• Journal of Industrial Convergence
• /
• v.21 no.1
• /
• pp.147-157
• /
• 2023

In this study, we approached from the perspective of AI convergence education in elementary, middle and high schools to understand AI convergence education. We examined what capabilities AI convergence education ultimately seeks to pursue, and analyzed various examples of AI convergence education in three dimensions: core curriculum, convergence model, AI learning elements and learning activities. In addition, factors to be considered in order for AI convergence education to be actively carried out include the cultivation of AI convergence education capabilities of teachers, the development and dissemination of AI teaching and learning methods and teaching and learning models, and evaluation methods for AI convergence education.

• Journal of Internet Computing and Services
• /
• v.24 no.5
• /
• pp.121-130
• /
• 2023

In the school field, AI convergence education is recommended, which utilizes AI in education to change the paradigm of society. This study was conducted to define the terms of AI and AI convergence education to minimize the confusion of terms and to analyze the educational needs of teachers from the perspective of conducting AI convergence education. To achieve the purpose, 19 experts' opinions were collected, and a self-administered questionnaire was administered to 125 secondary school teachers enrolled in the AI convergence major at the Graduate School of Education. As a result of the analysis, the experts defined AI convergence education as a methodology for problem solving, not AI-based or utilization education. In the analysis of teachers' educational needs, "AI and big data" was ranked first, followed by "AI convergence education methodology" and "learning practice using AI". The significance of this study is that it defined the terminology by collecting the opinions of experts amidst the confusion of various terms related to AI, and presented the educational direction of AI convergence education for in-service teachers.

• Journal of The Korean Association of Information Education
• /
• v.25 no.3
• /
• pp.471-481
• /
• 2021

The purpose of this study is to analyze the effectiveness of AI convergence education program. To this end, the "Elementary Science AI Convergence Education Program for Machine Learning" developed in previous research were taught to elementary school students in the fourth to sixth grades in eight times. The quantitative changes of each factor were analyzed by R program, and the effectiveness of education was analyzed by Pearson correlation and paired samples t-test. As a result, there is a deep correlation between "Attitude to AI technology, Scientific preference and STEAM Literacy" and technical average has improved in many factors. Therefore, AI convergence education program is meaningful in terms of education, and if AI education and AI convergence education are implemented into the primary formal education curriculum, they will have a positive effect.

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

• 한국정보교육학회:학술대회논문집
• /
• 2021.08a
• /
• pp.411-418
• /
• 2021

In this study, in order to analyze the AI convergence education courses of 38 graduate schools of education, the analysis frame was constructed in terms of basic subject classification, content field of subject, and detailed subject composition by field. And as a result of analysis through this frame, it was found that the number of subjects currently operated by these graduate schools of education is very different from 14 subjects to 48 subjects. Therefore, it was judged that it was urgent to develop a standard curriculum for the AI convergence education major operated by each graduate school of education for the same purpose. The AI Convergence Education Major, which was established for the same purpose and operated in different forms, will eventually produce teachers with different competencies, so there is a risk of bringing confusion to the direction of AI Convergence Education in the school field.

• Journal of the Korea Society of Computer and Information
• /
• v.27 no.3
• /
• pp.217-223
• /
• 2022

In this paper, the needs and environment of the 'AI Convergence Education Method' were analyzed for elementary and secondary teachers, and based on this, teaching efficacy of informatics education was verified. For the research, elementary and secondary teachers who take the subject were selected, and based on the results of analyzing the general characteristics, pre-knowledge level, and needs of the subject, curriculum for 15 weeks was developed. As a result of verifying the teaching efficacy effectiveness of the developed 'AI Convergence Education Method' subject for 15 weeks, the effectiveness of the information education teaching efficacy was verified. Among the factors, there were statistically significant differences in information teaching values and information teaching strategies. In the future, it is necessary to conduct follow-up research to secure teachers' professionalism, such as linking with schools and convergence with other subjects. Various teaching and learning materials and teaching and learning methods such as educational contents and materials, reference literature, and artificial intelligence education platforms need to be prepared.

• Journal of the Korean Society for information Management
• /
• v.41 no.1
• /
• pp.439-463
• /
• 2024

Recently, there has been a growing demand for school libraries to take on the role of curriculum convergence and content development. This study purposed to develop a program that integrates reading activities and artificial intelligence (AI) education in a middle school library as a platform for convergence education. The program aimed to enhance creative problem-solving skills by integrating an understanding of AI concepts and principles through reading activities related to AI topics. The program, comprising 18 sessions (6 modules), was implemented with 36 first-year students at A Middle School, Gyeonggi-do, in 2022. After implementation, a paired-sample t-test revealed significant improvements in AI learning self-efficacy and creative problem-solving skills. Participants also showed positive attitudes toward class engagement and reading activities. Implications for AI convergence education in connection with school libraries were discussed.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2022.10a
• /
• pp.182-184
• /
• 2022

As artificial intelligence (AI) is emphasized in elementary and secondary school education, interest in AI-applied class activities is increasing. Since AI is taught across various subjects in schools, teachers must plan lessons based on the principles of convergence education. In this paper, the concept of convergence education and matters to be considered for productive class activities were reviewed. Then, considerations for designing AI classes in schools are presented in the following aspects: characteristics of AI education in schools; educational goals for each school level in the general guidelines of the national curriculum; resources to be referenced when composing class content; perspectives on AI-applied software; and anticipated instructional procedures. As a suggestion, the following is presented. First, it is necessary to derive competencies that can be cultivated by AI education in school. Second, it is necessary to specify the design elements and procedures of AI classes based on the subject characteristics.

• Journal of The Korean Association For Science Education
• /
• v.44 no.2
• /
• pp.141-153
• /
• 2024

The 2022 revised science curriculum aims to develop the ability to solve scientific problems arising in daily life and society based on convergent thinking stimulated through participation in research activities using artificial intelligence (AI). Therefore, we developed a science-AI convergence education program that combines the science curriculum with artificial intelligence and employed it in convergence classes for high school students. The aim of the science-AI convergence class was for students to qualitatively understand the movement of a damped pendulum and build an AI model to predict the position of the pendulum using the block coding platform KNIME. Individual in-depth interviews were conducted to understand and interpret the learners' experiences. Based on Giorgi's phenomenological research methodology, we described the learners' learning processes and changes, challenges and limitations of the class. The students collected data and built the AI model. They expected to be able to predict the surrounding phenomena based on their experimental results and perceived the convergence class positively. On the other hand, they still perceived an with the unfamiliarity of platform, difficulty in understanding the principle of AI, and limitations of the teaching method that they had to follow, as well as limitations of the course content. Based on this, we discussed the strengths and limitations of the science-AI convergence class and made suggestions for science-AI convergence education. This study is expected to provide implications for developing science-AI convergence curricula and implementing them in the field.

• 한국정보교육학회:학술대회논문집
• /
• 2021.08a
• /
• pp.425-431
• /
• 2021

In this study, in order to develop a manual for the AI convergence education competency strengthening project, project personnel were interviewed and an overall analysis of the business process was made. As a result of analysis, the manual includes methods to solve problems currently being raised in the field such as recruitment of graduate students, education program management, academic registration management, and budget management. In order to increase the continuity and efficiency of the project, it is necessary to build an administrative management site that provides information on the overall project, to strengthen publicity for general teachers about AI convergence education, and meet the educational needs and level of enrolled students.