• 한국IT서비스학회:학술대회논문집
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• 2009.11a
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• pp.9-19
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• 2009

SCM은 시장의 변화를 신속하고 파악하고 IT 기술을 활용해 정보를 공유함으로써 변화에 보다 적극적으로 대처해 전체 Supply Chain의 이익을 높이고자 하는 전략적 사고라고 할 수 있다. SCM에서 파트너 선정은 장기적이고 전략적인 관점에서 이루어져야 하는 지식 집약적인 업무 Process이다. 본 연구는 SCM에서 파트너 선정의 절차를 Task Modeling을 통해 재사용 가능한 Knowledge-base를 개발하는 것이다. 이를 위해, 첫 번째로 전문가의 문제 해결 과정을 분석해 문제 해결 과정을 대상으로 한 Problem-Solving Ontology(Task Ontology)를 도출하고, 두 번째로 문제 해결 과정에 필요한 Domain Knowledge를 추출해 파트너 선정 문제 해결에 필요한 Domain Ontology를 개발한다. 끝으로 Problem-Solving Ontology와 Domain Ontology를 Protege를 통해 구현하고자 한다.

• Proceedings of the IEEK Conference
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• 1998.10a
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• pp.511-514
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• 1998

This paper proposes efficient methods that integrate and execute local plan rules of task agents in a multi-agent environment. In these methods, each agent's plan rules are represented in a network structure, and these networks are then collected by a single task agent to build a integrated domain network, which is exploited to achieve the goal. Agent problem solving by using the domain network enables a concurrent execution of plan rules that are sequential in nature.

• Journal of The Korean Association For Science Education
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• v.22 no.1
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• pp.132-140
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• 2002

The purpose of this study was to find the influence of students' cognitive styles and cognitive levels on chemistry problem solving. 322 11th grade students were administered Group Embedded Figures Test(GEFT), Group Assesment of Logical Thinking(GALT), and chemistry problem solving task about mole and stoichiometry. Chemistry task was made of ten items, 5 items of them include misleading factor(irrelevant information). The students who are field-independent and in formal operational stage got higher scores than those who are field-dependent and in transitional stage. In 5 items which have no misleading factor GALT had significantly contributed to the regression equation, while in 5 items which have misleading factor GEFT was significant contribution to the regression equation. In two items of misleading items, students who used the irrelevant information were significantly more field dependent than those who did not use this information.

• School Mathematics
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• v.17 no.3
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• pp.423-446
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• 2015

This study aims to look into the characteristics of argumentation in the task context of 'Monty Hall problem' at a high school probability class. As a result of an analysis of classroom discourses on the argumentation between teachers and second-year students in one upper level class in high school using Toulmin's argument pattern, it was found that it would be important to create a task context and a safe classroom culture in which the students could ask questions and refute them in order to make it an argument-centered discourse community. In addition, through the argumentation of solving complex problems together, the students could be further engaged in the class, and the actual empirical context enriched the understanding of concepts. However, reasoning in argumentation was mostly not a statistical one, but a mathematical one centered around probability problem-solving. Through these results of the study, it was noted that the teachers should help the students actively participate in argumentation through the task context and question, and an understanding of a statistical reasoning of interpreting the context would be necessary in order to induce their thinking and reasoning about probability and statistics.

• Korean Journal of Child Studies
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• v.29 no.1
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• pp.339-353
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• 2008

This study examined how cognitive style in young children affects mathematical problem-solving performance. Findings showed that the types of patterns presented were linked to the degree of difficulty of the tasks and that disparity between field-independent and field-dependent in cognitive style was broader when subjects worked with more complicated pattern problems. Subjects' marks varied by cognitive style when dynamic assessment was conducted, but cognitive style made no difference in their mathematical learning capability. Cognitive style had an impact not only on the task performance of the learners but on the extent to which they were in need of help during the problem-solving process. Yet, it exercised no influence on how much progress the subjects made when fully assisted.

• Journal of Korea Society of Digital Industry and Information Management
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• v.13 no.4
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• pp.179-191
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• 2017

The purpose of this study is to investigate the change of comprehension degree about learning satisfaction and capstone class by applying the subject which draws idea for team project task in college to creative capstone design program. The Capstone Design Program is designed to train fieldworkers with creative problem solving skills and is widely applied as a problem-solving course in team-based projects. In this paper, based on the case study of the 'fusion capstone design' operated in the first semester of 2015 ~ 2017, the capstone design course was established in the course of designing ideas for problem solving. The results of this study are as follows: First, the questionnaire about capstone design instruction process, instruction method, and learning achievement satisfaction were analyzed. As a result, understanding of capstone design was found to be higher than that of class before class, and satisfaction of performance course, method of teaching performance and learning outcome were obtained.

