WorldWideScience

Sample records for citizen problem solving

  1. The Citizen Cyberscience Lectures - 1) Mobile phones and Africa: a success story 2) Citizen Problem Solving

    CERN Document Server

    CERN. Geneva; Bingham, Alpheus

    2009-01-01

    Dr. Alpheus Bingham, InnoCentive The Citizen Cyberscience Lectures are hosted by the partners of the Citizen Cyberscience Centre, CERN, The UN Institute of Training and Research and the University of Geneva. The goal of the Lectures is to provide an inspirational forum for participants from the various international organizations and academic institutions in Geneva to explore how information technology is enabling greater citizen participation in tackling global development challenges as well as global scientific research. The first Citizen Cyberscience Lectures will welcome two speakers who have both made major innovative contributions in this area. Dr. Mo Ibrahim, founder of Celtel International, one of Africa’s most successful mobile network operators, will talk about “Mobile phones and Africa: a success story”. Dr. Alpheus Bingham, founder of InnoCentive, a Web-based community that solves indus...

  2. In Search of Facilitating Citizens' Problem Solving: Public Libraries' Collaborative Development of Services with Related Organizations

    Science.gov (United States)

    Ikeya, Nozomi; Tamura, Shunsaku; Miwa, Makiko; Koshizuka, Mika; Saito, Seiichi; Kasai, Yumiko

    2011-01-01

    Introduction: The paper attempts to understand value constellations in organising and using the business information service that was recently developed by various stakeholders with libraries who were in pursuit of supporting people's problem solving in Japanese public libraries. Method: In-depth interviews were conducted not only with users and…

  3. Building Virtual Cities, Inspiring Intelligent Citizens: Digital Games for Developing Students' Problem Solving and Learning Motivation

    Science.gov (United States)

    Yang, Ya-Ting Carolyn

    2012-01-01

    This study investigates the effectiveness digital game-based learning (DGBL) on students' problem solving, learning motivation, and academic achievement. In order to provide substantive empirical evidence, a quasi-experimental design was implemented over the course of a full semester (23 weeks). Two ninth-grade Civics and Society classes, with a…

  4. Thinking and problem solving

    OpenAIRE

    Frensch, Peter; Funke, Joachim

    2005-01-01

    Human thinking, and in particular, the human ability to solve complex, real-life problems contributes more than any other human ability to the development of human culture and the growth and development of human life on earth. However, the human ability to solve complex problems is still not well understood, partly because it has for a long time been largely ignored by traditional problem-solving research in the field of psychology. In this article, we present a definition of complex problem ...

  5. Group Problem Solving

    CERN Document Server

    Laughlin, Patrick R

    2011-01-01

    Experimental research by social and cognitive psychologists has established that cooperative groups solve a wide range of problems better than individuals. Cooperative problem solving groups of scientific researchers, auditors, financial analysts, air crash investigators, and forensic art experts are increasingly important in our complex and interdependent society. This comprehensive textbook--the first of its kind in decades--presents important theories and experimental research about group problem solving. The book focuses on tasks that have demonstrably correct solutions within mathematical

  6. Solving Word Problems.

    Science.gov (United States)

    Karrison, Joan; Carroll, Margaret Kelly

    1991-01-01

    Students with language and learning disabilities may have difficulty solving mathematics word problems. Use of a sequential checklist, identifying clues and keywords, and illustrating a problem can all help the student identify and implement the correct computational process. (DB)

  7. Problem Solving and Learning

    CERN Document Server

    Singh, Chandralekha

    2016-01-01

    One finding of cognitive research is that people do not automatically acquire usable knowledge by spending lots of time on task. Because students' knowledge hierarchy is more fragmented, "knowledge chunks" are smaller than those of experts. The limited capacity of short term memory makes the cognitive load high during problem solving tasks, leaving few cognitive resources available for metacognition. The abstract nature of the laws of physics and the chain of reasoning required to draw meaningful inferences makes these issues critical. In order to help students, it is crucial to consider the difficulty of a problem from the perspective of students. We are developing and evaluating interactive problem-solving tutorials to help students in the introductory physics courses learn effective problem-solving strategies while solidifying physics concepts. The self-paced tutorials can provide guidance and support for a variety of problem solving techniques, and opportunity for knowledge and skill acquisition.

  8. Mathematics as Problem Solving.

    Science.gov (United States)

    Soifer, Alexander

    This book contains about 200 problems. It is suggested that it be used by students, teachers or anyone interested in exploring mathematics. In addition to a general discussion on problem solving, there are problems concerned with number theory, algebra, geometry, and combinatorics. (PK)

  9. Creativity and Problem Solving

    DEFF Research Database (Denmark)

    Vidal, Rene Victor Valqui

    2004-01-01

    This paper presents some modern and interdisciplinary concepts about creativity and creative processes of special relevance for Operational Research workers. Central publications in the area Creativity-Operational Research are shortly reviewed. Some creative tools and the Creative Problem Solving...

  10. Creative Problem Solving

    Institute of Scientific and Technical Information of China (English)

    岳科来

    2016-01-01

    There have considerable number of design philosophies and design methods in this world,but today I’d like to intorduce a new design problem solving system which comes from Chinese traditonal religion Dao.

  11. Solving Environmental Problems

    DEFF Research Database (Denmark)

    Grimpe, Christoph; Ørding Olsen, Anders; Sofka, Wolfgang

    dispersed. As a result, firms frequently collaborate with international partners. We shed new light on collaborative search strategies led by firms in general and for solving environmental problems in particular. Both topics are largely absent in the extant open innovation literature. Using data from...... the European Seventh Framework Programme for research and technological development, our results indicate that the problem solving potential of a search strategy increases with the diversity of existing knowledge of the partners in a consortium and with the experience of the partners involved. Moreover, we...

  12. Simon on problem solving

    DEFF Research Database (Denmark)

    Foss, Kirsten; Foss, Nicolai Juul

    2006-01-01

    as a general approach to problem solving. We apply these Simonian ideas to organisational issues, specifically new organisational forms. Specifically, Simonian ideas allow us to develop a morphology of new organisational forms and to point to some design problems that characterise these forms.......Two of Herbert Simon's best-known papers are 'The Architecture of Complexity' and 'The Structure of Ill-Structured Problems.' We discuss the neglected links between these two papers, highlighting the role of decomposition in the context of problems on which constraints have been imposed...

  13. Appreciative Problem Solving

    DEFF Research Database (Denmark)

    Hansen, David

    2012-01-01

    Many industrial production work systems have increased in complexity, and their new business model scompete on innovation, rather than low cost.At a medical device production facility committed to Lean Production, a research project was carried out to use Appreciative Inquiry to better engage...... employee strengths in continuou simprovements of the work system. The research question was: “How can Lean problem solving and Appreciative Inquiry be combined for optimized work system innovation?” The research project was carried out as a co-creation process with close cooperation between researcher...... and participants and was documented by qualitative methods. This paper presents an academic literature review on Appreciative Inquiry and problem solving for continuous improvements that did not reveal successful attempts in combining the two.Both the literature and the empirical study showed one of the main...

  14. Creativity and problem Solving

    Directory of Open Access Journals (Sweden)

    René Victor Valqui Vidal

    2004-12-01

    Full Text Available This paper presents some modern and interdisciplinary concepts about creativity and creative processes of special relevance for Operational Research workers. Central publications in the area Creativity-Operational Research are shortly reviewed. Some creative tools and the Creative Problem Solving approach are also discussed. Finally, some applications of these concepts and tools are outlined. Some central references are presented for further study of themes related to creativity or creative tools.

  15. How to solve mathematical problems

    CERN Document Server

    Wickelgren, Wayne A

    1995-01-01

    Seven problem-solving techniques include inference, classification of action sequences, subgoals, contradiction, working backward, relations between problems, and mathematical representation. Also, problems from mathematics, science, and engineering with complete solutions.

  16. Solving complex fisheries management problems

    DEFF Research Database (Denmark)

    Petter Johnsen, Jahn; Eliasen, Søren Qvist

    2011-01-01

    A crucial issue for the new EU common fisheries policy is how to solve the discard problem. Through a study of the institutional set up and the arrangements for solving the discard problem in Denmark, the Faroe Islands, Iceland and Norway, the article identifies the discard problem as related...

  17. Problem Solving vis Soap Bubbles

    Science.gov (United States)

    Bader, William A.

    1975-01-01

    Describes the use of a scientific phenomenon related to the concept of surface tension as an intriguing vehicle to direct attention to useful problem solving techniques. The need for a definite building process in attempts to solve mathematical problems is stressed. (EB)

  18. Combinatorial reasoning to solve problems

    NARCIS (Netherlands)

    Coenen, Tom; Hof, Frits; Verhoef, Nellie

    2016-01-01

    This study reports combinatorial reasoning to solve problems. We observed the mathematical thinking of students aged 14-16. We study the variation of the students’ solution strategies in the context of emergent modelling. The results show that the students are tempted to begin the problem solving pr

  19. Learning Impasses in Problem Solving

    Science.gov (United States)

    Hodgson, J. P. E.

    1992-01-01

    Problem Solving systems customarily use backtracking to deal with obstacles that they encounter in the course of trying to solve a problem. This paper outlines an approach in which the possible obstacles are investigated prior to the search for a solution. This provides a solution strategy that avoids backtracking.

  20. Difficulties in Genetics Problem Solving.

    Science.gov (United States)

    Tolman, Richard R.

    1982-01-01

    Examined problem-solving strategies of 30 high school students as they solved genetics problems. Proposes a new sequence of teaching genetics based on results: meiosis, sex chromosomes, sex determination, sex-linked traits, monohybrid and dihybrid crosses (humans), codominance (humans), and Mendel's pea experiments. (JN)

  1. Children Solve Problems.

    Science.gov (United States)

    De Bono, Edward

    A group of children were presented with several tasks, including the invention of a sleep machine and a machine to weigh elephants. The tasks were chosen to involve the children in coping with problems of a distinct character. A study of the children's drawings and interpretations shows that children's thinking ability is not very different from…

  2. Simon on Problem-Solving

    DEFF Research Database (Denmark)

    Foss, Kirsten; Foss, Nicolai

    as a general approach to problem solving. We apply these Simonian ideas to organizational issues, specifically new organizational forms. Specifically, Simonian ideas allow us to develop a morphology of new organizational forms and to point to some design problems that characterize these forms.Keywords: Herbert...... Simon, problem-solving, new organizational forms. JEL Code: D23, D83......Two of Herbert Simon's best-known papers are "The Architecture of Complexity" and "The Structure of Ill-Structured Problems." We discuss the neglected links between these two papers, highlighting the role of decomposition in the context of problems on which constraints have been imposed...

  3. Problem, Problem Solving And Critical Thinking

    OpenAIRE

    TÜRNÜKLÜ, Elif B.; YEŞİLDERE, Sibel

    2005-01-01

    Critical thinking is an essential skill that all people from various sectors should have and need. Problem solving skill which is one of the main purpose of mathematics teaching can be effective in developing critical thinking. The purpose of this study is to emphasize the importance of problem solving in developing critical thinking skills and to expose critical thinking to the pre-service primary mathematics teachers. Aiming these, some mathematical critical thinking problems are prepa...

  4. Problem Solving and Complex Systems

    CERN Document Server

    Guinand, Frédéric

    2008-01-01

    The observation and modeling of natural Complex Systems (CSs) like the human nervous system, the evolution or the weather, allows the definition of special abilities and models reusable to solve other problems. For instance, Genetic Algorithms or Ant Colony Optimizations are inspired from natural CSs to solve optimization problems. This paper proposes the use of ant-based systems to solve various problems with a non assessing approach. This means that solutions to some problem are not evaluated. They appear as resultant structures from the activity of the system. Problems are modeled with graphs and such structures are observed directly on these graphs. Problems of Multiple Sequences Alignment and Natural Language Processing are addressed with this approach.

  5. Problem solving III: factors influencing classroom problem

    Directory of Open Access Journals (Sweden)

    Sayonara Salvador Cabral da Costa

    1997-05-01

    Full Text Available This paper presents a review of the literature in the area of problem solving, particularly in physics, focusing only on factors that influence classroom problem solving. Fifty-seven papers have been analyzed in terms of theoretical basis, investigated factors/methodology and findings/relevant factors, which were organized in a table that served as support for a synthesis made by the authors. It is the third of a four-paper series reviewing different aspects of the problem solving subject.

  6. Students' Problem Solving and Justification

    Science.gov (United States)

    Glass, Barbara; Maher, Carolyn A.

    2004-01-01

    This paper reports on methods of students' justifications of their solution to a problem in the area of combinatorics. From the analysis of the problem solving of 150 students in a variety of settings from high-school to graduate study, four major forms of reasoning evolved: (1) Justification by Cases, (2) Inductive Argument, (3) Elimination…

  7. Promote Problem-Solving Discourse

    Science.gov (United States)

    Bostic, Jonathan; Jacobbe, Tim

    2010-01-01

    Fourteen fifth-grade students gather at the front of the classroom as their summer school instructor introduces Jonathan Bostic as the mathematics teacher for the week. Before examining any math problems, Bostic sits at eye level with the students and informs them that they will solve problems over the next four days by working individually as…

  8. Solving Public Transit Scheduling Problems

    OpenAIRE

    Mesquita, Marta; Moz, Margarida; Paias, Ana; Paixão, José; Pato, Margarida Vaz; Respício, Ana

    2008-01-01

    Operational planning within public transit companies has been extensively tackled but still remains a challenging area for operations research models and techniques. This phase of the planning process comprises vehicle scheduling, crew scheduling and rostering problems. In this paper, a new integer mathematical formulation to describe the integrated vehicle-crew-rostering problem is presented. The method proposed to solve this multi-objective problem is a sequential algorithm considered withi...

  9. Aging and skilled problem solving.

    Science.gov (United States)

    Charness, N

    1981-03-01

    Information-processing models of problem solving too often are based on restrictive age ranges. On the other hand, gerontologists have investigated few problem-solving tasks and have rarely generated explicit models. As this article demonstrates, both fields can benefit by closer collaboration. One major issue in gerontology is whether aging is associated with irreversible decrement or developmental plasticity. If both processes occur, then an appropriate strategy for investigating aging is to equate age groups for molar problem-solving performance and search for differences in the underlying components. This strategy was adopted to examine the relation of age and skill to problem solving in chess. Chess players were selected to vary widely in age and skill such that these variables were uncorrelated. Problem-solving and memory tasks were administered. Skill level was the only significant predictor for accuracy in both a choose-a-move task and a speeded end-game evaluation task. Age (negatively) and skill (positively) jointly determined performance in an unexpected recall task. Efficient chunking in recall was positively related to skill, though negatively related to age. Recognition confidence, though not accuracy, was negatively related to age. Thus despite age-related declines in encoding and retrieval of information, older players match the problem-solving performance of equivalently skilled younger players. Apparently, they can search the problem space more efficiently, as evidenced by taking less time to select an equally good move. Models of chess skill that stress that role of encoding efficiency, as indexed by chunking in recall, need to be modified to account for performance over the life span.

  10. Methods of solving nonstandard problems

    CERN Document Server

    Grigorieva, Ellina

    2015-01-01

    This book, written by an accomplished female mathematician, is the second to explore nonstandard mathematical problems – those that are not directly solved by standard mathematical methods but instead rely on insight and the synthesis of a variety of mathematical ideas.   It promotes mental activity as well as greater mathematical skills, and is an ideal resource for successful preparation for the mathematics Olympiad. Numerous strategies and techniques are presented that can be used to solve intriguing and challenging problems of the type often found in competitions.  The author uses a friendly, non-intimidating approach to emphasize connections between different fields of mathematics and often proposes several different ways to attack the same problem.  Topics covered include functions and their properties, polynomials, trigonometric and transcendental equations and inequalities, optimization, differential equations, nonlinear systems, and word problems.   Over 360 problems are included with hints, ...

  11. Solving the drift control problem

    Directory of Open Access Journals (Sweden)

    Melda Ormeci Matoglu

    2015-12-01

    Full Text Available We model the problem of managing capacity in a build-to-order environment as a Brownian drift control problem. We formulate a structured linear program that models a practical discretization of the problem and exploit a strong relationship between relative value functions and dual solutions to develop a functional lower bound for the continuous problem from a dual solution to the discrete problem. Refining the discretization proves a functional strong duality for the continuous problem. The linear programming formulation is so badly scaled, however, that solving it is beyond the capabilities of standard solvers. By demonstrating the equivalence between strongly feasible bases and deterministic unichain policies, we combinatorialize the pivoting process and by exploiting the relationship between dual solutions and relative value functions, develop a mechanism for solving the LP without ever computing its coefficients. Finally, we exploit the relationship between relative value functions and dual solutions to develop a scheme analogous to column generation for refining the discretization so as to drive the gap between the discrete approximation and the continuous problem to zero quickly while keeping the LP small. Computational studies show our scheme is much faster than simply solving a regular discretization of the problem both in terms of finding a policy with a low average cost and in terms of providing a lower bound on the optimal average cost.

  12. Interactive problem solving using LOGO

    CERN Document Server

    Boecker, Heinz-Dieter; Fischer, Gerhard

    2014-01-01

    This book is unique in that its stress is not on the mastery of a programming language, but on the importance and value of interactive problem solving. The authors focus on several specific interest worlds: mathematics, computer science, artificial intelligence, linguistics, and games; however, their approach can serve as a model that may be applied easily to other fields as well. Those who are interested in symbolic computing will find that Interactive Problem Solving Using LOGO provides a gentle introduction from which one may move on to other, more advanced computational frameworks or more

  13. Problem solving through recreational mathematics

    CERN Document Server

    Averbach, Bonnie

    1999-01-01

    Historically, many of the most important mathematical concepts arose from problems that were recreational in origin. This book takes advantage of that fact, using recreational mathematics - problems, puzzles and games - to teach students how to think critically. Encouraging active participation rather than just observation, the book focuses less on mathematical results than on how these results can be applied to thinking about problems and solving them. Each chapter contains a diverse array of problems in such areas as logic, number and graph theory, two-player games of strategy, solitaire ga

  14. Human Problem Solving in 2008

    OpenAIRE

    Pizlo, Zygmunt

    2009-01-01

    This paper presents a bibliography of more than 200 references related to human problem solving, arranged by subject matter. The references were taken from PsycInfo database. Journal papers, book chapters, books and dissertations are included. The topics include human development, education, neuroscience, research in applied settings, as well as animal studies.

  15. Human Problem Solving in 2010

    OpenAIRE

    Pizlo, Zygmunt

    2012-01-01

    This paper presents a bibliography of 100 references related to human problem solving, arranged by subject matter. The references were taken from PsycInfo database. Journal papers, book chapters, and dissertations are included. The topics include human development, education, neuroscience, and research in applied settings, as well as animal studies.

  16. On transfer during problem solving

    NARCIS (Netherlands)

    R. Hamel; E. Jakab

    2013-01-01

    A puzzle is equally new for everyone who is presented with it for the first time. However, it is not if we take one’s previous knowledge into account. Some knowledge may be utilised while working on the puzzle. If this is the case, problem solving as well as the development of knowledge about the pu

  17. Human Problem Solving in 2006

    Science.gov (United States)

    Pizlo, Zygmunt

    2007-01-01

    This paper presents a bibliography of a little more than 100 references related to human problem solving, arranged by subject matter. The references were taken from PsycInfo and Compendex databases. Only journal papers, books and dissertations are included. The topics include human development, education, neuroscience, research in applied…

  18. Genetics problem solving and worldview

    Science.gov (United States)

    Dale, Esther

    The research goal was to determine whether worldview relates to traditional and real-world genetics problem solving. Traditionally, scientific literacy emphasized content knowledge alone because it was sufficient to solve traditional problems. The contemporary definition of scientific literacy is, "The knowledge and understanding of scientific concepts and processes required for personal decision-making, participation in civic and cultural affairs and economic productivity" (NRC, 1996). An expanded definition of scientific literacy is needed to solve socioscientific issues (SSI), complex social issues with conceptual, procedural, or technological associations with science. Teaching content knowledge alone assumes that students will find the scientific explanation of a phenomenon to be superior to a non-science explanation. Formal science and everyday ways of thinking about science are two different cultures (Palmer, 1999). Students address this rift with cognitive apartheid, the boxing away of science knowledge from other types of knowledge (Jedege & Aikenhead, 1999). By addressing worldview, cognitive apartheid may decrease and scientific literacy may increase. Introductory biology students at the University of Minnesota during fall semester 2005 completed a written questionnaire-including a genetics content-knowledge test, four genetic dilemmas, the Worldview Assessment Instrument (WAI) and some items about demographics and religiosity. Six students responded to the interview protocol. Based on statistical analysis and interview data, this study concluded the following: (1) Worldview, in the form of metaphysics, relates to solving traditional genetic dilemmas. (2) Worldview, in the form of agency, relates to solving traditional genetics problems. (3) Thus, worldview must be addressed in curriculum, instruction, and assessment.

  19. Anticipating Student Responses to Improve Problem Solving

    Science.gov (United States)

    Wallace, Ann H.

    2007-01-01

    This article illustrates how problem solving can be enhanced through careful planning and problem presentation. Often, students shut down or are turned off when presented with a problem to solve. The author describes how to motivate students to embrace a problem to be solved and provides helpful prompts to further the problem-solving process.…

  20. Human Problem Solving in 2006

    OpenAIRE

    Pizlo, Zygmunt

    2007-01-01

    This paper presents a bibliography of a little more than 100 references related to human problem solving, arranged by subject matter. The references were taken from PsycInfo and Compendex databases. Only journal papers, books and dissertations are included. The topics include human development, education, neuroscience, research in applied settings, as well as animal studies. A few references from artificial intelligence are also given.

  1. Journey toward Teaching Mathematics through Problem Solving

    Science.gov (United States)

    Sakshaug, Lynae E.; Wohlhuter, Kay A.

    2010-01-01

    Teaching mathematics through problem solving is a challenge for teachers who learned mathematics by doing exercises. How do teachers develop their own problem solving abilities as well as their abilities to teach mathematics through problem solving? A group of teachers began the journey of learning to teach through problem solving while taking a…

  2. A Citizen's Guide to Plastics in the Ocean: More than a Litter Problem. Second Edition.

    Science.gov (United States)

    O'Hara, Kathryn J.; And Others

    This publication gives an overview of the problems caused by plastic debris in the marine environment and describes how citizens and public officials are working together to solve these problems. Chapter I introduces the reader to the problems caused by plastic debris in the marine environment. Chapter II examines the types of debris that are…

  3. Community-powered problem solving.

    Science.gov (United States)

    Gouillart, Francis; Billings, Douglas

    2013-04-01

    Traditionally, companies have managed their constituencies with specific processes: marketing to customers, procuring from vendors, developing HR policies for employees, and so on. The problem is, such processes focus on repeatability and compliance, so they can lead to stagnation. Inviting your constituencies to collectively help you solve problems and exploit opportunities--"co-creation"--is a better approach. It allows you to continually tap the skills and insights of huge numbers of stakeholders and develop new ways to produce value for all. The idea is to provide stakeholders with platforms (physical and digital forums) on which they can interact, get them to start exploring new experiences and connections, and let the system grow organically. A co-creation initiative by a unit of Becton, Dickinson and Company demonstrates how this works. A global leader in syringes, BD set out to deepen its ties with hospital customers and help them reduce the incidence of infections from unsafe injection and syringe disposal practices. The effort began with a cross-functional internal team, brought in the hospital procurement and supply managers BD had relationships with, and then reached out to hospitals' infection-prevention and occupational health leaders. Eventually product designers, nurses, sustainability staffers, and even hospital CFOs were using the platform, contributing data that generated new best practices and reduced infections. PMID:23593769

  4. Problem Solving Appraisal of Delinquent Adolescents.

    Science.gov (United States)

    Perez, Ruperto M.; And Others

    The study investigated the following: (1) the relationship of problem solving appraisal to narcissistic vulnerability, locus of control, and depression; (2) the differences in problem solving appraisal, locus of control, and depression in first-time and repeat offenders; and (3) the prediction of problem solving appraisal by narcissistic…

  5. Perspectives on Problem Solving and Instruction

    Science.gov (United States)

    van Merrienboer, Jeroen J. G.

    2013-01-01

    Most educators claim that problem solving is important, but they take very different perspective on it and there is little agreement on how it should be taught. This article aims to sort out the different perspectives and discusses problem solving as a goal, a method, and a skill. As a goal, problem solving should not be limited to well-structured…

  6. Developing Creativity through Collaborative Problem Solving

    Science.gov (United States)

    Albert, Lillie R.; Kim, Rina

    2013-01-01

    This paper discusses an alternative approach for developing problem solving experiences for students. The major argument is that students can develop their creativity by engaging in collaborative problem solving activities in which they apply a variety of mathematical methods creatively to solve problems. The argument is supported by: considering…

  7. LEGO Robotics: An Authentic Problem Solving Tool?

    Science.gov (United States)

    Castledine, Alanah-Rei; Chalmers, Chris

    2011-01-01

    With the current curriculum focus on correlating classroom problem solving lessons to real-world contexts, are LEGO robotics an effective problem solving tool? This present study was designed to investigate this question and to ascertain what problem solving strategies primary students engaged with when working with LEGO robotics and whether the…

  8. Fibonacci's Triangle: A Vehicle for Problem Solving.

    Science.gov (United States)

    Ouellette, Hugh

    1979-01-01

    A method for solving certain types of problems is illustrated by problems related to Fibonacci's triangle. The method involves pattern recognition, generalizing, algebraic manipulation, and mathematical induction. (MP)

  9. Bit Preservation: A Solved Problem?

    Directory of Open Access Journals (Sweden)

    David S. H. Rosenthal

    2010-07-01

    Full Text Available For years, discussions of digital preservation have routinely featured comments such as “bit preservation is a solved problem; the real issues are ...”. Indeed, current digital storage technologies are not just astoundingly cheap and capacious, they are astonishingly reliable. Unfortunately, these attributes drive a kind of “Parkinson’s Law” of storage, in which demands continually push beyond the capabilities of systems implementable at an affordable price. This paper is in four parts:Claims, reviewing a typical claim of storage system reliability, showing that it provides no useful information for bit preservation purposes.Theory, proposing “bit half-life” as an initial, if inadequate, measure of bit preservation performance, expressing bit preservation requirements in terms of it, and showing that the requirements being placed on bit preservation systems are so onerous that the experiments required to prove that a solution exists are not feasible.Practice, reviewing recent research into how well actual storage systems preserve bits, showing that they fail to meet the requirements by many orders of magnitude.Policy, suggesting ways of dealing with this unfortunate situation.

  10. Citizen Sky, Solving the Mystery of epsilon Aurigae

    Science.gov (United States)

    Turner, Rebecca; Price, A.; Kloppenborg, B.; Henden, A.

    2010-01-01

    Citizen Sky is a multi-year, NSF funded citizen science project involving the bright star eps Aur. The project was conceived by the IYA 2009 working group on Research Experiences for Students, Teachers, and Citizen-Scientists. Citizen Sky goes beyond simple observing to include a major data analysis component. The goal is to introduce the participant to the full scientific process from background research to paper writing for a peer-reviewed journal. It begins with a 10 Star Training Program of several types of binary and transient variable stars that are easy to observe from suburban locations with the naked eye. Participants then move on to monitoring the rare and mysterious 2009-2011 eclipse (already underway) of epsilon Aurigae. This object undergoes eclipses only every 27.1 years and each eclipse lasts nearly two years. The star is bright enough to be seen with the naked eye from most urban areas. Training will be provided in observing techniques as well as basic data analysis of photometric and visual datasets (light curve and period analysis). The project also involves two public workshops, one on observing (already held in August of 2009) and one on data analysis and scientific paper writing (to be held in 2010.) This project has been made possible by the National Science Foundation.

  11. IDEAL Problem Solving dalam Pembelajaran Matematika

    Directory of Open Access Journals (Sweden)

    Eny Susiana

    2012-01-01

    Full Text Available Most educators agree that problem solving is among the most meaningful and importantkinds of learning and thingking. That is, the central focus of learning and instructionshould be learning to solve problems. There are several warrants supporting that claims.They are authenticity, relevance, problem solving engages deeper learning angtherefore enhances meaning making, and constructed to represent problems (problemsolving is more meaningful. It is the reason why we must provide teaching and learningto make student’s problem solving skill in progress. There are many informationprocessingmodels of problem solving, such as simplified model of the problem-solvingprocess by Gicks, Polya’s problem solving process etc. One of them is IDEAL problemsolving. Each letter of IDEAL is stand for an aspect of thinking that is important forproblem solving. IDEAL is identify problem, Define Goal, Explore possible strategies,Anticipate outcme and Act, and Look back and learn. Using peer interaction andquestion prompt in small group in IDEAL problem solving teaching and Learning canimprove problem solving skill.Kata kunci: IDEAL Problem Solving, Interaksi Sebaya, Pertanyaan Penuntun, KelompokKecil.

  12. Toward a Design Theory of Problem Solving.

    Science.gov (United States)

    Jonassen, David H.

    2000-01-01

    Proposes a metatheory of problem solving. Describes differences among problems in terms of their structured ness, domain specificity (abstractness), and complexity; describes individual differences that affect problem solving; and presents a typology of problems, each of which engages different cognitive, affective, and conative process and…

  13. IDEAL Problem Solving dalam Pembelajaran Matematika

    OpenAIRE

    Eny Susiana

    2012-01-01

    Most educators agree that problem solving is among the most meaningful and importantkinds of learning and thingking. That is, the central focus of learning and instructionshould be learning to solve problems. There are several warrants supporting that claims.They are authenticity, relevance, problem solving engages deeper learning angtherefore enhances meaning making, and constructed to represent problems (problemsolving) is more meaningful. It is the reason why we must provide teaching and l...

  14. Teaching Effective Problem Solving Strategies for Interns

    Science.gov (United States)

    Warren, Louis L.

    2005-01-01

    This qualitative study investigates what problem solving strategies interns learn from their clinical teachers during their internships. Twenty-four interns who completed their internship in the elementary grades shared what problem solving strategies had the greatest impact upon them in learning how to deal with problems during their internship.…

  15. Common Core: Solve Math Problems

    Science.gov (United States)

    Strom, Erich

    2012-01-01

    The new common core standards for mathematics demand that students (and teachers!) exhibit deeper conceptual understanding. That's music to the ears of education professor John Tapper, who says teachers have overemphasized teaching procedures--and getting right answers. In his new book, "Solving for Why," he makes a powerful case for moving beyond…

  16. Mobile serious games for collaborative problem solving.

    Science.gov (United States)

    Sanchez, Jaime; Mendoza, Claudia; Salinas, Alvaro

    2009-01-01

    This paper presents the results obtained from the implementation of a series of learning activities based on mobile serious games (MSG) for the development of problem-solving and collaborative skills in Chilean 8th grade students. Three MSGs were developed and played by teams of four students, who had to solve the problems posed by the game collaboratively. The data shows that the experimental group had a higher perception of their own skills of collaboration and of the plan execution dimension of problem solving than the control group, providing empirical evidence regarding the contribution of MSGs to the development of collaborative problem-solving skills.

  17. Disciplinary Foundations for Solving Interdisciplinary Scientific Problems

    Science.gov (United States)

    Zhang, Dongmei; Shen, Ji

    2015-10-01

    Problem-solving has been one of the major strands in science education research. But much of the problem-solving research has been conducted on discipline-based contexts; little research has been done on how students, especially individuals, solve interdisciplinary problems. To understand how individuals reason about interdisciplinary problems, we conducted an interview study with 16 graduate students coming from a variety of disciplinary backgrounds. During the interviews, we asked participants to solve two interdisciplinary science problems on the topic of osmosis. We investigated participants' problem reasoning processes and probed in their attitudes toward general interdisciplinary approach and specific interdisciplinary problems. Through a careful inductive content analysis of their responses, we studied how disciplinary, cognitive, and affective factors influenced their interdisciplinary problems-solving. We found that participants' prior discipline-based science learning experiences had both positive and negative influences on their interdisciplinary problem-solving. These influences were embodied in their conceptualization of the interdisciplinary problems, the strategies they used to integrate different disciplinary knowledge, and the attitudes they had toward interdisciplinary approach in general and specific interdisciplinary problems. This study sheds light on interdisciplinary science education by revealing the complex relationship between disciplinary learning and interdisciplinary problem-solving.

  18. Vibrations and Stability: Solved Problems

    DEFF Research Database (Denmark)

    Thomsen, Jon Juel

    Worked out solutions for exercise problems in J. J. Thomsen 'Vibrations and Stability: Advanced Theory, Analysis, and Tools', Springer, Berlin - Heidelberg, 2003.......Worked out solutions for exercise problems in J. J. Thomsen 'Vibrations and Stability: Advanced Theory, Analysis, and Tools', Springer, Berlin - Heidelberg, 2003....

  19. Tangram solved? Prefrontal cortex activation analysis during geometric problem solving.

    Science.gov (United States)

    Ayaz, Hasan; Shewokis, Patricia A; Izzetoğlu, Meltem; Çakır, Murat P; Onaral, Banu

    2012-01-01

    Recent neuroimaging studies have implicated prefrontal and parietal cortices for mathematical problem solving. Mental arithmetic tasks have been used extensively to study neural correlates of mathematical reasoning. In the present study we used geometric problem sets (tangram tasks) that require executive planning and visuospatial reasoning without any linguistic representation interference. We used portable optical brain imaging (functional near infrared spectroscopy--fNIR) to monitor hemodynamic changes within anterior prefrontal cortex during tangram tasks. Twelve healthy subjects were asked to solve a series of computerized tangram puzzles and control tasks that required same geometric shape manipulation without problem solving. Total hemoglobin (HbT) concentration changes indicated a significant increase during tangram problem solving in the right hemisphere. Moreover, HbT changes during failed trials (when no solution found) were significantly higher compared to successful trials. These preliminary results suggest that fNIR can be used to assess cortical activation changes induced by geometric problem solving. Since fNIR is safe, wearable and can be used in ecologically valid environments such as classrooms, this neuroimaging tool may help to improve and optimize learning in educational settings. PMID:23366983

  20. Problem Solving, Patterns, Probability, Pascal, and Palindromes.

    Science.gov (United States)

    Hylton-Lindsay, Althea Antoinette

    2003-01-01

    Presents a problem-solving activity, the birth order problem, and several solution-seeking strategies. Includes responses of current and prospective teachers and a comparison of various strategies. (YDS)

  1. The Process of Solving Complex Problems

    Science.gov (United States)

    Fischer, Andreas; Greiff, Samuel; Funke, Joachim

    2012-01-01

    This article is about Complex Problem Solving (CPS), its history in a variety of research domains (e.g., human problem solving, expertise, decision making, and intelligence), a formal definition and a process theory of CPS applicable to the interdisciplinary field. CPS is portrayed as (a) knowledge acquisition and (b) knowledge application…

  2. Problem Solving Software: What Does It Teach?

    Science.gov (United States)

    Duffield, Judith A.

    The purpose of this study was to examine the potential of computer-assisted instruction (CAI) for teaching problem solving skills. It was conducted in three phases. During the first phase, two pieces of problem solving software, "The King's Rule" and "Safari Search," were identified and analyzed. During the second phase, two groups of six…

  3. Lesion mapping of social problem solving

    OpenAIRE

    Aron K Barbey; Colom, Roberto; Paul, Erick J.; Chau, Aileen; Solomon, Jeffrey; Grafman, Jordan H.

    2014-01-01

    Barbey et al. investigate the neurobiology of social problem solving and its relation to psychometric intelligence, emotional intelligence, and personality in 144 patients with focal lesions. Results reveal the neural architecture of social problem solving and provide an integrative framework for understanding the social, psychometric, and emotional foundations of human intelligence.

  4. Artificial Ant Species on Solving Optimization Problems

    OpenAIRE

    Pintea, Camelia-M.

    2013-01-01

    During the last years several ant-based techniques were involved to solve hard and complex optimization problems. The current paper is a short study about the influence of artificial ant species in solving optimization problems. There are studied the artificial Pharaoh Ants, Lasius Niger and also artificial ants with no special specificity used commonly in Ant Colony Optimization.

  5. A Multivariate Model of Physics Problem Solving

    Science.gov (United States)

    Taasoobshirazi, Gita; Farley, John

    2013-01-01

    A model of expertise in physics problem solving was tested on undergraduate science, physics, and engineering majors enrolled in an introductory-level physics course. Structural equation modeling was used to test hypothesized relationships among variables linked to expertise in physics problem solving including motivation, metacognitive planning,…

  6. Mathematical Problem Solving through Sequential Process Analysis

    Science.gov (United States)

    Codina, A.; Cañadas, M. C.; Castro, E.

    2015-01-01

    Introduction: The macroscopic perspective is one of the frameworks for research on problem solving in mathematics education. Coming from this perspective, our study addresses the stages of thought in mathematical problem solving, offering an innovative approach because we apply sequential relations and global interrelations between the different…

  7. Measuring Problem Solving Skills in "Portal 2"

    Science.gov (United States)

    Shute, Valerie J.; Wang, Lubin

    2013-01-01

    This paper examines possible improvement to problem solving skills as a function of playing the video game "Portal 2." Stealth assessment is used in the game to evaluate students' problem solving abilities--specifically basic and flexible rule application. The stealth assessment measures will be validated against commonly accepted…

  8. Metacognition: Student Reflections on Problem Solving

    Science.gov (United States)

    Wismath, Shelly; Orr, Doug; Good, Brandon

    2014-01-01

    Twenty-first century teaching and learning focus on the fundamental skills of critical thinking and problem solving, creativity and innovation, and collaboration and communication. Metacognition is a crucial aspect of both problem solving and critical thinking, but it is often difficult to get students to engage in authentic metacognitive…

  9. Problem Solving Methods in Engineering Design

    DEFF Research Database (Denmark)

    Hartvig, Susanne C

    1999-01-01

    This short paper discusses typical engineering tasks and problem solving methods, based on a field study of engineering tasks at a Danish engineering firm. The field study has identified ten classes of design tasks and in this paper these classes are related to problem solving methods. The descri...

  10. Pre-Service Class Teacher' Ability in Solving Mathematical Problems and Skills in Solving Daily Problems

    Science.gov (United States)

    Aljaberi, Nahil M.; Gheith, Eman

    2016-01-01

    This study aims to investigate the ability of pre-service class teacher at University of Petrain solving mathematical problems using Polya's Techniques, their level of problem solving skills in daily-life issues. The study also investigates the correlation between their ability to solve mathematical problems and their level of problem solving…

  11. Solving the wrong hierarchy problem

    Science.gov (United States)

    Blinov, Nikita; Hook, Anson

    2016-06-01

    Many theories require augmenting the Standard Model with additional scalar fields with large order one couplings. We present a new solution to the hierarchy problem for these scalar fields. We explore parity- and Z_2 -symmetric theories where the Standard Model Higgs potential has two vacua. The parity or Z_2 copy of the Higgs lives in the minimum far from the origin while our Higgs occupies the minimum near the origin of the potential. This approach results in a theory with multiple light scalar fields but with only a single hierarchy problem, since the bare mass is tied to the Higgs mass by a discrete symmetry. The new scalar does not have a new hierarchy problem associated with it because its expectation value and mass are generated by dimensional transmutation of the scalar quartic coupling. The location of the second Higgs minimum is not a free parameter, but is rather a function of the matter content of the theory. As a result, these theories are extremely predictive. We develop this idea in the context of a solution to the strong CP problem. We show this mechanism postdicts the top Yukawa to be within 1 σ of the currently measured value and predicts scalar color octets with masses in the range 9-200 TeV.

  12. Solving the Wrong Hierarchy Problem

    CERN Document Server

    Blinov, Nikita

    2016-01-01

    Many theories require augmenting the Standard Model with additional scalar fields with large order one couplings. We present a new solution to the hierarchy problem for these scalar fields. We explore parity- and $\\mathbb{Z}_2$-symmetric theories where the Standard Model Higgs potential has two vacua. The parity or $\\mathbb{Z}_2$ copy of the Higgs lives in the minimum far from the origin while our Higgs occupies the minimum near the origin of the potential. This approach results in a theory with multiple light scalar fields but with only a single hierarchy problem, since the bare mass is tied to the Higgs mass by a discrete symmetry. The new scalar does not have a new hierarchy problem associated with it because its expectation value and mass are generated by dimensional transmutation of the scalar quartic coupling. The location of the second Higgs minimum is not a free parameter, but is rather a function of the matter content of the theory. As a result, these theories are extremely predictive. We develop thi...

  13. Solving complex problems a handbook

    CERN Document Server

    Schönwandt, Walter; Grunau, Jens; Utz, Jürgen; Voermanek, Katrin

    2014-01-01

    When you're planning something big, problems appear rather quickly. We hear of them on a daily basis. The bigger or more complex a task, the more we have to deal with complicated, multidisciplinary task formulations. In many cases it is architecture, including urban and spatial planning, but also politics and all types of organizational forms, irrespective of whether they are public authorities or private enterprises, which are expected to deliver functional solutions for such challenges. This is precisely where this book is helpful. It introduces a methodology for developing target-specific,

  14. Applying Cooperative Techniques in Teaching Problem Solving

    Directory of Open Access Journals (Sweden)

    Krisztina Barczi

    2013-12-01

    Full Text Available Teaching how to solve problems – from solving simple equations to solving difficult competition tasks – has been one of the greatest challenges for mathematics education for many years. Trying to find an effective method is an important educational task. Among others, the question arises as to whether a method in which students help each other might be useful. The present article describes part of an experiment that was designed to determine the effects of cooperative teaching techniques on the development of problem-solving skills.

