WorldWideScience

Sample records for model intelligent tutoring

  1. 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.

  2. 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,…

  3. A UML Profile Oriented to the Requirements Modeling in Intelligent Tutoring Systems Projects

    OpenAIRE

    Guedes , Gilleanes Thorwald Araujo; Vicari , Rosa Maria

    2010-01-01

    International audience; This paper describes a proposal for the creation of a UML profile oriented to the intelligent tutoring systems project. In this paper we shall describe the proposed profile as well as its application into the modeling of the AMEA intelligent tutoring system.

  4. 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…

  5. 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.

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

    Science.gov (United States)

    2014-12-01

    mentor. An alternative to one-to-one human tutoring is one-to-one computer-moderated tutoring using artificially Intelligent Tutoring Systems (ITSs...observations. 15. SUBJECT TERMS self-regulated learning methods, intelligent tutoring system , Army Learning Model, adaptive tutoring , authoring tools...loop, our alternative is to provide one-to-one computer-guided instruction using Intelligent Tutoring Systems (ITSs), which have been shown to be

  7. Some Principles of Intelligent Tutoring.

    Science.gov (United States)

    Ohlsson, Stellan

    1986-01-01

    Research on intelligent tutoring systems is discussed from the point of view of providing moment-by-moment adaptation of content and form of instruction to the changing cognitive needs of individual learners. Implications of this goal for cognitive diagnosis, subject matter analysis, teaching tactics, and teaching strategies are analyzed. (Author)

  8. DCBITS: Distributed Case Base Intelligent Tutoring System

    Science.gov (United States)

    Rishi, O. P.; Govil, Rekha

    2008-05-01

    Online learning with Intelligent Tutoring System (ITS) is becoming very popular where the system models the student's learning behavior and presents to the student the learning material (content, questions-answers, assignments) accordingly. In today's distributed computing environment, the tutoring system can take advantage of networking to utilize the model for a student for students from other similar groups. In the present paper we present a methodology where using Case Based Reasoning (CBR), ITS provides student modeling for online learning in a distributed environment with the help of agents. Student modeling is a key component in any Intelligent Tutoring System (ITS). In today's distributed computing environment, the tutoring system can take advantage of networking to utilize the model for a student for students from other similar group. In the present paper we present a methodology where using Case Based Reasoning (CBR), the ITS provides student modeling for online learning in a distributed environment with the help of agents. The Chapter describes the approach, the architecture, and the agent characteristics for the student modeling in the ITS. This concept can be deployed to develop ITS where the tutor can author and the students can learn locally whereas the ITS can model the students' learning globally in a distributed environment. The advantage of such an approach is that both the learning material (domain knowledge) and students' model can be globally distributed thus enhancing the efficiency of ITS with reducing the bandwidth requirement and complexity of the system.

  9. Intelligent Tutoring Systems for Scientific Inquiry Skills.

    Science.gov (United States)

    Shute, Valerie; Bonar, Jeffrey

    Described are the initial prototypes of several intelligent tutoring systems designed to build students' scientific inquiry skills. These inquiry skills are taught in the context of acquiring knowledge of principles from a microworld that models a specific domain. This paper discusses microworlds that have been implemented for microeconomics,…

  10. Determining Difficulty of Questions in Intelligent Tutoring Systems

    Science.gov (United States)

    Gunel, Korhan; Asliyan, Rifat

    2009-01-01

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

  11. Learning How to Construct Models of Dynamic Systems: An Initial Evaluation of the Dragoon Intelligent Tutoring System

    Science.gov (United States)

    VanLehn, Kurt; Wetzel, Jon; Grover, Sachin; van de Sande, Brett

    2017-01-01

    Constructing models of dynamic systems is an important skill in both mathematics and science instruction. However, it has proved difficult to teach. Dragoon is an intelligent tutoring system intended to quickly and effectively teach this important skill. This paper describes Dragoon and an evaluation of it. The evaluation randomly assigned…

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

    Directory of Open Access Journals (Sweden)

    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.

  13. Diagnostic models of intelligent tutor system for teaching skills to solve algebraic equations

    Directory of Open Access Journals (Sweden)

    Andrey Grigoriyevich Chukhray

    2007-10-01

    Full Text Available In this paper one solution for teaching skills to solve n-power algebraic equation by Lobachevsky-Greffe-Dandelen method is described. Student’s mistakes are discovered and classified. Based on signal-parametric approach to fault diagnosis in dynamic systems mathematical diagnostic models which allow detecting mistake classes by comparing student calculated results and system calculated results are created. Features of proposed diagnostic models application are presented. Intelligent tutor system is developed and used on “Automatic Control Theory” practical training by third year students of National Aerospace University.

  14. 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.

  15. 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.

  16. 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

  17. Some Steps towards Intelligent Computer Tutoring Systems.

    Science.gov (United States)

    Tchogovadze, Gotcha G.

    1986-01-01

    Describes one way of structuring an intelligent tutoring system (ITS) in light of developments in artificial intelligence. A specialized intelligent operating system (SIOS) is proposed for software for a network of microcomputers, and it is postulated that a general learning system must be used as a basic framework for the SIOS. (Author/LRW)

  18. Qualitative Evaluation of the Java Intelligent Tutoring System

    Directory of Open Access Journals (Sweden)

    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.

  19. CLIPSITS - CLIPS INTELLIGENT TUTORING SYSTEM

    Science.gov (United States)

    Riley, G.

    1994-01-01

    The CLIPS Intelligent Tutoring System (CLIPSITS) is designed to be used to learn CLIPS, the C-language Integrated Production System expert system shell developed by the Software Technology Branch at Johnson Space Center. The goal of CLIPSITS is to provide the student with a tool to practice the syntax and concepts covered in the CLIPS User's Guide. It attempts to provide expert diagnosis and advice during problem solving which is typically not available without an instructor. CLIPSITS is divided into 10 lessons which mirror the first 10 chapters of the CLIPS User's Guide. This version of CLIPSITS is compatible with the Version 4.2 and 4.3 CLIPS User's Guide. However, the program does not cover any new features of CLIPS v4.3 that were added since the release of v4.2. The chapter numbers in the CLIPS User's Guide correspond directly with the lesson numbers in CLIPSITS. Each lesson in the program contains anywhere from 1 to 10 problems. Most of these have multiple parts. The student is given a subset of these problems from each lesson to work. The actual number of problems presented depends on how well the student masters the previous problem(s). The progression through these lessons is maintained in a personalized file under the student's name. As with most computer languages, there is usually more than one way to solve a problem. CLIPSITS attempts to be as flexible as possible and to allow as many correct solutions as possible. CLIPSITS gives the student the option of setting his/her own colors for the screen interface and the option of redefining special keystroke combinations used within the program. CLIPSITS requires an IBM PC compatible with 640K RAM and optional 2 or 3 button mouse. A 286- or 386-based machine is preferable. Performance will be somewhat slower on an XT class machine. The program must be installed on a hard disk with 825 KB space available. The program was developed in 1989. The standard distribution media is three 5.25" IBM PC DOS format

  20. Intelligent Tutoring Agent for Settlers of Catan

    NARCIS (Netherlands)

    Geuze, Jeroen; van den Broek, Egon; Schobbens, Pierre-Yves; Vanhoof, Wim; Schwanen, Gabriel

    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

  1. Teaching Formal Languages by an Intelligent Tutoring System

    Directory of Open Access Journals (Sweden)

    Dušan Popovic

    2000-01-01

    Full Text Available The paper describes design of the FLUTE system, an intelligent tutoring system in the domain of formal languages and automata. The basic idea of the FLUTE system is a systematic introduction of students into the system's domain, in accordance with both the logical structure of the domain and individual background knowledge and learning capabilities of each student. Other intelligent tutoring systems in that domain are not described in the open literature. The knowledge in the FLUTE system is represented starting from ITS ontology that has been defined within a recently developed framework and a model of intelligent tutoring systems, called GET-BITS. A brief overview of the model/framework is also included. The contents that should be presented to the student during tutoring sessions are discussed and logical organization of such contents within the system is described. The system is analyzed in the paper from the pedagogical point of view. Every concept that a student has to learn during a session with FLUTE, the system illustrates by a number of examples. This makes the tutoring process more dynamic and facilitates learning.

  2. Diagnosis and Remediation in the Context of Intelligent Tutoring Systems.

    Science.gov (United States)

    Sleeman, D.; And Others

    This paper provides an overview of the four major aspects of the PIXIE Intelligent Tutoring System: the field work undertaken to determine how teachers diagnose and remediate in introductory algebra; the set of experiments run to determine the relative effectiveness of Model-Based-Remediation (MBR) and Reteaching; systems work carried out to…

  3. Suitable Adaptation Mechanisms for Intelligent Tutoring Technologies

    Science.gov (United States)

    2010-12-01

    reliability and validity of the styles that had already been covered. The search yielded the Index of Learning Styles (ILS; Felder & Silverman, 1988... Felder & Solomon, 2006). The ILS was also briefly touched upon for use in intelligent tutoring systems by Banbury et al. (2009); however, the single...section provides an overview of the Felder -Solomon Index of Learning Styles. In addition, this section introduces an adaptive learning aid (LOCATETM

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

    Science.gov (United States)

    2016-03-01

    intelligent tutoring systems : volume 1, learner... Intelligent Framework for Tutoring ITS intelligent tutoring system SAS Survey Authoring System TUI tutor -user interface UI user interface URI...ARL-SR-0353 ● MAR 2016 US Army Research Laboratory A Heuristic Evaluation of the Generalized Intelligent Framework for Tutoring

  5. 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

    Intelligent Tutoring Systems (ITSs), which have been shown to be effective in promoting individual learning in static, simple, well-defined domains (e.g...Laboratory based on cadet observations. 15. SUBJECT TERMS self-regulated learning methods, intelligent tutoring system , Army Learning Model, adaptive...one-to-one computer-guided instruction using intelligent tutoring systems (ITSs), which have been shown to be effective in promoting individual

  6. 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…

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

    Science.gov (United States)

    1987-01-01

    University of South Carolina Training Command (N-5) Dr. Natalie Dehn Colombia , SC 29208 NAS Pensacola, FL 32508 Department of Computer and Information...DACS- DPM ) ’ 50 Moulton Street Washington, DC 20310 %A Cambridge, MA 02138 Dr. Gerald F. DeJong Artificial Intelligence Grou Dr. Susan Epstein Or. john

  8. 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

  9. The Relative Effectiveness of Human Tutoring, Intelligent Tutoring Systems, and Other Tutoring Systems

    Science.gov (United States)

    VanLehn, Kurt

    2011-01-01

    This article is a review of experiments comparing the effectiveness of human tutoring, computer tutoring, and no tutoring. "No tutoring" refers to instruction that teaches the same content without tutoring. The computer tutoring systems were divided by their granularity of the user interface interaction into answer-based, step-based, and…

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

    Directory of Open Access Journals (Sweden)

    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.

  11. Integrating Hypermedia Objects In An Intelligent Tutoring System

    Directory of Open Access Journals (Sweden)

    Emilia PECHEANU

    2001-12-01

    Full Text Available The paper describes the internal architecture of an Intelligent Tutoring System, CS-Tutor. The architectural design of the tutorial system was developed in a collaborative work at the Department of Computer Science of the University of Galati and the Department of Applied Informatics of the Faculty of Computer Science of Iasi. Intelligent Tutoring Systems (ITS are software packages which use the Artificial Intelligence techniques to aid in learning of some subject or skill. In recent years, Hypermedia has been gained the interest of many researchers working in the teaching field of study. The CS-Tutor internal architecture is based upon integrating Hypermedia Objects in an Intelligent Knowledge-Based frame.

  12. Adding an Intelligent Tutoring System to an Existing Training Simulation

    National Research Council Canada - National Science Library

    Stottler, Richard H; Jensen, Randy; Pike, Bill; Bingham, Rick

    2006-01-01

    ...). It was determined that the addition of an Intelligent Tutoring System (ITS) to BC2010 would off-load the instructor from these duties and allow the students to execute scenarios without requiring an instructor for the AAR...

  13. Information Processing and Coaching Treatments in an Intelligent Tutoring System

    National Research Council Canada - National Science Library

    Dillon, Ronna

    1997-01-01

    The purpose of this effort was to develop an intelligent tutoring system (ITS) to train test administrators how to operate computerized adaptive testing Armed Services Vocational Aptitude Battery (CAT-ASVAB...

  14. 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.

  15. Representing System Behaviors and Expert Behaviors for Intelligent Tutoring. Technical Report No. 108.

    Science.gov (United States)

    Towne, Douglas M.; And Others

    Simulation-based software tools that can infer system behaviors from a deep model of the system have the potential for automatically building the semantic representations required to support intelligent tutoring in fault diagnosis. The Intelligent Maintenance Training System (IMTS) is such a resource, designed for use in training troubleshooting…

  16. An intelligent tutoring system for space shuttle diagnosis

    Science.gov (United States)

    Johnson, William B.; Norton, Jeffrey E.; Duncan, Phillip C.

    1988-01-01

    An Intelligent Tutoring System (ITS) transcends conventional computer-based instruction. An ITS is capable of monitoring and understanding student performance thereby providing feedback, explanation, and remediation. This is accomplished by including models of the student, the instructor, and the expert technician or operator in the domain of interest. The space shuttle fuel cell is the technical domain for the project described below. One system, Microcomputer Intelligence for Technical Training (MITT), demonstrates that ITS's can be developed and delivered, with a reasonable amount of effort and in a short period of time, on a microcomputer. The MITT system capitalizes on the diagnostic training approach called Framework for Aiding the Understanding of Logical Troubleshooting (FAULT) (Johnson, 1987). The system's embedded procedural expert was developed with NASA's C-Language Integrated Production (CLIP) expert system shell (Cubert, 1987).

  17. An Intelligent Tutor for Intrusion Detection on Computer Systems.

    Science.gov (United States)

    Rowe, Neil C.; Schiavo, Sandra

    1998-01-01

    Describes an intelligent tutor incorporating a program using artificial-intelligence planning methods to generate realistic audit files reporting actions of simulated users and intruders of a UNIX system, and a program simulating the system afterwards that asks students to inspect the audit and fix problems. Experiments show that students using…

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

    Directory of Open Access Journals (Sweden)

    Galina V. Rybina

    2017-01-01

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

  19. Intelligent Information Presentation for Tutoring Systems

    OpenAIRE

    Zinn, Claus; Moore, Johanna; Core, MarkG.

    2005-01-01

    Effective human tutoring has been compared to a delicate balancing act. Students must be allowed to discover and correct problems on their own, but the tutor must intervene before the student becomes frustrated or confused. Natural language dialogue offers the tutor many ways to lead the student through a line of reasoning, and to indirectly notify the student of an error and use a series of hints and followup questions to get the student back on track. These sequences typically unfold across...

  20. 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…

  1. Research into the interaction between high performance and cognitive skills in an intelligent tutoring system

    Science.gov (United States)

    Fink, Pamela K.

    1991-01-01

    Two intelligent tutoring systems were developed. These tutoring systems are being used to study the effectiveness of intelligent tutoring systems in training high performance tasks and the interrelationship of high performance and cognitive tasks. The two tutoring systems, referred to as the Console Operations Tutors, were built using the same basic approach to the design of an intelligent tutoring system. This design approach allowed researchers to more rapidly implement the cognitively based tutor, the OMS Leak Detect Tutor, by using the foundation of code generated in the development of the high performance based tutor, the Manual Select Keyboard (MSK). It is believed that the approach can be further generalized to develop a generic intelligent tutoring system implementation tool.

  2. An intelligent tutoring system for teaching fundamental physics concepts

    Science.gov (United States)

    Albacete, Patricia Lucia

    1999-12-01

    Students in traditional elementary mechanics classes can master problem solving of a quantitative nature but not those of a qualitative type. Moreover, students' naive conceptions of physics remain unchanged after completing their class. A few approaches have been implemented to improve this situation however none have met with great success. Since elementary mechanics is the foundation for all of physics and it is a required course for most science majors there is a clear need to improve the instruction of the subject. To address this problem I developed a intelligent tutoring system, called the Conceptual Helper, which coaches students during homework problem solving. The tutor uses a unique cognitive based approach to teaching physics, which presents innovations in three areas. (1) The teaching strategy, which focuses on teaching those links among the concepts of the domain that are essential for conceptual understanding yet are seldom learned by the students. (2) The manner in which the knowledge is taught, which is based on a combination of effective human tutoring techniques (e.g., hinting), effective pedagogical methods (e.g., a microscopic view of matter), and less cognitively demanding approaches (e.g., anthropomorphism). (3) The way in which misconceptions are handled which uses the underlying scientific correct line of reasoning to describe to the student the phenomenon that is the basis for the misconception. From a technological point of view the Conceptual Helper was implemented as a model-tracing tutor which intervenes when students make errors and after completion of each problem, at which time the tutor scaffolds the students on post-problem reflection. The remediation is guided by probabilistic assessment of mastery and the interventions are adapted to the errors. The thesis also presents the results of the evaluation of the system which revealed that the gain scores of the experimental group were statistically significantly higher than those of

  3. Intelligent Tutoring System: A Tool for Testing the Research Curiosities of Artificial Intelligence Researchers

    Science.gov (United States)

    Yaratan, Huseyin

    2003-01-01

    An ITS (Intelligent Tutoring System) is a teaching-learning medium that uses artificial intelligence (AI) technology for instruction. Roberts and Park (1983) defines AI as the attempt to get computers to perform tasks that if performed by a human-being, intelligence would be required to perform the task. The design of an ITS comprises two distinct…

  4. The Use of Multi-Agent Systems to Build Intelligent Tutoring Systems

    Science.gov (United States)

    Vicari, Rosa M.; Giraffa, Lucia M. M.

    2002-09-01

    The paper presents our experiments and results in order to explore the possibilities of building ITS (Intelligent Tutoring Systems) using a MAS (Multi-Agent Systems) approach. This approach helps us to study the intrinsic complexity of educational environments that consider more than one student working in a co-operative way (designed to be used on the WEB or without it). We present results that arose from previous work on the use of mental and affective states to build student and tutor models. This paper organises the results our group achieved, and tries to present and discuss the problems of having a more complex situation where more than two agents (tutor and student) appear. Overall, the goal of our research group is to have a social environment where several tutors and students interact in teaching and learning situations. We pursue a social model that would represent the society of pedagogical agents existing in an interactive ITS.

  5. 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…

  6. 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

  7. Intelligent Tutoring Systems for Collaborative Learning: Enhancements to Authoring Tools

    Science.gov (United States)

    Olsen, Jennifer K.; Belenky, Daniel M.; Aleven, Vincent; Rummel, Nikol

    2013-01-01

    Collaborative and individual instruction may support different types of knowledge. Optimal instruction for a subject domain may therefore need to combine these two modes of instruction. There has not been much research, however, on combining individual and collaborative learning with Intelligent Tutoring Systems (ITSs). A first step is to expand…

  8. Applications of Bayesian decision theory to intelligent tutoring systems

    NARCIS (Netherlands)

    Vos, Hendrik J.

    1994-01-01

    Some applications of Bayesian decision theory to intelligent tutoring systems are considered. How the problem of adapting the appropriate amount of instruction to the changing nature of a student's capabilities during the learning process can be situated in the general framework of Bayesian decision

  9. 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…

  10. 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…

  11. Intelligent Tutoring Systems: Formalization as Automata and Interface Design Using Neural Networks

    Science.gov (United States)

    Curilem, S. Gloria; Barbosa, Andrea R.; de Azevedo, Fernando M.

    2007-01-01

    This article proposes a mathematical model of Intelligent Tutoring Systems (ITS), based on observations of the behaviour of these systems. One of the most important problems of pedagogical software is to establish a common language between the knowledge areas involved in their development, basically pedagogical, computing and domain areas. A…

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

    Science.gov (United States)

    1994-05-01

    34 related to the notion of knowledge being evolutionary, and graph denoted the relationships between parts of knowledge expresed as links in a network. A...embodied e, the tutor can vary In realt fnom a stick figure to a realistic mannequin, with facial expression and voice. Tbe possibilities for

  13. 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.

  14. ReportTutor – An Intelligent Tutoring System that Uses a Natural Language Interface

    Science.gov (United States)

    Crowley, Rebecca S.; Tseytlin, Eugene; Jukic, Drazen

    2005-01-01

    ReportTutor is an extension to our work on Intelligent Tutoring Systems for visual diagnosis. ReportTutor combines a virtual microscope and a natural language interface to allow students to visually inspect a virtual slide as they type a diagnostic report on the case. The system monitors both actions in the virtual microscope interface as well as text created by the student in the reporting interface. It provides feedback about the correctness, completeness, and style of the report. ReportTutor uses MMTx with a custom data-source created with the NCI Metathesaurus. A separate ontology of cancer specific concepts is used to structure the domain knowledge needed for evaluation of the student’s input including co-reference resolution. As part of the early evaluation of the system, we collected data from 4 pathology residents who typed in their reports without the tutoring aspects of the system, and compared responses to an expert dermatopathologist. We analyzed the resulting reports to (1) identify the error rates and distribution among student reports, (2) determine the performance of the system in identifying features within student reports, and (3) measure the accuracy of the system in distinguishing between correct and incorrect report elements. PMID:16779024

  15. Practical and generalizable architecture for an intelligent tutoring system

    Science.gov (United States)

    Kaplan, Randy M.; Trenholm, Harriet

    1993-03-01

    In this paper we describe an intelligent tutoring system (ITS) called HYDRIVE (hydraulics interactive video experience). This system is built using several novel approaches to intelligent tutoring. The underlying rationale for HYDRIVE is based on the results of a cognitive task analysis. The reasoning component of the system makes extensive use of a hierarchical knowledge representation. Reasoning within the system is accomplished using a logic-based approach and is linked to a highly interactive interface using multimedia. The knowledge representation contains information that drives the multimedia elements of the system, and the reasoning components select the appropriate information to assess student knowledge or guide the student at any particular moment. As this system will be deployed throughout the Air Force maintenance function, the implementation platform is the IBM PC.

