• Smart Media Journal
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• v.13 no.2
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• pp.145-155
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• 2024

As the importance of software and artificial education is emphasized on the digital transformation era, various educational materials are being developed and distributed. To achieve the purpose of software education, various software education programs suitable for school settings need to be provided. In this paper, we developed a software education program using self-driving that can be applied to secondary school software education and applied it to secondary school students. The developed software education program is a physical computing program consisting of various motion control programs such as object detection, line tracing using various sensors, focusing on experience and practice. As a result of the survey, students' attitudes and career orientation toward software and artificial intelligence, and satisfaction with software education were over 90%, and satisfaction with the proposed program was over 95%.

• Communications of Mathematical Education
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• v.37 no.4
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• pp.717-736
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• 2023

The purpose of this study is to develop a statistical program using data and artificial intelligence prediction models and apply it to one class in the sixth grade of elementary school to see if it is effective in improving students' statistical literacy. Based on the analysis of problems in today's elementary school statistical education, a total of 15 sessions of the program was developed to encourage elementary students to experience the entire process of statistical problem solving and to make correct predictions by incorporating data, the core in the era of the Fourth Industrial Revolution into AI education. The biggest features of this program are the recognition of the importance of data, which are the key elements of artificial intelligence education, and the collection and analysis activities that take into account context using real-life data provided by public data platforms. In addition, since it consists of activities to predict the future based on data by using engineering tools such as entry and easy statistics, and creating an artificial intelligence prediction model, it is composed of a program focused on the ability to develop communication skills, information processing capabilities, and critical thinking skills. As a result of applying this program, not only did the program positively affect the statistical literacy of elementary school students, but we also observed students' interest, critical inquiry, and mathematical communication in the entire process of statistical problem solving.

• Journal of The Korean Association of Information Education
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• v.25 no.3
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• pp.483-490
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• 2021

In the era of the fourth industrial revolution, the importance of artificial intelligence(AI) is growing day by day, and there is no disagreement that AI education will bring great innovation in the future. Various attempts are being made to educate the topic of AI, but students who have no experience in AI education recognize AI only as a difficult target. Therefore, in this study, we analyze the changes in students' perception of AI by teaching them using AI. AI convergence education were conducted for 6th grade elementary school students, and pre and post tests were conducted in the form of AI awareness survey questionnaires which included questions such as interest in AI, changes brought by AI, and AI education. As a result, we confirm significant results that suggest the level of awareness of AI has improved through AI education in all factors. AI convergence education requires various AI convergence education programs as a form of education for social needs and future students, and hopefully a design based on this will help realize student centered education.

• Annual Conference of KIPS
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• 2023.11a
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• pp.660-661
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• 2023

대한민국에서의 채용과정은 각 기업마다 절차가 상이하지만 대부분 서류심사, 필기시험, 면접 단계를 걸쳐 선발하게 된다. 서류심사와 필기시험은 개별의 노력으로 내용을 개선할 수 있지만, 면접의 경우에는 준비단계에서의 철저한 준비가 필요하다. 이러한 면접의 준비 과정에서의 어려움을 덜어내고자 딥러닝을 활용하여 면접 프로그램을 개발하게 되었다.

• The Journal of Korean Association of Computer Education
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• v.23 no.3
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• pp.17-30
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• 2020

Although the importance of Artificial Intelligence(AI) education is increasing, research on the development of test tools has not been conducted in AI education research in Korea has not been conducted. Accordingly, there is a limit to designing AI curriculum and analyzing the effect of the educational program. So, in this study, Test tool was developed that to measure the attitude toward artificial intelligence of middle school students. For the development of test tools, the objectives, components, factors, and test tools were developed through the discussion of AI education experts. The test tool was finally developed by item analysis, exploratory factor analysis and confirmatory factor analysis. Finally, the criteria of the developed test tool were analyzed. Future research is needed to analyze the effects of educational programs and to analyze factors affecting attitudes toward artificial intelligence in middle school students using developed test tools.

