• The Journal of Korean Association of Computer Education
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• v.14 no.1
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• pp.13-21
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• 2011

The purpose in this paper is to provide the theoretical framework of characteristics of programming thinking processes in computational literacy education. That is, we developed the theoretical framework through analyzing novices' cognitive thinking processes, applied it to the real situation about computational literacy problem-solving processes and defined characteristics of the processes. For this purpose, we tried to analyze characteristics of programming thinking processes of novices by using think-aloud method. Also we developed the programming process code about novices' cognitive processes and programming processes, and analyzed the process that novice faced and overcame programming barriers by using qualitative research tool, Nvivo. As a result, we found what characteristics of programming problem-solving processes were and how novices used the thinking skill in the process. This study contributes to understand programming problem-solving processes and provides the criterion to analyze the processes scientifically.

• Journal of Engineering Education Research
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• v.5 no.2
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• pp.10-21
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• 2002

In the knowledge based society, the development of creative human resources is one of the core factors for securing a national competition power. Especially in the software industries, the development of human resources who can solve a problem creatively by applying object oriented programming technique which is a update Programming technology is required. In this paper, we designed a lecture plan and produced it into a course contents which could be run on a online learning system. The teaching focuses of the developed course are the development of problem solving ability and object oriented design and programming ability through Java.

• Journal of The Korean Association of Information Education
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• v.15 no.3
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• pp.375-385
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• 2011

Computer education is moving its focus from skill oriented education to improving students' creativity and problem solving ability. Thus, the importance of programming education is being strengthened. However, programming education was biased to grammar oriented language that has been limits of students' interest. Robot programming is problem solving itself, and by allowing students to directly see the robot which is the output of programming, can help interest and motivate to the students. In fact, it is still observed that the students are facing difficulties due to various kinds of errors during the programming education. Therefore, this study categorizes and analyzes the errors students are facing during robot programming, and based on that, a support tool to help treat errors developed. The developed supporting system for error solving reduces the frequency of errors and provides the set of coding instruction, NXC language and error message in Korean, examples and detailed information for each stage of education, function removing major coding errors, and code sorting and indication of row number. This study also confirmed that the supporting tool is helpful in reducing and solving errors after input.

• 제어로봇시스템학회:학술대회논문집
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• 1993.10a
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• pp.1095-1098
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• 1993

This paper presents linear programming neural networks for job-shop scheduling. The starting times of tasks and constraints are formulated as the linear programming problem. A modified Hopfield neural network is proposed for solving job-shop scheduling.

• The Journal of Korean Association of Computer Education
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• v.12 no.3
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• pp.11-22
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• 2009

Scratch, one of the educational programming languages, provides a media-rich programming environment and easy interface to users. It supports Korean language and is utilized usefully in programming classes in elementary and middle schools. However, programming causes cognitive loads to young students. Because the programming process is a complex problem solving procedure that requires logical and abstract thinking abilities. Therefore, we developed a problem based scratch programming teaching and learning model to enhance intrinsic motivation of learners and to maximize the effects of using the scratch, educational programming language. The developed problem based teaching and learning model considered elementary students' characteristics. It was implemented in fifth grade elementary school classes and the educational effects of the model was analysed. The developed model was helpful in enhancing students' problem solving potential and logical thinking abilities.

• Journal of applied mathematics & informatics
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• v.9 no.2
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• pp.717-730
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• 2002

In this paper we use measure theory to solve a wide range of the nonlinear programming problems. First, we transform a nonlinear programming problem to a classical optimal control problem with no restriction on states and controls. The new problem is modified into one consisting of the minimization of a special linear functional over a set of Radon measures; then we obtain an optimal measure corresponding to functional problem which is then approximated by a finite combination of atomic measures and the problem converted approximately to a finite-dimensional linear programming. Then by the solution of the linear programming problem we obtain the approximate optimal control and then, by the solution of the latter problem we obtain an approximate solution for the original problem. Furthermore, we obtain the path from the initial point to the admissible solution.

• The Journal of Korean Association of Computer Education
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• v.14 no.2
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• pp.23-32
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• 2011

The Internet is appearing a new paradigm called Web 2.0 which 'Participation', 'Sharing', 'Openness', 'Cooperation'. Web 2.0 is expanded by experts and general users and many people's ideas can solve more problems than an expert's idea. The collective intelligence is techniques that express the valuable of Web 2.0. For this reason, the collective intelligence has attracted attention because of its potential as an educational tool. The purpose of this study is to develop a PBL-based programming instruction model using collective intelligence to improve students' problem solving abilities and programming attitudes and verified its effectiveness. As a result, the developed instruction model showed significant differences in the students' problem solving abilities and programming attitudes. According to these results, these have been proved that a PBL-based programming instruction model using collective intelligence has an influence to the students' problem solving abilities and programming attitudes.

• The Journal of Korean Association of Computer Education
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• v.17 no.5
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• pp.15-24
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• 2014

It has been reported that programming education has a positive effect on 'improvement of problem solving skills' within the domain of information subject. Improvement of problem solving skills through education programming was confirmed through various variables, such as gender and programming method. This study aims to investigate the proper programming method of each learner by dividing the characteristics of learners according to their characteristics. To achieve our goal, we chose 62 S high school students enrolled in a programming class as the subjects of our study. The results of this study conveyed that project preference and gender can affect the achievement of the individual, whereas programming experience can affect the achievement of the team. This study provides suggestions of how to pursue a programming class according to learner characteristics as well as indicate which characteristics we should take into account.

• Journal of Ocean Engineering and Technology
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• v.29 no.3
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• pp.263-269
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• 2015

This paper proposes a new approach for solving the weather routing problem by dividing it into two phases with the goal of fuel saving. The problem is to decide two optimal variables: the heading angle and speed of the ship under several constraints. In the first phase, the optimal route is obtained using the Real-Time Adaptive A* algorithm with a fixed ship speed. In other words, only the heading angle is decided. The second phase is the speed scheduling phase. In this phase, the original problem, which is a nonlinear optimization problem, is converted into a geometric programming problem. By solving this geometric programming problem, which is a convex optimization problem, we can obtain an optimal speed scheduling solution very efficiently. A simple case of numerical simulation is conducted in order to validate the proposed method, and the results show that the proposed method can save fuel compared to a constant engine output voyage and constant speed voyage.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.19 no.40
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• pp.137-142
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• 1996

An algorithm for solving the cardinality constrained linear programming knapsack problem is presented. The algorithm has a convenient structure for a branch-and-bound approach to the integer version, especially to the 0-1 collapsing knapsack problem. A numerical example is given.