  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. An intelligent tutoring system for the teaching of the nuclear industry equipment and systems

    International Nuclear Information System (INIS)

    Hardy, Lidia L. Elias; Prieto, Jose M. Yunez

    1995-01-01

    This paper shows a model of Intelligent Tutoring System oriented to train on functioning and operation of industrial equipment. The objective of this system is to create a specific Intelligent Tutor to be used in training of NPP's operators. Written in C ++ v 3.1, the system uses the OOP facilities, mainly the inheritance and polymorphism. Data structures able to organize the expert's knowledge and others which allow to make a distribution of tutoring knowledge were designed. Based on these structures, the algorithms able to solve the problem of the analysis of the learner's answers, allowing the detection and correction of errors, and the algorithms, which the system can present the appropriate task for the learner in accordance to their knowledge in each moment, were elaborated. Control strategies applied on the learning management model were defined to allow the introduction of the strategies on the Learning Process. The paper reports this ITS as an example of Intelligent Tutoring on functioning and operation of the pressurizer for NPP with PWR reactor type WWER 440. (author). 8 refs, 6 figs

  18. Network tutoring strategy model based on multi-agent plan

    Science.gov (United States)

    Wang, Jianhua

    2012-01-01

    Network tutoring system is currently a popular research subject in the world. And with the development of artificial intelligence technology, the intelligent tutoring strategy theory has been improved a lot. This paper makes use of the theory of multi-agent plan to develop the model of network tutoring strategic decision-making system, and improves the efficiency of the decision-making system and the continuity of the system to make decisions by the multi-agent plan. It also coordinates and improves the dynamic timeliness of the decision-making system by the multi-agent, and ensures the decision-making system to obtain the best results in the overall situation.

  19. Intelligent computer-aided training and tutoring

    Science.gov (United States)

    Loftin, R. Bowen; Savely, Robert T.

    1991-01-01

    Specific autonomous training systems based on artificial intelligence technology for use by NASA astronauts, flight controllers, and ground-based support personnel that demonstrate an alternative to current training systems are described. In addition to these specific systems, the evolution of a general architecture for autonomous intelligent training systems that integrates many of the features of traditional training programs with artificial intelligence techniques is presented. These Intelligent Computer-Aided Training (ICAT) systems would provide, for the trainee, much of the same experience that could be gained from the best on-the-job training. By integrating domain expertise with a knowledge of appropriate training methods, an ICAT session should duplicate, as closely as possible, the trainee undergoing on-the-job training in the task environment, benefitting from the full attention of a task expert who is also an expert trainer. Thus, the philosophy of the ICAT system is to emulate the behavior of an experienced individual devoting his full time and attention to the training of a novice - proposing challenging training scenarios, monitoring and evaluating the actions of the trainee, providing meaningful comments in response to trainee errors, responding to trainee requests for information, giving hints (if appropriate), and remembering the strengths and weaknesses displayed by the trainee so that appropriate future exercises can be designed.

  20. Does an intelligent tutor homework system encourage beneficial collaboration?

    Science.gov (United States)

    van de Sande, Brett; Hausmann, Robert

    2008-03-01

    Physics instructors agree that homework assignments are an integral part of physics instruction. When students complete their assignments, we know they may work individually or in small groups. Unfortunately, most computer-based homework systems are structured for individual learners. In particular, these systems only evaluate the final answer, putting pressure on any students working in groups to engage in copying. In contrast, Andes is an intelligent tutor homework helper that requires students to show intermediate steps when solving a problem. Andes has been used successfully by instructors at several colleges and high schools. In order to investigate collaborative versus individual problem solving, we conducted a lab study where we recorded verbal self-explanations and logged solution steps as individuals and student pairs used Andes to solve a set of problems. We found that students working in pairs relied less on the tutor's hints and engaged in collaborative sense-making. Implications for instructional practices are discussed.

  1. 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

  2. Generalized Intelligent Framework for Tutoring (GIFT) Cloud/Virtual Open Campus Quick-Start Guide

    Science.gov (United States)

    2016-03-01

    The GIFT Account allows users to log into GIFT Cloud , manage their personal storage in GIFT Cloud , download GIFT Local, and access resources...ARL-CR-0796 ● MAR 2016 US Army Research Laboratory Generalized Intelligent Framework for Tutoring (GIFT) Cloud / Virtual Open...originator. ARL-CR-0796 ● MAR 2016 US Army Research Laboratory Generalized Intelligent Framework for Tutoring (GIFT) Cloud / Virtual

  3. How to Build Bridges between Intelligent Tutoring System Subfields of Research

    Science.gov (United States)

    Pavlik, Philip, Jr.; Toth, Joe

    2010-01-01

    The plethora of different subfields in intelligent tutoring systems (ITS) are often difficult to integrate theoretically when analyzing how to design an intelligent tutor. Important principles of design are claimed by many subfields, including but not limited to: design, human-computer interaction, perceptual psychology, cognitive psychology,…

  4. Microcomputer Intelligence for Technical Training (MITT): The evolution of an intelligent tutoring system

    Science.gov (United States)

    Norton, Jeffrey E.; Wiederholt, Bradley J.; Johnson, William B.

    1990-01-01

    Microcomputer Intelligence for Technical Training (MITT) uses Intelligent Tutoring System (OTS) technology to deliver diagnostic training in a variety of complex technical domains. Over the past six years, MITT technology has been used to develop training systems for nuclear power plant diesel generator diagnosis, Space Shuttle fuel cell diagnosis, and message processing diagnosis for the Minuteman missile. Presented here is an overview of the MITT system, describing the evolution of the MITT software and the benefits of using the MITT system.

  5. LEARNING STYLES BASED ADAPTIVE INTELLIGENT TUTORING SYSTEMS: DOCUMENT ANALYSIS OF ARTICLES PUBLISHED BETWEEN 2001. AND 2016.

    Directory of Open Access Journals (Sweden)

    Amit Kumar

    2017-12-01

    Full Text Available Actualizing instructional intercessions to suit learner contrasts has gotten extensive consideration. Among these individual contrast factors, the observational confirmation in regards to the academic benefit of learning styles has been addressed, yet the examination on the issue proceeds. Late improvements in web-based executions have driven researchers to re-examine the learning styles in adaptive tutoring frameworks. Adaptivity in intelligent tutoring systems is strongly influenced by the learning style of a learner. This study involved extensive document analysis of adaptive tutoring systems based on learning styles. Seventy-eight studies in literature from 2001 to 2016 were collected and classified under select parameters such as main focus, purpose, research types, methods, types and levels of participants, field/area of application, learner modelling, data gathering tools used and research findings. The current studies reveal that majority of the studies defined a framework or architecture of adaptive intelligent tutoring system (AITS while others focused on impact of AITS on learner satisfaction and academic outcomes. Currents trends, gaps in literature and ications were discussed.

  6. An intelligent tutor to learn the evaluation of microcontroller I/O programming expressions

    NARCIS (Netherlands)

    Arends, Hugo; Heeren, B.J.; Keuning, H.W.; Jeuring, J.T.

    2017-01-01

    Embedded systems engineers need to learn how I/O programming expressions for microcontrollers evaluate. We designed, implemented, and tested an intelligent tutoring system prototype for learning such evaluations. The Microcontroller Knowledge (MicK) tutor guides a student step-by-step towards a

  7. Working with Pedagogical Agents: Understanding the "Back End" of an Intelligent Tutoring System

    Science.gov (United States)

    Wolfe, Christopher; Widmer, Colin L.; Weil, Audrey M.; Cedillos-Whynott, Elizabeth M.

    2015-01-01

    Students in an undergraduate psychology course on Learning and Cognition used SKO (formerly AutoTutor Lite), an Intelligent Tutoring System, to create interactive lessons in which a pedagogic agent (animated avatar) engages users in a tutorial dialogue. After briefly describing the technology and underlying psychological theory, data from an…

  8. Developing an Intelligent Tutoring System That Has Automatically Generated Hints and Summarization for Algebra and Geometry

    Science.gov (United States)

    Li, Yatao; Zhao, Ke; Xu, Wei

    2015-01-01

    Intelligent tutoring systems (ITSs), which provide step-by-step guidance to students in problem-solving activities, have been shown to enhance student learning in a range of domains. However, they tend to be pre-established and cannot supply the tutoring function immediately from the diverse mathematical questions. The MITSAS (multiagent…

  9. What do Sharable Instructional Objects Have to do With Intelligent Tutoring Systems, and Vice Versa?

    National Research Council Canada - National Science Library

    Fletcher, J

    2001-01-01

    By reviewing data on classroom and tutorial instruction, this document presents a perspective on the value ot technology-based instruction in general and intelligent tutoring systems (ITSs) in particular...

  10. An Embedded Training Solution: FBCB2/Tactical Decision Making Intelligent Tutoring System

    National Research Council Canada - National Science Library

    Stottler, Richard H; Pike, Bill

    2005-01-01

    We are developing for STRICOM an Intelligent Tutoring System (ITS) for tank and mechanized infantry company commanders that teaches tactical decision making and the tactical use of FBCB2, a C4I system...

  11. Assessment of Intelligent Tutoring Systems Technologies and Opportunities (Evaluation et opportunites des technologies des systemes de tutorat intelligents)

    Science.gov (United States)

    2018-01-01

    other tutoring systems. Educational Psychologist , 46:4, 197-221. [5] Kulik, J.A., and Fletcher, J.D. (2016). Effectiveness of Intelligent Tutoring...waiting for others to learn what is being taught. This problem was noted in 1906 by the psychologist E.L. Thorndike [2], who wrote that: “The...research on the adaptation of instruction to student characteristics. Educational Psychologist , 24, 213-227. [4] Tobias, S. (2003). Extending Snow’s

  12. 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…

  13. Adaptive Intelligent Support to Improve Peer Tutoring in Algebra

    Science.gov (United States)

    Walker, Erin; Rummel, Nikol; Koedinger, Kenneth R.

    2014-01-01

    Adaptive collaborative learning support (ACLS) involves collaborative learning environments that adapt their characteristics, and sometimes provide intelligent hints and feedback, to improve individual students' collaborative interactions. ACLS often involves a system that can automatically assess student dialogue, model effective and…

  14. 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.

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

    Science.gov (United States)

    2010-05-01

    have evolved into a myriad of methodologies to satisfy such needs. Adaptive learning and intelligent tutoring technologies are two such methodologies ...styles in education and training principles, and methodologies of implementations in learning environments, particularly in distance/e-learning...related to the topic of learning, such as cognitive psychology, educational psychology, personality psychology, psychoanalysis , neuropsychology, and

  16. 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

  17. 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

  18. A Fuzzy Student Modeling with Two Intelligent Agents.

    Science.gov (United States)

    Huang, Mu-Jung

    1999-01-01

    A new fuzzy student modeling method with two intelligent agents, a diagnosis agent and a learning agent, are suggested by this article for several aspects of student modeling in Intelligent Tutoring Systems. Also integrated are fuzzy theories and Fuzzy-Hasse diagrams for student modeling. (Author/AEF)

  19. 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…

  20. Deductive Error Diagnosis and Inductive Error Generalization for Intelligent Tutoring Systems.

    Science.gov (United States)

    Hoppe, H. Ulrich

    1994-01-01

    Examines the deductive approach to error diagnosis for intelligent tutoring systems. Topics covered include the principles of the deductive approach to diagnosis; domain-specific heuristics to solve the problem of generalizing error patterns; and deductive diagnosis and the hypertext-based learning environment. (Contains 26 references.) (JLB)

  1. 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…

  2. Designing a Web-Based Distance Learning Environment Based on an Intelligent Tutoring System.

    Science.gov (United States)

    Zolti, Codrin; Voinea, Lucian; Dima, Gabriel; Miu, Ion; Profirescu, Marcel

    This paper describes a distributed approach toward designing an Intelligent Tutoring System for the World Wide Web (WWW) at the University "Politehnica" of Bucharest (Romania). This approach was implemented in the EDIT Learning Environment and is defined by the following features: a WWW dedicated architecture, a distributed way of…

  3. 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…

  4. A Case-Based Reasoning Approach to Internet Intelligent Tutoring System (ITS) Authoring

    National Research Council Canada - National Science Library

    Stottler, Richard

    1998-01-01

    Report developed under SBIR contract. Intelligent tutoring systems (lTSs) have shown great promise in a variety of training domains and can achieve many of the same benefits as one-on-one instruction, in a cost-effective manner...

  5. Implementation of an Intelligent Tutoring System for Online Homework Support in an Efficacy Trial

    Science.gov (United States)

    Feng, Mingyu; Roschelle, Jeremy; Heffernan, Neil; Fairman, Janet; Murphy, Robert

    2014-01-01

    Much research has been done on the development of an intelligent tutoring system (ITS), and small empirical studies have demonstrated the effectiveness of ITS at promoting student learning. However, large-scale implementation of ITS in school settings has not been researched thoroughly. In this paper, we describe an ongoing randomized controlled…

  6. Identifying Students' Characteristic Learning Behaviors in an Intelligent Tutoring System Fostering Self-Regulated Learning

    Science.gov (United States)

    Bouchet, Francois; Azevedo, Roger; Kinnebrew, John S.; Biswas, Gautam

    2012-01-01

    Identification of student learning behaviors, especially those that characterize or distinguish students, can yield important insights for the design of adaptation and feedback mechanisms in Intelligent Tutoring Systems (ITS). In this paper, we analyze trace data to identify distinguishing patterns of behavior in a study of 51 college students…

  7. Polite Web-Based Intelligent Tutors: Can They Improve Learning in Classrooms?

    Science.gov (United States)

    McLaren, Bruce M.; DeLeeuw, Krista E.; Mayer, Richard E.

    2011-01-01

    Should an intelligent software tutor be polite, in an effort to motivate and cajole students to learn, or should it use more direct language? If it should be polite, under what conditions? In a series of studies in different contexts (e.g., lab versus classroom) with a variety of students (e.g., low prior knowledge versus high prior knowledge),…

  8. Use of Intelligent Tutor in Post-Secondary Mathematics Education in the United Arab Emirates

    Science.gov (United States)

    Dani, Anita; Nasser, Ramzi

    2016-01-01

    The purpose of this paper is to determine potential identifiers of students' academic success in foundation mathematics course from the data logs of the intelligent tutor Assessment for Learning using Knowledge Spaces (ALEKS). A cross-sectional study design was used. A sample of 152 records, which accounts to approximately 60% of the population,…

  9. 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…

  10. 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.

  11. An Intelligent Tutoring System for Nondestructive Testing Training

    International Nuclear Information System (INIS)

    Kim, J. K.; Koh, S. N.; Kim, M. K.; Shim, Y. J.

    1998-01-01

    This paper is written to introduce a multimedia tutoring system for nondestructive testing using personal computer. Nondestructive testing, one of the chief methods for inspecting welds and many other components, is very difficult for the NDT inspectors to understand its technical basis without a wide experience. And it is necessary for considerable repeated education and training for keeping their knowledge. The tutoring system that can simulate NDT works is suggested to solve the above problem based on reasonable condition. The tutoring system shows basic theories of nondestructive testing in a book-style with video images and hyper-links, and it offers practices, in which users can simulate the testing equipment. The book-style and simulation practices provide effective and individual environments for learning nondestructive testing

  12. 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…

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

    OpenAIRE

    Dwi Mei Heni

    2014-01-01

    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 ...

  14. 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

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

    Science.gov (United States)

    2017-02-01

    population standard deviation (Glass et al., 1981). Meta-analysts estimate the population means and standard deviations from sample statistics ...generally believed to boost examination scores by 0.3 standard deviations over usual levels, or from the 50th to the 62nd percentile. ITSs are thought...to be more effective, raising test performance by about 1 standard deviation , or from the 50th to the 84th percentile. Human tutors are thought to

  16. Intelligent Tutoring Systems for Procedural Task Training of Remote Payload Operations at NASA

    Science.gov (United States)

    Ong, James; Noneman, Steven

    2000-01-01

    Intelligent Tutoring Systems (ITSs) encode and apply the subject matter and teaching expertise of experienced instructors to provide students with individualized instruction automatically. ITSs complement training simulators by providing automated instruction when it is not economical or feasible to dedicate an instructor to each student during training simulations. Despite their proven training effectiveness and favorable operating cost, however, relatively few ITSs are in use. This is largely because it is usually costly and difficult to encode the task knowledge used by the ITS to evaluate the student's actions and assess the student's performance. Procedural tasks are tasks for which there exist procedures, guidelines, and strategies that determine the correct set of steps to be taken within each situation. To lower the cost and difficulty of creating tutoring systems for procedural task training, Stottler Henke Associates, Inc. (SHAI) worked closely with the Operations Training Group at NASA's Marshall Space Flight Center to develop the Task Tutor Toolkit (T (exp 3)), a generic tutoring system shell and scenario authoring tool. The Task Tutor Toolkit employs a case-based reasoning approach where the instructor creates a procedure template that specifies the range of student actions that are "correct" within each scenario. Because each procedure template is specific to a single scenario, the system can employ relatively simple reasoning methods to represent a correct set of actions and assess student performance. This simplicity enables a non-programmer to specify task knowledge quickly and easily by via graphical user interface, using a "demonstrate, generalize, and annotate" paradigm, that recognizes the range of possible valid actions and infers principles understood (or misunderstood) by the student when those actions are carried out. The Task Tutor Toolkit was also designed to be modular and general, so that it can be interfaced with a wide range of

  17. An intelligent tutoring system for the investigation of high performance skill acquisition

    Science.gov (United States)

    Fink, Pamela K.; Herren, L. Tandy; Regian, J. Wesley

    1991-01-01

    The issue of training high performance skills is of increasing concern. These skills include tasks such as driving a car, playing the piano, and flying an aircraft. Traditionally, the training of high performance skills has been accomplished through the use of expensive, high-fidelity, 3-D simulators, and/or on-the-job training using the actual equipment. Such an approach to training is quite expensive. The design, implementation, and deployment of an intelligent tutoring system developed for the purpose of studying the effectiveness of skill acquisition using lower-cost, lower-physical-fidelity, 2-D simulation. Preliminary experimental results are quite encouraging, indicating that intelligent tutoring systems are a cost-effective means of training high performance skills.

  18. Effect of a limited-enforcement intelligent tutoring system in dermatopathology on student errors, goals and solution paths.

    Science.gov (United States)

    Payne, Velma L; Medvedeva, Olga; Legowski, Elizabeth; Castine, Melissa; Tseytlin, Eugene; Jukic, Drazen; Crowley, Rebecca S

    2009-11-01

    Determine effects of a limited-enforcement intelligent tutoring system in dermatopathology on student errors, goals and solution paths. Determine if limited enforcement in a medical tutoring system inhibits students from learning the optimal and most efficient solution path. Describe the type of deviations from the optimal solution path that occur during tutoring, and how these deviations change over time. Determine if the size of the problem-space (domain scope), has an effect on learning gains when using a tutor with limited enforcement. Analyzed data mined from 44 pathology residents using SlideTutor-a Medical Intelligent Tutoring System in Dermatopathology that teaches histopathologic diagnosis and reporting skills based on commonly used diagnostic algorithms. Two subdomains were included in the study representing sub-algorithms of different sizes and complexities. Effects of the tutoring system on student errors, goal states and solution paths were determined. Students gradually increase the frequency of steps that match the tutoring system's expectation of expert performance. Frequency of errors gradually declines in all categories of error significance. Student performance frequently differs from the tutor-defined optimal path. However, as students continue to be tutored, they approach the optimal solution path. Performance in both subdomains was similar for both errors and goal differences. However, the rate at which students progress toward the optimal solution path differs between the two domains. Tutoring in superficial perivascular dermatitis, the larger and more complex domain was associated with a slower rate of approximation towards the optimal solution path. Students benefit from a limited-enforcement tutoring system that leverages diagnostic algorithms but does not prevent alternative strategies. Even with limited enforcement, students converge toward the optimal solution path.

  19. 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.

  20. 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

  1. 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.

  2. The Role of Peer Tutoring: Steps to Describing a Three-Dimensional Model.

    Science.gov (United States)

    Davis, Kevin

    A comprehensive, three-dimensional model of peer tutoring, constructed by gathering current theories and research and locating them on a dynamic continuum of the tutoring process, allows researchers to break new ground in tutor research and might eventually offer a new heuristic for training peer tutors. The first axis in the model, the focus…

  3. Towards a sustainable volunteer mobile, online tutoring model for mathematics

    CSIR Research Space (South Africa)

    Butgereit, L

    2012-05-01

    Full Text Available is the phenomenon of people volunteering their services and expertise via the Internet. This paper describes work towards a sustainable model of sourcing volunteers for a mobile, online tutoring environment. This is a work in progress....

  4. 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…

  5. 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.

  6. A STUDENT MODEL AND LEARNING ALGORITHM FOR THE EXPERT TUTORING SYSTEM OF POLISH GRAMMAR

    Directory of Open Access Journals (Sweden)

    Kostikov Mykola

    2014-11-01

    Full Text Available When creating computer-assisted language learning software, it is necessary to use the potential of information technology in controlling the learning process fully. Modern intelligent tutoring systems help to make this process adaptive and personalized thanks to modeling the domain and students’ knowledge. The aim of the paper is to investigate possibilities for applying these methods in teaching Polish grammar in Ukraine taking into account its specifics. The article is concerned with the approaches of using student models in modern intelligent tutoring systems in order to provide personalized learning. A structure of the student model and a general working algorithm of the expert tutoring system of Polish grammar have been developed. The modeling of knowing and forgetting particular learning elements within the probabilistic (stochastic model has been studied, as well as the prognostication of future probabilities of students’ knowledge, taking into account their individual forgetting rates. The objective function of instruction quality with allowance for frequency of grammar rules within a certain amount of words being learned and their connections to another rules has been formulated. The problem of generating the next learning step taking into account the need for mastering previous, connected rules has been studied, as well as determining the optimal time period between the lessons depending on the current knowledge level.

  7. 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.

  8. Expert systems intelligent tutoring systems and the power industry: A future scenario

    International Nuclear Information System (INIS)

    Bloom, C.P.; Bullemer, P.T.; Cochran, E.L.

    1990-01-01

    One use to which fielded expert systems have been put is the training of less experienced personnel. However, since expert systems are not developed for the purpose of training, their knowledge contains gaps, particularly in the areas of explanation and reasoning-essential components of expertise. The incidental learning that results from interacting with an expert system produces a memorization of the expert system's procedures without an understanding of the logic behind those procedures. Although learning without comprehension can provide adequate task performance, it affords inadequate transfer or generalization of knowledge, producing task-specific learning. In other words, the expert system user performs the task like an expert, but has not really become an expert. To become an expert, specialized training is required. This training could be provided by professional educators, or, in the future, by artificial intelligence programs, called intelligent tutoring systems, specifically designed for training

  9. Language Analysis and Generation in Algebra Tutorial Dialogues for Language-Based Intelligent Tutoring Systems

    National Research Council Canada - National Science Library

    Kim, Jung

    2004-01-01

    The North Carolina A&T State University algebra tutoring dialogue project collects and analyzes algebra tutoring dialogues with the aim of describing tutoring strategies and language with enough rigor that they may...

