• Proceedings of the Korean Society of Computer Information Conference
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• 2013.01a
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• pp.153-155
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• 2013

퍼즐은 주어진 문제를 사람이 스스로 문제해결 알고리즘을 찾아내도록 한다. 이러한 퍼즐은 손으로 직접 조작하거나 텍스트를 통해 접할 수 있으며 흥미를 유발하고 논리적 사고력과 창의력을 개발하도록 한다는 장점이 있어 효과적인 교육을 위하여 종종 도입된다. 본 연구에서는 이러한 퍼즐 기반 학습을 교육에 적극적으로 도입하기 위하여 지금까지 연구된 퍼즐 기반 학습의 현황을 분석하고 퍼즐의 활용 방향을 제시하고자 하였다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2014.07a
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• pp.155-156
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• 2014

본 연구의 목적은 21세기 학습자가 반드시 갖추어야 할 컴퓨팅 사고력 향상을 위하여 컴퓨팅 사고력의 핵심 요소인 추상화에 집중할 수 있는 퍼즐 기반 학습을 설계하고자 한 데 있다. 이를 위하여 컴퓨팅 개념과 원리를 포함하는 퍼즐 문항을 개발하고 컴퓨팅 사고력의 문제 해결 요소 9가지를 기반으로 퍼즐 해결에 접근할 수 있는 수업을 설계하였다. 또한 교수학습을 위한 전략으로 학습자에게 성취감을 부여하는 성공의 경험, 다양한 난이도를 가진 퍼즐 문항 구성, 정답대신 해결 과정에 집중하는 교사태도를 제시하였다. 퍼즐 기반 학습은 학습자의 컴퓨팅 사고력 향상을 통해 앞으로 직면할 다양하고 복잡한 문제를 효과적이고 효율적인 해결하도록 할 것이다.

• The Journal of Korean Association of Computer Education
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• v.18 no.4
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• pp.1-9
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• 2015

Problem solving is essential skill for all students in the $21^{st}$ century. In particular, as the computing system ensures the effectiveness of problem solving in the various disciplines and real life, interest in learning algorithms to design a problem solving process is increasing. In order to improve problem solving skill, students should not only understand algorithm design skills but also apply appropriate skills to solve faced problem. In terms of these the puzzle can be considered a preferred learning tools to improve problem solving skill. Therefore, in this study we designed puzzled based algorithm learning and analyzed the impact of puzzle based algorithm learning on problem solving skills of leaners. As the results of research, we confirmed that the puzzled based algorithm learning took positive effect on enhancing problem solving skills of the learners.

• Journal of the Korea Society of Computer and Information
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• v.19 no.1
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• pp.191-201
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• 2014

The purpose of this study is to propose strategies of puzzle-based learning for Informatics gifted education through analyzing Informatics gifted elementary students' computational problem solving approaches in puzzle-based learning contexts. Six types of educational puzzles, which are constraints, optimization, probability, statistically speaking, pattern recognition, and strategy, were used in teaching 14 Informatics gifted students for 8 sessions. The results of pre and post test and each students' answers were analyzed to identify why students were not able to solve the puzzles. We also analysed what essential computational strategies are needed to solve each type of puzzles, and what students did not know in solving puzzle problems. We identified some problems caused by puzzle representation methods, and various students' intuitions that disturb puzzle solving. Also, we identified essential computational strategies to solve puzzles: backtracking, dynamic programming, abstraction, modeling, and reduction of big problem. However, students had difficulties in applying these strategies to solve their puzzle problems. We proposed the revised puzzle-based learning strategies, which is based on the improved problem representation, just-in-time cognitive feedbacks, and web-based learning system.

• The Journal of Korean Association of Computer Education
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• v.16 no.5
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• pp.9-16
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• 2013

Computational thinking is an ability to resolve problems that may be applied to the various real world problems and is regarded as the core of computer science. Computational thinking may be improved through experiences of analyzing problems and of selecting, applying, and modeling strategies appropriate for problem-solving. In order to enhance computational thinking of learners, it is important to provide experiences of solving various problems. This study designed puzzle based learning in order to educate learners principles of problem solving, let them have experiences of interest and insight, and provide them with problem solving experiences. The puzzle questions used for learning were classified into six types - constraints, optimization, probability, statistics, pattern recognition, and strategies. These questions were applied to Informatics gifted elementary students and, after their education, their computational thinking and problem solving inventory significantly improved.

