• Journal of The Korean Association of Information Education
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• v.19 no.2
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• pp.225-232
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• 2015

The goal of this study is to assess the effects of Scratch programming classes on preservice teachers by using computational thinking and cognitive evaluations based on Bloom's taxonomy. To pursue this research goal we measured preservice teachers' programming skills using cognitive evaluation items based on Bloom's taxonomy after preservice teachers took one-semester Scratch programming course. In addition, a survey focused on computational thinking (CT) concepts, CT practices, and CT perspectives was conducted. We also conducted artifact-based interviews to unpack preservice teachers' experiences of working on team projects and analyzed their experiences qualitatively. The results of this study are meaningful because we assessed preservice teachers' experiences comprehensively with both quantitative and qualitative methods. In addition, this study provides us with implications for evaluation perspectives in designing programming courses for preservice teachers by adopting Bloom's taxonomy scheme.

• Proceedings of The KACE
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• 2017.08a
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• pp.113-116
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• 2017

현대 사회는 4차 산업혁명을 통해 빠르게 발달하고 있다. 이러한 사회에서는 새로운 지식과 기술이 끊임없이 만들어지고 기존의 지식과 기술이 도태되고 지식과 기술의 생명주기가 점차적으로 빨라지고 있다. 이에 따라 새롭게 제시되는 지식과 기술을 적합한 문제에 적용하여 문제를 해결하는 능력의 중요성이 커지고 있다. 특히 차세대 기술로 평가받는 인공지능, 로봇, 자율 자동차, 사물 인터넷 등의 기술과 연관된 문제를 해결하는 방법은 컴퓨터를 활용한 문제 해결방법과 밀접하게 연관돼있기 때문에 컴퓨터를 활용하여 주어진 문제를 표현하고 해결하는 능력은 매우 중요하다. 본 연구에서는 운영체제에서 기본적으로 제공되는 파일 관리 프로그램에 대한 문제점을 제기하고 문제 해결을 위해 컴퓨팅 사고력을 활용해서 문제에 대한 조사 단계, 분석 단계, 그리고 자동화 단계를 거쳐 문제를 해결한다.

• The Journal of Korean Association of Computer Education
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• v.21 no.5
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• pp.37-48
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• 2018

The 2015 revised national curriculum includes SW courses to improve computational thinking, and a variety of physical computing tools for learning are on sale for use in education. The purpose of this study is to provide a basis for selecting physical computing tool for learning suitable for learning situations and learning purposes, and to provide a reasonable basis for judging the choice of tools in the field. Delphi survey method was used as a reference method for developing evaluation criteria through 25 expert panels. As a result, the criterion of evaluation of the learning tool composed of 40 essential and 11 selection criteria for 7 domains was presented. In addition, the evaluation results of five kinds of learning tools commercialized through the evaluation criteria of the learning tool were analyzed. The evaluation criteria for the learning tools developed through this study are expected to help teachers select rational learning tools and help learning tool developers develop learning tools.

• KIPS Transactions on Software and Data Engineering
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• v.6 no.5
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• pp.235-244
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• 2017

As creativity and problem-solving ability become core competencies, the main objectives of programming subjects in the elementary and secondary educational curriculum is 'computational thinking'. This goal can not be achieved at the level of understanding the characteristics of the programming language and the simple utilization abilities of the computer. The abilities to write algorithms and solve problems in real life situations using programming languages are required. In order to cultivate these abilities, the curriculum of the programming area was strengthened in the elementary and middle education curriculum, and the criteria for evaluating the achievement level were also prepared. However, the curriculum that can be used in actual education field is not yet established. In this study, we analyzed the researches on the existing programming curriculum and evaluated how well the curriculum meets the achievement criteria. Also, we can suggest the aspects to be considered in the study of programming curriculum and to verify whether the results of curriculum operation are in line with achievement criteria. In addition, future directions in elementary and middle school programming curriculum are suggested.

• Proceedings of the Korea Contents Association Conference
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• 2017.05a
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• pp.393-394
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• 2017

2015 개정 교육과정을 통해 소프트웨어 교육의 일환으로 프로그래밍 교육이 초등학교 정규교과에 도입된다. 프로그래밍 교육이 문제해결력에 미치는 영향에 대한 분석을 통해 효과적인 교수 학습 방법이 제시될 수 있다. 본 연구에서는 엔트리와 엔트리용 센서보드를 활용한 5차시 분량의 학습 프로그램을 개발하고 그것을 적용한 수업을 실시하였다. 수업 전 후에 문제 해결 검사도구를 활용하여 학생들의 감마파와 뇌파집중 지표의 변화를 측정하고 분석하였다. 이를 통해 효과적인 프로그래밍 교육의 필요성을 제안하였다.

