• 대한공업교육학회지
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• v.33 no.2
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• pp.120-136
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• 2008

Using the tangible programming tools, which combines physical objects (e.g. robot) and educational programming language, may help to encourage learners' creative thinking as well as to enhance problem solving ability. That is, learners can have opportunities to simulate problem solving processes through the physical objects, such as robots. Therefore, they can minimize an fixation about problem solving process. These experience is effective to induce creative thinking that is useful to find new solutions and change environment actively. Therefore, we developed a robot based programming teaching and learning curriculum and implemented it in college level introductory programming courses. The result shows that the robot based programming learning has a positive effect in all three factors of learners' creative problem solving potential, especially in a cognitive factor. The cognitive factor includes general problem solving abilities as well as factors that explain creativity, such as divergent thinking, problem recognition, problem representation. These result means that the developed robot based programming teaching and learning curriculum give positive effect to creative problem solving abilities.

• Journal of Internet Computing and Services
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• v.20 no.4
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• pp.81-90
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• 2019

Since 2015, the government has been striving to strengthen the software capabilities required for future talent through software-oriented university in Korea. In the university selected as a software-oriented university, basic software education is given to all departments such as humanities, social science, engineering, natural science, arts and the sports within the university in order to foster convergent human resources with different knowledge and software literacy. In this paper, we analyze the contents of basic software education for twenty universities selected as software-oriented universities. As a result of analysis, most of the basic software education which is carried out to the students of the non-majors students was aimed at improvement of problem solving ability centered on computational thinking for future society and improvement of convergence ability based on computer science. It uses block-based educational programming language and text-based advanced programming language to adjust the difficulty of programming contents and contents reflecting characteristics of each major. Problem-based learning, project-based learning, and discussion method were used as the teaching and learning methods for problem solving. In the future, this paper will help to establish the systematic direction for basic software education of non-majors students.

• 한국정보교육학회:학술대회논문집
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• 2021.08a
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• pp.131-139
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• 2021

In the newly revised curriculum, it is aimed to raise student who has creativity and convergence ability with computational thinking. Based on the analysis of revised curriculum including software education in elementary school, this study proposed educational program that can be applied in actual school field, considering various factors. This educational program using Bitbrick was conducted by 50 students in fifth grade that consist of 23 students in Seoul and 27 students in Gyeonggido during five weeks in 17 periods. The purpose of this study is to verify the effect of application of software education program in terms of computational thinking ability and problem solving ability. The effect was verified after comparing the result of pre-test and post-test through T-test. So, this study obtained improvement of computational thinking and problem solving ability.

• Journal of The Korean Association of Information Education
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• v.21 no.4
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• pp.463-474
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• 2017

Software integration becomes very important in these days. Since the 4th industrial revolution has begun and influences its heavy effects on our daily life, software education has been introduced in the 2015 national revised curriculum. The purpose of this study is to verify the effects of a mobile web application for the elementary algorithm class based on STEAM on the problem solving process of elementary school students. To do so, in this study we constructed an algorithm learning contents based on STEAM for new software education and developed a mobile web application for flipped learning to improve their problem solving ability. Further, an experimental group and a controlled group are selected respectively from the 5th grade elementary school students. Then, a new flipped learning class using our mobile materials was applied to the experimental group while a traditional lecture class using the activity papers was applied to the controlled group. Finally the paired samples t-tests were carried out. As a result, we found that there was a statistically significant difference in problem solving process between the two groups. Based on our experimental research and the results of statistical analysis, the mobile web application class based on STEAM turned out to be effective in improving the problem solving ability of elementary school students.

• Journal of The Korean Association of Information Education
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• v.11 no.1
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• pp.29-38
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• 2007

Computer programming in computer education draws much attention recently. Encouraged by the increased tendency of acquiring logical ability and creativity through learning, various attempts have been made to develop them through learning computer programming in the area of computer education as well. The fact that a computer program is the representation of a computer algorithm expressed in a computer language makes us realize that the devise of a logical method for a solution - i.e., the design of an algorithm - is the key to the solution of a problem. Recognizing the importance of computer algorithm would lead us to such a point that systematic investigations for directional establishment for algorithm education are necessary. We observe that researches on teaching computer algorithm have concentrated mostly on specific problems such as sorting and searching, which can be characterized as problem-dependent and individual. In this paper, the idea of conceptual algorithm is stated from the standpoint of conceptual types of problem-solving methods which are considered as problem-independent and collective. A novice approach to algorithm education based on the characteristics of types of conceptual algorithms is proposed for the purpose of developing systematic, problem-independent, algorithmic problem-solving capabilities of learners, which is widely different from the current methods of individual and problem-dependent algorithm education.