  10. Proceedings of the Air Force Forum for Intelligent Tutoring Systems

    Science.gov (United States)

    1989-04-01

    align with the student models. The space of student models Is shown in the same format as Figure 3.2; but the cells are filled with the names of the...infection was acquired while the patient was hospitalized, and (2) the white blood cell count is less than 2.5 thousand, then (a) there is strong...possible combination of points in this N-dimensional hyperspace . A more realistic view is to admit that there is a class of interfaces that are appropriate

  11. 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…

  12. A Solution-Based Intelligent Tutoring System Integrated with an Online Game-Based Formative Assessment: Development and Evaluation

    Science.gov (United States)

    Hooshyar, Danial; Ahmad, Rodina Binti; Yousefi, Moslem; Fathi, Moein; Abdollahi, Abbas; Horng, Shi-Jinn; Lim, Heuiseok

    2016-01-01

    Nowadays, intelligent tutoring systems are considered an effective research tool for learning systems and problem-solving skill improvement. Nonetheless, such individualized systems may cause students to lose learning motivation when interaction and timely guidance are lacking. In order to address this problem, a solution-based intelligent…

  13. 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…

  14. THE EFFECT OF AN INTELLIGENT TUTORING SYSTEM (ITS ON STUDENT ACHIEVEMENT IN ALGEBRAIC EXPRESSION

    Directory of Open Access Journals (Sweden)

    Tsai Chen Chien

    2008-07-01

    Full Text Available 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 learning environment, while the other group of 30 students was in a CAI and ITS (CAI+ITS environment. Before the experimental treatment began, subjects were given a pre-test on algebraic expression. A post-test was also given at the end of the study. The experimental treatment was administered in eight sessions with one hour per session. For the first stage of the study, both groups of subjects studied algebraic expression in a CAI environment. In the second stage, subjects from the CAI group continued with a tutoring session using the drill and practice section of the CAI package, whereas subjects from the CAI+ITS environment continued their learning using the ITS tutorial. The results of the study showed that there was a significant difference in the students’ achievement in algebraic expression between students who learned with CAI+ITS and who learned with CAI only as the delivery system. The findings of the study indicated that CAI+ITS was more effective in helping students learn algebraic expression as compared to using CAI alone. This study suggests that educators and software developers should focus on the development of ITS based learning tools or integrate ITS elements in courseware development rather than developing a mere CAI tool.

  15. A Natural Language Intelligent Tutoring System for Training Pathologists - Implementation and Evaluation

    Science.gov (United States)

    El Saadawi, Gilan M.; Tseytlin, Eugene; Legowski, Elizabeth; Jukic, Drazen; Castine, Melissa; Fine, Jeffrey; Gormley, Robert; Crowley, Rebecca S.

    2009-01-01

    Introduction We developed and evaluated a Natural Language Interface (NLI) for an Intelligent Tutoring System (ITS) in Diagnostic Pathology. The system teaches residents to examine pathologic slides and write accurate pathology reports while providing immediate feedback on errors they make in their slide review and diagnostic reports. Residents can ask for help at any point in the case, and will receive context-specific feedback. Research Questions We evaluated (1) the performance of our natural language system, (2) the effect of the system on learning (3) the effect of feedback timing on learning gains and (4) the effect of ReportTutor on performance to self-assessment correlations. Methods The study uses a crossover 2×2 factorial design. We recruited 20 subjects from 4 academic programs. Subjects were randomly assigned to one of the four conditions - two conditions for the immediate interface, and two for the delayed interface. An expert dermatopathologist created a reference standard and 2 board certified AP/CP pathology fellows manually coded the residents' assessment reports. Subjects were given the opportunity to self grade their performance and we used a survey to determine student response to both interfaces. Results Our results show a highly significant improvement in report writing after one tutoring session with 4-fold increase in the learning gains with both interfaces but no effect of feedback timing on performance gains. Residents who used the immediate feedback interface first experienced a feature learning gain that is correlated with the number of cases they viewed. There was no correlation between performance and self-assessment in either condition. PMID:17934789

  16. Towards a Brain-Sensitive Intelligent Tutoring System: Detecting Emotions from Brainwaves

    Directory of Open Access Journals (Sweden)

    Alicia Heraz

    2011-01-01

    Full Text Available This paper proposes and evaluates a multiagents system called NORA that predicts emotional attributes from learners' brainwaves within an intelligent tutoring system. The measurements from the electrical brain activity of the learner are combined with information about the learner's emotional attributes. Electroencephalogram was used to measure brainwaves and self-reports to measure the three emotional dimensions: pleasure, arousal, and dominance, the eight emotions occurring during learning: anger, boredom, confusion, contempt curious, disgust, eureka, and frustration, and the emotional valence positive for learning and negative for learning. The system is evaluated on natural data, and it achieves an accuracy of over 63%, significantly outperforming classification using the individual modalities and several other combination schemes.

  17. What’s about Peer Tutoring Learning Model?

    Science.gov (United States)

    Muthma'innah, M.

    2017-09-01

    Mathematics learning outcomes in Indonesia in general is still far from satisfactory. One effort that could be expected to solve the problem is to apply the model of peer tutoring learning in mathematics. This study aims to determine whether the results of students’ mathematics learning can be enhanced through peer tutoring learning models. This type of research is the study of literature, so that the method used is to summarize and analyze the results of relevant research that has been done. Peer tutoring learning model is a model of learning in which students learn in small groups that are grouped with different ability levels, all group members to work together and help each other to understand the material. By paying attention to the syntax of the learning, then learning will be invaluable peer tutoring for students who served as teachers and students are taught. In mathematics, the implementation of this learning model can make students understand each other mathematical concepts and help students in solving mathematical problems that are poorly understood, due to the interaction between students in learning. Then it will be able to improve learning outcomes in mathematics. The impact, it can be applied in mathematics learning.

  18. Modelling intelligent behavior

    Science.gov (United States)

    Green, H. S.; Triffet, T.

    1993-01-01

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

  19. 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…

  20. The Effect of Positive Feedback in a Constraint-Based Intelligent Tutoring System

    Science.gov (United States)

    Mitrovic, Antonija; Ohlsson, Stellan; Barrow, Devon K.

    2013-01-01

    Tutoring technologies for supporting learning from errors via negative feedback are highly developed and have proven their worth in empirical evaluations. However, observations of empirical tutoring dialogs highlight the importance of positive feedback in the practice of expert tutoring. We hypothesize that positive feedback works by reducing…

  1. 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.

  2. Ontology-Navigated Tutoring System for Flipped-Mastery Model

    OpenAIRE

    Masao Okabe

    2016-01-01

    Nowadays, in Japan, variety of students get into a university and one of the main roles of introductory courses for freshmen is to make such students well prepared for subsequent intermediate courses. For that purpose, the flipped-mastery model is not enough because videos usually used in a flipped classroom is not adaptive and does not fit all freshmen with different academic performances. This paper proposes an ontology-navigated tutoring system called EduGraph. Using EduGraph, students can...

  3. 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.

  4. An Intelligent Tutoring System (ITS) for Operating Training of ROCSAT TT&C Groung Station

    Science.gov (United States)

    Shr, Arthur M. D.; Miau, Jiun Jih

    2000-07-01

    ROCS AT-1 is the first small satellite developed by the Republic of China and is a lowearth orbit experimental satellite. The goal of ROCSAT-1 is to carry out scientific research missions. To successfully accomplish ROCSAT missions, the ROCSAT Mission Operations Team (RMOT) is formed to handle the daily operation and maintenance activities. These activities are onerous and complex. Hence, RMOT is concerned with future personnel training. In this paper, we propose an Intelligent Tutoring System (ITS) which is capable of integrating the training courses into a software program. ITS uses a great amount of information to present a subject for a user to learn. In the process of teaching, an ITS is capable of presenting the course materials in a structured format to the user and to judge if the user has mastered the subject or not. ITS is the tool to integrate the RMOT training courses and to develop a multi-function computer-assisted instruction (CAI) system. It can not only provide a practical method for users recurrently, but also make self-teaching easily.

  5. 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…

  6. 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…

  7. Integrating a Tutoring Model into the Training of Prospective Computer Science Teachers

    Science.gov (United States)

    Ragonis, Noa; Hazzan, Orit

    2009-01-01

    This paper offers a tutoring model its objective is to develop and establish the pedagogical-disciplinary knowledge of prospective computer science teachers with respect to guiding learners in problem-solving processes. The paper presents the tutoring model and the research that accompanied its implementation. The research findings indicate that…

  8. FlexiTrainer: A Visual Authoring Framework for Case-Based Intelligent Tutoring Systems

    National Research Council Canada - National Science Library

    Ramachandran, Sowmya; Remolina, Emilio; Fu, Daniel

    2006-01-01

    ... (ITS) with flexible pedagogical approaches has led to a demand for authoring tools. The authoring systems developed to date provide a range of options and flexibility, such as authoring simulations, or authoring tutoring strategies...

  9. Development of Angular Motion, Angular Momentum, and Torque Knowledge Bases for an Intelligent Physics Tutoring System

    National Research Council Canada - National Science Library

    Eason, Michael

    1998-01-01

    .... The knowledge base developed in this project provides the physics backbone for the rest of the tutoring system by generating the necessary equations and solution graphs to solve selected angular motion...

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

    Science.gov (United States)

    Tenório, Thyago; Bittencourt, Ig Ibert; Isotani, Seiji; Pedro, Alan; Ospina, Patrícia; Tenório, Daniel

    2017-06-01

    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].

  11. 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].

  12. 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

  13. The Effects of Self-Regulatory Learning through Computer-Assisted Intelligent Tutoring System on the Improvement of EFL Learners' Speaking Ability

    Science.gov (United States)

    Mohammadzadeh, Ahmad; Sarkhosh, Mehdi

    2018-01-01

    The current study attempted to investigate the effects of self-regulatory learning through computer-assisted intelligent tutoring system on the improvement of speaking ability. The participants of the study, who spoke Azeri Turkish as their mother tongue, were students of Applied Linguistics at BA level at Pars Abad's Azad University, Ardebil,…

  14. 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.

  15. Reading Rescue: An Effective Tutoring Intervention Model for Language-Minority Students Who Are Struggling Readers in First Grade

    Science.gov (United States)

    Ehri, Linnea C.; Dreyer, Lois G.; Flugman, Bert; Gross, Alan

    2007-01-01

    The Reading Rescue tutoring intervention model was investigated with 64 low-socioeconomic status, language-minority first graders with reading difficulties. School staff provided tutoring in phonological awareness, systematic phonics, vocabulary, fluency, and reading comprehension. Tutored students made significantly greater gains reading words…

  16. Linguistic Processing in a Mathematics Tutoring System: Cooperative Input Interpretation and Dialogue Modelling

    Science.gov (United States)

    Wolska, Magdalena; Buckley, Mark; Horacek, Helmut; Kruijff-Korbayová, Ivana; Pinkal, Manfred

    Formal domains, such as mathematics, require exact language to communicate the intended content. Special symbolic notations are used to express the semantics precisely, compactly, and unambiguously. Mathematical textbooks offer plenty of examples of concise, accurate presentations. This effective communication is enabled by interleaved use of formulas and natural language. Since natural language interaction has been shown to be an important factor in the efficiency of human tutoring [29], it would be desirable to enhance interaction with Intelligent Tutoring Systems for mathematics by allowing elements of mixed language combining the exactness of formal expressions with natural language flexibility.

  17. A model for peer tutoring in the medical school setting.

    Science.gov (United States)

    Walker-Bartnick, L A; Berger, J H; Kappelman, M M

    1984-04-01

    For the past several years, the University of Maryland School of Medicine has operated a successful and efficient basic science peer tutorial program through the management of the Office of Medical Education. During the 1981-82 and 1982-83 academic years, 122 tutoring dyads were formed to take advantage of the tutoring program in nine of the 10 basic science courses encountered during the first two years of medical training. The success of the program is evident in that tutored students received passing grades in 102 (84 percent) of the courses in which they were tutored. In this paper, the authors discuss the systematic procedure of managing a peer tutorial program and the potential positive effects the program has on student tutors as well as on the medical student in academic difficulty.

  18. 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

    2008-01-01

    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 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. 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. PMID:18400106

  19. Modelling traffic flows with intelligent cars and intelligent roads

    NARCIS (Netherlands)

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

    2003-01-01

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

  20. 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

  1. The effectiveness of argumentation in tutorial dialogues with an Intelligent Tutoring System for genetic risk of breast cancer

    Science.gov (United States)

    Cedillos-Whynott, Elizabeth M.; Wolfe, Christopher R.; Widmer, Colin L.; Brust-Renck, Priscila G.; Weil, Audrey; Reyna, Valerie F.

    2017-01-01

    BRCA Gist is an Intelligent Tutoring System that helps women understand issues related to genetic testing and breast cancer risk. In two laboratory experiments and a field experiment with community and web-based samples, an avatar asked 120 participants to produce arguments for and against genetic testing for breast cancer risk. Two raters assessed the number of argumentation elements (claim, reason, backing, etc.) found in response to prompts soliciting arguments for and against genetic testing for breast cancer risk (IRR=.85). When asked to argue for genetic testing, 53.3 % failed to meet the minimum operational definition of making an argument, a claim supported by one or more reasons. When asked to argue against genetic testing, 59.3 % failed to do so. Of those who failed to generate arguments most simply listed disconnected reasons. However, participants who provided arguments against testing (40.7 %) performed significantly higher on a posttest of declarative knowledge. In each study we found positive correlations between the quality of arguments against genetic testing (i.e., number of argumentation elements) and genetic risk categorization scores. Although most interactions did not contain two or more argument elements, when more elements of arguments were included in the argument against genetic testing interaction, participants had greater learning outcomes. Apparently, many participants lack skills in making coherent arguments. These results suggest an association between argumentation ability (knowing how to make complex arguments) and subsequent learning. Better education in developing arguments may be necessary for people to learn from generating arguments within Intelligent Tutoring Systems and other settings. PMID:26511370

  2. 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 technical clinical skills training is feasible and widely accepted among tutees, provided that the tutors receive sufficient training and supervision.

  3. 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…

  4. La modélisation du tutorat dans les systèmes tutoriels intelligents

    OpenAIRE

    Bourdeau, Jacqueline; Grandbastien, Monique

    2011-01-01

    URL éditeur : http://sticef.univ-lemans.fr/num/vol2011/02-bourdeau-tice/sticef_2011_tice_bourdeau_02p.pdf; National audience; This communication proposes a synthesis on the topic of modeling tutoring knowledge in intelligent tutoring systems. Its origins and challenges are exposed, as well as research results and tendencies. Issues of characterizing tutoring, defining it, identifying sources of knowledge, and modeling techniques are presented and discussed. A description of tutoring functions...

  5. Kolaborasi Model Pembelajaran STAD dengan Tutor Sebaya Untuk Meningkatkan Hasil Belajar Mata Pelajaran Strategi Pemasaran

    Directory of Open Access Journals (Sweden)

    Destri Cahyono

    2015-09-01

    Full Text Available Some of the tenth grade students of PBR at SMK PGRI 2 Malang has a low learning achievement on the subject of Marketing Strategy. One of the solutions to overcome this problem is to use collaborative learning model STAD with Peer Tutor. Aside of using the STAD Model that is conducted by teachers, peers assistance is believed to make the learning process be more effective. This is because students are usually more willing to ask their friends rather than their teachers. The type of this research is classroom action research (CAR. Subjects are the tenth grade students of PBR at SMK PGRI 2 Malang in 2014/2015 academic year. Data collection was done by using tests, observations, field notes, interviews and documentation. The results of the collaborative research that was conducted in the tenth grade students of PBR 2 show that: 1 the implementation of collaborative learning model STAD with Peer Tutor at Marketing Strategy subject in class X PBR SMK PGRI 2 Malang is in accordance with the plan or going well, which is conducted in two cycles. The process of implementing collaborative learning model STAD with Peer Tutor is that after the teacher explains the subject's. Abstrak: Sebagian siswa kelas X PBR di SMK PGRI 2 Malang pada mata pelajaran Strategi Pemasaran memperoleh hasil belajar yang kurang. Salah satu pemecahannya adalah dengan menggunakan kolaborasi Model pembelajaran STAD dengan Tutor Sebaya. Selain menggunakan Model STAD yang dilakukan oleh guru, bantuan teman sebaya dalam pembelajaran akan menjadi lebih efektif. Hal ini dikarenakan, siswa biasanya lebih berani bertanya pada teman dari pada bertanya pada guru. Jenis penelitian ini merupakan penelitian tindakan kelas (PTK. Subyek penelitian adalah siswa kelas X PBR SMK PGRI 2 Malang tahun 2014/2015. Pengumpulan data menggunakan tes, observasi, catatan lapangan, wawancara dan dokumentasi. Hasil penelitian penerapan kolaborasi yang dilakukan di kelas X PBR SMK PGRI 2 Malang menunjukkan bahwa

  6. 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

  7. Preliminary Empirical Model of Crucial Determinants of Best Practice for Peer Tutoring on Academic Achievement

    Science.gov (United States)

    Leung, Kim Chau

    2015-01-01

    Previous meta-analyses of the effects of peer tutoring on academic achievement have been plagued with theoretical and methodological flaws. Specifically, these studies have not adopted both fixed and mixed effects models for analyzing the effect size; they have not evaluated the moderating effect of some commonly used parameters, such as comparing…

  8. Modeling Interactive Intelligences

    Science.gov (United States)

    2002-08-01

    New York: Basic Books, 1999. P. 207-10. [5] Piaget , Jean . Play, Dreams, and Imitation in Childhood. New York: Norton, 1962. [6] Dillard, Annie. Living...concepts of reentry and binding. Next, I rely on Jean Piaget’s model of adaptation in order to examine the function of imitation and play in an...rather than metrics should be used. 2. ADAPTATION, SELECTION, IMITATION, AND PLAY Piaget presented adaptive behavior as a combination of accommodation and

  9. Transparency of Computational Intelligence Models

    Science.gov (United States)

    Owotoki, Peter; Mayer-Lindenberg, Friedrich

    This paper introduces the behaviour of transparency of computational intelligence (CI) models. Transparency reveals to end users the underlying reasoning process of the agent embodying CI models. This is of great benefit in applications (e.g. data mining, entertainment and personal robotics) with humans as end users because it increases their trust in the decisions of the agent and their acceptance of its results. Our integrated approach, wherein rules are just one of other transparency factors (TF), differs from previous related efforts which have focused mostly on generation of comprehensible rules as explanations. Other TF include degree of confidence measure and visualization of principal features. The transparency quotient is introduced as a measure of the transparency of models based on these factors. The transparency enabled generalized exemplar model has been developed to demonstrate the TF and transparency concepts introduced in this paper.

  10. 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.

  11. On-the-Job Training for Novice ESL Writing Tutors: A Practicum Model.

    Science.gov (United States)

    Beebout, Linda

    2003-01-01

    Highlights a practicum course designed to train upper-level undergraduates as English-as-a-Second-Language (ESL) writing tutors for their peers. The course offers tutors intensive, basic training in tutoring, TESL, and pedagogical grammar for 2 weeks before they begin tutoring. (Author/VWL)

  12. Intelligent structural optimization: Concept, Model and Methods

    International Nuclear Information System (INIS)

    Lu, Dagang; Wang, Guangyuan; Peng, Zhang

    2002-01-01

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

  13. Evaluation of an Intelligent Tutoring System in Pathology: Effects of External Representation on Performance Gains, Metacognition, and Acceptance

    Science.gov (United States)

    Crowley, Rebecca S.; Legowski, Elizabeth; Medvedeva, Olga; Tseytlin, Eugene; Roh, Ellen; Jukic, Drazen

    2007-01-01

    Objective Determine effects of computer-based tutoring on diagnostic performance gains, meta-cognition, and acceptance using two different problem representations. Describe impact of tutoring on spectrum of diagnostic skills required for task performance. Identify key features of student-tutor interaction contributing to learning gains. Design Prospective, between-subjects study, controlled for participant level of training. Resident physicians in two academic pathology programs spent four hours using one of two interfaces which differed mainly in external problem representation. The case-focused representation provided an open-learning environment in which students were free to explore evidence-hypothesis relationships within a case, but could not visualize the entire diagnostic space. The knowledge-focused representation provided an interactive representation of the entire diagnostic space, which more tightly constrained student actions. Measurements Metrics included results of pretest, post-test and retention-test for multiple choice and case diagnosis tests, ratios of performance to student reported certainty, results of participant survey, learning curves, and interaction behaviors during tutoring. Results Students had highly significant learning gains after one tutoring session. Learning was retained at one week. There were no differences between the two interfaces in learning gains on post-test or retention test. Only students in the knowledge-focused interface exhibited significant metacognitive gains from pretest to post-test and pretest to retention test. Students rated the knowledge-focused interface significantly higher than the case-focused interface. Conclusions Cognitive tutoring is associated with improved diagnostic performance in a complex medical domain. The effect is retained at one-week post-training. Knowledge-focused external problem representation shows an advantage over case-focused representation for metacognitive effects and user

  14. Applications of Intelligent Tutoring Systems to Human-Robotic Exploration of Mars

    Science.gov (United States)

    Clancey, William J.