• Journal of The Korean Association of Information Education
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• v.25 no.6
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• pp.961-972
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• 2021

In this study, an educational program was developed so that artificial intelligence could be used as a transdisciplinary convergence education with other disciplines. The main educational content is designed for 8 hours using machine learning to help students understand the molecular structure dealt with in high school chemistry. The program developed in this study calculated the I-CVI (Item Content Validity Index) value through expert review, and as a result, none of the items were rejected with a score of .80 or higher. Because the program of this study combines the content elements of the chemistry subject and the information (artificial intelligence) subject academically, it is expected that the learner will be able to increase the convergence talent literacy. In addition, since it is not required to secure a additional number of hours for this educational program, the burden on teachers may be low.

• 한국정보교육학회:학술대회논문집
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• 2021.08a
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• pp.7-11
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• 2021

This study designs block-based machine learning education program using sound data that can be easily applied in elementary schools. The education program designed its goals and directions based on the results of a demand analysis conducted on 70 elementary school teachers in advance according to the ADDIE model. Scratch in Machine Learning for Kids was used for block-based programming, and the education program was designed to discover regularity of data values using sound data, learn the principles of artificial intelligence, and improve computational thinking in the programming process. In a later study, the education program needs to verify what changes there are in attitudes and computational thinking about artificial intelligence.

• The Bulletin of The Korean Astronomical Society
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• v.46 no.2
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• pp.73.2-73.2
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• 2021

본 연구는 지능정보기술을 천문교육에 활용하여 어떻게 천문교육에 활용할 것인가에 대한 방안을 모색해보았다. 3D프린터, 레이저커팅기, 빅데이터, 인공지능, 드론 등 지능정보기술을 확보한 메이커스페이스 공간에서 이들 기술을 활용하여 천문교육 프로그램을 개발해보는 일은 4차산업혁명시대의 핵심역량을 함양하는데 크게 기여할 것으로 판단된다. 또한 2021년 8월에 중기부 사업으로 선정된 충북대 Pro 메이커스 센터를 중심으로 메이커스페이스 환경에서 다양한 천문교구 개발 및 개발된 천문교구를 활용한 프로그램이 개발되어 형식교육의 현장 뿐만 아니라 비형식 교육의 현장에 다양하게 적용될 계획이다. 이에 향후 메이커스페이스 환경에서 대중천문프로그램이 어떻게 발전될 것인가에 대한 견해 및 토론도 발표될 예정이다.

• Trans-
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• v.13
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• pp.35-58
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• 2022

This study predicts the paradigm shift that the development of artificial intelligence technology will bring to the production of music content, and suggests that works created through collaboration between artificial intelligence and humans can have artistic value as finished products. Anyone can easily produce music content using artificial intelligence composition programs, and it has become an opportunity to inspire artists with various attempts and creative ideas. Although artificial intelligence technology provides convenience in human life and benefits a lot in the efficient aspect of work, it is difficult to escape the perception of data-based pattern music in the art field so far. Pattern music with many quantitative elements is not recognized as a complete creation due to the absence of abstract symbolism or meaning pursued by art. However, it predicts that if qualitative elements such as emotions and creativity are given to artificial intelligence music through human collaboration, it can be recognized as a complete work of art. The development of artificial intelligence technology increases access to culture and art from the public, and it can be expected that anyone can enjoy it as well as aesthetic experiences. In addition, various contents can be produced by improving individual digital literacy, and it is an opportunity to share and communicate with others. As such, artificial intelligence technology serves as a medium connecting the public with culture and art, and is narrowing the gap between humans and technology through art activities. Along with this cultural phenomenon, we predict the possibility of research on the production of artificial intelligence music contents with artistic value and the development of various convergence and complex art contents using artificial intelligence technology in the future.

• Journal of Practical Engineering Education
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• v.16 no.4
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• pp.415-421
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• 2024

This study is a descriptive research study to understand the relationship between nursing professional intuition, artificial intelligence ethics, and digital health literacy of nursing college students. There was no difference in nursing professional intuition, artificial intelligence ethics, and digital health literacy according to the general characteristics of the subject. In addition, nursing professionals were found to have a significant positive correlation with artificial intelligence ethics consciousness and digital health literacy, and artificial intelligence ethics consciousness was found to have a significant positive correlation with digital health literacy. These results can be used as basic data for preparing educational programs that can strengthen digital health literacy capabilities by cultivating artificial intelligence ethics as well as nursing professionals of nursing college students.