• 한국정보교육학회:학술대회논문집
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• 2021.08a
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• pp.269-274
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• 2021

With the development of artificial intelligence, society is moving to a different world. As a result, amid growing interest in artificial intelligence education, research on how to teach artificial intelligence is also being conducted more actively in Korea. However, a lot of research is being conducted around the upper grades of elementary school, and curriculum and programs for the lower grades are insufficient. Therefore, this study developed an artificial intelligence program for lower grades. Among them, it was developed focusing on artificial intelligence image recognition. It compares image recognition methods of people, animals, and computers, identifies the characteristics of fallen leaves, and helps them understand the image recognition process of artificial intelligence by classifying them according to the characteristics of fallen leaves. I hope this program will help elementary school students understand the image recognition principle of artificial intelligence in the future.

• Journal of Practical Engineering Education
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• v.14 no.3
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• pp.459-469
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• 2022

The purpose of this study is to explore the educational effect by developing and applying a decision tree-based artificial intelligence convergence education program. To achieve the purpose of this study, the study was conducted through a three-step process of preparation, development, and improvement. In addition, it consisted of four stages of the creative problem-solving process: 'Understanding the problem', 'Idea search and development', 'realization' and 'evaluation'. In particular, the artificial intelligence convergence education program developed in this study is an unplugged activity that does not include programming. Therefore, it is very noteworthy that artificial intelligence convergence education was implemented in subjects other than technology and home economics education, and information education, which are part of junior engineering education, and practical arts education in elementary education, which is a subject that learns Artificial Intelligence technology including programming during class time. In other words, it shows that AI technology can be integrated and taught in most subjects, not specific subjects and has great significance in that it can utilize the concepts and principles of artificial intelligence technology when teaching the concept of classification, which is included in the curriculum.

• Journal of Korean Elementary Science Education
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• v.39 no.2
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• pp.284-295
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• 2020

The purpose of this study is to explore the possibility of artificial intelligence convergence education (AICE) in elementary biological classification learning. First, the possibility of AICE was analyzed in the field of 2015 revised elementary life science curriculum. The artificial intelligence biological classification (AIBC) education program targeted plant life. The possibility of AICE in the elementary life science curriculum was suggested through the consultation process of three elementary science education experts. The AIBC education program was developed through the review process of elementary education experts. The results of this study are as follows. First, 8(32%) achievement standards were available for AICE in elementary life science. Second, 18(86%) of the 21 items reviewed by the experts for the AIBC education program developed in this study were positively evaluated. Third, in this study, through the analysis of the possibility of AIBC in the elementary life field and the review of the experts, the AIBC education program including teaching and learning models, strategies, and guidance was developed. The results of this study were based on the review of the experts, and as a follow-up study, applied research to elementary students is needed. It is also hoped that various studies on AICE will be conducted not only in the life field but also in science and other fields. Finally, we expect that the results of this study will be applied to bio-classification learning to help students improve classification capabilities and generate classification knowledge.

• International journal of advanced smart convergence
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• v.10 no.2
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• pp.201-208
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• 2021

Recently, artificial intelligence(AI) has been used throughout society, and social interest in it is increasing. Accordingly, the necessity of AI education is becoming a big topic in the education field. As a response to this trend, the Korean education authorities have also announced plans for AI education, and various studies have been performed in academic field to revitalize AI education in the future. However, the curriculum research on what differentiates AI education from existing SW education and what and how to train AI is still in its infancy. In this paper, Therefore, we focused on the experiences of elementary school students in solving problems in their own lives, and developed a teaching-learning model based on design-based research so that students can design a problem-solving process and experience the process of feedback. We applied the developed teaching-learning model to the problem-solving process and confirmed that it increased students' understanding and satisfaction with AI education.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.07a
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• pp.401-402
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• 2022

본 연구에서는 중학생의 인공지능 리터러시와 인공지능 리터러시에 영향을 주는 요인(성별, 인공지능 관련 경험, 인공지능에 대한 관심)을 조사·분석하였다. 연구 결과, 중학생의 인공지능 리터러시는 여성보다 남성이 높았다. 모든 세부 요인에서 유의한 차이는 아니었지만, 인공지능 문제 해결과 관련된 세부 요인은 남성이 더 높은 것으로 나타났다. 인공지능 관련 경험은 인공지능 간접 경험, 직접 경험, 교육 경험이 있는 학생이 경험이 없는 학생보다 인공지능 리터러시가 높았다. 마지막으로 인공지능에 대한 관심이 높을수록 인공지능 리터러시가 높았다.

• Fashion & Textile Research Journal
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• v.23 no.3
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• pp.337-346
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• 2021

In the fourth industrial revolution, fashion students are expected to work with various technologies to show creativity. This study aimed to conduct project-based learning(PBL) in collaboration with industry experts to design and operate artificial intelligence(AI) in the practice subject of fashion curation through the industrial academic teaching method. We first looked at teaching methods and strategies incorporating PBL in various academic fields. Next, we analyzed fashion projects and fashion curation services applying AI. Then through the question-and-answer method and by consulting with industry experts, we developed a curriculum for AI fashion curation, applying PBL(fashion market and trend analysis; new styles and time, place, and occasion planning; AI machine learning data set production; curation model development; and evaluation) suitable for the university's educational environment, information technology company conditions, and fashion students. As part of a close cooperation system with the industry, we conducted a 15-week Fashion Project II (Capstone Design) course and evaluated the outcomes and student satisfaction with the course. Students were able to develop new style, and time, place, and occasion categories and to utilize strategies for AI fashion curation services reflecting the unique needs of Millennials and Generation Z. Students showed high satisfaction with the curriculum. Further, it was confirmed that the study successfully applied PBL in class using AI technology in fashion education.