    2004-01-01

    Space missions with small crews extending over several years with time-delay preventing normal conversations with people on earth will raise many challenges for training. Of special interest are possible three-year missions to Mars, requiring refresher instruction and learning new skills based on unexpected problems with machines and environmental conditions. For example, the crew will be required to monitor and repair more complex life support systems for air and water recycling than we even know how to build today. Highly educated astronauts, often with several doctorate degrees, require a very different mode of interaction than we have developed for school children or even typical college students. Explanation methods may need to differ-using analogies and techniques from different domains-depending on whether the astronaut is an astrophysicist, a pilot, or a geologist.Virtual reality (e.g., for Hubble repair missions) and "integrated" simulations (involving role-playing and emphasizing failure scenarios) are the most common advanced forms of instruction used in space flight today. The emphasis is on collaborative, embodied interaction with the same workstations and tools used in practice (e.g., a cockpit simulator). Otherwise, computerized instructional technology used by NASA is not model-based or tutorial in nature. This discussion will review some of the key instructional methods used at NASA over the past two decades and consider why ITS methods have not been exploited. Some of the problems and opportunities for training for Mars missions are examined, including how using robots in exploration activities will help but raise new training problems. These ideas will be illustrated with examples from the BrahmsVE system in which a browser- based virtual reality display with avatars allows interacting with a distributed multiagent system, in which agents can be people, robots, or software programs. Using BrahmsVE may provide a way for astronauts to interact with

  15. Innovative integrative bedside teaching model improves tutors' self-assessments of teaching skills and attitudes.

    Science.gov (United States)

    Gat, Itai; Pessach-Gelblum, Liat; Givati, Gili; Haim, Nadav; Paluch-Shimon, Shani; Unterman, Avraham; Bar-Shavit, Yochay; Grabler, Galit; Sagi, Doron; Achiron, Anat; Ziv, Amitai

    2016-01-01

    Patient bedside is the ideal setting for teaching physical examination, medical interviewing, and interpersonal skills. Herein we describe a novel model for bedside teaching (BST) practiced during tutor training workshop and its resulting effect on practitioners' self assessment of teaching skills and perceptions. One-day tutor training workshop included theoretical knowledge supplementation regarding tutors' roles as well as implementing practical tools for clinical education, mainly BST model. The model, which emphasizes simultaneous clinical and communication teaching in a stepwise approach, was practiced by consecutive simulations with a gradual escalation of difficulty and adjusted instruction approaches. Pre- and post-workshop-adjusted questionnaires using a Likert scale of 1 to 4 were completed by participants and compared. Analysis was based on 25 out of 48 participants who completed both questionnaires. Significantly improved teaching skills were demonstrated upon workshop completion (mean 3.3, SD 0.5) compared with pre-training (mean 2.6, SD 0.6; pteaching skills in this challenging environment.

  16. 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.

  17. 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

  18. AutoTutor: a human tutoring simulation with an animated pedagogical interface

    Science.gov (United States)

    Craig, Scotty D.; Hu, Xiangen; Gholson, Barry; Marks, William; Graesser, Arthur C.

    2000-11-01

    This paper presents an overview AutoTutor, an intelligent tutoring system that engages in conversationally smooth dialogue with students. AutoTutor simulates the discourse patterns and dialogue moves of human tutors with modest tutoring expertise. In order to concretize the situation we begin with two short snapshots of AutoTutor in action. In one snapshot, involving an articulate and knowledgeable student, AutoTutor begins with a how question and then simply pumps for further information. In the other, with an inarticulate and less knowledgeable student AutoTutor begins with a why question and follows this with numerous hints and prompts until the topic is covered. The remainder of the paper describes the system's architecture, which is comprised of seven modules: a curriculum script, language extraction, speech act classification, latent semantic analysis, topic selection, dialogue move generation, and animated agent. AutoTutor responds to the learner in real time and runs of a single Pentium processor.

  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

    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...

  20. 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.

  1. Model SH intelligent instrument for thickness measuring

    International Nuclear Information System (INIS)

    Liu Juntao; Jia Weizhuang; Zhao Yunlong

    1995-01-01

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

  2. 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

  3. 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

  4. Organizing knowledge for tutoring fire loss prevention

    Science.gov (United States)

    Schmoldt, Daniel L.

    1989-09-01

    The San Bernardino National Forest in southern California has recently developed a systematic approach to wildfire prevention planning. However, a comprehensive document or other mechanism for teaching this process to other prevention personnel does not exist. An intelligent tutorial expert system is being constructed to provide a means for learning the process and to assist in the creation of specific prevention plans. An intelligent tutoring system (ITS) contains two types of knowledge—domain and tutoring. The domain knowledge for wildfire prevention is structured around several foci: (1) individual concepts used in prevention planning; (2) explicitly specified interrelationships between concepts; (3) deductive methods that contain subjective judgment normally unavailable to less-experienced users; (4) analytical models of fire behavior used for identification of hazard areas; (5) how-to guidance needed for performance of planning tasks; and (6) expository information that provides a rationale for planning steps and ideas. Combining analytical, procedure, inferential, conceptual, and expositional knowledge into a tutoring environment provides the student and/or user with a multiple perspective of the subject matter. A concept network provides a unifying framework for structuring and utilizing these diverse forms of prevention planning knowledge. This network structure borrows from and combines semantic networks and frame-based knowledge representations. The flexibility of this organization facilitates an effective synthesis and organization of multiple knowledge forms.

  5. 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...

  6. Tutoring and Mentoring: An A.R.C. Model for Future Teachers: Affective, Reflexive and Cognitive Orientation to Self-Regulated Learning

    Science.gov (United States)

    Remy, Philippe

    2015-01-01

    With a specific focus on tutoring among future teachers this article proposes a model of self-regulated learning. The focus on different mechanisms inherent to the tutoring relationship will consider Affective impacts or motivation, Reflexive or metacognitive and Cognitive resolutions. The ARC combination proposes that personal skills will be…

  7. A Transitive Model For Artificial Intelligence Applications

    Science.gov (United States)

    Dwyer, John

    1986-03-01

    A wide range of mathematical techniques have been applied to artificial intelligence problems and some techniques have proved more suitable than others for certain types of problem. We formally define a mathematical model which incorporates some of these successful techniques and we discuss its intrinsic properties. Universal applicability of the model is demonstrated through specific applications to problems drawn from rule-based systems, digital hardware design and constraint satisfaction networks. We also give indications of potential applications to other artificial intelligence problems, including knowledge engineering.

  8. Progressions of Qualitative Models as a Foundation for Intelligent Learning Environments

    Science.gov (United States)

    1986-05-01

    J. (1979). Causal and teleological reasoning in circuit recognition. TR-529. MIT’ Artificial Intelligence Laboratory. Cambridge. MA. deler. J. (1995...Soloway. E. (1984). Intention-based diagnosis of progranming errors. In Procedings of the National Conference on Artificial jn~ience. Austin. Texas: NCAI...examples. Cognitive Psychology 17, 26-65. O’Shea, T. (1982). A sell-improving quadratic tutor. in Sleeman. D., & Brown. 3. S. (Eds.). Inteligent Tutoring

  9. 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…

  10. Synchronic tutoring of a virtual community

    NARCIS (Netherlands)

    Simons, P.R.J.; Ligorio, M.B.; Talamo, A.

    2002-01-01

    The role of tutors has changed over time, depending on models of learning and on the technology available. This article discusses the evolution of the tutor role and presents a new model concerning the tutoring functions in a synchronous virtual community. The definition of a virtual community

  11. A Knowledge-Based Tutor for Music Composition. CITE Report No. 16.

    Science.gov (United States)

    Holland, Simon

    The work described here forms part of a project using models of musical ideas within an artificial intelligence and education framework whose goal is to encourage and facilitate music composition by novices. Formal knowledge of the domain (popular music) is too incomplete and fragmented to support a traditional expert-based tutor for precisely…

  12. Carnegie Learning Curricula and Cognitive Tutor[R] Software. What Works Clearinghouse Intervention Report

    Science.gov (United States)

    What Works Clearinghouse, 2010

    2010-01-01

    The combination of "Carnegie Learning Curricula and Cognitive Tutor[R] Software" merges algebra textbooks with interactive software developed around an artificial intelligence model that identifies strengths and weaknesses in an individual student's mastery of mathematical concepts. The software customizes prompts to focus on areas in…

  13. Cognitive Tutor[R] Algebra I. What Works Clearinghouse Intervention Report

    Science.gov (United States)

    What Works Clearinghouse, 2009

    2009-01-01

    The "Cognitive Tutor[R] Algebra I" curriculum, published by Carnegie Learning, is an approach that combines algebra textbooks with interactive software. The software is developed around an artificial intelligence model that identifies strengths and weaknesses in each individual student's mastery of mathematical concepts. It then customizes prompts…

  14. Intelligence and the brain: a model-based approach

    NARCIS (Netherlands)

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

    2012-01-01

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

  15. 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.

  16. 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...

  17. Motivation, Challenges, Support (MCS) Cycle Model for the Development of PBL Tutors

    Science.gov (United States)

    Constantinou, Costas S.; Nicolaou, Stella A.

    2018-01-01

    Problem-Based Learning (PBL) is well known for enhancing students' problem solving skills and teamwork, while the role of PBL tutors is to facilitate discussion rather than teach. This study used four focus groups to explore PBL tutors' motivation, challenges and support mechanisms, and the relationship between these. The study found that there…

  18. Four Classwide Peer Tutoring Models: Similarities, Differences, and Implications for Research and Practice

    Science.gov (United States)

    Maheady, Larry; Mallette, Barbara; Harper, Gregory F.

    2006-01-01

    In this special issue, readers were introduced to three powerful, evidence-based instructional practices that hold great promise for ameliorating many of the reading difficulties encountered by pupils in 21st century classrooms. Peer Assisted Learning Strategies (PALS), ClassWide Peer Tutoring (CWPT), and START tutoring have emerged from over…

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

    Science.gov (United States)

    Pedrazzoli, Attilio

    2010-06-01

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

  20. 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,…

  1. 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.

  2. 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 ...

  3. Sharing the Secret: Peer Tutoring and Independent Learning.

    Science.gov (United States)

    Rafoth, Mary Ann

    1998-01-01

    Describes a model for increasing the impact of peer tutoring beyond the specific subject matter tutored. Peer tutors were taught to also be study-skills coaches, sharing the secrets of learning and studying that allowed them to succeed. They tutored high-risk students during study halls. Evaluation indicated that the study-skills component…

  4. The Development of an Intelligent Leadership Model for State Universities

    OpenAIRE

    Aleme Keikha; Reza Hoveida; Nour Mohammad Yaghoubi

    2017-01-01

    Higher education and intelligent leadership are considered important parts of every country’s education system, which could potentially play a key role in accomplishing the goals of society. In theories of leadership, new patterns attempt to view leadership through the prism of creative and intelligent phenomena. This paper aims to design and develop an intelligent leadership model for public universities. A qualitativequantitative research method was used to design a basic model of intellige...

  5. 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 ?graphs? referred to drawing curves on a set of axes. It did not refer to the higher mathematical concept of ?graph theory?. Subtopics were also defined. These subtopics were parabolas, circles, exponents, functions, hyperbolas, lines, quadratics... where they agree not to discuss any illegal activities with the learners. Tutors also supply copies of identification such as copies of ID books, passports, or driver?s licences. The tutors also sign informed consent documents agreeing...

  6. Top-Down, Intelligent Reservoir Model

    Science.gov (United States)

    Mohaghegh, Shahab

    2010-05-01

    Conventional reservoir simulation and modeling is a bottom-up approach. It starts with building a geological model of the reservoir that is populated with the best available petrophysical and geophysical information at the time of development. Engineering fluid flow principles are added and solved numerically so as to arrive at a dynamic reservoir model. The dynamic reservoir model is calibrated using the production history of multiple wells and the history matched model is used to strategize field development in order to improve recovery. Top-Down, Intelligent Reservoir Modeling approaches the reservoir simulation and modeling from an opposite angle by attempting to build a realization of the reservoir starting with the measured well production behavior (history). The production history is augmented by core, log, well test and seismic data in order to increase the accuracy of the Top-Down modeling technique. Although not intended as a substitute for the conventional reservoir simulation of large, complex fields, this novel approach to reservoir modeling can be used as an alternative (at a fraction of the cost) to conventional reservoir simulation and modeling in cases where performing conventional modeling is cost (and man-power) prohibitive. In cases where a conventional model of a reservoir already exists, Top-Down modeling should be considered as a compliment to, rather than a competition for the conventional technique, to provide an independent look at the data coming from the reservoir/wells for optimum development strategy and recovery enhancement. Top-Down, Intelligent Reservoir Modeling starts with well-known reservoir engineering techniques such as Decline Curve Analysis, Type Curve Matching, History Matching using single well numerical reservoir simulation, Volumetric Reserve Estimation and calculation of Recovery Factors for all the wells (individually) in the field. Using statistical techniques multiple Production Indicators (3, 6, and 9 months cum

  7. 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...... is not yet available. As a firrst step towards such a model, this study investigates to what extent eects of hearing impairment on SI can be modeled in the sEPSM framework. Preliminary results show that, by only modeling the loss of audibility, the model cannot account for the higher speech reception...

  8. Modeling Speech Intelligibility in Hearing Impaired Listeners

    DEFF Research Database (Denmark)

    Scheidiger, Christoph; Jørgensen, Søren; Dau, Torsten

    2014-01-01

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

  9. Model Pembelajaran Berbasis Penstimulasian Multiple Intelligences Siswa

    OpenAIRE

    Edy Legowo

    2017-01-01

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

  10. 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.

  11. Designing Cooperative Learning in the Science Classroom: Integrating the Peer Tutoring Small Investigation Group (PTSIG) within the Model of the Six Mirrors of the Classroom Model

    Science.gov (United States)

    Lazarowitz, Reuven; Hertz-Lazarowitz, Rachel; Khalil, Mahmood; Ron, Salit

    2013-01-01

    The model of the six mirrors of the classroom and its use in teaching biology in a cooperative learning mode were implemented in high school classrooms. In this study we present: a) The model of the six mirrors of the classroom (MSMC). b) Cooperative learning settings: 1. The Group Investigation; 2. The Jigsaw Method; and 3. Peer Tutoring in Small…

  12. Swarm Intelligence for Urban Dynamics Modelling

    Science.gov (United States)

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

    2009-04-01

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

  13. Swarm Intelligence for Urban Dynamics Modelling

    International Nuclear Information System (INIS)

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

    2009-01-01

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

  14. Emotional Intelligence Model for Managers in Mumbai

    OpenAIRE

    Vaibhav P. Birwatkar

    2014-01-01

    Much of the literature pertinent to management indicates that managers with high emotional intelligence are morale boosters in their workplaces. Previous studies offer limited evidence regarding the impact of manager's emotional intelligence on workplace psychology, productivity and job satisfaction. This research examines the awareness level of the concept of emotional intelligence, the emotional intelligence level of managers across the organizations, whether managers use emotional intellig...

  15. Patterns of peer tutoring in nursing.

    Science.gov (United States)

    Blowers, Sally; Ramsey, Priscilla; Merriman, Carolyn; Grooms, Janelle

    2003-05-01

    Peer tutoring in higher education is an effective strategy for promoting academic gains. Within nursing, peer tutoring has been used in the clinical setting, but little information is available regarding its use across the nursing curriculum. A peer tutoring program was created at a regional Appalachian university to meet the needs of students with poor academic backgrounds and multiple risk factors for failure. As the program naturally evolved, students moved beyond the time-honored one-on-one model. Many tutoring patterns developed including dyad, small group, large group, skill based, assignment based, and question based. Qualitative evaluation data from the program revealed that each pattern required different tutor skills, involved varied tutor-tutoree relationships, focused on different outcomes, and had certain advantages and disadvantages. All tutoring patterns contributed to improved academic skills and performance.

  16. Model Pembelajaran Berbasis Penstimulasian Multiple Intelligences Siswa

    Directory of Open Access Journals (Sweden)

    Edy Legowo

    2017-03-01

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

  17. Artificial Intelligence Information Sources for the Beginner and Expert

    Science.gov (United States)

    1991-05-01

    Electronics Engineers) sponsors a number of artificial intelli- gence conferences, including the Conference on Artificial Intelligence Applications and the...Artificial Intelligence and Legal Reasoning Intelligent Tutoring Systems Artificial Intelligence Applications for Nil- Technologies itary Logistics

  18. Toward Intelligent Assessment: An Integration of Constructed Response Testing, Artificial Intelligence, and Model-Based Measurement.

    Science.gov (United States)

    Bennett, Randy Elliot

    A new assessment conception is described that integrates constructed-response testing, artificial intelligence, and model-based measurement. The conception incorporates complex constructed-response items for their potential to increase the validity, instructional utility, and credibility of standardized tests. Artificial intelligence methods are…

  19. 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

  20. 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

  1. An intelligent model for liver disease diagnosis.

    Science.gov (United States)

    Lin, Rong-Ho

    2009-09-01

    Liver disease, the most common disease in Taiwan, is not easily discovered in its initial stage; early diagnosis of this leading cause of mortality is therefore highly important. The design of an effective diagnosis model is therefore an important issue in liver disease treatment. This study accordingly employs classification and regression tree (CART) and case-based reasoning (CBR) techniques to structure an intelligent diagnosis model aiming to provide a comprehensive analytic framework to raise the accuracy of liver disease diagnosis. Based on the advice and assistance of doctors and medical specialists of liver conditions, 510 outpatient visitors using ICD-9 (International Classification of Diseases, 9th Revision) codes at a medical center in Taiwan from 2005 to 2006 were selected as the cases in the data set for liver disease diagnosis. Data on 340 patients was utilized for the development of the model and on 170 patients utilized to perform comparative analysis of the models. This paper accordingly suggests an intelligent model for the diagnosis of liver diseases which integrates CART and CBR. The major steps in applying the model include: (1) adopting CART to diagnose whether a patient suffers from liver disease; (2) for patients diagnosed with liver disease in the first step, employing CBR to diagnose the types of liver diseases. In the first phase, CART is used to extract rules from health examination data to show whether the patient suffers from liver disease. The results indicate that the CART rate of accuracy is 92.94%. In the second phase, CBR is developed to diagnose the type of liver disease, and the new case triggers the CBR system to retrieve the most similar case from the case base in order to support the treatment of liver disease. The new case is supported by a similarity ratio, and the CBR diagnostic accuracy rate is 90.00%. Actual implementation shows that the intelligent diagnosis model is capable of integrating CART and CBR techniques to

  2. Efektivitas Model Pembelajaran Modified Free Inquiry (Mfi) Disertai Peer Tutoring Terhadap Prestasi Belajar Siswa Pada Materi Hidrolisis Garam Siswa Kelas XI Semester Genap SMA N 1 Kartasura Tahun Pelajaran 2013/2014

    OpenAIRE

    Suryanto, Eko; Susanti, Elfi; Saputro, Sulistyo

    2015-01-01

    Penelitian ini bertujuan untuk mengetahui (1) efektivitas penggunaan model pembelajaran Modified Free Inquiry disertai Peer Tutoring terhadap prestasi belajar siswa pada materi hidrolisis garam; (2) efektivitas penggunaan model pembelajaran Modified Free Inquiry terhadap prestasi belajar siswa pada materi hidrolisis garam; (3) efektivitas penggunaan model pembelajaran Modified Free Inquiry disertai Peer Tutoring dan model pembelajaran Modified Free Inquiry terhadap prestasi belajar siswa pada...

  3. 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…

  4. Reading gains for underachieving tutors and tutees in a cross-age tutoring programme.

    Science.gov (United States)

    Limbrick, E; McNaughton, S; Glynn, T

    1985-11-01

    A cross-age peer tutoring programme in reading is described in which three underachieving 10- to 11-year-old students tutored three underachieving 6- to 8-year-old students. The programme, a modification of the 'paired-reading' technique of Morgan and Lyon, involved both concurrent modelling of correct reading and praise for reading independently by peer tutors. When given general instructions to help, tutors did provide some assistance, but specific training was necessary before appropriate tutoring behaviours were used. Both tutees showed marked improvements in oral reading and comprehension on classroom exercises and standardised reading tests.

  5. Web Delivery of Adaptive and Interactive Language Tutoring: Revisited

    Science.gov (United States)

    Heift, Trude

    2016-01-01

    This commentary reconsiders the description and assessment of the design and implementation of "German Tutor," an Intelligent Language Tutoring System (ILTS) for learners of German as a foreign language, published in 2001. Based on our experience over the past 15 years with the design and real classroom use of an ILTS, we address a…

  6. 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…

  7. Artificial intelligence model for sustain ability measurement

    International Nuclear Information System (INIS)

    Navickiene, R.; Navickas, K.

    2012-01-01

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

  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. 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

  10. 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.

  11. 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.

  12. 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.

  13. 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

  14. Fifth Conference on Artificial Intelligence for Space Applications

    Science.gov (United States)

    Odell, Steve L. (Compiler)

    1990-01-01

    The Fifth Conference on Artificial Intelligence for Space Applications brings together diverse technical and scientific work in order to help those who employ AI methods in space applications to identify common goals and to address issues of general interest in the AI community. Topics include the following: automation for Space Station; intelligent control, testing, and fault diagnosis; robotics and vision; planning and scheduling; simulation, modeling, and tutoring; development tools and automatic programming; knowledge representation and acquisition; and knowledge base/data base integration.

  15. 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.

  16. A watershed model of individual differences in fluid intelligence.

    Science.gov (United States)

    Kievit, Rogier A; Davis, Simon W; Griffiths, John; Correia, Marta M; Cam-Can; Henson, Richard N

    2016-10-01

    Fluid intelligence is a crucial cognitive ability that predicts key life outcomes across the lifespan. Strong empirical links exist between fluid intelligence and processing speed on the one hand, and white matter integrity and processing speed on the other. We propose a watershed model that integrates these three explanatory levels in a principled manner in a single statistical model, with processing speed and white matter figuring as intermediate endophenotypes. We fit this model in a large (N=555) adult lifespan cohort from the Cambridge Centre for Ageing and Neuroscience (Cam-CAN) using multiple measures of processing speed, white matter health and fluid intelligence. The model fit the data well, outperforming competing models and providing evidence for a many-to-one mapping between white matter integrity, processing speed and fluid intelligence. The model can be naturally extended to integrate other cognitive domains, endophenotypes and genotypes. Copyright © 2016 The Authors. Published by Elsevier Ltd.. All rights reserved.

  17. Prediction of gas compressibility factor using intelligent models

    Directory of Open Access Journals (Sweden)

    Mohamad Mohamadi-Baghmolaei

    2015-10-01

    Full Text Available The gas compressibility factor, also known as Z-factor, plays the determinative role for obtaining thermodynamic properties of gas reservoir. Typically, empirical correlations have been applied to determine this important property. However, weak performance and some limitations of these correlations have persuaded the researchers to use intelligent models instead. In this work, prediction of Z-factor is aimed using different popular intelligent models in order to find the accurate one. The developed intelligent models are including Artificial Neural Network (ANN, Fuzzy Interface System (FIS and Adaptive Neuro-Fuzzy System (ANFIS. Also optimization of equation of state (EOS by Genetic Algorithm (GA is done as well. The validity of developed intelligent models was tested using 1038 series of published data points in literature. It was observed that the accuracy of intelligent predicting models for Z-factor is significantly better than conventional empirical models. Also, results showed the improvement of optimized EOS predictions when coupled with GA optimization. Moreover, of the three intelligent models, ANN model outperforms other models considering all data and 263 field data points of an Iranian offshore gas condensate with R2 of 0.9999, while the R2 for best empirical correlation was about 0.8334.

