system, however most people do not comprehend the sizes and distances involved. In a pilot study, the authors found that an intervention using both discussion and kinesthetic modeling resulted in students of all ages (children up through adults) acquiring a more accurate mental representation of the Earth-Moon system. We have extended this research and are currently conducting a new study in which undergraduate students serve as "tutors" in a public observatory setting. One of our conjectures is that tutors' mental representations of the Earth-Moon system will be enhanced through their active participation in the cross-age peer tutoring activity. This work is supported in part by grants from the Center for the Integration of Research, Teaching, and Learning (CIRTL), the Vanderbilt University Learning Sciences Institute, and NSF Career grant AST-0349075.

  16. An Evolutionary Model of Bounded Rationality and Intelligence

    OpenAIRE

    Brennan, Thomas J.; Lo, Andrew W.

    2012-01-01

    BACKGROUND: Most economic theories are based on the premise that individuals maximize their own self-interest and correctly incorporate the structure of their environment into all decisions, thanks to human intelligence. The influence of this paradigm goes far beyond academia-it underlies current macroeconomic and monetary policies, and is also an integral part of existing financial regulations. However, there is mounting empirical and experimental evidence, including the recent financial cri...

  17. Industry Cluster's Adaptive Co-competition Behavior Modeling Inspired by Swarm Intelligence

    Science.gov (United States)

    Xiang, Wei; Ye, Feifan

    Adaptation helps the individual enterprise to adjust its behavior to uncertainties in environment and hence determines a healthy growth of both the individuals and the whole industry cluster as well. This paper is focused on the study on co-competition adaptation behavior of industry cluster, which is inspired by swarm intelligence mechanisms. By referencing to ant cooperative transportation and ant foraging behavior and their related swarm intelligence approaches, the cooperative adaptation and competitive adaptation behavior are studied and relevant models are proposed. Those adaptive co-competition behaviors model can be integrated to the multi-agent system of industry cluster to make the industry cluster model more realistic.

  18. An Intelligent Response Surface Methodology for Modeling of Domain Level Constraints

    Institute of Scientific and Technical Information of China (English)

    2006-01-01

    An effective modeling method of domain level constraints in the constraint network for concurrent engineering (CE) was developed. The domain level constraints were analyzed and the framework of modeling of domain level constraints based on simulation and approximate technology was given. An intelligent response surface methodology (IRSM) was proposed, in which artificial intelligence technologies are introduced into the optimization process. The design of crank and connecting rod in the V6 engine as example was given to show the validity of the modeling method.

  19. Learning Through Tutoring: Low-Achieving Childern as Tutors.

    Science.gov (United States)

    Allen, Vernon L.; Feldman, Robert S.

    Low-achieving fifth-grade children either taught a third grader or studied alone for a series of daily sessions. At the end of the two-week period, the low-achievers' performance was significantly better in the tutoring condition than in the studying condition. This showed a reversal in the direction from the initial difference between conditions.…

  20. Interactive Video and Artificial Intelligence: A Convenient Marriage.

    Science.gov (United States)

    Midoro, V.; And Others

    1988-01-01

    Describes the theoretical framework of a research project aimed at exploring the new potentials for instructional systems offered by videodisc technology and artificial intelligence. A prototype of an intelligent tutoring system, "Earth," is described, and types of interactions in instructional systems are discussed as they relate to the learning…

  1. Joint intelligence operations centers (JIOC) business process model & capabilities evaluation methodology

    OpenAIRE

    Schacher, Gordon; Irvine, Nelson; Hoyt, Roger

    2012-01-01

    A JIOC Business Process Model has been developed for use in evaluating JIOC capabilities. The model is described and depicted through OV5 and organization swim-lane diagrams. Individual intelligence activities diagrams are included. A JIOC evaluation methodology is described.

  2. Effective Stress Management: A Model of Emotional Intelligence, Self-Leadership, and Student Stress Coping

    Science.gov (United States)

    Houghton, Jeffery D.; Wu, Jinpei; Godwin, Jeffrey L.; Neck, Christopher P.; Manz, Charles C.

    2012-01-01

    This article develops and presents a model of the relationships among emotional intelligence, self-leadership, and stress coping among management students. In short, the authors' model suggests that effective emotion regulation and self-leadership, as mediated through positive affect and self-efficacy, has the potential to facilitate stress coping…

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

    Science.gov (United States)

    Dimitrova, Vania; Brna, Paul

    2016-01-01

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

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

    DEFF Research Database (Denmark)

    Zhang, Muzhi

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

  5. Effective Stress Management: A Model of Emotional Intelligence, Self-Leadership, and Student Stress Coping

    Science.gov (United States)

    Houghton, Jeffery D.; Wu, Jinpei; Godwin, Jeffrey L.; Neck, Christopher P.; Manz, Charles C.

    2012-01-01

    This article develops and presents a model of the relationships among emotional intelligence, self-leadership, and stress coping among management students. In short, the authors' model suggests that effective emotion regulation and self-leadership, as mediated through positive affect and self-efficacy, has the potential to facilitate stress coping…

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

    Science.gov (United States)

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

    1999-09-01

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

  7. A Multi-Scale Energy Demand Model suggests sharing Market Risks with Intelligent Energy Cooperatives

    NARCIS (Netherlands)

    Methenitis, G.; Kaisers, M.; La Poutré, J.A.

    2015-01-01

    In this paper, we propose a multi-scale model of energy demand that is consistent with observations at a macro scale, in our use-case standard load profiles for (residential) electric loads. We employ the model to study incentives to assume the risk of volatile market prices for intelligent energy c

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

    Science.gov (United States)

    Stiffler, A. Kent

    1989-01-01

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

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

    Science.gov (United States)

    Christopher, Timothy Van

    2011-01-01

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

  10. Intelligence: Real or artificial?

    OpenAIRE

    Schlinger, Henry D

    1992-01-01

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

  11. Application of an extended equalization-cancellation model to speech intelligibility with spatially distributed maskers.

    Science.gov (United States)

    Wan, Rui; Durlach, Nathaniel I; Colburn, H Steven

    2010-12-01

    An extended version of the equalization-cancellation (EC) model of binaural processing is described and applied to speech intelligibility tasks in the presence of multiple maskers. The model incorporates time-varying jitters, both in time and amplitude, and implements the equalization and cancellation operations in each frequency band independently. The model is consistent with the original EC model in predicting tone-detection performance for a large set of configurations. When the model is applied to speech, the speech intelligibility index is used to predict speech intelligibility performance in a variety of conditions. Specific conditions addressed include different types of maskers, different numbers of maskers, and different spatial locations of maskers. Model predictions are compared with empirical measurements reported by Hawley et al. [J. Acoust. Soc. Am. 115, 833-843 (2004)] and by Marrone et al. [J. Acoust. Soc. Am. 124, 1146-1158 (2008)]. The model succeeds in predicting speech intelligibility performance when maskers are speech-shaped noise or broadband-modulated speech-shaped noise but fails when the maskers are speech or reversed speech.

  12. Traffic Route Modelling and Assignment with Intelligent Transport System

    Directory of Open Access Journals (Sweden)

    Kunicina Nadezhda

    2014-12-01

    Full Text Available The development of signal transmitting environment for multimodal traffic control will enhance the integration of emergency and specialized transport routing tools in usual traffic control paradigms - it is one of the opportunities offered by modern intelligent traffic control systems. The improvement of effective electric power use in public transport system is an advantage of Intelligent Transport System (ITS. The research is connected with the improvement of on-line traffic control and adaptation of special traffic lighting alternatives by ITS. The assignment of the nearest appropriate transport will be done by passenger request, but unlike information system, the transport planning is done on demand. The task can be solved with the help of modern technical methods and equipment, as well as by applying control paradigms of the distributed systems. The problem is solved with the help of calculations hyper-graph and scheduling theory. The goal of the research is to develop methods, which support scheduling of the emergency transport, using high performance computing.

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

    DEFF Research Database (Denmark)

    Saleem, Arshad

    2007-01-01

    The purpose of this paper is to present a Multilevel Flow Model (MFM) of an industrial heat pump system and its use for diagnostic reasoning. MFM is functional modeling language supporting an explicit means-ends intelligent control strategy for large industrial process plants. The model is used...

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

    DEFF Research Database (Denmark)

    Saleem, Arshad

    2007-01-01

    The purpose of this paper is to present a Multilevel Flow Model (MFM) of an industrial heat pump system and its use for diagnostic reasoning. MFM is functional modeling language supporting an explicit means-ends intelligent control strategy for large industrial process plants. The model is used...

  15. Fractional snow cover mapping from MODIS data using wavelet-artificial intelligence hybrid models

    Science.gov (United States)

    Moosavi, Vahid; Malekinezhad, Hossein; Shirmohammadi, Bagher

    2014-04-01

    This study was carried out to evaluate the wavelet-artificial intelligence hybrid models to produce fractional snow cover maps. At first, cloud cover was removed from MODIS data and cloud free images were produced. SVM-based binary classified ETM+ imagery were then used as reference maps in order to obtain train and test data for sub-pixel classification models. ANN and ANFIS-based modeling were performed using raw data (without wavelet-based preprocessing). In the next step, several mother wavelets and levels were used in order to decompose the original data to obtain wavelet coefficients. Then, the decomposed data were used for further modeling processes. ANN, ANFIS, wavelet-ANN and wavelet-ANFIS models were compared to evaluate the effect of wavelet transformation on the ability of artificial intelligence models. It was demonstrated that wavelet transformation as a preprocessing approach can significantly enhance the performance of ANN and ANFIS models. This study indicated an overall accuracy of 92.45% for wavelet-ANFIS model, 86.13% for wavelet-ANN, 72.23% for ANFIS model and 66.78% for ANN model. In fact, hybrid wavelet-artificial intelligence models can extract the characteristics of the original signals (i.e. model inputs) accurately through decomposing the non-stationary and complex signals into several stationary and simpler signals. The positive effect of fuzzification as well as wavelet transformation in the wavelet-ANFIS model was also confirmed.

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

    Directory of Open Access Journals (Sweden)

    Gang Ma

    2015-01-01

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

  17. Comparing Models of Intelligence in Project TALENT: The VPR Model Fits Better than the CHC and Extended Gf-Gc Models

    Science.gov (United States)

    Major, Jason T.; Johnson, Wendy; Deary, Ian J.

    2012-01-01

    Three prominent theories of intelligence, the Cattell-Horn-Carroll (CHC), extended fluid-crystallized (Gf-Gc) and verbal-perceptual-image rotation (VPR) theories, provide differing descriptions of the structure of intelligence (McGrew, 2009; Horn & Blankson, 2005; Johnson & Bouchard, 2005b). To compare these theories, models representing them were…

  18. 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...

