• The Journal of Korean Association of Computer Education
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• v.23 no.3
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• pp.41-47
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• 2020

Computational Thinking(CT) is drawing attention as a core competency required for future talent in the 21st century. Software education for improving CT ability at home and abroad is in full swing. Among them, problem-solving programming education helps to improve CT ability. The CT-TDPS learning model follows the decomposition, abstraction thinking process, which modularizes complex problems, and the Agile development method, which is an iterative and incremental programming method to implement it. In this study, we tried to confirm the improvement of CT ability by applying CT-TDPS learning model to problem solving programming education using Scratch. As a result of the study, it was confirmed that in the problem solving programming education using the CT-TDPS learning model, it improved in all aspects of computing concept, computing performance, and computing perspective, which are sub-factors of CT ability. In addition, it was confirmed that there was a significant difference in the experimental group as a result of the t-test on the Dr.Scratch automatic evaluation result.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.05a
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• pp.601-603
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• 2018

Studies are under way to understand how the brain learns and how it works most effectively through the development of brain science. The purpose of this study is to apply brain - based learning principles as a way to effectively overcome the characteristics of the programming lesson and the difficulties that arise during the practice. In other words, by applying the brain-based learning principle appropriate to the characteristics of the Android programming class, the teaching and learning is designed so that the learner can effectively learn the programming.

• International Journal of Control, Automation, and Systems
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• v.2 no.3
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• pp.263-278
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• 2004

This paper reviews dynamic programming (DP), surveys approximate solution methods for it, and considers their applicability to process control problems. Reinforcement Learning (RL) and Neuro-Dynamic Programming (NDP), which can be viewed as approximate DP techniques, are already established techniques for solving difficult multi-stage decision problems in the fields of operations research, computer science, and robotics. Owing to the significant disparity of problem formulations and objective, however, the algorithms and techniques available from these fields are not directly applicable to process control problems, and reformulations based on accurate understanding of these techniques are needed. We categorize the currently available approximate solution techniques fur dynamic programming and identify those most suitable for process control problems. Several open issues are also identified and discussed.

• Korean Journal of Computational Design and Engineering
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• v.14 no.6
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• pp.382-389
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• 2009

Recently, knowledge management has been required in companies as a tool of competitiveness. Companies have constructed Enterprise Resource Planning(ERP) system in order to manage huge knowledge. But, it is not easy to formalize knowledge in organization. We focused on data mining system by genetic programming(GP). Data mining system by genetic programming can be useful tools to derive and extract the necessary information and knowledge from the huge accumulated data. However when we don't have enough amounts of data to perform the learning process of genetic programming, we have to reduce input parameter(s) or increase number of learning or training data. In this study, an enhanced data mining method combining Genetic Programming with Self organizing map, that reduces the number of input parameters, is suggested. Experiment results through a prototype implementation are also discussed.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.635-637
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• 2016

The purpose of this study was to apply other programming tools such as robots parish. The robot was utilized for Lego Mindstorms NXT. Programming tools were used to block generic programming tools were used in the NXT-G, was used as a simulation programming tools MSRDS, mobile App Inventor is a programming tool (App Inventor). It can lead to interesting effects of learning and learning based on three programming tool above.

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.01a
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• pp.127-128
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• 2019

컴퓨터 프로그래밍 수업에 참여하는 학습자들에게 성찰일지를 활용하여 수업에서 배운 내용을 즉시 복습하고 교수자와의 1:1 질의 응답 활동을 진행한 결과, 성찰일지를 통해 가장 도움이 받은 학습 영역과 얻은 학습 성과가 무엇인지 학습자 설문을 통해 조사하고 분석해보았다. 이 연구를 통해 프로그래밍 학습자들을 위해 효과적인 학습 활동을 지원함으로써 난이도가 높은 프로그래밍 수업에서 발생하는 학습자들의 학습 능력 차이를 줄이고 학습 만족도를 높일 수 있을 것으로 기대된다.

• The Journal of Korean Association of Computer Education
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• v.18 no.5
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• pp.1-13
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• 2015

In recent domestic and international curriculum it is emphasized that students should acquire 'problem solving' competence as a member of knowledge information society and various programming educational methods of improving problem solving competence have been studied. But there is no difference between programming problems in related research and traditional programming courses. Most methods of solving problems are focused on acquiring specific languages rather than enhancing problem solving ability. In this research, we developed a suitable programming problems and curriculum for fostering problem solving competence and designed and developed teaching and learning contents based on PSA(Problem Solving Activities). Furthermore, we obtained meaningful results of improving learners' problem solving ability and logical thinking ability by operating curriculum with developed contents as learning materials. The results of this research are expected to be used as a reference model or basic teaching materials for developing and operating the programming teaching and learning contents or curriculum to enhance problem solving competence.

• Journal of the Korea Society of Computer and Information
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• v.21 no.7
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• pp.93-100
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• 2016

This paper shows what kind of influence the learning motivation factors have on the effectiveness of Flipped Learning Model through the case of operating a JAVA programming subject. The Flipped Learning Approach consisting of Before Class, Before or At Start of Class, and In Class provides the students with learning motivation as well as satisfies Keller's ARCS(Attention, Relevance, Confidence, Satisfaction) to keep them studying steadily. This research conducts the operation of Flipped Learning and gets Exploratory Factor Analysis and Reliability Analysis from the result of the course experience questionnaire at the end of the class. Given this survey result, Flipped Learning approach improves the learners' satisfaction in class and the effectiveness in the fields of understanding learning context more than does the previous lecture-based learning approach by pacing learning procedure and conducting self-directed learning.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.1
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• pp.165-172
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• 2017

Recently, many supports about the education linked with industrial field have been provided in technical specialized high schools. In order to keep pace with the global trend to emphasize software education and to move away from traditional grammar-based programming learning, various physical computing tools have been used in the education fields. For this study, we conducted a programming class using Raspberry Pi for technical high school students. In the class, students were instructed to produce actual results based on the knowledge they had learned. Project-based learning was used to help students create products and thus they performed tasks while discussing and collaborating on a team-by-team basis. In particular, self-regulation learning strategies were considered to provide effective project-based instruction. After the class, we interviewed the students' satisfaction with it. The results showed that the students' satisfaction was high, and the fellow teachers also had a lot of possibilities and expectations about the programming instruction and project-based learning using Raspberry Pi.

• The Journal of Korean Association of Computer Education
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• v.9 no.1
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• pp.49-59
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• 2006

Traditional programming education lacked consideration of contents, methods and learners. In particular, the importance of programming education has been decreased in school because almost no suitable teaching has been executed for elementary school students. To solve these problems, this study proposed the use of MINDSTORMS that is a programming education tool suitable for elementary school students, and verified its effects on learners' creativity. The results of this study show that the tool is highly effective in improving students' creativity. The objectives of programming education are not only learning programming languages but also improving problem-solving ability, logical thinking and creativity. We must offer environment, in which students can control their own learning activity and solve problems by themselves. In addition, MINDSTORMS can be a very useful and suitable tool for programming education.