  15. Assertiveness and problem solving in midwives

    OpenAIRE

    Yurtsal, Zeliha Burcu; Özdemir, Levent

    2015-01-01

    Background: Midwifery profession is required to bring solutions to problems and a midwife is expected to be an assertive person and to develop midwifery care. This study was planned to examine the relationship between assertiveness and problem-solving skills of midwives. Materials and Methods: This cross-sectional study was conducted with 201 midwives between July 2008 and February 2009 in the city center of Sivas. The Rathus Assertiveness Schedule (RAS) and Problem Solving Inventory (PSI) we...

  16. Insightful Problem Solving in an Asian Elephant

    OpenAIRE

    Preston Foerder; Marie Galloway; Tony Barthel; Moore, Donald E.; Diana Reiss

    2011-01-01

    The "aha" moment or the sudden arrival of the solution to a problem is a common human experience. Spontaneous problem solving without evident trial and error behavior in humans and other animals has been referred to as insight. Surprisingly, elephants, thought to be highly intelligent, have failed to exhibit insightful problem solving in previous cognitive studies. We tested whether three Asian elephants (Elephas maximus) would use sticks or other objects to obtain food items placed out-of-re...

  17. Solving computationally expensive engineering problems

    CERN Document Server

    Leifsson, Leifur; Yang, Xin-She

    2014-01-01

    Computational complexity is a serious bottleneck for the design process in virtually any engineering area. While migration from prototyping and experimental-based design validation to verification using computer simulation models is inevitable and has a number of advantages, high computational costs of accurate, high-fidelity simulations can be a major issue that slows down the development of computer-aided design methodologies, particularly those exploiting automated design improvement procedures, e.g., numerical optimization. The continuous increase of available computational resources does not always translate into shortening of the design cycle because of the growing demand for higher accuracy and necessity to simulate larger and more complex systems. Accurate simulation of a single design of a given system may be as long as several hours, days or even weeks, which often makes design automation using conventional methods impractical or even prohibitive. Additional problems include numerical noise often pr...

  18. Lesion mapping of social problem solving.

    Science.gov (United States)

    Barbey, Aron K; Colom, Roberto; Paul, Erick J; Chau, Aileen; Solomon, Jeffrey; Grafman, Jordan H

    2014-10-01

    Accumulating neuroscience evidence indicates that human intelligence is supported by a distributed network of frontal and parietal regions that enable complex, goal-directed behaviour. However, the contributions of this network to social aspects of intellectual function remain to be well characterized. Here, we report a human lesion study (n = 144) that investigates the neural bases of social problem solving (measured by the Everyday Problem Solving Inventory) and examine the degree to which individual differences in performance are predicted by a broad spectrum of psychological variables, including psychometric intelligence (measured by the Wechsler Adult Intelligence Scale), emotional intelligence (measured by the Mayer, Salovey, Caruso Emotional Intelligence Test), and personality traits (measured by the Neuroticism-Extraversion-Openness Personality Inventory). Scores for each variable were obtained, followed by voxel-based lesion-symptom mapping. Stepwise regression analyses revealed that working memory, processing speed, and emotional intelligence predict individual differences in everyday problem solving. A targeted analysis of specific everyday problem solving domains (involving friends, home management, consumerism, work, information management, and family) revealed psychological variables that selectively contribute to each. Lesion mapping results indicated that social problem solving, psychometric intelligence, and emotional intelligence are supported by a shared network of frontal, temporal, and parietal regions, including white matter association tracts that bind these areas into a coordinated system. The results support an integrative framework for understanding social intelligence and make specific recommendations for the application of the Everyday Problem Solving Inventory to the study of social problem solving in health and disease. PMID:25070511

  19. Lesion mapping of social problem solving.

    Science.gov (United States)

    Barbey, Aron K; Colom, Roberto; Paul, Erick J; Chau, Aileen; Solomon, Jeffrey; Grafman, Jordan H

    2014-10-01

    Accumulating neuroscience evidence indicates that human intelligence is supported by a distributed network of frontal and parietal regions that enable complex, goal-directed behaviour. However, the contributions of this network to social aspects of intellectual function remain to be well characterized. Here, we report a human lesion study (n = 144) that investigates the neural bases of social problem solving (measured by the Everyday Problem Solving Inventory) and examine the degree to which individual differences in performance are predicted by a broad spectrum of psychological variables, including psychometric intelligence (measured by the Wechsler Adult Intelligence Scale), emotional intelligence (measured by the Mayer, Salovey, Caruso Emotional Intelligence Test), and personality traits (measured by the Neuroticism-Extraversion-Openness Personality Inventory). Scores for each variable were obtained, followed by voxel-based lesion-symptom mapping. Stepwise regression analyses revealed that working memory, processing speed, and emotional intelligence predict individual differences in everyday problem solving. A targeted analysis of specific everyday problem solving domains (involving friends, home management, consumerism, work, information management, and family) revealed psychological variables that selectively contribute to each. Lesion mapping results indicated that social problem solving, psychometric intelligence, and emotional intelligence are supported by a shared network of frontal, temporal, and parietal regions, including white matter association tracts that bind these areas into a coordinated system. The results support an integrative framework for understanding social intelligence and make specific recommendations for the application of the Everyday Problem Solving Inventory to the study of social problem solving in health and disease.

  20. Molecular science solving global problems

    International Nuclear Information System (INIS)

    From the late 1940s to the late 1980s, the Department of Energy (DOE) had a critical role in the Cold War. Many sites were built to contribute to the nation's nuclear weapons effort. However, not enough attention was paid to how the waste generated at these facilities should be handled. As a result, a number of sites fouled the soil around them or dumped low-level radioactive waste into nearby rivers. A DOE laboratory is under construction with a charter to help. Called the Environmental Molecular Sciences Laboratory (EMSL), this national user facility will be located at DOE's Pacific Northwest Laboratory (PNL) in Richland, WA. This laboratory has been funded by DOE and Congress to play a major role as the nation confronts the enormous challenge of reducing environmental and human risks from hundreds of government and industrial waste sites in an economically viable manner. The original proposal for the EMSL took a number of twists and turns on its way to its present form, but one thing remained constant: the belief that safe, permanent, cost-effective solutions to many of the country's environmental problems could be achieved only by multidisciplinary teams working to understand and control molecular processes. The processes of most concern are those that govern the transport and transformation of contaminants, the treatment and storage of high-level mixed wastes, and the risks those contaminants ultimately pose to workers and the public

  1. Could HPS Improve Problem-Solving?

    Science.gov (United States)

    Coelho, Ricardo Lopes

    2013-05-01

    It is generally accepted nowadays that History and Philosophy of Science (HPS) is useful in understanding scientific concepts, theories and even some experiments. Problem-solving strategies are a significant topic, since students' careers depend on their skill to solve problems. These are the reasons for addressing the question of whether problem solving could be improved by means of HPS. Three typical problems in introductory courses of mechanics—the inclined plane, the simple pendulum and the Atwood machine—are taken as the object of the present study. The solving strategies of these problems in the eighteenth and nineteenth century constitute the historical component of the study. Its philosophical component stems from the foundations of mechanics research literature. The use of HPS leads us to see those problems in a different way. These different ways can be tested, for which experiments are proposed. The traditional solving strategies for the incline and pendulum problems are adequate for some situations but not in general. The recourse to apparent weights in the Atwood machine problem leads us to a new insight and a solving strategy for composed Atwood machines. Educational implications also concern the development of logical thinking by means of the variety of lines of thought provided by HPS.

  2. Problem Solving through an Optimization Problem in Geometry

    Science.gov (United States)

    Poon, Kin Keung; Wong, Hang-Chi

    2011-01-01

    This article adapts the problem-solving model developed by Polya to investigate and give an innovative approach to discuss and solve an optimization problem in geometry: the Regiomontanus Problem and its application to football. Various mathematical tools, such as calculus, inequality and the properties of circles, are used to explore and reflect…

  3. Solving the factorization problem with P systems

    Institute of Scientific and Technical Information of China (English)

    Alberto Leporati; Claudio Zandron; Giancarlo Mauri

    2007-01-01

    P systems have been used many times to face with computationally difficult problems, such as NP-complete decision problems and NP-hard optimization problems. In this paper we focus our attention on another computationally intractable problem: factorization. In particular, we first propose a simple method to encode binary numbers using multisets. Then, we describe three families of P systems: the first two allow to add and to multiply two binary encoded numbers, respectively, and the third solves the factorization problem.

  4. Emerging representation technologies for problem solving

    NARCIS (Netherlands)

    Jong, de Ton; Spector, J. Michael; Merrill, M. David; Elen, Jan; Bishop, M.J.

    2014-01-01

    When learners solve problems they often create an external representation to organize the information given in the problem statement, to translate this problem description into underlying domain terms, and to complete this with knowledge they already have. This representation is subsequently used to

  5. Solving Problems with the Percentage Bar

    Science.gov (United States)

    van Galen, Frans; van Eerde, Dolly

    2013-01-01

    At the end of primary school all children more of less know what a percentage is, but yet they often struggle with percentage problems. This article describes a study in which students of 13 and 14 years old were given a written test with percentage problems and a week later were interviewed about the way they solved some of these problems. In a…

  6. Imagination as the crank of problem solving

    DEFF Research Database (Denmark)

    Kolbæk, Ditte

    2016-01-01

    The aim for this study is to provide a deeper understanding learning from experience and problem solving in the context of work. I would like to explore imagination as a process of creating knowing from experience in teams that have solved a task together. My theoretical foundation is practice...

  7. Conceptual problem solving in high school physics

    Science.gov (United States)

    Docktor, Jennifer L.; Strand, Natalie E.; Mestre, José P.; Ross, Brian H.

    2015-12-01

    Problem solving is a critical element of learning physics. However, traditional instruction often emphasizes the quantitative aspects of problem solving such as equations and mathematical procedures rather than qualitative analysis for selecting appropriate concepts and principles. This study describes the development and evaluation of an instructional approach called Conceptual Problem Solving (CPS) which guides students to identify principles, justify their use, and plan their solution in writing before solving a problem. The CPS approach was implemented by high school physics teachers at three schools for major theorems and conservation laws in mechanics and CPS-taught classes were compared to control classes taught using traditional problem solving methods. Information about the teachers' implementation of the approach was gathered from classroom observations and interviews, and the effectiveness of the approach was evaluated from a series of written assessments. Results indicated that teachers found CPS easy to integrate into their curricula, students engaged in classroom discussions and produced problem solutions of a higher quality than before, and students scored higher on conceptual and problem solving measures.

  8. Information problem solving and mental effort

    NARCIS (Netherlands)

    Brand-Gruwel, Saskia; Frerejean, Jimmy

    2012-01-01

    Brand-Gruwel, S., & Frerejean, J. (2012, 5 September). Information problem solving and mental effort. Presentation at the EARLI ASC 2012 "Using eye tracking to design and evaluate education & training methods", Heerlen, The Netherlands.

  9. Productive Dialog During Collaborative Problem Solving

    CERN Document Server

    Hausmann, Robert G M; van de Sande, Carla; VanLehn, Kurt

    2008-01-01

    Collaboration is an important problem-solving skill; however, novice collaboration generally benefits from some kind of support. One possibility for supporting productive conversations between collaborators is to encourage pairs of students to provide explanations for their problem-solving steps. To test this possibility, we contrasted individuals who were instructed to self-explain problem-solving steps with dyads who were instructed to jointly explain problem-solving steps in the context of an intelligent tutoring system (ITS). The results suggest that collaboratively developed explanations prompted students to remediate their errors in dialog, as opposed to relying on the ITS for assistance, which is provided in the form of on-demand hints. The paper concludes with a discussion about implications for combining proven learning interventions.

  10. Physics: Quantum problems solved through games

    Science.gov (United States)

    Maniscalco, Sabrina

    2016-04-01

    Humans are better than computers at performing certain tasks because of their intuition and superior visual processing. Video games are now being used to channel these abilities to solve problems in quantum physics. See Letter p.210

  11. Photoreactors for Solving Problems of Environmental Pollution

    Science.gov (United States)

    Tchaikovskaya, O. N.; Sokolova, I. V.

    2015-04-01

    Designs and physical aspects of photoreactors, their capabilities for a study of kinetics and mechanisms of processes proceeding under illumination with light, as well as application of photoreactors for solving various applied problem are discussed.

  12. The art and science of problem solving

    DEFF Research Database (Denmark)

    Vidal, Rene Victor Valqui

    2005-01-01

    In this paper we will document that real-life problem solving in complex situations demands both rational (scientific) and intuitive (artistic) thinking. First, the concepts of art and science will be discussed; differences and similarities will be enhanced. Thereafter the concept of group problem...... solving facilitation both as science and art will be presented. A case study related to examination's planning will be discussed to illustrate the main concepts in practice. In addition, other cases studies will also be shortly presented....

  13. Solving traveling salesman problems by genetic algorithms

    Institute of Scientific and Technical Information of China (English)

    2003-01-01

    The gene section ordering on solving traveling salesman problems is analyzed by numerical experiments. Some improved crossover operations are presented. Several combinations of genetic operations are examined and the functions of these operations are analyzed. The essentiality of the ordering of the gene section and the significance of the evolutionary inversion operation are discussed. Some results and conclusions are obtained and given, which provide useful information for the implementation of the genetic operations for solving the traveling salesman problem.

  14. Methods for solving mathematical physics problems

    CERN Document Server

    Agoshkov, VI; Shutyaev, VP

    2006-01-01

    The book examines the classic and generally accepted methods for solving mathematical physics problems (method of the potential theory, the eigenfunction method, integral transformation methods, discretisation characterisation methods, splitting methods). A separate chapter is devoted to methods for solving nonlinear equations. The book offers a large number of examples of how these methods are applied to the solution of specific mathematical physics problems, applied in the areas of science and social activities, such as energy, environmental protection, hydrodynamics, theory of elasticity, etc.

  15. Introductory Problem Solving in Computer Science

    OpenAIRE

    Barnes, David J; Fincher, Sally; Thompson, Simon

    1997-01-01

    This paper describes our experiences in devising a lightweight, informal methodology for problem solving in introductory, university level, computer science. We first describe the original context of the experiment and the background to the methodology. We then give the details of the steps of the Problem Solving Cycle - Understanding, Designing, Writing and Reviewing - and the lessons we learned about our teaching from devising the material. We also present practical examples of how it has b...

  16. The Effect of Learning Environments Based on Problem Solving on Students’ Achievements of Problem Solving

    Directory of Open Access Journals (Sweden)

    Ilhan KARATAS

    2013-07-01

    Full Text Available Problem solving is recognized as an important life skill involving a range of processes including analyzing, interpreting, reasoning, predicting, evaluating and reflecting. For that reason educatingstudents as efficient problem solvers is an important role of mathematics education. Problem solving skill is the centre of mathematics curriculum. Students’ gaining of that skill in school mathematics is closely related with the learning environment to beformed and the roles given to the students. The aim of this study is to create a problem solving based learning environment to enhance the students’ problem solving skill. Within this scope, students’practiced activities and problems that provide them to proceed in Polya (1945’s problem solving phases and throughout the study, students’ success in problem solving have been evaluated. While experimental group students received problem solving based learning environment performed, control group students have continued their present program in this quise1experimental study. Eleven problem solving activities were given to the students at the beginning, middle and end of the study and the students’ performances wereanalyzed based on problem solving phases. The findings illustrated that the experimental group students’ success in problem solving activities has increased while the control group students’ success has not changed significantly.

  17. On Teaching Problem Solving in School Mathematics

    Directory of Open Access Journals (Sweden)

    Erkki Pehkonen

    2013-12-01

    Full Text Available The article begins with a brief overview of the situation throughout the world regarding problem solving. The activities of the ProMath group are then described, as the purpose of this international research group is to improve mathematics teaching in school. One mathematics teaching method that seems to be functioning in school is the use of open problems (i.e., problem fields. Next we discuss the objectives of the Finnish curriculum that are connected with problem solving. Some examples and research results are taken from a Finnish–Chilean research project that monitors the development of problem-solving skills in third grade pupils. Finally, some ideas on “teacher change” are put forward. It is not possible to change teachers, but only to provide hints for possible change routes: the teachers themselves should work out the ideas and their implementation.

  18. Fostering Information Problem Solving Skills Through Completion Problems and Prompts

    NARCIS (Netherlands)

    Frerejean, Jimmy; Brand-Gruwel, Saskia; Kirschner, Paul A.

    2012-01-01

    Frerejean, J., Brand-Gruwel, S., & Kirschner, P. A. (2012, September). Fostering Information Problem Solving Skills Through Completion Problems and Prompts. Poster presented at the EARLI SIG 6 & 7 "Instructional Design" and "Learning and Instruction with Computers", Bari, Italy.

  19. Fostering information problem solving skills through completion problems and prompts

    NARCIS (Netherlands)

    Frerejean, Jimmy; Brand-Gruwel, Saskia; Kirschner, Paul A.

    2012-01-01

    Frerejean, J., Brand-Gruwel, S., & Kirschner, P. A. (2012, November). Fostering information problem solving skills through completion problems and prompts. Poster presented at the ICO Fall School 2012, Girona, Spain.

  20. Complex Problem Solving in a Workplace Setting.

    Science.gov (United States)

    Middleton, Howard

    2002-01-01

    Studied complex problem solving in the hospitality industry through interviews with six office staff members and managers. Findings show it is possible to construct a taxonomy of problem types and that the most common approach can be termed "trial and error." (SLD)

  1. The Functional Equivalence of Problem Solving Skills

    Science.gov (United States)

    Simon, Herbert A.

    1975-01-01

    This analysis of solutions to the Tower of Hanoi Problem underscores the importance of subject-by-subject analysis of "What is learned" in understanding human behavior in problem-solving situations, and provides a technique for describing subjects' task performance programs in detail. (Author/BJG)

  2. Problem-Solving: Scaling the "Brick Wall"

    Science.gov (United States)

    Benson, Dave

    2011-01-01

    Across the primary and secondary phases, pupils are encouraged to use and apply their knowledge, skills, and understanding of mathematics to solve problems in a variety of forms, ranging from single-stage word problems to the challenge of extended rich tasks. Amongst many others, Cockcroft (1982) emphasised the importance and relevance of…

  3. GIS Live and Web Problem Solving

    Science.gov (United States)

    Hagevik, R.; Hales, D.; Harrell, J.

    2007-01-01

    GIS Live is a live, interactive, web problem-solving (WPS) program that partners Geographic Information Systems (GIS) professionals with educators to implement geospatial technologies as curriculum-learning tools. It is a collaborative effort of many government agencies, educational institutions, and professional organizations. Problem-based…

  4. Pose and Solve Varignon Converse Problems

    Science.gov (United States)

    Contreras, José N.

    2014-01-01

    The activity of posing and solving problems can enrich learners' mathematical experiences because it fosters a spirit of inquisitiveness, cultivates their mathematical curiosity, and deepens their views of what it means to do mathematics. To achieve these goals, a mathematical problem needs to be at the appropriate level of difficulty,…

  5. The Effect of Learning Environments Based on Problem Solving on Students' Achievements of Problem Solving

    Science.gov (United States)

    Karatas, Ilhan; Baki, Adnan

    2013-01-01

    Problem solving is recognized as an important life skill involving a range of processes including analyzing, interpreting, reasoning, predicting, evaluating and reflecting. For that reason educating students as efficient problem solvers is an important role of mathematics education. Problem solving skill is the centre of mathematics curriculum.…

  6. Students' Errors in Solving the Permutation and Combination Problems Based on Problem Solving Steps of Polya

    Science.gov (United States)

    Sukoriyanto; Nusantara, Toto; Subanji; Chandra, Tjang Daniel

    2016-01-01

    This article was written based on the results of a study evaluating students' errors in problem solving of permutation and combination in terms of problem solving steps according to Polya. Twenty-five students were asked to do four problems related to permutation and combination. The research results showed that the students still did a mistake in…

  7. Encouraging Sixth-Grade Students' Problem-Solving Performance by Teaching through Problem Solving

    Science.gov (United States)

    Bostic, Jonathan D.; Pape, Stephen J.; Jacobbe, Tim

    2016-01-01

    This teaching experiment provided students with continuous engagement in a problem-solving based instructional approach during one mathematics unit. Three sections of sixth-grade mathematics were sampled from a school in Florida, U.S.A. and one section was randomly assigned to experience teaching through problem solving. Students' problem-solving…

  8. When Creative Problem Solving Strategy Meets Web-Based Cooperative Learning Environment in Accounting Education

    Science.gov (United States)

    Cheng, Kai Wen

    2011-01-01

    Background: Facing highly competitive and changing environment, cultivating citizens with problem-solving attitudes is one critical vision of education. In brief, the importance of education is to cultivate students with practical abilities. Realizing the advantages of web-based cooperative learning (web-based CL) and creative problem solving…

  9. Why students still can't solve physics problems after solving over 2000 problems

    Science.gov (United States)

    Byun, Taejin; Lee, Gyoungho

    2014-09-01

    This study investigates the belief that solving a large number of physics problems helps students better learn physics. We investigated the number of problems solved, student confidence in solving these problems, academic achievement, and the level of conceptual understanding of 49 science high school students enrolled in upper-level physics classes from Spring 2010 to Summer 2011. The participants solved an average of 2200 physics problems before entering high school. Despite having solved so many problems, no statistically significant correlation was found between the number of problems solved and academic achievement on either a mid-term or physics competition examination. In addition, no significant correlation was found between the number of physics problems solved and performance on the Force Concept Inventory (FCI). Lastly, four students were selected from the 49 participants with varying levels of experience and FCI scores for a case study. We determined that their problem solving and learning strategies was more influential in their success than the number of problems they had solved.

  10. The Effect of Problem Solving Teaching with Texts of Turkish Lesson on Students’ Problem Solving Skills

    Directory of Open Access Journals (Sweden)

    Havva ILGIN

    2012-08-01

    Full Text Available In this research, by carrying out activities based on texts, effect of providing problem solving skill on students’ levels of problem solving attainment was tried to be identified. Research was performed according to pretest-posttest Experimental Model with Control Group, in 2008-2009 educational year at second grade of an elementary school in Denizli province. For nine weeks, four hours in a week, while teacher guide book was being followed in control group in Turkish language lesson, texts were carried out with problem solving activities in experimental group. In the research, “Problem Solving Test” which were used as data collection tools, were developed by benefiting from matching of attainment-problem solving steps-cognitive domain steps. Problem Solving Test is made up of 16 multiple choice and 9 open ended questions. In the analysis of data, t test was used. It was found that problem solving teaching succeeded at “identifying different possible solutions in the light of collected data, applying the decided way of solution, evaluating types of solutions, evaluating used problem solving method” stages of problem solving.

  11. A Problem with Current Conceptions of Expert Problem Solving

    CERN Document Server

    Kuo, Eric; Gupta, Ayush; Elby, Andrew

    2011-01-01

    Current conceptions of expert problem solving depict physical/conceptual reasoning and formal mathematical reasoning as separate steps: a good problem solver first translates a physical understanding into mathematics, then performs mathematical/symbolic manipulations, then interprets the mathematical solution physically. However, other research suggests that blending conceptual and symbolic reasoning during symbolic manipulations can reflect expertise. We explore the hypothesis that blending conceptual and symbolic reasoning (i) indicates problem-solving expertise more than adherence to "expert" problem-solving steps and (ii) is something some undergraduates do spontaneously, suggesting it's a feasible instructional target. Interviewed students were asked to (1) explain a particular equation and (2) solve a problem using that equation. In-depth analysis of two students, Alex and Pat, revealed a pattern of behavior. All 11 interviews were coded to investigate the generalizability of this pattern. Alex describe...

  12. Insightful problem solving in an Asian elephant.

    Directory of Open Access Journals (Sweden)

    Preston Foerder

    Full Text Available The "aha" moment or the sudden arrival of the solution to a problem is a common human experience. Spontaneous problem solving without evident trial and error behavior in humans and other animals has been referred to as insight. Surprisingly, elephants, thought to be highly intelligent, have failed to exhibit insightful problem solving in previous cognitive studies. We tested whether three Asian elephants (Elephas maximus would use sticks or other objects to obtain food items placed out-of-reach and overhead. Without prior trial and error behavior, a 7-year-old male Asian elephant showed spontaneous problem solving by moving a large plastic cube, on which he then stood, to acquire the food. In further testing he showed behavioral flexibility, using this technique to reach other items and retrieving the cube from various locations to use as a tool to acquire food. In the cube's absence, he generalized this tool utilization technique to other objects and, when given smaller objects, stacked them in an attempt to reach the food. The elephant's overall behavior was consistent with the definition of insightful problem solving. Previous failures to demonstrate this ability in elephants may have resulted not from a lack of cognitive ability but from the presentation of tasks requiring trunk-held sticks as potential tools, thereby interfering with the trunk's use as a sensory organ to locate the targeted food.

  13. Insightful problem solving in an Asian elephant.

    Science.gov (United States)

    Foerder, Preston; Galloway, Marie; Barthel, Tony; Moore, Donald E; Reiss, Diana

    2011-01-01

    The "aha" moment or the sudden arrival of the solution to a problem is a common human experience. Spontaneous problem solving without evident trial and error behavior in humans and other animals has been referred to as insight. Surprisingly, elephants, thought to be highly intelligent, have failed to exhibit insightful problem solving in previous cognitive studies. We tested whether three Asian elephants (Elephas maximus) would use sticks or other objects to obtain food items placed out-of-reach and overhead. Without prior trial and error behavior, a 7-year-old male Asian elephant showed spontaneous problem solving by moving a large plastic cube, on which he then stood, to acquire the food. In further testing he showed behavioral flexibility, using this technique to reach other items and retrieving the cube from various locations to use as a tool to acquire food. In the cube's absence, he generalized this tool utilization technique to other objects and, when given smaller objects, stacked them in an attempt to reach the food. The elephant's overall behavior was consistent with the definition of insightful problem solving. Previous failures to demonstrate this ability in elephants may have resulted not from a lack of cognitive ability but from the presentation of tasks requiring trunk-held sticks as potential tools, thereby interfering with the trunk's use as a sensory organ to locate the targeted food. PMID:21876741

  14. Solving multiconstraint assignment problems using learning automata.

    Science.gov (United States)

    Horn, Geir; Oommen, B John

    2010-02-01

    This paper considers the NP-hard problem of object assignment with respect to multiple constraints: assigning a set of elements (or objects) into mutually exclusive classes (or groups), where the elements which are "similar" to each other are hopefully located in the same class. The literature reports solutions in which the similarity constraint consists of a single index that is inappropriate for the type of multiconstraint problems considered here and where the constraints could simultaneously be contradictory. This feature, where we permit possibly contradictory constraints, distinguishes this paper from the state of the art. Indeed, we are aware of no learning automata (or other heuristic) solutions which solve this problem in its most general setting. Such a scenario is illustrated with the static mapping problem, which consists of distributing the processes of a parallel application onto a set of computing nodes. This is a classical and yet very important problem within the areas of parallel computing, grid computing, and cloud computing. We have developed four learning-automata (LA)-based algorithms to solve this problem: First, a fixed-structure stochastic automata algorithm is presented, where the processes try to form pairs to go onto the same node. This algorithm solves the problem, although it requires some centralized coordination. As it is desirable to avoid centralized control, we subsequently present three different variable-structure stochastic automata (VSSA) algorithms, which have superior partitioning properties in certain settings, although they forfeit some of the scalability features of the fixed-structure algorithm. All three VSSA algorithms model the processes as automata having first the hosting nodes as possible actions; second, the processes as possible actions; and, third, attempting to estimate the process communication digraph prior to probabilistically mapping the processes. This paper, which, we believe, comprehensively reports the

  15. Hybrid evolutionary algorithms to solve scheduling problems

    OpenAIRE

    Minetti, Gabriela F.; Salto, Carolina; Bermúdez, Carlos; Fernandez, Natalia; Alfonso, Hugo; Gallard, Raúl Hector

    2002-01-01

    The choice of a search algorithm can play a vital role in the success of a scheduling application. Evolutionary algorithms (EAs) can be used to solve this kind of combinatorial optimization problems. Compared to conventional heuristics (CH) and local search techniques (LS), EAs are not well suited for fine-tuninf those structures, which are very close to optimal solutions. Therefore, in complex problems, it is essential to build hybrid evolutionary algorithms (HEA) by incorporating CH and/or ...

  16. Ukraine's Participation In Solving Climate Change Problems

    OpenAIRE

    Irina Dubovich; Mariana Bulgakova

    2011-01-01

    Attention is paid to some problems of climate change. The main international agreements on climate change are overviewed. Ukraine's participation in solving global problems of climate change is described. Ukraine's statement about plans to reduce greenhouse gas emissions is analyzed. Characteristic of environmental political and legal prerequisites for the need to create a general agreement on environmental security of the planet – World Environmental Constitution is provided.

  17. Teaching, Learning and Assessing Statistical Problem Solving

    Science.gov (United States)

    Marriott, John; Davies, Neville; Gibson, Liz

    2009-01-01

    In this paper we report the results from a major UK government-funded project, started in 2005, to review statistics and handling data within the school mathematics curriculum for students up to age 16. As a result of a survey of teachers we developed new teaching materials that explicitly use a problem-solving approach for the teaching and…

  18. Instruction Emphasizing Effort Improves Physics Problem Solving

    Science.gov (United States)

    Li, Daoquan

    2012-01-01

    Effectively using strategies to solve complex problems is an important educational goal and is implicated in successful academic performance. However, people often do not spontaneously use the effective strategies unless they are motivated to do so. The present study was designed to test whether educating students about the importance of effort in…

  19. ADHD and Problem-Solving in Play

    Science.gov (United States)

    Borg, Suzanne

    2009-01-01

    This paper reports a small-scale study to determine whether there is a difference in problem-solving abilities, from a play perspective, between individuals who are diagnosed as ADHD and are on medication and those not on medication. Ten children, five of whom where on medication and five not, diagnosed as ADHD predominantly inattentive type, were…

  20. Mental Imagery in Creative Problem Solving.

    Science.gov (United States)

    Polland, Mark J.

    In order to investigate the relationship between mental imagery and creative problem solving, a study of 44 separate accounts reporting mental imagery experiences associated with creative discoveries were examined. The data included 29 different scientists, among them Albert Einstein and Stephen Hawking, and 9 artists, musicians, and writers,…

  1. Latest Trends in Problem Solving Assessment

    Directory of Open Access Journals (Sweden)

    Maria Karyotaki

    2016-07-01

    Full Text Available Problem solving is the skill that coordinates all the cognitive, metacognitive and behavioral processes taking place when individuals encounter a previously unprecedented situation or difficulty. Metacognitive processes seem to play the most important role for resolving a problematic situation as individuals reflect on their acquired knowledge, skills and experiences, thus become aware of their capabilities and how to regulate them. Therefore, metacognitive awareness is the competence that mostly assists individuals in their attempt to construct new knowledge and reach their goals. Furthermore, individuals’ self-assessment and peer-assessment processes could reveal their level of metacognitive awareness and therefore, by far, their problem solving competency. Consequently, ICTs could capture individuals’ problem solving skills through tracking down and analyzing the latters’ cognitive and metacognitive processes as well as their behavioral patterns. The aforementioned computer-based assessment could consist of a fuzzy expert system with domain knowledge from an automated task-based test with particular solution strategies in combination with log data for identifying and classifying one’s level of problem solving ability according to specific criteria.

  2. Nanomedicine: Problem Solving to Treat Cancer

    Science.gov (United States)

    Hemling, Melissa A.; Sammel, Lauren M.; Zenner, Greta; Payne, Amy C.; Crone, Wendy C.

    2006-01-01

    Many traditional classroom science and technology activities often ask students to complete prepackaged labs that ensure that everyone arrives at the same "scientifically accurate" solution or theory, which ignores the important problem-solving and creative aspects of scientific research and technological design. Students rarely have the…

  3. Student Problem Solving in High School Genetics.

    Science.gov (United States)

    Stewart, James

    1983-01-01

    Describes set of specific steps (procedural knowledge) used when solving monohybrid/dihybrid cross problems and extent to which students could justify execution of each step in terms of their conceptual knowledge of genetics and meiosis. Implications for genetics instruction are discussed. (JN)

  4. Solving Wicked Problems through Action Learning

    Science.gov (United States)

    Crul, Liselore

    2014-01-01

    This account of practice outlines the Oxyme Action Learning Program which was conducted as part of the Management Challenge in my final year of the MSc in Coaching and Behavioral Change at Henley Business School. The central research questions were: (1) how action learning can help to solve wicked problems and (2) what the effect of an action…

  5. Should Children Learn to Solve Problems?

    Science.gov (United States)

    Watras, Joseph

    2011-01-01

    In this comparative essay, the author discusses the opposing educational theories of John Dewey and Gregory Bateson. While Dewey believed that the scientific method was the dominant method of solving problems and thereby acquiring knowledge that mattered, Bateson warned that this one-sided approach would lead to actions that could destroy the…

  6. Making Problem-Solving Simulations More Realistic.

    Science.gov (United States)

    Cotton, Samuel E.

    2002-01-01

    Many problem-solving activities include mathematical principles but students do not use them during the design and experimentation phases before creating a prototype or product. Restricting the amount and/or type of materials available to students will require them to calculate and requisition the materials needed. (JOW)

  7. Problem-Solving Test: Tryptophan Operon Mutants

    Science.gov (United States)

    Szeberenyi, Jozsef

    2010-01-01

    This paper presents a problem-solving test that deals with the regulation of the "trp" operon of "Escherichia coli." Two mutants of this operon are described: in mutant A, the operator region of the operon carries a point mutation so that it is unable to carry out its function; mutant B expresses a "trp" repressor protein unable to bind…

  8. Understanding Individual Problem-Solving Style: A Key to Learning and Applying Creative Problem Solving

    Science.gov (United States)

    Treffinger, Donald J.; Selby, Edwin C.; Isaksen, Scott G.

    2008-01-01

    More than five decades of research and development have focused on making the Creative Problem Solving process and tools accessible across a wide range of ages and contexts. Recent evidence indicates that when individuals, in both school and corporate settings, understand their own style of problem solving, they are able to learn and apply process…

  9. Writing about the Problem-Solving Process To Improve Problem-Solving Performance.

    Science.gov (United States)

    Williams, Kenneth M.

    2003-01-01

    Concludes that writing about the executive processes of problem solving, difficulties encountered, alternative strategies that might have been used, and the problem solving process in general helped students in the treatment group learn to use executive processes more quickly and more effectively than students in the control group. (Author/NB)

  10. Preschoolers' Cooperative Problem Solving: Integrating Play and Problem Solving

    Science.gov (United States)

    Ramani, Geetha B.; Brownell, Celia A.

    2014-01-01

    Cooperative problem solving with peers plays a central role in promoting children's cognitive and social development. This article reviews research on cooperative problem solving among preschool-age children in experimental settings and social play contexts. Studies suggest that cooperative interactions with peers in experimental settings are…

  11. Problem solving stages in the five square problem.

    Science.gov (United States)

    Fedor, Anna; Szathmáry, Eörs; Öllinger, Michael

    2015-01-01

    According to the restructuring hypothesis, insight problem solving typically progresses through consecutive stages of search, impasse, insight, and search again for someone, who solves the task. The order of these stages was determined through self-reports of problem solvers and has never been verified behaviorally. We asked whether individual analysis of problem solving attempts of participants revealed the same order of problem solving stages as defined by the theory and whether their subjective feelings corresponded to the problem solving stages they were in. Our participants tried to solve the Five-Square problem in an online task, while we recorded the time and trajectory of their stick movements. After the task they were asked about their feelings related to insight and some of them also had the possibility of reporting impasse while working on the task. We found that the majority of participants did not follow the classic four-stage model of insight, but had more complex sequences of problem solving stages, with search and impasse recurring several times. This means that the classic four-stage model is not sufficient to describe variability on the individual level. We revised the classic model and we provide a new model that can generate all sequences found. Solvers reported insight more often than non-solvers and non-solvers reported impasse more often than solvers, as expected; but participants did not report impasse more often during behaviorally defined impasse stages than during other stages. This shows that impasse reports might be unreliable indicators of impasse. Our study highlights the importance of individual analysis of problem solving behavior to verify insight theory.

  12. Optimal Planning and Problem-Solving

    Science.gov (United States)

    Clemet, Bradley; Schaffer, Steven; Rabideau, Gregg

    2008-01-01

    CTAEMS MDP Optimal Planner is a problem-solving software designed to command a single spacecraft/rover, or a team of spacecraft/rovers, to perform the best action possible at all times according to an abstract model of the spacecraft/rover and its environment. It also may be useful in solving logistical problems encountered in commercial applications such as shipping and manufacturing. The planner reasons around uncertainty according to specified probabilities of outcomes using a plan hierarchy to avoid exploring certain kinds of suboptimal actions. Also, planned actions are calculated as the state-action space is expanded, rather than afterward, to reduce by an order of magnitude the processing time and memory used. The software solves planning problems with actions that can execute concurrently, that have uncertain duration and quality, and that have functional dependencies on others that affect quality. These problems are modeled in a hierarchical planning language called C_TAEMS, a derivative of the TAEMS language for specifying domains for the DARPA Coordinators program. In realistic environments, actions often have uncertain outcomes and can have complex relationships with other tasks. The planner approaches problems by considering all possible actions that may be taken from any state reachable from a given, initial state, and from within the constraints of a given task hierarchy that specifies what tasks may be performed by which team member.

  13. SOLVING GLOBAL PROBLEMS USING COLLABORATIVE DESIGN PROCESSES

    DEFF Research Database (Denmark)

    Lenau, Torben Anker; Mejborn, Christina Okai

    2011-01-01

    new solutions that would help solve the global problem of sanitation. Lack of sanitation is a problem for 42% of the world’s population but it is also a taboo topic that only very few people will engage in. In the one-day workshop participants from very different areas came together and brought...... forward proposed solutions for how to design, brand and make business models for how to solve aspects of the sanitation problem. The workshop showed that it was possible to work freely with such a taboo topic and that in particular the use of visualisation tools, i.e. drawing posters and building simple......In this paper we argue that use of collaborative design processes is a powerful means of bringing together different stakeholders and generating ideas in complex design situations. The collaborative design process was used in a workshop with international participants where the goal was to propose...

  14. A Problem Solving Environment Based on CORBA

    Directory of Open Access Journals (Sweden)

    David Lancaster

    2001-01-01

    Full Text Available We have investigated aspects of the design of Problem Solving Environments (PSE by constructing a prototype using CORBA as middleware. The two issues we are mainly concerned with are the use of non-trivial (containing more than just a start method CORBA interfaces for the computational components, and the provision of interactivity using the same mechanisms used for flow control. After describing the design decisions that allow us to investigate these issues, and contrasting them with alternatives, we describe the architecture of the prototype and its use in the context of a study of photonic materials. We argue that having several methods on a component interface can be used to mitigate performance problems that may arise when trying to solve problems in PSE's based on small components. We describe how our mechanism allows a high degree of computational steering over all components.

  15. Predicting Positive Self-Efficacy in Group Problem Solving.

    Science.gov (United States)

    Wolf, Kay N.

    1997-01-01

    A study of 288 hospital employees engaged in problem-solving groups found that previous group problem-solving experience, educational level, work expertise, and problem-solving confidence were the best predictors of self-efficacy. (SK)

  16. Colorado Assessment of Problem Solving (CAPS) -- Identifying student's problem solving skills

    Science.gov (United States)

    Adams, Wendy; Wieman, Carl

    2009-05-01

    Problem solving is central to any physics curriculum and physics educators have put extensive effort into understanding successful problem solving; however, there is currently no efficient way to evaluate problem solving skill. Attempts have been made in the past; however, knowledge of the principles required to solve the subject problem are so absolutely critical that they completely overshadow any other skills students may use when solving a problem. The work presented here is unique because CAPS removes the requirement that the student already have a grasp of physics concepts. CAPS has been developed and validated at Colorado and measures a person's competence in 44 separate skills that are used when solving a wide range of in-depth problems including classical mechanics and quantum mechanics problems. Understanding the specific processes that impact how a person solves a problem identifies which components are specific to physics and those that transfer across discipline, and provides insight for improved methods for teaching. 1. Supported in part by funding from National Science Foundation

  17. The Effect of Learning Environments Based on Problem Solving on Students’ Achievements of Problem Solving

    OpenAIRE

    Ilhan KARATAS; Baki, Adnan

    2013-01-01

    Problem solving is recognized as an important life skill involving a range of processes including analyzing, interpreting, reasoning, predicting, evaluating and reflecting. For that reason educatingstudents as efficient problem solvers is an important role of mathematics education. Problem solving skill is the centre of mathematics curriculum. Students’ gaining of that skill in school mathematics is closely related with the learning environment to beformed and the roles given to the students....