  19. Peer feedback on complex tasks by tutors trained in content knowledge or tutoring skills

    NARCIS (Netherlands)

    Hsiao, Amy; Brouns, Francis; Van Bruggen, Jan; Sloep, Peter

    2013-01-01

    Hsiao, Y. P., Brouns, F., Van Bruggen, J., & Sloep, P. B. (2013, 7 November). Peer feedback on complex tasks by tutors trained in content knowledge or tutoring skills. Presentation at ICO Fall School, The Maastricht University, Maastricht, The Netherlands.

  20. Peer feedback on complex tasks by tutors trained in content knowledge or tutoring skills

    NARCIS (Netherlands)

    Hsiao, Amy; Brouns, Francis; Van Bruggen, Jan; Sloep, Peter

    2013-01-01

    Hsiao, Y. P., Brouns, F., Van Bruggen, J., & Sloep, P. B. (2013, 7 November). Peer feedback on complex tasks by tutors trained in content knowledge or tutoring skills. Presentation at ICO Fall School, The Maastricht University, Maastricht, The Netherlands.

  1. Business intelligence tools for radiology: creating a prototype model using open-source tools.

    Science.gov (United States)

    Prevedello, Luciano M; Andriole, Katherine P; Hanson, Richard; Kelly, Pauline; Khorasani, Ramin

    2010-04-01

    Digital radiology departments could benefit from the ability to integrate and visualize data (e.g. information reflecting complex workflow states) from all of their imaging and information management systems in one composite presentation view. Leveraging data warehousing tools developed in the business world may be one way to achieve this capability. In total, the concept of managing the information available in this data repository is known as Business Intelligence or BI. This paper describes the concepts used in Business Intelligence, their importance to modern Radiology, and the steps used in the creation of a prototype model of a data warehouse for BI using open-source tools.

  2. Enhacing CRM Business Intelligence Applications by Web User Experience Model

    Directory of Open Access Journals (Sweden)

    Natheer K. Gharaibeh

    2015-07-01

    Full Text Available several trends are emerging in the field of CRM technology which promises a brighter future of more profitable customers and decreasing costs. One of the most critical trends is enhancing Business Intelligence applications using Web Technologies, Web technologies can improve the CRM BI implementation, but it still need evaluation, The Web has focused the attention of organizations towards the User Experience and the need to learn about their customer, The UX paradigm calls for enhancing CRMBI by Web technologies. This paper deals with this issue and provide a framework for building Web based CRMBI depending on the Process mapping between CRMBI and UX. It provides a conceptual overview of CRM and its relationship to the main disciplines BI, UX and Web.

  3. Modeling collective & intelligent decision making of multi-cellular populations.

    Science.gov (United States)

    Shin, Yong-Jun; Mahrou, Bahareh

    2014-01-01

    In the presence of unpredictable disturbances and uncertainties, cells intelligently achieve their goals by sharing information via cell-cell communication and making collective decisions, which are more reliable compared to individual decisions. Inspired by adaptive sensor network algorithms studied in communication engineering, we propose that a multi-cellular adaptive network can convert unreliable decisions by individual cells into a more reliable cell-population decision. It is demonstrated using the effector T helper (a type of immune cell) population, which plays a critical role in initiating immune reactions in response to invading foreign agents (e.g., viruses, bacteria, etc.). While each individual cell follows a simple adaptation rule, it is the combined coordination among multiple cells that leads to the manifestation of "self-organizing" decision making via cell-cell communication.

  4. The Relations between Implicit Intelligence Beliefs, Autonomous Academic Motivation, and School Persistence Intentions: A Mediation Model

    Science.gov (United States)

    Renaud-Dubé, Andréanne; Guay, Frédéric; Talbot, Denis; Taylor, Geneviève; Koestner, Richard

    2015-01-01

    This study attempts to test a model in which the relation between implicit theories of intelligence and students' school persistence intentions are mediated by intrinsic, identified, introjected, and external regulations. Six hundred and fifty students from a high school were surveyed. Contrary to expectations, results from ESEM analyses indicated…

  5. Intelligent wireless forensic model (IWFM) for moving devices between wireless networks

    CSIR Research Space (South Africa)

    Ngobeni, SJ

    2008-09-01

    Full Text Available for prosecution of the wireless perpetrators. The essence of this study is to develop an Intelligent Wireless Forensic Model (IWFM) for acquiring data for forensic purposes in the event that a device has moved from one wireless network to another...

  6. Teaching Mathematics with Intelligent Support in Natural Language. Tertiary Education Students Working with Parametrized Modelling Activities

    Science.gov (United States)

    Rojano, Teresa; García-Campos, Montserrat

    2017-01-01

    This article reports the outcomes of a study that seeks to investigate the role of feedback, by way of an intelligent support system in natural language, in parametrized modelling activities carried out by a group of tertiary education students. With such a system, it is possible to simultaneously display on a computer screen a dialogue window and…

  7. A New Lease of Life for Thomson's Bonds Model of Intelligence

    Science.gov (United States)

    Bartholomew, David J.; Deary, Ian J.; Lawn, Martin

    2009-01-01

    Modern factor analysis is the outgrowth of Spearman's original "2-factor" model of intelligence, according to which a mental test score is regarded as the sum of a general factor and a specific factor. As early as 1914, Godfrey Thomson realized that the data did not require this interpretation and he demonstrated this by proposing what became…

  8. The Relations between Implicit Intelligence Beliefs, Autonomous Academic Motivation, and School Persistence Intentions: A Mediation Model

    Science.gov (United States)

    Renaud-Dubé, Andréanne; Guay, Frédéric; Talbot, Denis; Taylor, Geneviève; Koestner, Richard

    2015-01-01

    This study attempts to test a model in which the relation between implicit theories of intelligence and students' school persistence intentions are mediated by intrinsic, identified, introjected, and external regulations. Six hundred and fifty students from a high school were surveyed. Contrary to expectations, results from ESEM analyses indicated…

  9. INTELLIGENT CAR STYLING TECHNIQUE AND SYSTEM BASED ON A NEW AERODYNAMIC-THEORETICAL MODEL

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    Car styling technique based on a new theoretical model of automotive aerodynamics is introduced, which is proved to be feasible and effective by wind tunnel tests. Development of a multi-module software system from this technique, including modules of knowledge processing, referential styling and ANN aesthetic evaluation etc, capable of assisting car styling works in an intelligent way, is also presented and discussed.

  10. Emotional Intelligence and Negative Feelings: A Gender Specific Moderated Mediation Model

    Science.gov (United States)

    Karakus, Mehmet

    2013-01-01

    This study aims to clarify the effect of emotional intelligence (EI) on negative feelings (stress, anxiety, burnout and depression) in a gender specific model. Four hundred and twenty-five primary school teachers (326 males, 99 females) completed the measures of EI, stress, anxiety, burnout and depression. The multi-group analysis was performed…

  11. Modeling speech intelligibility in quiet and noise in listeners with normal and impaired hearing

    NARCIS (Netherlands)

    K.S. Rhebergen; J. Lyzenga; W.A. Dreschler; J.M. Festen

    2010-01-01

    The speech intelligibility index (SII) is an often used calculation method for estimating the proportion of audible speech in noise. For speech reception thresholds (SRTs), measured in normally hearing listeners using various types of stationary noise, this model predicts a fairly constant speech pr

  12. Artificial intelligence and finite element modelling for monitoring flood defence structures

    NARCIS (Netherlands)

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

    2011-01-01

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

  13. The Bar-On model of emotional-social intelligence (ESI).

    Science.gov (United States)

    Bar-On, Reuven

    2006-01-01

    The present manuscript is an empirically based theoretical paper that presents, describes, and examines the Bar-On Model of Emotional-Social Intelligence (ESI) in deep. First, a description of the Emotional Quotient Inventory (the EQ-i), which has played an instrumental role in developing the model, is given. The EQ-i is a self-report measure of emotionally and socially intelligent behaviour. It has been translated into more than 30 languages, and data have been collected around the world. The impact of age, gender, and ethnicity on the Bar-On model is presented. A description of the model's construct and predictive validity is given. Finally, the author summarizes the key points, discusses the limitations of the model, and raises the ideas for developing a future model of ESI.

  14. A Peer Mentor Tutor Program in Physics

    Science.gov (United States)

    Nossal, S. M.; Jacob, A. T.; Buehlman, J. D.; Middlecamp, C. H.

    2001-05-01

    The Peer Mentor Tutor (PMT) program in the University of Wisconsin-Madison's Physics Department matches upper level undergraduate physics majors in small groups with students potentially at-risk for having academic trouble with their gateway introductory non-calculus physics course or for feeling isolated at the University. The program enhances students'learning and confidence by providing an emphasis on problem solving, a supportive environment for asking questions, and opportunities for acquiring missing math skills. The students assisted include, among others, returning adults, students of color,students with English as a second language, and students who have never taken physics in high school. The tutors acquire teaching and leadership experience with ongoing training throughout the year. The Physics PMT program is run in collaboration with a similar program in Chemistry. The peer model is also being applied to other science courses at the University of Wisconsin. We will describe the structure of the Physics PMT program and our current efforts to expand the program into a broader Physics Learning Center that may serve multiple purposes and courses.

  15. The Face of Private Tutoring in Russia: Evidence from Online Marketing by Private Tutors

    Science.gov (United States)

    Kozar, Olga

    2013-01-01

    Private tutoring is a common and worldwide phenomenon. However, there is a dearth of up-to-date research on private tutoring compared with that on institutional one-to-one teaching, which could be explained by challenges associated with data collection. This article proposes using publicly available online advertisements of private tutors as a…

  16. Intelligent sensor-model automated control of PMR-15 autoclave processing

    Science.gov (United States)

    Hart, S.; Kranbuehl, D.; Loos, A.; Hinds, B.; Koury, J.

    1992-01-01

    An intelligent sensor model system has been built and used for automated control of the PMR-15 cure process in the autoclave. The system uses frequency-dependent FM sensing (FDEMS), the Loos processing model, and the Air Force QPAL intelligent software shell. The Loos model is used to predict and optimize the cure process including the time-temperature dependence of the extent of reaction, flow, and part consolidation. The FDEMS sensing system in turn monitors, in situ, the removal of solvent, changes in the viscosity, reaction advancement and cure completion in the mold continuously throughout the processing cycle. The sensor information is compared with the optimum processing conditions from the model. The QPAL composite cure control system allows comparison of the sensor monitoring with the model predictions to be broken down into a series of discrete steps and provides a language for making decisions on what to do next regarding time-temperature and pressure.