• Journal of The Korean Association of Information Education
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• v.25 no.2
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• pp.413-421
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• 2021

In line with the social changes due to the Fourth Industrial Revolution, foreign countries are strengthening information education for the future of education. This study analyzed the current status of software (SW) and artificial intelligence (AI) education among different types of information education programs in elementary schools of major foreign countries, and compared them with the education provided in Korea. Compared to major foreign countries, Korea allocated very little time for software education in elementary schools, making it difficult to sufficiently cover all areas of the curriculum achievement standards. In addition, other countries recognized the importance of artificial intelligence, an important technology of the Fourth Industrial Revolution, and were providing artificial intelligence education on the basis of software education at the national level. The Korean government is also planning on providing the education at national level, but it was identified that the information education of elementary schools have many problematic issues. This study emphasized the need to establish an information curriculum for elementary schools as a way to address these issues.

• Journal of The Korean Association of Information Education
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• v.26 no.5
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• pp.375-384
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• 2022

As artificial intelligence(AI) education becomes essential in elementary schools with the revised 2022 curriculum, it is necessary to develop an AI curriculum for elementary school students. In this study, I developed the AI content framework to cultivate AI literacy of elementary school students. AI education areas were largely divided into AI understanding and AI development, and detailed areas were divided into eight categories: using of AI, impact of AI, AI ethics, recognition of AI, data expression, data exploring, learning of AI, and prediction of AI. In addition, twice expert Delphi surveys were conducted to verify the validity of the subject elements and achievement standards for each area. The final draft was finalized after reflecting expert opinions on the AI education content framework. In order for AI education to be expanded in elementary schools in the future, continuous research is needed, such as developing textbooks and teaching tools according based on the AI framework proposed in this study, securing the lesson hours to apply them to schools, and correcting and supplementing the problems of them.

• Journal of the Korea Society of Computer and Information
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• v.29 no.2
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• pp.67-78
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• 2024

Amidst the onset of the Fourth Industrial Revolution and the prominence of artificial intelligence, societal structures are undergoing significant changes. There is a heightened global interest in AI education for nurturing future talents. Consequently, this research aims to develop an AI-integrated Korean language curriculum for first-year high school students, utilizing the ADDIE model for instructional program development. To assess the program's effectiveness, pre-post assessments were conducted on future core competencies (Collaboration, Communication, Critical Thinking, Creativity) and knowledge information processing skills. The curriculum, spanning nine sessions and incorporating four small projects, sought to provide students with a new experience of AI-integrated Korean language education. As a result, students who participated in the program demonstrated improvement in future core competencies across all areas, and positive outcomes were observed in satisfaction levels and qualitative analysis. Through these findings, it is suggested that this program successfully integrates artificial intelligence into high school Korean language education, potentially contributing to the cultivation of future talents among students.

• The Journal of Korean Medicine
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• v.44 no.4
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• pp.72-86
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• 2023

Objectives: The medical field is rapidly evolving with AI and digital technologies like AI-based X-ray analysis and digital therapeutics gaining approval. Telemedicine is becoming prominent, and medical schools are adapting by integrating AI education. Pusan National University leads a talent training project for AI in health. Korean Medicine is incorporating AI with diagnostic systems and chatbots. However, there's a lack of research on education awareness in Korean Medicine Colleges. The study aims to assess opinions on integrating AI, digital therapeutics, and DNA test into the Korean medicine college curriculum for improved education. Methods: We selected appropriate four specific areas: artificial intelligence in medicine, digital therapeutics, DNA test, and telemedicine. The questionnaire developed for this study underwent expert evaluation and was subsequently administered to registered KMDs of the Association of Korean Medicine, as well as students from 12 Korean Medicine universities. The survey was designed to analyze the awareness and perceived importance of the 4 areas. Results: Both KMDs and Korean medicine students exhibited comparable awareness levels across the four objectives. Notably, both groups identified a high educational necessity and importance of artificial intelligence in medicine for clinical settings. Statistically significant differences were observed between KMDs and students in their perspectives on the importance of telemedicine and DNA test in the Korean medicine field, the educational necessity of DNA test within Korean medicine universities, and the need for comprehension of regulations related to digital therapeutics. Conclusion: The survey of Korean medicine professionals and students underscores a strong understanding of key areas such as Telemedicine, medical AI, DNA test, and digital therapeutics. Medical AI is identified as crucial for future education. There's a consensus on the need for curriculum changes in Korean medicine schools, particularly in adapting to evolving healthcare trends. The focus should be on practical clinical application, with a call for additional research to better integrate student and practitioner perspectives in future curriculum reform discussions.