  18. Geogebra for Solving Problems of Physics

    Science.gov (United States)

    Kllogjeri, Pellumb; Kllogjeri, Adrian

    Today is highly speed progressing the computer-based education, which allowes educators and students to use educational programming language and e-tutors to teach and learn, to interact with one another and share together the results of their work. In this paper we will be concentrated on the use of GeoGebra programme for solving problems of physics. We have brought an example from physics of how can be used GeoGebra for finding the center of mass(centroid) of a picture(or system of polygons). After the problem is solved graphically, there is an application of finding the center of a real object(a plate)by firstly, scanning the object and secondly, by inserting its scanned picture into the drawing pad of GeoGebra window and lastly, by finding its centroid. GeoGebra serve as effective tool in problem-solving. There are many other applications of GeoGebra in the problems of physics, and many more in different fields of mathematics.

  19. Learning via problem solving in mathematics education

    Directory of Open Access Journals (Sweden)

    Piet Human

    2009-09-01

    Full Text Available Three forms of mathematics education at school level are distinguished: direct expository teaching with an emphasis on procedures, with the expectation that learners will at some later stage make logical and functional sense of what they have learnt and practised (the prevalent form, mathematically rigorous teaching in terms of fundamental mathematical concepts, as in the so-called “modern mathematics” programmes of the sixties, teaching and learning in the context of engaging with meaningful problems and focused both on learning to become good problem solvers (teaching for problem solving andutilising problems as vehicles for the development of mathematical knowledge andproficiency by learners (problem-centred learning, in conjunction with substantialteacher-led social interaction and mathematical discourse in classrooms.Direct expository teaching of mathematical procedures dominated in school systems after World War II, and was augmented by the “modern mathematics” movement in the period 1960-1970. The latter was experienced as a major failure, and was soon abandoned. Persistent poor outcomes of direct expository procedural teaching of mathematics for the majority of learners, as are still being experienced in South Africa, triggered a world-wide movement promoting teaching mathematics for and via problem solving in the seventies and eighties of the previous century. This movement took the form of a variety of curriculum experiments in which problem solving was the dominant classroom activity, mainly in the USA, Netherlands, France and South Africa. While initially focusing on basic arithmetic (computation with whole numbers and elementary calculus, the problem-solving movement started to address other mathematical topics (for example, elementary statistics, algebra, differential equations around the turn of the century. The movement also spread rapidly to other countries, including Japan, Singapore and Australia. Parallel with the

  20. Spreadsheet modelling for solving combinatorial problems: The vendor selection problem

    CERN Document Server

    Ipsilandis, Pandelis G

    2008-01-01

    Spreadsheets have grown up and became very powerful and easy to use tools in applying analytical techniques for solving business problems. Operations managers, production managers, planners and schedulers can work with them in developing solid and practical Do-It-Yourself Decision Support Systems. Small and Medium size organizations, can apply OR methodologies without the presence of specialized software and trained personnel, which in many cases cannot afford anyway. This paper examines an efficient approach in solving combinatorial programming problems with the use of spreadsheets. A practical application, which demonstrates the approach, concerns the development of a spreadsheet-based DSS for the Multi Item Procurement Problem with Fixed Vendor Cost. The DSS has been build using exclusively standard spreadsheet feature and can solve real problems of substantial size. The benefits and limitations of the approach are also discussed.

  1. Learning Matlab a problem solving approach

    CERN Document Server

    Gander, Walter

    2015-01-01

    This comprehensive and stimulating introduction to Matlab, a computer language now widely used for technical computing, is based on an introductory course held at Qian Weichang College, Shanghai University, in the fall of 2014.  Teaching and learning a substantial programming language aren’t always straightforward tasks. Accordingly, this textbook is not meant to cover the whole range of this high-performance technical programming environment, but to motivate first- and second-year undergraduate students in mathematics and computer science to learn Matlab by studying representative problems, developing algorithms and programming them in Matlab. While several topics are taken from the field of scientific computing, the main emphasis is on programming. A wealth of examples are completely discussed and solved, allowing students to learn Matlab by doing: by solving problems, comparing approaches and assessing the proposed solutions.

  2. Prospects of solving grand challenge problems

    CERN Document Server

    Gupta, R

    1995-01-01

    The recent woes of the supercomputer industry and changes in federal funding have caused some scientists to re-evaluate the means by which they hope to solve Grand Challenge problems. I evaluate the potential of Massively Parallel Processors (MPP) within this context and the state of today's MPP. I stress that for solving large-scale problems MPP are crucial and that it is essential to seek a balance between CPU performance, memory access time, inter-node communications, and I/O. To achieve this it is important to preserve certain characteristics of the hardware while selecting the hottest processor to design the machine around. I emphasize that for long term stability and growth of parallel computing priority should be given to standardizing software so that the same code can run on different platforms and on machines ranging from clusters of workstations to MPP.

  3. New numerical methods for solving convection problems

    International Nuclear Information System (INIS)

    New methods for solving one-dimensional convection problems, have appeared recently: VAN LEER's generalization of GODUNOV'S method, BORIS and BOOK's SHASTA-FCT method, CHORIN and SOD's scheme, using a random method due to GLIMM. Its appears in a global analysis certain analogies between these methods. All of them can be interpreted as two-step schemes: a transport step and a projection step

  4. Solving tribology problems in rotating machines

    CERN Document Server

    Prashad, H

    2006-01-01

    Bearings are widely used in rotating machines. Understanding the factors affecting their reliability and service life is essential in ensuring good machine design and performance. Solving tribology problems in rotating machines reviews these factors and their implications for improved machine performance. The first two chapters review ways of assessing the performance and reliability of rolling-element bearings. The author then goes on to discuss key performance problems and the factors affecting bearing reliability. There are chapters on cage and roller slip, and particular types of failure i

  5. Comprehension and computation in Bayesian problem solving

    Directory of Open Access Journals (Sweden)

    Eric D. Johnson

    2015-07-01

    Full Text Available Humans have long been characterized as poor probabilistic reasoners when presented with explicit numerical information. Bayesian word problems provide a well-known example of this, where even highly educated and cognitively skilled individuals fail to adhere to mathematical norms. It is widely agreed that natural frequencies can facilitate Bayesian reasoning relative to normalized formats (e.g. probabilities, percentages, both by clarifying logical set-subset relations and by simplifying numerical calculations. Nevertheless, between-study performance on transparent Bayesian problems varies widely, and generally remains rather unimpressive. We suggest there has been an over-focus on this representational facilitator (i.e. transparent problem structures at the expense of the specific logical and numerical processing requirements and the corresponding individual abilities and skills necessary for providing Bayesian-like output given specific verbal and numerical input. We further suggest that understanding this task-individual pair could benefit from considerations from the literature on mathematical cognition, which emphasizes text comprehension and problem solving, along with contributions of online executive working memory, metacognitive regulation, and relevant stored knowledge and skills. We conclude by offering avenues for future research aimed at identifying the stages in problem solving at which correct versus incorrect reasoners depart, and how individual difference might influence this time point.

  6. Development of analogical problem-solving skill.

    Science.gov (United States)

    Holyoak, K J; Junn, E N; Billman, D O

    1984-12-01

    3 experiments were performed to assess children's ability to solve a problem by analogy to a superficially dissimilar situation. Preschoolers and fifth and sixth graders were asked to solve a problem that allowed multiple solutions. Some subjects were first read a story that included an analogous problem and its solution. When the mapping between the relations involved in the corresponding solutions was relatively simple, and the corresponding instruments were perceptually and functionally similar, even preschoolers were able to use the analogy to derive a solution to the transfer problem (Experiment 1). Furthermore, salient similarity of the instruments was neither sufficient (Experiment 2) nor necessary (Experiment 3) for success by preschool subjects. When the story analog mapped well onto the transfer problem, 4-year-olds were often able to generate a solution that required transformation of an object with little perceptual or semantic similarity to the instrument used in the base analog (Experiment 3). The older children used analogies in a manner qualitatively similar to that observed in comparable studies with adults (Experiment 1), whereas the younger children exhibited different limitations.

  7. Methods of Solving Ill-Posed Problems

    CERN Document Server

    Srinivasamurthy, Suresh B

    2012-01-01

    Many physical problems can be formulated as operator equations of the form Au = f. If these operator equations are ill-posed, we then resort to finding the approximate solutions numerically. Ill-posed problems can be found in the ?elds of mathematical analysis, mathematical physics, geophysics, medicine, tomography, technology and ecology. The theory of ill-posed problems was developed in the 1960's by several mathematicians, mostly Soviet and American. In this report we review the methods of solving ill-posed problems and recent developments in this ?eld. We review the variational regularization method, the method of quasi-solution, iterative regularization method and the dynamical systems method. We focus mainly on the dynamical systems method as it is found that the dynamical systems method is more effi?cient than the regularization procedure.

  8. Problem based teaching with other focuses than problem solving

    OpenAIRE

    Hansson, Per-Olof; Jansson, Per; Wihlborg, Elin

    2015-01-01

    Problem based teaching has been on the agenda in higher education for at least the last twenty years and is embedded in professional educations often to prepare students for real life problem solving. However, in when higher education rather aim to provide deeper theoretical and reflective competences promoting the students capacities to address unpredictable challenges in different contexts, there might be other ways of applying and using problem based educational tools. In this paper we des...

  9. The Effect of Problem Solving Teaching with Texts of Turkish Lesson on Students’ Problem Solving Skills

    OpenAIRE

    ILGIN, Havva; Arslan, Derya

    2012-01-01

    In this research, by carrying out activities based on texts, effect of providing problem solving skill on students’ levels of problem solving attainment was tried to be identified. Research was performed according to pretest-posttest Experimental Model with Control Group, in 2008-2009 educational year at second grade of an elementary school in Denizli province. For nine weeks, four hours in a week, while teacher guide book was being followed in control group in Turkish language lesson, texts ...

  10. A Flipped Pedagogy for Expert Problem Solving

    Science.gov (United States)

    Pritchard, David

    The internet provides free learning opportunities for declarative (Wikipedia, YouTube) and procedural (Kahn Academy, MOOCs) knowledge, challenging colleges to provide learning at a higher cognitive level. Our ``Modeling Applied to Problem Solving'' pedagogy for Newtonian Mechanics imparts strategic knowledge - how to systematically determine which concepts to apply and why. Declarative and procedural knowledge is learned online before class via an e-text, checkpoint questions, and homework on edX.org (see http://relate.mit.edu/physicscourse); it is organized into five Core Models. Instructors then coach students on simple ``touchstone problems'', novel exercises, and multi-concept problems - meanwhile exercising three of the four C's: communication, collaboration, critical thinking and problem solving. Students showed 1.2 standard deviations improvement on the MIT final exam after three weeks instruction, a significant positive shift in 7 of the 9 categories in the CLASS, and their grades improved by 0.5 standard deviation in their following physics course (Electricity and Magnetism).

  11. Teaching Problem Solving Skills to Elementary Age Students with Autism

    Science.gov (United States)

    Cote, Debra L.; Jones, Vita L.; Barnett, Crystal; Pavelek, Karin; Nguyen, Hoang; Sparks, Shannon L.

    2014-01-01

    Students with disabilities need problem-solving skills to promote their success in solving the problems of daily life. The research into problem-solving instruction has been limited for students with autism. Using a problem-solving intervention and the Self Determined Learning Model of Instruction, three elementary age students with autism were…

  12. Can compactifications solve the cosmological constant problem?

    Science.gov (United States)

    Hertzberg, Mark P.; Masoumi, Ali

    2016-06-01

    Recently, there have been claims in the literature that the cosmological constant problem can be dynamically solved by specific compactifications of gravity from higher-dimensional toy models. These models have the novel feature that in the four-dimensional theory, the cosmological constant Λ is much smaller than the Planck density and in fact accumulates at Λ = 0. Here we show that while these are very interesting models, they do not properly address the real cosmological constant problem. As we explain, the real problem is not simply to obtain Λ that is small in Planck units in a toy model, but to explain why Λ is much smaller than other mass scales (and combinations of scales) in the theory. Instead, in these toy models, all other particle mass scales have been either removed or sent to zero, thus ignoring the real problem. To this end, we provide a general argument that the included moduli masses are generically of order Hubble, so sending them to zero trivially sends the cosmological constant to zero. We also show that the fundamental Planck mass is being sent to zero, and so the central problem is trivially avoided by removing high energy physics altogether. On the other hand, by including various large mass scales from particle physics with a high fundamental Planck mass, one is faced with a real problem, whose only known solution involves accidental cancellations in a landscape.

  13. XML Solving Problem of Expert System

    OpenAIRE

    Yasser A. Nada

    2011-01-01

    The Extensible Markup Language (XML) is a subset of SGML that is completely described in this paper. Its goal is to enable generic SGML to be served, received, and processed on the Web in the way that is now possible with HTML. XML has been designed for ease of implementation and for interoperability with both SGML and HTML. An expert system is a computer program designed to simulate the problem-solving behavior of a human who is an expert in a narrow domain or discipline. Expert Systems (E...

  14. Programming languages for business problem solving

    CERN Document Server

    Wang, Shouhong

    2007-01-01

    It has become crucial for managers to be computer literate in today's business environment. It is also important that those entering the field acquire the fundamental theories of information systems, the essential practical skills in computer applications, and the desire for life-long learning in information technology. Programming Languages for Business Problem Solving presents a working knowledge of the major programming languages, including COBOL, C++, Java, HTML, JavaScript, VB.NET, VBA, ASP.NET, Perl, PHP, XML, and SQL, used in the current business computing environment. The book examin

  15. Surveying Graduate Students' Attitudes and Approaches to Problem Solving

    OpenAIRE

    Chandralekha Singh; Andrew Mason

    2016-01-01

    Students' attitudes and approaches to problem solving in physics can profoundly influence their motivation to learn and development of expertise. We developed and validated an Attitudes and Approaches to Problem Solving survey by expanding the Attitudes towards Problem Solving survey of Marx and Cummings and administered it to physics graduate students. Comparison of their responses to the survey questions about problem solving in their own graduate level courses vs. problem solving in the in...

  16. The Problem of Assessing Problem Solving: Can Comparative Judgement Help?

    Science.gov (United States)

    Jones, Ian; Inglis, Matthew

    2015-01-01

    School mathematics examination papers are typically dominated by short, structured items that fail to assess sustained reasoning or problem solving. A contributory factor to this situation is the need for student work to be marked reliably by a large number of markers of varied experience and competence. We report a study that tested an…

  17. A Process Analysis of Engineering Problem Solving and Assessment of Problem Solving Skills

    Science.gov (United States)

    Grigg, Sarah J.

    2012-01-01

    In the engineering profession, one of the most critical skills to possess is accurate and efficient problem solving. Thus, engineering educators should strive to help students develop skills needed to become competent problem solvers. In order to measure the development of skills, it is necessary to assess student performance, identify any…

  18. Solving the Examination Timetabling Problem in GPUs

    Directory of Open Access Journals (Sweden)

    Vasileios Kolonias

    2014-07-01

    Full Text Available The examination timetabling problem belongs to the class of combinatorial optimization problems and is of great importance for every University. In this paper, a hybrid evolutionary algorithm running on a GPU is employed to solve the examination timetabling problem. The hybrid evolutionary algorithm proposed has a genetic algorithm component and a greedy steepest descent component. The GPU computational capabilities allow the use of very large population sizes, leading to a more thorough exploration of the problem solution space. The GPU implementation, depending on the size of the problem, is up to twenty six times faster than the identical single-threaded CPU implementation of the algorithm. The algorithm is evaluated with the well known Toronto datasets and compares well with the best results found in the bibliography. Moreover, the selection of the encoding of the chromosomes and the tournament selection size as the population grows are examined and optimized. The compressed sparse row format is used for the conflict matrix and was proven essential to the process, since most of the datasets have a small conflict density, which translates into an extremely sparse matrix.

  19. Solving a Deconvolution Problem in Photon Spectrometry

    CERN Document Server

    Aleksandrov, D; Hille, P T; Polichtchouk, B; Kharlov, Y; Sukhorukov, M; Wang, D; Shabratova, G; Demanov, V; Wang, Y; Tveter, T; Faltys, M; Mao, Y; Larsen, D T; Zaporozhets, S; Sibiryak, I; Lovhoiden, G; Potcheptsov, T; Kucheryaev, Y; Basmanov, V; Mares, J; Yanovsky, V; Qvigstad, H; Zenin, A; Nikolaev, S; Siemiarczuk, T; Yuan, X; Cai, X; Redlich, K; Pavlinov, A; Roehrich, D; Manko, V; Deloff, A; Ma, K; Maruyama, Y; Dobrowolski, T; Shigaki, K; Nikulin, S; Wan, R; Mizoguchi, K; Petrov, V; Mueller, H; Ippolitov, M; Liu, L; Sadovsky, S; Stolpovsky, P; Kurashvili, P; Nomokonov, P; Xu, C; Torii, H; Il'kaev, R; Zhang, X; Peresunko, D; Soloviev, A; Vodopyanov, A; Sugitate, T; Ullaland, K; Huang, M; Zhou, D; Nystrand, J; Punin, V; Yin, Z; Batyunya, B; Karadzhev, K; Nazarov, G; Fil'chagin, S; Nazarenko, S; Buskenes, J I; Horaguchi, T; Djuvsland, O; Chuman, F; Senko, V; Alme, J; Wilk, G; Fehlker, D; Vinogradov, Y; Budilov, V; Iwasaki, T; Ilkiv, I; Budnikov, D; Vinogradov, A; Kazantsev, A; Bogolyubsky, M; Lindal, S; Polak, K; Skaali, B; Mamonov, A; Kuryakin, A; Wikne, J; Skjerdal, K

    2010-01-01

    We solve numerically a deconvolution problem to extract the undisturbed spectrum from the measured distribution contaminated by the finite resolution of the measuring device. A problem of this kind emerges when one wants to infer the momentum distribution of the neutral pions by detecting the it decay photons using the photon spectrometer of the ALICE LHC experiment at CERN {[}1]. The underlying integral equation connecting the sought for pion spectrum and the measured gamma spectrum has been discretized and subsequently reduced to a system of linear algebraic equations. The latter system, however, is known to be ill-posed and must be regularized to obtain a stable solution. This task has been accomplished here by means of the Tikhonov regularization scheme combined with the L-curve method. The resulting pion spectrum is in an excellent quantitative agreement with the pion spectrum obtained from a Monte Carlo simulation. (C) 2010 Elsevier B.V. All rights reserved.

  20. Solving Math Problems Approximately: A Developmental Perspective.

    Directory of Open Access Journals (Sweden)

    Dana Ganor-Stern

    Full Text Available Although solving arithmetic problems approximately is an important skill in everyday life, little is known about the development of this skill. Past research has shown that when children are asked to solve multi-digit multiplication problems approximately, they provide estimates that are often very far from the exact answer. This is unfortunate as computation estimation is needed in many circumstances in daily life. The present study examined 4th graders, 6th graders and adults' ability to estimate the results of arithmetic problems relative to a reference number. A developmental pattern was observed in accuracy, speed and strategy use. With age there was a general increase in speed, and an increase in accuracy mainly for trials in which the reference number was close to the exact answer. The children tended to use the sense of magnitude strategy, which does not involve any calculation but relies mainly on an intuitive coarse sense of magnitude, while the adults used the approximated calculation strategy which involves rounding and multiplication procedures, and relies to a greater extent on calculation skills and working memory resources. Importantly, the children were less accurate than the adults, but were well above chance level. In all age groups performance was enhanced when the reference number was smaller (vs. larger than the exact answer and when it was far (vs. close from it, suggesting the involvement of an approximate number system. The results suggest the existence of an intuitive sense of magnitude for the results of arithmetic problems that might help children and even adults with difficulties in math. The present findings are discussed in the context of past research reporting poor estimation skills among children, and the conditions that might allow using children estimation skills in an effective manner.

  1. Assessing Cognitive Learning of Analytical Problem Solving

    Science.gov (United States)

    Billionniere, Elodie V.

    Introductory programming courses, also known as CS1, have a specific set of expected outcomes related to the learning of the most basic and essential computational concepts in computer science (CS). However, two of the most often heard complaints in such courses are that (1) they are divorced from the reality of application and (2) they make the learning of the basic concepts tedious. The concepts introduced in CS1 courses are highly abstract and not easily comprehensible. In general, the difficulty is intrinsic to the field of computing, often described as "too mathematical or too abstract." This dissertation presents a small-scale mixed method study conducted during the fall 2009 semester of CS1 courses at Arizona State University. This study explored and assessed students' comprehension of three core computational concepts---abstraction, arrays of objects, and inheritance---in both algorithm design and problem solving. Through this investigation students' profiles were categorized based on their scores and based on their mistakes categorized into instances of five computational thinking concepts: abstraction, algorithm, scalability, linguistics, and reasoning. It was shown that even though the notion of computational thinking is not explicit in the curriculum, participants possessed and/or developed this skill through the learning and application of the CS1 core concepts. Furthermore, problem-solving experiences had a direct impact on participants' knowledge skills, explanation skills, and confidence. Implications for teaching CS1 and for future research are also considered.

  2. Problem Solving Interventions: Impact on Young Children with Developmental Disabilities

    Science.gov (United States)

    Diamond, Lindsay Lile

    2012-01-01

    Problem-solving skills are imperative to a child's growth and success across multiple environments, including general and special education. Problem solving is comprised of: (a) attention to the critical aspects of a problem, (b) generation of solution(s) to solve the problem, (c) application of a solution(s) to the identified problem, and…

  3. Original Approaches for Solving Electromagnetic Interference Problems

    Directory of Open Access Journals (Sweden)

    CHRISTOFORIDIS, G. C.

    2009-06-01

    Full Text Available The accurate calculation of the current densities induced in layered soil by HV transmission lines in normal conditions is one of the most important steps in the study of the electromagnetic interference between transmission lines and underground metallic structures (i.e. metallic gas pipelines. In electromagnetic interference problems, the best way to investigate the soil's behavior as conducting media is to determine the current distribution within ground. The aim of the present paper is to examine the level of influence that soil layers with different resistivity have on the induced current densities. New analytical formulas for the induced current densities in the two-layer soil case are derived. The determined formulas contain semi-infinite integral terms which are calculated through a stable and efficient numerical integration scheme, in order to overcome the problems arising from the oscillate form of the infinite integrals. In the second part of the paper, the author's contribution relates to the exposure and implementation of a robust Monte Carlo simulation method, in an original approach, for solving ill-posed synthesis magnetic or electric field problems.

  4. How can we improve problem-solving in undergraduate biology? Applying lessons from 30 years of physics education research

    CERN Document Server

    Hoskinson, Anne-Marie; Knight, Jennifer K

    2012-01-01

    Modern biological problems are complex. If students are to successfully grapple with such problems as scientists and citizens, they need to have practiced solving authentic, complex problems during their undergraduate years. Physics education researchers have investigated student problem-solving for the last three decades. Although the surface features and content of biology problems differ from physics problems, teachers of both sciences want students to learn to explain patterns and processes in the natural world and to make predictions about system behaviors. After surveying literature on problem-solving in physics and biology, we propose how biology education researchers could apply research-supported pedagogical techniques from physics to enhance biology students' problem-solving. First, we characterize the problems that biology students are typically asked to solve. We then describe the development of research-validated physics problem-solving curricula. Finally, we propose how biology scholars can appl...

  5. SolveDB: Integrating Optimization Problem Solvers Into SQL Databases

    DEFF Research Database (Denmark)

    Siksnys, Laurynas; Pedersen, Torben Bach

    2016-01-01

    Many real-world decision problems involve solving optimization problems based on data in an SQL database. Traditionally, solving such problems requires combining a DBMS with optimization software packages for each required class of problems (e.g. linear and constraint programming) -- leading...... to workflows that are cumbersome, complex, inefficient, and error-prone. In this paper, we present SolveDB - a DBMS for optimization applications. SolveDB supports solvers for different problem classes and offers seamless data management and optimization problem solving in a pure SQL-based setting. This allows...... for much simpler and more effective solutions of database-based optimization problems. SolveDB is based on the 3-level ANSI/SPARC architecture and allows formulating, solving, and analysing solutions of optimization problems using a single so-called solve query. SolveDB provides (1) an SQL-based syntax...

  6. Journey into Problem Solving: A Gift from Polya

    Science.gov (United States)

    Lederman, Eric

    2009-01-01

    In "How to Solve It", accomplished mathematician and skilled communicator George Polya describes a four-step universal solving technique designed to help students develop mathematical problem-solving skills. By providing a glimpse at the grace with which experts solve problems, Polya provides definable methods that are not exclusive to…

  7. Unsupervised neural networks for solving Troesch's problem

    Science.gov (United States)

    Muhammad, Asif Zahoor Raja

    2014-01-01

    In this study, stochastic computational intelligence techniques are presented for the solution of Troesch's boundary value problem. The proposed stochastic solvers use the competency of a feed-forward artificial neural network for mathematical modeling of the problem in an unsupervised manner, whereas the learning of unknown parameters is made with local and global optimization methods as well as their combinations. Genetic algorithm (GA) and pattern search (PS) techniques are used as the global search methods and the interior point method (IPM) is used for an efficient local search. The combination of techniques like GA hybridized with IPM (GA-IPM) and PS hybridized with IPM (PS-IPM) are also applied to solve different forms of the equation. A comparison of the proposed results obtained from GA, PS, IPM, PS-IPM and GA-IPM has been made with the standard solutions including well known analytic techniques of the Adomian decomposition method, the variational iterational method and the homotopy perturbation method. The reliability and effectiveness of the proposed schemes, in term of accuracy and convergence, are evaluated from the results of statistical analysis based on sufficiently large independent runs.

  8. Problem-solving in a Constructivist Environment

    Directory of Open Access Journals (Sweden)

    Lee Chien Sing

    1999-01-01

    Full Text Available The dynamic challenges of an increasingly borderless world buoyed by advances in telecommunications and information technology has resulted in educational reform and subsequently, a reconceptualisation of what constitutes a learner, learning and the influence of the learning environment on the process of learning. In keeping up with the changing trends and challenges of an increasingly networked, dynamic and challenging international community, means to provide an alternative environment that stimulates inquiry and equips learners with the skills needed to manage technological change and innovations must be considered. This paper discusses the importance of interaction, cognition and context, collaboration in a networked computer-mediated environment, the problem-solving approach as a catalyst in stimulating creative and critical thinking and in providing context for meaningful interaction and whether the interactive environment created through computer-mediated collaboration will motivate learners to be responsible for their own learning and be independent thinkers. The sample involved learners from three schools in three different countries. Findings conclude that a rich interactive environment must be personally relevant to the learner by simulating authentic problems without lowering the degree of cognitive complexity. Review in curriculum, assessment and teacher training around constructivist principles are also imperative as these interrelated factors form part of the learning process system.

  9. Structured Collaboration versus Individual Learning in Solving Physics Problems

    Science.gov (United States)

    Harskamp, Egbert; Ding, Ning

    2006-11-01

    The research issue in this study is how to structure collaborative learning so that it improves solving physics problems more than individual learning. Structured collaborative learning has been compared with individual learning environments with Schoenfeld’s problem-solving episodes. Students took a pre-test and a post-test and had the opportunity to solve six physics problems. Ninety-nine students from a secondary school in Shanghai participated in the study. Students who learnt to solve problems in collaboration and students who learnt to solve problems individually with hints improved their problem-solving skills compared with those who learnt to solve the problems individually without hints. However, it was hard to discern an extra effect for students working collaboratively with hints—although we observed these students working in a more structured way than those in the other groups. We discuss ways to further investigate effective collaborative processes for solving physics problems.

  10. Bioinformatics education dissemination with an evolutionary problem solving perspective.

    Science.gov (United States)

    Jungck, John R; Donovan, Samuel S; Weisstein, Anton E; Khiripet, Noppadon; Everse, Stephen J

    2010-11-01

    Bioinformatics is central to biology education in the 21st century. With the generation of terabytes of data per day, the application of computer-based tools to stored and distributed data is fundamentally changing research and its application to problems in medicine, agriculture, conservation and forensics. In light of this 'information revolution,' undergraduate biology curricula must be redesigned to prepare the next generation of informed citizens as well as those who will pursue careers in the life sciences. The BEDROCK initiative (Bioinformatics Education Dissemination: Reaching Out, Connecting and Knitting together) has fostered an international community of bioinformatics educators. The initiative's goals are to: (i) Identify and support faculty who can take leadership roles in bioinformatics education; (ii) Highlight and distribute innovative approaches to incorporating evolutionary bioinformatics data and techniques throughout undergraduate education; (iii) Establish mechanisms for the broad dissemination of bioinformatics resource materials and teaching models; (iv) Emphasize phylogenetic thinking and problem solving; and (v) Develop and publish new software tools to help students develop and test evolutionary hypotheses. Since 2002, BEDROCK has offered more than 50 faculty workshops around the world, published many resources and supported an environment for developing and sharing bioinformatics education approaches. The BEDROCK initiative builds on the established pedagogical philosophy and academic community of the BioQUEST Curriculum Consortium to assemble the diverse intellectual and human resources required to sustain an international reform effort in undergraduate bioinformatics education. PMID:21036947

  11. ACTIVE AND PARTICIPATORY METHODS IN BIOLOGY: PROBLEM-SOLVING

    OpenAIRE

    Adela NEMEŞ; Nicoleta IANOVICI

    2010-01-01

    We face with considerable challenge of developing students’ problem solving skills in our difficult environment. Good problem solving skills empower managers in their professional and personal lives. Problem solving skills are valued by academics and employers. The informations in Biology are often presented in abstract forms without contextualisation. Creative problem-solving process involves a few steps, which together provide a structured procedure for identifying challenges, generating id...

  12. Dynamics of students' epistemological framing in group problem solving

    CERN Document Server

    Nguyen, Hai D; Sayre, Eleanor C

    2016-01-01

    Many studies have investigated students' epistemological framing when solving physics problems. Framing supports students' problem solving as they decide what knowledge to employ and the necessary steps to solve the problem. Students may frame the same problem differently and take alternate paths to a correct solution. When students work in group settings, they share and discuss their framing to decide how to proceed in problem solving as a whole group. In this study, we investigate how groups of students negotiate their framing and frame shifts in group problem solving.

  13. Team-Based Complex Problem Solving: A Collective Cognition Perspective

    Science.gov (United States)

    Hung, Woei

    2013-01-01

    Today, much problem solving is performed by teams, rather than individuals. The complexity of these problems has exceeded the cognitive capacity of any individual and requires a team of members to solve them. The success of solving these complex problems not only relies on individual team members who possess different but complementary expertise,…

  14. Capturing Problem-Solving Processes Using Critical Rationalism

    Science.gov (United States)

    Chitpin, Stephanie; Simon, Marielle

    2012-01-01

    The examination of problem-solving processes continues to be a current research topic in education. Knowing how to solve problems is not only a key aspect of learning mathematics but is also at the heart of cognitive theories, linguistics, artificial intelligence, and computers sciences. Problem solving is a multistep, higher-order cognitive task…

  15. The Influence of Cognitive Abilities on Mathematical Problem Solving Performance

    Science.gov (United States)

    Bahar, Abdulkadir

    2013-01-01

    Problem solving has been a core theme in education for several decades. Educators and policy makers agree on the importance of the role of problem solving skills for school and real life success. A primary purpose of this study was to investigate the influence of cognitive abilities on mathematical problem solving performance of students. The…

  16. The Influence of Cognitive Diversity on Group Problem Solving Strategy

    Science.gov (United States)

    Lamm, Alexa J.; Shoulders, Catherine; Roberts, T. Grady; Irani, Tracy A.; Snyder, Lori J. Unruh; Brendemuhl, Joel

    2012-01-01

    Collaborative group problem solving allows students to wrestle with different interpretations and solutions brought forth by group members, enhancing both critical thinking and problem solving skills. Since problem solving in groups is a common practice in agricultural education, instructors are often put in the position of organizing student…

  17. Teaching Problem Solving in Secondary School Mathematics Classrooms

    Science.gov (United States)

    Lam, Toh Tin; Guan, Tay Eng; Seng, Quek Khiok; Hoong, Leong Yew; Choon, Toh Pee; Him, Ho Foo; Jaguthsing, Dindyal

    2014-01-01

    This paper reports an innovative approach to teaching problem solving in secondary school mathematics classrooms based on a specifically designed problem-solving module.This approach adopts the science practical paradigm and rides on the works of Polya and Schoenfeld in order to give greater emphasis to the problem solving processes. We report the…

  18. Teacher Practices with Toddlers during Social Problem Solving Opportunities

    Science.gov (United States)

    Gloeckler, Lissy; Cassell, Jennifer

    2012-01-01

    This article explores how teachers can foster an environment that facilitates social problem solving when toddlers experience conflict, emotional dysregulation, and aggression. This article examines differences in child development and self-regulation outcomes when teachers engage in problem solving "for" toddlers and problem solving "with"…

  19. Teaching Young Children Interpersonal Problem-Solving Skills

    Science.gov (United States)

    Joseph, Gail E.; Strain, Phillip S.

    2010-01-01

    Learning how to problem solve is one of the key developmental milestones in early childhood. Children's problem-solving skills represent a key feature in the development of social competence. Problem solving allows children to stay calm during difficult situations, repair social relations quickly, and get their needs met in ways that are safe and…

  20. Solving Complex Problems: A Convergent Approach to Cognitive Load Measurement

    Science.gov (United States)

    Zheng, Robert; Cook, Anne

    2012-01-01

    The study challenged the current practices in cognitive load measurement involving complex problem solving by manipulating the presence of pictures in multiple rule-based problem-solving situations and examining the cognitive load resulting from both off-line and online measures associated with complex problem solving. Forty-eight participants…

  1. Using Analogy to Solve a Three-Step Physics Problem

    CERN Document Server

    Lin, Shih-Yin

    2016-01-01

    In a companion paper, we discuss students' ability to take advantage of what they learn from a solved problem and transfer their learning to solve a quiz problem that has different surface features but the same underlying physics principles. Here, we discuss students' ability to perform analogical reasoning between another pair of problems. Both the problems can be solved using the same physics principles. However, the solved problem provided was a two- step problem (which can be solved by decomposing it into two sub-problems) while the quiz problem was a three-step problem. We find that it is challenging for students to extend what they learned from a two-step problem to solve a three-step problem.

  2. XML Solving Problem of Expert System

    Directory of Open Access Journals (Sweden)

    Yasser A. Nada

    2011-01-01

    Full Text Available The Extensible Markup Language (XML is a subset of SGML that is completely described in this paper. Its goal is to enable generic SGML to be served, received, and processed on the Web in the way that is now possible with HTML. XML has been designed for ease of implementation and for interoperability with both SGML and HTML. An expert system is a computer program designed to simulate the problem-solving behavior of a human who is an expert in a narrow domain or discipline. Expert Systems (ES, also called Knowledge Based System (KBS, are computer application programs that take the knowledge of one or more human experts in a field and computerize it so that it is readily available for use. The main objective of this paper was to investigate the usage of different refinement methodologies for different layers of knowledge base modeling and investigate the possibility of building an expert system development and refinement tool. In our work we used XML as a knowledge representation to represent the knowledge base. Therefore we used the mathematical model to refinement of a knowledge base.

  3. Search and Knowledge for Human and Machine Problem Solving

    OpenAIRE

    Guid, Matej

    2010-01-01

    In Artificial Intelligence (AI), there exist formalised approaches and algorithms for general problem solving. These approaches address problems that require combinatorial search among alternatives, such as planning, scheduling, or playing of games like chess. In these approaches, problems are typically represented by various kinds of graphs, and problem solving corresponds to searching such graphs. Due to their combinatorial complexity, these problems are solved by heuristic search methods w...

  4. Effect of Explicit Problem Solving Instructions on the Problem Solving Performance and Conceptual Understanding of Introductory College Physics

    Science.gov (United States)

    Numan, Muhammad; Sobolewski, Stanley

    1998-04-01

    Two sections of introductory non-calculus general physics lecture courses, with a total enrolment of 120 students, were used to investigate the impact of explicit problem solving instruction on students' problem solving ability and conceptual understanding. The comparison group was instructed in textbook style problem solving strategy. Students' conceptual understanding was assessed by adminstering the Force Concept Inventory (FCI) at the begening and end of the semester. Required written rationale for multiple choice questions and responses to multistep problems were analyzed to further assess conceptual understanding and problem solving skills of the students in the two groups. A significant difference was noted in both understanding and problem solving performance.

  5. Partial differential equations theory and completely solved problems

    CERN Document Server

    Hillen, Thomas; van Roessel, Henry

    2014-01-01

    Uniquely provides fully solved problems for linear partial differential equations and boundary value problems Partial Differential Equations: Theory and Completely Solved Problems utilizes real-world physical models alongside essential theoretical concepts. With extensive examples, the book guides readers through the use of Partial Differential Equations (PDEs) for successfully solving and modeling phenomena in engineering, biology, and the applied sciences. The book focuses exclusively on linear PDEs and how they can be solved using the separation of variables technique. The authors begin

  6. A New Searching Problem Solved by Quantum Computers

    Institute of Scientific and Technical Information of China (English)

    闫海洋

    2002-01-01

    It is well known that a quantum computer can search more quickly than a classical computer while solving the so-called Grover-searching problem. We present a new searching problem which cannot be classified into Grover's problem and can be solved by using the modified searching iterations with the same efficiency as for Grover's problem.

  7. Using a general problem-solving strategy to promote transfer.

    Science.gov (United States)

    Youssef-Shalala, Amina; Ayres, Paul; Schubert, Carina; Sweller, John

    2014-09-01

    Cognitive load theory was used to hypothesize that a general problem-solving strategy based on a make-as-many-moves-as-possible heuristic could facilitate problem solutions for transfer problems. In four experiments, school students were required to learn about a topic through practice with a general problem-solving strategy, through a conventional problem solving strategy or by studying worked examples. In Experiments 1 and 2 using junior high school students learning geometry, low knowledge students in the general problem-solving group scored significantly higher on near or far transfer tests than the conventional problem-solving group. In Experiment 3, an advantage for a general problem-solving group over a group presented worked examples was obtained on far transfer tests using the same curriculum materials, again presented to junior high school students. No differences between conditions were found in Experiments 1, 2, or 3 using test problems similar to the acquisition problems. Experiment 4 used senior high school students studying economics and found the general problem-solving group scored significantly higher than the conventional problem-solving group on both similar and transfer tests. It was concluded that the general problem-solving strategy was helpful for novices, but not for students that had access to domain-specific knowledge.

  8. A Problem Solving Framework for Managing Poor Readers in Classrooms.

    Science.gov (United States)

    Beck, Judith S.

    1988-01-01

    Points out that poor readers may exhibit behavioral, cognitive, and emotional problems. Offers a problem-solving framework for intervention in poor readers' nonacademic problems, and describes several possible types of intervention. (ARH)

  9. Affect and mathematical problem solving a new perspective

    CERN Document Server

    Adams, Verna

    1989-01-01

    Research on cognitive aspects of mathematical problem solving has made great progress in recent years, but the relationship of affective factors to problem-solving performance has been a neglected research area. The purpose of Affect and Mathematical Problem Solving: A New Perspective is to show how the theories and methods of cognitive science can be extended to include the role of affect in mathematical problem solving. The book presents Mandler's theory of emotion and explores its implications for the learning and teaching of mathematical problem solving. Also, leading researchers from mathematics, education, and psychology report how they have integrated affect into their own cognitive research. The studies focus on metacognitive processes, aesthetic influences on expert problem solvers, teacher decision-making, technology and teaching problem solving, and beliefs about mathematics. The results suggest how emotional factors like anxiety, frustration, joy, and satisfaction can help or hinder performance in...

  10. Solving set partitioning problems using lagrangian relaxation

    NARCIS (Netherlands)

    van Krieken, M.G.C.

    2006-01-01

    This thesis focuses on the set partitioning problem. Given a collection of subsets of a certain root set and costs associated to these subsets, the set partitioning problem is the problem of finding a minimum cost partition of the root set. Many real-life problems, such as vehicle routing and crew s

  11. Solving Scheduling problems using Selective Breeding Algorithm and Hybrid Algorithm

    OpenAIRE

    P.Sriramya; B. Parvathavarthini; M. Chandrasekaran

    2013-01-01

    The n-job, m-machine scheduling problem is one of the general scheduling problems in a system. Scheduling problems vary widely according to specific production tasks but most are NP-hard problems.Scheduling problems are usually solved using heuristics to get optimal or near optimal solutions because problems found in practical applications cannot be solved to optimality using reasonable resources in many cases. In this paper, Selective Breeding Algorithm (SBA) and Hybrid Algorithm (HA) are us...

  12. t-multiple discrete logarithm problem and solving difficulty

    OpenAIRE

    Fu, Xiangqun; Bao, Wansu; Shi, Jianhong; Wang, Xiang

    2016-01-01

    Considering the difficult problem under classical computing model can be solved by the quantum algorithm in polynomial time, t-multiple discrete logarithm problems presented. The problem is non-degeneracy and unique solution. We talk about what the parameter effects the problem solving difficulty. Then we pointed out that the index-calculus algorithm is not suitable for the problem, and two sufficient conditions of resistance to the quantum algorithm for the hidden subgroup problem are given.

  13. Cognitive restructuring as an early stage in problem solving

    Science.gov (United States)

    Bodner, George M.; McMillen, Theresa L. B.