  17. Intelligent sensor-model automated control of PMR-15 autoclave processing

    Science.gov (United States)

    Hart, S.; Kranbuehl, D.; Loos, A.; Hinds, B.; Koury, J.

    1992-01-01

    An intelligent sensor model system has been built and used for automated control of the PMR-15 cure process in the autoclave. The system uses frequency-dependent FM sensing (FDEMS), the Loos processing model, and the Air Force QPAL intelligent software shell. The Loos model is used to predict and optimize the cure process including the time-temperature dependence of the extent of reaction, flow, and part consolidation. The FDEMS sensing system in turn monitors, in situ, the removal of solvent, changes in the viscosity, reaction advancement and cure completion in the mold continuously throughout the processing cycle. The sensor information is compared with the optimum processing conditions from the model. The QPAL composite cure control system allows comparison of the sensor monitoring with the model predictions to be broken down into a series of discrete steps and provides a language for making decisions on what to do next regarding time-temperature and pressure.

  18. Comparing the Construct and Criterion-Related Validity of Ability-Based and Mixed-Model Measures of Emotional Intelligence

    Science.gov (United States)

    Livingstone, Holly A.; Day, Arla L.

    2005-01-01

    Despite the popularity of the concept of emotional intelligence(EI), there is much controversy around its definition, measurement, and validity. Therefore, the authors examined the construct and criterion-related validity of an ability-based EI measure (Mayer Salovey Caruso Emotional Intelligence Test [MSCEIT]) and a mixed-model EI measure…

  19. Consumers as tutors – legitimate teachers?

    Directory of Open Access Journals (Sweden)

    Owen Cathy

    2004-09-01

    Full Text Available Abstract Background The aim of this study was to research the feasibility of training mental health consumers as tutors for 4th year medical students in psychiatry. Methods A partnership between a consumer network and an academic unit in Psychological Medicine was formed to jointly develop a training package for consumer tutors and a curriculum in interviewing skills for medical students. Student attitudes to mental health consumers were measured pre and post the program. All tutorial evaluation data was analysed using univariate statistics. Both tutors and students evaluated the teaching program using a 4 point rating scale. The mean scores for teaching and content for both students and tutors were compared using an independent samples t-test. Results Consumer tutors were successfully trained and accredited as tutors and able to sustain delivery of tutorials over a 4 year period. The study found that whilst the medical students started with positive attitudes towards consumers prior to the program, there was a general trend towards improved attitude across all measures. Other outcomes for tutors and students (both positive and negative are described. Conclusions Consumer tutors along with professional tutors have a place in the education of medical students, are an untapped resource and deliver largely positive outcomes for students and themselves. Further possible developments are described.

  20. An Intelligent Ensemble Neural Network Model for Wind Speed Prediction in Renewable Energy Systems.

    Science.gov (United States)

    Ranganayaki, V; Deepa, S N

    2016-01-01

    Various criteria are proposed to select the number of hidden neurons in artificial neural network (ANN) models and based on the criterion evolved an intelligent ensemble neural network model is proposed to predict wind speed in renewable energy applications. The intelligent ensemble neural model based wind speed forecasting is designed by averaging the forecasted values from multiple neural network models which includes multilayer perceptron (MLP), multilayer adaptive linear neuron (Madaline), back propagation neural network (BPN), and probabilistic neural network (PNN) so as to obtain better accuracy in wind speed prediction with minimum error. The random selection of hidden neurons numbers in artificial neural network results in overfitting or underfitting problem. This paper aims to avoid the occurrence of overfitting and underfitting problems. The selection of number of hidden neurons is done in this paper employing 102 criteria; these evolved criteria are verified by the computed various error values. The proposed criteria for fixing hidden neurons are validated employing the convergence theorem. The proposed intelligent ensemble neural model is applied for wind speed prediction application considering the real time wind data collected from the nearby locations. The obtained simulation results substantiate that the proposed ensemble model reduces the error value to minimum and enhances the accuracy. The computed results prove the effectiveness of the proposed ensemble neural network (ENN) model with respect to the considered error factors in comparison with that of the earlier models available in the literature.

  1. Hammerstein Model Based RLS Algorithm for Modeling the Intelligent Pneumatic Actuator (IPA System

    Directory of Open Access Journals (Sweden)

    Siti Fatimah Sulaiman

    2017-08-01

    Full Text Available An Intelligent Pneumatic Actuator (IPA system is considered highly nonlinear and subject to nonlinearities which make the precise position control of this actuator is difficult to achieve. Thus, it is appropriate to model the system using nonlinear approach because the linear model sometimes not sufficient enough to represent the nonlinearity of the system in the real process. This study presents a new modeling of an IPA system using Hammerstein model based Recursive Least Square (RLS algorithm. The Hammerstein model is one of the blocks structured nonlinear models often used to model a nonlinear system and it consists of a static nonlinear block followed by a linear block of dynamic element. In this study, the static nonlinear block was represented by a deadzone of the pneumatic valve, while the linear block was represented by a dynamic element of IPA system. A RLS has been employed as the main algorithm in order to estimate the parameters of the Hammerstein model. The validity of the proposed model has been verified by conducting a real-time experiment. All of the criteria as outlined in the system identification’s procedures were successfully complied by the proposed Hammerstein model as it managed to provide a stable system, higher best fit, lower loss function and lower final prediction error than a linear model developed before. The performance of the proposed Hammerstein model in controlling the IPA’s positioning system is also considered good. Thus, this new developed Hammerstein model is sufficient enough to represents the IPA system utilized in this study.

  2. Enhanced Intelligent Driver Model to Access the Impact of Driving Strategies on Traffic Capacity

    CERN Document Server

    Kesting, Arne; Helbing, Dirk

    2009-01-01

    With an increasing number of vehicles equipped with adaptive cruise control (ACC), the impact of such vehicles on the collective dynamics of traffic flow becomes relevant. By means of simulation, we investigate the influence of variable percentages of ACC vehicles on traffic flow characteristics. For simulating the ACC vehicles, we propose a new car-following model that also serves as basis of an ACC implementation in real cars. The model is based on the Intelligent Driver Model [Treiber et al., Physical Review E 62, 1805 (2000)] and inherits its intuitive behavioural parameters: desired velocity, acceleration, comfortable deceleration, and desired minimum time headway. It eliminates, however, the sometimes unrealistic behaviour of the Intelligent Driver Model in cut-in situations with ensuing small gaps that regularly are caused by lane changes of other vehicles in dense or congested traffic. We simulate the influence of different ACC strategies on the maximum capacity before breakdown, and the (dynamic) bot...

  3. Multi-objective intelligent coordinating optimization blending system based on qualitative and quantitative synthetic model

    Institute of Scientific and Technical Information of China (English)

    WANG Ya-lin; MA Jie; GUI Wei-hua; YANG Chun-hua; ZHANG Chuan-fu

    2006-01-01

    A multi-objective intelligent coordinating optimization strategy based on qualitative and quantitative synthetic model for Pb-Zn sintering blending process was proposed to obtain optimal mixture ratio. The mechanism and neural network quantitative models for predicting compositions and rule models for expert reasoning were constructed based on statistical data and empirical knowledge. An expert reasoning method based on these models were proposed to solve blending optimization problem, including multi-objective optimization for the first blending process and area optimization for the second blending process, and to determine optimal mixture ratio which will meet the requirement of intelligent coordination. The results show that the qualified rates of agglomerate Pb, Zn and S compositions are increased by 7.1%, 6.5% and 6.9%, respectively, and the fluctuation of sintering permeability is reduced by 7.0 %, which effectively stabilizes the agglomerate compositions and the permeability.

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

    Science.gov (United States)

    2016-11-28

    Title: Hidden Hearing Loss and Computational Models of the Auditory Pathway: Predicting Speech Intelligibility Decline Christopher J. Smalt...to utilize computational models of the auditory periphery and auditory cortex to study the effect of low spontaneous rate ANF loss on the cortical...clinical hearing thresholds is difficulty in understanding speech in noise. Recent animal studies have shown that noise exposure causes selective loss

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

    Directory of Open Access Journals (Sweden)

    Jing Mi

    2016-09-01

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

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

    Science.gov (United States)

    Mi, Jing; Colburn, H Steven

    2016-10-03

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

  7. A framework for structural modelling of an RFID-enabled intelligent distributed manufacturing control system

    Directory of Open Access Journals (Sweden)

    Barenji, Ali Vatankhah

    2014-08-01

    Full Text Available A modern manufacturing facility typically contains several distributed control systems, such as machining stations, assembly stations, and material handling and storage systems. Integrating Radio Frequency Identification (RFID technology into these control systems provides a basis for monitoring and configuring their components in real-time. With the right structural modelling, it is then possible to evaluate designs and translate them into new operational applications almost immediately. This paper proposes an architecture for the structural modelling of an intelligent distributed control system for a manufacturing facility, by utilising RFID technology. Emphasis is placed on a requirements analysis of the manufacturing system, the design of RFID-enabled intelligent distributed control systems using Unified Modelling Language (UML diagrams, and the use of efficient algorithms and tools for the implementation of these systems.

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

    CERN Document Server

    Marwala, Tshilidzi

    2010-01-01

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

  9. Modeling speech intelligibility based on the signal-to-noise envelope power ratio

    DEFF Research Database (Denmark)

    Jørgensen, Søren

    through three commercially available mobile phones. The model successfully accounts for the performance across the phones in conditions with a stationary speech-shaped background noise, whereas deviations were observed in conditions with “Traffic” and “Pub” noise. Overall, the results of this thesis......The intelligibility of speech depends on factors related to the auditory processes involved in sound perception as well as on the acoustic properties of the sound entering the ear. However, a clear understanding of speech perception in complex acoustic conditions and, in particular, a quantitative...... description of the involved auditory processes provides a major challenge in speech and hearing research. This thesis presents a computational model that attempts to predict the speech intelligibility obtained by normal-hearing listeners in various adverse conditions. The model combines the concept...

