• Proceedings of the Korea Inteligent Information System Society Conference
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• 1999.10a
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• pp.281-289
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• 1999

The objective of this paper is to propose a brand new interface mechanism to provide more intelligent decision making support for EC problems. Its main virtue is based on a numerical process mechanism by using an Extended AND-OR Graph (EAOG)-based logic algebra. Using this mechanism, decision makers engaged in electronic commerce (EC) can effectively deal with complicated decision making problems. In the field of traditional expert systems research, AND-OR Graph approach has been suggested as a useful tool for representing the logic flowchart of the forward and/or backward chaining inference methods. However, the AND-OR Graph approach cannot be effectively used in the EC problems in which real-time problem-solving property should be highly required. In this sense, we propose the EAOG inference mechanism for EC problem-solving in which heurisric knowledge necessary for intelligent EC problem-solving can be represented in a form of matrix. Finally, we have proved the validity of our approach with several propositions and an illustrative EC example

• Korean Journal of Childcare and Education
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• v.20 no.3
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• pp.125-147
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• 2024

Objective: This study aims to implement an ecological transition education program for young children, based on a project approach, to investigate its effectiveness in enhancing sustainable development awareness, ecological literacy, and problem-solving skills. Methods: In this study, 56 five-year-old children from a preschool in S City were assigned to either a quasi-experimental group or a control group, with 28 children in each group. The project-based ecological transition education program for young children was conducted from July 14 to September 15, 2023. The experimental group explored the themes of 'marine life' and 'pets and animal welfare,' while the control group focused on different topics. The research employed independent sample t-tests and analysis of covariance (ANCOVA) for data analysis. Results: The project-based ecological transition education program effectively enhanced young children's awareness of sustainable development, ecological literacy, and problem-solving skills. Conclusion/Implications: This study is significant in developing an integrated, project-based ecological transition education program within a play-centered curriculum. It demonstrates how sustainable values can be effectively incorporated into play. Furthermore, the findings can serve as foundational data for implementing educational and childcare programs that nurture young children to become ecological citizens, leading sustainable futures.

• Journal of Distribution Science
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• v.22 no.2
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• pp.71-82
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• 2024

Purpose: Despite significant research on decision-making, researchers struggle to comprehend the decision-making process. This paper aims to not only examine the relationship between problem-solving skills, cognitive competency, and decision-making but also develop measurement instruments for cognitive competency and problem-solving skills to better model decision-making. Research Design, Methodology and Approach: A cross-sectional study was conducted by surveying 292 university students in HCM City, Vietnam, via email sent randomly by Google Forms. This study identifies the conceptual framework and tests the hypotheses using a deductive approach. The SPSS program was used to evaluate the scales' reliability, and the SmartPLS program was used to assess the measurement and structural models. Results: The results show that the research model better modelled the relationship between problem-solving skills, cognitive competency, and decision-making. Although thinking ability has no direct impact on decision-making, both creativity and problem-solving skills have a positive impact on decision-making. The mediating role of problem-solving skills is also determined by the positive relationship between cognitive competency and decision-making. Conclusions: This study highlights decision-making efficiency through the cognitive process from low to high levels and provides for policymakers and managers to explain the decision-making process in a variety of sectors, such as distribution chains, marketing, and human resource distribution.

• Hwankyungkyoyuk
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• v.20 no.1
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• pp.118-130
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• 2007

This article investigated the effects of students' knowledge, beliefs, and attitudes about environment on environmental issue-based environmental problem solving in secondary school students. This article also investigated whether these factors are related to the environmental problem solving. Therefore, we first developed the test instruments to measure secondary school students' environmental knowledge, environmental beliefs, and environmental attitudes. Then, we developed the environmental issue-based teaching materials for secondary school students. The subjects participated in a environmental issue-based approach that consist of 3 lesson over an three weeks period. The results of this study presents that environmental knowledge and environmental beliefs are effective for the environmental problem solving in middle school environment class. First, secondary school students knew well ecological knowledge about environmental problem, and was entertaining most ecological beliefs. Second, secondary school students were having attitude which is most pro-environmental behaviors. Third, secondary school students are referring necessity of development partially about environment point at issue of country level. But, they were retaining situation of preservation about environment point at issue of area level. It's not easy to generalize these results because of many different variables, but the results suggests that teachers should make an effort to improve student's environmental problem solving ability applying environmental issue-based learning. And it's necessary to develop many kinds of environmental issues and teacher's instruction method to enrich problem solving ability in the process of environmental issue-based learning.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2003.11a
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• pp.201-204
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• 2003