• Education of Primary School Mathematics
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• v.8 no.1
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• pp.23-32
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• 2004

It is not too much to say that problem solving is still the focus of school mathematics though the trend of mathematics education for ten year from the one of 1980 is problem solving and the one of mathematics education for ten year from the one of 1990 is standards and constructivism. There are so many crucial clues or methods in good problem solving but I think that one of them is a representation. So, the purpose of this study is to investigate what is the meaning of representation in general and why representation is so important in elementary mathematics learning, Moreover, I have analyzed the gifted children's thinking of representation which is appeared in the previous internet home task of 40 gifted children who are selected through the examination of 1st, 2nd with paper and pencil and 3rd with practical skill and interview and finally I have presented some examples of children's representation how they use representation to model, investigate and understand special concept more easily in elementary school mathematics class.

• Journal of Institute of Control, Robotics and Systems
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• v.3 no.5
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• pp.542-554
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• 1997

In this paper, we present a resource conscious approach to designing distributed real-time systems as an extension of our original approach [8][9] which was limited to single processor systems. Starting from a given task graph and a set of end-to-end constraints, we automatically generate task attributes (e.g., periods and deadlines) such that (i) the task set is schedulable, and (ii) the end-to-end timing constraints are satisfied. The method works by first transforming the end-to-end timing constraints into a set of intermediate constraints on task attributes, and then solving the intermediate constraints. The complexity of constraint solving is tackled by reducing the problem into relatively tractable parts, and then solving each sub-problem using heuristics to enhance schedulability. In this paper, we build on our single processor solution and show how it can be extended for distributed systems. The extension to distributed systems reveals many interesting sub-problems, solutions to which are presented in this paper. The main challenges arise from end-to-end propagation delay constraints, and therefore this paper focuses on our solutions for such constraints. We begin with extending our communication scheme to provide tight delay bounds across a network, while hiding the low-level details of network communication. We also develop an algorithm to decompose end-to-end bounds into local bounds on each processor of making extensive use of relative load on each processor. This results in significant decoupling of constraints on each processor, without losing its capability to find a schedulable solution. Finally, we show, how each of these parts fit into our overall methodology, using our previous results for single processor systems.

• Journal of Gifted/Talented Education
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• v.24 no.4
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• pp.577-595
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• 2014

The purpose of this research was to investigate the possibility of peer recommendation and to provide a diverse perspectives identifying for gifted elementary school students. The subjects were 355 elementary school students who were either fourth, fifth, and sixth grade from D elementary school located in Gyeonggi province, 165 elementary school students who are either fourth, fifth, and sixth grade from J elementary school located in Gyeonggi province, and 16 teachers who were home-room teachers for students surveyed. This research investigate the difference of creative personality, achievement motivation, problem solving patterns, and task preference inventory between students recommended by peer and students not recommended by peer. The results of this research were as follows. Firstly, the students recommended by peer showed the significantly higher creative personality, achievement motivation, problem solving patterns, and task preference than the student not recommended by peer. Secondly, as a result of comparing the students recommended by peer and students not recommended by peer for each grade, fifth and sixth grade students showed a significantly higher score in the test than other graders. Fourth grade students showed significantly higher score in every sections in the test, except for the section of creative personality. Therefore, the peer recommandation method can be applied to fifth, and sixth graders. Thirdly, the student recommended by both teacher and peer showed significantly higher problem solving patterns, and task preference scores than the student recommended only by teacher. Therefore, peer recommendation method can be an useful data for complementing teacher recommendation and it can identify gifted elementary school students.

• The Mathematical Education
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• v.60 no.4
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• pp.431-449
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• 2021

Elementary mathematics textbooks present contents for enhancing problem solving competency. Still, teachers find teaching problem solving to be challenging. To understand the supports textbooks are suggesting, this study examined tasks from the challenging/thinking and inquiry mathematics. We analyzed 288 mathematical activities based on an analytic framework from the 2015 revised mathematics curriculum. Then, we employed latent class analysis to classify 83 mathematical tasks as a new approach to categorize tasks. As a result, execution of the problem solving process was emphasized across grade levels but understanding of problems was varied by grade levels. In addition, higher grade levels had more opportunities to be engaged in collaborative problem solving and problem posing. We identified three task profiles: 'execution focus', 'collaborative-solution focus', 'multifaceted-solution focus'. In Grade 3, about 80% of tasks were categorized as the execution profile. The multifaceted-solution was about 40% in the thinking/challenging mathematics and the execution profile was about 70% in Inquiry mathematics. The implications for developing mathematics textbooks and designing mathematical tasks are discussed.