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

    Science.gov (United States)

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

    2013-07-01

    The speech-based envelope power spectrum model (sEPSM) presented by Jørgensen and Dau [(2011). J. Acoust. Soc. Am. 130, 1475-1487] estimates the envelope power signal-to-noise ratio (SNRenv) after modulation-frequency selective processing. Changes in this metric were shown to account well for changes of speech intelligibility for normal-hearing listeners in conditions with additive stationary noise, reverberation, and nonlinear processing with spectral subtraction. In the latter condition, the standardized speech transmission index [(2003). IEC 60268-16] fails. However, the sEPSM is limited to conditions with stationary interferers, due to the long-term integration of the envelope power, and cannot account for increased intelligibility typically obtained with fluctuating maskers. Here, a multi-resolution version of the sEPSM is presented where the SNRenv is estimated in temporal segments with a modulation-filter dependent duration. The multi-resolution sEPSM is demonstrated to account for intelligibility obtained in conditions with stationary and fluctuating interferers, and noisy speech distorted by reverberation or spectral subtraction. The results support the hypothesis that the SNRenv is a powerful objective metric for speech intelligibility prediction.

  11. Intelligent control using multiple models based on on-line learning

    Institute of Scientific and Technical Information of China (English)

    Junyong ZHAI; Shumin FEI; Feipeng DA

    2006-01-01

    In this paper we deal with the problem of plants with large parameter variations under different operating modes. A novel intelligent control algorithm based on multiple models is proposed to improve the dynamical response performance. At the same time adaptive model bank is applied to establish models without prior system information.Multiple models and corresponding controllers are automatically established on-line by a conventionally adaptive model and a re-initialized one. A best controller is chosen by the performance function at every instant. The closed-loop system's stability and asymptotical convergence of tracking error can be guaranteed. Simulation results have confirmed the validity of the proposed method.

  12. Leader emotional intelligence, transformational leadership, trust and team commitment: Testing a model within a team context

    Directory of Open Access Journals (Sweden)

    Anton F. Schlechter

    2008-09-01

    Full Text Available This exploratory study tested a model within a team context consisting of transformational-leadership behaviour, team-leader emotional intelligence, trust (both in the team leader and in the team members and team commitment. It was conducted within six manufacturing plants, with 25 teams participating. Of the 320 surveys distributed to these teams, 178 were received (which equals a 56% response rate. The surveys consisted of the multi-factor leadership questionnaire (MLQ, the Swinburne University emotional intelligence test (SUEIT, the organisational-commitment scale (OCS (adapted for team commitment and the workplace trust survey (WTS. The validity of these scales was established using exploratory factor analysis (EFA and confrmatory factor analysis (CFA. The Cronbach alpha was used to assess the reliability of the scales. The model was tested using structural equation modelling (SEM; an acceptable level of model ft was found. Signifcant positive relationships were further found among all the constructs. Such an integrated model has not been tested in a team context before and the positive fndings therefore add to existing teamwork literature. The fnding that transformational leadership and leader emotional intelligence are positively related to team commitment and trust further emphasises the importance of effective leadership behaviour in team dynamics and performance.

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

    Directory of Open Access Journals (Sweden)

    Jianzhou Wang

    2014-01-01

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

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

    Directory of Open Access Journals (Sweden)

    Masoumeh Erfani Khanghahi

    2013-08-01

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

  15. Operator function modeling: Cognitive task analysis, modeling and intelligent aiding in supervisory control systems

    Science.gov (United States)

    Mitchell, Christine M.

    1990-01-01

    The design, implementation, and empirical evaluation of task-analytic models and intelligent aids for operators in the control of complex dynamic systems, specifically aerospace systems, are studied. Three related activities are included: (1) the models of operator decision making in complex and predominantly automated space systems were used and developed; (2) the Operator Function Model (OFM) was used to represent operator activities; and (3) Operator Function Model Expert System (OFMspert), a stand-alone knowledge-based system was developed, that interacts with a human operator in a manner similar to a human assistant in the control of aerospace systems. OFMspert is an architecture for an operator's assistant that uses the OFM as its system and operator knowledge base and a blackboard paradigm of problem solving to dynamically generate expectations about upcoming operator activities and interpreting actual operator actions. An experiment validated the OFMspert's intent inferencing capability and showed that it inferred the intentions of operators in ways comparable to both a human expert and operators themselves. OFMspert was also augmented with control capabilities. An interface allowed the operator to interact with OFMspert, delegating as much or as little control responsibility as the operator chose. With its design based on the OFM, OFMspert's control capabilities were available at multiple levels of abstraction and allowed the operator a great deal of discretion over the amount and level of delegated control. An experiment showed that overall system performance was comparable for teams consisting of two human operators versus a human operator and OFMspert team.

  16. A Comparison of Peer and Tutor Feedback

    Science.gov (United States)

    Hamer, John; Purchase, Helen; Luxton-Reilly, Andrew; Denny, Paul

    2015-01-01

    We report on a study comparing peer feedback with feedback written by tutors on a large, undergraduate software engineering programming class. Feedback generated by peers is generally held to be of lower quality to feedback from experienced tutors, and this study sought to explore the extent and nature of this difference. We looked at how…

  17. Electronic Tutoring: Long Distance and Long Term.

    Science.gov (United States)

    Stephenson, Denise R.; Mayberry, Bob

    Electronic tutoring can be valuable for writers and should be offered in more university settings, not just in computer labs. Among its advantages is the speed with which commentary can be returned by e-mail. Other advantages were evident in a reciprocal tutoring relationship carried on by two academics in different states. They chose not to edit…

  18. Rules of engagement: developing the online tutor

    Directory of Open Access Journals (Sweden)

    Lucy Golden

    2012-08-01

    Full Text Available This paper considers professional development in a context that is familiar and problematic to teaching teams in tertiary education everywhere, that of delivering online programmes with an ever-decreasing complement of staff. The Teaching Qualification Further Education (TQFE teaching team at University of Dundee confronted the reality of reduced staff numbers by centralising tutoring and support for programme participants. The new system involves standardising tutoring as far as possible through generic email, blog and microblog accounts, all badged “TQFE-Tutor” and staffed on a roster basis. Once the new “rules of engagement” via TQFE-Tutor were in place, it became clear that in addition to benefits in terms of student support, there were other unintended positive consequences: opportunities for informal professional development for staff and the promotion of effective team working. The experience of collective tutoring has facilitated collaboration on a range of innovations within online learning. This paper describes the evolution of the TQFE-Tutor innovation and reports upon a small scale study which was carried out to gather the views of the tutor team working with TQFE-Tutor. The authors conclude that the centralisation of communication and tutoring on the TQFE programme has been highly beneficial in terms of professional development for the team.

  19. Concentrating on Affective Feedforward in Online Tutoring

    Science.gov (United States)

    Chen, Ya-Ting; Chou, Yung-Hsin; Cowan, John

    2014-01-01

    With considerable input from the student voice, the paper centres on a detailed account of the experiences of Western academic, tutoring Eastern students online to develop their critical thinking skills. From their online experiences together as tutor and students, the writers present a considered case for the main emphasis in facilitative online…

  20. SCAFFOLDING TUTORING STRATEGY ON VIRTUAL ENVIRONMENTS FOR TRAINING SCAFFOLDING COMO ESTRATEGIA DE TUTORIA EN ENTORNOS VIRTUALES DE ENTRENAMIENTO

    Directory of Open Access Journals (Sweden)

    Angélica de Antonio Jiménez

    2008-06-01

    Full Text Available Because the conversational capabilities of pedagogical agents (embodiments of trainers allow social interactions with learner(s, their application in 3D virtual environments for training, besides improving the interaction and giving more realism to virtual training, permits changes in tutoring strategies bringing closer the virtual experience to the real one. Scaffolding emerges from the work of some famous educators as an instructional paradigm and it is becoming more and more used in computer-based education. Of course, scaffolding application on virtual environments for trainings is very different from its original conception, and its application in a classroom. Virtual environments for training features, the pedagogical agent embodiment, and its possibilities of virtual interaction make possible the use of this strategy characterized by its adjustment to learner's performance and its dynamic use of work tools, among others. This article explores the advantages of using scaffolding on virtual environments for training as a tutoring strategy for pedagogical agents, focusing on the key features of scaffolding and how they can be applied in pedagogical activities. Activity Theory as well as roles and reusable learning objects design by contract are used to model our proposal. Finally, one procedure to apply scaffolding as a tutoring strategy for pedagogical agents in virtual environment for training designed using the "Model for Application of Intelligent Virtual Environments to Formation" is proposed.Las capacidades conversacionales de un agente pedagógico (la personificación del entrenador permiten una interacción social con los aprendices; luego, su aplicación en entornos virtuales 3D para el entrenamiento permite mejorar esta interacción y da mayor realismo al entrenamiento virtual, permitiendo cambios en las estrategias de tutorías que acercan la experiencia virtual a una real. Scaffolding emerge del trabajo de famosos educadores como

  1. Exploration of Training Model for Professional Postgraduates Majored in Clinical Pharmacy Based on Tutor Team%导师团队指导临床药学专业硕士研究生培养模式探索

    Institute of Scientific and Technical Information of China (English)

    罗莹; 焦杨; 冯娴婧; 王辉; 韦妍妍

    2016-01-01

    professional postgraduates majored in clinical pharmacy must master comprehensive application of many subjects such as pharmacy, basic and clinical knowledge.And clinical practice is very impor-tant.So tutor team training is a better model to achieve the training goal of professional degree.%临床药学专业硕士研究生的培养涉及药学、基础医学和临床医学等多个学科的知识,注重临床实践、多学科导师团队负责制的培养模式可以更好地实现专业学位的培养目标。

  2. Artificial Intelligence for Constructing Accurate, Low-Cost Models and

    Science.gov (United States)

    2005-01-01

    0.5 1 1.5 2 2.5 -12 -7 -2 3 8 13 AOA C l Equation Model Human Predicition Machine Learning Test Data Figure C-14 NACA 4421 Model Comparison...Natrajan, Anand, and Srinivasan, Sudhir, (1997) “Consistency Maintenance in Multiresolution Simulation”, ACM Transactions on Modeling and

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

    Directory of Open Access Journals (Sweden)

    Eric Aaron

    2016-11-01

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

  4. A methodology for the design of experiments in computational intelligence with multiple regression models.

    Science.gov (United States)

    Fernandez-Lozano, Carlos; Gestal, Marcos; Munteanu, Cristian R; Dorado, Julian; Pazos, Alejandro

    2016-01-01

    The design of experiments and the validation of the results achieved with them are vital in any research study. This paper focuses on the use of different Machine Learning approaches for regression tasks in the field of Computational Intelligence and especially on a correct comparison between the different results provided for different methods, as those techniques are complex systems that require further study to be fully understood. A methodology commonly accepted in Computational intelligence is implemented in an R package called RRegrs. This package includes ten simple and complex regression models to carry out predictive modeling using Machine Learning and well-known regression algorithms. The framework for experimental design presented herein is evaluated and validated against RRegrs. Our results are different for three out of five state-of-the-art simple datasets and it can be stated that the selection of the best model according to our proposal is statistically significant and relevant. It is of relevance to use a statistical approach to indicate whether the differences are statistically significant using this kind of algorithms. Furthermore, our results with three real complex datasets report different best models than with the previously published methodology. Our final goal is to provide a complete methodology for the use of different steps in order to compare the results obtained in Computational Intelligence problems, as well as from other fields, such as for bioinformatics, cheminformatics, etc., given that our proposal is open and modifiable.