  18. Facial Affect Displays during Tutoring Sessions

    NARCIS (Netherlands)

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

    2005-01-01

    An emotionally intelligent tutoring system should be able to provide feedback to students, taking into account relevant aspects of the mental state of the student. Facial expressions, put in context, might provide some cues with respect to this state. We discuss the analysis of the facial expression

  19. 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. .

  20. Model of intelligent information searching system

    International Nuclear Information System (INIS)

    Yastrebkov, D.I.

    2004-01-01

    A brief description of the technique to search for electronic documents in large archives as well as drawbacks is presented. A solution close to intelligent information searching systems is proposed. (author)

  1. 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 ...

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

    Science.gov (United States)

    Meirovich, Adaya; Ber, Rosalie; Moore, Michael; Rotschild, Avi

    2016-01-01

    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. 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. 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 positive talk and between PPOS and three of the RIAS categories: gathering data, psychosocial talk, and patient-centeredness. A significant negative correlation was found in the experimental group between PPOS and two of the RIAS categories: negative talk and doctor-centeredness. Two significant negative correlations were found in the control group: between empathy and patient-centeredness and PPOS and negative talk. The LC approach supports two of the RIAS categories, corresponding

  3. Traditional Tutoring and Peer Tutoring: Ethical Aspects

    Directory of Open Access Journals (Sweden)

    Anna Izabela Brzezińska

    2013-09-01

    Full Text Available The authors of the article indicate a variety of ethical issues concerning the functions of tutoring in education, both the traditional as well as peer tutoring. They claim that, the basic condition for ethical, and yet effective, tutoring relationships lie in the accordance to the concept of self-determination by Deci and Ryan – meeting the basic and universal needs by both partners of this interaction, namely the needs of relatedness and security, autonomy as well as competence. Becoming aware of, and taking into account these aspects may contribute to more effective and more ethical usage of tutoring in educational practice. The authors encourage detecting risk areas and factors in tutoring relationships (e.g. the risk of manipulating one’s partner in order to minimize their impact on the relationship between a tutor and a tutee, which seems beneficial to the development of both parts of tutorial interaction.

  4. 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.

  5. Use of artificial intelligence in supervisory control

    Science.gov (United States)

    Cohen, Aaron; Erickson, Jon D.

    1989-01-01

    Viewgraphs describing the design and testing of an intelligent decision support system called OFMspert are presented. In this expert system, knowledge about the human operator is represented through an operator/system model referred to as the OFM (Operator Function Model). OFMspert uses the blackboard model of problem solving to maintain a dynamic representation of operator goals, plans, tasks, and actions given previous operator actions and current system state. Results of an experiment to assess OFMspert's intent inferencing capability are outlined. Finally, the overall design philosophy for an intelligent tutoring system (OFMTutor) for operators of complex dynamic systems is summarized.

  6. 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

  7. Intelligence.

    Science.gov (United States)

    Sternberg, Robert J

    2012-09-01

    Intelligence is the ability to learn from past experience and, in general, to adapt to, shape, and select environments. Aspects of intelligence are measured by standardized tests of intelligence. Average raw (number-correct) scores on such tests vary across the life span and also across generations, as well as across ethnic and socioeconomic groups. Intelligence can be understood in part in terms of the biology of the brain-especially with regard to the functioning in the prefrontal cortex. Measured values correlate with brain size, at least within humans. The heritability coefficient (ratio of genetic to phenotypic variation) is between 0.4 and 0.8. But genes always express themselves through environment. Heritability varies as a function of a number of factors, including socioeconomic status and range of environments. Racial-group differences in measured intelligence have been reported, but race is a socially constructed rather than biological variable. As a result, these differences are difficult to interpret. Different cultures have different conceptions of the nature of intelligence, and also require different skills in order to express intelligence in the environment. WIREs Cogn Sci 2012 doi: 10.1002/wcs.1193 For further resources related to this article, please visit the WIREs website. Copyright © 2012 John Wiley & Sons, Ltd.

  8. 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...

  9. 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.

  10. 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.

  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. PMID:22162724

  12. 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

  13. Peer Tutoring for Inclusion

    Science.gov (United States)

    Temple, Viviene A.; Lynnes, Michelle D.

    2008-01-01

    Peer tutoring is a pedagogical technique that has promise to improve outcomes for students with a disability within existing resource constraints. Published empirically-based papers on peer-tutoring were descriptively analysed. Synthesis of these studies revealed that peer tutoring is effective in inclusive physical education contexts. Evidence…

  14. A Model for an Intelligent Support Decision System in Aquaculture

    OpenAIRE

    Novac Ududec, Cornelia / C

    2009-01-01

    The paper purpose an intelligent software system agents–based to support decision in aquculture and the approach of fish diagnosis with informatics methods, techniques and solutions. A major purpose is to develop new methods and techniques for quick fish diagnosis, treatment and prophyilaxis at infectious and parasite-based known disorders, that may occur at fishes raised in high density in intensive raising systems. But, the goal of this paper is to presents a model of an intelligent agents-...

  15. Intelligence

    Science.gov (United States)

    Sternberg, Robert J.

    2012-01-01

    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. PMID:22577301

  16. 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.

  17. 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...

  18. Computational Intelligence Agent-Oriented Modelling

    Czech Academy of Sciences Publication Activity Database

    Neruda, Roman

    2006-01-01

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

  19. Widening the Knowledge Acquisition Bottleneck for Constraint-Based Tutors

    Science.gov (United States)

    Suraweera, Pramuditha; Mitrovic, Antonija; Martin, Brent

    2010-01-01

    Intelligent Tutoring Systems (ITS) are effective tools for education. However, developing them is a labour-intensive and time-consuming process. A major share of the effort is devoted to acquiring the domain knowledge that underlies the system's intelligence. The goal of this research is to reduce this knowledge acquisition bottleneck and better…

  20. Using Computers Intelligently in Tertiary Education. A Collection of Papers Presented to the Australian Society for Computers in Learning (Sydney, New South Wales, Australia, November 29-December 3, 1987).

    Science.gov (United States)

    Barrett, John, Ed.; Hedberg, John, Ed.

    The 63 papers in this collection include two keynote addresses: "Patient Simulation Using Interactive Video: An Application" (Joseph V. Henderson), and "Intelligent Tutoring Systems: Practice Opportunities and Explanatory Models" (Alan Lesgold). The remaining papers are grouped under five topics: (1) Artificial Intelligence,…

  1. Intelligent power plant simulator for educational purposes

    International Nuclear Information System (INIS)

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

    2001-01-01

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

  2. 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.

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

    Science.gov (United States)

    Guikema, Seth

    2012-07-01

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

  4. Sustainability Reporting Process Model using Business Intelligence

    OpenAIRE

    Alxneit, Thorsten Julius

    2015-01-01

    Sustainability including the reporting requirements is one of the most relevant topics for companies. In recent years, many software providers have launched new software tools targeting companies committed to implementing sustainability reporting. But it’s not only companies willing to use their Business Intelligence (BI) solution, there are also basic principles such as the single source of truth and tendencies to combine sustainability reporting with the financial reporting (...

  5. 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.

  6. 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.

  7. Peer tutoring among elementary students: educational benefits to the tutor.

    Science.gov (United States)

    Dineen, J P; Clark, H B; Risley, T R

    1977-01-01

    To determine whether tutoring might be academically beneficial to the tutor, this study investigated the acquisition of spelling words by three elementary students in a peer tutoring program. The experimental design allowed a simultaneous comparison of each child's gain in performance on comparable word lists on which the child tutored another child, was tutored by another child, or neither gave nor received tutoring. The children's spelling improved nearly an equivalent amount on those words on which they tutored another child as on the words on which they were tutored; no such change was noted on the words on which they neither gave nor received tutoring. These findings, that peer tutoring is profitable for the tutor as well as the tutee, provide a basis for recommending peer tutoring as one method of individualizing education.

  8. Une architecture générale des systèmes tutoriels intelligents : poster

    OpenAIRE

    Djamen, J.Y.

    1996-01-01

    This article proposes an architecture of an intelligent tutoring system (ITS) described on top of PIF, a theoretical model that integrates three forms of knowledge (namely physical, intentional and functional) both necessary and sufficient to build ITSs. (Résumé d'auteur)

  9. 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…

  10. 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

  11. 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

  12. Intelligent Cloud Learning Model for Online Overseas Chinese Education

    Directory of Open Access Journals (Sweden)

    Yidong Chen

    2015-02-01

    Full Text Available With the development of Chinese economy, oversea Chinese education has been paid more and more attention. However, the overseas Chinese education resource is relatively lack because of historical reasons, which hindered further development . How to better share the Chinese education resources and provide intelligent personalized information service for overseas student is a key problem to be solved. In recent years, the rise of cloud computing provides us an opportunity to realize intelligent learning mode. Cloud computing offers some advantages by allowing users to use infrastructure, platforms and software . In this paper we proposed an intelligent cloud learning model based on cloud computing. The learning model can utilize network resources sufficiently to implement resource sharing according to the personal needs of students, and provide a good practicability for online overseas Chinese education.

  13. 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.

  14. 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.

  15. Artificial intelligence and mathematical models for intelligent management of aircraft data

    OpenAIRE

    knight, Peter Robin

    2012-01-01

    Increasingly, large volumes of aircraft data are being recorded in an effort to adapt aircraft maintenance procedures from being time-based towards condition-based techniques. This study uses techniques of artificial intelligence and develops mathematical models to analyse this data to enable improvements to be made in aircraft management, affordability, availability, airworthiness and performance. In addition, it highlights the need to assess the integrity of data before further analysis and...

  16. Eksperimentasi Model Jigsaw Snowball Drilling dan Peer Tutoring Snowball Drilling pada Materi Pokok Tabung, Kerucut, dan Bola Ditinjau dari Gaya Belajar Siswa

    OpenAIRE

    P, Nelly Indriastuti; Kusmayadi, Tri Atmojo; Usodo, Budi

    2014-01-01

    The aims of this research were to determine: (1) which results better mathematics learning achievement between students who were taught by using jigsaw snowball drilling, peer tutoring snowball drilling, or direct instruction, (2) which has better mathematics learning achievement between students with visual learning styles, auditory, or kinesthetic, (3). at each of the learning model, which one has better mathematics learning achievement between student with visual learning style, auditory, ...

  17. 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.

  18. 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...

  19. 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.

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

    Indian Academy of Sciences (India)

    This study proposes an application of two techniques of artificial intelligence (AI) for rainfall–runoff modeling: the artificial neural networks (ANN) and .... conventional mathematical analysis does not, or cannot, provide analytical solutions, .... very simple where there exist one-to-one relation- ships between the symbols of the ...

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

    Indian Academy of Sciences (India)

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

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

    African Journals Online (AJOL)

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

  3. 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...

  4. Andes: An intelligent homework helper

    Science.gov (United States)

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

    2007-03-01

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

  5. Employing the intelligence cycle process model within the Homeland Security Enterprise

    OpenAIRE

    Stokes, Roger L.

    2013-01-01

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

  6. National Water Model: Providing the Nation with Actionable Water Intelligence

    Science.gov (United States)

    Aggett, G. R.; Bates, B.

    2017-12-01

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

  7. Peer-Tutoring: What's in It for the Tutor?

    Science.gov (United States)

    Galbraith, Jonathan; Winterbottom, Mark

    2011-01-01

    Drawing on role theory and socio-constructivist ideas about learning, this study explores how peer-tutoring can support tutors' learning. The sample comprised ten 16-17-year-old biology tutors, working with twenty-one 14-15-year-old students from a science class over eight weeks. Data were collected through an online wiki, tutor interviews, paired…

  8. Tutoring Large Numbers: An unmet challenge

    Directory of Open Access Journals (Sweden)

    Helen Lentell

    2004-04-01

    Full Text Available Open and distance learning (ODL is increasingly being regarded as a viable policy option for developing countries with limited educational resources for buildings, books and trained teachers, seeking to increase accessibility for large numbers of learners in education and training opportunities. Advocates of ODL as an appropriate solution to development issues tend to emphasise the hardware and software (curricula, materials and media of instruction and delivery, and especially ICTs rather than the learning support needed (See, for example, World Bank, 2002.In one sense this should not be surprising. As Lentell has noted, tutoring has never been at the forefront of mainstream writing on distance education, at least not until fairly recently (Lentell, 2003. However, whilst tutoring might not be central to the writing about ODL in the north, the practice is somewhat different. Tutoring tends to be the less visible element of ODL, but it is no less essential than good materials and effective administration. Distance education cannot exist without tutors who provide feedback and guidance to students. This point is well demonstrated by, for example, the array of institutional handbooks on tutoring produced by distance education universities. In practice, established distance education providers typically invest considerably in tutoring and other forms of learner support (Rumble, 1997. Moreover, and certainly among learner support professionals, there is an implicit “preferred” model. This model assumes a relatively low student-to-tutor ratio, with the tutor offering proactive individual guidance and feedback. Such a model, however, is not easily transferable to a situation where the reasons for adopting distance education are limited numbers of teachers and limited access to educational provision.

  9. 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…

  10. Tutoring and Mentoring

    African Journals Online (AJOL)

    Tutoring and Mentoring. Nelia Frade*. * Dr Nelia Frade is Senior Coordinator: Unit for Tutor Development, Centre for Academic Staff. Development, University of Johannesburg, South Africa. Email: neliaf@uj.ac.za. South African institutions of higher education (HE) have increasingly come under pressure to broaden access ...

  11. 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....

  12. An intelligent diagnosis model based on rough set theory

    Science.gov (United States)

    Li, Ze; Huang, Hong-Xing; Zheng, Ye-Lu; Wang, Zhou-Yuan

    2013-03-01

    Along with the popularity of computer and rapid development of information technology, how to increase the accuracy of the agricultural diagnosis becomes a difficult problem of popularizing the agricultural expert system. Analyzing existing research, baseing on the knowledge acquisition technology of rough set theory, towards great sample data, we put forward a intelligent diagnosis model. Extract rough set decision table from the samples property, use decision table to categorize the inference relation, acquire property rules related to inference diagnosis, through the means of rough set knowledge reasoning algorithm to realize intelligent diagnosis. Finally, we validate this diagnosis model by experiments. Introduce the rough set theory to provide the agricultural expert system of great sample data a effective diagnosis model.

  13. A Cybernetic Model to Enhance Organizational Intelligence

    OpenAIRE

    Schwaninger, Markus

    2003-01-01

    The present paper focuses on the modeling of cognitive processes in organizations. This issue is approached from the perspective of Organizational Cybernetics, the science of control and communication applied to the management of organizations. First, the Team Syntegrity Model is described, which provides a structural architecture for processes of planning, knowledge generation and innovation in turbulent environments. The model is holographic and based on the mathematical structure of polyhe...

  14. 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.

  15. 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.

  16. From Predictive Models to Instructional Policies

    Science.gov (United States)

    Rollinson, Joseph; Brunskill, Emma

    2015-01-01

    At their core, Intelligent Tutoring Systems consist of a student model and a policy. The student model captures the state of the student and the policy uses the student model to individualize instruction. Policies require different properties from the student model. For example, a mastery threshold policy requires the student model to have a way…

  17. 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…

  18. 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…

  19. Adapting Peer Tutoring for Learners Who Are Deaf or Hard of Hearing

    Science.gov (United States)

    Herring-Harrison, Tina J.; Gardner, Ralph; Lovelace, Temple S.

    2007-01-01

    The purpose of this article is to present a classwide peer tutoring (CWPT) model successfully implemented with children who are deaf. Classwide peer tutoring is relatively easy to implement and is both teacher- and student-friendly. A large and growing body of professional literature documents the effectiveness of systematic peer tutoring models.…

  20. 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

  1. Computer assisted tutoring in radiology

    International Nuclear Information System (INIS)

    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

  2. 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

  3. Modeling intelligent agent beliefs in a card game scenario

    Science.gov (United States)

    Gołuński, Marcel; Tomanek, Roman; WÄ siewicz, Piotr

    In this paper we explore the problem of intelligent agent beliefs. We model agent beliefs using multimodal logics of belief, KD45(m) system implemented as a directed graph depicting Kripke semantics, precisely. We present a card game engine application which allows multiple agents to connect to a given game session and play the card game. As an example simplified version of popular Saboteur card game is used. Implementation was done in Java language using following libraries and applications: Apache Mina, LWJGL.

  4. Thermal Models for Intelligent Heating of Buildings

    DEFF Research Database (Denmark)

    Thavlov, Anders; Bindner, Henrik W.

    2012-01-01

    using a grey box approach, i.e. by formulating the model using physical knowledge about heat flow, while the parameters in the model are estimated using collected data and statistics. The physical parameters in the model, e.g. heat capacities and resistances to transfer heat, have been estimated...... share of renewable power generation, which is in general intermittent and non-controllable, the consumption side has to be much more flexible than today. To achieve such flexibility, methods for moving power consumption in time, within the hourly timescale, have to be developed. One approach currently...

  5. Gestion Emotionnelle dans les Systèmes Tuteurs Intelligents

    OpenAIRE

    Faivre, Jessica; Frasson, Claude; Nkambou, Roger

    2002-01-01

    Les actes peuvent être commandés à l'adresse suivante : http://tice2002.insa-lyon.fr/fr/sommaire.html; Our work concerns the improvement of computerbased learning by mean of a lifelike presence in learning environment. Our approach combines Intelligent Tutoring System with research on human emotion in Cognitive Science, Psychology and Communication. According for relations between emotion, cognition and action in contextual learning, we propose an ITS model based on multiagent architecture in...

  6. 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

  7. 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.

  8. 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.

  9. Modeling and Control of Intelligent Flexible Structures

    Science.gov (United States)

    1994-03-26

    Mexico , Feb. 1993. "Model Correction Using Constrained Eigenstructure Assignment,’llth International Modal Analysis Conference, February 1993, Orlando...repeated modes. Assume the firt p modes am repeared with identify the moda paripion tem #i,. a multiplicity of 2 and the remaining modes are distdnct...c"d & Aerosaace En .eer,.ng Saonu Hemck Pmfenor Stuie Uaivers... of.Vew Yore at •wiqalo Depwone of Enpuriwng Science an .Mec, namc qaio..Y ’ 14.60

  10. Modelling fuel cell performance using artificial intelligence

    Energy Technology Data Exchange (ETDEWEB)

    Ogaji, S.O.T.; Singh, R.; Pilidis, P.; Diacakis, M. [Power Propulsion and Aerospace Engineering Department, Centre for Diagnostics and Life Cycle Costs, Cranfield University (United Kingdom)

    2006-03-09

    Over the last few years, fuel cell technology has been increasing promisingly its share in the generation of stationary power. Numerous pilot projects are operating worldwide, continuously increasing the amount of operating hours either as stand-alone devices or as part of gas turbine combined cycles. An essential tool for the adequate and dynamic analysis of such systems is a software model that enables the user to assess a large number of alternative options in the least possible time. On the other hand, the sphere of application of artificial neural networks has widened covering such endeavours of life such as medicine, finance and unsurprisingly engineering (diagnostics of faults in machines). Artificial neural networks have been described as diagrammatic representation of a mathematical equation that receives values (inputs) and gives out results (outputs). Artificial neural networks systems have the capacity to recognise and associate patterns and because of their inherent design features, they can be applied to linear and non-linear problem domains. In this paper, the performance of the fuel cell is modelled using artificial neural networks. The inputs to the network are variables that are critical to the performance of the fuel cell while the outputs are the result of changes in any one or all of the fuel cell design variables, on its performance. Critical parameters for the cell include the geometrical configuration as well as the operating conditions. For the neural network, various network design parameters such as the network size, training algorithm, activation functions and their causes on the effectiveness of the performance modelling are discussed. Results from the analysis as well as the limitations of the approach are presented and discussed. (author)

  11. Modelling fuel cell performance using artificial intelligence

    Science.gov (United States)

    Ogaji, S. O. T.; Singh, R.; Pilidis, P.; Diacakis, M.

    Over the last few years, fuel cell technology has been increasing promisingly its share in the generation of stationary power. Numerous pilot projects are operating worldwide, continuously increasing the amount of operating hours either as stand-alone devices or as part of gas turbine combined cycles. An essential tool for the adequate and dynamic analysis of such systems is a software model that enables the user to assess a large number of alternative options in the least possible time. On the other hand, the sphere of application of artificial neural networks has widened covering such endeavours of life such as medicine, finance and unsurprisingly engineering (diagnostics of faults in machines). Artificial neural networks have been described as diagrammatic representation of a mathematical equation that receives values (inputs) and gives out results (outputs). Artificial neural networks systems have the capacity to recognise and associate patterns and because of their inherent design features, they can be applied to linear and non-linear problem domains. In this paper, the performance of the fuel cell is modelled using artificial neural networks. The inputs to the network are variables that are critical to the performance of the fuel cell while the outputs are the result of changes in any one or all of the fuel cell design variables, on its performance. Critical parameters for the cell include the geometrical configuration as well as the operating conditions. For the neural network, various network design parameters such as the network size, training algorithm, activation functions and their causes on the effectiveness of the performance modelling are discussed. Results from the analysis as well as the limitations of the approach are presented and discussed.

  12. 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…

  13. Emotion based Agent Architectures for Tutoring Systems: The INES Architecture

    NARCIS (Netherlands)

    Poel, Mannes; op den Akker, Hendrikus J.A.; Heylen, Dirk K.J.; Nijholt, Antinus; Trappl, R.

    2004-01-01

    In this paper we discuss our approach to integrate emotions in the agent based tutoring system INES (Intelligent Nursing Education System). First we discuss the INES system where we emphasize the emotional component of the system. Afterwards we show how a more advanced emotion generation

  14. 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.

  15. Conceptual Model of Business Value of Business Intelligence Systems

    OpenAIRE

    Popovič, Aleš; Turk, Tomaž; Jaklič, Jurij

    2010-01-01

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

  16. 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'…

  17. Effects of Peer Tutoring with Audio Prompting on Vocabulary Acquisition for Struggling Readers

    Science.gov (United States)

    Mackiewicz, Sara Moore; Wood, Charles L.; Cooke, Nancy L.; Mazzotti, Valerie L.

    2011-01-01

    Reciprocal peer tutoring can be an effective supplement to teacher-led instruction, but students need to have the tutoring skills necessary to teach their peers successfully. Previous studies have addressed the challenge of providing essential information to a naive tutor, allowing for correct modeling and feedback. The present study compared…

  18. What a Writer Wants: Assessing Fulfillment of Student Goals in Writing Center Tutoring Sessions

    Science.gov (United States)

    Raymond, Laurel; Quinn, Zarah

    2012-01-01

    The writing center where the authors were trained and currently work emphasizes the model of non-directive, writer-based peer tutoring in which, as Jeff Brooks puts it, tutors "make the student the primary agent in the writing center session." As undergraduate peer tutors, they recognize that some students come into their writing center with goals…

  19. Effects of Prerecorded Sight Words on the Accuracy of Tutor Feedback

    Science.gov (United States)

    Van Norman, Renee K.; Wood, Charles L.