    This article examines the hypothesis that there are preliminary stages in problem solving which most chemists neglect when trying to teach their students how to solve problems in introductory chemistry courses. It is during these early stages that relevant information is disembedded from the question and the problem is restructured. Unless students can successfully complete these cognitive restructuring stages, they cannot proceed on to the more analytic stages in problem solving that have received more attention from chemists.Preliminary evidence for this hypothesis consists of linear correlations between student ability to handle disembedding and cognitive restructuring tasks in the spatial domain and their ability to solve chemistry problems.

  14. Solving traveling salesman problems using generalized chromosome genetic algorithm

    Institute of Scientific and Technical Information of China (English)

    Jinhui Yang; Chunguo Wu; Heow Pueh Lee; Yanchun Liang

    2008-01-01

    Generalized chromosome genetic algorithm (GCGA) was proposed for solving generalized traveling salesman problems (GTSP) as reported in the authors' earlier work. Theoretically, the GCGA could also be used to solve the classical traveling salesman problem (CTSP), which has not been reported by others. In this paper, the generalized chromosome characteristics are analyzed and the feasibility for consistently solving the GTSP and CTSP is verified. Numerical experiments show the advantages of the GCGA for solving a large-scale CTSP.

  15. The relationship between students' problem solving frames and epistemological beliefs

    Science.gov (United States)

    Wampler, Wendi N.

    Introductory undergraduate physics courses aim to help students develop the skills and strategies necessary to solve complex, real world problems, but many students not only leave these courses with serious gaps in their conceptual understanding, but also maintain a novice-like approach to solving problems. Matter and Interactions [M&I] is a curriculum that focuses on a restructuring of physics content knowledge and emphasizes a systematic approach to problem solving, called modeling, which involves the application physical principles to carefully defined systems of objects and interactions (Chabay and Sherwood, 2007a). Because the M&I approach to problem solving is different from many students' previous physics experience, efforts need to be made to attend to their epistemological beliefs and expectations about not only learning physics content knowledge, but problem solving as well. If a student frames solving physics problems as a `plug and chug' type activity, then they are going continue practicing this strategy. Thus, it is important to address students' epistemological beliefs and monitor how they frame the activity of problem solving within the M&I course. This study aims to investigate how students frame problem solving within the context of a large scale implementation of the M&I curriculum, and how, if at all, those frames shift through the semester. By investigating how students frame the act of problem solving in the M&I context, I was able to examine the connection between student beliefs and expectations about problem solving in physics and the skills and strategies used while solving problems in class. To accomplish these goals, I recruited student volunteers from Purdue's introductory, calculus-based physics course and assessed their problem solving approach and espoused epistemological beliefs over the course of a semester. I obtained data through video recordings of the students engaged in small group problem solving during recitation activities

  16. Formulating and Solving Problems in Computational Chemistry.

    Science.gov (United States)

    Norris, A. C.

    1980-01-01

    Considered are the main elements of computational chemistry problems and how these elements can be used to formulate the problems mathematically. Techniques that are useful in devising an appropriate solution are also considered. (Author/TG)

  17. Surveying Graduate Students' Attitudes and Approaches to Problem Solving

    CERN Document Server

    Mason, Andrew

    2016-01-01

    Students' attitudes and approaches to problem solving in physics can profoundly influence their motivation to learn and development of expertise. We developed and validated an Attitudes and Approaches to Problem Solving survey by expanding the Attitudes towards Problem Solving survey of Marx and Cummings and administered it to physics graduate students. Comparison of their responses to the survey questions about problem solving in their own graduate level courses vs. problem solving in the introductory physics courses provides insight into their expertise in introductory and graduate level physics. The physics graduate students' responses to the survey questions were also compared with those of introductory physics and astronomy students and physics faculty. We find that, even for problem solving in introductory physics, graduate students' responses to some survey questions are less expert-like than those of the physics faculty. Comparison of survey responses of graduate students and introductory students for...

  18. PROBLEM SOLVING IN SCHOOL MATHEMATICS BASED ON HEURISTIC STRATEGIES

    Directory of Open Access Journals (Sweden)

    NOVOTNÁ, Jarmila

    2014-03-01

    Full Text Available The paper describes one of the ways of developing pupils’ creative approach to problem solving. The described experiment is a part of a longitudinal research focusing on improvement of culture of problem solving by pupils. It deals with solving of problems using the following heuristic strategies: Analogy, Guess – check – revise, Systematic experimentation, Problem reformulation, Solution drawing, Way back and Use of graphs of functions. Most attention is paid to the question whether short-term work, in this case only over the period of three months, can result in improvement of pupils’ abilities to solve problems whose solving algorithms are easily accessible. It also answers the question which strategies pupils will prefer and with what results. The experiment shows that even short-term work can bear positive results as far as pupils’ approach to problem solving is concerned.

  19. Solving Information-Based Problems: Evaluating Sources and Information

    Science.gov (United States)

    Brand-Gruwel, Saskia; Stadtler, Marc

    2011-01-01

    The focus of this special section is on the processes involved when solving information-based problems. Solving these problems requires from people that they are able to define the information problem, search and select usable and reliable sources and information and synthesise information into a coherent body of knowledge. An important aspect…

  20. Solving the Sailors and the Coconuts Problem via Diagrammatic Approach

    Science.gov (United States)

    Man, Yiu-Kwong

    2010-01-01

    In this article, we discuss how to use a diagrammatic approach to solve the classic sailors and the coconuts problem. It provides us an insight on how to tackle this type of problem in a novel and intuitive way. This problem-solving approach will be found useful to mathematics teachers or lecturers involved in teaching elementary number theory,…

  1. Gender Differences in Chemical Problem Solving amongst Nigerian Students.

    Science.gov (United States)

    Adigwe, J. C.

    1992-01-01

    This study investigated sex differences in chemical problem solving among Nigerian secondary school chemistry students (100 males and 100 females). Male students excelled over the female students in the following problem-solving processes: (1) problem understanding; (2) construction and execution of solution plans; (3) exhibition of structural…

  2. Goals and everyday problem solving: examining the link between age-related goals and problem-solving strategy use.

    Science.gov (United States)

    Hoppmann, Christiane A; Coats, Abby Heckman; Blanchard-Fields, Fredda

    2008-07-01

    Qualitative interviews on family and financial problems from 332 adolescents, young, middle-aged, and older adults, demonstrated that developmentally relevant goals predicted problem-solving strategy use over and above problem domain. Four focal goals concerned autonomy, generativity, maintaining good relationships with others, and changing another person. We examined both self- and other-focused problem-solving strategies. Autonomy goals were associated with self-focused instrumental problem solving and generative goals were related to other-focused instrumental problem solving in family and financial problems. Goals of changing another person were related to other-focused instrumental problem solving in the family domain only. The match between goals and strategies, an indicator of problem-solving adaptiveness, showed that young individuals displayed the greatest match between autonomy goals and self-focused problem solving, whereas older adults showed a greater match between generative goals and other-focused problem solving. Findings speak to the importance of considering goals in investigations of age-related differences in everyday problem solving.

  3. Phenomenographic study of students’ problem solving approaches in physics

    OpenAIRE

    Laura N. Walsh; Howard, Robert G.; Brian Bowe

    2007-01-01

    This paper describes ongoing research investigating student approaches to quantitative and qualitative problem solving in physics. This empirical study was conducted using a phenomenographic approach to analyze data from individual semistructured problem solving interviews with 22 introductory college physics students. The main result of the study is a hierarchical set of categories that describe the students’ problem solving approaches in the context of introductory physics.

  4. Visual Attention Modulates Insight Versus Analytic Solving of Verbal Problems

    OpenAIRE

    Wegbreit, Ezra; Suzuki, Satoru; Grabowecky, Marcia; Kounios, John; Beeman, Mark

    2012-01-01

    Behavioral and neuroimaging findings indicate that distinct cognitive and neural processes underlie solving problems with sudden insight. Moreover, people with less focused attention sometimes perform better on tests of insight and creative problem solving. However, it remains unclear whether different states of attention, within individuals, influence the likelihood of solving problems with insight or with analysis. In this experiment, participants (N = 40) performed a baseline block of verb...

  5. Diversity Communication in Teams: Improving Problem Solving or Creating Confusion?

    OpenAIRE

    Laura Frigotto; Alessandro Rossi

    2007-01-01

    Despite the rich and interdisciplinary debate on the role of diversity and communication in group problem solving, as well as the recognition of the interactions between the two topics, they have been rarely treated as a joint research issue. In this paper we develop a computational approach aimed at modeling problem solving agents and we assess the impact of various levels of diversity and communication in teams on agents' performance at solving problems. By communication we intend a convers...

  6. Transformational and transactional leadership and problem solving in restaurant industry

    OpenAIRE

    Huhtala, Nina

    2013-01-01

    The study tries to give information on the leadership behavior of restaurant managers in their problem solving. The results of the study were collected by evaluating three restaurant managers by interviewing them. The restaurant managers’ answers were compared to transformational and transactional leadership model and the aspects of it. Their problem solving skills were evaluated by the help of a rational and creative problem solving model. The study showed that restaurant managers have both ...

  7. The nature of gestures’ beneficial role in spatial problem solving

    OpenAIRE

    Chu, M; Kita, S.

    2011-01-01

    Co-thought gestures are hand movements produced in silent, noncommunicative, problem-solving situations. In the study, we investigated whether and how such gestures enhance performance in spatial visualization tasks such as a mental rotation task and a paper folding task. We found that participants gestured more often when they had difficulties solving mental rotation problems Experiment 1). The gesture-encouraged group solved more mental rotation problems correctly than did the gesture-allow...

  8. An event-based architecture for solving constraint satisfaction problems

    OpenAIRE

    Mostafa, Hesham; Müller, Lorenz K.; Indiveri, Giacomo

    2015-01-01

    Constraint satisfaction problems (CSPs) are typically solved using conventional von Neumann computing architectures. However, these architectures do not reflect the distributed nature of many of these problems and are thus ill-suited to solving them. In this paper we present a hybrid analog/digital hardware architecture specifically designed to solve such problems. We cast CSPs as networks of stereotyped multi-stable oscillatory elements that communicate using digital pulses, or events. The o...

  9. Understanding the Problem. Problem Solving and Communication Activity Series. The Math Forum: Problems of the Week

    Science.gov (United States)

    Math Forum @ Drexel, 2009

    2009-01-01

    Different techniques for understanding a problem can lead to ideas for never-used-before solutions. Good problem-solvers use a problem-solving strategy and may come back to it frequently while they are working on the problem to refine their strategy, see if they can find better solutions, or find other questions. Writing is an integral part of…

  10. Innovation and problem solving: a review of common mechanisms.

    Science.gov (United States)

    Griffin, Andrea S; Guez, David

    2014-11-01

    Behavioural innovations have become central to our thinking about how animals adjust to changing environments. It is now well established that animals vary in their ability to innovate, but understanding why remains a challenge. This is because innovations are rare, so studying innovation requires alternative experimental assays that create opportunities for animals to express their ability to invent new behaviours, or use pre-existing ones in new contexts. Problem solving of extractive foraging tasks has been put forward as a suitable experimental assay. We review the rapidly expanding literature on problem solving of extractive foraging tasks in order to better understand to what extent the processes underpinning problem solving, and the factors influencing problem solving, are in line with those predicted, and found, to underpin and influence innovation in the wild. Our aim is to determine whether problem solving can be used as an experimental proxy of innovation. We find that in most respects, problem solving is determined by the same underpinning mechanisms, and is influenced by the same factors, as those predicted to underpin, and to influence, innovation. We conclude that problem solving is a valid experimental assay for studying innovation, propose a conceptual model of problem solving in which motor diversity plays a more central role than has been considered to date, and provide recommendations for future research using problem solving to investigate innovation. This article is part of a Special Issue entitled: Cognition in the wild.

  11. Solving Thousand Digit Frobenius Problems Using Grobner Bases

    DEFF Research Database (Denmark)

    Roune, Bjarke Hammersholt

    2008-01-01

    A Gröbner basis-based algorithm for solving the Frobenius Instance Problem is presented, and this leads to an algorithm for solving the Frobenius Problem that can handle numbers with thousands of digits. Connections to irreducible decompositions and Hilbert functions are also presented.......A Gröbner basis-based algorithm for solving the Frobenius Instance Problem is presented, and this leads to an algorithm for solving the Frobenius Problem that can handle numbers with thousands of digits. Connections to irreducible decompositions and Hilbert functions are also presented....

  12. Problem solving performance and learning strategies of undergraduate students who solved microbiology problems using IMMEX educational software

    Science.gov (United States)

    Ebomoyi, Josephine Itota

    The objectives of this study were as follows: (1) Determine the relationship between learning strategies and performance in problem solving, (2) Explore the role of a student's declared major on performance in problem solving, (3) Understand the decision making process of high and low achievers during problem solving. Participants (N = 65) solved problems using the Interactive multimedia exercise (IMMEX) software. All participants not only solved "Microquest," which focuses on cellular processes and mode of action of antibiotics, but also "Creeping Crud," which focuses on the cause, origin and transmission of diseases. Participants also responded to the "Motivated Strategy Learning Questionnaire" (MSLQ). Hierarchical multiple regression was used for analysis with GPA (Gracie point average) as a control. There were 49 (78.6%) that successfully solved "Microquest" while 52 (82.5%) successfully solved "Creeping Crud". Metacognitive self regulation strategy was significantly (p self-esteem problems. The implications for educational and relevance to real life situations are discussed.

  13. Solving Complex Problems to Create Charter Extension Options

    DEFF Research Database (Denmark)

    Tippmann, Esther; Nell, Phillip Christopher

    This study examines subsidiary-driven problem solving processes and their potential to create advanced solutions for charter extension options. Problem solving theory suggests that biases in problem formulation and solution search can confine problem solving potential. We thus argue that balanced...... undertaken by 29 subsidiary units supports our hypotheses, demonstrating that these activities are a means to systematically reduce inherent problem solving biases. This study contributes to problem solving theory, the literature on headquarters’ roles in complex organizations, as well as the literature...... solution search, or activities to reconcile the need for some solution features to be locally-tailored while others can be internationally standardized, mediates the relationships between problem complexity/headquarters involvement and the capacity to create advanced solutions. An analysis of 67 projects...

  14. Identifying, analysing and solving problems in practice.

    Science.gov (United States)

    Hewitt-Taylor, Jaqui

    When a problem is identified in practice, it is important to clarify exactly what it is and establish the cause before seeking a solution. This solution-seeking process should include input from those directly involved in the problematic situation, to enable individuals to contribute their perspective, appreciate why any change in practice is necessary and what will be achieved by the change. This article describes some approaches to identifying and analysing problems in practice so that effective solutions can be devised. It includes a case study and examples of how the Five Whys analysis, fishbone diagram, problem tree analysis, and Seven-S Model can be used to analyse a problem.

  15. Solving Random Satisfiability Problems with Quantum Computers

    CERN Document Server

    Hogg, T

    2001-01-01

    Quantum computer algorithms can exploit the structure of random satisfiability problems. This paper extends a previous empirical evaluation of such an algorithm and gives an approximate asymptotic analysis accounting for both the average and variation of amplitudes among search states with the same costs. The analysis predicts good performance, on average, for a variety of problems including those near a phase transition associated with a high concentration of hard cases. Based on empirical evaluation for small problems, modifying the algorithm in light of this analysis improves its performance. The algorithm improves on both GSAT, a commonly used conventional heuristic, and quantum algorithms ignoring problem structure.

  16. Solving infeasibility problems in computerized test assembly

    NARCIS (Netherlands)

    Timminga, E.

    1998-01-01

    Linear programming techniques have been used successfully in a variety of test assembly problems. It is, however, possible that no test can be found meeting all the constraints in the linear programming model. The problem of diagnosing and repairing infeasible linear programming models is discussed.

  17. Vibrations and Stability - Order & Chaos, Solved Problems

    DEFF Research Database (Denmark)

    Thomsen, Jon Juel

    2002-01-01

    A collection of worked out solutions to many of the exercise problems in my textbook "Vibrations and Stability", McGraw-Hill, London, 1997.......A collection of worked out solutions to many of the exercise problems in my textbook "Vibrations and Stability", McGraw-Hill, London, 1997....

  18. Same Old Problem, New Name? Alerting Students to the Nature of the Problem-Solving Process

    Science.gov (United States)

    Yerushalmi, Edit; Magen, Esther

    2006-01-01

    Students frequently misconceive the process of problem-solving, expecting the linear process required for solving an exercise, rather than the convoluted search process required to solve a genuine problem. In this paper we present an activity designed to foster in students realization and appreciation of the nature of the problem-solving process,…

  19. A Remark on Solving Minimax Problems with Coevolution

    DEFF Research Database (Denmark)

    Jensen, Mikkel Thomas

    2001-01-01

    Minimax optimization problems are relevant to research in scheduling, mechanical structure optimization, network design and constrained optimization. Recent papers have demonstrated that coevolutionary algorithms have a potential for solving this kind of problem. In the present paper it is argued...

  20. A PROJECTION-TYPE METHOD FOR SOLVING VARIOUS WEBER PROBLEMS

    Institute of Scientific and Technical Information of China (English)

    Jian-lin Jiang; Bo Chen

    2006-01-01

    This paper investigates various Weber problems including unconstrained Weber problems and constrained Weber problems under l1,l2 and l∞-norms. First with a transformation technique various Weber problems are turned into a class of monotone linear variational inequalities. By exploiting the favorable structure of these variational inequalities, we present a new projection-type method for them. Compared with some other projection-type methods which can solve monotone linear variational inequality, this new projection-type method is simple in numerical implementations and more efficient for solving this class of problems; Compared with some popular methods for solving unconstrained Weber problem and constrained Weber problem, a singularity would not happen in this new method and it is more reliable by using this new method to solve various Weber problems.

  1. Identifying, analysing and solving problems in practice.

    Science.gov (United States)

    Hewitt-Taylor, Jaqui

    When a problem is identified in practice, it is important to clarify exactly what it is and establish the cause before seeking a solution. This solution-seeking process should include input from those directly involved in the problematic situation, to enable individuals to contribute their perspective, appreciate why any change in practice is necessary and what will be achieved by the change. This article describes some approaches to identifying and analysing problems in practice so that effective solutions can be devised. It includes a case study and examples of how the Five Whys analysis, fishbone diagram, problem tree analysis, and Seven-S Model can be used to analyse a problem. PMID:22848969

  2. Solving Project Scheduling Problems by Minimum Cut

    OpenAIRE

    Moehring, Rolf; Uetz, Marc; Stork, Frederik; Schulz, Andreas S.

    2002-01-01

    In project scheduling, a set of precedence-constrained jobs has to be scheduled so as to minimize a given objective. In resource-constrained project scheduling, the jobs additionally compete for scarce resources. Due to its universality, the latter problem has a variety of applications in manufacturing, production planning, project management, and elsewhere. It is one of the most intractable problems in operations research, and has therefore become a popular playground for the latest optimiza...

  3. Solving Hitchcock's transportation problem by a genetic algorithm

    Institute of Scientific and Technical Information of China (English)

    CHEN Hai-feng; CHO Joong Rae; LEE Jeong.Tae

    2004-01-01

    Genetic algorithms (GAs) employ the evolutionary process of Darwin's nature selection theory to find the solutions of optimization problems. In this paper, an implementation of genetic algorithm is put forward to solve a classical transportation problem, namely the Hitchcock's Transportation Problem (HTP), and the GA is improved to search for all optimal solutions and identify them automatically. The algorithm is coded with C++ and validated by numerical examples. The computational results show that the algorithm is efficient for solving the Hitchcock's transportation problem.

  4. Using Boinc Desktop Grid To Solve Large Scale Sat Problems

    Directory of Open Access Journals (Sweden)

    Mikhail Posypkin

    2012-01-01

    Full Text Available Many practically important combinatorial problems can be efficiently reducedto a problem of Boolean satisfiability (SAT. Therefore, the implementation ofdistributed algorithms for solving SAT problems is of great importance. In thisarticle we describe a technology for organizing desktop grid, which is meantfor solving SAT problems. This technology was implemented in the form ofa volunteer computing project SAT@home based on a popular BOINC platform.

  5. Problem Solving in Technology Education: A Taoist Perspective.

    Science.gov (United States)

    Flowers, Jim

    1998-01-01

    Offers a new approach to teaching problem solving in technology education that encourages students to apply problem-solving skills to improving the human condition. Suggests that technology teachers incorporate elements of a Taoist approach in teaching by viewing technology as a tool with a goal of living a harmonious life. (JOW)

  6. Monitoring Affect States during Effortful Problem Solving Activities

    Science.gov (United States)

    D'Mello, Sidney K.; Lehman, Blair; Person, Natalie

    2010-01-01

    We explored the affective states that students experienced during effortful problem solving activities. We conducted a study where 41 students solved difficult analytical reasoning problems from the Law School Admission Test. Students viewed videos of their faces and screen captures and judged their emotions from a set of 14 states (basic…

  7. Toward a Comprehensive Model of Problem-Solving.

    Science.gov (United States)

    Pitt, Ruth B.

    Presented is a model of problem solving that incorporates elements of hypothetico-deductive reasoning in the Piagetian sense, and heuristic-algorithmic processing in the information-processing sense. It assumes that people invoke both formal reasoning strategies and learned algorithms whenever they solve problems. The proposed model integrates the…

  8. Social Problem Solving and Aggression: The Role of Depression

    Science.gov (United States)

    Ozdemir, Yalcin; Kuzucu, Yasar; Koruklu, Nermin

    2013-01-01

    The purpose of the present study was to examine direct and indirect relations among social problem-solving, depression, and aggression, as well as the mediating role of depression in the link between social problem-solving and aggression among Turkish youth. Data for the present study were collected from 413 adolescents. The participants' age…

  9. Solving L-L Extraction Problems with Excel Spreadsheet

    Science.gov (United States)

    Teppaitoon, Wittaya

    2016-01-01

    This work aims to demonstrate the use of Excel spreadsheets for solving L-L extraction problems. The key to solving the problems successfully is to be able to determine a tie line on the ternary diagram where the calculation must be carried out. This enables the reader to analyze the extraction process starting with a simple operation, the…

  10. Designing Computer Software for Problem-Solving Instruction.

    Science.gov (United States)

    Duffield, Judith A.

    1991-01-01

    Discusses factors that might influence the effectiveness of computer software designed to teach problem solving. Topics discussed include the structure of knowledge; transfer of training; computers and problem solving instruction; human-computer interactions; and types of software, including drill and practice programs, tutorials, instructional…

  11. Working memory dysfunctions predict social problem solving skills in schizophrenia.

    Science.gov (United States)

    Huang, Jia; Tan, Shu-ping; Walsh, Sarah C; Spriggens, Lauren K; Neumann, David L; Shum, David H K; Chan, Raymond C K

    2014-12-15

    The current study aimed to examine the contribution of neurocognition and social cognition to components of social problem solving. Sixty-seven inpatients with schizophrenia and 31 healthy controls were administrated batteries of neurocognitive tests, emotion perception tests, and the Chinese Assessment of Interpersonal Problem Solving Skills (CAIPSS). MANOVAs were conducted to investigate the domains in which patients with schizophrenia showed impairments. Correlations were used to determine which impaired domains were associated with social problem solving, and multiple regression analyses were conducted to compare the relative contribution of neurocognitive and social cognitive functioning to components of social problem solving. Compared with healthy controls, patients with schizophrenia performed significantly worse in sustained attention, working memory, negative emotion, intention identification and all components of the CAIPSS. Specifically, sustained attention, working memory and negative emotion identification were found to correlate with social problem solving and 1-back accuracy significantly predicted the poor performance in social problem solving. Among the dysfunctions in schizophrenia, working memory contributed most to deficits in social problem solving in patients with schizophrenia. This finding provides support for targeting working memory in the development of future social problem solving rehabilitation interventions.

  12. Reading-Enhanced Word Problem Solving: A Theoretical Model

    Science.gov (United States)

    Capraro, Robert M.; Capraro, Mary Margaret; Rupley, William H.

    2012-01-01

    There is a reciprocal relationship between mathematics and reading cognition. Metacognitive training within reading-enhanced problem solving should facilitate students developing an awareness of what good readers do when reading for meaning in solving mathematical problems enabling them to apply these strategies. The constructs for each cognitive…

  13. A theory of intelligence: networked problem solving in animal societies

    CERN Document Server

    Shour, Robert

    2009-01-01

    A society's single emergent, increasing intelligence arises partly from the thermodynamic advantages of networking the innate intelligence of different individuals, and partly from the accumulation of solved problems. Economic growth is proportional to the square of the network entropy of a society's population times the network entropy of the number of the society's solved problems.

  14. Improving Mathematical Problem Solving Skills: The Journey to Success

    Science.gov (United States)

    Rousseau, Donna

    2009-01-01

    The purpose of this study was to determine if problem solving skills can be improved through the use of an interdisciplinary program incorporating reading, music, and mathematics. The study was conducted in seven fifth grade classrooms, and addresses the need to teach problem solving strategies in elementary school and the importance of problem…

  15. Problem Solving and Collaboration Using Mobile Serious Games

    Science.gov (United States)

    Sanchez, Jaime; Olivares, Ruby

    2011-01-01

    This paper presents the results obtained with the implementation of a series of learning activities based on Mobile Serious Games (MSGs) for the development of problem solving and collaborative skills in Chilean 8th grade students. Three MSGs were developed and played by teams of four students in order to solve problems collaboratively. A…

  16. Solving constrained minimax problem via nonsmooth equations method

    Institute of Scientific and Technical Information of China (English)

    GUO Xiu-xia(郭修霞)

    2004-01-01

    A new nonsmooth equations model of constrained minimax problem was derived. The generalized Newton method was applied for solving this system of nonsmooth equations system. A new algorithm for solving constrained minimax problem was established. The local superlinear and quadratic convergences of the algorithm were discussed.

  17. Best Known Problem Solving Strategies in "High-Stakes" Assessments

    Science.gov (United States)

    Hong, Dae S.

    2011-01-01

    In its mathematics standards, National Council of Teachers of Mathematics (NCTM) states that problem solving is an integral part of all mathematics learning and exposure to problem solving strategies should be embedded across the curriculum. Furthermore, by high school, students should be able to use, decide and invent a wide range of strategies.…

  18. The Effects of Service Learning on Student Problem Solving

    Science.gov (United States)

    Guo, Fangfang; Yao, Meilin; Wang, Cong; Yan, Wenfan; Zong, Xiaoli

    2016-01-01

    Previous research indicated that service learning (SL) is an effective pedagogy to improve students' problem-solving ability and increase their classroom engagement. However, studies on SL are rare in China. This study examined the effects of SL on the problem solving of Chinese undergraduate students as well as the mechanism through which it…

  19. Measuring Problem Solving Skills in Plants vs. Zombies 2

    Science.gov (United States)

    Shute, Valerie J.; Moore, Gregory R.; Wang, Lubin

    2015-01-01

    We are using stealth assessment, embedded in "Plants vs. Zombies 2," to measure middle-school students' problem solving skills. This project started by developing a problem solving competency model based on a thorough review of the literature. Next, we identified relevant in-game indicators that would provide evidence about students'…

  20. The Utilization of Problem Solving for the Disabled.

    Science.gov (United States)

    Cardon, Phillip L.; Scott, Michael L.

    The problem-solving process has contributed greatly to the field of technology education and can be used to assist persons with disabilities. One problem-solving design that can help in working with persons with disabilities is the "Engineering for Success" design. This model groups technology education students with teachers of special education…

  1. Fostering Problem-Solving in a Virtual Environment

    Science.gov (United States)

    Morin, Danielle; Thomas, Jennifer D. E.; Saadé, Raafat George

    2015-01-01

    This article investigates students' perceptions of the relationship between Problem-Solving and the activities and resources used in a Web-based course on the fundamentals of Information Technology at a university in Montreal, Canada. We assess for the different learning components of the course, the extent of perceived problem-solving skills…

  2. High School Students' Use of Meiosis When Solving Genetics Problems.

    Science.gov (United States)

    Wynne, Cynthia F.; Stewart, Jim; Passmore, Cindy

    2001-01-01

    Paints a different picture of students' reasoning with meiosis as they solved complex, computer-generated genetics problems, some of which required them to revise their understanding of meiosis in response to anomalous data. Students were able to develop a rich understanding of meiosis and can utilize that knowledge to solve genetics problems.…

  3. Phenomenographic Study of Students' Problem Solving Approaches in Physics

    Science.gov (United States)

    Walsh, Laura N.; Howard, Robert G.; Bowe, Brian

    2007-01-01

    This paper describes ongoing research investigating student approaches to quantitative and qualitative problem solving in physics. This empirical study was conducted using a phenomenographic approach to analyze data from individual semistructured problem solving interviews with 22 introductory college physics students. The main result of the study…

  4. Structured collaboration versus individual learning in solving physics problems

    NARCIS (Netherlands)

    Harskamp, Egbert; Ding, Ning

    2006-01-01

    The research issue in this study is how to structure collaborative learning so that it improves solving physics problems more than individual learning. Structured collaborative learning has been compared with individual learning environments with Schoenfeld's problem-solving episodes. Students took

  5. Administrator Participation in Promoting Effective Problem-Solving Teams

    Science.gov (United States)

    Rafoth, Mary Ann; Foriska, Terry

    2006-01-01

    Although the participation of administrators in problem-solving consultation teams is frequently mentioned in the literature as an important factor in the effectiveness of those teams, there has been little research into the impact of administrators on such teams. The impact of administrator participation on problem-solving consultation teams…

  6. Role of Multiple Representations in Physics Problem Solving

    Science.gov (United States)

    Maries, Alexandru

    2013-01-01

    This thesis explores the role of multiple representations in introductory physics students' problem solving performance through several investigations. Representations can help students focus on the conceptual aspects of physics and play a major role in effective problem solving. Diagrammatic representations can play a particularly important role…

  7. Guides to solving the glass transition problem

    Energy Technology Data Exchange (ETDEWEB)

    Ngai, K L; Roland, C M [Naval Research Laboratory, Washington, DC 20375-5320 (United States); Prevosto, D; Capaccioli, S [PolyLab CNR-INFM and Dipartimento di Fisica, Universita di Pisa, Largo B Pontecorvo 3, I-56127, Pisa (Italy)

    2008-06-18

    Relaxation in glass-forming substances is necessarily a many-body problem because of intermolecular interactions and constraints. Results from molecular dynamics simulations and experiments are used to reveal the critical elements and general effects originating from many-body relaxation, but not dealt with in conventional theories of the glass transition. Although many-body relaxation is still an unsolved problem in statistical mechanics, these critical elements and general effects will serve as guides to the construction of a satisfactory theory of the glass transition. This effort is aided by concepts drawn from the coupling model, whose predictions have been shown to be consistent with experimental facts.

  8. Behavioral flexibility and problem solving in an invasive bird.

    Science.gov (United States)

    Logan, Corina J

    2016-01-01

    Behavioral flexibility is considered an important trait for adapting to environmental change, but it is unclear what it is, how it works, and whether it is a problem solving ability. I investigated behavioral flexibility and problem solving experimentally in great-tailed grackles, an invasive bird species and thus a likely candidate for possessing behavioral flexibility. Grackles demonstrated behavioral flexibility in two contexts, the Aesop's Fable paradigm and a color association test. Contrary to predictions, behavioral flexibility did not correlate across contexts. Four out of 6 grackles exhibited efficient problem solving abilities, but problem solving efficiency did not appear to be directly linked with behavioral flexibility. Problem solving speed also did not significantly correlate with reversal learning scores, indicating that faster learners were not the most flexible. These results reveal how little we know about behavioral flexibility, and provide an immense opportunity for future research to explore how individuals and species can use behavior to react to changing environments.

  9. Randomized controlled trial of a family problem-solving intervention.

    Science.gov (United States)

    Drummond, Jane; Fleming, Darcy; McDonald, Linda; Kysela, Gerard M

    2005-02-01

    Adaptive problem solving contributes to individual and family health and development. In this article, the effect of the cooperative family learning approach (CFLA) on group family problem solving and on cooperative parenting communication is described. A pretest or posttest experimental design was used. Participant families were recruited from Head Start programs and exhibited two or more risk factors. Participant preschool children were screened to have two or more developmental delays. Direct behavioral observation measures were used to determine group family problem solving and cooperative parenting communication outcomes. Few group family problem-solving behaviors were coded, and they displayed little variability. However, intervention parents increased the length of time they played and extended the cooperative parent-child interactions. The evidence shows that CFLA has the potential to enhance parental-modeling of cooperative behavior while engaged in play activities with preschoolers. Direct measurement of group family problem solving was difficult. Solutions are suggested. PMID:15604228

  10. Evolutionary strategies for solving optimization problems

    Science.gov (United States)

    Ebeling, Werner; Reimann, Axel; Molgedey, Lutz

    We will give a survey of applications of thermodynamically and biologically oriented evolutionary strategies for optimization problems. Primarily, we investigate the solution of discrete optimization problems, most of combinatorial type, using a certain class of coupled differential equations. The problem is to find the minimum on a large set of real numbers (the potential) Ui, defined on the integer set i = 1 ...s, where s is an extremely large nu mber. The stationary states of the system correspond to relative optima on the discrete set. First, several elementary evolutionary strategies are described by simple deterministic equations, leading to a high-dimensional system of coupled differential equations. The known equations for thermodynamic search processes and for simple models of biological evolution are unified by defining a two-parameter family of equations which embed both cases. The unified equations model mixed Boltzmann/Darwin- strategies including basic elements of thermodynamical and biological evolution as well. In a next step a master equation model in the occupation number space is defined. We investigate the transition probabilities and the convergence properties using tools from the theory of stochastic processes. Several examples are analyzed. In particular we study the optimization of theoretical model sequences with simple valuation rules. In order to demonstrate that the strategies developed here may also be used to investigate realistic problems we present an example application to RNA folding (search for a minimum free energy configuration).

  11. Sociodrama: Group Creative Problem Solving in Action.

    Science.gov (United States)

    Riley, John F.

    1990-01-01

    Sociodrama is presented as a structured, yet flexible, method of encouraging the use of creative thinking to examine a difficult problem. An example illustrates the steps involved in putting sociodrama into action. Production techniques useful in sociodrama include the soliloquy, double, role reversal, magic shop, unity of opposites, and audience…

  12. ACTIVE AND PARTICIPATORY METHODS IN BIOLOGY: PROBLEM-SOLVING

    Directory of Open Access Journals (Sweden)

    Adela NEMEŞ

    2010-01-01

    Full Text Available We face with considerable challenge of developing students’ problem solving skills in our difficult environment. Good problem solving skills empower managers in their professional and personal lives. Problem solving skills are valued by academics and employers. The informations in Biology are often presented in abstract forms without contextualisation. Creative problem-solving process involves a few steps, which together provide a structured procedure for identifying challenges, generating ideas and implementing innovative solutions: identifying the problem, searching for possible solutions, selecting the most optimal solution and implementing a possible solution. Each aspect of personality has a different orientation to problem solving, different criteria for judging the effectiveness of the process and different associated strengths. Using real-world data in sample problems will also help facilitate the transfer process, since students can more easily identify with the context of a given situation. The paper describes the use of the Problem-Solving in Biology and the method of its administration. It also presents the results of a study undertaken to evaluate the value in teaching Biology. Problem-solving is seen as an essential skill that is developed in biology education.

  13. Collaborative problem solving with a total quality model.

    Science.gov (United States)

    Volden, C M; Monnig, R

    1993-01-01

    A collaborative problem-solving system committed to the interests of those involved complies with the teachings of the total quality management movement in health care. Deming espoused that any quality system must become an integral part of routine activities. A process that is used consistently in dealing with problems, issues, or conflicts provides a mechanism for accomplishing total quality improvement. The collaborative problem-solving process described here results in quality decision-making. This model incorporates Ishikawa's cause-and-effect (fishbone) diagram, Moore's key causes of conflict, and the steps of the University of North Dakota Conflict Resolution Center's collaborative problem solving model.

  14. Collaborative problem solving with a total quality model.

    Science.gov (United States)

    Volden, C M; Monnig, R

    1993-01-01

    A collaborative problem-solving system committed to the interests of those involved complies with the teachings of the total quality management movement in health care. Deming espoused that any quality system must become an integral part of routine activities. A process that is used consistently in dealing with problems, issues, or conflicts provides a mechanism for accomplishing total quality improvement. The collaborative problem-solving process described here results in quality decision-making. This model incorporates Ishikawa's cause-and-effect (fishbone) diagram, Moore's key causes of conflict, and the steps of the University of North Dakota Conflict Resolution Center's collaborative problem solving model. PMID:8161889

  15. Modeling crowdsourcing as collective problem solving

    CERN Document Server

    Guazzini, Andrea; Donati, Camillo; Nardi, Annalisa; Levnajic, Zoran

    2015-01-01

    Crowdsourcing is a process of accumulating the ideas, thoughts or information from many independent participants, with aim to find the best solution for a given challenge. Modern information technologies allow for massive number of subjects to be involved in a more or less spontaneous way. Still, the full potentials of crowdsourcing are yet to be reached. We introduce a modeling framework through which we study the effectiveness of crowdsourcing in relation to the level of collectivism in facing the problem. Our findings reveal an intricate relationship between the number of participants and the difficulty of the problem, indicating the the optimal size of the crowdsourced group. We discuss our results in the context of modern utilization of crowdsourcing.

  16. Learning disabilities and social problem solving skills

    Directory of Open Access Journals (Sweden)

    Pina Filippello

    2013-09-01

    Full Text Available Normal 0 14 false false false MicrosoftInternetExplorer4 Recent studies showed that children with learning disabilities present significant difficulties in learning as well as in social skills (Siperstein, 2009.Therefore, it was observed how it is difficult for these children to establish adequate relationships, especially to advise coping strategies to face interpersonal conflicts (Oliva & LaGreca, 1988. Accordingly to this argument and with reference to Agaliotis e Kalyva (2004, 2009, this study examines the preferences for strategies to solve an hypothetical conflict on a sample of children with LD in comparison to typical developing peers. They used the method of social story to conduct this research. In fact, researchers asked to the children, after they have listened a short story describing an interpersonal conflict interaction between adult and peers,  which strategies they would have chosen if they were in the same situation and the strategies that would be most appropriate to resolve a conflict. Results obtained from the experiment corroborated literature data and demonstrated that children with LD, in comparison to typical developing peers, use and prefer dysfunctional coping strategies, aggressive or passive, also in relation to the partner interaction (adult or peers to face interpersonal conflict.

  17. Smoothing Newton Algorithm for Solving Generalized Complementarity Problem

    Institute of Scientific and Technical Information of China (English)

    刘晓红; 倪铁

    2010-01-01

    The generalized complementarity problem includes the well-known nonlinear complementarity problem and linear complementarity problem as special cases.In this paper, based on a class of smoothing functions, a smoothing Newton-type algorithm is proposed for solving the generalized complementarity problem.Under suitable assumptions, the proposed algorithm is well-defined and global convergent.

  18. Cognitive functioning in mathematical problem solving during early adolescence

    Science.gov (United States)

    Collis, Kevin F.; Watson, Jane M.; Campbell, K. Jennifer

    1993-12-01

    Problem-solving in school mathematics has traditionally been considered as belonging only to the concrete symbolic mode of thinking, the mode which is concerned with making logical, analytical deductions. Little attention has been given to the place of the intuitive processes of the ikonic mode. The present study was designed to explore the interface between logical and intuitive processes in the context of mathematical problem solving. Sixteen Year 9 and 10 students from advanced mathematics classes were individually assessed while they solved five mathematics problems. Each student's problem-solving path, for each problem, was mapped according to the type of strategies used. Strategies were broadly classified into Ikonic (IK) or Concrete Symbolic (CS) categories. Students were given two types of problems to solve: (i) those most likely to attract a concrete symbolic approach; and (ii) problems with a significant imaging or intuitive component. Students were also assessed as to the vividness and controllability of their imaging ability, and their creativity. Results indicated that the nature of the problem is a basic factor in determining the type of strategy used for its solution. Students consistently applied CS strategies to CS problems, and IK strategies to IK problems. In addition, students tended to change modes significantly more often when solving CS-type problems than when solving IK-type problems. A switch to IK functioning appeared to be particularly helpful in breaking an unproductive set when solving a CS-type problem. Individual differences in strategy use were also found, with students high on vividness of imagery using IK strategies more frequently than students who were low on vividness. No relationship was found between IK strategy use and either students' degree of controllability of imagery or their level of creativity. The instructional implications of the results are discussed.

  19. Internet computer coaches for introductory physics problem solving

    Science.gov (United States)

    Xu Ryan, Qing

    The ability to solve problems in a variety of contexts is becoming increasingly important in our rapidly changing technological society. Problem-solving is a complex process that is important for everyday life and crucial for learning physics. Although there is a great deal of effort to improve student problem solving skills throughout the educational system, national studies have shown that the majority of students emerge from such courses having made little progress toward developing good problem-solving skills. The Physics Education Research Group at the University of Minnesota has been developing Internet computer coaches to help students become more expert-like problem solvers. During the Fall 2011 and Spring 2013 semesters, the coaches were introduced into large sections (200+ students) of the calculus based introductory mechanics course at the University of Minnesota. This dissertation, will address the research background of the project, including the pedagogical design of the coaches and the assessment of problem solving. The methodological framework of conducting experiments will be explained. The data collected from the large-scale experimental studies will be discussed from the following aspects: the usage and usability of these coaches; the usefulness perceived by students; and the usefulness measured by final exam and problem solving rubric. It will also address the implications drawn from this study, including using this data to direct future coach design and difficulties in conducting authentic assessment of problem-solving.