  5. Modeling the effects of a single reflection on binaural speech intelligibility.

    Science.gov (United States)

    Rennies, Jan; Warzybok, Anna; Brand, Thomas; Kollmeier, Birger

    2014-03-01

    Recently the influence of delay and azimuth of a single speech reflection on speech reception thresholds (SRTs) was systematically investigated using frontal, diffuse, and lateral noise [Warzybok et al. (2013). J. Acoust. Soc. Am. 133, 269-282]. The experiments showed that the benefit of an early reflection was independent of its azimuth and mostly independent of noise type, but that the detrimental effect of a late reflection depended on its direction relative to the noise. This study tests if different extensions of a binaural speech intelligibility model can predict these data. The extensions differ in the order in which binaural processing and temporal integration of early reflections take place. Models employing a correction for the detrimental effects of reverberation on speech intelligibility after performing the binaural processing predict SRTs in symmetric masking conditions (frontal, diffuse), but cannot predict the measured interaction of temporal and spatial integration. In contrast, a model extension accounting for the distinction between useful and detrimental reflections before the binaural processing stage predicts the data with an overall R(2) of 0.95. This indicates that any model framework predicting speech intelligibility in rooms should incorporate an interaction between binaural and temporal integration of reflections at a comparatively early stage.

  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. A methodology for the design of experiments in computational intelligence with multiple regression models

    Directory of Open Access Journals (Sweden)

    Carlos Fernandez-Lozano

    2016-12-01

    Full Text Available The design of experiments and the validation of the results achieved with them are vital in any research study. This paper focuses on the use of different Machine Learning approaches for regression tasks in the field of Computational Intelligence and especially on a correct comparison between the different results provided for different methods, as those techniques are complex systems that require further study to be fully understood. A methodology commonly accepted in Computational intelligence is implemented in an R package called RRegrs. This package includes ten simple and complex regression models to carry out predictive modeling using Machine Learning and well-known regression algorithms. The framework for experimental design presented herein is evaluated and validated against RRegrs. Our results are different for three out of five state-of-the-art simple datasets and it can be stated that the selection of the best model according to our proposal is statistically significant and relevant. It is of relevance to use a statistical approach to indicate whether the differences are statistically significant using this kind of algorithms. Furthermore, our results with three real complex datasets report different best models than with the previously published methodology. Our final goal is to provide a complete methodology for the use of different steps in order to compare the results obtained in Computational Intelligence problems, as well as from other fields, such as for bioinformatics, cheminformatics, etc., given that our proposal is open and modifiable.

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

    Directory of Open Access Journals (Sweden)

    Hui Chen

    2014-01-01

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

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

    DEFF Research Database (Denmark)

    Gani, Rafiqul

    ICAS, Integrated Computer Aided System, is a software that consists of a number of intelligent tools, which are very suitable, among others, for computer aided modelling, sustainable design of chemical and biochemical processes, and design-analysis of product-process monitoring systems. Each...... of these tools are characterized by a framework that follows an established work-flow and data-flow, developed to guide the user through the many steps of the problem solution process. At each, the specific tool knows which data, model and/or algorithm to use. The tool also provides analysis of the calculated...... results so that the user can make intelligent decisions to proceed to the next step. The tools contain in-house databases, especially designed to work in an integrated manner with tool specific ontology for efficient knowledge management. Examples highlighting the use of the tools willl be given, where...

  10. A scaleable architecture for the modeling and simulation of intelligent transportation systems.

    Energy Technology Data Exchange (ETDEWEB)

    Ewing, T.; Tentner, A.

    1999-03-17

    A distributed, scaleable architecture for the modeling and simulation of Intelligent Transportation Systems on a network of workstations or a parallel computer has been developed at Argonne National Laboratory. The resulting capability provides a modular framework supporting plug-in models, hardware, and live data sources; visually realistic graphics displays to support training and human factors studies; and a set of basic ITS models. The models and capabilities are described, along with atypical scenario involving dynamic rerouting of smart vehicles which send probe reports to and receive traffic advisories from a traffic management center capable of incident detection.

  11. SmartWeld/SmartProcess - intelligent model based system for the design and validation of welding processes

    Energy Technology Data Exchange (ETDEWEB)

    Mitchner, J.

    1996-04-01

    Diagrams are presented on an intelligent model based system for the design and validation of welding processes. Key capabilities identified include `right the first time` manufacturing, continuous improvement, and on-line quality assurance.

  12. Effect of water depth on the performance of intelligent computing models in predicting wave transmission of floating pipe breakwater.

    Digital Repository Service at National Institute of Oceanography (India)

    Patil, S.G.; Mandal, S.; Hegde, A.V.

    Understanding the physics of complex system plays an important role in selection of data for training intelligent computing models. Based on the physics of the wave transmission of Horizontally Interlaced Multilayer Moored Floating Pipe Breakwater...

  13. Modeling and Simulation of a DG-Integrated Intelligent Microgrid

    Science.gov (United States)

    2010-02-01

    Power is produced by passing of ions formed at one end to the other end of electrodes . Mathematical and dynamic models of fuel cells were...showed fuel cell dynamics as well as its power generation. A mathematical model of PEM fuel cells was presented by [29], which also considered the...dynamic response of the fuel cells in terms of their transient and thermal properties. A mathematical model of PEM fuel cells, together with their

  14. Artificial intelligence techniques for modeling database user behavior

    Science.gov (United States)

    Tanner, Steve; Graves, Sara J.

    1990-01-01

    The design and development of the adaptive modeling system is described. This system models how a user accesses a relational database management system in order to improve its performance by discovering use access patterns. In the current system, these patterns are used to improve the user interface and may be used to speed data retrieval, support query optimization and support a more flexible data representation. The system models both syntactic and semantic information about the user's access and employs both procedural and rule-based logic to manipulate the model.

  15. Hybrid Computation Model for Intelligent System Design by Synergism of Modified EFC with Neural Network

    OpenAIRE

    2015-01-01

    In recent past, it has been seen in many applications that synergism of computational intelligence techniques outperforms over an individual technique. This paper proposes a new hybrid computation model which is a novel synergism of modified evolutionary fuzzy clustering with associated neural networks. It consists of two modules: fuzzy distribution and neural classifier. In first module, mean patterns are distributed into the number of clusters based on the modified evolutionary fuzzy cluste...

  16. Leader emotional intelligence, transformational leadership, trust and team commitment: Testing a model within a team context

    OpenAIRE

    Anton F. Schlechter; Jacoba J. Strauss

    2008-01-01

    This exploratory study tested a model within a team context consisting of transformational-leadership behaviour, team-leader emotional intelligence, trust (both in the team leader and in the team members) and team commitment. It was conducted within six manufacturing plants, with 25 teams participating. Of the 320 surveys distributed to these teams, 178 were received (which equals a 56% response rate). The surveys consisted of the multi-factor leadership questionnaire (MLQ), the Swinburne Uni...

  17. Funciones y perfil del tutor

    OpenAIRE

    Baptista, Maria da Nazare Mesquita Martins dos Santos; Universidade Lusofona de Lisboa

    2011-01-01

    Após uma curta introdução relativa ao conceito de educação – formação, são abordadas as características e as funções inerentes à figura do professor tutor. É igualmente salientada a importância que deve ser dada à formação dos professores para que a escola possa fornecer uma resposta eficaz aos desafios constantes impostos pela sociedade. This paper intends to explain...

  18. A Heat Dynamic Model for Intelligent Heating of Buildings

    DEFF Research Database (Denmark)

    Thavlov, Anders; Bindner, Henrik W.

    2015-01-01

    This article presents a heat dynamic model for prediction of the indoor temperature in an office building. The model has been used in several flexible load applications, where the indoor temperature is allowed to vary around a given reference to provide power system services by shifting the heati...

  19. Prediction of speech intelligibility based on an auditory preprocessing model

    DEFF Research Database (Denmark)

    Christiansen, Claus Forup Corlin; Pedersen, Michael Syskind; Dau, Torsten

    2010-01-01

    in noise experiment was used for training and an ideal binary mask experiment was used for evaluation. All three models were able to capture the trends in the speech in noise training data well, but the proposed model provides a better prediction of the binary mask test data, particularly when the binary...... masks degenerate to a noise vocoder....

  20. Modelling of Security Principles Within Car-to-Car Communications in Modern Cooperative Intelligent Transportation Systems

    Directory of Open Access Journals (Sweden)

    Jan Durech

    2016-01-01

    Full Text Available Intelligent transportation systems (ITS bring advanced applications that provide innovative services for various transportation modes in the area of traffic control, and enable better awareness for different users. Communication connections between intelligent vehicles with the use of wireless communication standards, so called Vehicular Ad Hoc Networks (VANETs, require ensuring verification of validity of provided services as well as services related to transmission confidentiality and integrity. The goal of this paper is to analyze secure mechanisms utilised in VANET communication within Cooperative Intelligent Transportation Systems (C-ITS with a focus on safety critical applications. The practical part of the contribution is dedicated to modelling of security properties of VANET networks via OPNET Modeler tool extended by the implementation of the OpenSSL library for authentication protocol realisation based on digital signature schemes. The designed models simulate a transmission of authorised alert messages in Car-to-Car communication for several traffic scenarios with recommended Elliptic Curve Integrated Encryption Scheme (ECIES. The obtained results of the throughput and delay in the simulated network are compared for secured and no-secured communications in dependence on the selected digital signature schemes and the number of mobile nodes. The OpenSSL library has also been utilised for the comparison of time demandingness of digital signature schemes based on RSA (Rivest Shamir Adleman, DSA (Digital Signature Algorithm and ECDSA (Elliptic Curve Digital Signature Algorithm for different key-lengths suitable for real time VANET communications for safety-critical applications of C-ITS.

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

    Science.gov (United States)

    Fasni, Nurli; Fatimah, Siti; Yulanda, Syerli

    2017-05-01

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

  2. Forensic intelligence framework--Part I: Induction of a transversal model by comparing illicit drugs and false identity documents monitoring.

