• The Journal of Industrial Distribution & Business
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• v.12 no.8
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• pp.21-32
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• 2021

Purpose: With the advent of the era of the 4th industrial revolution, called a new technological revolution, the necessity of fostering future talents equipped with AI utilization capabilities is emerging. However, there is a lack of research on AI education design and competency-based education curriculum as education for business major. The purpose of this study is to design AI education to cultivate competency-oriented AI literacy for business major in universities. Research design, data and methodology: For the design of AI basic education in business major, three expert Delphi surveys were conducted, and a demand analysis and specialization strategy were established, and the reliability of the derived design contents was verified by reflecting the results. Results: As a result, the main competencies for cultivating AI literacy were data literacy, AI understanding and utilization, and the main detailed areas derived from this were data structure understanding and processing, visualization, web scraping, web crawling, public data utilization, and concept of machine learning and application. Conclusions: The educational design content derived through this study is expected to help establish the direction of competency-centered AI education in the future and increase the necessity and value of AI education by utilizing it based on the major field.

• Education of Primary School Mathematics
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• v.27 no.3
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• pp.261-279
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• 2024

The purpose of this study is to examine the characteristics of AI courseware for mathematics learning based on Choppin et al.'s (2014) digital typology and to derive implications for directions for AI courseware development. For this purpose, 12 types of AI courseware actively used in domestic were selected for analysis, and the characteristics of these AI courseware in terms of program-student interaction, teacher' s lesson design, and evaluation system were analyzed. As a result, each AI courseware provided unique functional features for students, teachers, and evaluation, but the ability to modify and configure teaching and learning was limited. Based on these results, implications for the direction of development of AI courseware in mathematics education were presented.

• Journal of The Korean Association of Information Education
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• v.26 no.5
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• pp.397-406
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• 2022

In this study, We confirmed the three major policy directions presented in "Educational Policy Direction and Core Tasks in the Age of Artificial Intelligence" announced by the government in 2020, and analyzed how the direction and key tasks are reflected in the policy from keywords selected from government policy data related to artificial intelligence education published between '20 and '22. It was extracted and analyzed how the direction and key tasks are reflected in the policy. As a result of text mining and the topic analysis, the direction of education set was analyzed and various types of activities for nurturing talents in the field of artificial intelligence were confirmed. Ultimately, the government's policy direction is to apply the '25 revised curriculum in earnest, while advancing and activating the AI education policy and allowing it to settle naturally in the field. It could be predicted that related policies and tasks would appear more and more.

• Journal of the Korea Society of Computer and Information
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• v.29 no.2
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• pp.197-209
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• 2024

This study aimed to analyze recent research trends in Artificial Intelligence (AI) education within South Korea with the overarching objective of exploring the future direction of AI education. For this purpose, an analysis of 697 papers related to AI education published in Research Information Sharing Service (RISS) from 2016 to November 2023 were analyzed using word cloud and Latent Dirichlet Allocation (LDA) topic modeling technique. As a result of the analysis, six major topics were identified: generative AI utilization education, AI ethics education, AI convergence education, teacher perceptions and roles in AI utilization, AI literacy development in university education, and AI-based education and research directions. Based on these findings, I proposed several suggestions, (1) including expanding the use of generative AI in various subjects, (2) establishing ethical guidelines for AI use, (3) evaluating the long-term impact of AI education, (4) enhancing teachers' ability to use AI in higher education, (5) diversifying the curriculum of AI education in universities, (6) analyzing the trend of AI research, and developing an educational platform.

• International Journal of Advanced Culture Technology
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• v.8 no.3
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• pp.186-191
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• 2020

Artificial Intelligence (AI) technology is used in a variety of fields because it can make inferences and plans through learning processes. In the field of coding technologies, AI has been introduced as a tool for personalized and customized education to provide new educational environments. Also, it can be used as a virtual assistant in coding operations for easier and more efficient coding. Currently, as coding education becomes mandatory around the world, students' interest in programming is heightened. The purpose of coding education is to develop the ability to solve problems and fuse different academic fields through computational thinking and creative thinking to cultivate talented persons who can adapt well to the Fourth Industrial Revolution era. However, new non-computer science major students who take software-related subjects as compulsory liberal arts subjects at university came to experience many difficulties in these subjects, which they are experiencing for the first time. AI based coding technologies can be used to solve their difficulties and to increase the learning effect of non-computer majors who come across software for the first time. Therefore, this study examines the current state of AI based coding technologies and suggests the direction of future coding education.

• Journal of the Korea Society of Computer and Information
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• v.28 no.1
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• pp.201-208
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• 2023

As the demand for AI education increases, AI education is actively conducted in the educational field, but it is difficult to internalize AI education due to securing time, difficulty in organizing class contents, and lack of curriculum. As a way to solve this problem, there is a school autonomous course. The school autonomous course allows schools to have autonomy and discretion throughout the curriculum, such as adjusting the number of hours in the subject group and restructuring the use of achievement standards. In this study, in order to enhance AI education, the effect was analyzed by developing and applying an AI education immersion course using a school autonomous curriculum. In the AI education immersion course, students continuously experience AI education in a dense manner within a limited time, so substantial AI education can be achieved. After the AI curriculum, it was found that students' overall AI literacy and self-determination learning motivation improved. It is expected that this study will be able to present a direction to internalize AI education using school autonomous curriculum.