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.07a
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• pp.165-166
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• 2019

본 논문은 기존의 강압적인 형태의 한글 교육 선행 학습이 아닌 창의적이고 입체적인 에듀테이먼트 교구인 블록 퍼즐과 아두이노를 이용한 명령 센서, 카메라 반사경을 통한 영상 입력을 통해 ICT 융합형 블록 퍼즐기반의 에듀테인먼트 교구를 설계하고자 한다. 즉, 모바일 콘텐츠를 통해 유아에게 교육을 제시하고 유아는 모바일 콘텐츠와 블록 퍼즐 교구, 명령 센서를 통해 입력 영상을 인식하게 한다. 이러한 블록 퍼즐 기반의 에듀테인먼트 교구를 통해서 한글 학습을 놀이 과정 속에서 창의력과 문제 해결 능력을 키울 뿐 만 아니라 스스로 학습을 이끌어가는 자기주도적 학습 능력을 키울 수 있을 것으로 기대한다.

• Journal of The Korean Association of Information Education
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• v.18 no.3
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• pp.391-400
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• 2014

In this study, we reviewed educational trend of Puzzle-Based Learning Contents and case studies at domestic and international, and have developed Puzzle-Based Learning Contents with the contents using fundamental concepts of computer science. Thirty one prospective elementary school teachers were applied to this contents, total thirty two sessions for four months, and Torrance Tests of Creative Thinking(TTCT) verbal and figural tests were performed to evaluate the changes in creativity. The result showed that there were significant improvements in two subscales of verbal creativity, verbal creativity index, and three subscales of figural creativity, figural creativity index. In this paper, on the basis of proven effectiveness, we introduce the Puzzle-Based Learning Contents as the alternative computer science education.

• Journal of the Korea Society of Computer and Information
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• v.20 no.5
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• pp.151-159
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• 2015

The algorithm in computer science includes skills to design a problem solving process for solving problems efficiently and effectively. Therefore all learners who learn computer science have to learn algorithm. Education for algorithm is effective when learners acquire skills to design algorithm as well as ability to use appropriate design skills solving problems. Especially since it is heightened people awareness to cultivating informatics gifted students who have potential of significant impact on society, many studies on how to teach them have been in progress. Therefore in this study we adopted puzzles to help informatics gifted students learn skills to design algorithm and how to use them to solve problems. The results of pre and post test compared to traditional algorithm learning, we identified that puzzled based algorithm learning gave a positive impact to students. Students had various problem solving experience applying algorithm design skills in puzzle based learning. As a result, students of learning and learning transfer has been improved.

• The Journal of Korean Association of Computer Education
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• v.11 no.6
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• pp.95-102
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• 2008

In this paper through the implementation of cooperative learning using SDG, education puzzle actually applies to computer training. SDG(Single Display Groupware) which one computer display have a multi-input devices can work as a collaborative system. Learners are performing together through SDG-based cooperative learning system. SDG cooperative learning with a multi-input device is superior to traditional learning with individual. We have implementation of the puzzle game with this fact. This system through effective education and raising their children's education participation rate will be able to do.

• Journal of Korea Game Society
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• v.20 no.3
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• pp.15-24
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• 2020

We present a reinforcement learning-based framework for generating 2D Lego puzzle from input pixel art images. We devise heuristics for a proper Lego puzzle as stability and efficiency. We also design a DQN structure and train it to maximize the heuristics of 2D Lego puzzle. In legorization stage, we complete the layout of Lego puzzle by adding a Lego brick to the input image using the trained DQN. During this process, we devise a region of interest to reduce the computational loads of the legorization. Using this approach, our framework can present a very high resolutional Lego puzzle.