    Science.gov (United States)

    Morelato, Marie; Baechler, Simon; Ribaux, Olivier; Beavis, Alison; Tahtouh, Mark; Kirkbride, Paul; Roux, Claude; Margot, Pierre

    2014-03-01

    Forensic intelligence is a distinct dimension of forensic science. Forensic intelligence processes have mostly been developed to address either a specific type of trace or a specific problem. Even though these empirical developments have led to successes, they are trace-specific in nature and contribute to the generation of silos which hamper the establishment of a more general and transversal model. Forensic intelligence has shown some important perspectives but more general developments are required to address persistent challenges. This will ensure the progress of the discipline as well as its widespread implementation in the future. This paper demonstrates that the description of forensic intelligence processes, their architectures, and the methods for building them can, at a certain level, be abstracted from the type of traces considered. A comparative analysis is made between two forensic intelligence approaches developed independently in Australia and in Europe regarding the monitoring of apparently very different kind of problems: illicit drugs and false identity documents. An inductive effort is pursued to identify similarities and to outline a general model. Besides breaking barriers between apparently separate fields of study in forensic science and intelligence, this transversal model would assist in defining forensic intelligence, its role and place in policing, and in identifying its contributions and limitations. The model will facilitate the paradigm shift from the current case-by-case reactive attitude towards a proactive approach by serving as a guideline for the use of forensic case data in an intelligence-led perspective. A follow-up article will specifically address issues related to comparison processes, decision points and organisational issues regarding forensic intelligence (part II).

  3. Building energy modeling for green architecture and intelligent dashboard applications

    Science.gov (United States)

    DeBlois, Justin

    Buildings are responsible for 40% of the carbon emissions in the United States. Energy efficiency in this sector is key to reducing overall greenhouse gas emissions. This work studied the passive technique called the roof solar chimney for reducing the cooling load in homes architecturally. Three models of the chimney were created: a zonal building energy model, computational fluid dynamics model, and numerical analytic model. The study estimated the error introduced to the building energy model (BEM) through key assumptions, and then used a sensitivity analysis to examine the impact on the model outputs. The conclusion was that the error in the building energy model is small enough to use it for building simulation reliably. Further studies simulated the roof solar chimney in a whole building, integrated into one side of the roof. Comparisons were made between high and low efficiency constructions, and three ventilation strategies. The results showed that in four US climates, the roof solar chimney results in significant cooling load energy savings of up to 90%. After developing this new method for the small scale representation of a passive architecture technique in BEM, the study expanded the scope to address a fundamental issue in modeling - the implementation of the uncertainty from and improvement of occupant behavior. This is believed to be one of the weakest links in both accurate modeling and proper, energy efficient building operation. A calibrated model of the Mascaro Center for Sustainable Innovation's LEED Gold, 3,400 m2 building was created. Then algorithms were developed for integration to the building's dashboard application that show the occupant the energy savings for a variety of behaviors in real time. An approach using neural networks to act on real-time building automation system data was found to be the most accurate and efficient way to predict the current energy savings for each scenario. A stochastic study examined the impact of the

  4. Application of artificial intelligence models in water quality forecasting.

    Science.gov (United States)

    Yeon, I S; Kim, J H; Jun, K W

    2008-06-01

    The real-time data of the continuous water quality monitoring station at the Pyeongchang river was analyzed separately during the rainy period and non-rainy period. Total organic carbon data observed during the rainy period showed a greater mean value, maximum value and standard deviation than the data observed during the non-rainy period. Dissolved oxygen values during the rainy period were lower than those observed during the non-rainy period. It was analyzed that the discharge due to rain fall from the basin affects the change of the water quality. A model for the forecasting of water quality was constructed and applied using the neural network model and the adaptive neuro-fuzzy inference system. Regarding the models of levenberg-marquardt neural network, modular neural network and adaptive neuro-fuzzy inference system, all three models showed good results for the simulation of total organic carbon. The levenberg-marquardt neural network and modular neural network models showed better results than the adaptive neuro-fuzzy inference system model in the forecasting of dissolved oxygen. The modular neural network model, which was applied with the qualitative data of time in addition to quantitative data, showed the least error.

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

    Science.gov (United States)

    Chen, Zemin

    2007-06-01

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

  6. Tutoring in problem-based learning medical curricula: the influence of tutor background and style on effectiveness

    Directory of Open Access Journals (Sweden)

    Régo Patricia

    2005-06-01

    Full Text Available Abstract Background Evidence for the superiority of particular characteristics in PBL tutors in medical curricula is generally inconclusive. Most studies have investigated the effectiveness of content experts compared with that of non-experts as measured either by student satisfaction or academic achievement. A few have compared academic staff tutors with student tutors. The purpose of this study was to investigate the relationship between students' perception of overall tutor effectiveness, particular tutor behaviours, clinical qualifications and academic appointment. Method A questionnaire designed to evaluate particular aspects of PBL tutoring technique, related either to subject-matter knowledge or to process-facilitation skill, as well as overall effectiveness, was distributed to students in first year of a PBL medical program at the end of each of three tutor terms. A total of 76 tutor terms were included in the study. Data analysis compared clinical with non-clinical tutors, and staff with non-staff tutors. Results Clinically qualified tutors used their subject-matter knowledge significantly more than non-clinical tutors and were seen as being more empathic with their students. Staff tutors placed more emphasis on assessment than non-staff tutors and were seen as having greater skill in establishing and maintaining an environment of cooperation within their PBL groups than non-staff tutors. Conclusion These results suggest that both subject-matter knowledge and process-facilitation skills are necessary but not individually sufficient characteristics of effective tutors.

  7. Effects of training peer tutors in content knowledge versus tutoring skills on giving feedback to help tutees’ complex tasks

    NARCIS (Netherlands)

    Hsiao, Amy; Brouns, Francis; Van Bruggen, Jan; Sloep, Peter

    2015-01-01

    This study aims to investigate the effectiveness of training tutors in content knowledge of a particular domain versus training them in tutoring skills of pedagogical knowledge when tutoring on a complex tutee task. Forty-seven tutor-tutee pairs of fourth year secondary school students were created

  8. 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...

  9. 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

  10. John Carroll’s Views on Intelligence: Bi-Factor vs. Higher-Order Models

    Directory of Open Access Journals (Sweden)

    A. Alexander Beaujean

    2015-10-01

    Full Text Available The development of factor models is inextricably tied to the history of intelligence research. One of the most commonly-cited scholars in the field is John Carroll, whose three-stratum theory of cognitive ability has been one of the most influential models of cognitive ability in the past 20 years. Nonetheless, there is disagreement about how Carroll conceptualized the factors in his model. Some argue that his model is best represented through a higher-order model, while others argue that a bi-factor model is a better representation. Carroll was explicit about what he perceived the best way to represent his model, but his writings are not always easy to understand. In this article, I clarify his position by first describing the details and implications of bi-factor and higher-order models then show that Carroll’s published views are better represented by a bi-factor model.

  11. Design Intelligent Model base Online Tuning Methodology for Nonlinear System

    Directory of Open Access Journals (Sweden)

    Ali Roshanzamir

    2014-04-01

    Full Text Available In various dynamic parameters systems that need to be training on-line adaptive control methodology is used. In this paper fuzzy model-base adaptive methodology is used to tune the linear Proportional Integral Derivative (PID controller. The main objectives in any systems are; stability, robust and reliability. However PID controller is used in many applications but it has many challenges to control of continuum robot. To solve these problems nonlinear adaptive methodology based on model base fuzzy logic is used. This research is used to reduce or eliminate the PID controller problems based on model reference fuzzy logic theory to control of flexible robot manipulator system and testing of the quality of process control in the simulation environment of MATLAB/SIMULINK Simulator.

  12. Developing energy forecasting model using hybrid artificial intelligence method

    Institute of Scientific and Technical Information of China (English)

    Shahram Mollaiy-Berneti

    2015-01-01

    An important problem in demand planning for energy consumption is developing an accurate energy forecasting model. In fact, it is not possible to allocate the energy resources in an optimal manner without having accurate demand value. A new energy forecasting model was proposed based on the back-propagation (BP) type neural network and imperialist competitive algorithm. The proposed method offers the advantage of local search ability of BP technique and global search ability of imperialist competitive algorithm. Two types of empirical data regarding the energy demand (gross domestic product (GDP), population, import, export and energy demand) in Turkey from 1979 to 2005 and electricity demand (population, GDP, total revenue from exporting industrial products and electricity consumption) in Thailand from 1986 to 2010 were investigated to demonstrate the applicability and merits of the present method. The performance of the proposed model is found to be better than that of conventional back-propagation neural network with low mean absolute error.

  13. Design and Optimization of Intelligent Service Robot Suspension System Using Dynamic Model

    Energy Technology Data Exchange (ETDEWEB)

    Choi, Seong Hoon; Park, Tae Won; Lee, Soo Ho; Jung, Sung Pil; Jun, Kab Jin; Yoon, J. W. [Ajou University, Suwon (Korea, Republic of)

    2010-08-15

    Recently, an intelligent service robot is being developed for use in guiding and providing information to visitors about the building at public institutions. The intelligent robot has a sensor at the bottom to recognize its location. Four wheels, which are arranged in the form of a lozenge, support the robot. This robot cannot be operated on uneven ground because its driving parts are attached to its main body that contains the important internal components. Continuous impact with the ground can change the precise positions of the components and weaken the connection between each structural part. In this paper, the design of the suspension system for such a robot is described. The dynamic model of the robot is created, and the driving characteristics of the robot with the designed suspension system are simulated. Additionally, the suspension system is optimized to reduce the impact for the robot components.

  14. Model Data Warehouse dan Business Intelligence untuk Meningkatkan Penjualan pada PT. S

    Directory of Open Access Journals (Sweden)

    Rudy Rudy

    2011-06-01

    Full Text Available Today a lot of companies use information system in every business activity. Every transaction is stored electronically in the database transaction. The transactional database does not help much to assist the executives in making strategic decisions to improve the company competitiveness. The objective of this research is to analyze the operational database system and the information needed by the management to design a data warehouse model which fits the executive information needs in PT. S. The research method uses the Nine-Step Methodology data warehouse design by Ralph Kimball. The result is a data warehouse featuring business intelligence applications to display information of historical data in tables, graphs, pivot tables, and dashboards and has several points of view for the management. This research concludes that a data warehouse which combines multiple database transactions with business intelligence application can help executives to understand the reports in order to accelerate decision-making processes. 