    2008-01-01

    Six kindergarten students at risk for reading difficulties were taught to tutor each other and provide accurate feedback with the use of a prerecorded sight word model. Students were taught the components of reciprocal peer tutoring and were asked to tutor each other on unknown, phonetically irregular sight words. An A-B-A-B reversal design…

  20. 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,…

  1. Student Development and Metacognition: Foundations for Tutor Training.

    Science.gov (United States)

    Rings, Sally; Sheets, Rick A.

    1991-01-01

    Advocates grounding a tutor training program in research-based theoretical models, such as student development and metacognitive theories. Recommends that tutor training cover student development philosophy, effective communication skills, campus resources, instructional support materials, learning theory/learning styles, metacognitive approaches…

  2. Assessment of Tutoring Laboratories in a Learning Assistance Center

    Science.gov (United States)

    Fullmer, Patricia

    2012-01-01

    The Learning Resource Center at Lincoln University, Pennsylvania, provides tutoring laboratories that are required for developmental reading, writing, and math courses. This article reviews the processes used to plan and determine the effectiveness of the tutoring laboratories, including logic models, student learning outcomes, and the results of…

  3. Peer Tutoring: A Training and Facilitation Guide

    Science.gov (United States)

    Pirini, Jesse

    2017-01-01

    Students can make huge gains in academic grades and confidence with the help of peer tutoring. This book provides practical, research-based strategies for anyone wanting to run a peer tutoring programme or to improve their own tutoring practice. The book focuses on two key components of tutoring: the tutoring relationship and tutoring tools. The…

  4. 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…

  5. Teaching Recreational Skills to Handicapped Youths with Video Modeling and Peer Tutoring.

    Science.gov (United States)

    Durham, Robert L.; And Others

    1981-01-01

    A videotape modeling and peer counseling program was utilized to teach recreational skills to 89 handicapped children (3 to 15 years old) and employment skills to 18 adolescent handicapped youths (15 to 19 years old) who served as trainers. (Author/SW)

  6. 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.

  7. 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

  8. Addressing Diverse Learner Preferences and Intelligences with Emerging Technologies: Matching Models to Online Opportunities

    Science.gov (United States)

    Zhang, Ke; Bonk, Curtis J.

    2008-01-01

    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…

  9. Dynamic intelligent cleaning model of dirty electric load data

    Energy Technology Data Exchange (ETDEWEB)

    Zhang, Xiaoxing [State Key Laboratory of Power Transmission Equipment and System Security and New Technology, Chongqing University, Chongqing 400044 (China); Sun, Caixin [The Key Laboratory of High Voltage Engineering and Electrical New Technology, Ministry of Education, Electrical Engineering College of Chongqing University, Chongqing 400044 (China)

    2008-04-15

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

  10. Dynamic intelligent cleaning model of dirty electric load data

    Energy Technology Data Exchange (ETDEWEB)

    Zhang Xiaoxing [State Key Laboratory of Power Transmission Equipment and System Security and New Technology, Chongqing University, Chongqing 400044 (China)], E-mail: mikezxx@tom.com; Sun Caixin [Key Laboratory of High Voltage Engineering and Electrical New Technology, Ministry of Education, Electrical Engineering College of Chongqing University, Chongqing 400044 (China)

    2008-04-15

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

  11. Dynamic intelligent cleaning model of dirty electric load data

    International Nuclear Information System (INIS)

    Zhang Xiaoxing; Sun Caixin

    2008-01-01

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

  12. A human performance modelling approach to intelligent decision support systems

    Science.gov (United States)

    Mccoy, Michael S.; Boys, Randy M.

    1987-01-01

    Manned space operations require that the many automated subsystems of a space platform be controllable by a limited number of personnel. To minimize the interaction required of these operators, artificial intelligence techniques may be applied to embed a human performance model within the automated, or semi-automated, systems, thereby allowing the derivation of operator intent. A similar application has previously been proposed in the domain of fighter piloting, where the demand for pilot intent derivation is primarily a function of limited time and high workload rather than limited operators. The derivation and propagation of pilot intent is presented as it might be applied to some programs.

  13. A psychoanalyst artificial intelligence model in a computer game

    OpenAIRE

    Muñoz Fernández, Enrique

    2012-01-01

    Projecte realitzat en el marc d'un programa de mobilitat amb la Vienna University of Technology. [ANGLÈS] Implementation of an artificial intelligence model based on the psychoanalytic theory of the ID-Ego-SuperEgo of Sigmund Freud into the computer game Unreal Tournament 2004. [CASTELLÀ] Implementación de un modelo de inteligencia artificial basado en la teoría psicoanalítica del ID-Ego-SuperEgo de Sigmund Freud en el videojuego Unreal Tournament 2004. [CATALÀ] Implementació d'un mo...

  14. Do tutors matter? Assessing the impact of tutors on firstyear ...

    African Journals Online (AJOL)

    This research sought to determine if a teaching intervention using tutors in a South African university could promote epistemological access to university for first-year students. Although hiring, developing and managing tutors takes oney, time and energy, the effectiveness of tutors in the South African context is ...

  15. Tutoring Center Effectiveness: The Effect of Drop-In Tutoring

    Science.gov (United States)

    Cooper, Erik

    2010-01-01

    While tutoring as a whole has been demonstrated to improve student learning across a variety of subjects and age groups, there is little published evidence for the effectiveness of drop-in tutoring at the undergraduate level. This type of tutoring can be derided as homework help; however, it is clear from this study that students who made use of…

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

    National Research Council Canada - National Science Library

    Behrman, Robert; Carley, Kathleen

    2003-01-01

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

  17. Application of Artificial Intelligence for Bridge Deterioration Model

    Science.gov (United States)

    Chen, Zhang; Wu, Yangyang; 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. PMID:26601121

  18. 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.

  19. A hierarchical distributed control model for coordinating intelligent systems

    Science.gov (United States)

    Adler, Richard M.

    1991-01-01

    A hierarchical distributed control (HDC) model for coordinating cooperative problem-solving among intelligent systems is described. The model was implemented using SOCIAL, an innovative object-oriented tool for integrating heterogeneous, distributed software systems. SOCIAL embeds applications in 'wrapper' objects called Agents, which supply predefined capabilities for distributed communication, control, data specification, and translation. The HDC model is realized in SOCIAL as a 'Manager'Agent that coordinates interactions among application Agents. The HDC Manager: indexes the capabilities of application Agents; routes request messages to suitable server Agents; and stores results in a commonly accessible 'Bulletin-Board'. This centralized control model is illustrated in a fault diagnosis application for launch operations support of the Space Shuttle fleet at NASA, Kennedy Space Center.

  20. 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...

  1. 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.

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

    Science.gov (United States)

    Abbasi, Maryam; El Hanandeh, Ali

    2016-10-01

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

  3. 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. Copyright 2009 APA, all rights reserved.

  4. 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.

  5. Terrorism Risk Modeling for Intelligence Analysis and Infrastructure Protection

    National Research Council Canada - National Science Library

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

    2007-01-01

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

  6. Refinement-Based Student Modeling and Automated Bug Library Construction.

    Science.gov (United States)

    Baffes, Paul; Mooney, Raymond

    1996-01-01

    Discussion of student modeling and intelligent tutoring systems focuses on the development of the ASSERT algorithm (Acquiring Stereotypical Student Errors by Refining Theories). Topics include overlay modeling; bug libraries (databases of student misconceptions); dynamic modeling; refinement-based modeling; and experimental results from tests at…

  7. Theoretical Considerations of Peer Tutoring.

    Science.gov (United States)

    Cohen, Jiska

    1986-01-01

    Addresses the need for a theoretical analysis of the peer tutoring process by discussing: definitions of the process, the psychological and educational processes in peer tutoring as a learning and teaching experience, and the conceptualization of peer tutoring as a cooperative social system and a group reward structure. (Author/ABB)

  8. The experimentation of learning models viewed from interpersonal intelligence

    Science.gov (United States)

    Gerhana, M. T. C.; Mardiyana; Pramudya, I.

    2017-11-01

    This research aimed to know experimentation Project Based Learning (PjBL) and Problem Based Learning (PBL) with scientific approach viewed from interpersonal intelligence. The subjects of this research were grade X MIPA students in SMA N 1 Minggir. This research instruments used were test and questionnaire. The result of the research showed that: (1) Students subjected PjBL with scientific approach had a better learning achievement than PBL with scientific approach; (2) students with high interpersonal intelligence had a better learning achievement than low and medium interpersonal intelligence, students with low and medium interpersonal intelligence gave the same learning achievement; (3) In PjBL, students with high interpersonal intelligence had a better learning achievement than low and medium interpersonal intelligence, students with low and medium interpersonal intelligence gave the same learning achievement. In PBL, students with high and medium interpersonal intelligence had a better learning achievement than low interpersonal intelligence, students with high and medium interpersonal intelligence gave the same learning achievement; (4) In high interpersonal intelligence, students subjected PjBL had a better learning achievement than students subjected PBL. In medium and low interpersonal intelligence, students subjected PjBL gave same learning achievement than students subjected PBL.

  9. On prognostic models, artificial intelligence and censored observations.

    Science.gov (United States)

    Anand, S S; Hamilton, P W; Hughes, J G; Bell, D A

    2001-03-01

    The development of prognostic models for assisting medical practitioners with decision making is not a trivial task. Models need to possess a number of desirable characteristics and few, if any, current modelling approaches based on statistical or artificial intelligence can produce models that display all these characteristics. The inability of modelling techniques to provide truly useful models has led to interest in these models being purely academic in nature. This in turn has resulted in only a very small percentage of models that have been developed being deployed in practice. On the other hand, new modelling paradigms are being proposed continuously within the machine learning and statistical community and claims, often based on inadequate evaluation, being made on their superiority over traditional modelling methods. We believe that for new modelling approaches to deliver true net benefits over traditional techniques, an evaluation centric approach to their development is essential. In this paper we present such an evaluation centric approach to developing extensions to the basic k-nearest neighbour (k-NN) paradigm. We use standard statistical techniques to enhance the distance metric used and a framework based on evidence theory to obtain a prediction for the target example from the outcome of the retrieved exemplars. We refer to this new k-NN algorithm as Censored k-NN (Ck-NN). This reflects the enhancements made to k-NN that are aimed at providing a means for handling censored observations within k-NN.

  10. 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...

  11. 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'…

  12. 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.

  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. 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.

  15. The Construction of Intelligent English Teaching Model Based on Artificial Intelligence

    Directory of Open Access Journals (Sweden)

    Xiaoguang Li

    2017-12-01

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

  16. Modelling and Intelligent Control of an Elastic Link Robot Manipulator

    Directory of Open Access Journals (Sweden)

    Malik Loudini

    2013-01-01

    Full Text Available In this paper, precise control of the end-point position of a planar single-link elastic manipulator robot is discussed. The Timoshenko beam theory (TBT has been used to characterize the structural link elasticity including important damping mechanisms. A suitable nonlinear model is derived based on the Lagrangian assumed modes method. Elastic link manipulators are classified as systems possessing highly complex dynamics. In addition, the environment in which they operate may have a lot of disturbances. These give rise to special problems that may be solved using intelligent control techniques. The application of two advanced control strategies based on fuzzy set theory is investigated. The first closed-loop control scheme to be applied is the standard Proportional-Derivative (PD type fuzzy logic controller (FLC, also known as PD-type Mamdani's FLC (MPDFLC. Then, a genetic algorithm (GA is used to optimize the MPDFLC parameters with innovative tuning procedures. Both the MPDFLC and the GA optimized FLC (GAOFLC are implemented and tested to achieve a precise control of the manipulator end-point. The performances of the adopted closed-loop intelligent control strategies are examined via simulation experiments.

  17. Novel approach for dam break flow modeling using computational intelligence

    Science.gov (United States)

    Seyedashraf, Omid; Mehrabi, Mohammad; Akhtari, Ali Akbar

    2018-04-01

    A new methodology based on the computational intelligence (CI) system is proposed and tested for modeling the classic 1D dam-break flow problem. The reason to seek for a new solution lies in the shortcomings of the existing analytical and numerical models. This includes the difficulty of using the exact solutions and the unwanted fluctuations, which arise in the numerical results. In this research, the application of the radial-basis-function (RBF) and multi-layer-perceptron (MLP) systems is detailed for the solution of twenty-nine dam-break scenarios. The models are developed using seven variables, i.e. the length of the channel, the depths of the up-and downstream sections, time, and distance as the inputs. Moreover, the depths and velocities of each computational node in the flow domain are considered as the model outputs. The models are validated against the analytical, and Lax-Wendroff and MacCormack FDM schemes. The findings indicate that the employed CI models are able to replicate the overall shape of the shock- and rarefaction-waves. Furthermore, the MLP system outperforms RBF and the tested numerical schemes. A new monolithic equation is proposed based on the best fitting model, which can be used as an efficient alternative to the existing piecewise analytic equations.

  18. Peer tutoring in a medical school: perceptions of tutors and tutees.

    Science.gov (United States)

    Burgess, Annette; Dornan, Tim; Clarke, Antonia J; Menezes, Audrey; Mellis, Craig

    2016-03-08

    Peer tutoring has been described as "people from similar social groupings who are not professional teachers helping each other to learn and learning themselves by teaching". Peer tutoring is well accepted as a source of support in many medical curricula, where participation and learning involve a process of socialisation. Peer tutoring can ease the transition of the junior students from the university class environment to the hospital workplace. In this paper, we apply the Experienced Based Learning (ExBL) model to explore medical students' perceptions of their experience of taking part in a newly established peer tutoring program at a hospital based clinical school. In 2014, all students at Sydney Medical School - Central, located at Royal Prince Alfred Hospital were invited to voluntarily participate in the peer tutoring program. Year 3 students (n = 46) were invited to act as tutors for Year 1 students (n = 50), and Year 4 students (n = 60) were invited to act as tutors for Year 2 students (n = 51). Similarly, the 'tutees' were invited to take part on a voluntary basis. Students were invited to attend focus groups, which were held at the end of the program. Framework analysis was used to code and categorise data into themes. In total, 108/207 (52 %) students participated in the program. A total of 42/106 (40 %) of Year 3 and 4 students took part as tutors; and of 66/101 (65 %) of Year 1 and 2 students took part as tutees. Five focus groups were held, with 50/108 (46 %) of students voluntarily participating. Senior students (tutors) valued the opportunity to practice and improve their medical knowledge and teaching skills. Junior students (tutees) valued the opportunity for additional practice and patient interaction, within a relaxed, small group learning environment. Students perceived the peer tutoring program as affording opportunities not otherwise available within the curriculum. The peer teaching program provided a framework within the

  19. 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…

  20. 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

  1. 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.

  2. Professionalizing tutors and tutorials in higher education

    OpenAIRE

    Colunga, Silvia; García, Jorge; Álvarez, Nivia Hermínia

    2012-01-01

    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.

  3. Implementation Integrity in Peer Tutoring of Mathematics

    Science.gov (United States)

    Topping, Keith; Miller, David; Murray, Pauline; Conlin, Nora

    2011-01-01

    A two-year randomised controlled trial of peer tutoring in mathematics using the Duolog Math technique was operated in 80 schools. The aim was to achieve adequate implementation quality with modest pre-intervention training for teachers, who received brief didactic training and no process feedback (but they were to train pupils using modelling,…

  4. 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.

  5. 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.

  6. Is Tutoring Teaching? Exploring Tutoring's Potential to Improve Mathematics Teacher Education

    Science.gov (United States)

    Rasche, Alexander N.

    2017-01-01

    This study investigated the tutoring practices of mathematics tutors working in one university tutoring center and the corresponding rationale exhibited by the mathematics tutors. This study illustrates how the tutoring practices of mathematics tutors align with the Eight Mathematics Teaching Practices outlined in NCTM's recent publication…

  7. Investigating Peer Tutoring

    Science.gov (United States)

    Mynard, Jo; Almarzouqi, Iman

    2006-01-01

    This article gives an overview of a piece of qualitative research conducted at a women's university in the United Arab Emirates. The aim of the study was to evaluate the English language peer tutoring programme in order to highlight benefits and challenges, and to make informed improvements. The study drew particularly on participant perceptions…

  8. Literacy Tutoring Handbook

    Science.gov (United States)

    Siljander, Raymond P.; Reina, Jacqueline A.; Siljander, Roger A.

    2005-01-01

    This book investigates the depth of the illiteracy problem in the United States and the rationale and administration of a literacy-learning program. Based on some of the latest reading research, the authors provide a comprehensive up-to-date look at literacy tutoring. Following an introduction to the illiteracy problem, the book focuses on…

  9. 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

  10. Macromolecular symmetric assembly prediction using swarm intelligence dynamic modeling.

    Science.gov (United States)

    Degiacomi, Matteo T; Dal Peraro, Matteo

    2013-07-02

    Proteins often assemble in multimeric complexes to perform a specific biologic function. However, trapping these high-order conformations is difficult experimentally. Therefore, predicting how proteins assemble using in silico techniques can be of great help. The size of the associated conformational space and the fact that proteins are intrinsically flexible structures make this optimization problem extremely challenging. Nonetheless, known experimental spatial restraints can guide the search process, contributing to model biologically relevant states. We present here a swarm intelligence optimization protocol able to predict the arrangement of protein symmetric assemblies by exploiting a limited amount of experimental restraints and steric interactions. Importantly, within this scheme the native flexibility of each protein subunit is taken into account as extracted from molecular dynamics (MD) simulations. We show that this is a key ingredient for the prediction of biologically functional assemblies when, upon oligomerization, subunits explore activated states undergoing significant conformational changes.

  11. Perceptions of student peer tutors in a problem-based learning programme.

    Science.gov (United States)

    Solomon, Patricia; Crowe, Jean

    2001-03-01

    The use of student peer tutors is an attractive and affordable alternative in a problem-based programme. Previous literature has focused on comparing the academic performance of faculty-tutored and student-tutored groups. This study used qualitative methods to examine a peer-tutoring model from the perspective of the student tutor. Students in the final semester of a two-year accelerated physiotherapy programme kept a reflective journal outlining their experiences in facilitating a group of peers from the same class. Content analysis of 56 journals indicated that the students struggled with basic facilitation skills and had difficulty separating the role of student from that of tutor. Students also developed strategies to allow them to succeed, were able to evaluate their performance in a positive light and appeared to value their tutoring experience.

  12. 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.

  13. Artificial Life of Soybean Plant Growth Modeling Using Intelligence Approaches

    Directory of Open Access Journals (Sweden)

    Atris Suyantohadi

    2010-03-01

    Full Text Available The natural process on plant growth system has a complex system and it has could be developed on characteristic studied using intelligent approaches conducting with artificial life system. The approaches on examining the natural process on soybean (Glycine Max L.Merr plant growth have been analyzed and synthesized in these research through modeling using Artificial Neural Network (ANN and Lindenmayer System (L-System methods. Research aimed to design and to visualize plant growth modeling on the soybean varieties which these could help for studying botany of plant based on fertilizer compositions on plant growth with Nitrogen (N, Phosphor (P and Potassium (K. The soybean plant growth has been analyzed based on the treatments of plant fertilizer compositions in the experimental research to develop plant growth modeling. By using N, P, K fertilizer compositions, its capable result on the highest production 2.074 tons/hectares. Using these models, the simulation on artificial life for describing identification and visualization on the characteristic of soybean plant growth could be demonstrated and applied.

  14. 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.

  15. Space Environment Modelling with the Use of Artificial Intelligence Methods

    Science.gov (United States)

    Lundstedt, H.; Wintoft, P.; Wu, J.-G.; Gleisner, H.; Dovheden, V.

    1996-12-01

    Space based technological systems are affected by the space weather in many ways. Several severe failures of satellites have been reported at times of space storms. Our society also increasingly depends on satellites for communication, navigation, exploration, and research. Predictions of the conditions in the satellite environment have therefore become very important. We will here present predictions made with the use of artificial intelligence (AI) techniques, such as artificial neural networks (ANN) and hybrids of AT methods. We are developing a space weather model based on intelligence hybrid systems (IHS). The model consists of different forecast modules, each module predicts the space weather on a specific time-scale. The time-scales range from minutes to months with the fundamental time-scale of 1-5 minutes, 1-3 hours, 1-3 days, and 27 days. Solar and solar wind data are used as input data. From solar magnetic field measurements, either made on the ground at Wilcox Solar Observatory (WSO) at Stanford, or made from space by the satellite SOHO, solar wind parameters can be predicted and modelled with ANN and MHD models. Magnetograms from WSO are available on a daily basis. However, from SOHO magnetograms will be available every 90 minutes. SOHO magnetograms as input to ANNs will therefore make it possible to even predict solar transient events. Geomagnetic storm activity can today be predicted with very high accuracy by means of ANN methods using solar wind input data. However, at present real-time solar wind data are only available during part of the day from the satellite WIND. With the launch of ACE in 1997, solar wind data will on the other hand be available during 24 hours per day. The conditions of the satellite environment are not only disturbed at times of geomagnetic storms but also at times of intense solar radiation and highly energetic particles. These events are associated with increased solar activity. Predictions of these events are therefore

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

    Science.gov (United States)

    Hali, Nur Ihsan

    2017-01-01

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

  17. 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

  18. 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...enlisting recruits better suited for service in the Air Force. Concerning age, gender , and emotional intelligence competency levels, Boyatzis and Sala...uses in the act of leading. Emotional Intelligence in Action Emotionally competent leaders underwrite a healthy organizational climate

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

    Directory of Open Access Journals (Sweden)

    Intan Kusumawati

    2016-03-01

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

  20. Statistical Techniques to Explore the Quality of Constraints in Constraint-Based Modeling Environments

    Science.gov (United States)

    Gálvez, Jaime; Conejo, Ricardo; Guzmán, Eduardo

    2013-01-01

    One of the most popular student modeling approaches is Constraint-Based Modeling (CBM). It is an efficient approach that can be easily applied inside an Intelligent Tutoring System (ITS). Even with these characteristics, building new ITSs requires carefully designing the domain model to be taught because different sources of errors could affect…

  1. 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.

