• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.6
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• pp.2497-2503
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• 2012

In this study an educational robot for programming education was designed and implemented. The robot in this study is composed of hardware containing a sensor, a processor, and a motor driver circuit, software to control the educational robot, machine parts to manufacture the robot structure, and a teaching material containing educational contents and the manufacturing manual. This robot is characterized by direct programming without a computer, which gives no spatial restrictions on robot education and enables dynamic program education beyond limitations of the existing static computer program education since students' programming results are found in the robot's movements. User-centered functional commands, which make it possible to control the robot with simple knowledge concerning hardware and basic commands, were used to enable even students who first accessed a robot or computer program to make access with ease.

• The Journal of Korean Association of Computer Education
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• v.23 no.4
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• pp.35-47
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• 2020

The purpose of this study is to provide a guideline for the programming beginners, including SW non-majors, to reduce the difficulty of establishing procedures for solving problems and to refine the work process properly in a computing environment. To accomplish this, we derive the unfolding types of typical procedures that can unfold the working procedures typically implied in daily operation in terms of recognition(input)-judgment(processing)-behavior(output). Through learning to unfold the procedure for each type, it was confirmed that the learner define the scope and rules of the problem himself and extended the procedure implied in any action. The unfolding model of the procedure developed in this study can be used as a tool for constructing a procedure operable in a computing environment to solve problems in the early stages of programming learning for non-majors or beginners.

• 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.

• Journal of the Korea Society of Computer and Information
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• v.25 no.5
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• pp.229-241
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• 2020

In this study, we developed a test tool to measure the computational thinking ability of middle school students and investigated their computational thinking power using the tool. The test tool used exploratory factor analysis to examine the computational thinking scales of Korkmaz et al. (2017) and derive suitable factors and questions for middle school students in Korea. The developed test tool was applied to 492 middle school students to analyze differences in computational thinking ability according to gender, grade, programming experience, type of programming language, and interest. According to the study, male Korean middle school students had higher computing power than females. In addition, students who had programming experience or used text-based rather than block-based programming languages demonstrated higher computational thinking. There was no significant difference in the computational thinking of middle school students according to grade, and the level of interest in artificial intelligence only had a slight influence on computational thinking.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.450-452
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• 2021

Recently, as interest in programming and artificial intelligence has increased, software education has been compulsory from elementary school. In order to achieve this goal of programming education, it is necessary to basically establish a lab environment suitable for students and teachers. However, there is a problem with performance problems caused by old computers in the lab environment of the school, and there is a problem that students must purchase and use the existing online platform while implementing an algorithm contest program in which students access and evaluate their problem-solving ability at the same time. Therefore, in this paper, to solve this problem, we propose a web-based online practice environment and algorithm contest scoring system using React and Spring boot. Through this, it is believed that even in a computer with low specifications, programming can be studied using only a web browser.

• The Journal of Korean Association of Computer Education
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• v.12 no.4
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• pp.1-11
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• 2009

There are several studies in order to learn about programming language. This paper develops a peer agent system based on teaching and learning strategies in order to improve problem-solving ability. Problem-solving ability involves three components - content understanding, domain-dependent problem-solving strategies, and self-regulation. This paper shows the teaching and learning strategies about components of problem-solving for learning to program and the peer agent system uses the teaching and learning strategies. This study intents to analyze the educational effects of the peer agent system. The results show that the system has superior effects on problem-solving ability compared to traditional programming courses or pair programming courses. It means that the peer agent system is the effective educational system in improving student's problem-solving ability.

• The Journal of Korean Association of Computer Education
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• v.12 no.6
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• pp.11-19
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• 2009

In the knowledge-information-oriented society, it is difficult for students to solve lots of problems or adapt themselves to society just by using simple knowledge. Students have to develop individual problem solving ability and creative, logical thinking ability. They can develope these abilities by learning computer programming. This thesis studies the influences of a flow-chart learning on the logical thinking ability in Scratch using programming learning. The findings identify that the making algorithm by using flow-chart is more effective in developing logical thinking ability then the making algorithm by using pseudo-code.

• The Journal of the Korea institute of electronic communication sciences
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• v.18 no.5
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• pp.901-910
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• 2023

In universities, programming language-based thinking and software education for non-majors are being implemented to cultivate creative and convergent talent capable of leading the digital convergence era in line with the Fourth Industrial Revolution. However, learners face difficulties in acquiring the unfamiliar syntax and programming languages. The purpose of this study is to propose a software education model to alleviate the challenges faced by non-major students during the learning process. By introducing algorithm techniques and diagram techniques based on programming language thinking and using the EZMKER kit as an instructional model, this study aims to overcome the lack of learning about programming languages and syntax. Consequently, a structured software education model has been designed and implemented as a top-down system learning model.

• The Journal of Korean Association of Computer Education
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• v.17 no.5
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• pp.1-13
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• 2014

Programming education helps learners solve real world problems by applying the principles of computer science. In particular, in the case of object-oriented programming centered around objects or problems that are observed in the real world, learners are able to make the most use of their programming skills in real life. Therefore, in this study, we sought ways to have learners grasp object-oriented concepts in a learner-friendly manner. To this end we conducted an experiment with six students as participants. As a result we could derive two main points. First, the learning tools which can be easily used by learners are required. Second, it is necessary to think thoroughly to learn concepts before implementation of the programming. This study has significance in the sense that it provides a learning method which helps a novice learner to learn the object-oriented programming that he or she feels difficulty to understand.

• The Journal of Korean Association of Computer Education
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• v.12 no.4
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• pp.13-21
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• 2009

Educational robots have various potentialities to support programming learners because it is interesting enough to improve the learners' participation and motivation. Nonetheless, some researches assert that the use of educational robot does not necessarily lead to effective and successful learning. With respect to these serious problems, the researchers are emphasizing that it is needed to overcome the probable 'Novelty Effect' by means of considering specific features of the robot programming environment and the participants. We analyzed and found some features of robot programming teaching and learning environment and professional high school students through reviewing of the literatures, and then conducted delphi research to abstract motivational strategies and to develop their applying methods with the specific features. We developed a robot programming teaching and learning model for stimulating and maintaining professional high school student's motivation, which includes 5 factors and 21 strategies.