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

    DEFF Research Database (Denmark)

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

    2013-01-01

    The speech-based envelope power spectrum model (sEPSM) presented by Jørgensen and Dau [(2011). J. Acoust. Soc. Am. 130, 1475-1487] estimates the envelope power signal-to-noise ratio (SNRenv) after modulation-frequency selective processing. Changes in this metric were shown to account well...... for changes of speech intelligibility for normal-hearing listeners in conditions with additive stationary noise, reverberation, and nonlinear processing with spectral subtraction. In the latter condition, the standardized speech transmission index [(2003). IEC 60268-16] fails. However, the sEPSM is limited...... with a modulation-filter dependent duration. The multi-resolution sEPSM is demonstrated to account for intelligibility obtained in conditions with stationary and fluctuating interferers, and noisy speech distorted by reverberation or spectral subtraction. The results support the hypothesis that the SNRenv...

  16. A novel recurrent neural network forecasting model for power intelligence center

    Institute of Scientific and Technical Information of China (English)

    LIU Ji-cheng; NIU Dong-xiao

    2008-01-01

    In order to accurately forecast the load of power system and enhance the stability of the power network, a novel unascertained mathematics based recurrent neural network (UMRNN) for power intelligence center (PIC) was created through three steps. First, by combining with the general project uncertain element transmission theory (GPUET), the basic definitions of stochastic,fuzzy, and grey uncertain elements were given based on the principal types of uncertain information. Second, a power dynamic alliance including four sectors: generation sector, transmission sector, distribution sector and customers was established. The key factors were amended according to the four transmission topologies of uncertain elements, thus the new factors entered the power Intelligence center as the input elements. Finally, in the intelligence handing background of PIC, by performing uncertain and recursive process to the input values of network, and combining unascertained mathematics, the novel load forecasting model was built. Three different approaches were put forward to forecast an eastern regional power grid load in China. The root mean square error (ERMS) demonstrates that the forecasting accuracy of the proposed model UMRNN is 3% higher than that of BP neural network (BPNN), and 5% higher than that of autoregressive integrated moving average (ARIMA). Besides, an example also shows that the average relative error of the first quarter of 2008 forecasted by UMRNN is only 2.59%, which has high precision.

  17. Programming Models and Tools for Intelligent Embedded Systems

    DEFF Research Database (Denmark)

    Sørensen, Peter Verner Bojsen

    Design automation and analysis tools targeting embedded platforms, developed using a component-based design approach, must be able to reason about the capabilities of the platforms. In the general case where nothing is assumed about the components comprising a platform or the platform topology......, analysis must be employed to determine its capabilities. This kind of analysis is the subject of this dissertation. The main contribution of this work is the Service Relation Model used to describe and analyze the flow of service in models of platforms and systems composed of re-usable components...

  18. Experiences of clinical tutors with English as an additional language (EAL) students.

    Science.gov (United States)

    Lu, Hongyan; Maithus, Caroline

    2012-11-01

    Clinical tutors, referred to in the international literature as clinical supervisors, facilitators, mentors or instructors, are responsible for providing and supervising workplace learning opportunities for groups of Bachelor of Nursing (BN) students. They also play a key role in assessing students. The role modeling and support provided by both clinical tutors and registered nurses (RN) or nurse preceptors helps students become familiar with the language in which nursing work is realised. As BN student cohorts in New Zealand have become more diverse in terms of cultures, ethnicities and language backgrounds, clinical tutors have to directly facilitate the development of context-specific and client-focused communication skills for students who speak English as an additional language. We undertook a study which looked at the perceptions of new nursing graduates with English as an additional language (EAL) on the development of spoken language skills for the clinical workplace. As well as interviewing graduates, we spoke to four clinical tutors in order to elicit their views on the language development of EAL students in previous cohorts. This article reports on the themes which emerged from the interviews with the tutors. These include goal setting for communication, integrating students into nursing work, making assessment less stressful, and endorsing independent learning strategies. Based on their observations and on other published research we make some suggestions about ways both clinical tutors and EAL students within their teaching groups could be supported in the development of communication skills for clinical practice.

  19. Intelligent modeling and identification of aircraft nonlinear flight

    Institute of Scientific and Technical Information of China (English)

    Alireza Roudbari; Fariborz Saghafi

    2014-01-01

    In this paper, a new approach has been proposed to identify and model the dynamics of a highly maneuverable fighter aircraft through artificial neural networks (ANNs). In general, air-craft flight dynamics is considered as a nonlinear and coupled system whose modeling through ANNs, unlike classical approaches, does not require any aerodynamic or propulsion information and a few flight test data seem sufficient. In this study, for identification and modeling of the aircraft dynamics, two known structures of internal and external recurrent neural networks (RNNs) and a proposed structure called hybrid combined recurrent neural network have been used and compared. In order to improve the training process, an appropriate evolutionary method has been applied to simultaneously train and optimize the parameters of ANNs. In this research, it has been shown that six ANNs each with three inputs and one output, trained by flight test data, can model the dynamic behavior of the highly maneuverable aircraft with acceptable accuracy and without any priori knowledge about the system.

  20. Construct of emotional intelligence

    OpenAIRE

    Sonja Pečjak in Andreja Avsec

    2003-01-01

    The article highlights the construct of emotional intelligence, that has appeared about then years ago. We present the popular and scientific comprehension of emotional intelligence, briefly describe the development of the concept and than in detail we propose the existing comprehension of emotional intelligence: through the models of Goleman (1995) and Bar-On (1997) we present the comprehension of emotional intelligence as a non-cognitive (personality) traits.

  1. Construct of emotional intelligence

    Directory of Open Access Journals (Sweden)

    Sonja Pečjak in Andreja Avsec

    2003-04-01

    Full Text Available The article highlights the construct of emotional intelligence, that has appeared about then years ago. We present the popular and scientific comprehension of emotional intelligence, briefly describe the development of the concept and than in detail we propose the existing comprehension of emotional intelligence: through the models of Goleman (1995 and Bar-On (1997 we present the comprehension of emotional intelligence as a non-cognitive (personality traits.

  2. A Suitable Artificial Intelligence Model for Inventory Level Optimization

    Directory of Open Access Journals (Sweden)

    Tereza Sustrova

    2016-05-01

    Full Text Available Purpose of the article: To examine suitable methods of artificial neural networks and their application in business operations, specifically to the supply chain management. The article discusses construction of an artificial neural networks model that can be used to facilitate optimization of inventory level and thus improve the ordering system and inventory management. For the data analysis from the area of wholesale trade with connecting material is used. Methodology/methods: Methods used in the paper consists especially of artificial neural networks and ANN-based modelling. For data analysis and preprocessing, MS Office Excel software is used. As an instrument for neural network forecasting MathWorks MATLAB Neural Network Tool was used. Deductive quantitative methods for research are also used. Scientific aim: The effort is directed at finding whether the method of prediction using artificial neural networks is suitable as a tool for enhancing the ordering system of an enterprise. The research also focuses on finding what architecture of the artificial neural networks model is the most suitable for subsequent prediction. Findings of the research show that artificial neural networks models can be used for inventory management and lot-sizing problem successfully. A network with the TRAINGDX training function and TANSIG transfer function and 6-8-1 architecture can be considered the most suitable for artificial neural network, as it shows the best results for subsequent prediction.. Conclusions resulting from the paper are beneficial for further research. It can be concluded that the created model of artificial neural network can be successfully used for predicting order size and therefore for improving the order cycle of an enterprise.

  3. Complex system modelling and control through intelligent soft computations

    CERN Document Server

    Azar, Ahmad

    2015-01-01

    The book offers a snapshot of the theories and applications of soft computing in the area of complex systems modeling and control. It presents the most important findings discussed during the 5th International Conference on Modelling, Identification and Control, held in Cairo, from August 31-September 2, 2013. The book consists of twenty-nine selected contributions, which have been thoroughly reviewed and extended before their inclusion in the volume. The different chapters, written by active researchers in the field, report on both current theories and important applications of soft-computing. Besides providing the readers with soft-computing fundamentals, and soft-computing based inductive methodologies/algorithms, the book also discusses key industrial soft-computing applications, as well as multidisciplinary solutions developed for a variety of purposes, like windup control, waste management, security issues, biomedical applications and many others. It is a perfect reference guide for graduate students, r...

  4. A Concept Map Knowledge Model of Intelligence Analysis

    Science.gov (United States)

    2011-05-01

    semantics, morphology, and inclusion of a focus question, which are discussed in Sub-section 2.3. A brief history of Novakian CMapping is given in Sub...model and is more interactive; and • It allows the inclusion of numerous resources that can be accessed with a click of a computer mouse, which is...Conéctate al Conocimiento: Una Estrategia Nacional de Panamá basada en Mapas Conceptuales. In Second International Conference on Concept Mapping

  5. A New Efficient Hybrid Intelligent Model for Biodegradation Process of DMP with Fuzzy Wavelet Neural Networks

    Science.gov (United States)

    Huang, Mingzhi; Zhang, Tao; Ruan, Jujun; Chen, Xiaohong

    2017-01-01

    A new efficient hybrid intelligent approach based on fuzzy wavelet neural network (FWNN) was proposed for effectively modeling and simulating biodegradation process of Dimethyl phthalate (DMP) in an anaerobic/anoxic/oxic (AAO) wastewater treatment process. With the self learning and memory abilities of neural networks (NN), handling uncertainty capacity of fuzzy logic (FL), analyzing local details superiority of wavelet transform (WT) and global search of genetic algorithm (GA), the proposed hybrid intelligent model can extract the dynamic behavior and complex interrelationships from various water quality variables. For finding the optimal values for parameters of the proposed FWNN, a hybrid learning algorithm integrating an improved genetic optimization and gradient descent algorithm is employed. The results show, compared with NN model (optimized by GA) and kinetic model, the proposed FWNN model have the quicker convergence speed, the higher prediction performance, and smaller RMSE (0.080), MSE (0.0064), MAPE (1.8158) and higher R2 (0.9851) values. which illustrates FWNN model simulates effluent DMP more accurately than the mechanism model.