• Journal of Digital Contents Society
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• v.18 no.7
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• pp.1313-1321
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• 2017

In the future society where ICT-based digital convergence creates new value, collaborative skills among experts in various fields and SW based problem solving ability is more emphasized. Non-SW specialists are required to have SW based communication skills to effectively collaborate with SW experts to solve their problems. Therefore, SW programming curriculum for non-major college students should be different from the existing programming education for SW-majors aiming at a high level of coding ability. It is also known that diagram-based visual representation is helpful for productive communication and collaboration. In this study, we defined the SW education objectives for the non-majors as cultivating the visual programming ability for SW based problem solving. In order to accomplish this, we explored SW programming curriculum and content development model for non-majors focusing on visual representation of SW solutions. The results of this paper will help to provide appropriate SW learning model for non-majors and to cultivate practical SW capabilities.

• The Journal of Korean Association of Computer Education
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• v.16 no.2
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• pp.9-18
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• 2013

In secondary education, learning a computer science subject has the purpose to improve creative problem solving ability of students by learning computational thinking and principles. In particular, learning algorithm has been emphasized for this purpose. There are studies that learning algorithm has the effect of creative problem solving based on the leading studies that learning algorithm has the effect of problem solving. However, relatively the importance of the learning algorithm can weaken, because these studies depend on creative problem solving model or special contents for creativity. So this study proves that learning algorithm has the effect of creative problem solving in the view that common problem solving and creative problem solving have the same process. For this, analogical reasoning was selected among common thinking skills and divide-and-conquer algorithm was selected among abstractive principles for analogical reasoning in sorting algorithm. The frequency which solves the search problem by using the binary search algorithm was higher than the control group learning only sequence of sorting algorithm about the experimental group learning divide-and-conquer algorithm. This result means that learning algorithm including abstractive principle like divide-and-conquer has the effect of creative problem solving by analogical reasoning.

• 대한공업교육학회지
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• v.33 no.2
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• pp.170-191
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• 2008

Many former researchers demonstrated that algorithm learning has a positive outcome on students' problem-solving abilities. One of the methods for algorithm learning, the 'programming learning' method is highly effective. However, there are numerous constraints in schools for programming learning. This study attempts to overcome these issues. Squeak Etoys, one of the educational visual programming languages for easy and interesting learning, has been selected as a learning tool. We developed the algorithm-learning curriculum for middle school students. They were divided into a control group and an experimental group. The students learned on the basis of equal curriculum but, they used other learning tools through over a total 6 sessions. The result showed that Squeak Etoys based Algorithm learning has a positive effect on improving middle school learners' problem solving abilities, self-efficacies and logical thinking abilities. Although the students' logical thinking abilities in the experimental group are improved a lot more than the students' abilities in control group, the students' logical think abilities in the both groups are improved. Therefore, algorithm education in secondary schools are necessary. In conclusion, Squeak Etoys based Algorithm learning has a positive effect on problem solving ability and self efficacy. The developed curriculum can be applicable as a basis for study on algorithm learning and educational programming language.

• The Journal of Korean Association of Computer Education
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• v.19 no.1
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• pp.27-39
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• 2016

It is necessary for us to be equipped with problem-solving ability, logical thinking ability, and convergence thinking ability in the digital information age. To have these abilities, modern people in the $21^{st}$ century should be educated to develop the computational thinking ability. However, it is difficult to cultivate the computational thinking ability in current computer education curriculum. Therefore, this paper aims to propose a programming-based computer educational program to make students better understand the principles of computer science and enhance student's computational thinking ability escaping from current fragmentary and limited computer education. In order to verify the effectiveness of the educational program, students in total 42 middle school (22 students in 1st and 2nd grades and 20 in 3rd grade) were applied to the educational program for twenty-four hours on 12 weeks and then we obtained a positive result that might bring improvement on the logical thinking ability and creative problem-solving skills. As a result, this study presents the possibility of its field applications of computational thinking-based programming learning and analyzed the effectiveness. therefore, it has a notable point of presenting the development direction of a variety of education programs for enhancing the computational thinking in the future.

• 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.