• Journal of The Korean Association of Information Education
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• v.25 no.2
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• pp.279-288
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• 2021

The interest in artificial intelligence education in education is also high based on recent social interest in artificial intelligence. Accordingly, Korea is preparing a foothold for revitalizing artificial intelligence education in the future, such as announcing an artificial intelligence education plan by expanding from software (SW) education that has become a regular curriculum after the 2015 revised curriculum, and various studies are being conducted. However, research on the curriculum related to what and how to educate in artificial intelligence education is still in its infancy and further research is needed. A look at related research shows many similarities and differences in research related to domestic and foreign AI curriculum, because there are differences in the areas and content elements that each research focuses on. Therefore, in this study, in preparation for the future independence of the information subject and the formalization of AI education, literature studies on domestic and foreign AI curriculum are conducted, and based on this, the direction of the curriculum composition for elementary school AI education is to be explored.

• Journal of The Korean Association of Information Education
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• v.25 no.6
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• pp.973-985
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• 2021

The purpose of this study is to suggest the direction and implications of learning with AI in the future by analyzing the trends of research learning with AI in the field of education. For doing this, the final 78 papers published in domestic journals over the past three years from 2019 to July 2021 were selected for analysis through review. The analysis results are as follows. First of all, papers in 2020 among the three years were most published, and the most utilized research method was the qualitative research. In addition, according to the analysis by study subject, studies on elementary school students were the most common, followed by studies on college and graduate students. In the analysis by subject, research related to foreign language education was most utilized and chatbot was most used in the AI technology type. Finally, the research learning with AI accounted for the majority, and student support accounted for the majority as the type of education system learning with AI at the implementation stage among the areas of teaching and learning and evaluation. Based on these results, the direction and implications of learning with AI in the future were presented. This study is meaningful in that it grasped research trends of learning with AI in domestic from an overall perspective, and examined learning with AI focusing on the instructor-learner and the teaching and learning design process.

• Research in Mathematical Education
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• v.27 no.1
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• pp.49-73
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• 2024

This study aims to explore the direction of high school statistics education in Korea through a comparative analysis between the revised 2022 Korea mathematics curriculum and the IBDP Mathematics: Application & Interpretation Standard Level (IBDP AI SL) Curriculum and textbooks. The study seeks to investigate the Statistics unit of the two curricula, compare chapter structures and content elements of textbooks, and explore exercises on modeling and utilization of technology tools. The results are as follows: First, the IBDP AI SL statistics covered a broader range of topics. Second, exercises in Korean high school textbooks typically inquire about one or two questions in each topic, whereas the IBDP AI SL textbook's exercises present a real-life scenario on all relevant topics through sub-questions. Third, the Korean textbook guides the utilization of technology tools only in exercises presented after completing the entire chapter or where the calculation is complex. Also, there were only a handful of modeling exercises in the Korean textbook in contrast to most of the lessons and exercises were modeling exercises in the IBDP AI SL textbook. If these findings can be integrated into teaching practices in Korea, it will provide a direction for statistics education in Korean high schools.

• Journal of Christian Education in Korea
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• v.67
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• pp.157-194
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• 2021

The issue of AI's ethical consciousness has been constantly on the rise. AI learns and imitates everything behavior human beings do, just like a child. Therefore, the ethical consciousness we currently demand from AI is first the ethical consciousness required of humans, and at the center of it is the dignity of humans. Thus, this study analyzed human identity and its problems according to the development of AI technology, apologized the theological premises and characteristics of human dignity, and sought the direction of human dignity education as follows. First, this study discussed the development of AI and its relation to human beings. The development of AI's technology has led to the sharing of "reason or intelligence" with machines called AI which have been restricted to the exclusive property of mankind. This raised the question of the superior humanity which humans would be remained to be distinguished from AI machines. Second, this study discussed transhumanism and human identity. Transhumanism has been argued for the combination of AI machines and humans in order to improve inefficient human intelligence and human capabilities. However, the combination of AI machines with humans raised the issue of human identity. In the AI era, human identity is to believe thoughts that God had when he built us. Third, this study apologized theological premise and characteristic about human dignity. Human dignity has become a key concept of the constitution and international human rights treaties around the world. Nonetheless, declarative conviction that human is dignified is difficult to be understanded without Christian theological premise. Theological premise of human dignity lies on the fact that human is dignified feature being granted life by Heavenly Father. This feature lies on longing for "Goodness" and "eternality", pursuit of beauty, a happy being in relationship with others. Fourth, this study presented the direction of human dignity education. The direction of human dignity education has to awaken what is identity of human and how human beings were created and how much they are precious. Furthermore, it lead human to ponder consciously and accept the highest value of what human beings are, how they were created, and how precious they are. That is about educating human identity, and its core is that regardless of the circumstances - the wealth gap, knowledge level, skin color, gender, age, disability, etc. - all people are in God's image and for the glory of God, thereby being very important to God.