A hybrid artificial intelligence approach based on combining case based reasoning and neural networks is presented. The approach is designed to allow for solving blowing control of BOF(basic oxygen furnace), example of which lie at the core of steelmaking process control systems application in the steel industry. According to this hybrid approach, the system, when faced with a new problem, first retrieves similar cases and neural network is used to solve the problem. Experimental Results indicate that combining case based reasoning and neural network offers an efficient approach to solving control and prediction problem

• Journal of Digital Convergence
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• v.13 no.1
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• pp.227-235
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• 2015

Big data analysis is a means of organizational problem solving. For an effective problem solving, approaches to problem solving should take into account the factors such as characteristics of problem, types and availability of data, data analytic capability, and technical capability. In this article we propose three approaches: logical top-down, data driven bottom-up, and prototyping for overcoming undefined problem circumstances. In particular we look into the relationship of creative problem solving with the bottom-up approach. Based on the organizational data governance and data analytic capability, we also derive strategic issues concerning the sourcing of big data analysis.

• Educational Technology International
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• v.20 no.1
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• pp.83-107
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• 2019

The aim of this study is to provide the values and descriptive implications of the Design Thinking (DT) method into the context of educational problems of practice in an undergraduate course. To achieve the research objective, both quantitative and qualitative studies were conducted. For the qualitative study, the student's productions and reflections on the experience of the application of the DT into educational problems were analyzed. For the quantitative research, one-group pre and post-test were designed to validate the effectiveness of the DT method into educational contexts in terms of creativity level to measure the student's Creativity Potential and Practiced Creativity, Academic Self-Efficacy Scale, and Problem-Solving Inventory. This study validated that the DT method had a statistically significant influence on those three competencies and also illustrated the detailed process from a qualitative viewpoint. The results and implications reflect the potential of the DT approach with the educational problem of practice, especially, in the ill-structured problem-solving contexts for student-centered instructional setting.

• Journal of applied mathematics & informatics
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• v.30 no.5_6
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• pp.719-728
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• 2012

In this paper, we develop a numerical method to solving an optimal control problem, which is governed by a parabolic partial differential equations(PDEs). Our approach is to approximate the PDE problem to initial value problem(IVP) in $\mathbb{R}$. Then, the homogeneous part of IVP is solved using semigroup theory. In the next step, the convergence of this approach is verified by properties of one-parameter semigroup theory. In the rest of paper, the original optimal control problem is solved by utilizing the solution of homogeneous part. Finally one numerical example is given.

• Hwankyungkyoyuk
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• v.21 no.4
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• pp.111-122
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• 2008

This study is to evaluate the effect of roleplaying-centered STS program on the science-related attitude, the academic achievement, and the problem solving ability in "Environment" unit of high school Science. 90 students in grade 10 were divided into two groups, the experimental group applied the roleplaying-centered STS program and the control group applied the traditional lecture-centered class. The pretest was implemented to measure the science-related attitude, and the posttest was implemented to measure the science-related attitude, the academic achievement, and problem solving ability. The collected data were analyzed by ANCOVA and Correlation Analysis with SPSS program. The results are as follows: First, the experimental group was not significantly different from the control group in the science-related attitude and in the academic achievement(p>.05). Second, the experimental group significantly showed much better problem solving ability than the control group(p<.05). Third, a significant correlation was recognized between the academic achievement and the problem solving ability(p<.01).

• Journal of the Korean Society of School Health
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• v.18 no.2
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• pp.121-131
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• 2005

Purpose： This study examined the effects of cognitive-behavioral therapy on problem-solving ability and dysfunctional attitudes in undergraduate students. Method： This study was conducted between September 2004 and May 2005. The subjects consisted of 23 undergraduate students. The experimental group (n=13) participated in a cognitive-behavioral therapy that consist of 8 session over an 8-week period. The control group (n=10) participated in a reality therapy that also consisted of 8 sessions over an 8-week period. Problem-solving ability and dysfunctional attitudes were measured for all subjects before and after therapy. These data were analyzed by unpaired t-test and t-test with the SAS program. Results： Following cognitive-behavioral therapy, the experimental group experienced a significant decrease in score of problem-solving ability and in approach-avoidance style (the subscale in the problem-solving ability). There were no changes in these values after the reality therapy in control group. Conclusions： In light of these results, cognitive-behavioral therapy has a positive effect on problem-solving ability in undergraduate students.