• Journal of The Korean Association For Science Education
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• v.17 no.2
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• pp.201-207
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• 1997

This study was performed to survey the achievements in problem solving by the inquiring experiment, which was done by the superior group in the traditional cocepts-centered written tests. The purpose of this study was to identify characteristics of inquiring experimental assessment by analyzing differences between concepts-centered written and inquiring experimental tests. The subjects of this study was 211 applicants. They are the superior group of the 9th grade students, and score in the top 1% of total achievements percentage in school. They also have passed the primary entrance examination. The inquiring experimental test was developed according to the curriculum in school, and is composed of 5 subcategories: problem-perception and formulating hypothesis, designing an experiment, carring out an experiment, recording data and drawing conculsion, and generalizing conculsions and communicaton. The checklists of each subcategory were made and testing methods were divided into observation and report. The major results of this study are as follows: 1. The achievements in each subcategory of inquiring experimental performance were very low in the superior group who took the concepts-centered written tests. 2. The results of factor and correlation analyses in this study confirmed the abilities measured by inquiring experimental assessment differed from abilities measured by existing tests. These results indicated that even students who achieved high in scientific knowledge, these abilities were not automatically transformed inquiry process which many other abilities were integrated into. Therefore, problem solving ability requires integrated abilities which are fostered by inquiring experimental tasks. This suggests that new instrument for assessment must be developed to measure integrating ability especially where scientifically gifted students are selected, or where entrance examinations to the science schools are administered.

• Journal of The Korean Association of Information Education
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• v.10 no.2
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• pp.229-239
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• 2006

The present study analyzed the effects of Problem-Based Learning (PBL), founded on the constructivist theory, on the problem solving process and computer application ability as to students' level in elementary computer education. According to the PBL model, developed on the basis of previous research and the purpose of the study, the area of 'application of software' in third-grade computer curriculum was redesigned for the three-week period of the experiment. The results of the analyses showed that problem-based learning tended to exert differential effects with regard to students' level on the problem-solving process and computer application ability in computer education. The implications of the study and suggestions for the future study were discussed.

• Journal of Korean Elementary Science Education
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• v.25 no.1
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• pp.27-38
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• 2006

The purpose of this study was to develop a test of a creative problem solving (CPS) for the selection of gifted science students in elementary school. For this, the methods and procedures of the selection of gifted science students was investigated through the internet homepages 23 gifted science education centers of universities and 16 city. province offices of education. The results of this study were as follows: Most of the gifted science students were selected through a multi-step examination process. They were selected on the basis of their records by recommendation of a principal or a classroom teacher in their school, by operation of standardized tests (ex. intelligence quotient score, achievements in science and mathematics, interest and attitude/aptitude for science as well as through other means), as well as through intensive observation of those gifted science students who are selected by interview and oral tests. The selection of gifted students was not evaluated through creativity testing; giftedness in city. province office of education. Testing of CPS was found to be especially lacking in these organizations. For the development of the test items of CPS in science, the five elements were extracted through the framework for the content analysis of the CPS: problem exploration, problem statement, solution thinking, experiment design, and assesment. In addition, suggestions were made regarding an appropriate scoring system for the test of the CPS. As the result of the developed test was applied to the 4th grade of the gifted and general student, we found that gifted students were superior to general students. In conclusion, it was that the CPS test developed in this study should be used to evaluate the CPS for the selection of gifted students.

• The Journal of Information Systems
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• v.25 no.1
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• pp.159-182
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• 2016

Purpose This paper aims to develop a novel tabu search algorithm for solving the sequencing problems with precedence constraints. Due to constraints, the traditional meta heuristic methods can generate infeasible solutions during search procedure, which must be carefully dealt with. On the contrary, the candidate order based tabu search (COTS) is based on a novel neighborhood structure that guarantees the feasibility of solutions, and can dealt with a wide range of sequencing problems in flexible manner. Design/methodology/approach Candidate order scheme is a strategy for constructing a feasible sequence by iteratively appending an item at a time, and it has been successfully applied to genetic algorithm. The primary benefit of the candidate order scheme is that it can effectively deal with the additional constraints of sequencing problems and always generates the feasible solutions. In this paper, the candidate order scheme is used to design the neighborhood structure, tabu list and diversification operation of tabu search. Findings The COTS has been applied to the single machine job sequencing problems, and we can see that COTS can find the good solutions whether additional constraints exist or not. Especially, the experiment results reveal that the COTS is a promising approach for solving the sequencing problems with precedence constraints. In addition, the operations of COTS are intuitive and easy to understand, and it is expected that this paper will provide useful insights into the sequencing problems to the practitioners.

• Journal of The Korean Association For Science Education
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• v.30 no.8
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• pp.988-1001
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• 2010

The purpose of this research was to investigate how the peer review activity of lab report in the problem-solving experiment effected on the description ability and the quality improvement. The students who were taking the general chemistry experiment course were the subjects for this study. They finished lab reports and received peer review from their peers more than two times. The students who got feedback answered on peer review, revised their reports, and subsequently, completed final reports. The result showed that peer review affected the qualitative improvement of the lab report, specially in the process of 'designing experiment' and 'drawing conclusion and evaluation'. Students could organize their thoughts through writing lab reports. During this process, peer review activities provided the opportunity of self-examination and the way for viewing as objective standpoint. Moreover, the activities established communication fields for exchanging mutual opinions and learning.