  20. The Effects of a Problem Solving Intervention on Problem Solving Skills of Students with Autism during Vocational Tasks

    Science.gov (United States)

    Yakubova, Gulnoza

    2013-01-01

    Problem solving is an important employability skill and considered valuable both in educational settings (Agran & Alper, 2000) and the workplace (Ju, Zhang, & Pacha, 2012). However, limited research exists instructing students with autism to engage in problem solving skills (e.g., Bernard-Opitz, Sriram, & Nakhoda-Sapuan, 2001). The…

  1. How indirect supportive digital help during and after solving physics problems can improve problem-solving abilities

    NARCIS (Netherlands)

    Pol, Henk J.; Harskamp, Egbert G.; Suhre, Cor J. M.; Goedhart, Martin J.

    2009-01-01

    This study investigates the effectiveness of computer-delivered hints in relation to problem-solving abilities in two alternative indirect instruction schemes. In one instruction scheme, hints are available to students immediately after they are given a new problem to solve as well as after they hav

  2. Solving Hub Network Problem Using Genetic Algorithm

    Directory of Open Access Journals (Sweden)

    Mursyid Hasan Basri

    2012-01-01

    Full Text Available This paper addresses a network problem that described as follows. There are n ports that interact, and p of those will be designated as hubs. All hubs are fully interconnected. Each spoke will be allocated to only one of available hubs. Direct connection between two spokes is allowed only if they are allocated to the same hub. The latter is a distinct characteristic that differs it from pure hub-and-spoke system. In case of pure hub-and-spoke system, direct connection between two spokes is not allowed. The problem is where to locate hub ports and to which hub a spoke should be allocated so that total transportation cost is minimum. In the first model, there are some additional aspects are taken into consideration in order to achieve a better representation of the problem. The first, weekly service should be accomplished. Secondly, various vessel types should be considered. The last, a concept of inter-hub discount factor is introduced. Regarding the last aspect, it represents cost reduction factor at hub ports due to economies of scale. In practice, it is common that the cost rate for inter-hub movement is less than the cost rate for movement between hub and origin/destination. In this first model, inter-hub discount factor is assumed independent with amount of flows on inter-hub links (denoted as flow-independent discount policy. The results indicated that the patterns of enlargement of container ship size, to some degree, are similar with those in Kurokawa study. However, with regard to hub locations, the results have not represented the real practice. In the proposed model, unsatisfactory result on hub locations is addressed. One aspect that could possibly be improved to find better hub locations is inter-hub discount factor. Then inter-hub discount factor is assumed to depend on amount of inter-hub flows (denoted as flow-dependent discount policy. There are two discount functions examined in this paper. Both functions are characterized by

  3. Webotherapy: Reading Web Resources for Problem Solving

    OpenAIRE

    Noruzi, Alireza

    2007-01-01

    Purpose – The purpose of this paper is to indicate that when webotherapy is applied, it can be of benefit to clients in giving them insight into their problems, resulting in a change of behavior. Design/methodology/approach – Webotherapy, which can be conducted with individuals or groups, refers to the use of web resources or other online reading material (e.g. e-books, e-journals) to assist clients (especially children and young adults) in their healing process. It may be defined as the u...

  4. Solving SAT Problem Based on Hybrid Differential Evolution Algorithm

    Science.gov (United States)

    Liu, Kunqi; Zhang, Jingmin; Liu, Gang; Kang, Lishan

    Satisfiability (SAT) problem is an NP-complete problem. Based on the analysis about it, SAT problem is translated equally into an optimization problem on the minimum of objective function. A hybrid differential evolution algorithm is proposed to solve the Satisfiability problem. It makes full use of strong local search capacity of hill-climbing algorithm and strong global search capability of differential evolution algorithm, which makes up their disadvantages, improves the efficiency of algorithm and avoids the stagnation phenomenon. The experiment results show that the hybrid algorithm is efficient in solving SAT problem.

  5. From dissecting ignorance to solving algebraic problems

    Energy Technology Data Exchange (ETDEWEB)

    Ayyub, Bilal M

    2004-09-01

    Engineers and scientists are increasingly required to design, test, and validate new complex systems in simulation environments and/or with limited experimental results due to international and/or budgetary restrictions. Dealing with complex systems requires assessing knowledge and information by critically evaluating them in terms relevance, completeness, non-distortion, coherence, and other key measures. Using the concepts and definitions from evolutionary knowledge and epistemology, ignorance is examined and classified in the paper. Two ignorance states for a knowledge agent are identified: (1) non-reflective (or blind) state, i.e. the person does not know of self-ignorance, a case of ignorance of ignorance; and (2) reflective state, i.e. the person knows and recognizes self-ignorance. Ignorance can be viewed to have a hierarchal classification based on its sources and nature as provided in the paper. The paper also explores limits on knowledge construction, closed and open world assumptions, and fundamentals of evidential reasoning using belief revision and diagnostics within the framework of ignorance analysis for knowledge construction. The paper also examines an algebraic problem set as identified by Sandia National Laboratories to be a basic building block for uncertainty propagation in computational mechanics. Solution algorithms are provided for the problem set for various assumptions about the state of knowledge about its parameters.

  6. A UV-decomposed method for solving an MPEC problem

    Institute of Scientific and Technical Information of China (English)

    SHAN Feng; PANG Li-ping; ZHU Li-mei; XIA Zun-quan

    2008-01-01

    A UV-decomposition method for solving a mathematical program with equilibrium constraints(MPEC)problem with linear complementarity constraints is presented.The problem is first converted into a nonlinear programming one.The structure of subdifierential a corresponding penalty function and refults of its UV-decomposition are given.A conceptual algorithm for solving this problem with a superlinear convergence rate is then constructed in terms of the obtained results.

  7. Earth rotation: Solved and unsolved problems

    Science.gov (United States)

    Cazenave, A.; Paquet, P.

    A workshop dedicated to earth rotation problems was held in Bonas, France, June 11-13, 1985. It was organized by the North Atlantic Treaty Organization (NATO) Scientific Affairs Division and the Council of Europe and was attended by 39 participants from eight different countries.In the last 10 years, extremely precise measurements of the earth's rotation parameters and new global geophysical data have become available, allowing major advances to be made in the understanding of the various irregularities affecting the earth's rotation. The aim of this workshop was to bring together scientists who have made important contributions in this field during the last decade, both at the observational and geophysical interpretation levels. The first session was dedicated to the definition, implementation, and maintenance of the terrestrial and celestial reference systems.

  8. Linking problem solving and learning contents

    DEFF Research Database (Denmark)

    Bosch, Marianna; Winsløw, Carl

    2016-01-01

    A main difference between the mathematical activity of students and that of researchers is that researchers pursue their mathematical work in a seemingly self-sustaining dynamics of questions and answers, while students rely on teachers to sustain this dynamics. Unlike researchers, students...... generally do not construct the questions they work on, and do not search, rearrange and question the established contents they need to answer the questions. The basic problem approached in this paper is: could students also engage in a more self-sustaining and complete work with questions and answers? We...... to new external answers and their test against an appropriate experimental milieu is shown to be a crucial bootstrap for the dynamics of research and study processes....

  9. Solved Problems in Lagrangian and Hamiltonian Mechanics

    CERN Document Server

    Gignoux, Claude

    2009-01-01

    The aim of this work is to bridge the gap between the well-known Newtonian mechanics and the studies on chaos, ordinarily reserved to experts. Several topics are treated: Lagrangian, Hamiltonian and Jacobi formalisms, studies of integrable and quasi-integrable systems. The chapter devoted to chaos also enables a simple presentation of the KAM theorem. All the important notions are recalled in summaries of the lectures. They are illustrated by many original problems, stemming from real-life situations, the solutions of which are worked out in great detail for the benefit of the reader. This book will be of interest to undergraduate students as well as others whose work involves mechanics, physics and engineering in general.

  10. Solving Tensor Structured Problems with Computational Tensor Algebra

    CERN Document Server

    Morozov, Oleksii

    2010-01-01

    Since its introduction by Gauss, Matrix Algebra has facilitated understanding of scientific problems, hiding distracting details and finding more elegant and efficient ways of computational solving. Today's largest problems, which often originate from multidimensional data, might profit from even higher levels of abstraction. We developed a framework for solving tensor structured problems with tensor algebra that unifies concepts from tensor analysis, multilinear algebra and multidimensional signal processing. In contrast to the conventional matrix approach, it allows the formulation of multidimensional problems, in a multidimensional way, preserving structure and data coherence; and the implementation of automated optimizations of solving algorithms, based on the commutativity of all tensor operations. Its ability to handle large scientific tasks is showcased by a real-world, 4D medical imaging problem, with more than 30 million unknown parameters solved on a current, inexpensive hardware. This significantly...

  11. Fedorov's attempt to solve the nutation problem

    Science.gov (United States)

    Yatskiv, Ya. S.

    First of all a brief history of the investigation of nutation carried out before Fedorov's first studies of this problem is presented. Afterwards the main attention is paid to the Fedorov's determination of corrections to nutation coefficients from latitude observations and to the Fedorov's theory of nutation of a perfectly elastic Earth. Fedorov showed that elastic deformations do not virtually affect the motion of the axis of angular momentum in space, i.e. the nutation of this axis. At the same time they diminish the coefficients of the expression of forced nearly diurnal motion of the pole, the so-called Oppolzer terms. Therefore Fedorov compared the expression of these terms for a perfectly elastic Earth with observations and stated: - the Earth as a whole is not a perfectly elastic body: - the theory of nutation of the Earth consisting of an elastic mantle and a fluid core has not been developed to a degree such that it is possible to test this theory by observations.

  12. Problem-solving Model for Managing Stress and Anxiety

    OpenAIRE

    Taghi Abutalebi Ahmadi

    2013-01-01

    The purpose of this study is to take a look at problem-solving model for managing stress and anxiety. If each of us as a human being has an organized method for solving the different problems of our life, at that time we can get along with stress and anxiety easily. The capability of problem solving makes it possible for that person a) to distinguish emotions in himself and others b) to understand how excitement affects behavior c) to be able to show different reactions to different emotions....

  13. A Numerical Embedding Method for Solving the Nonlinear Optimization Problem

    Institute of Scientific and Technical Information of China (English)

    田保锋; 戴云仙; 孟泽红; 张建军

    2003-01-01

    A numerical embedding method was proposed for solving the nonlinear optimization problem. By using the nonsmooth theory, the existence and the continuation of the following path for the corresponding homotopy equations were proved. Therefore the basic theory for the algorithm of the numerical embedding method for solving the non-linear optimization problem was established. Based on the theoretical results, a numerical embedding algorithm was designed for solving the nonlinear optimization problem, and prove its convergence carefully. Numerical experiments show that the algorithm is effective.

  14. Cognitive Backgrounds of Problem Solving: A Comparison of Open-Ended vs. Closed Mathematics Problems

    Science.gov (United States)

    Bahar, Abdulkadir; Maker, C. June

    2015-01-01

    Problem solving has been a core theme in education for several decades. Educators and policy makers agree on the importance of the role of problem solving skills for school and real life success. A primary purpose of this study was to investigate the influence of cognitive abilities on mathematical problem solving performance of elementary…

  15. Assessing Student Written Problem Solutions: A Problem-Solving Rubric with Application to Introductory Physics

    Science.gov (United States)

    Docktor, Jennifer L.; Dornfeld, Jay; Frodermann, Evan; Heller, Kenneth; Hsu, Leonardo; Jackson, Koblar Alan; Mason, Andrew; Ryan, Qing X.; Yang, Jie

    2016-01-01

    Problem solving is a complex process valuable in everyday life and crucial for learning in the STEM fields. To support the development of problem-solving skills it is important for researchers and curriculum developers to have practical tools that can measure the difference between novice and expert problem-solving performance in authentic…

  16. A unified constructive network model for problem-solving.

    Science.gov (United States)

    Takahashi, Y

    1996-01-01

    We develop a neural network model that relieves time-consuming trial-and-error computer experiments usually performed in problem-solving with networks where problems, including the traveling salesman problem, pattern matching and pattern classification/learning, are formulated as optimization problems with constraint. First, we specify and uniquely distinguish the model as a set of constituent functions that should comply with restrictive conditions. Next, we demonstrate that it is unified, i.e., it yields most current networks. Finally, we verify that it is constructive, that is, we show a standard method that systematically constructs from a given optimization problem a particular network in that model to solve it.

  17. A Trust Region Algorithm for Solving Bilevel Programming Problems

    Institute of Scientific and Technical Information of China (English)

    Guo-shan LIU; Shi-qin XU; Ji-ye HAN

    2013-01-01

    In this paper,we present a new trust region algorithm for a nonlinear bilevel programming problem by solving a series of its linear or quadratic approximation subproblems.For the nonlinear bilevel programming problem in which the lower level programming problem is a strongly convex programming problem with linear constraints,we show that each accumulation point of the iterative sequence produced by this algorithm is a stationary point of the bilevel programming problem.

  18. Neural network method for solving elastoplastic finite element problems

    Institute of Scientific and Technical Information of China (English)

    2006-01-01

    A basic optimization principle of Artificial Neural Network-the Lagrange Programming Neural Network (LPNN) model for solving elastoplastic finite element problems is presented. The nonlinear problems of mechanics are represented as a neural network based optimization problem by adopting the nonlinear function as nerve cell transfer function. Finally, two simple elastoplastic problems are numerically simulated. LPNN optimization results for elastoplastic problem are found to be comparable to traditional Hopfield neural network optimization model.

  19. Arithmetic Word-Problem-Solving in Huntington's Disease

    Science.gov (United States)

    Allain, P.; Verny, C.; Aubin, G.; Pinon, K.; Bonneau, D.; Dubas, F.; Gall, D.L.

    2005-01-01

    The purpose of this study was to examine executive functioning in patients with Huntington's disease using an arithmetic word-problem-solving task including eight solvable problems of increasing complexity and four aberrant problems. Ten patients with Huntington's disease and 12 normal control subjects matched by age and education were tested.…

  20. Problem Solving in Student Police Officers' Professional Development

    Science.gov (United States)

    Zascerinska, Jelena; Zascerinskis, Mihails

    2011-01-01

    Introduction: The success of human safety requires the ability of police officers in problem solving within continuing professional development to be considered. Aim of the study: To analyze problem based teaching and learning in tertiary education within continuing professional development. Materials and methods: The search for problem based…

  1. Solving the Airline Crew Pairing Problem using Subsequence Generation

    DEFF Research Database (Denmark)

    Rasmussen, Matias Sevel; Ryan, David; Lusby, Richard Martin;

    2009-01-01

    Good and fast solutions to the airline crew pairing problem are highly interesting for the airline industry, as crew costs are the biggest expenditure after fuel for an airline. The crew pairing problem is typically modelled as a set partitioning problem and solved by column generation. However...

  2. Solving the Airline Crew Pairing Problem using Subsequence Generation

    DEFF Research Database (Denmark)

    Rasmussen, Matias Sevel; Ryan, David M.; Lusby, Richard Martin;

    2010-01-01

    Good and fast solutions to the airline crew pairing problem are highly interesting for the airline industry, as crew costs are the biggest expenditure after fuel for an airline. The crew pairing problem is typically modelled as a set partitioning problem and solved by column generation. However...

  3. Solving the Airline Crew Pairing Problem using Subsequence Generation

    DEFF Research Database (Denmark)

    Rasmussen, Matias Sevel; Lusby, Richard Martin; Ryan, David M.;

    Good and fast solutions to the airline crew pairing problem are highly interesting for the airline industry, as crew costs are the biggest expenditure after fuel for an airline. The crew pairing problem is typically modelled as a set partitioning problem and solved by column generation. However...

  4. Productive and Re-Productive Thinking in Solving Insight Problems

    Science.gov (United States)

    Cunningham, J. Barton; MacGregor, James N.

    2014-01-01

    Many innovations in organizations result when people discover insightful solutions to problems. Insightful problem-solving was considered by Gestalt psychologists to be associated with productive, as opposed to re-productive, thinking. Productive thinking is characterized by shifts in perspective which allow the problem solver to consider new,…

  5. Socratic Problem-Solving in the Business World

    Science.gov (United States)

    Peterson, Evan

    2009-01-01

    Accurate and effective decision-making is one of the most essential skills necessary for organizational success. The problem-solving process provides a systematic means of effectively recognizing, analyzing, and solving a dilemma. The key element in this process is critical analysis of the situation, which can be executed by a taking a Socratic…

  6. A descriptive model of information problem solving while using internet

    NARCIS (Netherlands)

    Brand-Gruwel, Saskia; Wopereis, Iwan; Walraven, Amber

    2009-01-01

    This paper presents the IPS-I-model: a model that describes the process of information problem solving (IPS) in which the Internet (I) is used to search information. The IPS-I-model is based on three studies, in which students in secondary and (post) higher education were asked to solve information

  7. Solving Engineering, Project, and Production Management Problems through Modeling

    OpenAIRE

    Chien-Ho Ko

    2016-01-01

    This issue presents five papers covering engineering management, project management, and production management. While distinct, these three fields frequently overlap and share common managerial concepts, e.g. solving problems through modeling.

  8. Synectics: Teaching Creative Problem Solving by Making the Familiar Strange.

    Science.gov (United States)

    Springfield, Lynn Hardie

    1986-01-01

    The article describes the theory of synectics, an idea producing process, and shows how upper elementary gifted students can be taught to use synectics in more effective problem solving. Steps in the synectics process are reviewed. (CL)

  9. Stepping out of history : Mindfulness improves insight problem solving

    NARCIS (Netherlands)

    Ostafin, B.D.; Kassman, K.T.

    2012-01-01

    Insight problem solving is hindered by automated verbal-conceptual processes. Because mindfulness meditation training aims at "nonconceptual awareness" which involves a reduced influence of habitual verbal-conceptual processes on the interpretation of ongoing experience, mindfulness may facilitate i

  10. MULTILEVEL ITERATION METHODS FOR SOLVING LINEAR ILL-POSED PROBLEMS

    Institute of Scientific and Technical Information of China (English)

    2005-01-01

    In this paper we develop multilevel iteration methods for solving linear systems resulting from the Galerkin method and Tikhonov regularization for ill-posed problems. The algorithm and its convergence analysis are presented in an abstract framework.

  11. Mathematical Thinking and Creativity through Mathematical Problem Posing and Solving

    Directory of Open Access Journals (Sweden)

    María F. Ayllón

    2016-04-01

    Full Text Available This work shows the relationship between the development of mathematical thinking and creativity with mathematical problem posing and solving. Creativity and mathematics are disciplines that do not usually appear together. Both concepts constitute complex processes sharing elements, such as fluency (number of ideas, flexibility (range of ideas, novelty (unique idea and elaboration (idea development. These factors contribute, among others, to the fact that schoolchildren are competent in mathematics. The problem solving and posing are a very powerful evaluation tool that shows the mathematical reasoning and creative level of a person. Creativity is part of the mathematics education and is a necessary ingredient to perform mathematical assignments. This contribution presents some important research works about problem posing and solving related to the development of mathematical knowledge and creativity. To that end, it is based on various beliefs reflected in the literature with respect to notions of creativity, problem solving and posing.

  12. Analyzing patterns in experts' approaches to solving experimental problems

    Science.gov (United States)

    Čančula, Maja Poklinek; Planinšič, Gorazd; Etkina, Eugenia

    2015-04-01

    We report detailed observations of three pairs of expert scientists and a pair of advanced undergraduate students solving an experimental optics problem. Using a new method ("transition graphs") of visualizing sequences of logical steps, we were able to compare the groups and identify patterns that could not be found using previously existing methods. While the problem solving of undergraduates significantly differed from that of experts at the beginning of the process, it gradually became more similar to the expert problem solving. We mapped problem solving steps and their sequence to the elements of an approach to teaching and learning physics called Investigative Science Learning Environment (ISLE), and we speculate that the ISLE educational framework closely represents the actual work of physicists.

  13. Finite Volume Methods for Solving Electromagnetic Problems in Nonhomogeneous Media

    Institute of Scientific and Technical Information of China (English)

    Zou Jun

    2003-01-01

    This article shall review some of the recent advances on finite volume methods for solving electromagnetic problems in nonhomogeneous media. The stability, conver gence and applications of the finite volume methods will be discussed.

  14. Exact Methods for Solving the Train Departure Matching Problem

    DEFF Research Database (Denmark)

    Haahr, Jørgen Thorlund; Bull, Simon Henry

    In this paper we consider the train departure matching problem which is an important subproblem of the Rolling Stock Unit Management on Railway Sites problem introduced in the ROADEF/EURO Challenge 2014. The subproblem entails matching arriving train units to scheduled departing trains at a railway...... site while respecting multiple physical and operational constraints. In this paper we formally define that subproblem, prove its NP- hardness, and present two exact method approaches for solving the problem. First, we present a compact Mixed Integer Program formulation which we solve using a MIP solver....... Second, we present a formulation with an exponential number of variables which we solve using column generation. Our results show that both approaches have difficulties solving the ROADEF problem instances to optimality. The column generation approach is however able to generate good quality solutions...

  15. Problem solving in foundation engineering using foundationPro

    CERN Document Server

    Yamin, Mohammad

    2016-01-01

    This book is at once a supplement to traditional foundation engineering textbooks and an independent problem-solving learning tool. The book is written primarily for university students majoring in civil or construction engineering taking foundation analysis and design courses to encourage them to solve design problems. Its main aim is to stimulate problem solving capability and foster self-directed learning. It also explains the use of the foundationPro software, available at no cost, and includes a set of foundation engineering applications. Taking a unique approach, Dr. Yamin summarizes the general step-by-step procedure to solve various foundation engineering problems, illustrates traditional applications of these steps with longhand solutions, and presents the foundationPro solutions. The special structure of the book allows it to be used in undergraduate and graduate foundation design and analysis courses in civil and construction engineering. The book stands as valuable resource for students, faculty, ...

  16. Problem-Solving Methods in Agent-Oriented Software Engineering

    Science.gov (United States)

    Bogg, Paul; Beydoun, Ghassan; Low, Graham

    Problem-solving methods (PSM) are abstract structures that describe specific reasoning processes employed to solve a set of similar problems. We envisage that off-the-shelf PSMs can assist in the development of agent-oriented solutions, not only as reusable and extensible components that software engineers employ for designing agent architecture solutions, but just as importantly as a set of runtime capabilities that agents themselves dynamically employ in order to solve problems. This chapter describes PSMs for agent-oriented software engineering (AOSE) that address interaction-dependent problem-solving such as negotiation or cooperation. An extension to an AOSE methodology MOBMAS is proposed whereby PSMs are integrated in the software development phases of MAS Organization Design, Internal Design, and Interaction Design. In this way, knowledge engineering drives the development of agent-oriented systems.

  17. USING PROBLEM-SOLVING SOFTWARE IN THE ESL CLASSROOM

    Institute of Scientific and Technical Information of China (English)

    1998-01-01

    This paper examines the possibilities for and implications of integrating problem-solving software into the foreign language classroom, and offers a one-hour lesson plan with the use of a piece of problemsolving software as an example.

  18. Teaching Clinical Problem Solving in a Preclinical Operative Dentistry Course.

    Science.gov (United States)

    Silvestri, Anthony R., Jr.; Cohen, Steven N.

    1981-01-01

    A method developed at Tufts University School of Dental Medicine for teaching modification of cavity design to large numbers of preclinical students in operative dentistry is reported. It standardizes the learning process for this complex problem-solving skill. (MLW)

  19. The Intermediate Impossible: A Prewriting Activity for Creative Problem Solving.

    Science.gov (United States)

    Karloff, Kenneth

    1985-01-01

    Adapts Edward de Bono's "Intermediate Impossible" strategy--for considering ideas that normally would be discarded as stepping-stones to new ideas--for use as a prewriting activity to enhance creative problem solving. (HTH)

  20. Assessing Mathematics 4. Problem Solving: The APU Approach.

    Science.gov (United States)

    Foxman, Derek; And Others

    1984-01-01

    Presented are examples of problem-solving items from practical and written mathematics tests. These tests are part of an English survey designed to assess the mathematics achievement of students aged 11 and 15. (JN)

  1. Solving the Optimal Trading Trajectory Problem Using a Quantum Annealer

    Science.gov (United States)

    Rosenberg, Gili; Haghnegahdar, Poya; Goddard, Phil; Carr, Peter; Wu, Kesheng; de Prado, Marcos Lopez

    2016-09-01

    We solve a multi-period portfolio optimization problem using D-Wave Systems' quantum annealer. We derive a formulation of the problem, discuss several possible integer encoding schemes, and present numerical examples that show high success rates. The formulation incorporates transaction costs (including permanent and temporary market impact), and, significantly, the solution does not require the inversion of a covariance matrix. The discrete multi-period portfolio optimization problem we solve is significantly harder than the continuous variable problem. We present insight into how results may be improved using suitable software enhancements, and why current quantum annealing technology limits the size of problem that can be successfully solved today. The formulation presented is specifically designed to be scalable, with the expectation that as quantum annealing technology improves, larger problems will be solvable using the same techniques.

  2. Hopfield networks for solving Tower of Hanoi problems

    Science.gov (United States)

    Kaplan, G. B.; Güzeliş, Cüneyt

    2001-08-01

    In this paper, Hopfield neural networks have been considered in solving the Tower of Hanoi test which is used in the determining of deficit of planning capability of the human prefrontal cortex. The main difference between this paper and the ones in the literature which use neural networks is that the Tower of Hanoi problem has been formulated here as a special shortest-path problem. In the literature, some Hopfield networks are developed for solving the shortest path problem which is a combinatorial optimization problem having a diverse field of application. The approach given in this paper gives the possibility of solving the Tower of Hanoi problem using these Hopfield networks. Also, the paper proposes new Hopfield network models for the shortest path and hence the Tower of Hanoi problems and compares them to the available ones in terms of the memory and time (number of steps) needed in the simulations.

  3. Reflection on problem solving in introductory and advanced physics

    Science.gov (United States)

    Mason, Andrew J.

    Reflection is essential in order to learn from problem solving. This thesis explores issues related to how reflective students are and how we can improve their capacity for reflection on problem solving. We investigate how students naturally reflect in their physics courses about problem solving and evaluate strategies that may teach them reflection as an integral component of problem-solving. Problem categorization based upon similarity of solution is a strategy to help them reflect about the deep features of the problems related to the physics principles involved. We find that there is a large overlap between the introductory and graduate students in their ability to categorize. Moreover, introductory students in the calculus-based courses performed better categorization than those in the algebra-based courses even though the categorization task is conceptual. Other investigations involved exploring if reflection could be taught as a skill on individual and group levels. Explicit self-diagnosis in recitation investigated how effectively students could diagnose their own errors on difficult problems, how much scaffolding was necessary for this purpose, and how effective transfer was to other problems employing similar principles. Difficulty in applying physical principles and difference between the self-diagnosed and transfer problems affected performance. We concluded that a sustained intervention is required to learn effective problem-solving strategies. Another study involving reflection on problem solving with peers suggests that those who reflected with peers drew more diagrams and had a larger gain from the midterm to final exam. Another study in quantum mechanics involved giving common problems in midterm and final exams and suggested that advanced students do not automatically reflect on their mistakes. Interviews revealed that even advanced students often focus mostly on exams rather than learning and building a robust knowledge structure. A survey was

  4. The art and science of participative problem solving

    DEFF Research Database (Denmark)

    Vidal, Rene Victor Valqui

    In this paper we will document that real-life problem solving in complex situations demands both rational (scientific) and intuitive (artistic) thinking. First, the concepts of art and science will be discussed; differences and similarities will be enhanced. Thereafter the concept of group problem...... solving facilitation both as science and art will be presented. A case study related to examinations planning will be discussed to illustrate the main concepts in practice. In addition, other cases studies will also be shortly presented....

  5. Social Problem Solving Ability Predicts Mental Health Among Undergraduate Students

    OpenAIRE

    Mansour Ranjbar; Ali Asghar Bayani; Ali Bayani

    2013-01-01

    Background : The main objective of this study was predicting student′s mental health using social problem solving- ability . Methods : In this correlational- descriptive study, 369 (208 female and 161 male) from, Mazandaran University of Medical Science were selected through stratified random sampling method. In order to collect the data, the social problem solving inventory-revised and general health questionnaire were used. Data were analyzed through SPSS-19, Pearson′s correlation, t tes...

  6. (Numerical algorithms for solving linear algebra problems). Final report

    Energy Technology Data Exchange (ETDEWEB)

    Golub, G.H.

    1985-04-16

    We have concentrated on developing and analyzing various numerical algorithms for solving problems arising in a linear algebra context. The papers and research fall into basically three categories: (1) iterative methods for solving linear equations arising from p.d.e.'s; (2) calculation of Gauss-type quadrature rules; and (3) solution of matrix and data problems arising in statistical computation. We summarize some of these results, highlighting those which are of most importance.

  7. Solving complex problems: Human identification and control of complex systems

    OpenAIRE

    Funke, Joachim

    1991-01-01

    Studying complex problem solving by means of computer-simulated scenarios has become one of the favorite themes of modern theorists in German-speaking countries who are concerned with the psychology of thinking. Following the pioneering work of Dietrich Doerner (University of Bamberg, FRG) in the mid-70s, many new scenarios have been developed and applied in correlational as well as in experimental studies (for a review see Funke, 1988). Instead of studying problem-solving behavior in restric...

  8. Algorithms for solving inverse geophysical problems on parallel computing systems

    OpenAIRE

    Akimova, E. N.; Belousov, D. V.; Misilov, V. E.

    2013-01-01

    For solving inverse gravimetry problems, efficient stable parallel algorithms based on iterative gradient methods are proposed. For solving systems of linear algebraic equations with block-tridiagonal matrices arising in geoelectrics problems, a parallel matrix sweep algorithm, a square root method, and a conjugate gradient method with preconditioner are proposed. The algorithms are implemented numerically on a parallel computing system of the Institute of Mathematics and Mechanics (PCS-IMM),...

  9. Problem Solving and Critical Thinking Skills of Undergraduate Nursing Students

    OpenAIRE

    KANBAY, Yalçın; Aslan, Özgür; Elif IŞIK; Nurhayat KILIÇ

    2013-01-01

    Due to the fact that critical thinking and problem solving skills are essential components of educational and social lives of individuals, this present study which investigate critical thinking and problem solving skills of undergraduate students of nursing was planned. This is a descriptive study. The study population consisted of undergraduate nursing students of a university during the 2011-2012 academic year. Any specific sampling method was not determined and only the voluntary students ...

  10. Complex problem solving: a case for complex cognition?

    OpenAIRE

    Funke, Joachim

    2010-01-01

    Complex problem solving (CPS) emerged in the last 30 years in Europe as a new part of the psychology of thinking and problem solving. This paper introduces into the field and provides a personal view. Also, related concepts like macrocognition or operative intelligence will be explained in this context. Two examples for the assessment of CPS, Tailorshop and MicroDYN, are presented to illustrate the concept by means of their measurement devices. Also, the relation of complex cognition and emot...

  11. Learning Style and Problem Solving in Technology Education(I)

    OpenAIRE

    Miyakawa, Hidetoshi; Asakawa, Masaki; Tsuzuki, Chie

    2002-01-01

    The present study examines the situation on fostering problem solving ability to clarify how students' learning styles affect it in Technology Education. Leaning styles are classified into three categories: "Versatile and Deep Holist Type", "Deep Serialist Type", and "Surface Type". Problem solving abilities are also classified into three structures: "Thinking Ability", "Affective Domain", and "Skills". As a result, characteristic tendency is found regarding the relation between students' lea...

  12. L'INSIGHT PROBLEM SOLVING IN ETA' EVOLUTIVA

    OpenAIRE

    Macchi, L.; Bagassi, M

    2014-01-01

    Malgrado l’ampio dibattito che si è recentemente sviluppato intorno allo studio dell’insight problem solving (Ut Na Sio, Ormerod, 2009, 2013; Gilhooly, 2010, 2009; Macchi, Ball, in press), risultano ancora scarsi i contributi relativi all’età evolutiva (Davidson, Sternberg, 1984, 1998; Bermejo, Sternberg, 1996), presumibilmente anche a causa delle modeste prestazioni già riscontrate nella popolazione adulta. Le ricerche sul problem solving nel periodo evolutivo si sono focalizzate, da una par...

  13. Situated, embodied and social problem-solving in virtual worlds

    Directory of Open Access Journals (Sweden)

    Maree Gosper

    2011-12-01

    Full Text Available Contemporary theories of problem-solving highlight that expertise is domainspecific, contingent on the social context and available resources, and involvesknowledge, skills, attitudes, emotions and values. Developing educational activitiesthat incorporate all of these elements is a challenge. Through case studies,this paper outlines how situated, embodied and social problem-solving activitieswithin virtual worlds can elicit responses that engage all facets of expertise.

  14. Teaching effective problem solving skills to radiation protection students

    International Nuclear Information System (INIS)

    Full text: Problem solving skills are essential for all radiation protection personnel. Although some students have more natural problem solving skills than others, all students require practice to become comfortable using these skills. At the University of Ontario Institute of Technology (UOIT), a unique one-semester course was developed as part of the core curriculum to teach students problem solving skills and elements of modelling and simulation. The underlying emphasis of the course was to allow students to develop their own problem solving strategies, both individually and in groups. Direction was provided on how to examine problems from different perspectives, and how to determine the proper root problem statement. A five-point problem solving strategy was presented as: 1) Problem definition; 2) Solution generation; 3) Decision; 4) Implementation; 5) Evaluation. Within the strategy, problem solving techniques were integrated from diverse areas such as: De Bono 's six thinking hats, Kepner-Tregoe decision analysis, Covey's seven habits of highly effective people, Reason's swiss cheese theory of complex failure, and Howlett's common failure modes. As part of the evaluation step, students critically explore areas such as ethics and environmental responsibility. In addition to exploring problem solving methods, students learn the usefulness of simulation methods, and how to model and simulate complex phenomena of relevance to radiation protection. Computational aspects of problem solving are explored using the commercially available MATLAB computer code. A number of case studies are presented as both examples and problems to the students. Emphasis was placed on solutions to problems of interest to radiation protection, health physics and nuclear engineering. A group project, pertaining to an accident or event related to the nuclear industry is a course requirement. Students learn to utilize common time and project management tools such as flowcharting, Pareto

  15. Self-affirmation improves problem-solving under stress.

    Directory of Open Access Journals (Sweden)

    J David Creswell

    Full Text Available High levels of acute and chronic stress are known to impair problem-solving and creativity on a broad range of tasks. Despite this evidence, we know little about protective factors for mitigating the deleterious effects of stress on problem-solving. Building on previous research showing that self-affirmation can buffer stress, we tested whether an experimental manipulation of self-affirmation improves problem-solving performance in chronically stressed participants. Eighty undergraduates indicated their perceived chronic stress over the previous month and were randomly assigned to either a self-affirmation or control condition. They then completed 30 difficult remote associate problem-solving items under time pressure in front of an evaluator. Results showed that self-affirmation improved problem-solving performance in underperforming chronically stressed individuals. This research suggests a novel means for boosting problem-solving under stress and may have important implications for understanding how self-affirmation boosts academic achievement in school settings.

  16. Representation use and strategy choice in physics problem solving

    Science.gov (United States)

    De Cock, Mieke

    2012-12-01

    In this paper, we examine student success on three variants of a test item given in different representational formats (verbal, pictorial, and graphical), with an isomorphic problem statement. We confirm results from recent papers where it is mentioned that physics students’ problem-solving competence can vary with representational format and that solutions can be triggered by particular details of the representation. Previous studies are complemented with a fine grained analysis of solution strategies. We find that students use different problem-solving strategies, depending on the representational format in which the problem is stated.

  17. Solving Large Clustering Problems with Meta-Heuristic Search

    DEFF Research Database (Denmark)

    Turkensteen, Marcel; Andersen, Kim Allan; Bang-Jensen, Jørgen

    In Clustering Problems, groups of similar subjects are to be retrieved from data sets. In this paper, Clustering Problems with the frequently used Minimum Sum-of-Squares Criterion are solved using meta-heuristic search. Tabu search has proved to be a successful methodology for solving optimization...... problems, but applications to large clustering problems are rare. The simulated annealing heuristic has mainly been applied to relatively small instances. In this paper, we implement tabu search and simulated annealing approaches and compare them to the commonly used k-means approach. We find that the meta......-heuristic search methods are able to return solutions of very high quality....

  18. Taylor Series Approximation to Solve Neutrosophic Multiobjective Programming Problem

    Directory of Open Access Journals (Sweden)

    Ibrahim M. Hezam

    2015-12-01

    Full Text Available In this paper, Taylor series is used to solve neutrosophic multi-objective programming problem (NMOPP. In the proposed approach, the truth membership, Indeterminacy membership, falsity membership functions associated with each objective of multi-objective programming problems are transformed into a single objective linear programming problem by using a first order Taylor polynomial series. Finally, to illustrate the efficiency of the proposed method, a numerical experiment for supplier selection is given as an application of Taylor series method for solving neutrosophic multi-objective programming problem at end of this paper.

  19. Creative Problem Solving A Guide for Trainers and Management

    CERN Document Server

    Van Gundy, Arthur B

    1987-01-01

    Creative problem solving (CPS) is a six-step process designed to help people systematically resolve nonroutine, ambiguous types of problems. Because most organizational problems tend to be nonroutine, skill in using CPS process can confer a significant competitive advantage. Creative Problem Solving gives training managers the information they need to develop and teach a course on CPS. VanGundy provides an overview of the process, elements of the creative climate needed to foster CPS and innovative thinking, creative thinking exercises designed to illustrate specific CPS principles, and easy-t

  20. An ant colony algorithm for solving Max-cut problem

    Institute of Scientific and Technical Information of China (English)

    Lin Gao; Yan Zeng; Anguo Dong

    2008-01-01

    Max-cut problem is an NP-complete and classical combinatorial optimization problem that has a wide range of appfications in dif-ferent domains,such as bioinformatics,network optimization,statistical physics,and very large scale integration design.In this paper we investigate the capabilities of the ant colony optimization(ACO)heuristic for solving the Max-cut problem and present an AntCut algo-rithm.A large number of simulation experiments show that the algorithm can solve the Max-cut problem more efficiently and effectively.

  1. Problem-solving Model for Managing Stress and Anxiety

    Directory of Open Access Journals (Sweden)

    Taghi Abutalebi Ahmadi

    2013-07-01

    Full Text Available The purpose of this study is to take a look at problem-solving model for managing stress and anxiety. If each of us as a human being has an organized method for solving the different problems of our life, at that time we can get along with stress and anxiety easily. The capability of problem solving makes it possible for that person a to distinguish emotions in himself and others b to understand how excitement affects behavior c to be able to show different reactions to different emotions. If we don’t deal with emotional states such as grief, anger or anxiety properly, theses emotions will have negative effects on the physical and mental health of the person. Problem solving teaching is a treatment method by which the person learns to utilize effective cognitive skills to get along with inter-personal and problematic situations. In this study, we would like to emphasize the importance of the problem-solving teaching, and learn about its varieties and principal and implementation techniques, so that we can use it to manage our internal and environmental stressors. Among the various models, I will mention the easy and helpful five-step problem solving approach of Dixon and Glover (1984, as cited Yari (2009 as an example including describing the problem, stating the problem in precise and clear terms, selecting guidelines for solving the problems and prioritizing them, implementing the guidelines characterized at the previous stage, finally evaluating. At this stage, we will consider what we have gained vis a vis what we had hoped to gain.

  2. An event-based architecture for solving constraint satisfaction problems

    Science.gov (United States)

    Mostafa, Hesham; Müller, Lorenz K.; Indiveri, Giacomo

    2015-12-01

    Constraint satisfaction problems are ubiquitous in many domains. They are typically solved using conventional digital computing architectures that do not reflect the distributed nature of many of these problems, and are thus ill-suited for solving them. Here we present a parallel analogue/digital hardware architecture specifically designed to solve such problems. We cast constraint satisfaction problems as networks of stereotyped nodes that communicate using digital pulses, or events. Each node contains an oscillator implemented using analogue circuits. The non-repeating phase relations among the oscillators drive the exploration of the solution space. We show that this hardware architecture can yield state-of-the-art performance on random SAT problems under reasonable assumptions on the implementation. We present measurements from a prototype electronic chip to demonstrate that a physical implementation of the proposed architecture is robust to practical non-idealities and to validate the theory proposed.

  3. Effect of Misconception on Transfer in Problem Solving

    CERN Document Server

    Singh, Chandralekha

    2016-01-01

    We examine the effect of misconceptions about friction on students' ability to solve problems and transfer from one context to another. We analyze written responses to paired isomorphic problems given to introductory physics students and discussions with a subset of students. Misconceptions associated with friction in problems were sometimes so robust that pairing them with isomorphic problems not involving friction did not help students fully discern their underlying similarities.