• Journal of Industrial Convergence
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• v.20 no.5
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• pp.83-92
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• 2022

As cases of social and ethical problems caused by artificial intelligence technology have occurred, artificial intelligence ethics are drawing attention along with social interest in the risks and side effects of artificial intelligence. Artificial intelligence ethics should not just be known and felt, but should be actionable and practiced. Therefore, this study proposes an artificial intelligence ethics education model to strengthen the practical ability of artificial intelligence ethics. The artificial intelligence ethics education model derived educational goals and problem-solving processes using artificial intelligence through existing research analysis, applied teaching and learning methods to strengthen practical skills, and compared and analyzed the existing artificial intelligence education model. The artificial intelligence ethics education model proposed in this paper aims to cultivate computing thinking skills and strengthen the practical ability of artificial intelligence ethics. To this end, the problem-solving process using artificial intelligence was presented in six stages, and artificial intelligence ethical factors reflecting the characteristics of artificial intelligence were derived and applied to the problem-solving process. In addition, it was designed to unconsciously check the ethical standards of artificial intelligence through preand post-evaluation of artificial intelligence ethics and apply learner-centered education and learning methods to make learners' ethical practices a habit. The artificial intelligence ethics education model developed through this study is expected to be artificial intelligence education that leads to practice by developing computing thinking skills.

• The Journal of Korean Association of Computer Education
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• v.19 no.1
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• pp.101-109
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• 2016

Designing algorithms is a very important learning process in computational thinking education because it requires learner's logical and procedural thinking. But the case studies that have topics of algorithms learning and students' types of errors in learning algorithms are not enough. So the purpose of this study is to analyze students' errors that discovered in the process of learning three control structures of programming using flowchart and provide types of errors in designing algorithms. Results about tests of three types of control structures in university student's algorithms learning class showed different cases of types of errors; types of sequential control error are not presented in the class, types of conditional control error are presented in the case of setting the conditions of nested conditional control, and types of iterative control are showed in the many cases of iterative conditions, statements of single and nested iterative control structure. The results of study will be a good case study about teaching designing algorithms of computational thinking education in elementary, secondary school and university.

• Journal of The Korean Association of Information Education
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• v.23 no.1
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• pp.65-72
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• 2019

As the importance of SW education grows, researches are actively being conducted to improve students' thinking skills. We conducted the group III tasks, which are experiencing and challenging in Beaver Challenge 2018, on 55 students of 5th grade in elementary school. Based on the result, we analyzed their average scores and defined whether each test has a correlation with possession of smartphone, computer familiarity, patience, concentration, and academic ability. The result indicated challenging task boosted the average score, the percentage of correct answers, and the percentage of correct answers for each level of difficulty. Moreover, the challenge task scores were higher as they higher computer familiarity, patience and concentration level. However, possession of smartphones and academic ability did not affect the score. Lastly, the scores were affected by different factors in different level of difficulty that patience factor in advanced level, computer familiarity factor in intermediate level, and concentration factor in beginner level. Thus, further researches are necessary to be conducted to expand the scope of the analysis through the diversification of test subject group and expansion of an evaluation area.

• Journal of The Korean Association of Information Education
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• v.22 no.3
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• pp.345-356
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• 2018

The purpose of this paper is to analyze the elementary school students' level of computational thinking ability by analyzing the domestic question and examination results of Beaver Challenge 2017. Based on the results of the 'Challenge' results of Beaver Challenge 2017, the achievement by element, gender, and grade of elementary school students II (elementary school 3.4) and group III (elementary school 5.6) Respectively. As a result of the analysis, the achievement by the evaluation factors showed difference within each group. In addition, there was no significant difference in achievement according to gender except for one area of group II. The achievement level of each grade was statistically significant in the group III. The results of this study are expected to provide implications for the level of students related to what can be evaluated in elementary school information education and contribute to the follow-up research.

• Journal of The Korean Association of Information Education
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• v.26 no.5
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• pp.341-352
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• 2022

The wave of a knowledge and information society led by AI, Big Data, and so on is having an all-round impact on our way of life. Therefore the Ministry of Education is in a hurry to strengthen Digital Literacy, including AI and SW Education, by improving the curriculum that can cultivate basic knowledge and capabilities to respond to changes in the future society. It can be seen that establishing a foundation for cultivating Digital Literacy through all subjects and improving basic and in-depth learning in new technology fields such as AI linked to the information curriculum is an essential part for future society. However, research on each content for cultivating Digital and AI literacy is relatively active, while research on teaching and learning strategies is insufficient. Therefore in this study, a CT-based Digital and AI teaching and learning strategy that can foster that was developed and Delphi expert verification was conducted, and the final teaching and learning strategy was completed after evaluating instructor usability and analyzing learner effectiveness.