  6. A New Efficient Hybrid Intelligent Model for Biodegradation Process of DMP with Fuzzy Wavelet Neural Networks

    Science.gov (United States)

    Huang, Mingzhi; Zhang, Tao; Ruan, Jujun; Chen, Xiaohong

    2017-01-01

    A new efficient hybrid intelligent approach based on fuzzy wavelet neural network (FWNN) was proposed for effectively modeling and simulating biodegradation process of Dimethyl phthalate (DMP) in an anaerobic/anoxic/oxic (AAO) wastewater treatment process. With the self learning and memory abilities of neural networks (NN), handling uncertainty capacity of fuzzy logic (FL), analyzing local details superiority of wavelet transform (WT) and global search of genetic algorithm (GA), the proposed hybrid intelligent model can extract the dynamic behavior and complex interrelationships from various water quality variables. For finding the optimal values for parameters of the proposed FWNN, a hybrid learning algorithm integrating an improved genetic optimization and gradient descent algorithm is employed. The results show, compared with NN model (optimized by GA) and kinetic model, the proposed FWNN model have the quicker convergence speed, the higher prediction performance, and smaller RMSE (0.080), MSE (0.0064), MAPE (1.8158) and higher R2 (0.9851) values. which illustrates FWNN model simulates effluent DMP more accurately than the mechanism model. PMID:28120889

  7. Mining Social and Affective Data for Recommendation of Student Tutors

    Directory of Open Access Journals (Sweden)

    Elisa Boff

    2013-03-01

    Full Text Available This paper presents a learning environment where a mining algorithm is used to learn patterns of interaction with the user and to represent these patterns in a scheme called item descriptors. The learning environment keeps theoretical information about subjects, as well as tools and exercises where the student can put into practice the knowledge gained. One of the main purposes of the project is to stimulate collaborative learning through the interaction of students with different levels of knowledge. The students' actions, as well as their interactions, are monitored by the system and used to find patterns that can guide the search for students that may play the role of a tutor. Such patterns are found with a particular learning algorithm and represented in item descriptors. The paper presents the educational environment, the representation mechanism and learning algorithm used to mine social-affective data in order to create a recommendation model of tutors.

  8. A Visualization-Based Tutoring Tool for Engineering Education

    Science.gov (United States)

    Nguyen, Tang-Hung; Khoo, I.-Hung

    2010-06-01

    In engineering disciplines, students usually have hard time to visualize different aspects of engineering analysis and design, which inherently are too complex or abstract to fully understand without the aid of visual explanations or visualizations. As examples, when learning materials and sequences of construction process, students need to visualize how all components of a constructed facility are assembled? Such visualization can not be achieved in a textbook and a traditional lecturing environment. In this paper, the authors present the development of a computer tutoring software, in which different visualization tools including video clips, 3 dimensional models, drawings, pictures/photos together with complementary texts are used to assist students in deeply understanding and effectively mastering materials. The paper will also discuss the implementation and the effectiveness evaluation of the proposed tutoring software, which was used to teach a construction engineering management course offered at California State University, Long Beach.

  9. Framework for Intelligent Teaching and Training Systems -- A Study of Systems

    Science.gov (United States)

    Graf von Malotky, Nikolaj Troels; Martens, Alke

    2016-01-01

    Intelligent Tutoring System are state of the art in eLearning since the late 1980s. The earliest system have been developed in teams of psychologists and computer scientists, with the goal to investigate learning processes and, later on with the goal to intelligently support teaching and training with computers. Over the years, the eLearning hype…

  10. The Value of Intelligent Multimedia Simulation for Teaching Clinical Decision-Making Skills.

    Science.gov (United States)

    Garrett, Bernard M.; Callear, David

    2001-01-01

    Examines advantages and disadvantages of multimedia simulation in nursing education. Provides an example of a modular design with an integrated intelligent agent and knowledge base for teaching clinical decision making. Concludes that this approach overcomes some of the problems of intelligent tutoring systems. Contains 40 references. (SK)

  11. 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…

  12. Hybrid Modeling and Optimization of Manufacturing Combining Artificial Intelligence and Finite Element Method

    CERN Document Server

    Quiza, Ramón; Davim, J Paulo

    2012-01-01

    Artificial intelligence (AI) techniques and the finite element method (FEM) are both powerful computing tools, which are extensively used for modeling and optimizing manufacturing processes. The combination of these tools has resulted in a new flexible and robust approach as several recent studies have shown. This book aims to review the work already done in this field as well as to expose the new possibilities and foreseen trends. The book is expected to be useful for postgraduate students and researchers, working in the area of modeling and optimization of manufacturing processes.

  13. Predicting speech intelligibility in adverse conditions: evaluation of the speech-based envelope power spectrum model

    DEFF Research Database (Denmark)

    2011-01-01

    The speech-based envelope power spectrum model (sEPSM) [Jørgensen and Dau (2011). J. Acoust. Soc. Am., 130 (3), 1475–1487] estimates the envelope signal-to-noise ratio (SNRenv) of distorted speech and accurately describes the speech recognition thresholds (SRT) for normal-hearing listeners...... conditions by comparing predictions to measured data from [Kjems et al. (2009). J. Acoust. Soc. Am. 126 (3), 1415-1426] where speech is mixed with four different interferers, including speech-shaped noise, bottle noise, car noise, and cafe noise. The model accounts well for the differences in intelligibility...

  14. A Business Intelligence Model to Predict Bankruptcy using Financial Domain Ontology with Association Rule Mining Algorithm

    CERN Document Server

    Martin, A; Venkatesan, Dr V Prasanna

    2011-01-01

    Today in every organization financial analysis provides the basis for understanding and evaluating the results of business operations and delivering how well a business is doing. This means that the organizations can control the operational activities primarily related to corporate finance. One way that doing this is by analysis of bankruptcy prediction. This paper develops an ontological model from financial information of an organization by analyzing the Semantics of the financial statement of a business. One of the best bankruptcy prediction models is Altman Z-score model. Altman Z-score method uses financial rations to predict bankruptcy. From the financial ontological model the relation between financial data is discovered by using data mining algorithm. By combining financial domain ontological model with association rule mining algorithm and Zscore model a new business intelligence model is developed to predict the bankruptcy.

  15. Modeling river total bed material load discharge using artificial intelligence approaches (based on conceptual inputs)

    Science.gov (United States)

    Roushangar, Kiyoumars; Mehrabani, Fatemeh Vojoudi; Shiri, Jalal

    2014-06-01

    This study presents Artificial Intelligence (AI)-based modeling of total bed material load through developing the accuracy level of the predictions of traditional models. Gene expression programming (GEP) and adaptive neuro-fuzzy inference system (ANFIS)-based models were developed and validated for estimations. Sediment data from Qotur River (Northwestern Iran) were used for developing and validation of the applied techniques. In order to assess the applied techniques in relation to traditional models, stream power-based and shear stress-based physical models were also applied in the studied case. The obtained results reveal that developed AI-based models using minimum number of dominant factors, give more accurate results than the other applied models. Nonetheless, it was revealed that k-fold test is a practical but high-cost technique for complete scanning of applied data and avoiding the over-fitting.

  16. Past, present and prospect of an Artificial Intelligence (AI) based model for sediment transport prediction

    Science.gov (United States)

    Afan, Haitham Abdulmohsin; El-shafie, Ahmed; Mohtar, Wan Hanna Melini Wan; Yaseen, Zaher Mundher

    2016-10-01

    An accurate model for sediment prediction is a priority for all hydrological researchers. Many conventional methods have shown an inability to achieve an accurate prediction of suspended sediment. These methods are unable to understand the behaviour of sediment transport in rivers due to the complexity, noise, non-stationarity, and dynamism of the sediment pattern. In the past two decades, Artificial Intelligence (AI) and computational approaches have become a remarkable tool for developing an accurate model. These approaches are considered a powerful tool for solving any non-linear model, as they can deal easily with a large number of data and sophisticated models. This paper is a review of all AI approaches that have been applied in sediment modelling. The current research focuses on the development of AI application in sediment transport. In addition, the review identifies major challenges and opportunities for prospective research. Throughout the literature, complementary models superior to classical modelling.

  17. INFOGRAPHIC MODELING OF THE MAN-MACHINERY-ENVIRONMENT SYSTEM EXEMPLIFIED BY AN INTELLIGENT BUILDING WITHIN THE FRAMEWORK OF INNOVATIVE CONFLICTS

    OpenAIRE

    Volkov Andrey Anatolevich; Rakhmonov Emomali Karimovich

    2012-01-01

    The authors consider the problems that accompany development of construction conflict management techniques using infographic modeling. The authors analyze comprehensive safety and comfort assurance requirements applicable to an intelligent building. The authors provide a brief overview of systems that comprise an intelligent building. The authors argue that there is a pressing need for the study of the fundamentals of construction conflict management as a new theoretical and a...

  18. Meetei Mayek Unicode Modeling Using Swarm Intelligence and Neural Networks

    Directory of Open Access Journals (Sweden)

    Wahengbam Kanan Kumar

    2014-04-01

    Full Text Available The Different techniques have evolved for better optical character recognition for many scripts, yet very little literature has been found for Meetei Mayek script. The current paper exhibits a new approach to model and simulate handwritten Meetei mayek script by using advanced segmentation tools and recognition algorithms. Preprocessing of the acquired images is needed before segmentation and recognition steps; segmentation is done by using PSOFCM segmentation, while multilayer feed forward neural network with back propagation learning is used for the recognition purpose. It may be noted that PSOFCM segmentation proved useful for MRI image processing in our previous paper, the same technique is used for enhancing the characters. The detailed procedures along with the results are discussed in the sections shown below

  19. Modeling speech intelligibility in quiet and noise in listeners with normal and impaired hearing.

    Science.gov (United States)

    Rhebergen, Koenraad S; Lyzenga, Johannes; Dreschler, Wouter A; Festen, Joost M

    2010-03-01

    The speech intelligibility index (SII) is an often used calculation method for estimating the proportion of audible speech in noise. For speech reception thresholds (SRTs), measured in normally hearing listeners using various types of stationary noise, this model predicts a fairly constant speech proportion of about 0.33, necessary for Dutch sentence intelligibility. However, when the SII model is applied for SRTs in quiet, the estimated speech proportions are often higher, and show a larger inter-subject variability, than found for speech in noise near normal speech levels [65 dB sound pressure level (SPL)]. The present model attempts to alleviate this problem by including cochlear compression. It is based on a loudness model for normally hearing and hearing-impaired listeners of Moore and Glasberg [(2004). Hear. Res. 188, 70-88]. It estimates internal excitation levels for speech and noise and then calculates the proportion of speech above noise and threshold using similar spectral weighting as used in the SII. The present model and the standard SII were used to predict SII values in quiet and in stationary noise for normally hearing and hearing-impaired listeners. The present model predicted SIIs for three listener types (normal hearing, noise-induced, and age-induced hearing loss) with markedly less variability than the standard SII.

  20. 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