  4. Representational Format, Student Choice, and Problem Solving in Physics

    Science.gov (United States)

    Kohl, P. B.; Finkelstein, N. D.

    2005-09-01

    Student problem-solving ability appears to be tied to the representational format of the problem (math, pictorial, graphical, verbal). In a study of a 367-student algebra-based physics class, we examine student problem solving ability on homework problems given in four different representational formats, with problems as close to isomorphic as possible. In addition, we examine students' capacity for assessing their own representational competence by giving follow-up quizzes in which the students can choose between various problem formats. We report student performance and consider factors that may influence their ability or choices. As a control, part of the class was assigned a random-format follow-up quiz where students received quiz formats at random. We find that there are statistically significant performance differences between isomorphic problems. We also find that allowing students to choose which representational format they use improves student performance under some circumstances and degrades it in others.

  5. The Development of Potential Problem Solving of Students, Mahasarakham University

    Directory of Open Access Journals (Sweden)

    Amorn Suwannimitr

    2010-01-01

    Full Text Available Problem statement: The problem is a state of difficulty that needs to be resolved. It is involve in daily life of everyone including the students who study in University. Basically, they have to face with the physiological and psychological change; the significant problems also exactly affected to them. These situations led them to be the risk group in which they would have inappropriate behaviors. Consequently, the quality of life of the students, their families and society would impact eventually. Approach: To (1 describe the potential of problem solving of the students of Mahasarakham University, (2 compare the potential of problem solving between the group of students, (3 purpose the strategies to improve problem solving potential. This descriptive research using cluster random sampling, to define the sample, which consisted of 355 students, separated by 3 group. They were: (1 Human-Social Science, (2 Science and Technology and (3 Health Science. The research instrument was the problem solving inventory which comprised of three components; (1 problem solving confidence (2 approach-avoidance style and (3 personal control. Descriptive statistic and inferential statistic (t-test, F-test was applied. Results: The majority of the subjects were female (77.2% the mean age of 18.66 and more than 55.8% were over 19 years old. Most of them were studied in the area of Human and Social Science (69.3 %. The problem solving potential level of these students in overall were in moderate level with the mean scores of 102.95. To divided by group, their mean score were: (1 the Human-Social Science group = 104.85 (2; the Health Science group = 94.86 and (3 the Science and Technology = 105.32. Most of students who able to solve the problem quite well were coping with the positive approach by did not avoiding the problem. In addition, they played attention with problem analysis, using emotional control and using the process of decision making. In contrast, the

  6. THE OPEN SOLUTION METHODOLOGY APPROACH TO PROBLEM SOLVING

    Directory of Open Access Journals (Sweden)

    A.C.J. Van Rensburg

    2012-01-01

    Full Text Available

    ENGLISH ABSTRACT: The Open Solution Methodology is a generic problem solving methodology which is used to solve system related problems through the application of problem solving techniques. The focus of the application of this methodology is aimed at modelling organisations, or areas within organisations. The application ofthe Open Solution Methodology provides the benefit of having the ability to comprehend and integrate all aspects of the system, while having a formal and structured approach for problem solving. Together with the reduction in system analysis time, problem solving techniques such as simulation modelling are focused through the Open Solution Methodology models to enhance the quality Ofsolutions.

    AFRIKAANSE OPSOMMING: Die "Open Solution Methodology" is 'n generiese probleemoplossingsmetodologie wat gebruik word om stelselverwante probleme op te los deur die toepassing van problemoplossingstegnieke. Die fokus van hierdie metodologie toepassing is gernik op die modellering van organisasies, of gedeeltes van organisasies. Die "Open Solution Methodology" toepassing verskaf die voordeel om aile aspekte van die stelsel te verstaan en te integreer, terwyl daarvan 'n formele en gestruktureerde benadering tot probleemoplossing gebruik gemaak word. Tesame met die gepaardgaande verkorting van stelselanalisetyd, word die "Open Solution Methodology" modelle gebruik om die toepassing van probleemoplossingstegnieke te fokus omsodoende kwaliteit van die oplossings te verhoog.

  7. How can we improve problem solving in undergraduate biology? Applying lessons from 30 years of physics education research.

    Science.gov (United States)

    Hoskinson, A-M; Caballero, M D; Knight, J K

    2013-06-01

    If students are to successfully grapple with authentic, complex biological problems as scientists and citizens, they need practice solving such problems during their undergraduate years. Physics education researchers have investigated student problem solving for the past three decades. Although physics and biology problems differ in structure and content, the instructional purposes align closely: explaining patterns and processes in the natural world and making predictions about physical and biological systems. In this paper, we discuss how research-supported approaches developed by physics education researchers can be adopted by biologists to enhance student problem-solving skills. First, we compare the problems that biology students are typically asked to solve with authentic, complex problems. We then describe the development of research-validated physics curricula emphasizing process skills in problem solving. We show that solving authentic, complex biology problems requires many of the same skills that practicing physicists and biologists use in representing problems, seeking relationships, making predictions, and verifying or checking solutions. We assert that acquiring these skills can help biology students become competent problem solvers. Finally, we propose how biology scholars can apply lessons from physics education in their classrooms and inspire new studies in biology education research.

  8. A Lagrangean Relaxtion Based Algorithm for Solving Set Partitioning Problems

    NARCIS (Netherlands)

    van Krieken, M.G.C.; Fleuren, H.A.; Peeters, M.J.P.

    2004-01-01

    In this paper we discuss a solver that is developed to solve set partitioning problems.The methods used include problem reduction techniques, lagrangean relaxation and primal and dual heuristics.The optimal solution is found using a branch and bound approach.In this paper we discuss these techniques

  9. The Importance of Monitoring Skills in Physics Problem Solving

    Science.gov (United States)

    Ali, Marlina; Talib, Corrienna-Abd; Hasniza Ibrahim, Nor; Surif, Johari; Halim Abdullah, Abdul

    2016-01-01

    The purpose of this paper is to show how important "monitoring" is as metacognitive skills in solving physics problems in the field mechanics. Based on test scores, twenty one students were divided into two groups: more successful (MS) and less successful (LS) problem solvers. Students were allowed to think-aloud while they worked on…

  10. Evaluating Students' Beliefs in Problem Solving Process: A Case Study

    Science.gov (United States)

    Ozturk, Tugba; Guven, Bulent

    2016-01-01

    Problem solving is not simply a process that ends when an answer is found; it is a scientific process that evolves from understanding the problem to evaluating the solution. This process is affected by several factors. Among these, one of the most substantial is belief. The purpose of this study was to evaluate the beliefs of high school students…

  11. Fast Multilevel Methods for Solving Ill-posed Problems

    Institute of Scientific and Technical Information of China (English)

    陈仲英; 宋丽红; 马富明

    2005-01-01

    Many industrial and engineering applications require numerically solving ill-posed problems. Regularization methods are employed to find approximate solutions of these problems. The choice of regularization parameters by numerical algorithms is one of the most important issues for the success of regularization methods. When we use some discrepancy principles to determine the regularization parameter,

  12. A Problem-Solving Oral Examination for Family Medicine

    Science.gov (United States)

    Van Wart, Arthur D.

    1974-01-01

    The College of Family Physicians of Canada has used in its certification examination a new type of structured problem-solving examination called the Formal Oral. A series of preselected problem areas such as the complaint, relevant data base, investigation, and treatment are scored by two examiners. (Editor/PG)

  13. Schoenfeld's problem solving theory in a student controlled learning environment

    NARCIS (Netherlands)

    Harskamp, E.; Suhre, C.

    2007-01-01

    This paper evaluates the effectiveness of a student controlled computer program for high school mathematics based on instruction principles derived from Schoenfeld's theory of problem solving. The computer program allows students to choose problems and to make use of hints during different episodes

  14. Exploring the Role of Conceptual Scaffolding in Solving Synthesis Problems

    Science.gov (United States)

    Ding, Lin; Reay, Neville; Lee, Albert; Bao, Lei

    2011-01-01

    It is well documented that when solving problems experts first search for underlying concepts while students tend to look for equations and previously worked examples. The overwhelming majority of end-of-chapter (EOC) problems in most introductory physics textbooks contain only material and examples discussed in a single chapter, rarely requiring…

  15. Solving the Liner Shipping Fleet Repositioning Problem with Cargo Flows

    DEFF Research Database (Denmark)

    Tierney, Kevin; Askelsdottir, Björg; Jensen, Rune Møller;

    2015-01-01

    We solve a central problem in the liner shipping industry called the liner shipping fleet repositioning problem (LSFRP). The LSFRP poses a large financial burden on liner shipping firms. During repositioning, vessels are moved between routes in a liner shipping network. Liner carriers wish...

  16. Two Aspects of Meaningful Problem Solving in Science.

    Science.gov (United States)

    Stewart, James

    1982-01-01

    Presents a model for solving genetics problems when problem statements include information on which alleles are dominant/recessive and on what forms of a trait are coded for by the alleles. Includes procedural steps employed in a solution and conceptual knowledge of genetics/meiosis allowing students to justify what they have done. (Author/JN)

  17. The Students Decision Making in Solving Discount Problem

    Science.gov (United States)

    Abdillah; Nusantara, Toto; Subanji; Susanto, Hery; Abadyo

    2016-01-01

    This research is reviewing students' process of decision making intuitively, analytically, and interactively. The research done by using discount problem which specially created to explore student's intuition, analytically, and interactively. In solving discount problems, researcher exploring student's decision in determining their attitude which…

  18. Problem Solving in Genetics: Conceptual and Procedural Difficulties

    Science.gov (United States)

    Karagoz, Meryem; Cakir, Mustafa

    2011-01-01

    The purpose of this study was to explore prospective biology teachers' understandings of fundamental genetics concepts and the association between misconceptions and genetics problem solving abilities. Specifically, the study describes conceptual and procedural difficulties which influence prospective biology teachers' genetics problem solving…

  19. Paradigms and Problem-Solving: A Literature Review.

    Science.gov (United States)

    Berner, Eta S.

    1984-01-01

    Thomas Kuhn's conceptions of the influence of paradigms on the progress of science form the framework for analyzing how medical educators have approached research on medical problem solving. A new paradigm emphasizing multiple types of problems with varied solution strategies is proposed. (Author/MLW)

  20. Computer Simulations and Problem-Solving in Probability.

    Science.gov (United States)

    Camp, John S.

    1978-01-01

    The purpose of this paper is to present problems (and solutions) from the areas of marketing, population planning, system reliability, and mathematics to show how a computer simulation can be used as a problem-solving strategy in probability. Examples using BASIC and two methods of generating random numbers are given. (Author/MP)

  1. Another Approach to Solving Problems in Rotational Statics.

    Science.gov (United States)

    Fineman, Morton A.; Burnett, Carl, Jr.

    1985-01-01

    Presents a technique which aids students in solving static problems involving three or more torques about a given axis. The method is longer and equivalent to the standard method, but students experience success with this new way to treat the more complicated equilibrium problems. (DH)

  2. Kangaroo Methods for Solving the Interval Discrete Logarithm Problem

    OpenAIRE

    Fowler, Alex; Galbraith, Steven

    2015-01-01

    The interval discrete logarithm problem is defined as follows: Given some $g,h$ in a group $G$, and some $N \\in \\mathbb{N}$ such that $g^z=h$ for some $z$ where $0 \\leq z < N$, find $z$. At the moment, kangaroo methods are the best low memory algorithm to solve the interval discrete logarithm problem. The fastest non parallelised kangaroo methods to solve this problem are the three kangaroo method, and the four kangaroo method. These respectively have expected average running times of $\\big(1...

  3. Successive projection method for solving the unbalanced Procrustes problem

    Institute of Scientific and Technical Information of China (English)

    ZHANG Zhenyue; DU Keqin

    2006-01-01

    We present a successive projection method for solving the unbalanced Procrustes problem: given matrix A ∈ Rn×n and B ∈ Rn×κ, n >κ, minimize the residual ‖AQ - B‖F with the orthonormal constraint QTQ = Iκ on the variant Q ∈ Rn×κ. The presented algorithm consists of solving k least squares problems with quadratic constraints and an expanded balance problem at each sweep. We give a detailed convergence analysis. Numerical experiments reported in this paper show that our new algorithm is superior to other existing methods.

  4. An Approach for Solving Linear Fractional Programming Problems

    Directory of Open Access Journals (Sweden)

    Andrew Oyakhobo Odior

    2012-08-01

    Full Text Available Linear fractional programming problems are useful tools in production planning, financial and corporate planning, health care and hospital planning and as such have attracted considerable research interest. The paper presents a new approach for solving a fractional linear programming problem in which the objective function is a linear fractional function, while the constraint functions are in the form of linear inequalities. The approach adopted is based mainly upon solving the problem algebraically using the concept of duality and partial fractions and an example is given to clarify the developed method.

  5. A Novel Method for Solving Unbounded Knapsack Problem

    Institute of Scientific and Technical Information of China (English)

    CHEN Rung-Ching; LIN Ming-Hsian

    2009-01-01

    Knapsack problem is one kind of NP-Complete problem. Unbounded knapsack problems are more complex and harder than general knapsack problem. In this paper, we apply QGAs (Quantum Genetic Algorithms) to solve unbounded knapsack problem and then follow other procedures. First, present the problem into the mode of QGAs and figure out the corresponding genes types and their fitness functions. Then, find the perfect combination of limitation and largest benefit. Finally, the best solution will be found. Primary experiment indicates that our method has well results.

  6. Domain decomposition methods for solving an image problem

    Energy Technology Data Exchange (ETDEWEB)

    Tsui, W.K.; Tong, C.S. [Hong Kong Baptist College (Hong Kong)

    1994-12-31

    The domain decomposition method is a technique to break up a problem so that ensuing sub-problems can be solved on a parallel computer. In order to improve the convergence rate of the capacitance systems, pre-conditioned conjugate gradient methods are commonly used. In the last decade, most of the efficient preconditioners are based on elliptic partial differential equations which are particularly useful for solving elliptic partial differential equations. In this paper, the authors apply the so called covering preconditioner, which is based on the information of the operator under investigation. Therefore, it is good for various kinds of applications, specifically, they shall apply the preconditioned domain decomposition method for solving an image restoration problem. The image restoration problem is to extract an original image which has been degraded by a known convolution process and additive Gaussian noise.

  7. An adaptive genetic algorithm for solving bilevel linear programming problem

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    Bilevel linear programming, which consists of the objective functions of the upper level and lower level, is a useful tool for modeling decentralized decision problems.Various methods are proposed for solving this problem. Of all the algorithms, the genetic algorithm is an alternative to conventional approaches to find the solution of the bilevel linear programming. In this paper, we describe an adaptive genetic algorithm for solving the bilevel linear programming problem to overcome the difficulty of determining the probabilities of crossover and mutation. In addition, some techniques are adopted not only to deal with the difficulty that most of the chromosomes may be infeasible in solving constrained optimization problem with genetic algorithm but also to improve the efficiency of the algorithm. The performance of this proposed algorithm is illustrated by the examples from references.

  8. Review on solving the forward problem in EEG source analysis

    Directory of Open Access Journals (Sweden)

    Vergult Anneleen

    2007-11-01

    Full Text Available Abstract Background The aim of electroencephalogram (EEG source localization is to find the brain areas responsible for EEG waves of interest. It consists of solving forward and inverse problems. The forward problem is solved by starting from a given electrical source and calculating the potentials at the electrodes. These evaluations are necessary to solve the inverse problem which is defined as finding brain sources which are responsible for the measured potentials at the EEG electrodes. Methods While other reviews give an extensive summary of the both forward and inverse problem, this review article focuses on different aspects of solving the forward problem and it is intended for newcomers in this research field. Results It starts with focusing on the generators of the EEG: the post-synaptic potentials in the apical dendrites of pyramidal neurons. These cells generate an extracellular current which can be modeled by Poisson's differential equation, and Neumann and Dirichlet boundary conditions. The compartments in which these currents flow can be anisotropic (e.g. skull and white matter. In a three-shell spherical head model an analytical expression exists to solve the forward problem. During the last two decades researchers have tried to solve Poisson's equation in a realistically shaped head model obtained from 3D medical images, which requires numerical methods. The following methods are compared with each other: the boundary element method (BEM, the finite element method (FEM and the finite difference method (FDM. In the last two methods anisotropic conducting compartments can conveniently be introduced. Then the focus will be set on the use of reciprocity in EEG source localization. It is introduced to speed up the forward calculations which are here performed for each electrode position rather than for each dipole position. Solving Poisson's equation utilizing FEM and FDM corresponds to solving a large sparse linear system. Iterative

  9. Sinus actuator solves emc problems; Sinussteller loest EMV-Probleme

    Energy Technology Data Exchange (ETDEWEB)

    Kammerer, Olaf [Systemtechnik LEBER GmbH und Co. KG, Schwaig (Germany)

    2009-11-15

    The steep slope of the phase angle variation control tend to cause problems of electromagnetic compatibility. A sinus actuator controls the amplitude of the current continuously from 0 to 100 percent. It also has low power loss and requires no rectifier. (orig.)

  10. EISPACK-J: subprogram package for solving eigenvalue problems

    International Nuclear Information System (INIS)

    EISPACK-J, a subprogram package for solving eigenvalue problems, has been developed and subprograms with a variety of functions have been prepared. These subprograms can solve standard problems of complex matrices, general problems of real matrices and special problems in which only the required eigenvalues and eigenvectors are calculated. They are compared to existing subprograms, showing their features through benchmark tests. Many test problems, including realistic scale problems, are provided for the benchmark tests. Discussions are made on computer core storage and computing time required for each subprogram, and accuracy of the solution. The results show that the subprograms of EISPACK-J, based on Householder, QR and inverse iteration methods, are the best in computing time and accuracy. (author)

  11. Science Teachers and Problem Solving in Elementary Schools in Singapore

    Science.gov (United States)

    Lee, Kam-Wah L.; Tan, Li-Li; Goh, Ngoh-Khang; Lee, Kam-Wah L.; Chia, Lian-Sai; Chin, Christine

    2000-01-01

    The purpose of this study was to investigate the extent to which science teachers taught problem solving in elementary science. The survey involved 348 teachers in 36 Singapore elementary schools. The study investigated the science teachers' views about their use of science instructional techniques in general and the problem-solving teaching approach in particular. It also focused on the difficulties faced by science teachers in implementing the problem-solving teaching approach in the science classroom. It was found that the most emphasised activities were completion of science workbooks, teachers' explanation of concepts, and hands-on activities. The least emphasised activities were computer-based learning, activities beyond the textbook and workbook, and visits to the ecology garden and other parts of the school. Only about one-third of the teachers often conducted activities pertaining to problem solving. Most of them were more concerned about covering the science syllabus for examinations, the physical constraints of the learning environment, and pupils' abilities and motivation. On the other hand, teacher-related factors ranked low: these included teachers' preference for teaching and learning outcomes, their ability to maintain control over pupils' learning, feelings of inadequacy of science knowledge, and insufficient understanding of the pedagogical method of teaching problem solving.

  12. SOLVING MINIMUM SPANNING TREE PROBLEM WITH DNA COMPUTING

    Institute of Scientific and Technical Information of China (English)

    Liu Xikui; Li Yan; Xu Jin

    2005-01-01

    Molecular programming is applied to minimum spanning problem whose solution requires encoding of real values in DNA strands. A new encoding scheme is proposed for real values that is biologically plausible and has a fixed code length. According to the characteristics of the problem, a DNA algorithm solving the minimum spanning tree problem is given. The effectiveness of the proposed method is verified by simulation. The advantages and disadvantages of this algorithm are discussed.

  13. How to Formulate and Solve Statistical Recognition and Learning Problems

    OpenAIRE

    Schlesinger, Michail; Vodolazskiy, Evgeniy

    2015-01-01

    We formulate problems of statistical recognition and learning in a common framework of complex hypothesis testing. Based on arguments from multi-criteria optimization, we identify strategies that are improper for solving these problems and derive a common form of the remaining strategies. We show that some widely used approaches to recognition and learning are improper in this sense. We then propose a generalized formulation of the recognition and learning problem which embraces the whole ran...

  14. Solving Multiobjective Optimization Problems Using Artificial Bee Colony Algorithm

    OpenAIRE

    Beiwei Zhang; Hanning Chen; Yunlong Zhu; Wenping Zou

    2011-01-01

    Multiobjective optimization has been a difficult problem and focus for research in fields of science and engineering. This paper presents a novel algorithm based on artificial bee colony (ABC) to deal with multi-objective optimization problems. ABC is one of the most recently introduced algorithms based on the intelligent foraging behavior of a honey bee swarm. It uses less control parameters, and it can be efficiently used for solving multimodal and multidimensional optimization problems. Ou...

  15. THE IMPORTANCE OF MONITORING SKILLS IN PHYSICS PROBLEM SOLVING

    OpenAIRE

    Marlina; Corrienna; Nor; Johari; Abdul

    2016-01-01

    The purpose of this paper is to show how important “monitoring” is as metacognitive skills in solving physics problems in the field mechanics. Based on test scores, twenty one students were divided into two groups: more successful (MS) and less successful (LS) problem solvers. Students were allowed to think-aloud while they worked on their problems. Each of the students was videotaped, and interviewed right after the task. A schema was used to grade the written answers. As a concl...

  16. The construction of the representation in solving a physics problem

    Directory of Open Access Journals (Sweden)

    Enrique A. Coleoni

    2001-09-01

    Full Text Available Written solutions of a physics problem provided by high school students in a physics olympiad are analysed. The study was done on the basis of theoretical developments which take into account peculiarities of the understanding of scientific problems. Some errors are typefied according to failures at different levels of the representation process. A categorization is proposed suggesting the possibility of reinterpreting some mistakes made by physics students in problem solving.

  17. Project Management and Problem Solving Methods in Management Consulting

    OpenAIRE

    Gábor, Richard

    2011-01-01

    Conducting management consulting project for Transparency International Czech Republic, the leading non-profit non-governmental organization active in anti-corruption practices, by applying selected project management and problem solving methods, the objective of the thesis is to support the assumption that proper selection and application of suitable methods to problem identification, definition and decomposition enables to come up with the solution of the problem by analyzing it with no nee...

  18. Deconstructing Insight: EEG Correlates of Insightful Problem Solving

    OpenAIRE

    Simone Sandkühler; Joydeep Bhattacharya

    2008-01-01

    BACKGROUND: Cognitive insight phenomenon lies at the core of numerous discoveries. Behavioral research indicates four salient features of insightful problem solving: (i) mental impasse, followed by (ii) restructuring of the problem representation, which leads to (iii) a deeper understanding of the problem, and finally culminates in (iv) an "Aha!" feeling of suddenness and obviousness of the solution. However, until now no efforts have been made to investigate the neural mechanisms of these co...

  19. Optimal calculational schemes for solving multigroup photon transport problem

    International Nuclear Information System (INIS)

    A scheme of complex algorithm for solving multigroup equation of radiation transport is suggested. The algorithm is based on using the method of successive collisions, the method of forward scattering and the spherical harmonics method, and is realized in the FORAP program (FORTRAN, BESM-6 computer). As an example the results of calculating reactor photon transport in water are presented. The considered algorithm being modified may be used for solving neutron transport problems

  20. Creative and Participative Problem Solving - The Art and the Science

    DEFF Research Database (Denmark)

    Vidal, Rene Victor Valqui

    This book collects my experiences as a facilitator for many different communities and organizations and as a teacher at the Technical University of Denmark for the courses Creativity and Problem Solving and Systemic Operational Research. Several of the chapters has been used in my lecturing...... activities in Denmark and abroad. The target groups for this book are people and professionals from communities, organizations, and ad-hoc groups facing problematic situations that have to be solved in an innovative way....

  1. Solving the uncalibrated photometric stereo problem using total variation

    DEFF Research Database (Denmark)

    Quéau, Yvain; Lauze, Francois Bernard; Durou, Jean-Denis

    2013-01-01

    In this paper we propose a new method to solve the problem of uncalibrated photometric stereo, making very weak assumptions on the properties of the scene to be reconstructed. Our goal is to solve the generalized bas-relief ambiguity (GBR) by performing a total variation regularization of both...... the estimated normal field and albedo. Unlike most of the previous attempts to solve this ambiguity, our approach does not rely on any prior information about the shape or the albedo, apart from its piecewise smoothness. We test our method on real images and obtain results comparable to the state...

  2. Solving the MDBCS Problem Using the Metaheuric–Genetic Algorithm

    Directory of Open Access Journals (Sweden)

    Milena Bogdanovic

    2011-12-01

    Full Text Available The problems degree-limited graph of nodes considering the weight of the vertex or weight of the edges, with the aim to find the optimal weighted graph in terms of certain restrictions on the degree of the vertices in the subgraph. This class of combinatorial problems was extensively studied because of the implementation and application in network design, connection of networks and routing algorithms. It is likely that solution of MDBCS problem will find its place and application in these areas. The paper is given an ILP model to solve the problem MDBCS, as well as the genetic algorithm, which calculates a good enough solution for the input graph with a greater number of nodes. An important feature of the heuristic algorithms is that can approximate, but still good enough to solve the problems of exponential complexity. However, it should solve the problem heuristic algorithms may not lead to a satisfactory solution, and that for some of the problems, heuristic algorithms give relatively poor results. This is particularly true of problems for which no exact polynomial algorithm complexity. Also, heuristic algorithms are not the same, because some parts of heuristic algorithms differ depending on the situation and problems in which they are used. These parts are usually the objective function (transformation, and their definition significantly affects the efficiency of the algorithm. By mode of action, genetic algorithms are among the methods directed random search space solutions are looking for a global optimum.

  3. Improve Problem Solving Skills through Adapting Programming Tools

    Science.gov (United States)

    Shaykhian, Linda H.; Shaykhian, Gholam Ali

    2007-01-01

    There are numerous ways for engineers and students to become better problem-solvers. The use of command line and visual programming tools can help to model a problem and formulate a solution through visualization. The analysis of problem attributes and constraints provide insight into the scope and complexity of the problem. The visualization aspect of the problem-solving approach tends to make students and engineers more systematic in their thought process and help them catch errors before proceeding too far in the wrong direction. The problem-solver identifies and defines important terms, variables, rules, and procedures required for solving a problem. Every step required to construct the problem solution can be defined in program commands that produce intermediate output. This paper advocates improved problem solving skills through using a programming tool. MatLab created by MathWorks, is an interactive numerical computing environment and programming language. It is a matrix-based system that easily lends itself to matrix manipulation, and plotting of functions and data. MatLab can be used as an interactive command line or a sequence of commands that can be saved in a file as a script or named functions. Prior programming experience is not required to use MatLab commands. The GNU Octave, part of the GNU project, a free computer program for performing numerical computations, is comparable to MatLab. MatLab visual and command programming are presented here.

  4. How to encourage university students to solve physics problems requiring mathematical skills: the 'adventurous problem solving' approach

    Science.gov (United States)

    DeMul, Frits F. M.; Batlle, Cristina Martin i.; DeBruijn, Imme; Rinzema, Kees

    2004-01-01

    Teaching physics to first-year university students (in the USA: junior/senior level) is often hampered by their lack of skills in the underlying mathematics, and that in turn may block their understanding of the physics and their ability to solve problems. Examples are vector algebra, differential expressions and multi-dimensional integrations, and the Gauss and Ampère laws learnt in electromagnetism courses. To enhance those skills in a quick and efficient way we have developed 'Integrating Mathematics in University Physics', in which students are provided with a selection of problems (exercises) that explicitly deal with the relation between physics and mathematics. The project is based on computer-assisted instruction (CAI), and available via the Internet (http://tnweb.tn.utwente.nl/onderwijs/; or http://www.utwente.nl/; search or click to: CONECT). Normally, in CAI a predefined student-guiding sequence for problem solving is used (systematic problem solving). For self-learning this approach was found to be far too rigid. Therefore, we developed the 'adventurous problem solving' (APS) method. In this new approach, the student has to find the solution by developing his own problem-solving strategy in an interactive way. The assessment of mathematical answers to physical questions is performed using a background link with an algebraic symbolic language interpreter. This manuscript concentrates on the subject of APS.

  5. Teaching Problem Solving; the Effect of Algorithmic and Heuristic Problem Solving Training in Relation to Task Complexity and Relevant Aptitudes.

    Science.gov (United States)

    de Leeuw, L.

    Sixty-four fifth and sixth-grade pupils were taught number series extrapolation by either an algorithm, fully prescribed problem-solving method or a heuristic, less prescribed method. The trained problems were within categories of two degrees of complexity. There were 16 subjects in each cell of the 2 by 2 design used. Aptitude Treatment…

  6. Concrete Physics Method for Solving NP hard Problem

    Institute of Scientific and Technical Information of China (English)

    2001-01-01

    With a NP hard problem given, we may find a equivalent physicalworld. The rule of the changing of the physical states is simply the algorithm for sol ving the original NP hard problem .It is the most natural algorithm for solving NP hard problems. In this paper we deal with a famous example , the well known NP hard problem--Circles Packing. It shows that our algorithm is dramatically very efficient. We are inspired that, the concrete physics algorithm will alway s be very efficient for NP hard problem.

  7. An Algorithm to Solve Separable Nonlinear Least Square Problem

    Directory of Open Access Journals (Sweden)

    Wajeb Gharibi

    2013-07-01

    Full Text Available Separable Nonlinear Least Squares (SNLS problem is a special class of Nonlinear Least Squares (NLS problems, whose objective function is a mixture of linear and nonlinear functions. SNLS has many applications in several areas, especially in the field of Operations Research and Computer Science. Problems related to the class of NLS are hard to resolve having infinite-norm metric. This paper gives a brief explanation about SNLS problem and offers a Lagrangian based algorithm for solving mixed linear-nonlinear minimization problem

  8. A Problem-Solving Conceptual Framework and Its Implications in Designing Problem-Posing Tasks

    Science.gov (United States)

    Singer, Florence Mihaela; Voica, Cristian

    2013-01-01

    The links between the mathematical and cognitive models that interact during problem solving are explored with the purpose of developing a reference framework for designing problem-posing tasks. When the process of solving is a successful one, a solver successively changes his/her cognitive stances related to the problem via transformations that…

  9. Second International Conference on Soft Computing for Problem Solving

    CERN Document Server

    Nagar, Atulya; Deep, Kusum; Pant, Millie; Bansal, Jagdish; Ray, Kanad; Gupta, Umesh

    2014-01-01

    The present book is based on the research papers presented in the International Conference on Soft Computing for Problem Solving (SocProS 2012), held at JK Lakshmipat University, Jaipur, India. This book provides the latest developments in the area of soft computing and covers a variety of topics, including mathematical modeling, image processing, optimization, swarm intelligence, evolutionary algorithms, fuzzy logic, neural networks, forecasting, data mining, etc. The objective of the book is to familiarize the reader with the latest scientific developments that are taking place in various fields and the latest sophisticated problem solving tools that are being developed to deal with the complex and intricate problems that are otherwise difficult to solve by the usual and traditional methods. The book is directed to the researchers and scientists engaged in various fields of Science and Technology.

  10. Bigger brains may make better problem-solving carnivores.

    Science.gov (United States)

    Vonk, Jennifer

    2016-06-01

    Benson-Amram, Dantzer, Stricker, Swanson, & Holekamp's (Proceedings of the National Academy of Sciences, 113, 25321-25376, 2016) recent demonstration that larger-brained carnivores were more successful in a single problem-solving task, relative to smaller-brained carnivores, irrespective of social complexity, poses a challenge to proponents of the social intelligence hypothesis (Humphrey, 1976) and provides some support for the idea that larger relative brain sizes have evolved to support greater problem-solving abilities. However, an important question, neglected by the authors, is the extent to which foraging ecology, rather than social environment, more accurately predicts problem solving, and whether this relationship would be observed in noncarnivore, noncaptive animals across a range of tasks.

  11. Secondary School Teachers’ Perceptions about Their Problem Solving Abilities

    Directory of Open Access Journals (Sweden)

    Hasan DEMİRTAŞ

    2008-01-01

    Full Text Available The purpose of the study is to determine the perceptions of high school teachers abouttheir level of problem solving skills and to find out whether their perceptions differaccording to gender, seniority, branch, marital status, how many children they have, thelast school of graduation, their mothers’ and fathers’ the level of education. Theresearch was conducted on 445 high school teachers working in Malatya city centerduring 2005-2006 academic year. The data were collected using Problem SolvingInventory, Form-A (PSI-A. In order to analyze the data, t-test, One-Way Anova, LSD,Kruskal Wallis H-test, and Mann Whitney U-test were used. Research results revealedthat high school teachers perceived their problem solving skill levels as “medium”.Results also showed that there were statistically significant differences among teachers’perceptions according to their seniority, the last school of graduation, and theeducation level of teachers’ mothers and fathers.

  12. Third International Conference on Soft Computing for Problem Solving

    CERN Document Server

    Deep, Kusum; Nagar, Atulya; Bansal, Jagdish

    2014-01-01

    The present book is based on the research papers presented in the 3rd International Conference on Soft Computing for Problem Solving (SocProS 2013), held as a part of the golden jubilee celebrations of the Saharanpur Campus of IIT Roorkee, at the Noida Campus of Indian Institute of Technology Roorkee, India. This book is divided into two volumes and covers a variety of topics including mathematical modelling, image processing, optimization, swarm intelligence, evolutionary algorithms, fuzzy logic, neural networks, forecasting, medical and health care, data mining etc. Particular emphasis is laid on soft computing and its application to diverse fields. The prime objective of the book is to familiarize the reader with the latest scientific developments that are taking place in various fields and the latest sophisticated problem solving tools that are being developed to deal with the complex and intricate problems, which are otherwise difficult to solve by the usual and traditional methods. The book is directed ...

  13. The Role of Problem Solving in Construction Management Practices

    DEFF Research Database (Denmark)

    Schultz, Casper Siebken

    2012-01-01

    industry. An Industrial PhD carried out at a large Danish contractor examined how failures and defects are produced and handled in the social practices of construction projects. The study addresses quality issues related to project management and examines the role of problem solving practices......-dispositions regarding quality issues in the decision making and redressing of defects and failures in the processes. The role of problem solving and trouble-shooting is analysed through the well-organized processes of erecting the precast concrete structure and the chaotic processes of constructing the penthouse storey...... not only to the planning but also to facilitate and support the problem-solving and trouble-shooting competencies of projects managers....

  14. Solving the constrained shortest path problem using random search strategy

    Institute of Scientific and Technical Information of China (English)

    2010-01-01

    In this paper, we propose an improved walk search strategy to solve the constrained shortest path problem. The proposed search strategy is a local search algorithm which explores a network by walker navigating through the network. In order to analyze and evaluate the proposed search strategy, we present the results of three computational studies in which the proposed search algorithm is tested. Moreover, we compare the proposed algorithm with the ant colony algorithm and k shortest paths algorithm. The analysis and comparison results demonstrate that the proposed algorithm is an effective tool for solving the constrained shortest path problem. It can not only be used to solve the optimization problem on a larger network, but also is superior to the ant colony algorithm in terms of the solution time and optimal paths.

  15. Mentalising and social problem-solving after brain injury.

    Science.gov (United States)

    Channon, Shelley; Crawford, Sarah

    2010-10-01

    This study examined the performance of adults with an acquired brain injury (ABI) on social cognition tasks assessing mentalistic interpretation and social problem-solving. These tasks were based on an earlier version described by Channon and Crawford (1999). Twenty participants with an ABI (10 resulting from a traumatic brain injury, 10 from a cerebrovascular accident), were found to be impaired relative to 20 matched control participants in interpreting scenarios involving either actions or sarcastic remarks on the Mentalistic Interpretation Task. When problem-solving ability was examined, the participants with an ABI were poorer at solving social problems on the Social Problem Resolution Task, and generated fewer responses on the Social Problem Fluency Task. They also had greater difficulty in detecting the awkward elements of the social situations, and in selecting appropriate solutions from a range of alternatives. These tasks provide a potential clinical tool for pinpointing an individual's strengths and weaknesses in everyday social communication and problem-solving, which can serve as the basis for designing individualised rehabilitation programmes. PMID:20526955

  16. Pengembangan Perangkat Pembelajaran Matematika Berorientasi Open-ended Problem Solving

    Directory of Open Access Journals (Sweden)

    Ni Nyoman Parwati

    2013-01-01

    Full Text Available Abstract: Developing Mathematics Learning Materials Oriented to Open-ended Problem Solving. Mathematics learning should develop students' critical and creative thinking competences, which can be done through open-ended problem-solving activities. This study aims at developing mathematics learning materials for the fifth grade of elementary schools which can facilitate such activities. The de­velopment process employed a four-D model (define, design, develop, and disseminate. At the define and design stages, the researcher produced the drafts of student's book, student's worksheet, and teacher's manual accompanied with the lesson plans. At the develop and disseminate stages, the mathematics learning materials oriented to open-ended problem solving for the fifth-grade elementary school students were found to be valid, effective, and feasible. Abstrak: Pengembangan Perangkat Pembelajaran Matematika Berorientasi Open-ended Problem Solving. Kemampuan berpikir kritis dan kreatif sangat diperlukan dalam memecahkan masalah yang merupakan tujuan pokok dari pembelajaran matematika. Penyajian masalah matematika terbuka merupakan alternatif untuk menumbuhkembangkan kemampuan berpikir siswa. Agar proses pembelajaran berlangsung efektif, perlu didukung dengan perangkat pembelajaran yang relevan. Tujuan penelitian pengembangan ini adalah menghasilkan perangkat pembelajaran matematika SD berorientasi open-ended problem solving. Pengembangan prototipe perangkat pembelajaran tersebut, menggunakan four-D model (Define, Design, Develop and Disseminate. Penelitian dilakukan pada SD di kota Singaraja, Bali. Tahap define dan design menghasilkan draf perangkat pembelajaran berupa buku siswa beserta LKS, dan buku petunjuk guru beserta rencana pelaksanaan pembelajaran (RPP. Berikutnya, dilaksanakan tahap develop dan disseminate. Perangat pembelajaran matematika SD kelas V berorientasi open-ended problem solving yang dikembangkan terbukti valid, efektif, dan layak pakai.

  17. Engineering neural systems for high-level problem solving.

    Science.gov (United States)

    Sylvester, Jared; Reggia, James

    2016-07-01

    There is a long-standing, sometimes contentious debate in AI concerning the relative merits of a symbolic, top-down approach vs. a neural, bottom-up approach to engineering intelligent machine behaviors. While neurocomputational methods excel at lower-level cognitive tasks (incremental learning for pattern classification, low-level sensorimotor control, fault tolerance and processing of noisy data, etc.), they are largely non-competitive with top-down symbolic methods for tasks involving high-level cognitive problem solving (goal-directed reasoning, metacognition, planning, etc.). Here we take a step towards addressing this limitation by developing a purely neural framework named galis. Our goal in this work is to integrate top-down (non-symbolic) control of a neural network system with more traditional bottom-up neural computations. galis is based on attractor networks that can be "programmed" with temporal sequences of hand-crafted instructions that control problem solving by gating the activity retention of, communication between, and learning done by other neural networks. We demonstrate the effectiveness of this approach by showing that it can be applied successfully to solve sequential card matching problems, using both human performance and a top-down symbolic algorithm as experimental controls. Solving this kind of problem makes use of top-down attention control and the binding together of visual features in ways that are easy for symbolic AI systems but not for neural networks to achieve. Our model can not only be instructed on how to solve card matching problems successfully, but its performance also qualitatively (and sometimes quantitatively) matches the performance of both human subjects that we had perform the same task and the top-down symbolic algorithm that we used as an experimental control. We conclude that the core principles underlying the galis framework provide a promising approach to engineering purely neurocomputational systems for problem-solving

  18. Engineering neural systems for high-level problem solving.

    Science.gov (United States)

    Sylvester, Jared; Reggia, James

    2016-07-01

    There is a long-standing, sometimes contentious debate in AI concerning the relative merits of a symbolic, top-down approach vs. a neural, bottom-up approach to engineering intelligent machine behaviors. While neurocomputational methods excel at lower-level cognitive tasks (incremental learning for pattern classification, low-level sensorimotor control, fault tolerance and processing of noisy data, etc.), they are largely non-competitive with top-down symbolic methods for tasks involving high-level cognitive problem solving (goal-directed reasoning, metacognition, planning, etc.). Here we take a step towards addressing this limitation by developing a purely neural framework named galis. Our goal in this work is to integrate top-down (non-symbolic) control of a neural network system with more traditional bottom-up neural computations. galis is based on attractor networks that can be "programmed" with temporal sequences of hand-crafted instructions that control problem solving by gating the activity retention of, communication between, and learning done by other neural networks. We demonstrate the effectiveness of this approach by showing that it can be applied successfully to solve sequential card matching problems, using both human performance and a top-down symbolic algorithm as experimental controls. Solving this kind of problem makes use of top-down attention control and the binding together of visual features in ways that are easy for symbolic AI systems but not for neural networks to achieve. Our model can not only be instructed on how to solve card matching problems successfully, but its performance also qualitatively (and sometimes quantitatively) matches the performance of both human subjects that we had perform the same task and the top-down symbolic algorithm that we used as an experimental control. We conclude that the core principles underlying the galis framework provide a promising approach to engineering purely neurocomputational systems for problem-solving

  19. Problem-solving model in radiology for medical students.

    Science.gov (United States)

    Blane, C E; Vydareny, K H; Ten Haken, J D; Calhoun, J G

    1989-05-01

    Current undergraduate medical education is criticized for not preparing physicians to be independent thinkers. The rapid development of new imaging techniques and the problem of escalating medical costs call for efficient patient management. The development of algorithms in imaging work-up of patient problems is an excellent example of problem solving or medical decision making. The senior elective in radiology at our institution incorporates this type of problem-solving session. Small groups (15-25 students) with faculty guidance discuss 5-6 common patient problems to develop an investigative plan in imaging. Algorithms are thus developed by the group, but not presented for memorization. Small changes are then made in the case history so that the students are forced to make new hypotheses and generate a modified algorithm. Correlative costs are included. Flexibility and initiative in development of patient management algorithms are stressed.