• Journal of the Korean Operations Research and Management Science Society
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• v.41 no.3
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• pp.75-96
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• 2016

This paper investigates the usefulness of drones in an urban delivery system. We define the vehicle and drone routing problem with time window (VDRPTW) and present a model that can describe a dual mode delivery system consisting of drones and vehicles in the metropolitan area. Drones are relatively free from traffic congestion but have limited flight range and capacity. Vehicles are not free from traffic congestion, and the complexity of urban road network reduces the efficiency of vehicles. Using drones and vehicles together can reduce inefficiency of the urban delivery system because of their complementary cooperation. In this paper, we assume that drones operate in a point-to-point manner between the depot and customers, and that customers in the need of fast delivery are willing to pay additional charges. For the experiment datasets, we use instances of Solomon (1987), which are well known in the Vehicle Routing Problem society. Moreover, to mirror the urban logistics demand trend, customers who want fast delivery are added to the Solomon's instances. We propose a hybrid evolutionary algorithm for solving VDRPTW. The experiment results provide different useful insights according to the geographical distributions of customers. In the instances where customers are randomly located and in instances where some customers are randomly located while others form some clusters, the dual mode delivery system displays lower total cost and higher customer satisfaction. In instances with clustered customers, the dual mode delivery system exhibits narrow competition for the total cost with the delivery system that uses only vehicles. In this case, using drones and vehicles together can reduce the level of dissatisfaction of customers who take their cargo over the time-window. From the view point of strategic flexibility, the dual mode delivery system appears to be more interesting. In meeting the objective of maximizing customer satisfaction, the use of drones and vehicles incurs less cost and requires fewer resources.

• KIPS Transactions on Software and Data Engineering
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• v.12 no.4
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• pp.159-172
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• 2023

In general, social problem-solving research aims to create important social value by offering meaningful answers to various social pending issues using scientific technologies. Not surprisingly, however, although numerous and extensive research attempts have been made to alleviate the social problems and issues in nation-wide, we still have many important social challenges and works to be done. In order to facilitate the entire process of the social problem-solving research and maximize its efficacy, it is vital to clearly identify and grasp the important and pressing problems to be focused upon. It is understandable for the problem discovery step to be drastically improved if current social issues can be automatically identified from existing R&D resources such as technical reports and articles. This paper introduces a comprehensive dataset which is essential to build a machine learning model for automatically detecting the social problems and solutions in various national research reports. Initially, we collected a total of 700 research reports regarding social problems and issues. Through intensive annotation process, we built totally 24,022 sentences each of which possesses its own category or label closely related to social problem-solving such as problems, purposes, solutions, effects and so on. Furthermore, we implemented four sentence classification models based on various neural language models and conducted a series of performance experiments using our dataset. As a result of the experiment, the model fine-tuned to the KLUE-BERT pre-trained language model showed the best performance with an accuracy of 75.853% and an F1 score of 63.503%.

• The Mathematical Education
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• v.49 no.1
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• pp.39-51
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• 2010

The purpose of this article is to study students' responses to non-routine problems which are presented by using solely numerals or symbolic figures. Such figures have no mathematical meaning but just symbolical meaning. Most students understand geometric figures more concrete objects than numerals because geometric figures such as circles and squares can be visualized by the manipulatives in real life. And since students need not consider (unvisible) any operational structure of numerals when they deal with (visible) figures, problems proposed using figures are considered relatively easier to them than those proposed using numerals. Under this assumption, we analyze students' problem solving processes of numeral problems and figural problems, and then find out when students' difficulties arise in the problem solving process and how they response when they feel difficulties. From this experiment, we will suggest several comments which would be considered in the development and application of both numerical and figural problems.

• Management & Information Systems Review
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• v.5
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• pp.33-59
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• 2000

Problem definition is as important as problem solving in decision making. Decision makers, however, tend to see problem partly or to define it unclearly. The researchers on decision making tend to lay a focus only on the Process of solving the given problem. This dissertation empirically studied the Problem diagnosis and definition in the decision making process. This study developed three kinds of DSS(Decision Support System) for the research and analyzed the effectiveness of the problem diagnosis and definition using DSS developed in this study. The three kinds of DSS are K-T(Kennel and Tregoe) DSS which is a method of table-styled information Presentation, and F-N(Fact-Net) DSS and C-E(Cause and Effect) DSS which are methods of graphic-styled information presentation. The empirical study was conducted twice; the pilot test and the main test. The samples of experiment are 218 students for the pilot test and 259 students for the main test. The author used K-T DSS and F-N DSS for the pilot test, and the revised K-T DSS and C-E DSS for the main test. A questionnaire survey method was included in the main test process The result of the study shows that the group using DSS in problem diagnosis and definition is more effective than the group not using DSS. A table-styled information presentation DSS, K-T, turns out more effective than a graphic-styled information presentation DSS, F-N, K-T DSS and C-E DSS showed no significant differences in the effectiveness in the main test. These results indicate that the use of DSS in the stage of problem diagnosis and definition is very effective and the methods and types of system design are a significant factors for DSS development.

• Journal of Christian Education in Korea
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• v.64
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• pp.347-368
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• 2020

The purpose of this study was explored the effect of Flipped PBL on Communication and Problem Solving skill of University students. For study, students in the college of education at A University and S University located in Gyeonggi-do were set up 60 students. They majored in Christian education and early childhood education, and the level of education was similar in the same region and department. In the experiment, the comparison group and the experimental group were separated, and data were collected through pre-test before class and post-test after class, followed by analysis covariance(ANCOVA). Between the comparative group performing flipped learning and the experimental group performing flipped PBL, the problem solving ability and communication ability using the flipped PBL averaged 4.28 and the communication ability averaged 4.06. As a result, it was higher than each of the comparison groups, confirming that it had a significant effect. This will be able to present a flipped PBL class design as an alternative method to overcome the limitations of the existing flip learning in a changing classroom situation and to improve the communication and problem solving ability of the learner.