  2. Electron beam lithographic modeling assisted by artificial intelligence technology

    Science.gov (United States)

    Nakayamada, Noriaki; Nishimura, Rieko; Miura, Satoru; Nomura, Haruyuki; Kamikubo, Takashi

    2017-07-01

    We propose a new concept of tuning a point-spread function (a "kernel" function) in the modeling of electron beam lithography using the machine learning scheme. Normally in the work of artificial intelligence, the researchers focus on the output results from a neural network, such as success ratio in image recognition or improved production yield, etc. In this work, we put more focus on the weights connecting the nodes in a convolutional neural network, which are naturally the fractions of a point-spread function, and take out those weighted fractions after learning to be utilized as a tuned kernel. Proof-of-concept of the kernel tuning has been demonstrated using the examples of proximity effect correction with 2-layer network, and charging effect correction with 3-layer network. This type of new tuning method can be beneficial to give researchers more insights to come up with a better model, yet it might be too early to be deployed to production to give better critical dimension (CD) and positional accuracy almost instantly.

  3. Tutoring Mentoring Peer Consulting

    OpenAIRE

    Szczyrba, Birgit; Wildt, Johannes

    2006-01-01

    Consulting, Coaching und Supervision, Tutoring, Mentoring und kollegiale Beratung: Beratungsangebote verschiedenster Art werden wie selbstverständlich in den Berufen nachgefragt, die mit Beziehung und Interaktion, mit komplexen sozialen Organisationen und Systemen, mit hoher Verantwortlichkeit, aber unsicheren Handlungsbedingungen zu tun haben. Mittlerweile beginnt diese Nachfrage auch in den Hochschulen zu steigen. Eine solche Steigerung wird ausgelöst durch den Wandel in den Lehr-Lernkultur...

  4. Implementasi Model Pembelajaran Problem Solving Berbantuan Peer Tutoring Dilengkapi Hierarki Konsep Untuk Meningkatkan Kualitas Proses Dan Hasil Belajar Materi Stoikiometri Pada Siswa Kelas X IPA 6 Sman 1 Sukoharjo Tahun Pelajaran 2013/2014

    OpenAIRE

    Ishartono, Bayu; Ashadi, Ashadi; Susilowati, Endang

    2015-01-01

    Telah dilakukan penelitian tentang implementasi model pembelajaran Problem Solving berbantuan Peer Tutoring dilengkapi hierarki konsep. Penelitian bertujuan untuk meningkatkan kualitas proses dan hasil belajar materi stoikiometri pada siswa kelas X IPA 6 SMAN 1 Sukoharjo tahun pelajaran 2013/2014 yang terimplementasi Kurikulum 2013. Penelitian ini merupakan penelitian tindakan kelas 2 siklus model Kemmis-McTaggart dengan 4 tahapan dari perencanaan, pelaksanaan, observasi dan refleksi tindakan...

  5. 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...representation of speech intelligibility in noise. The auditory-periphery model of Zilany et al. (JASA 2009,2014) is used to make predictions of

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

    International Nuclear Information System (INIS)

    Saini, K. K.; Saini, Sanju

    2008-01-01

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

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

    Directory of Open Access Journals (Sweden)

    Nur Ihsan Halil

    2017-10-01

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

  8. Artificial Intelligence Applications for Education: Promise, ...Promises.

    Science.gov (United States)

    Adams, Dennis M.; Hamm, Mary

    1988-01-01

    Surveys the current status of artificial intelligence (AI) technology. Discusses intelligent tutoring systems, robotics, and applications for educators. Likens the status of AI at present to that of aviation in the very early 1900s. States that educators need to be involved in future debates concerning AI. (CW)

  9. 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…

  10. PEER TUTORING IN LEARNING A FOREIGN LANGUAGE AS A NON-MAJOR

    OpenAIRE

    E. A. Makarova

    2017-01-01

    Introduction. The problems of stimulation cognitive activity and improvement of student learning motivation are of interest for many Russian and foreign researchers. One of the approaches to solve these problems, actively implemented in educational process abroad, is peer tutoring. Peer tutoring is a form of collaborative learning based on the models of student interactions organized in pairs or groups with shared roles «peer tutor- tutee».The aim of the study is to analyze effective models o...

  11. 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.

  12. 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,…

  13. 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.

  14. A Concept Map Knowledge Model of Intelligence Analysis

    Science.gov (United States)

    2011-05-01

    performance humaine . Le modèle couvre une vingtaine de sujets différents, il répertorie et définit des douzaines de concepts relevant de l’analyse des...analysis, such as Canadian Association of Professional Intelligence Analysts, and Canadian Association for Security and Intelligence Studies. The map...intentionally left blank. UNCLASSIFIED DOCUMENT CONTROL DATA ( Security classification of the title, body of abstract and indexing annotation must be

  15. The Kano Model Use to Evaluate the Perception of Intelligent and Active Packaging of Slovak Customers

    Directory of Open Access Journals (Sweden)

    Erika Loučanová

    2018-03-01

    Full Text Available Intelligent innovation represents any autonomic change with positive impact to the customer. They increase the comfort of the customer and concurrently they represent more effective, more economical, healthier and safer solution. This term is not so usual in Slovakia, however intelligent innovation are present on the market. For that in the article intelligent innovation assessment, we focused on intelligent and active packaging, the occurrence of which we have mostly noticed on the Slovak market. The paper deals with the evaluation of the perception of packaging innovations by using the Kano model. According to research results, intelligent and active packaging influence customers and therefore constitutes a tool of competitiveness in Slovakia. However, considering the specification of their requirements, the degree of impact is very variable and specific to customers of different gender and age.

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

    Science.gov (United States)

    Bailey, Drew H; Littlefield, Andrew K

    2017-11-01

    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.

  17. 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.

  18. Intelligent CBI Systems for Diagnostic Testing and Instruction.

    Science.gov (United States)

    Scandura, Joseph M.; Scandura, Alice B.

    1987-01-01

    Research on structural learning theory is reviewed as a base for designing computer-assisted instruction programs. An intelligent "Rule Tutor" emphasizing diagnosis and remediation for whole number concepts is described. (MNS)

  19. Inspiring Students with Peer Tutoring

    Science.gov (United States)

    Smith, Brandy

    2007-01-01

    Peer tutoring is essentially peers teaching each other. Many teachers already incorporate this idea into their classrooms in other curricular areas and appreciate the benefits that come from this type of teaching. Teachers can implement peer tutoring by teaching a small group of students a subject, or using a group that already understands the…

  20. Linguistic Politeness and Peer Tutoring

    Science.gov (United States)

    Bell, Diana Calhoun; Arnold, Holly; Haddock, Rebecca

    2009-01-01

    The goal of this research was to use politeness theory to analyze the developing tutorial relationship between students and peer tutors in a university writing center. The study monitored two pairs of tutors and students over a period of six weeks, focusing on weeks one and six. Using partial transcripts of recorded sessions along with observation…

  1. 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…

  2. 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,…

  3. 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.

  4. 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.

  5. Peer Tutoring at Colleges and Universities

    Science.gov (United States)

    Kim, Mikyong Minsun

    2015-01-01

    This paper focuses on the important roles of peer tutoring and peer tutoring services that utilize student tutors in higher education. First, the roles and potential benefits of peer tutoring are identified and reviewed as they apply to various dimensions of student development. Second, the impacts, benefits, and extended beneficiaries of peer…

  6. Supporting Tutoring Within a Namibian Environmental Education ...

    African Journals Online (AJOL)

    This paper is based on a case study of tutoring in the Namibian Environmental Education Certificate (NEEC) Course. In order to support tutoring, the National NEEC Coordinator investigated the way NEEC tutors are supported and the kinds of challenges faced in the tutoring process. The case study was framed within a ...

  7. Tutoring and Mentoring

    Directory of Open Access Journals (Sweden)

    Nelia Frade

    2017-12-01

    Full Text Available South African institutions of higher education (HE have increasingly come under pressure to broaden access to historically under-represented groups who are often underprepared for tertiary education as a result of apartheid-era secondary schooling (White Paper, 2013. This has resulted in student enrolments becoming increasingly diverse with respect to racial, cultural, socio-economic and linguistic backgrounds (Underhill & McDonald, 2010. In an attempt to address these issues and promote increased throughput rates, institutions of HE have increasingly begun to introduce tutoring, including supplemental instruction (SI and peer-assisted learning (PAL and mentoring programmes.

  8. 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.

  9. 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.

  10. Readings in artificial intelligence and software engineering

    CERN Document Server

    Rich, Charles

    1986-01-01

    Readings in Artificial Intelligence and Software Engineering covers the main techniques and application of artificial intelligence and software engineering. The ultimate goal of artificial intelligence applied to software engineering is automatic programming. Automatic programming would allow a user to simply say what is wanted and have a program produced completely automatically. This book is organized into 11 parts encompassing 34 chapters that specifically tackle the topics of deductive synthesis, program transformations, program verification, and programming tutors. The opening parts p

  11. 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...

  12. Peer tutoring among elementary students: educational benefits to the tutor1

    Science.gov (United States)

    Dineen, John P.; Clark, Hewitt B.; Risley, Todd R.

    1977-01-01

    To determine whether tutoring might be academically beneficial to the tutor, this study investigated the acquisition of spelling words by three elementary students in a peer tutoring program. The experimental design allowed a simultaneous comparison of each child's gain in performance on comparable word lists on which the child tutored another child, was tutored by another child, or neither gave nor received tutoring. The children's spelling improved nearly an equivalent amount on those words on which they tutored another child as on the words on which they were tutored; no such change was noted on the words on which they neither gave nor received tutoring. These findings, that peer tutoring is profitable for the tutor as well as the tutee, provide a basis for recommending peer tutoring as one method of individualizing education. PMID:16795552

  13. Weaving Emotional Intelligence into a Home Visiting Model

    Science.gov (United States)

    Enson, Beth; Imberger, Jaci

    2017-01-01

    This article details the impact of Emotional Intelligence (EI) training on the 10-year evolution of the Taos First Steps Home Visiting program. While EI has become standard fare in corporate training and practice, it is less well known in the world of early childhood services. This article highlights interviews with key personnel, both in-house…

  14. Modeling and Evaluation of LTE in Intelligent Transportation Systems

    NARCIS (Netherlands)

    Trichias, K.; van den Berg, Hans Leo; de Jongh, J.; Litjens, R.; Dimitrova, D.C.; Brogle, M.; Braun, T.; Heijenk, Gerhard J.; Meratnia, Nirvana

    The term Intelligent Transportation Systems (ITS) refers to adding information and communications technology to transport infrastructure and ve- hicles. The IEEE 802.11p standard is considered the main candidate for com- munication within the context of ITS and it performs well for active safety use

  15. 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

  16. 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…

  17. Underwater Signal Modeling for Subsurface Classification Using Computational Intelligence.

    Science.gov (United States)

    Setayeshi, Saeed

    In the thesis a method for underwater layered media (UWLM) modeling is proposed, and a simple nonlinear structure for implementation of this model based on the behaviour of its characteristics and the propagation of the acoustic signal in the media accounting for attenuation effects is designed. The model that responds to the acoustic input is employed to test the artificial intelligence classifiers ability. Neural network models, the basic principles of the back-propagation algorithm, and the Hopfield model of associative memories are reviewed, and they are employed to use min-max amplitude ranges of a reflected signal of UWLM based on attenuation effects, to define the classes of the synthetic data, detect its peak features and estimate parameters of the media. It has been found that there is a correlation between the number of layers in the media and the optimum number of nodes in the hidden layer of the neural networks. The integration of the result of the neural networks that classify and detect underwater layered media acoustic signals based on attenuation effects to prove the correspondence between the peak points and decay values has introduced a powerful tool for UWLM identification. The methods appear to have applications in replacing original system, for parameter estimation and output prediction in system identification by the proposed networks. The results of computerized simulation of the UWLM modeling in conjunction with the proposed neural networks training process are given. Fuzzy sets is an idea that allows representing and manipulating inexact concepts, fuzzy min-max pattern classification method, and the learning and recalling algorithms for fuzzy neural networks implementation is explained in this thesis. A fuzzy neural network that uses peak amplitude ranges to define classes is proposed and evaluated for UWLM pattern recognition. It is demonstrated to be able to classify the layered media data sets, and can distinguish between the peak points

  18. 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....

  19. 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.

  20. 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

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

    Science.gov (United States)

    Geng, Yuan

    2016-11-01

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

  2. 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.

  3. USE OF ONTOLOGIES FOR KNOWLEDGE BASES CREATION TUTORING COMPUTER SYSTEMS

    Directory of Open Access Journals (Sweden)

    Cheremisina Lyubov

    2014-11-01

    Full Text Available This paper deals with the use of ontology for the use and development of intelligent tutoring systems. We consider the shortcomings of educational software and distance learning systems and the advantages of using ontology’s in their design. Actuality creates educational computer systems based on systematic knowledge. We consider classification of properties, use and benefits of ontology’s. Characterized approaches to the problem of ontology mapping, the first of which – manual mapping, the second – a comparison of the names of concepts based on their lexical similarity and using special dictionaries. The analysis of languages available for the formal description of ontology. Considered a formal mathematical model of ontology’s and ontology consistency problem, which is that different developers for the same domain ontology can be created, syntactically or semantically heterogeneous, and their use requires a compatible broadcast or display. An algorithm combining ontology’s. The characteristic of the practical value of developing an ontology for electronic educational resources and recommendations for further research and development, such as implementation of other components of the system integration, formalization of the processes of integration and development of a universal expansion algorithms ontology’s software

  4. Implementing a centralized institutional peer tutoring program.

    Science.gov (United States)

    Gaughf, Natalie White; Foster, Penni Smith

    2016-01-01

    Peer tutoring has been found to be beneficial to both students and peer tutors in health sciences education programs. This article describes the implementation of a centralized, institutional peer tutoring program at the University of Mississippi Medical Center, an academic health science center in the U.S. The Program: This multispecialty peer tutoring program paired students experiencing academic difficulties with peer tutors who showed prior academic success, professionalism and effective communication skills. The program allowed students and peer tutors to coordinate their own tutoring services. Evaluations by both students and peer tutors showed satisfaction with the program. Recommendations for developing and implementing an effective peer tutoring program are presented, including utilization of an online system, consistent program policy with high professionalism expectations, funding, program evaluation and data tracking.

  5. Intelligent Adversary Risk Analysis: A Bioterrorism Risk Management Model (PREPRINT)

    Science.gov (United States)

    2009-02-20

    Society for Risk Analysis, February 20, 2009    1. INTELLIGENT ADVERSARY RISK  ANALISIS  IS DIFFERENT THAN  HAZARD RISK ANALYSIS  Risk analysis has...future work and our conclusions. 1.1. Intelligent adversary risk analysis requires new approaches We believe that risk analysis of uncertain hazards...public panic and social disruption; and require special action for public health preparedness. B to Second highest priority agents include those

  6. Case-Exercises, Diagnosis, and Explanations in a Knowledge Based Tutoring System for Project Planning.

    Science.gov (United States)

    Pulz, Michael; Lusti, Markus

    PROJECTTUTOR is an intelligent tutoring system that enhances conventional classroom instruction by teaching problem solving in project planning. The domain knowledge covered by the expert module is divided into three functions. Structural analysis, identifies the activities that make up the project, time analysis, computes the earliest and latest…

  7. Timing Game-Based Practice in a Reading Comprehension Strategy Tutor

    Science.gov (United States)

    Jacovina, Matthew E.; Jackson, G. Tanner; Snow, Erica L.; McNamara, Danielle S.

    2016-01-01

    Game-based practice within Intelligent Tutoring Systems (ITSs) can be optimized by examining how properties of practice activities influence learning outcomes and motivation. In the current study, we manipulated when game-based practice was available to students. All students (n = 149) first completed lesson videos in iSTART-2, an ITS focusing on…

  8. 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…

  9. Efficacy of an ICALL Tutoring System and Process-Oriented Corrective Feedback

    Science.gov (United States)

    Choi, Inn-Chull

    2016-01-01

    A Web-based form-focused intelligent computer-assisted language learning (ICALL) tutoring system equipped with a process-oriented corrective feedback function was developed to investigate the extent to which such a program may serve as a viable method of teaching grammar to Korean secondary and elementary students. The present study was also…

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

    DEFF Research Database (Denmark)

    Jørgensen, Søren

    background noise, reverberation and noise reduction processing on speech intelligibility, indicating that the model is more general than traditional modeling approaches. Moreover, the model accounts for phase distortions when it includes a mechanism that evaluates the variation of envelope power across...... (audio) frequency. However, because the SNRenv is based on the long-term average envelope power, the model cannot account for the greater intelligibility typically observed in fluctuating noise compared to stationary noise. To overcome this limitation, a multi-resolution version of the sEPSM is presented...... distorted by reverberation or spectral subtraction. The relationship between the SNRenv based decision-metric and psychoacoustic speech intelligibility is further evaluated by generating stimuli with different SNRenv but the same overall power SNR. The results from the corresponding psychoacoustic data...

  11. Swarm intelligence algorithm for interconnect model order reduction with sub-block structure preserving

    Science.gov (United States)

    Wang, Xinsheng; Wang, Chenxu; Yu, Mingyan

    2016-07-01

    In this paper, we propose a generalised sub-block structure preservation interconnect model order reduction (MOR) technique based on the swarm intelligence method, that is, particle swarm optimisation (PSO). The swarm intelligence-based structure preservation MOR can be used for a standard model as a criterion for different structure preservation interconnect MOR methods. In the proposed technique, the PSO method is used for predicting the unknown elements of structure-preserving reduced-order modelling of interconnect circuits. The prediction is based on minimising the difference of transform function between the original full-order and desired reduced-order systems maintaining the full-order structure in the reduced-order model. The proposed swarm-intelligence-based structure-preserving MOR method is compared with published work on structure preservation MOR SPRIM techniques. Simulation and synthesis results verify the accuracy and validity of the new structure-preserving MOR technique.

  12. Exploring an Emotional Intelligence Model With Psychiatric Mental Health Nurses.

    Science.gov (United States)

    Sims, Traci T

    A lack of emotional skills may affect a nurse's personal well-being and have negative effects on patient outcomes. To compare psychiatric-mental health nurses' (PMHN) scores on the Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT) to a normed population and compare the emotional intelligence (EI) scores of PMHNs using two tools, MSCEIT and Self-Rated Emotional Intelligence Scale (SREIS). Comparative descriptive and correlational study. PMHNs in the study had a higher mean EI compared with that of 5,000 participants in the normed MSCEIT sample. Significant weak correlations were seen between the perceiving and understanding emotion branches of the MSCEIT and SREIS. The current study added data about a sample of PMHN's EI levels in the United States, which may encourage dialog about EI among PMHNs. Future research is needed to examine the relationship between self-report EI tools (e.g., SREIS) and performance tools (e.g., MSCEIT) to determine if they are measuring the same construct.

  13. Tracking Problem Solving by Multivariate Pattern Analysis and Hidden Markov Model Algorithms

    Science.gov (United States)

    Anderson, John R.

    2012-01-01

    Multivariate pattern analysis can be combined with Hidden Markov Model algorithms to track the second-by-second thinking as people solve complex problems. Two applications of this methodology are illustrated with a data set taken from children as they interacted with an intelligent tutoring system for algebra. The first "mind reading" application…

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

    Science.gov (United States)

    Morrison, Ian S; Gowanlock, Michael G

    2015-08-01

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

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

    DEFF Research Database (Denmark)

    Saleem, Arshad

    2007-01-01

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

  16. Effects of training peer tutors in content knowledge versus tutoring skills on giving feedback to help tutees’ complex tasks

    OpenAIRE

    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 and assigned to one of two treatments. Twenty-two tutors received training in content knowledge and the other twenty-five tutors in tutoring skills. Tutors formulated written feedback immediately a...

  17. 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…

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

    Science.gov (United States)

    Park, Ok-choon; Seidel, Robert J.

    1989-01-01

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

  19. 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…

  20. 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…

  1. 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.

  2. 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.

  3. What Positive Impacts Does Peer Tutoring Have upon the Peer Tutors at SQU?

    Science.gov (United States)

    Al kharusi, Dhafra

    2016-01-01

    This paper attempts to provide an answer to the question: What positive impacts does peer tutoring have upon the peer tutors at SQU? It is conducted in the LC Tutorial Centre at Sultan Qaboos University where senior English language students are hired to tutor their peers who are struggling with the language. It sheds light on the peer tutors'…

  4. A Model for Web-Intelligence Index to Evaluate the Web Intelligence Capacity of Government Web Sites of Sri Lanka

    OpenAIRE

    Abeysiriwardana, Prabath Chaminda; Kodituwakku, S. R.

    2015-01-01

    Web intelligence can be considered as a subset of Artificial Intelligence. It uses existing data in web to produce new data, knowledge and wisdom to support decision making and new predictions for web users. Artificial Intelligence is ever changing and evolving field of computer science and it is extensively used in wide array of web based business applications. Although it is used substantially in web based systems in developed countries, it is not examined whether it is being substantially ...

  5. MODEL OF SYNTHESIS OF A HARDWARE AND SOFTWARE SYSTEM DESIGNATED FOR AN INTELLIGENT OFFICE BUILDING

    Directory of Open Access Journals (Sweden)

    Ogirenko Andrey Grigor'evich

    2012-10-01

    Full Text Available The problem of synthesis of technology-intensive constituents of an intelligent office system, implemented in advanced office buildings, is the subject matter of this article. On the basis of the proposed classification and the analysis performed by the author, the general structure of the multilevel distributed system, that has radial treelike lines of communications, is developed. The structure of the intelligent office system designated for advanced real estate facilities represents an integration of two structures, including the functional constituent and the hardware constituent. The model of optimization of the hardware constituent is proposed by the author. The article also contains an overview of the model implementation within the framework of a set of intelligent buildings in the centre of Moscow.

  6. A Multidisciplinary Artificial Intelligence Model of an Affective Robot

    Directory of Open Access Journals (Sweden)

    Hooman Aghaebrahimi Samani

    2012-03-01

    Full Text Available A multidisciplinary approach to a novel artificial intelligence system for an affective robot is presented in this paper. The general objective of the system is to develop a robotic system which strives to achieve a high level of emotional bond between humans and robot by exploring human love. Such a relationship is a contingent process of attraction, affection and attachment from humans towards robots, and the belief of the vice versa from robots to humans. The advanced artificial intelligence of the system includes three modules, namely Probabilistic Love Assembly (PLA, based on the psychology of love, Artificial Endocrine System (AES, based on the physiology of love, and Affective State Transition (AST, based on emotions. The PLA module employs a Bayesian network to incorporate psychological parameters of affection in the robot. The AES module employs artificial emotional and biological hormones via a Dynamic Bayesian Network (DBN. The AST module uses a novel transition method for handling affective states of the robot. These three modules work together to manage emotional behaviours of the robot.

