• Journal of Creative Information Culture
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• v.7 no.2
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• pp.79-90
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• 2021

The purpose of this paper is to study the unplugged educational program for the lower grades of elementary school. For this, the study was conducted as follows. First, a play-learning-based unplugged education method was discovered, focusing on play activities according to the level of development of elementary school students. Secondly, unplugged educational programs to develop Computational Thinking were designed according to the discovered topics. each class is conducted by storytelling, and the content of the storytelling is related to the integrated curriculum 'Winter'. In addition, each class was analyzed based on the core elements of Computational Thinking ability. And, we developed educational materials that can be used in the designed unplugged educational program. Finally, the educational program was applied to the lower grades of elementary school, and the educational program was analyzed through case studies. As a result of the analysis, the educational program was organized according to the level of the students, and it was confirmed that this educational program is helpful in improving the Computational Thinking of lower grade students of elementary school.

• Journal of The Korean Association of Information Education
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• v.21 no.5
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• pp.509-525
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• 2017

The purpose of this study was to examine the research trends on software education for elementary school in Korea. It analyzed articles that were published in Korea from 2014 to 2017 focusing on the research methods, themes, and outcomes. The results are as follows. First, it was found that the number of articles about software education for elementary school is steadily increasing. Second, with regard to research methodology, quantitative research was the most popular research type, primarily through experimental research. Moreover, the most frequent research targets were elementary schoolchild. Thirdly, with regard to the research theme, out of the seven categories of software education for elementary schoolchild research, the category of the effect of software education on elementary schoolchild was investigated most frequently. Finally, the outcomes of the studies were described in accordance with the category investigated. Then discussions on limitations and suggestions for future studies were described.

• Journal of Internet of Things and Convergence
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• v.8 no.6
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• pp.49-54
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• 2022

Rapid changes in modern society after the COVID-19 have highlighted artificial intelligence talent as a major influencing factor in determining national competitiveness. Accordingly, the Ministry of Education planned a large-scale SW·AI camp education project to develop the digital capabilities of 4th to 6th grade elementary school students and middle and high school students who are in a vacuum in artificial intelligence education. Therefore, this study aims to develop a camp-type SW·AI education program for students in grades 4-6 of elementary school so that students in grades 4-6 of elementary school can acquire basic knowledge in artificial intelligence. For this, the meaning of SW·AI education in elementary school is defined and SW·AI contents to be dealt with in elementary school are: understanding of SW AI, 'principle and application of SW AI', and 'social impact of SW AI' was set. In addition, an attempt was made to link the set elements of elementary school SW AI education and learning with related subjects and units of textbooks currently used in elementary schools. As for the program used for education, entry, a software coding learning tool based on block coding, is designed to strengthen software programming basic competency, and all programs are designed to be operated centered on experience and experience-oriented participants in consideration of the developmental characteristics of elementary school students. In order for SW·AI education to be organized and operated as a member of the regular curriculum, it is suggested that research based on the analysis of regular curriculum contents and in-depth analysis of SW·AI education contents is necessary.

• Journal of The Korean Association of Information Education
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• v.22 no.6
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• pp.689-699
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• 2018

The purpose of this study was to investigate the prediction of self-regulated learning, GRIT and parents support on computational thinking and learning satisfaction in online software education. The participants were 71 elementary students who attended to an online software education which K university offered in Spring 2018. The 63 of cases were used to analyze by SPSS. The key findings were as follows: First, self-regulated learning and GRIT significantly predicted computational thinking. Second, self-regulated learning and GRIT significantly predicted learning satisfaction. This research suggested the implications for computational thinking and learning satisfaction in online software education.

• Journal of The Korean Association of Information Education
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• v.26 no.6
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• pp.579-585
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• 2022

This paper aimed to analyze the effect of SW convergence education applying Yut-nori on the knowledge information processing ability of elementary school students. A study was conducted targeting elementary school students in the islands of Jeollanam-do. A SW convergence education applying Yut-nori was developed and applied to the experimental group. A pre-test for knowledge and information processing competency was conducted, SW convergence education applying Yut-nori was conducted, and a post-test for knowledge and information processing competency was conducted. As a knowledge information processing capability test tool, the upper elementary school knowledge information processing competency measurement tool was used for analysis. According to the analysis, SW convergence education using Yut-nori is effective in improving knowledge and information processing competency, which is the ability of elementary school students to collect, analyze, evaluate, and use selected knowledge and information to solve problems efficiently. It was found to be effective in improving knowledge and information processing competency.