  20. A new algorithm for solving linear programming problems

    Directory of Open Access Journals (Sweden)

    Andrés Leonardo Ramírez Leal

    2012-08-01

    Full Text Available Linear programming (LP is one of the most widely-applied techniques in operations research. Many methods have been developed and several others are being proposed for solving LP problems, including the famous simplex method and interior point algorithms. This study was aimed at introducing a new method for solving LP problems. The proposed algorithm starts from an interior point and then carries out orthogonal projections using parametric straight lines to move between the interior and polyhedron frontier defining the feasible region until reaching the extreme optimal point.

  1. A Novel Approach to Solve the FMS Formation Problem

    Institute of Scientific and Technical Information of China (English)

    Liu Zhong; Zhou Yunfei; Li Peigen; Duan Zhengeheng

    2001-01-01

    We propose in this paper a genetic algorithm (GA) based approach to solve the Flexible Manufacturing System (FMS) formation problem. First, we divide the unity of machines into small groups or cells using Group Technology (GT). And an option for considering the minimization of workload variation between cells is include&. Then the implementation is done using GA. When using GA, the designer is allowed to specify the number of cells and impose lower and upper bounds on cell size. This makes the GA scheme flexible for solving the FMS formation problems.

  2. Solving Excess Water Production Problems in Productive Formation

    Directory of Open Access Journals (Sweden)

    Kozyrev Ilya

    2016-01-01

    Full Text Available One of the important developments of the Russian Federation national economy is a petroleum resource. Water shut off techniques are used in the oilfields to avoid the massive water production. We describe a technology for solving excess water production problems focusing on the new gel-based fluid which can be effectively applied for water shutoff. We study the effect of the gel-based fluid solution experimentally to show the feasibility of its treatment the in the near wellbore region to solve the excess water production problem.

  3. Doing physics with scientific notebook a problem solving approach

    CERN Document Server

    Gallant, Joseph

    2012-01-01

    The goal of this book is to teach undergraduate students how to use Scientific Notebook (SNB) to solve physics problems. SNB software combines word processing and mathematics in standard notation with the power of symbolic computation. As its name implies, SNB can be used as a notebook in which students set up a math or science problem, write and solve equations, and analyze and discuss their results. Written by a physics teacher with over 20 years experience, this text includes topics that have educational value, fit within the typical physics curriculum, and show the benefits of using SNB.

  4. A Parallel Processing Algorithms for Solving Factorization and Knapsack Problems

    Directory of Open Access Journals (Sweden)

    G.Aloy Anuja Mary

    2012-03-01

    Full Text Available Quantum and Evolutionary computation are new forms of computing by their unique paradigm for designing algorithms.The Shors algorithm is based on quantum concepts such as Qubits, superposition and interference which is used to solve factoring problem that has a great impact on cryptography once the quantum computers becomes a reality. The Genetic algorithm is a computational paradigm based on natural evolution including survival of the fittest, reproduction, and mutation is used to solve NP_hard knapsack problem. These two algorithms are unique in achieving speedup in computation by their adaptation of parallelism in processing.

  5. Effects of the SOLVE Strategy on the Mathematical Problem Solving Skills of Secondary Students with Learning Disabilities

    Science.gov (United States)

    Freeman-Green, Shaqwana M.; O'Brien, Chris; Wood, Charles L.; Hitt, Sara Beth

    2015-01-01

    This study examined the effects of explicit instruction in the SOLVE Strategy on the mathematical problem solving skills of six Grade 8 students with specific learning disabilities. The SOLVE Strategy is an explicit instruction, mnemonic-based learning strategy designed to help students in solving mathematical word problems. Using a multiple probe…

  6. A framework for solving ill-structured community problems

    Science.gov (United States)

    Keller, William Cotesworth

    A multifaceted protocol for solving ill-structured community problems has been developed. It embodies the lessons learned from the past by refining and extending features of previous models from the systems thinkers, and the fields of behavioral decision making and creative problem solving. The protocol also embraces additional features needed to address the unique aspects of community decision situations. The essential elements of the protocol are participants from the community, a problem-solving process, a systems picture, a facilitator, a modified Delphi method of communications, and technical expertise. This interdisciplinary framework has been tested by a quasi experiment with a real world community problem (the high cost of electrical power on Long Island, NY). Results indicate the protocol can enable members of the community to understand a complicated, ill-structured problem and guide them to action to solve the issue. However, the framework takes time (over one year in the test case) and will be inappropriate for crises where quick action is needed.

  7. Guidance for modeling causes and effects in environmental problem solving

    Science.gov (United States)

    Armour, Carl L.; Williamson, Samuel C.

    1988-01-01

    Environmental problems are difficult to solve because their causes and effects are not easily understood. When attempts are made to analyze causes and effects, the principal challenge is organization of information into a framework that is logical, technically defensible, and easy to understand and communicate. When decisionmakers attempt to solve complex problems before an adequate cause and effect analysis is performed there are serious risks. These risks include: greater reliance on subjective reasoning, lessened chance for scoping an effective problem solving approach, impaired recognition of the need for supplemental information to attain understanding, increased chance for making unsound decisions, and lessened chance for gaining approval and financial support for a program/ Cause and effect relationships can be modeled. This type of modeling has been applied to various environmental problems, including cumulative impact assessment (Dames and Moore 1981; Meehan and Weber 1985; Williamson et al. 1987; Raley et al. 1988) and evaluation of effects of quarrying (Sheate 1986). This guidance for field users was written because of the current interest in documenting cause-effect logic as a part of ecological problem solving. Principal literature sources relating to the modeling approach are: Riggs and Inouye (1975a, b), Erickson (1981), and United States Office of Personnel Management (1986).

  8. Building problem solving environments with the arches framework

    Energy Technology Data Exchange (ETDEWEB)

    Debardeleben, Nathan [Los Alamos National Laboratory; Sass, Ron [U NORTH CAROLINA; Stanzione, Jr., Daniel [ASU; Ligon, Ill, Walter [CLEMSON UNIV

    2009-01-01

    The computational problems that scientists face are rapidly escalating in size and scope. Moreover, the computer systems used to solve these problems are becoming significantly more complex than the familiar, well-understood sequential model on their desktops. While it is possible to re-train scientists to use emerging high-performance computing (HPC) models, it is much more effective to provide them with a higher-level programming environment that has been specialized to their particular domain. By fostering interaction between HPC specialists and the domain scientists, problem-solving environments (PSEs) provide a collaborative environment. A PSE environment allows scientists to focus on expressing their computational problem while the PSE and associated tools support mapping that domain-specific problem to a high-performance computing system. This article describes Arches, an object-oriented framework for building domain-specific PSEs. The framework was designed to support a wide range of problem domains and to be extensible to support very different high-performance computing targets. To demonstrate this flexibility, two PSEs have been developed from the Arches framework to solve problem in two different domains and target very different computing platforms. The Coven PSE supports parallel applications that require large-scale parallelism found in cost-effective Beowulf clusters. In contrast, RCADE targets FPGA-based reconfigurable computing and was originally designed to aid NASA Earth scientists studying satellite instrument data.

  9. Solving the hard problem of Bertrand's paradox

    Energy Technology Data Exchange (ETDEWEB)

    Aerts, Diederik, E-mail: diraerts@vub.ac.be [Center Leo Apostel for Interdisciplinary Studies and Department of Mathematics, Brussels Free University, Brussels (Belgium); Sassoli de Bianchi, Massimiliano, E-mail: autoricerca@gmail.com [Laboratorio di Autoricerca di Base, Lugano (Switzerland)

    2014-08-15

    Bertrand's paradox is a famous problem of probability theory, pointing to a possible inconsistency in Laplace's principle of insufficient reason. In this article, we show that Bertrand's paradox contains two different problems: an “easy” problem and a “hard” problem. The easy problem can be solved by formulating Bertrand's question in sufficiently precise terms, so allowing for a non-ambiguous modelization of the entity subjected to the randomization. We then show that once the easy problem is settled, also the hard problem becomes solvable, provided Laplace's principle of insufficient reason is applied not to the outcomes of the experiment, but to the different possible “ways of selecting” an interaction between the entity under investigation and that producing the randomization. This consists in evaluating a huge average over all possible “ways of selecting” an interaction, which we call a universal average. Following a strategy similar to that used in the definition of the Wiener measure, we calculate such universal average and therefore solve the hard problem of Bertrand's paradox. The link between Bertrand's problem of probability theory and the measurement problem of quantum mechanics is also briefly discussed.

  10. Introducing the Harmonic Mean Solving a Tourist’s Problem

    Directory of Open Access Journals (Sweden)

    Anna Bossi

    2015-06-01

    Full Text Available This exercise can be given to a group of students with basic knowledge of mathematics and physics at the beginning of a lesson. We can imagine that there will be some students that will solve the exercise using the “common sense” solution recalling basic notions of physics and some students that will solve the exercise recalling basic notion of physics and computing a mean velocity using the arithmetic mean, the most common mean. At the end of the exercise, the teacher will compare the two solutions and will present the harmonic mean as the fastest solution for the students that solved the problem using the “common sense” solution and as the correct mean to be used for the students that solved the exercise computing a mean velocity

  11. Comparison of Problem Solving from Engineering Design to Software Design

    DEFF Research Database (Denmark)

    Ahmed-Kristensen, Saeema; Babar, Muhammad Ali

    2012-01-01

    Observational studies of engineering design activities can inform the research community on the problem solving models that are employed by professional engineers. Design is defined as an ill-defined problem which includes both engineering design and software design, hence understanding problem...... solving models from other design domains is of interest to the engineering design community. For this paper an observational study of two software design sessions performed for the workshop on “Studying professional Software Design” is compared to analysis from engineering design. These findings provide...... useful insights of how software designers move from a problem domain to a solution domain and the commonalities between software designers’ and engineering designers’ design activities. The software designers were found to move quickly to a detailed design phase, employ co-.evolution and adopt...

  12. Solving Quantum Ground-State Problems with Nuclear Magnetic Resonance

    CERN Document Server

    Li, Zhaokai; Chen, Hongwei; Lu, Dawei; Whitfield, James D; Peng, Xinhua; Aspuru-Guzik, Alán; Du, Jiangfeng

    2011-01-01

    Quantum ground-state problems are computationally hard problems; for general many-body Hamiltonians, there is no classical or quantum algorithm known to be able to solve them efficiently. Nevertheless, if a trial wavefunction approximating the ground state is available, as often happens for many problems in physics and chemistry, a quantum computer could employ this trial wavefunction to project the ground state by means of the phase estimation algorithm (PEA). We performed an experimental realization of this idea by implementing a variational-wavefunction approach to solve the ground-state problem of the Heisenberg spin model with an NMR quantum simulator. Our iterative phase estimation procedure yields a high accuracy for the eigenenergies (to the 10^-5 decimal digit). The ground-state fidelity was distilled to be more than 80%, and the singlet-to-triplet switching near the critical field is reliably captured. This result shows that quantum simulators can better leverage classical trial wavefunctions than c...

  13. Ant Colony Search Algorithm for Solving Unit Commitment Problem

    Directory of Open Access Journals (Sweden)

    M.Surya Kalavathi

    2013-07-01

    Full Text Available In this paper Ant Colony Search Algorithm is proposed to solve thermal unit commitment problem. Ant colony search (ACS studies are inspired from the behavior of real ant colonies that are used to solve function or combinatorial optimization problems. In the ACSA a set of cooperating agents called ants cooperates to find good solution of unit commitment problem of thermal units. The UC problem is to determine a minimal cost turn-on and turn-off schedule of a set of electrical power generating units to meet a load demand while satisfying a set of operational constraints. This proposed approach is a tested on 10 unit power system and compared to conventional methods.

  14. Acquisition and performance of a problem-solving skill.

    Science.gov (United States)

    Morgan, B. B., Jr.; Alluisi, E. A.

    1971-01-01

    The acquisition of skill in the performance of a three-phase code transformation task (3P-COTRAN) was studied with 20 subjects who solved 27 3P-COTRAN problems during each of 8 successive sessions. The purpose of the study was to determine the changes in the 3P-COTRAN factor structure resulting from practice, the distribution of practice-related gains in performance over the nine measures of the five 3P-COTRAN factors, and the effects of transformation complexities on the 3P-COTRAN performance of subjects. A significant performance gain due to practice was observed, with improvements in speed continuing even when accuracy reached asymptotic levels. Transformation complexity showed no effect on early performances but the 3- and 4-element transformations were solved quicker than the 5-element transformation in the problem-solving Phase III of later skilled performances.

  15. Towards a Cooperation Knowledge Level for Collaborative Problem Solving

    OpenAIRE

    Jennings, N. R.

    1992-01-01

    The cooperation knowledge level is a new computer level specifically for multi-agent problem solvers which describes rich and explicit models of common social phenomena. A cooperation level description (called joint responsibility) is developed to describe how participants should behave during interactions in which groups of agents collaborate to solve a common problem. The utility of this model is highlighted in the real-world environment of electricity transport management in which agents h...

  16. A Lagrangean Relaxtion Based Algorithm for Solving Set Partitioning Problems

    OpenAIRE

    Krieken, M.G.C. van; Fleuren, H.A.; Peeters, M.J.P.

    2004-01-01

    In this paper we discuss a solver that is developed to solve set partitioning problems.The methods used include problem reduction techniques, lagrangean relaxation and primal and dual heuristics.The optimal solution is found using a branch and bound approach.In this paper we discuss these techniques.Furthermore, we present the results of several computational experiments and compare the performance of our solver with the well-known mathematical optimization solver Cplex.

  17. Monte Carlo method for solving a parabolic problem

    Directory of Open Access Journals (Sweden)

    Tian Yi

    2016-01-01

    Full Text Available In this paper, we present a numerical method based on random sampling for a parabolic problem. This method combines use of the Crank-Nicolson method and Monte Carlo method. In the numerical algorithm, we first discretize governing equations by Crank-Nicolson method, and obtain a large sparse system of linear algebraic equations, then use Monte Carlo method to solve the linear algebraic equations. To illustrate the usefulness of this technique, we apply it to some test problems.

  18. Modified Filled Function to Solve NonlinearProgramming Problem

    Institute of Scientific and Technical Information of China (English)

    2015-01-01

    Filled function method is an approach to find the global minimum of nonlinear functions. Many Problems, such as computing,communication control, and management, in real applications naturally result in global optimization formulations in a form ofnonlinear global integer programming. This paper gives a modified filled function method to solve the nonlinear global integerprogramming problem. The properties of the proposed modified filled function are also discussed in this paper. The results ofpreliminary numerical experiments are also reported.

  19. Solving the Quadratic Assignment Problem by a Hybrid Algorithm

    Directory of Open Access Journals (Sweden)

    Aldy Gunawan

    2011-01-01

    Full Text Available This paper presents a hybrid algorithm to solve the Quadratic Assignment Problem (QAP. The proposed algorithm involves using the Greedy Randomized Adaptive Search Procedure (GRASP to obtain an initial solution, and then using a combined Simulated Annealing (SA and Tabu Search (TS algorithm to improve the solution. Experimental results  indicate that the hybrid algorithm is able to obtain good quality solutions for QAPLIB test problems within reasonable computation time.

  20. Solve the partitioning problem by sticker model in DNA computing

    Institute of Scientific and Technical Information of China (English)

    QU Huiqin; LU Mingming; ZHU Hong

    2004-01-01

    The aim of this work is to solve the partitioning problem, the most canonical NP-complete problem containing numerical parameters, within the sticker model of DNA computing. We firstly design a parallel program for addition, and then give a program to calculate the subset sums of a set. At last, a program for partitioning is given, which contains the former programs. Furthermore, the correctness of each program is proved in this paper.

  1. A new method of solving the coefficient inverse problem

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    This paper is concerned with the new method for solving the coefficient inverse problem in the reproducing kernel space. It is different from the previous studies. This method gives accurate results and shows that it is valid by the numerical example.

  2. Batik Making as Creative Problem Solving: A Naturalistic Inquiry.

    Science.gov (United States)

    Bollen, Sharon Kesterson

    This paper introduces an artistic model of planning and problem solving. The model is based on a case study of processes engaged in by a college art student during the course of producing a senior thesis in batik (a wax-resist fabric dyeing process). Based on the premise that knowledge of the creative process is essential to understanding the…

  3. Team Self-Assessment: Problem Solving for Small Workgroups.

    Science.gov (United States)

    LoBue, Robert

    2002-01-01

    Describes team self-assessment, a task force approach involving frontline workers/supervisors in solving problems or improving performance. Provides examples and discusses its theoretical bases: control self-assessment, Belbin's team roles research, and the team climate inventory. (Contains 23 references.) (SK)

  4. Robotic Toys as a Catalyst for Mathematical Problem Solving

    Science.gov (United States)

    Highfield, Kate

    2010-01-01

    Robotic toys present unique opportunities for teachers of young children to integrate mathematics learning with engaging problem-solving tasks. This article describes a series of tasks using Bee-bots and Pro-bots, developed as part a larger project examining young children's use of robotic toys as tools in developing mathematical and metacognitive…

  5. The Domino Effect: Problem Solving with Common Table Games.

    Science.gov (United States)

    Reimer, Wilbert

    1989-01-01

    Domino games are used to illustrate problem-solving techniques in a college principles-of-mathematics course. Students develop tables and use Pascal's triangle to find the total number of pips and the sum of numbers on the pieces. (DC)

  6. Organizational Patterns in Problem Solving Among Mayan Fathers and Children

    Science.gov (United States)

    Chavajay, Pablo

    2008-01-01

    This study examined the social organization of Guatemalan Mayan fathers' engagement with school-age children in a group problem-solving task. Twenty-nine groups of Mayan fathers varying in extent of Western schooling and 3 related school-age children (ages 6-12 years) constructed a puzzle together. Groups with fathers with 0 to 3 grades more often…

  7. Thinking Can Cause Forgetting: Memory Dynamics in Creative Problem Solving

    Science.gov (United States)

    Storm, Benjamin C.; Angello, Genna; Bjork, Elizabeth Ligon

    2011-01-01

    Research on retrieval-induced forgetting has shown that retrieval can cause the forgetting of related or competing items in memory (Anderson, Bjork, & Bjork, 1994). In the present research, we examined whether an analogous phenomenon occurs in the context of creative problem solving. Using the Remote Associates Test (RAT; Mednick, 1962), we found…

  8. Adventures in Exercise Physiology: Enhancing Problem Solving and Assessment

    Science.gov (United States)

    FitzPatrick, Kathleen A.

    2004-01-01

    I altered the format of an exercise physiology course from traditional lecture to emphasizing daily reading quizzes and group problem-solving activities. I used the SALGains evaluation to compare the two approaches and saw significant improvements in the evaluation ratings of students who were taught using the new format. Narrative responses…

  9. Designing Teaching Materials for Learning Problem Solving in Technology Education

    NARCIS (Netherlands)

    Doornekamp, B.G.

    2001-01-01

    In the process of designing teaching materials for learning problem solving in technology education, domain-specific design specifications are considered important elements to raise learning outcomes with these materials. Two domain-specific design specifications were drawn up using a four-step proc

  10. MAUVE: A New Strategy for Solving and Grading Physics Problems

    Science.gov (United States)

    Hill, Nicole Breanne

    2016-01-01

    MAUVE (magnitude, answer, units, variables, and equations) is a framework and rubric to help students and teachers through the process of clearly solving and assessing solutions to introductory physics problems. Success in introductory physics often derives from an understanding of units, a command over dimensional analysis, and good bookkeeping.…

  11. Divulging Intertextual Processes in the Problem-Solving of Hypermedia.

    Science.gov (United States)

    Yang, Shu Ching

    1999-01-01

    Investigates the patterns of intertextual linking as learners engaged in problem solving when using hypermedia. Learners were observed in their synthesized discourse in six cases using Perseus, a Greek culture database. Discusses themes that emerged from learners' on-line protocols and interactions and implications for instructional designers.…

  12. Reversible Reasoning and the Working Backwards Problem Solving Strategy

    Science.gov (United States)

    Ramful, Ajay

    2015-01-01

    Making sense of mathematical concepts and solving mathematical problems may demand different forms of reasoning. These could be either domain-based, such as algebraic, geometric or statistical reasoning, while others are more general such as inductive/deductive reasoning. This article aims at giving visibility to a particular form of reasoning…

  13. Training Insight Problem Solving through Focus on Barriers and Assumptions

    Science.gov (United States)

    Walinga, Jennifer; Cunningham, J. Barton; MacGregor, James N.

    2011-01-01

    Recent research has reported successful training interventions that improve insight problem solving. In some ways this is surprising, because the processes involved in insight solutions are often assumed to be unconscious, whereas the training interventions focus on conscious cognitive strategies. We propose one mechanism that may help to explain…

  14. Problem Solving Abilities and Perceptions in Alternative Certification Mathematics Teachers

    Science.gov (United States)

    Evans, Brian R.

    2012-01-01

    It is important for teacher educators to understand new alternative certification middle and high school teachers' mathematical problem solving abilities and perceptions. Teachers in an alternative certification program in New York were enrolled in a proof-based algebra course. At the beginning and end of a semester participants were given a…

  15. Grading Homework to Emphasize Problem-Solving Process Skills

    Science.gov (United States)

    Harper, Kathleen A.

    2012-01-01

    This article describes a grading approach that encourages students to employ particular problem-solving skills. Some strengths of this method, called "process-based grading," are that it is easy to implement, requires minimal time to grade, and can be used in conjunction with either an online homework delivery system or paper-based homework.

  16. A Collaborative Problem-Solving Process through Environmental Field Studies

    Science.gov (United States)

    Kim, Mijung; Tan, Hoe Teck

    2013-01-01

    This study explored and documented students' responses to opportunities for collective knowledge building and collaboration in a problem-solving process within complex environmental challenges and pressing issues with various dimensions of knowledge and skills. Middle-school students ("n" =?16; age 14) and high-school students…

  17. Knowledge based method for solving complexity in design problems

    NARCIS (Netherlands)

    Vermeulen, B.

    2007-01-01

    The process of design aircraft systems is becoming more and more complex, due to an increasing amount of requirements. Moreover, the knowledge on how to solve these complex design problems becomes less readily available, because of a decrease in availability of intellectual resources and reduced kno

  18. Ontological Support in Modeling Learners' Problem Solving Process

    Science.gov (United States)

    Lu, Chun-Hung; Wu, Chia-Wei; Wu, Shih-Hung; Chiou, Guey-Fa; Hsu, Wen-Lian

    2005-01-01

    This paper presents a new model for simulating procedural knowledge in the problem solving process with our ontological system, InfoMap. The method divides procedural knowledge into two parts: process control and action performer. By adopting InfoMap, we hope to help teachers construct curricula (declarative knowledge) and teaching strategies by…

  19. What Do Employers Pay for Employees' Complex Problem Solving Skills?

    Science.gov (United States)

    Ederer, Peer; Nedelkoska, Ljubica; Patt, Alexander; Castellazzi, Silvia

    2015-01-01

    We estimate the market value that employers assign to the complex problem solving (CPS) skills of their employees, using individual-level Mincer-style wage regressions. For the purpose of the study, we collected new and unique data using psychometric measures of CPS and an extensive background questionnaire on employees' personal and work history.…

  20. Learning Styles and Problem Solving Skills of Turkish Prospective Teachers

    Science.gov (United States)

    Gencel, Ilke Evin

    2015-01-01

    Global changes in educational discourse have an impact on educational systems, so teacher education programs need to be transformed to better train teachers and to contribute to their professional development. In this process learning styles and problem solving skills should be considered as individual differences which have an impact in…

  1. Self-Assessment of Problem Solving Disposition in Medical Students

    Directory of Open Access Journals (Sweden)

    Silvia Lizett Olivares-Olivares

    2014-01-01

    Full Text Available Medical schools are committed to both students and society to develop capabilities required to succeed in health care environments. Present diagnosis and treatment methods become obsolete faster, demanding that medical schools incorporate competency-based education to keep pace with future demands. This study was conducted to assess the problem solving disposition of medical students. A three-subcategory model of the skill is proposed. The instrument was validated on content by a group of 17 experts in medical education and applied to 135 registered students on the sixth year of the M.D. Physician Surgeon program at a private medical school. Cronbach’s alpha indicated an internal consistency of 0.751. The findings suggest that selected items have both homogeneity and validity. The factor analysis resulted in components that were associated with three problem-solving subcategories. The students’ perceptions are higher in the pattern recognition and application of general strategies for problem solving subcategories of the Problem solving disposition model.

  2. A Unified Approach for Solving Nonlinear Regular Perturbation Problems

    Science.gov (United States)

    Khuri, S. A.

    2008-01-01

    This article describes a simple alternative unified method of solving nonlinear regular perturbation problems. The procedure is based upon the manipulation of Taylor's approximation for the expansion of the nonlinear term in the perturbed equation. An essential feature of this technique is the relative simplicity used and the associated unified…

  3. The Nature of Gestures' Beneficial Role in Spatial Problem Solving

    Science.gov (United States)

    Chu, Mingyuan; Kita, Sotaro

    2011-01-01

    Co-thought gestures are hand movements produced in silent, noncommunicative, problem-solving situations. In the study, we investigated whether and how such gestures enhance performance in spatial visualization tasks such as a mental rotation task and a paper folding task. We found that participants gestured more often when they had difficulties…

  4. A Study of Subordinate Skills in Science Problem Solving.

    Science.gov (United States)

    Wiegand, Virginia Keister

    A Piagetan task (transfer task) and a complex science task (final task) were used to compare the maturational view of Piaget with that of cumulative learning with respect to solving a science problem. A learning hierarchy of subordinate capabilities was constructed for the complex science task. Three phases of the experiment were: (1) pretest on…

  5. Representational scripting to support students’ online problem-solving performance

    NARCIS (Netherlands)

    Slof, Bert; Erkens, Gijsbert; Kirschner, Paul A.

    2011-01-01

    Slof, B., Erkens, G., & Kirschner, P. A. (2010, July). Representational scripting to support students’ online problem-solving performance. In K. Gomez, L. Lyons, & J. Radinsky (Eds.), Learning in the Disciplines: Proceedings of the 9th International Conference of the Learning Sciences (ICLS 2010) Vo

  6. Analysis of Errors Made by Students Solving Genetics Problems.

    Science.gov (United States)

    Costello, Sandra Judith

    The purpose of this study was to analyze the errors made by students solving genetics problems. A sample of 10 non-science undergraduate students was obtained from a private college in Northern New Jersey. The results support prior research in the area of genetics education and show that a weak understanding of the relationship of meiosis to…

  7. A Set-Oriented Perspective on Solving Counting Problems

    Science.gov (United States)

    Lockwood, Elise

    2014-01-01

    In this article, I present the notion of a set-oriented perspective for solving counting problems that emerged during task-based interviews with postsecondary students. Framing the findings within Harel's "ways of thinking", I argue that students may benefit from this perspective, in which they view attending to sets of outcomes as…

  8. Problem Solving Teams in a Total Quality Management Environment.

    Science.gov (United States)

    Towler, Constance F.

    1993-01-01

    Outlines the problem-solving team training process used at Harvard University (Massachusetts), including the size and formation of teams, roles, and time commitment. Components of the process are explained, including introduction to Total Quality Management (TQM), customer satisfaction, meeting management, Parker Team Player Survey, interactive…

  9. Why Teach Cooperative Problem-Solving in Adult Education?

    Science.gov (United States)

    Walker, Ann

    2013-01-01

    This article explores aspects of the theory and practice of cooperative problem solving in education from the perspective of community-based adult learning. It describes how society can benefit from using collaborative and questioning approaches as a positive alternative to more confrontational methods of resolving differences and how collective…

  10. On the development of knowledge during problem solving.

    NARCIS (Netherlands)

    R. Hamel; J.J. Elshout

    2000-01-01

    A person might solve a problem progressing very quickly after an initial period of very little progress, as if new insight was suddenly gained, without that person possessing anything that merits being called insight. This is demonstrated in a series of studies as an extension of the experiments of

  11. Teaching Community Psychology: A Problem-Solving Approach.

    Science.gov (United States)

    Visser, Maretha; Cleaver, Glenda

    1999-01-01

    Describes a psychology course that implemented a problem-solving approach to provide students with a hands-on experience of community psychology in a multicultural South Africa. Traces the students' reactions to the course from their initial enthusiasm and emergence of frustration to their eventual understanding of other cultures. (CMK)

  12. Observations of Young Children Solving Problems with Computers and Robots.

    Science.gov (United States)

    Forman, George

    1986-01-01

    Children, aged three to seven years, were observed in spontaneous and structured situations using computer graphics and robots. It was found that computer graphics can enhance reflectivity and that robots present a rich problem-solving environment for pairs of children as they try to coordinate commands to one robot. (Author/BB)

  13. Towards Efficient Measurement of Metacognition in Mathematical Problem Solving

    Science.gov (United States)

    Jacobse, Annemieke E.; Harskamp, Egbert G.

    2012-01-01

    Metacognitive monitoring and regulation play an essential role in mathematical problem solving. Therefore, it is important for researchers and practitioners to assess students' metacognition. One proven valid, but time consuming, method to assess metacognition is by using think-aloud protocols. Although valuable, practical drawbacks of this method…

  14. Play and Divergent Problem Solving: Evidence Supporting a Reciprocal Relationship.

    Science.gov (United States)

    Wyver, Shirley R.; Spence, Susan H.

    1999-01-01

    Three studies examined the relationship between specific forms of preschoolers' social and pretend play and divergent/convergent problem solving. Naturalistic and experimental designs were used to provide clearer account of relationship and to challenge assumption of single direction of influence. Results support complex reciprocal causality model…

  15. Extending Fibonacci Numbers to Negative Subscripts through Problem Solving

    Science.gov (United States)

    Abramovich, Sergei

    2010-01-01

    This classroom note shows how Fibonacci numbers with negative subscripts emerge from a problem-solving context enhanced by the use of an electronic spreadsheet. It reflects the author's work with prospective K-12 teachers in a number of mathematics content courses. (Contains 4 figures.)

  16. Observation Can Be as Effective as Action in Problem Solving

    Science.gov (United States)

    Osman, Magda

    2008-01-01

    This study discusses findings that replicate and extend the original work of Burns and Vollmeyer (2002), which showed that performance in problem-solving tasks was more accurate when people were engaged in a non-specific goal than in a specific goal. The main innovation here was to examine the goal specificity effect under both observation-based…

  17. Solving scheduling tournament problems using a new version of CLONALG

    Science.gov (United States)

    Pérez-Cáceres, Leslie; Riff, María Cristina

    2015-01-01

    The travelling tournament problem (TTP) is an important and well-known problem within the collective sports research community. The problem is NP-hard which makes difficult finding quality solution in short amount of time. Recently a new kind of TTP has been proposed 'The Relaxed Travelling Tournament Problem'. This version of the problem allows teams to have some days off during the tournament. In this paper, we propose an immune algorithm that is able to solve both problem versions. The algorithm uses moves which are based on the team home/away patterns. One of these moves has been specially designed for the relaxed travel tournament instances. We have tested the algorithm using well-known problem benchmarks and the results obtained are very encouraging.

  18. A heuristic method for solving triangle packing problem

    Institute of Scientific and Technical Information of China (English)

    CHEN Chuan-bo; HE Da-hua

    2005-01-01

    Given a set of triangles and a rectangle container, the triangle packing problem is to determine ifthese triangles can be placed into the container without overlapping. Triangle packing problem is a special case of polygon packing problem and also NP-hard, so it is unlikely that an efficient and exact algorithm can be developed to solve this problem. In this paper, a new concept of rigid placement is proposed, based on which a discrete solution space called rigid solution space is constructed. Each solution in the rigid solution space can be built by continuously applying legal rigid placements one by one until all the triangles are placed into the rectangle container without overlapping. The proposed Least-Destruction-First (LDF) strategy determines which rigid placement has the privilege to go into the rectangle container. Based on this, a heuristic algorithm is proposed to solve the problem.Combining Least-Destruction-First strategy with backtracking, the corresponding backtracking algorithm is proposed. Computational results show that our proposed algorithms are efficient and robust. With slight modification, these techniques can be conveniently used for solving polygon packing problem.

  19. Information- problem solving: A review of problems students encounter and instructional solutions

    NARCIS (Netherlands)

    Walraven, Amber; Brand-Gruwel, Saskia; Boshuizen, Els

    2009-01-01

    Walraven, A., Brand-Gruwel, S., & Boshuizen, H.P.A. (2008). Information- problem solving: A review of problems students encounter and instructional solutions. Computers in Human Behavior, 24 (3), 623-648.

  20. Insight and analysis problem solving in microbes to machines.

    Science.gov (United States)

    Clark, Kevin B

    2015-11-01

    A key feature for obtaining solutions to difficult problems, insight is oftentimes vaguely regarded as a special discontinuous intellectual process and/or a cognitive restructuring of problem representation or goal approach. However, this nearly century-old state of art devised by the Gestalt tradition to explain the non-analytical or non-trial-and-error, goal-seeking aptitude of primate mentality tends to neglect problem-solving capabilities of lower animal phyla, Kingdoms other than Animalia, and advancing smart computational technologies built from biological, artificial, and composite media. Attempting to provide an inclusive, precise definition of insight, two major criteria of insight, discontinuous processing and problem restructuring, are here reframed using terminology and statistical mechanical properties of computational complexity classes. Discontinuous processing becomes abrupt state transitions in algorithmic/heuristic outcomes or in types of algorithms/heuristics executed by agents using classical and/or quantum computational models. And problem restructuring becomes combinatorial reorganization of resources, problem-type substitution, and/or exchange of computational models. With insight bounded by computational complexity, humans, ciliated protozoa, and complex technological networks, for example, show insight when restructuring time requirements, combinatorial complexity, and problem type to solve polynomial and nondeterministic polynomial decision problems. Similar effects are expected from other problem types, supporting the idea that insight might be an epiphenomenon of analytical problem solving and consequently a larger information processing framework. Thus, this computational complexity definition of insight improves the power, external and internal validity, and reliability of operational parameters with which to classify, investigate, and produce the phenomenon for computational agents ranging from microbes to man-made devices. PMID

  1. Insight and analysis problem solving in microbes to machines.

    Science.gov (United States)

    Clark, Kevin B

    2015-11-01

    A key feature for obtaining solutions to difficult problems, insight is oftentimes vaguely regarded as a special discontinuous intellectual process and/or a cognitive restructuring of problem representation or goal approach. However, this nearly century-old state of art devised by the Gestalt tradition to explain the non-analytical or non-trial-and-error, goal-seeking aptitude of primate mentality tends to neglect problem-solving capabilities of lower animal phyla, Kingdoms other than Animalia, and advancing smart computational technologies built from biological, artificial, and composite media. Attempting to provide an inclusive, precise definition of insight, two major criteria of insight, discontinuous processing and problem restructuring, are here reframed using terminology and statistical mechanical properties of computational complexity classes. Discontinuous processing becomes abrupt state transitions in algorithmic/heuristic outcomes or in types of algorithms/heuristics executed by agents using classical and/or quantum computational models. And problem restructuring becomes combinatorial reorganization of resources, problem-type substitution, and/or exchange of computational models. With insight bounded by computational complexity, humans, ciliated protozoa, and complex technological networks, for example, show insight when restructuring time requirements, combinatorial complexity, and problem type to solve polynomial and nondeterministic polynomial decision problems. Similar effects are expected from other problem types, supporting the idea that insight might be an epiphenomenon of analytical problem solving and consequently a larger information processing framework. Thus, this computational complexity definition of insight improves the power, external and internal validity, and reliability of operational parameters with which to classify, investigate, and produce the phenomenon for computational agents ranging from microbes to man-made devices.

  2. Novel Problem Solving - The NASA Solution Mechanism Guide

    Science.gov (United States)

    Keeton, Kathryn E.; Richard, Elizabeth E.; Davis, Jeffrey R.

    2014-01-01

    Over the past five years, the Human Health and Performance (HH&P) Directorate at the NASA Johnson Space Center (JSC) has conducted a number of pilot and ongoing projects in collaboration and open innovation. These projects involved the use of novel open innovation competitions that sought solutions from "the crowd", non-traditional problem solvers. The projects expanded to include virtual collaboration centers such as the NASA Human Health and Performance Center (NHHPC) and more recently a collaborative research project between NASA and the National Science Foundation (NSF). These novel problem-solving tools produced effective results and the HH&P wanted to capture the knowledge from these new tools, to teach the results to the directorate, and to implement new project management tools and coursework. The need to capture and teach the results of these novel problem solving tools, the HH&P decided to create a web-based tool to capture best practices and case studies, to teach novice users how to use new problem solving tools and to change project management training/. This web-based tool was developed with a small, multi-disciplinary group and named the Solution Mechanism Guide (SMG). An alpha version was developed that was tested against several sessions of user groups to get feedback on the SMG and determine a future course for development. The feedback was very positive and the HH&P decided to move to the beta-phase of development. To develop the web-based tool, the HH&P utilized the NASA Tournament Lab (NTL) to develop the software with TopCoder under an existing contract. In this way, the HH&P is using one new tool (the NTL and TopCoder) to develop the next generation tool, the SMG. The beta-phase of the SMG is planed for release in the spring of 2014 and results of the beta-phase testing will be available for the IAC meeting in September. The SMG is intended to disrupt the way problem solvers and project managers approach problem solving and to increase the

  3. Solving Classical Insight Problems without Aha! Experience: 9 Dot, 8 Coin, and Matchstick Arithmetic Problems

    Science.gov (United States)

    Danek, Amory H.; Wiley, Jennifer; Öllinger, Michael

    2016-01-01

    Insightful problem solving is a vital part of human thinking, yet very difficult to grasp. Traditionally, insight has been investigated by using a set of established "insight tasks," assuming that insight has taken place if these problems are solved. Instead of assuming that insight takes place during every solution of the 9 Dot, 8 Coin,…

  4. High school students' problem-solving performance on realistic genetics problems

    Science.gov (United States)

    Slack, Susie Johnston; Stewart, Jim

    Problem solving is recognized as a valuable educational experience in science. Thus genetics, essentially a problem-solving science included in almost all high school biology courses, offers a fruitful area for studying student problem-solving performance. The research reported in this article describes the performance of 30 high school students solving 119 problems generated by the computer program GENETICS CONSTRUCTION KIT (Jungck & Calley, 1985). Solving GCK problems requires students to plan experiments, generate and interpret data, and reason from effects (phenotypic data) to causes (genotypic data). Research data consisted of transcribed audiotapes of students thinking aloud as they solved problems and computer printouts of initial data and sequence of crosses. Transcripts were analyzed for common actions and comments made during the problem-solving process in terms of initial data redescription and interpretation, hypothesis generation, cross data redescription and interpretation, solution synthesis, and solution confirmation. This study was done in an effort to add to the understanding of student problem-solving strategies and to develop a model of student performance - a model that when combined with a model of expert performance may serve as a basis for improving genetics instruction.

  5. Exploring the role of conceptual scaffolding in solving synthesis problems

    Directory of Open Access Journals (Sweden)

    Lin Ding1,*

    2011-10-01

    Full Text Available It is well documented that when solving problems experts first search for underlying concepts while students tend to look for equations and previously worked examples. The overwhelming majority of end-of-chapter (EOC problems in most introductory physics textbooks contain only material and examples discussed in a single chapter, rarely requiring a solver to conduct a general search for underlying concepts. Hypothesizing that complete reliance on EOC problems trains students to rely on a nonexpert approach, we designed and implemented “synthesis” problems, each combining two major concepts that are broadly separated in the teaching timeline. To provide students with guided conceptual scaffolding, we encapsulated each synthesis problem into a sequence with two preceding conceptually based multiple-choice questions. Each question contained one of the major concepts covered in the subsequent synthesis problem. Results from a small-scale interview study and two large-scale written tests showed that the scaffolding encouraged students to search for and apply appropriate fundamental principles in solving synthesis problems, and that repeated training using scaffolded synthesis problems also helped students to make cross-topic transfers.

  6. The Strength of the Strongest Ties in Collaborative Problem Solving

    DEFF Research Database (Denmark)

    de Montjoye, Yves-Alexandre; Stopczynski, Arkadiusz; Shmueli, Erez;

    2014-01-01

    Complex problem solving in science, engineering, and business has become a highly collaborative endeavor. Teams of scientists or engineers collaborate on projects using their social networks to gather new ideas and feedback. Here we bridge the literature on team performance and information networks...... by studying teams' problem solving abilities as a function of both their within-team networks and their members' extended networks. We show that, while an assigned team's performance is strongly correlated with its networks of expressive and instrumental ties, only the strongest ties in both networks have......-significant in the statistical analysis. Our results have consequences for the organization of teams of scientists, engineers, and other knowledge workers tackling today's most complex problems....

