• Journal of Korea Multimedia Society
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• v.22 no.9
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• pp.1080-1090
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• 2019

The digital informational era of the 21st century requires the fostering of human resource in the field of software with creativity and personality. This paper deals with the educating method in programming course for non-majors which fosters creativity for problem solving ability and personality using cooperative interaction to build communication ability. We also seek to build a model through DEVS methodology for creative problem solving and analyze the effects of programming education for the cultivation of creativity and personality. Our proposed model is expected to be used as a guide to establish creativity and personality for human resource cultivation in programming education.

• The Journal of Korean Association of Computer Education
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• v.13 no.3
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• pp.13-23
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• 2010

The revised 7th education course of information implies that students use variety of information devices to solve the common problems and it also includes the programming education for improving problem-solving abilities. Not only improving problem-solving abilities but also developing thinking skill is expected in programming education. However, traditional programming education is teacher-oriented and focused on language syntax. Accordingly, students have heavy cognitive load and it decrease students' interest of programming. Therefore, in this paper, a instructional method of programming using educational robot is proposed to improve interest of elementary students in concretive operation stage for effectiveness of programming education. Additionally, results of experiments show that proposed robot programming instructional method can be applied in elementary education.

• Journal of Engineering Education Research
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• v.18 no.4
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• pp.26-33
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• 2015

The purpose of this study is to microscopically analyze the problem solving activities in creative robotics making and programming activity in order to investigate the characteristics of team interaction in accordance with MBTI disposition of team members in the creative robotics making activity in which the engineering education has a lot interest in the recent years. For the prosecution of this study, teams composed of 2 students targeting 30 students who were at the related department of engineering education in the college of eduction, A university located in Daejeon were organized. In addition, individual propensities of team members, in other words, team dynamic structure and team interaction were analyzed through microscopical analysis of the problem solving activities in creative robotics making and programming activity. The results of this study showed that there was a static correlation between the organization of MBTI Heterogeneity team and the interaction of team members, and also there was a positive interaction of team members in organizing MBTI Homogeneity team in area of Thought (T) - Feeling (F). In addition, mutual complement to solve the problems was carried out and the problem-solving capability was shown in the course of the communication along with the organization of MBTI team of extreme heterogeneity.

• The Journal of Korean Association of Computer Education
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• v.22 no.3
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• pp.89-99
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• 2019

The purpose of this study is to develop and validate assessment tools and to analyze their applicability in problem solving programming education for college students of teacher training college. For this purpose, we have redefined the area of computational thinking and detail elements from the viewpoint of problem solving programming, and developed paper type inspection and self - report questionnaires to evaluate them. The reliability and validity were analyzed by applying the evaluation tool developed for the actual college students of teacher training college. Through this study, it was confirmed that the paper type inspection and self - report questionnaires developed in this study can be used as a tool to computational thinking assessment.

• The Journal of the Convergence on Culture Technology
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• v.4 no.4
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• pp.287-294
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• 2018

In this paper, it is practically difficult to obtain programming language education without having an algorithmic thinking ability, computing thinking ability, and problem solving ability of students with relatively low basic education. The results showed that students who took program language education in parallel with the EPL(Educational Programing Language), Scratch, compared to without using Scratch found to be helpful in improving their programming amd computing thinking ability, and problem-solving abilities as well as their satisfaction. This not only gave students confidence in their hard-thinking programming practices, but also helped prevent them from falling out of the middle.

• 한국정보교육학회:학술대회논문집
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• 2011.01a
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• pp.113-118
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• 2011

In this study, to improve creativity and problem solving skills of students we design the program using the programming Line-tracer(it can become the basis of robot-education) and the learning model is implemented. the result of applying was an important evaluation factors to algorithms and problem solving skills improvement.

• The Journal of Korean Association of Computer Education
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• v.22 no.6
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• pp.43-55
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• 2019

In the Fourth Industrial Revolution, a super-intelligent and super-connected society has arrived. Software is an important part of the core technologies of the Fourth Industrial Revolution. The ability to solve problems through software requires software education in that it is a core competency that everyone should have. Software education aims to improve Computational Thinking, which is the ability to solve problems through programming. Until now, most problem-solving programming learning models follow the traditional method of development: Waterfall model (Analysis-Design-Development-Test). In this model, if there is a problem in the preceding step, That could be found in the test phase. This takes a considerable amount of time and effort to find a solution to the problem and can be a burden on the programming learning. In this study, we proposed a Test-Driven Problem-Solving learning model using TDD (Test Driven Development) as Agile development method, and reviewed the appropriateness of the model through experts review. The verification results of the model showed positive evaluation results. In particular, the learning phase configuration of the model, helping in programming learning, helping of Computational Thinking improvement showed high rating, it is determined that there will be positive effects on Computational Thinking improvement through problem-solving programming learning when applying future learning.

• Journal of applied mathematics & informatics
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• v.24 no.1_2
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• pp.449-460
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• 2007

Several fuzzy approaches can be considered for solving multi-objective transportation problem. This paper presents a fuzzy goal programming approach to determine an optimal compromise solution for the multiobjective transportation problem. We assume that each objective function has a fuzzy goal. Also we assign a special type of nonlinear (hyperbolic) membership function to each objective function to describe each fuzzy goal. The approach focuses on minimizing the negative deviation variables from 1 to obtain a compromise solution of the multiobjective transportation problem. We show that the proposed method and the fuzzy programming method are equivalent. In addition, the proposed approach can be applied to solve other multiobjective mathematical programming problems. A numerical example is given to illustrate the efficiency of the proposed approach.

• Journal of the Korea Society of Computer and Information
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• v.24 no.9
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• pp.9-20
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• 2019

In this paper, we study the university timetabling problem, which consists of two subproblems, the university course timetabling problem and the examination timetabling problem. Given a set of classrooms, students, teachers, and lectures, the problem is to assign a number of courses (and examinations) to suitable timeslots and classrooms while satisfying the given set of constraints. We discuss the modeling and solution approaches to construct course and examination timetables for one of the largest Korean university. By using binary integer programming formulations, we describe these two complex real-world problems. Then, we propose a solution method, called NOGOOD, to solve the examination timetabling model. The computation results show that NOGOOD finds the optimal examination schedule for the given instance. Although we consider a specific instance of the university timetabling problem, the methods we use can be applicable to modeling and solving other timetabling problems.

• Journal of the Korea Society of Computer and Information
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• v.26 no.12
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• pp.29-43
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• 2021

In this paper, a new approach to solve the constrained dynamic programming is proposed by using the constraint programming. While the conventional dynamic programming scheme has the state space augmented with states on constraints, this approach, without state augmentation, represents states of constraints as domains in a contraining programming solver. It has a hybrid computational mechanism in its computation by combining solving the Bellman equation in the dynamic programming framework and exploiting the propagation and inference methods of the constraint programming. In order to portray the differences of the two approaches, this paper solves a simple version of the long-term car rental financing problem. In the conventional scheme, data structures for state on constraints are designed, and a simple inference borrowed from the constraint programming is used to the reduction of violation of constraints because no inference risks failure of a solution. In the hybrid approach, the architecture of interface of the dynamic programming solution method and the constraint programming solution method is shown. It finally discusses the advantages of the proposed method with the conventional method.