• Journal of The Korean Association of Information Education
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• v.25 no.2
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• pp.337-346
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• 2021

Despite the increasing rate of use of data science in various fields of society, research on data science education programs is relatively inadequate. In this study, a data science education program for elementary school students was developed and its effectiveness was verified. We created a program that collects data using microbit, one of the physical computing tools, and developed an education program that performs the data science stage of analyzing the collected data to derive results. A study was conducted on 10 students enrolled in the Information Gifted Program at 00 University, and pre- and post-tests of computing thinking skills were conducted to verify the effectiveness. As a result, it was found that the data science education program developed through this study has a significant effect on improving the computational thinking of elementary school students.

• 한국정보교육학회:학술대회논문집
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• 2004.01a
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• pp.513-521
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• 2004

현재 초등학생용 컴퓨터 수업에서 그래픽 수업을 위한 초등학생 교육용 소프트웨어와 컨텐츠가 부족한 것이 현실이다. 매주 컴퓨터 수업을 하고 있으나 교과서에서 그래픽 관련 단원 수업은 거의 미미한 수준이다. 또한 초등학교 저학년 아동들의 발달단계 및 흥미를 고려한 그래픽 프로그램의 부재로 아동들이 학습을 하는데 어려움을 겪고 있다. 저학년 아동들을 위한 컴퓨터 그래픽 에디터가 필요하며 컴퓨터 그래픽에 관련된 단원을 아동들에게 가르치고 있으나 단순한 흥미수준의 몇 시간의 수업으로 끝나고 있는 실정이다. 본 연구에서는 초등학교 저학년을 위한 그래픽 에디터의 개발과 이러한 단편적인 지도를 보다 체계적인 지도 내용을 마련하여 초등학교 저학년 컴퓨터 그래픽 활용능력을 신장시키고자 한다.

• Proceedings of The KACE
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• 2018.08a
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• pp.29-31
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• 2018

복잡다단한 현대사회의 문제들을 해결하기 위해 필요한 역량으로 컴퓨팅 사고력과 협력적 문제해결력을 들 수 있다. 이를 위해 초등학생을 위해 소프트웨어 교육은 이 두 가지 역량을 키워줄 수 있는 교육 내용과 방법을 제공하여야 한다. 본 연구에서는 게임 소프트웨어 개발이라는 소재를 가지고 학생들에게 게임의 기획자와 개발자의 역할을 부여해 추상화 및 자동화의 과정 속에서 일어나는 의사소통을 통해 협력적 문제해결력을 향상시킬 수 있는 교육 모델을 제안하고자 한다.

• Journal of Creative Information Culture
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• v.7 no.3
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• pp.177-185
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• 2021

In future education, the paradigm of education is changing due to changes in learner-led and assessment methods. In addition, AI-based learning infrastructure and software education are increasingly needed. Thus, this study aims to examine the effectiveness of AI-based evaluation in future education by combining it with learner-led assessment. Using AI education and evaluation literature and Step 7 of the Learner-Driven Software Assessment Method, we sought to extract evaluation elements tailored to elementary school level in conjunction with the 2015 revised elementary practical course content elements, software understanding, procedural problem solving, and structural evaluation elements. In the future, we will develop a grading system that applies AI-based learner-led evaluation elements in software education and continuously demonstrate its effectiveness, and help the school site prepare for future education independently through AI-based learner-led assessment in software education.

• Journal of The Korean Association of Information Education
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• v.22 no.5
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• pp.585-592
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• 2018

As the software education which utilizes the virtual reality in the education field becomes more interested in the teachers and the students, researches are being conducted for the education of virtual reality contents production. The purpose of this study is to analyze the curriculum, outcomes, and evaluation results of virtual reality contents production for educational students, elementary school students, and middle school students. As a result of analysis on each group, there was no difference in adaptability to specific tools, differences in ability of object production in production, and self-confidence and interest in production and utilization of virtual reality in learning attitude.