• Journal of the Korea Society of Computer and Information
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• v.28 no.2
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• pp.227-234
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• 2023

In this paper, we developed a design thinking-based artificial intelligence education program for middle school students and applied it to verify the impact on creative problem-solving skills. The inspection tool used the Creative Problem Solving Profile Inventory (CPSPI), an inspection tool for measuring creative thinking type ability based on the CPS theory of Hwasun Lee, Jungmin Pyo, Insoo Choe(2014). CPSPI included the steps of evaluating cognitive preferences and cognitive abilities by supplementing the limitations of existing tests, and sharing and persuading one's ideas with others. Before and after applying the design thinking-based artificial intelligence education program, as a result of analyzing the creative problem-solving ability, it increased significantly in all areas. As a result of analyzing the creative problem-solving ability of middle school students, significant results were found in the areas of Problem Detection and Analysis, Idea Generation, Action plan, Execution, Persuasion and Communication. The effect of design thinking was confirmed as a teaching and learning method to improve creative problem-solving ability in artificial intelligence education.

• Journal of the Korea Society of Computer and Information
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• v.23 no.9
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• pp.163-169
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• 2018

Problem solving by programming has a lot of influence on computational thinking improvement. Programming learning has been self-directed based on the individual's thoughts and principles. However, the revised informatics curriculum in 2015 puts importance on collaborative learning. Collaborative learning emphasizes results differently from cooperative learning, which emphasizes problem-solving processes. And cooperative learning leads to structured learning, such as role sharing and activity stages, within a small group, while collaborative learning leads to unstructured learning. Therefore, it is becoming more in collaborative learning that peer interaction can be affected by learners' cognitive style. In this paper, we propose the effect of cognitive style on problem solving ability in collaborative learning for problem solving by programming. As a result, collaborative learning was effective in improving problem solving ability and there was no significant difference in cognitive style.

• The Journal of Korean Association of Computer Education
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• v.12 no.1
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• pp.23-32
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• 2009

Problem-solving ability have become extremely important in today's world. Programming may help to induce problem-solving ability. However, programming may give cognitive overload and offense against learning motivation. Therefore it is necessary that we should develope strategies to increase motivation on elementary programming classes. We developed a programming learning design and supporting system that combine problem-based learning and storytelling to induce motivation and problem solving ability. And then, we implemented the developed course in elementary school. The result of the research shows that the developed programming classes had positive effect on the development of elementary student's motivation and problem-solving ability.

• 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.

• Journal of The Korean Association of Information Education
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• v.21 no.4
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• pp.425-435
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• 2017

The purpose of this study is to explore the differences between Korea and Japan in terms of the effects of student- and school-level ICT-related factors on computer-based problem solving ability in PISA 2012 achievement results. PISA 2012's computer-based problem solving assessment included 5,033 students from 156 schools in Korea and 6,351 students from 191 schools in Japan. A 2-level hierarchical linear model (HLM) was employed to analyze data. Both of Korean and Japanese students, students with the earlier use of computer and the Internet, higher socioeconomic background and higher openness to problem reported better problem solving scores than their counterparts. Also, accessibility to ICT equipment provided by home or school was found to be a negative effect on problem solving in both countries. Differences in the effects of purposes and attitudes for ICT use, teacher-student relationship, and creative out-of-school activities on problem solving ability were found between two countries.

• Journal of The Korean Association of Information Education
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• v.22 no.1
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• pp.151-158
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• 2018

The purpose of this study is to develop a system for predicting students' collaborative problem solving ability based on the ICT factors of PISA 2015 that affect collaborative problem solving ability. The PISA 2015 computer-based collaborative problem-solving capability evaluation included 5,581 students in Korea. As a research method, correlation analysis was used to select meaningful variables. And the collaborative problem solving ability prediction model was created by using the deep learning method. As a result of the model generation, we were able to predict collaborative problem solving ability with about 95% accuracy for the test data set. Based on this model, a collaborative problem solving ability prediction system was designed and implemented. This research is expected to provide a new perspective on applying big data and artificial intelligence in decision making for ICT input and use in education.

• International Journal of Advanced Culture Technology
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• v.7 no.3
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• pp.79-85
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• 2019

This study examined the effects of a robotics curriculum based on "Bee-Bot" on the scientific problem-solving ability on 5-year-old children. A robotics curriculum was also designed to enhance their scientific problem-solving ability. This study examined a 4-week robotics curriculum was conducted 12 times for 4 weeks. For this study, 14 children in kindergarten A in Korea were set up as a treatment group and 18 children in kindergarten B in Korea as a control group. It was found that children in the treatment group who engaged in the robotics curriculum using "Bee-Bot" performed better on scientific problem-solving tests. This finding indicates that an enhanced planning experience using "Bee-Bot" was beneficial for improving young children's scientific problem-solving ability. The implications for designing appropriate curricula using "Bee-Bot" robots for kindergarteners are addressed.

• Journal of The Korean Association of Information Education
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• v.13 no.4
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• pp.443-450
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• 2009

A programming class was conducted in a current discretionary activity time-slot for computer education by using Dolittle which enhances problem solving ability and creativity for the fifth graders in elementary school. Based on this experiment, a correlation between the programming class and problem solving ability, creativity, and interests in programming of children was examined to suggest an outlook for improving the current computer education.

• 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.

• The Journal of Korean Association of Computer Education
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• v.13 no.1
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• pp.1-8
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• 2010

In the knowledge based society, it is very important to have an ability to solve problem with knowledge and information. In addition, the number of problems that can not be solved only with existing knowledge are increasing. Therefore, we developed an informatics education program that enhances creative problem solving abilities through systematic collection of information. This program designed to enhance both divergent thinking and convergent thinking. The developed program improves the problem solving ability with learner's internal knowledge as well as new information that is collected from external world. More practical and effective program can be provided through continuous program improvement.