  7. When Does Changing Representation Improve Problem-Solving Performance?

    Science.gov (United States)

    Holte, Robert; Zimmer, Robert; MacDonald, Alan

    1992-01-01

    The aim of changing representation is the improvement of problem-solving efficiency. For the most widely studied family of methods of change of representation it is shown that the value of a single parameter, called the expulsion factor, is critical in determining (1) whether the change of representation will improve or degrade problem-solving efficiency and (2) whether the solutions produced using the change of representation will or will not be exponentially longer than the shortest solution. A method of computing the expansion factor for a given change of representation is sketched in general and described in detail for homomorphic changes of representation. The results are illustrated with homomorphic decompositions of the Towers of Hanoi problem.

  8. Solving SAT and Hamiltonian Cycle Problem Using Asynchronous P Systems

    Science.gov (United States)

    Tagawa, Hirofumi; Fujiwara, Akihiro

    In the present paper, we consider fully asynchronous parallelism in membrane computing, and propose two asynchronous P systems for the satisfiability (SAT) and Hamiltonian cycle problem. We first propose an asynchronous P system that solves SAT with n variables and m clauses, and show that the proposed P system computes SAT in O(mn2n) sequential steps or O(mn) parallel steps using O(mn) kinds of objects. We next propose an asynchronous P system that solves the Hamiltonian cycle problem with n nodes, and show that the proposed P system computes the problem in O(n!) sequential steps or O(n2) parallel steps using O(n2) kinds of objects.

  9. Solving Vertex Cover Problem Using DNA Tile Assembly Model

    Directory of Open Access Journals (Sweden)

    Zhihua Chen

    2013-01-01

    Full Text Available DNA tile assembly models are a class of mathematically distributed and parallel biocomputing models in DNA tiles. In previous works, tile assembly models have been proved be Turing-universal; that is, the system can do what Turing machine can do. In this paper, we use tile systems to solve computational hard problem. Mathematically, we construct three tile subsystems, which can be combined together to solve vertex cover problem. As a result, each of the proposed tile subsystems consists of Θ(1 types of tiles, and the assembly process is executed in a parallel way (like DNA’s biological function in cells; thus the systems can generate the solution of the problem in linear time with respect to the size of the graph.

  10. USING GENETIC ALGORTIHM TO SOLVE STEINER MINIMUM SPANNING TREE PROBLEM

    Directory of Open Access Journals (Sweden)

    Öznur İŞÇİ

    2006-03-01

    Full Text Available Genetic algorithms (GA are a stochastic research methods, and they produce solutions that are close to optimum or near optimum. In addition to GA's successful application to traveling salesman problem, square designation, allocation, workshop table, preparation of lesson/examination schedules, planning of communication networks, assembling line balanced, minimum spanning tree type many combinatorial optimization problems it would be applicable to make the best comparison in optimization. In this study a Java program is developed to solve Steiner minimum spanning tree problem by genetic algorithm and its performance is examined. According to the tests carried out on the problems that were given before in the literature, results that are close to optimum are obtained in by GA approach that is recommended in this study. For the predetermined points in the study, length and gain are calculated for Steiner minimum spanning tree problem and minimum spanning tree problem.

  11. Solving constrained traveling salesman problems by genetic algorithms

    Institute of Scientific and Technical Information of China (English)

    WU Chunguo; LIANG Yanchun; LEE Heowpueh; LU Chun; LIN Wuzhong

    2004-01-01

    Three kinds of constrained traveling salesman problems (TSP) arising from application problems, namely the open route TSP, the end-fixed TSP, and the path-constrained TSP, are proposed. The corresponding approaches based on modified genetic algorithms (GA) for solving these constrained TSPs are presented. Numerical experiments demonstrate that the algorithm for the open route TSP shows its advantages when the open route is required, the algorithm for the end-fixed TSP can deal with route optimization with constraint of fixed ends effectively, and the algorithm for the path-constraint could benefit the traffic problems where some cities cannot be visited from each other.

  12. Solving Open Job-Shop Scheduling Problems by SAT Encoding

    Science.gov (United States)

    Koshimura, Miyuki; Nabeshima, Hidetomo; Fujita, Hiroshi; Hasegawa, Ryuzo

    This paper tries to solve open Job-Shop Scheduling Problems (JSSP) by translating them into Boolean Satisfiability Testing Problems (SAT). The encoding method is essentially the same as the one proposed by Crawford and Baker. The open problems are ABZ8, ABZ9, YN1, YN2, YN3, and YN4. We proved that the best known upper bounds 678 of ABZ9 and 884 of YN1 are indeed optimal. We also improved the upper bound of YN2 and lower bounds of ABZ8, YN2, YN3 and YN4.

  13. Wolf Search Algorithm for Solving Optimal Reactive Power Dispatch Problem

    OpenAIRE

    Kanagasabai Lenin; B.Ravindhranath Reddy; M.Surya Kalavathi

    2015-01-01

    This paper presents a new bio-inspired heuristic optimization algorithm called the Wolf Search Algorithm (WSA) for solving the multi-objective reactive power dispatch problem. Wolf Search algorithm is a new bio – inspired heuristic algorithm which based on wolf preying behaviour. The way wolves search for food and survive by avoiding their enemies has been imitated to formulate the algorithm for solving the reactive power dispatches. And the speciality  of wolf is  possessing  both individual...

  14. Self-Monitoring Checklists for Inquiry Problem-Solving: Functional Problem-Solving Methods for Students with Intellectual Disability

    Science.gov (United States)

    Miller, Bridget; Taber-Doughty, Teresa

    2014-01-01

    Three students with mild to moderate intellectual and multiple disability, enrolled in a self-contained functional curriculum class were taught to use a self-monitoring checklist and science notebook to increase independence in inquiry problem-solving skills. Using a single-subject multiple-probe design, all students acquired inquiry…

  15. Effects of Cognitive Strategy Interventions and Cognitive Moderators on Word Problem Solving in Children at Risk for Problem Solving Difficulties

    Science.gov (United States)

    Swanson, H. Lee; Lussier, Cathy; Orosco, Michael

    2013-01-01

    This study investigated the role of strategy instruction and cognitive abilities on word problem solving accuracy in children with math difficulties (MD). Elementary school children (N = 120) with and without MD were randomly assigned to 1 of 4 conditions: general-heuristic (e.g., underline question sentence), visual-schematic presentation…

  16. Modified Block Iterative Method for Solving Convex Feasibility Problem, Equilibrium Problems and Variational Inequality Problems

    Institute of Scientific and Technical Information of China (English)

    Shi Sheng ZHANG; Chi Kin CHAN; H.W. JOSEPH LEE

    2012-01-01

    The purpose of this paper is by using the modified block iterative method to propose an algorithm for finding a common element in the intersection of the set of common fixed points of an infinite family of quasi-φ-asymptotically nonexpansive and the set of solutions to an equilibrium problem and the set of solutions to a variational inequality.Under suitable conditions some strong convergence theorems are established in 2-uniformly convex and uniformly smooth Banach spaces.As applications we utilize the results presented in the paper to solving the convex feasibility problem (CFP) and zero point problem of maximal monotone mappings in Banach spaces.The results presented in the paper improve and extend the corresponding results announced by many authors.

  17. Seventh Grade Students' Problem Solving Success Rates on Proportional Reasoning Problems

    Science.gov (United States)

    Pelen, Mustafa Serkan; Artut, Perihan Dinç

    2016-01-01

    This research was conducted to investigate 7th grade students' problem solving success rates on proportional reasoning problems and whether these success rates change with different problem types. 331 randomly selected students of grade seven participated in this study. A problem test which contains three different types of missing value (direct…

  18. Recent Advances in Solving the Protein Threading Problem

    CERN Document Server

    Andonov, Rumen; Gibrat, Jean-François; Marin, Antoine; Poirriez, Vincent; Yanev, Nikola

    2007-01-01

    The fold recognition methods are promissing tools for capturing the structure of a protein by its amino acid residues sequence but their use is still restricted by the needs of huge computational resources and suitable efficient algorithms as well. In the recent version of FROST (Fold Recognition Oriented Search Tool) package the most efficient algorithm for solving the Protein Threading Problem (PTP) is implemented due to the strong collaboration between the SYMBIOSE group in IRISA and MIG in Jouy-en-Josas. In this paper, we present the diverse components of FROST, emphasizing on the recent advances in formulating and solving new versions of the PTP and on the way of solving on a computer cluster a million of instances in a easonable time.

  19. Integral calculus problem solving: an fMRI investigation.

    Science.gov (United States)

    Krueger, Frank; Spampinato, Maria Vittoria; Pardini, Matteo; Pajevic, Sinisa; Wood, Jacqueline N; Weiss, George H; Landgraf, Steffen; Grafman, Jordan

    2008-07-16

    Only a subset of adults acquires specific advanced mathematical skills, such as integral calculus. The representation of more sophisticated mathematical concepts probably evolved from basic number systems; however its neuroanatomical basis is still unknown. Using fMRI, we investigated the neural basis of integral calculus while healthy participants were engaged in an integration verification task. Solving integrals activated a left-lateralized cortical network including the horizontal intraparietal sulcus, posterior superior parietal lobe, posterior cingulate gyrus, and dorsolateral prefrontal cortex. Our results indicate that solving of more abstract and sophisticated mathematical facts, such as calculus integrals, elicits a pattern of brain activation similar to the cortical network engaged in basic numeric comparison, quantity manipulation, and arithmetic problem solving.

  20. IMPACT OF HEURISTIC STRATEGIES ON PUPILS’ ATTITUDES TO PROBLEM SOLVING

    Directory of Open Access Journals (Sweden)

    NOVOTNÁ, Jarmila

    2015-03-01

    Full Text Available The paper is a sequel to the article (Novotná et al., 2014, where the authors present the results of a 4-month experiment whose main aim was to change pupils’ culture of problem solving by using heuristic strategies suitable for problem solving in mathematics education. (Novotná et al., 2014 focused on strategies Analogy, Guess – check – revise, Systematic experimentation, Problem reformulation, Solution drawing, Working backwards and Use of graphs of functions. This paper focuses on two other heuristic strategies convenient for improvement of pupils’ culture of problem solving: Introduction of an auxiliary element and Omitting a condition. In the first part, the strategies Guess – Check – Revise, Working backwards, Introduction of an auxiliary element and Omitting a condition are characterized in detail and illustrated by examples of their use in order to capture their characteristics. In the second part we focus on the newly introduced strategies and analyse work with them in lessons using the tools from (Novotná et al., 2014. The analysis of results of the experiment indicates that, unlike in case of the strategy Introduction of an auxiliary element, successful use of the strategy Omitting a condition requires longer teacher’s work with the pupils. The following analysis works with the strategy Systematic experimentation, which seemed to be the easiest to master in (Novotná et al., 2014; we focus on the dangers it bears when it is used by pupils. The conclusion from (Novotná et al., 2014, which showed that if pupils are introduced to an environment that supports their creativity, their attitude towards problem solving changes in a positive way already after the period of four months, is confirmed.

  1. Solving network design problems via decomposition, aggregation and approximation

    CERN Document Server

    Bärmann, Andreas

    2016-01-01

    Andreas Bärmann develops novel approaches for the solution of network design problems as they arise in various contexts of applied optimization. At the example of an optimal expansion of the German railway network until 2030, the author derives a tailor-made decomposition technique for multi-period network design problems. Next, he develops a general framework for the solution of network design problems via aggregation of the underlying graph structure. This approach is shown to save much computation time as compared to standard techniques. Finally, the author devises a modelling framework for the approximation of the robust counterpart under ellipsoidal uncertainty, an often-studied case in the literature. Each of these three approaches opens up a fascinating branch of research which promises a better theoretical understanding of the problem and an increasing range of solvable application settings at the same time. Contents Decomposition for Multi-Period Network Design Solving Network Design Problems via Ag...

  2. Tabu Search Algorithm to Solve the Intermodal Terminal Location Problem

    Directory of Open Access Journals (Sweden)

    E. Karimi∗

    2015-03-01

    Full Text Available Establishment of appropriate terminals is effective as the main gate entrance to international, national and local transportation network for economic performance, traffic safety and reduction of environmental pollution. This paper focuses on intermodal terminal location problem. The main objective of this problem is to determine which of the terminals of a set of candidate terminals should be opened such that the total cost be minimized. In this problem, demands of customers will ship directly (without the use of terminals between the origin and destination of customers, or intermodaly (by using two terminals or even by combination of both methods. Since this problem is NP-hard, metaheuristics algorithms such as tabu search (TS is used to solve it. The algorithm is compared with greedy randomized adaptive search procedure (GRASP on instance of this problem. Results show the efficiency of TS in comparision with GRASP.

  3. Games that Enlist Collective Intelligence to Solve Complex Scientific Problems.

    Science.gov (United States)

    Burnett, Stephen; Furlong, Michelle; Melvin, Paul Guy; Singiser, Richard

    2016-03-01

    There is great value in employing the collective problem-solving power of large groups of people. Technological advances have allowed computer games to be utilized by a diverse population to solve problems. Science games are becoming more popular and cover various areas such as sequence alignments, DNA base-pairing, and protein and RNA folding. While these tools have been developed for the general population, they can also be used effectively in the classroom to teach students about various topics. Many games also employ a social component that entices students to continue playing and thereby to continue learning. The basic functions of game play and the potential of game play as a tool in the classroom are discussed in this article. PMID:27047610

  4. Are Evolutionary Algorithms Required to Solve Sudoku Problems

    Directory of Open Access Journals (Sweden)

    Sean McGerty

    2016-02-01

    Full Text Available Sudoku puzzles are an excellent testbed for evoluti onary algorithms. The puzzles are accessible enough to be enjoyed by people. However the more co mplex puzzles require thousands of iterations before a solution is found by an evoluti onary algorithm. If we were attempting to compare evolutionary algorithms we could count thei r iterations to solution as a indicator of relative efficiency. However all evolutionary algor ithms include a process of random mutation for solution candidates. I will show that by improv ing the random mutation behaviours I was able to solve problems with minimal evolutionary op timisation. Experiments demonstrated the random mutation was at times more effective at solv ing the harder problems than the evolutionary algorithms. This implies that the qual ity of random mutation may have a significant impact on the performance of evolutiona ry algorithms with sudoku puzzles. Additionally this random mutation may hold promise for reuse in hybrid evolutionary algorithm behaviours.

  5. Games that Enlist Collective Intelligence to Solve Complex Scientific Problems.

    Science.gov (United States)

    Burnett, Stephen; Furlong, Michelle; Melvin, Paul Guy; Singiser, Richard

    2016-03-01

    There is great value in employing the collective problem-solving power of large groups of people. Technological advances have allowed computer games to be utilized by a diverse population to solve problems. Science games are becoming more popular and cover various areas such as sequence alignments, DNA base-pairing, and protein and RNA folding. While these tools have been developed for the general population, they can also be used effectively in the classroom to teach students about various topics. Many games also employ a social component that entices students to continue playing and thereby to continue learning. The basic functions of game play and the potential of game play as a tool in the classroom are discussed in this article.

  6. Games that Enlist Collective Intelligence to Solve Complex Scientific Problems

    Directory of Open Access Journals (Sweden)

    Stephen Burnett

    2015-09-01

    Full Text Available There is great value in employing the collective problem-solving power of large groups of people. Technological advances have allowed computer games to be utilized by a diverse population to solve problems. Science games are becoming more popular and cover various areas such as sequence alignments, DNA base-pairing, and protein and RNA folding. While these tools have been developed for the general population, they can also be used effectively in the classroom to teach students about various topics. Many games also employ a social component that entices students to continue playing and thereby to continue learning. The basic functions of game play and the potential of game play as a tool in the classroom are discussed in this article.

  7. Reframing hydrology education to solve coupled human and environmental problems

    Directory of Open Access Journals (Sweden)

    E. G. King

    2012-06-01

    Full Text Available The impact of human activity on the biophysical world raises myriad challenges for sustaining earth system processes, ecosystem services, and human societies. To engage in meaningful problem-solving in the hydrosphere, this necessitates an approach that recognizes the coupled nature of human and biophysical systems. We argue that in order to produce the next generation of problem-solvers, hydrology education should ensure that students develop an appreciation and working familiarity in the context of coupled human-environmental systems. We illustrate how undergraduate-level hydrology assignments can extend beyond rote computations or basic throughput scenarios to include consideration of the dynamic interactions with social and other biophysical dimensions of complex adaptive systems. Such an educational approach not only builds appropriate breadth of dynamic understanding, but can also empower students toward assuming influential and effective roles in solving sustainability challenges.

  8. Function of hippocampus in "insight" of problem solving.

    Science.gov (United States)

    Luo, Jing; Niki, Kazuhisa

    2003-01-01

    Since the work of Wolfgang Kohler, the process of "insight" in problem solving has been the subject of considerable investigation. Yet, the neural correlates of "insight" remain unknown. Theoretically, "insight" means the reorientation of one's thinking, including breaking of the unwarranted "fixation" and forming of novel, task-related associations among the old nodes of concepts or cognitive skills. Processes closely related to these aspects have been implicated in the hippocampus. In this research, the neural correlates of "insight" were investigated using Japanese riddles, by imaging the answer presentation and comprehension events, just after participants failed to resolve them. The results of event-related functional magnetic resonance imaging (fMRI) analysis demonstrated that the right hippocampus was critically highlighted and that a wide cerebral cortex was also involved in this "insight" event. To the best of our knowledge, this work is the first neuroimaging study to have investigated the neural correlates of "insight" in problem solving.

  9. Solving All-SAT Problems by P Systems

    Institute of Scientific and Technical Information of China (English)

    GUO Ping; JI Jinfang; CHEN Haizhu; LIU Ran

    2015-01-01

    — The satisfiability problem (SAT) is a well known NP-complete problem. Obtaining All of the truth assignments of SAT is called All-SAT and it has numerous applications in artificial intelligence and computer theo-ries. Many algorithms about SAT have been built, but how to solve All-SAT is still diffi cult. P system is a new distributed and parallel computation model. We use mem-brane division, which is frequently investigated to obtain an exponential working space in a linear time, to design a family of P systems to solve All-SAT in polynomial time. Our work provides a new and eff ective solution to All-SAT in a distributed and parallel manner.

  10. Two personification strategies for solving circles packing problem

    Institute of Scientific and Technical Information of China (English)

    黄文奇[1; 许如初[2

    1999-01-01

    Two personification strategies are presented, which yield a highly efficient and practical algorithm for solving one of the NP hard problems——circles packing problem on the basis of the quasi-physical algorithm. A very clever polynomial time complexity degree approximate algorithm for solving this problem has been reported by Dorit S.Hochbaum and Wolfgang Maass in J. ACM. Their algorithm is extremely thorough-going and of great theoretical significance. But, just as they pointed out, their algorithm is feasible only in conception and even for examples frequently encountered in everyday life and of small scale, it is the case more often than not that up to a million years would be needed to perform calculations with this algorithm. It is suggested toward the end of their paper that a heuristic algorithm of higher practical effectiveness should be sought out. A direct response to their suggestion is intented to provide.

  11. Solving the Stokes problem on a massively parallel computer

    DEFF Research Database (Denmark)

    Axelsson, Owe; Barker, Vincent A.; Neytcheva, Maya;

    2001-01-01

    We describe a numerical procedure for solving the stationary two‐dimensional Stokes problem based on piecewise linear finite element approximations for both velocity and pressure, a regularization technique for stability, and a defect‐correction technique for improving accuracy. Eliminating the v...... is proportional to the number of unknowns. Further, it is designed to exploit a massively parallel computer with distributed memory architecture. Numerical experiments on a Cray T3E computer illustrate the parallel performance of the method....... boundary value problem for each velocity component, are solved by the conjugate gradient method with a preconditioning based on the algebraic multi‐level iteration (AMLI) technique. The velocity is found from the computed pressure. The method is optimal in the sense that the computational work...

  12. Reframing hydrology education to solve coupled human and environmental problems

    Directory of Open Access Journals (Sweden)

    E. G. King

    2012-11-01

    Full Text Available The impact of human activity on the biophysical world raises myriad challenges for sustaining Earth system processes, ecosystem services, and human societies. To engage in meaningful problem-solving in the hydrosphere, this necessitates an approach that recognizes the coupled nature of human and biophysical systems. We argue that, in order to produce the next generation of problem-solvers, hydrology education should ensure that students develop an appreciation and working familiarity in the context of coupled human-environmental systems. We illustrate how undergraduate-level hydrology assignments can extend beyond rote computations or basic throughput scenarios to include consideration of the dynamic interactions with social and other biophysical dimensions of complex adaptive systems. Such an educational approach not only builds appropriate breadth of dynamic understanding, but can also empower students toward assuming influential and effective roles in solving sustainability challenges.

  13. High School Students’ Geometric Thinking, Problem Solving and Proof Skills

    Directory of Open Access Journals (Sweden)

    Hülya Kılıç

    2013-06-01

    Full Text Available The aim of this paper is to present the findings of a pilot study which was designed to investigate the effects of using dynamic geometry software on the tenth grade students’ geometric thinking, problem solving and proof skills. It was a quasi-experimental study consisted of 49 students from six different high schools around Istanbul. In the treatment groups, the students engaged with five dynamic geometry activities in the geometry lessons throughout the semester. Although no significant differences between the groups were observed, in the treatment groups, the students’ mean scores for each type of test increased significantly. The students’ answers for each item in the tests were also analyzed. It is found that students’ mean scores for each item were quite low such that they did not know the definitions of basic geometric concepts and the relationships between them and also they were not able to solve geometry problems and prove given arguments.

  14. Epistemic Impact on Group Problem Solving for Different Science Majors

    OpenAIRE

    Mason, Andrew J.; Bertram, Charles A.

    2016-01-01

    Implementation of cognitive apprenticeship in an introductory physics lab group problem solving exercise may be mitigated by epistemic views toward physics of non-physics science majors. Quantitative pre-post data of the Force Concept Inventory (FCI) and Colorado Learning Attitudes About Science Survey (CLASS) of 39 students of a first-semester algebra-based introductory physics course, while describing typical results for a traditional-format course overall (g = +0.14), suggest differences i...

  15. Mathematical modelling, problem solving, project and ethnomathematics: Confluent points

    OpenAIRE

    Salett Biembengut, Maria

    2015-01-01

    This paper presents a documental study about the con-fluent points among mathematical modelling, problem solving, project and ethnomathematics as methods of research and mathematics teaching. As a result, the study has shown that there are elements that bind these methods structurally together as research methods. Starting from the fact that education should promote knowledge this study provides evidence for these methods. Thus in each one of them, it is required knowledge from the student ab...

  16. English as a Mean to Solve All Our Communication Problems

    Directory of Open Access Journals (Sweden)

    Narcisa ŢIRBAN

    2011-01-01

    Full Text Available This paper will be discussing about English as international language and its important rolein everyone’s daily life in the world. Here is also underlined the most of the difficulties that learnersface in the study of English as a consequence of the degree to which their native language differsfrom English. On the other hand cultural differences in communication styles and preferences aresignificant and need to be taken in account when one tries to solve the communication problems.

  17. Young Children Selectively Seek Help When Solving Problems

    OpenAIRE

    Cluver, Annette; Heyman, Gail; Carver, Leslie J.

    2013-01-01

    There is strong evidence that children show selectivity in their reliance on others as sources of information, but the findings to date have largely been limited to contexts that involve factual information. The present studies were designed to determine whether children might also show selectivity in their choice of sources within a problem-solving context. Children in two age groups (20 to 24 months and 30 to 36 months; total N = 60) were presented with a series of conceptually difficult pr...

  18. GRATE: A General Framework for Cooperative Problem Solving

    OpenAIRE

    Jennings, N. R.; Mamdani, E. H.; Laresgoiti, I.; Perez, J.; Corera, J.

    1992-01-01

    As the deployment of expert systems has spread into more complex and sophisticated environments, so inherent technological limitations have been observed. As a technique for overcoming this complexity barrier, researchers have started to build systems composed of multiple, cooperating components. These systems tend to fall into two distinct categories: systems which solve a particular problem, such as speech recognition or vehicle monitoring, and systems which are general to some extent. GRAT...

  19. Solving Constraint Satisfaction Problems through Belief Propagation-guided decimation

    OpenAIRE

    Montanari, Andrea; Ricci-Tersenghi, Federico; Semerjian, Guilhem

    2007-01-01

    Message passing algorithms have proved surprisingly successful in solving hard constraint satisfaction problems on sparse random graphs. In such applications, variables are fixed sequentially to satisfy the constraints. Message passing is run after each step. Its outcome provides an heuristic to make choices at next step. This approach has been referred to as `decimation,' with reference to analogous procedures in statistical physics. The behavior of decimation procedures is poorly understood...

  20. Application of homotopy analysis method for solving nonlinear Cauchy problem

    Directory of Open Access Journals (Sweden)

    V.G. Gupta

    2012-11-01

    Full Text Available In this paper, by means of the homotopy analysis method (HAM, the solutions of some nonlinear Cauchy problem of parabolic-hyperbolic type are exactly obtained in the form of convergent Taylor series. The HAM contains the auxiliary parameter \\hbar that provides a convenient way of controlling the convergent region of series solutions. This analytical method is employed to solve linear examples to obtain the exact solutions. The results reveal that the proposed method is very effective and simple.

  1. Cooperative problem solving in a cooperatively breeding primate

    OpenAIRE

    Cronin, K.; Kurian, A; Snowdon, C

    2005-01-01

    We investigated cooperative problem solving in unrelated pairs of the cooperatively breeding cottontop tamarin, Saguinus oedipus, to assess the cognitive basis of cooperative behaviour in this species and to compare abilities with other apes and monkeys. A transparent apparatus was used that required extension of two handles at opposite ends of the apparatus for access to rewards. Resistance was applied to both handles so that two tamarins had to act simultaneously in order to receive rewards...

  2. Cooperative problem solving in a cooperatively breeding primate (Saguinus oedipus)

    OpenAIRE

    Cronin, Katherine A.; KURIAN, AIMEE V.; Snowdon, Charles T.

    2005-01-01

    We investigated cooperative problem solving in unrelated pairs of the cooperatively breeding cottontop tamarin, Saguinus oedipus, to assess the cognitive basis of cooperative behaviour in this species and to compare abilities with other apes and monkeys. A transparent apparatus was used that required extension of two handles at opposite ends of the apparatus for access to rewards. Resistance was applied to both handles so that two tamarins had to act simultaneously in order to receive rewards...

  3. Quasiphysical and quasisociological algorithm Solar for solving SAT problem

    Institute of Scientific and Technical Information of China (English)

    黄文奇; 金人超

    1999-01-01

    Using both quasiphysical and quasisociological methods, in conjunction with an inheriting strategy, a new way strategy and a pardon strategy was proposed for efficiently solving the SAT problem. An intuitive explanation is given for the Bart Selman random walk strategy. A new algorithm, Solar, was devised by combining these strategies. The new algorithm is shown to be both faster and stabler than the heretofore best algorithm.

  4. THE ROLE OF ACTIVATED CARBON IN SOLVING ECOLOGICAL PROBLEMS

    Directory of Open Access Journals (Sweden)

    V. M. Mukhin

    2008-06-01

    Full Text Available The authors present a brief analysis of the current global situation concerning the utilization of activated carbon in various fields. The article presents data concerning the synthesis and adsorption and structure properties of new activated carbons, used for solving ecological problems. The authors investigated the newly obtained activated carbons in comparison with several AC marks known in the world. It has been shown that currently synthesized AC are competitive with foreign marks.

  5. Video games and problem solving effectiveness of primary school children

    OpenAIRE

    Jakoš, Andrej

    2012-01-01

    The purpose is to find out whether video games can have positive effects on children and whether we can use those effects for educational purposes at school. The thesis contains theories of the leading authors of developmental psychology in the field of cognitive development as well as an insight into the processes of learning and using problem solving skills. In the second half of the theoretical part, the essential information on video games, their effects researched until now and the means...

  6. Clinical Reasoning Terms Included in Clinical Problem Solving Exercises?

    Science.gov (United States)

    Musgrove, John L; Morris, Jason; Estrada, Carlos A; Kraemer, Ryan R

    2016-05-01

    Background Published clinical problem solving exercises have emerged as a common tool to illustrate aspects of the clinical reasoning process. The specific clinical reasoning terms mentioned in such exercises is unknown. Objective We identified which clinical reasoning terms are mentioned in published clinical problem solving exercises and compared them to clinical reasoning terms given high priority by clinician educators. Methods A convenience sample of clinician educators prioritized a list of clinical reasoning terms (whether to include, weight percentage of top 20 terms). The authors then electronically searched the terms in the text of published reports of 4 internal medicine journals between January 2010 and May 2013. Results The top 5 clinical reasoning terms ranked by educators were dual-process thinking (weight percentage = 24%), problem representation (12%), illness scripts (9%), hypothesis generation (7%), and problem categorization (7%). The top clinical reasoning terms mentioned in the text of 79 published reports were context specificity (n = 20, 25%), bias (n = 13, 17%), dual-process thinking (n = 11, 14%), illness scripts (n = 11, 14%), and problem representation (n = 10, 13%). Context specificity and bias were not ranked highly by educators. Conclusions Some core concepts of modern clinical reasoning theory ranked highly by educators are mentioned explicitly in published clinical problem solving exercises. However, some highly ranked terms were not used, and some terms used were not ranked by the clinician educators. Effort to teach clinical reasoning to trainees may benefit from a common nomenclature of clinical reasoning terms.

  7. Determination of criteria weights in solving multi-criteria problems

    Science.gov (United States)

    Kasim, Maznah Mat

    2014-12-01

    A multi-criteria (MC) problem comprises of units to be analyzed under a set of evaluation criteria. Solving a MC problem is basically the process of finding the overall performance or overall quality of the units of analysis by using certain aggregation method. Based on these overall measures of each unit, a decision can be made whether to sort them, to select the best or to group them according to certain ranges. Prior to solving the MC problems, the weights of the related criteria have to be determined with the assumption that the weights represent the degree of importance or the degree of contribution towards the overall performance of the units. This paper presents two main approaches which are called as subjective and objective approaches, where the first one involves evaluator(s) while the latter approach depends on the intrinsic information contained in each criterion. The subjective and objective weights are defined if the criteria are assumed to be independent with each other, but if they are dependent, there is another type of weight, which is called as monotone measure weight or compound weights which represent degree of interaction among the criteria. The measure of individual weights or compound weights must be addressed in solving multi-criteria problems so that the solutions are more reliable since in the real world, evaluation criteria always come with different degree of importance or are dependent with each other. As the real MC problems have their own uniqueness, it is up to the decision maker(s) to decide which type of weights and which method are the most applicable ones for the problem under study.

  8. Problem solving skills and influential factors in high school students

    Directory of Open Access Journals (Sweden)

    Arzu Yıldırım

    2011-02-01

    Full Text Available   Objective: The aim of this study was to determine, problem solving skills of 9,10,11. class of students from 12 high school of Erzincan province.Material and Methods: The universe of this descriptive and cross-sectional study comprised a total of 4962 students who attended the above mentioned schools and the sampling comprised 911 students (18% of the universe randomly chosen among them. The data were collected in April 2007 through a descriptive form designed and Problem Solving Inventory by the investigators and were evaluated using percentage calculations, variance analyze, t test and Kruskal Wallis test. Results: The average age of students participating in research was found to be 16.30±1.19. 53.1% of student girls, 38.5% were ninth class, mothers of 49.6% and fathers of 31.6% were graduated from primary school. While the mothers of  92.8% of students were housewife, fathers of 31.0% of them were officer. 45.1% of students’ family income was found to be in the good level. It was found that 55.4% of students’ school achievement was found to be well. Problem Solving Skills (PSS scores of students were found to be close to the level of good (89.91±19.77. The significant diffrence was found between PSS levels and some paremeters which were the gender, class of students and their fathers’ occupation status and education levels, to feel alone himself/herself, the situation of self confidence, the stuation of using alcoler or cigarette of students (p<0.05, p<0.01, p<0.001.Conclusion: In this study, it has been identified that students in general, closer to middle level problem solving skills. Problem solving skills are cognitive skills which can be learned and progressed. Be cause of this, it maybe suggested that this skill can be developed by focusing on problem-based learning with student-centered approach in every field of training.               

  9. Mindless Intelligence Method for Solving the Tower of Hanoi Problem

    Institute of Scientific and Technical Information of China (English)

    TSAU Minhe; KAO Weiwen; CHANG Albert

    2009-01-01

    Over the past years, more and more attention has been paid to artificial life research. The main object of artificial life research is to explore how to control the enviromnents in which the digital organisms imitating natural life, under complicated competition and evolutionary conditions, develop their own wisdom, which can then be used to solve the problems in the real world. While most of the current researches applied one or another artificial life method to solve real problems, the fundamental mechanism of the emerging process of artificial life is seldom addressed. The research works on genetic algorithms, although bearing fruitful results, could only be deemed as constituting a basic stage in the process of artificial life development. This study proposes a new method of employing artificial life, to complement the contents of the research of mindless intelligence, which is regarded as a bridge linking genetic algorithms to general artificial life. And two important concepts, key manipulating parameters and contribution function in its context, are proposed to expand the mindless intelligence applications, in order to pave the way for the optimal design of an artificial life method, in an attempt to fill the conceptual gap between genetic algorithms and artificial life, and consequently clarifying the artificial life mechanism. As a case study we applied these innovative methods to solve an open problem: the Tower of Hanoi, to attest to the feasibility of our approach, and we have achieved satisfactory results.

  10. Effects of problem characteristics, capturing problem structure and using analogies on high school students’ success on problem-solving

    OpenAIRE

    Pedro GARCÍA GALLEGO; Sanjosé López, Vicente; SOLAZ-PORTOLÉS, Joan Josep

    2015-01-01

    This study analyses the influence of academic level, academic itinerary, word problem’s context and structure, capturing problem structure, and using analogies on problem-solving. A factorial design was used with one within-subjects variable and several between-subjects variables, which have been selected depending on the hypothesis in question. Two types of booklets containing two word problems and questions about capturing problem structure and using analogies in problem solving, were admin...

  11. Adaptive Memory Procedure to solve the Profitable Arc Tour Problem

    Directory of Open Access Journals (Sweden)

    Jalel Euchi

    2010-05-01

    Full Text Available In this paper we propose an Adaptive memory procedure to solve the Profitable Arc Tour Problem (PATP. The PATP is a variant of the well-known Vehicle Routing Problems in which a set of vehicle tours are constructed. The objective is to find a set of cycles in the vehicle tours that maximize the collection of profits minus travel costs, subject to constraints limiting the length of cycles that profit is available on arcs. Computational experiments show that our algorithms provide good results in terms of quality of solution and running times.

  12. A matrix product state method for solving combinatorial optimization problems

    Science.gov (United States)

    Pelton, S. S.; Chamon, C.; Mucciolo, E. R.

    2015-03-01

    We present a method based on a matrix product state representation to solve combinatorial optimization problems. All constraints are met by mapping Boolean gates into projection operators and applying operators sequentially. The method provides exact solutions with high success probability, even in the case of frustrated systems. The computational cost of the method is controlled by the maximum relative entropy of the system. Results of numerical simulations for several types of problems will be shown and discussed. NSF Grants CCF-1116590 and CCF-1117241.

  13. Problem Solving and the Use of Math in Physics Courses

    CERN Document Server

    Redish, E F

    2006-01-01

    Mathematics is an essential element of physics problem solving, but experts often fail to appreciate exactly how they use it. Math may be the language of science, but math-in-physics is a distinct dialect of that language. Physicists tend to blend conceptual physics with mathematical symbolism in a way that profoundly affects the way equations are used and interpreted. Research with university physics students in classes from algebra-based introductory physics indicates that the gap between what students think they are supposed to be doing and what their instructors expect them to do can cause severe problems.

  14. Neural network for solving convex quadratic bilevel programming problems.

    Science.gov (United States)

    He, Xing; Li, Chuandong; Huang, Tingwen; Li, Chaojie

    2014-03-01

    In this paper, using the idea of successive approximation, we propose a neural network to solve convex quadratic bilevel programming problems (CQBPPs), which is modeled by a nonautonomous differential inclusion. Different from the existing neural network for CQBPP, the model has the least number of state variables and simple structure. Based on the theory of nonsmooth analysis, differential inclusions and Lyapunov-like method, the limit equilibrium points sequence of the proposed neural networks can approximately converge to an optimal solution of CQBPP under certain conditions. Finally, simulation results on two numerical examples and the portfolio selection problem show the effectiveness and performance of the proposed neural network.

  15. The Effect of Using Colored Texts in Solving Reading Problems

    Directory of Open Access Journals (Sweden)

    Serdarhan Musa TAŞKAYA

    2010-01-01

    Full Text Available Literacy is a skill gained during the first year of primary education. However,there are many students suffering from literacy problems, even though they are in highergrades. This study aims at emphasizing the effectiveness of colored texts in solving out theproblem of student with reading problems at different levels of primary education. This study,which was carried out in the Centrum of Ankara, has been arranged as a one-sampleresearch. As a result of the study, it has been observed that the points assigned to the studentabout phonetic and media scales rose up significantly when one student with reading problemwas treated using colored text.

  16. Solving a Class of Generalized Nash Equilibrium Problems

    Institute of Scientific and Technical Information of China (English)

    Peiyu LI; Guihua LIN

    2013-01-01

    Generalized Nash equilibrium problem (GNEP) is an important model that has many applications in practice.However,a GNEP usually has multiple or even infinitely many Nash equilibrium points and it is not easy to choose a favorable solution from those equilibria.This paper considers a class of GNEP with some kind of separability.We first extend the so-called normalized equilibrium concept to the stationarity sense and then,we propose an approach to solve the normalized stationary points by reformulating the GNEP as a single optimization problem.We further demonstrate the proposed approach on a GNEP model in similar product markets.

  17. Solving liveness problem for marked nets by exhaustive coverability trees

    Institute of Scientific and Technical Information of China (English)

    2001-01-01

    It is well known that a coverability tree of a Petri net cannot solve reaehability and liveness problems of the net because using symbol ω (infinity.) may lose some information. A solution to this problem is presented for a special kind of Petri net, marked net. With the combination of o and the increasing/decreasing information of token number, a new kind of coverability tree of marked nets, called exhaustive coverability tree (ECT), is proposed. It is shown with an example that an ECT can be used to detect deadlock.

  18. Does social capital help solving real world collective action problems?

    DEFF Research Database (Denmark)

    Nannestad, Peter

    2007-01-01

    A growing number of empirical macro-level studies show that social capital has various beneficial economic and political consequences. At the micro-level these beneficial effects are normally ascribed to the positive effects of social capital on transaction costs and/or the ability to solve...... collective action problems. However, these micro-level effects of social capital are more often assumed or postulated than empirically demonstrated. Using the collective action problem of organizing for the furthering of a common (collective) interest or good among non-western first-generation immigrants...

  19. Developing a model for problem-solving in a Grade 4 mathematics classroom

    Directory of Open Access Journals (Sweden)

    Susan Nieuwoudt

    2015-11-01

    Full Text Available The teaching of problem-solving through the development of a problem-solving model was investigated in a Grade 4 mathematics classroom. Learners completed a questionnaire regarding their knowledge of mathematical problem-solving, their attitudes towards problem-solving, as well as their experiences in solving problems. Learners’ responses revealed overall negative beliefs towards problem-solving as well as a lack of knowledge about what problem-solving in mathematics entails. The teacher then involved the learners in a structured learning programme where they worked in cooperative groups of six on different kinds of mathematical problems to solve. The groups regularly engaged in discussions about the different strategies they were using to solve a specific problem and eventually succeeded in formulating a generic problem-solving model they could call their own. The model was effectively used by the learners to solve various mathematical problems, reflecting their levels of cognitive development to a certain extent.

  20. General Problem Solving Strategies Employed in the Mexican Mathematical Olympiad

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    María del Consuelo Valle Espinosa

    2007-11-01

    Full Text Available This article describes the general strategies applied to problem solving in the State Math Olympiad selection test, in Puebla, Mexico. It analyzes the answers of 91 participants, ages 14 to 17, from junior high school and high school. Whether participants reached a problem solution or not, they rendered their results in one answer sheet and the arguments for those results in other. These answer sheets were used to form a database with 546 results. The sheets selected for the database were those in which participants identified the unknown factor, data and condition of the problem, in addition to have offered one or several solution strategies. Then, strategies were verbally described, their usage frequency calculated, and their effect on the different branches of mathematics depending on the problem analyzed. The strategy or strategies provided by participants were examined to identify stages of problem solving. The results showed that only 5% of the answer sheets had complete solutions. That emphasizes the need to systematize the State training courses for the National Olympiad. The importance of the training course is directly related to its purpose: to prepare young people for the National Olympiad and to enrich the Higher Education System of Puebla with students interested in doing science careers, with the ability to develop their hypothetical–deductive reasoning successfully.