  7. 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.

  8. Winning with Peer Tutoring: A Teacher's Guide.

    Science.gov (United States)

    Miller, Linda J.; And Others

    1993-01-01

    A systematic process for planning, implementing, and maintaining peer-tutoring interventions is presented. Academic and social benefits of peer tutoring are briefly documented. The process includes four components: planning, training, monitoring/evaluation, and problem solving. (DB)

  9. 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.

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

    Science.gov (United States)

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

    2018-03-20

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

  12. 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…

  13. Peer Tutoring: An Effective Instructional Strategy.

    Science.gov (United States)

    Sanders, Phyllis

    This review examines the literature addressing the concept of peer tutoring. Journal articles and education documents written within the last 10 years that discussed peer tutoring were considered. The evidence reviewed overwhelmingly supported the use of peer tutoring and discussed it as an effective instructional strategy. The key points that…

  14. 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…

  15. Artificial intelligence approach to accelerator control systems

    International Nuclear Information System (INIS)

    Schultz, D.E.; Hurd, J.W.; Brown, S.K.

    1987-01-01

    An experiment was recently started at LAMPF to evaluate the power and limitations of using artificial intelligence techniques to solve problems in accelerator control and operation. A knowledge base was developed to describe the characteristics and the relationships of the first 30 devices in the LAMPF H+ beam line. Each device was categorized and pertinent attributes for each category defined. Specific values were assigned in the knowledge base to represent each actual device. Relationships between devices are modeled using the artificial intelligence techniques of rules, active values, and object-oriented methods. This symbolic model, built using the Knowledge Engineering Environment (KEE) system, provides a framework for analyzing faults, tutoring trainee operators, and offering suggestions to assist in beam tuning. Based on information provided by the domain expert responsible for tuning this portion of the beam line, additional rules were written to describe how he tunes, how he analyzes what is actually happening, and how he deals with failures. Initial results have shown that artificial intelligence techniques can be a useful adjunct to traditional methods of numerical simulation. Successful and efficient operation of future accelerators may depend on the proper merging of symbolic reasoning and conventional numerical control algorithms

  16. 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...

  17. Implementation of intelligent nuclear material diagnosis module based on the component object model

    International Nuclear Information System (INIS)

    Lee, Sang Yoon; Song, Dae Yong; Ko, Won Il; Ha, Jang Ho; Kim, Ho Dong

    2003-08-01

    In this paper, the implementation techniques of intelligent nuclear material surveillance system based on the COM (Component Object Model) and SOM (Self Organized Mapping) was described. The surveillance system that is to be developed is consist of CCD cameras, neutron monitors, and PC for data acquisition. To develop the system, the properties of the COM based software development technology was investigated, and the characteristics of related platform APIs was summarized. This report could be used for the developers who want to develop the intelligent surveillance system for various experimental environments based on the DVR and sensors using Borland C++ Builder

  18. 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.

  19. 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…

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

    Science.gov (United States)

    McCalla, Gordon I.

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

  1. Integrating Human and Computer Intelligence. Technical Report No. 32.

    Science.gov (United States)

    Pea, Roy D.

    This paper explores the thesis that advances in computer applications and artificial intelligence have important implications for the study of development and learning in psychology. Current approaches to the use of computers as devices for problem solving, reasoning, and thinking--i.e., expert systems and intelligent tutoring systems--are…

  2. 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…

  3. Implementing Adaptability in the Standard Reference Model for Intelligent Multimedia Presentation Systems

    NARCIS (Netherlands)

    L. Rutledge (Lloyd); L. Hardman (Lynda); J.R. van Ossenbruggen (Jacco); D.C.A. Bulterman (Dick)

    1998-01-01

    textabstractThis paper discusses the implementation of adaptability in environments that are based on the Standard Reference Model for Intelligent Multimedia Presentation Systems. This adaptability is explored in the context of style sheets, which are represented in such formats as DSSSL. The use of

  4. Decision Conceptual Model for Innovation Ways using the Competitive Intelligence System

    OpenAIRE

    Mateescu Mihaela; Muscalu Sabin; Bozga Raluca

    2017-01-01

    This paper proposes a theoretical model that can be used in making decisions regarding theinnovation ways. The innovation strategy is designed with the competitive intelligence system. Thismodel will be implemented software and will be applied in a service company. The results of thepresent study will be communicated in a future paper.

  5. Decision Conceptual Model for Innovation Ways using the Competitive Intelligence System

    Directory of Open Access Journals (Sweden)

    Mateescu Mihaela

    2017-01-01

    Full Text Available This paper proposes a theoretical model that can be used in making decisions regarding theinnovation ways. The innovation strategy is designed with the competitive intelligence system. Thismodel will be implemented software and will be applied in a service company. The results of thepresent study will be communicated in a future paper.

  6. Predicting speech intelligibility in adverse conditions: evaluation of the speech-based envelope power spectrum model

    DEFF Research Database (Denmark)

    Jørgensen, Søren; Dau, Torsten

    2011-01-01

    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...

  7. 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…

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

    NARCIS (Netherlands)

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

    2012-01-01

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

  9. Design of an Intelligent Support Agent Model for People with a Cognitive Vulnerability

    NARCIS (Netherlands)

    Aziz, A.A.; Klein, M.C.A.; Zhang, B.; Wang, Y.; Kinser, W.

    2010-01-01

    This paper presents the design of an intelligent agent application aimed at supporting people with a cognitive vulnerability to prevent the onset of a depression. For this, a computational model of the cognitive processes around depression is used. The agent application uses the principles of

  10. 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.

  11. A Constructionist Approach to Student Modelling: Tracing a Student's Constructions through an Agent-Based Tutoring Architecture

    Science.gov (United States)

    Beuls, Katrien

    2013-01-01

    Construction Grammar (CxG) is a well-established linguistic theory that takes the notion of a construction as the basic unit of language. Yet, because the potential of this theory for language teaching or SLA has largely remained ignored, this paper demonstrates the benefits of adopting the CxG approach for modelling a student's linguistic…

  12. 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.

  13. 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.

  14. A Novel Configuration of Feedback's Electric Machine Tutor (EMT ...

    African Journals Online (AJOL)

    This paper reports a successful adaptation of a laboratory teaching machine - Electrical Machine Tutor (EMT) model 180 as an asynchronous composite polyphase electric motor without rotor conductors. The device comprises two such identical machines without rotor conductors, all the conductors being on the stator side, ...

  15. Peer Tutoring via Electronic Mail.

    Science.gov (United States)

    Hedderich, Norbert

    1997-01-01

    Describes a three-year project devoted to fostering semester-long e-mail exchanges between American and German college students. Based on the tandem approach to language learning, peer tutoring via e-mail helped improve students' writing ability and cross-cultural competence. Presents types of writing activities and suggestions for setting up…

  16. Peer Tutoring in Conceptual Design

    Science.gov (United States)

    Schleyer, G. K.; Langdon, G. S.; James, S.

    2005-01-01

    A peer tutoring scheme has been introduced into the Department of Engineering at the University of Liverpool to help 2nd year undergraduate students tackle conceptual design problems. Conceptual design is an iterative process consisting of a series of generative and evaluative stages, which gradually converge on a preferred conceptual solution.…

  17. Conversations with AutoTutor Help Students Learn

    Science.gov (United States)

    Graesser, Arthur C.

    2016-01-01

    AutoTutor helps students learn by holding a conversation in natural language. AutoTutor is adaptive to the learners' actions, verbal contributions, and in some systems their emotions. Many of AutoTutor's conversation patterns simulate human tutoring, but other patterns implement ideal pedagogies that open the door to computer tutors eclipsing…

  18. 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...

  19. Intelligence in Artificial Intelligence

    OpenAIRE

    Datta, Shoumen Palit Austin

    2016-01-01

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

  20. Comparison of two intelligent models to estimate the instantaneous ...

    Indian Academy of Sciences (India)

    Mostafa Zamani Mohiabadi

    2017-07-25

    Jul 25, 2017 ... 2014) has combined empirical models and a Bayesian neural network (BNN) model to estimate daily global solar radiation on a horizon- tal surface in Ghardaıa, Algeria. In their model, the maximum and minimum air temperatures of the year 2006 have been used to estimate the coefficients of the empirical ...

  1. Model of facilitation of emotional intelligence to promote wholeness ...

    African Journals Online (AJOL)

    The facilitation of inherent affective and mental resourcefulness and resilience was the main concept of the model. Step two comprised the definition and classification of central and related concepts. Step three provides a description of the model. The model operates in three phases namely the dependent phase, partially ...

  2. 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

    2008-06-01

    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.

  3. 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.

  4. 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.

  5. Analysis of traversable pits model to make intelligent wheeled vehicles

    Directory of Open Access Journals (Sweden)

    F. Abbasi

    2017-11-01

    Full Text Available In this paper, the issue of passing wheeled vehicles from pits is discussed. The issue is modeled by defining the limits of passing wheeled vehicles. The proposed model has been studied based on changes in the effective parameters. Finally, in order to describe the problem, the proposed model has been solved for wheeled vehicles based on the effective parameters by using one of the numerical methods.

  6. 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 heating...... of the building in time. This way the thermal mass of the building can be used to absorb energy from renewable energy source when available and postpone heating in periods with lack of renewable energy generation. The model is used in a model predictive controller to ensure the residential comfort over a given...

  7. 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.

  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. 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.

  10. 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.

  11. 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.

  12. The development and analysis of tutorial dialogues in AutoTutor Lite.

    Science.gov (United States)

    Wolfe, Christopher R; Widmer, Colin L; Reyna, Valerie F; Hu, Xiangen; Cedillos, Elizabeth M; Fisher, Christopher R; Brust-Renck, Priscilla G; Williams, Triana C; Damas Vannucchi, Isabella; Weil, Audrey M

    2013-09-01

    The goal of intelligent tutoring systems (ITS) that interact in natural language is to emulate the benefits that a well-trained human tutor provides to students, by interpreting student answers and appropriately responding in order to encourage elaboration. BRCA Gist is an ITS developed using AutoTutor Lite, a Web-based version of AutoTutor. Fuzzy-trace theory theoretically motivated the development of BRCA Gist, which engages people in tutorial dialogues to teach them about genetic breast cancer risk. We describe an empirical method to create tutorial dialogues and fine-tune the calibration of BRCA Gist's semantic processing engine without a team of computer scientists. We created five interactive dialogues centered on pedagogic questions such as "What should someone do if she receives a positive result for genetic risk of breast cancer?" This method involved an iterative refinement process of repeated testing with different texts and successively making adjustments to the tutor's expectations and settings in order to improve performance. The goal of this method was to enable BRCA Gist to interpret and respond to answers in a manner that best facilitated learning. We developed a method to analyze the efficacy of the tutor's dialogues. We found that BRCA Gist's assessment of participants' answers was highly correlated with the quality of the answers found by trained human judges using a reliable rubric. The dialogue quality between users and BRCA Gist predicted performance on a breast cancer risk knowledge test completed after exposure to the tutor. The appropriateness of BRCA Gist's feedback also predicted the quality of answers and breast cancer risk knowledge test scores.

  13. 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...

  14. Wumpus Advisor I. A First Implementation of a Program That Tutors Logical and Probabilistic Reasoning Skills. AI Memo 381.

    Science.gov (United States)

    Stansfield, James L.; And Others

    An Intelligent Computer Aided Instruction (ICAI) program that incorporates an Expert module which allows the tutor to compare the student's response to those generated by an expert was developed for use with Wumpus, a simple maze-exploration game. The Wumpus Advisor program offers advice to a player involved in choosing the best move in a game for…

  15. 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.

  16. 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.

  17. Conceptual Modeling for the Design of Intelligent and Emergent Information Systems

    OpenAIRE

    Loucopoulos, Pericles; Fayoumi, Amjad

    2016-01-01

    A key requirement to today’s fast changing economic environment is the ability of organizations to adapt dynamically in an effective and efficient manner. Information and Communication Technologies play a crucially important role in addressing such adaptation requirements. The notion of ‘intelligent software’ has emerged as a means by which enterprises can respond to changes in a reactive manner but also to explore, in a pro-active manner, possibilities for new business models. The developmen...

  18. Application of artificial intelligence (AI) concepts to the development of space flight parts approval model

    Science.gov (United States)

    Krishnan, G. S.

    1997-01-01

    A cost effective model which uses the artificial intelligence techniques in the selection and approval of parts is presented. The knowledge which is acquired from the specialists for different part types are represented in a knowledge base in the form of rules and objects. The parts information is stored separately in a data base and is isolated from the knowledge base. Validation, verification and performance issues are highlighted.

  19. 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.

  20. Intelligence: Real or artificial?

    Science.gov (United States)

    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 referred to behavior-environment relations and not to inferred internal structures and processes. It is concluded that if workers in artificial intelligence are to succeed in their general goal, then they must design machines that are adaptive, that is, that can learn. Thus, artificial intelligence researchers must discard their essentialist model of natural intelligence and adopt a selectionist model instead. Such a strategic change should lead them to the science of behavior analysis. PMID:22477051

  1. Comparison of two intelligent models to estimate the instantaneous ...

    Indian Academy of Sciences (India)

    ... they are 85.46 (w/m2), 3.08 (w/m2) and 5.41, respectively. As the results indicate, both models are able to estimate the amount of radiation well, while the neural network has a higher accuracy. The output of the modes for six other cities of Iran, with similar climate conditions, also proves the ability of the proposed models.

  2. Modeling and Control of Multivariable Process Using Intelligent Techniques

    Directory of Open Access Journals (Sweden)

    Subathra Balasubramanian

    2010-10-01

    Full Text Available For nonlinear dynamic systems, the first principles based modeling and control is difficult to implement. In this study, a fuzzy controller and recurrent fuzzy controller are developed for MIMO process. Fuzzy logic controller is a model free controller designed based on the knowledge about the process. In fuzzy controller there are two types of rule-based fuzzy models are available: one the linguistic (Mamdani model and the other is Takagi–Sugeno model. Of these two, Takagi-Sugeno model (TS has attracted most attention. The fuzzy controller application is limited to static processes due to their feedforward structure. But, most of the real-time processes are dynamic and they require the history of input/output data. In order to store the past values a memory unit is needed, which is introduced by the recurrent structure. The proposed recurrent fuzzy structure is used to develop a controller for the two tank heating process. Both controllers are designed and implemented in a real time environment and their performance is compared.

  3. Model business intelligence system design of quality products by using data mining in R Bakery Company

    Science.gov (United States)

    Fitriana, R.; Saragih, J.; Luthfiana, N.

    2017-12-01

    R Bakery company is a company that produces bread every day. Products that produced in that company have many different types of bread. Products are made in the form of sweet bread and wheat bread which have different tastes for every types of bread. During the making process, there were defects in the products which the defective product turns into reject product. Types of defects that are produced include burnt, sodden bread and shapeless bread. To find out the information about the defects that have been produced then by applying a designed model business intelligence system to create database and data warehouse. By using model business Intelligence system, it will generate useful information such as how many defect that produced by each of the bakery products. To make it easier to obtain such information, it can be done by using data mining method which data that we get is deep explored. The method of data mining is using k-means clustering method. The results of this intelligence business model system are cluster 1 with little amount of defect, cluster 2 with medium amount of defect and cluster 3 with high amount of defect. From OLAP Cube method can be seen that the defect generated during the 7 months period of 96,744 pieces.

  4. 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.

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

    Science.gov (United States)

    Chau, Kwok-wing

    2006-07-01

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

  6. 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.

  7. The Effects of Peer Tutoring on the Reading Comprehension Performance of Secondary Students with Disabilities: A Systematic Review

    Science.gov (United States)

    Alzahrani, Turkey; Leko, Melinda

    2018-01-01

    The purposes of this review were to examine the effects of peer tutoring models on the reading comprehension performance of secondary students with disabilities and to provide evidence of the extent to which peer tutoring can be considered an evidence-based practice (EBP) for improving reading comprehension performance among secondary students…

  8. 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). Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

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

    Directory of Open Access Journals (Sweden)

    R. Hajiabadi

    2016-10-01

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

  10. 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…

  11. A Typology of Approaches to Peer Tutoring: Unraveling Peer Tutors' Behavioural Strategies

    Science.gov (United States)

    Berghmans, Inneke; Neckebroeck, Fanny; Dochy, Filip; Struyven, Katrien

    2013-01-01

    Peer tutors' behaviour has been stated to have the power to create and increase learning opportunities within peer tutoring programs. However, previous studies have shown that peer tutors struggle to adopt facilitative and constructivist-oriented strategies, as they lean more towards directive and knowledge-telling strategies. This study aims…

  12. Triangulation in the Writing Center: Tutor, Tutee, and Instructor Perceptions of the Tutor's Role.

    Science.gov (United States)

    Thonus, Terese

    2001-01-01

    Investigates how participant expectations are enacted in tutorial conversations and in self-reported role perceptions. Considers how tutors, tutees, and course instructors perceived the tutor's role. Examines the tensions implicit in expectations they hold of the tutor's role(s), especially as they compare to those of the course instructor. (SG)

  13. The Experience of Class Tutors in a Peer Tutoring Programme: A Novel Theoretical Framework

    Science.gov (United States)

    Outhred, Tim; Chester, Andrea

    2010-01-01

    The following paper presents the first known examination of the experiences of class tutors within a peer-assisted learning program. Three female first-year class tutors, aged 25-28 years, provided insight into how they experienced a novel peer tutoring program embedded in their tutorials. Using grounded theory techniques, it was found that the…

  14. Cognitive model of image interpretation for artificial intelligence applications

    International Nuclear Information System (INIS)

    Raju, S.

    1988-01-01

    A cognitive model of imaging diagnosis was devised to aid in the development of expert systems that assist in the interpretation of diagnostic images. In this cognitive model, a small set of observations that are strongly predictive of a particular diagnosis lead to a search for other observations that would support this diagnosis but are not necessarily specific for it. Then a set of alternative diagnoses is considered. This is followed by a search for observations that might allow differentiation of the primary diagnostic consideration from the alternatives. The production rules needed to implement this model can be classified into three major categories, each of which have certain general characteristics. Knowledge of these characteristics simplifies the development of these expert systems

  15. AN INTELLIGENT HYBRID NEURAL NETWORK MODEL IN RENEWABLE ENERGY SYSTEMS

    Directory of Open Access Journals (Sweden)

    K. Gnana Sheela

    2012-07-01

    Full Text Available This paper presents a hybrid neural network approach to predict wind speed automatically in renewable energy systems. Wind energy is one of the renewable energy systems with lowest cost of production of electricity with largest resources available. By the reason of the fluctuation and volatility in wind, the wind speed prediction provides the challenges in the stability of renewable energy system. The aim is to compute predicted wind speed based on hybrid model which integrates a Self Organizing Map (SOM and Back propagation (BP neural network. The simulation result shows that the proposed approach provides significant result of wind speed prediction with less error rates. Due to seasonality, single computing models have some disadvantages such as fluctuality, randomness and unstable. These disadvantages are rectified by using hybrid computing neural network models. Wind speed prediction is an important in the field of wind power plants.

  16. 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...

  17. Intelligence Essentials for Everyone

    Science.gov (United States)

    1999-06-01

    the IC adopt this Joint Intelli- gence Virtual Architecture model to take advantage of technological developments, reduce bureau- cratic barriers, and...intelligence. For example, major U.S. auto makers purchase their competitors’ models as soon as they appear in the showrooms . The new cars are taken...devised the Joint Intelligence Virtual Architecture (JIVA) concept to accelerate and streamline the entire intelligence process. Under JIVA, intelligence

  18. 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.

  19. Advances in Games Technology: Software, Models, and Intelligence

    Science.gov (United States)

    Prakash, Edmond; Brindle, Geoff; Jones, Kevin; Zhou, Suiping; Chaudhari, Narendra S.; Wong, Kok-Wai

    2009-01-01

    Games technology has undergone tremendous development. In this article, the authors report the rapid advancement that has been observed in the way games software is being developed, as well as in the development of games content using game engines. One area that has gained special attention is modeling the game environment such as terrain and…

  20. IMPLEMENTASI PEER TUTORING DENGAN PENDEKATAN INQUIRY BERBANTUAN CD PEMBELAJARAN TERHADAP HASIL BELAJAR

    Directory of Open Access Journals (Sweden)

    Ratih Kusumawati

    2012-10-01

    Full Text Available Tujuan penelitian ini adalah untuk mengetahui: (1 apakah hasil belajar peserta didik yang dikenai model peer tutoring dengan pendekatan inquiry berbantuan CD pembelajaran pada materi garis singgung lingkaran mencapai ketuntasan belajar, (2 apakah hasil belajar peserta didik yang dikenai model peer tutoring dengan pendekatan inquiry berbantuan CD pembelajaran lebih baik dari hasil belajar peserta didik yang dikenai model ekspositori, dan (3 Apakah ada pengaruh aktivitas peserta didik pada pembelajaran peer tutoring dengan pendekatan inquiry berbantuan CD pembelajaran terhadap hasil belajar peserta didik. Populasi dalam penelitian ini adalah peserta didik kelas VIII SMP Negeri 3 Boja tahun pelajaran 2011/2012. Melalui teknik cluster random sampling, diperoleh kelas VIIIE sebagai kelas eksperimen dan kelas VIIID sebagai kelas kontrol. Metode pengumpulan data yang digunakan meliputi metode tes dan metode observasi. Analisis yang digunakan meliputi uji normalitas, uji homogenitas, uji ketuntasan klasikal, uji perbedaan rata-rata dan analisis regresi. Hasil penelitian menunjukkan bahwa 93% dari hasil belajar peserta didik pada pembelajaran peer tutoring mencapai ketuntasan, rata-rata nilai hasil belajar peserta didik yang dikenai model peer tutoring dengan pendekatan inquiry berbantuan CD pembelajaran lebih baik dari rata-rata hasil belajar peserta didik yang dikenai model ekspositori, dan ada pengaruh aktivitas peserta didik terhadap pencapaian hasil belajar sebesar sebesar 81,72%. Berdasarkan hasil penelitian tersebut, disarankan kepada guru matematika agar menerapkan model pembelajaran peer tutoring dengan pendekatan inquiry berbantuan CD Pembelajaran dalam menyampaikan materi garis singgung lingkaran untuk meningkatkan hasil belajar peserta didik.