• Journal of The Korean Association of Information Education
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• v.21 no.5
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• pp.527-535
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• 2017

In this study, we analyzed the image of artificial intelligence recognized by elementary students using semantic differential scale. First, we extracted 23 pairs of image adjectives related to perception of artificial intelligence. Adjectives were classified into three types related to recognition, emotion and ability and 827 elementary students were examined. Image factors were classified into four factors: convenience, technological progress, human-friendliness, and concern. As a result, they showed a clear image that artificial intelligence is clever, new, and complex but exciting. In comparison with variables, female students, coding experience and older students thought that artificial intelligence was more human-friendly and technological progressive.

• The Journal of Korean Association of Computer Education
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• v.23 no.2
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• pp.13-20
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• 2020

The interest in artificial intelligence is due to an increase in influence on companies, organizations, daily lives and society. The purpose of this study is to analyze the key elements in the teaching subjects of artificial intelligence-related subjects of Korean universities based on the intelligent system area of Computer Science 2013 in terms of human resources development. According to the analysis, there are five out of nine universities that run the required courses. Based on the 12 detailed knowledge domains of intelligent systems, the compulsory subjects of universities are distributed in the field of basic search theory, basic knowledge expression and reasoning, and inference based on uncertainty. The elective courses of each university covered topics in five to eight areas of the total knowledge area of the intelligent system, with 69.9 percent of universities with the highest average ratio of areas involving the subject of teaching subjects and 46.3 percent of universities with the lowest. This study has implications for the fact that prior to entering an artificial intelligence graduate school, we were able to grasp the level of knowledge about artificial intelligence at the undergraduate level.

• Journal of Korean Elementary Science Education
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• v.40 no.4
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• pp.433-442
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• 2021

The purpose of this study is to develop an artificial-intelligence STEAM program for real-time interactive online class for elementary science and to analyze its effect on science academic achievement and creative problem-solving ability. The applied unit was 'Life of plant', a 4th grade science subject with high difficulty in teaching and learning mainly by memorization. The theme of the program is 'Creating a doctor of plant artificial intelligence chatbot'. The results of this study were as follows: The program developed in this study had a positive effect on elementary school students' science academic achievement and creative problem-solving ability. Therefore, the artificial intelligence STEAM program for elementary science interactive online class is effective in improving students' scientific academic achievement and creative problem-solving ability, and further research on artificial intelligence STEAM education theory, method, and practice is required.

• Journal of Internet of Things and Convergence
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• v.9 no.4
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• pp.71-75
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• 2023

Changes in modern society are resulting in the emergence of various service models that apply software and artificial intelligence, and all fields are rapidly changing based on software and artificial intelligence. Education on software and artificial intelligence is emerging as a major influencing factor that determines national competitiveness. Following these social changes, interest in the use of software and artificial intelligence is quite high. Starting in 2025, software and artificial intelligence-related curricula are scheduled to be introduced into public education in elementary, middle, and high schools, so many educational activities are becoming active. In this study, based on the content of operating the software and artificial intelligence experience activity program, we would like to propose the efficiency of future learning programs and operating methods for software and artificial intelligence.

• The Mathematical Education
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• v.63 no.2
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• pp.335-350
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• 2024

This study explored the factors that influence elementary school teachers' intention to use an artificial intelligence (AI) math learning system and analyzed the interactions and relationships among these factors. Based on the technology acceptance model, perceived usefulness for math learning, perceived ease of use of AI, and attitude toward using AI were analyzed as the main variables. Data collected from a survey of 215 elementary school teachers was used to analyze the relationships between the variables using structural equation modeling. The results of the study showed that perceived usefulness for math learning and perceived ease of use of AI significantly influenced teachers' positive attitudes toward AI math learning systems, and positive attitudes significantly influenced their intention to use AI. These results suggest that it is important to positively change teachers' perceptions of the effectiveness of using AI technology in mathematics instruction and their attitudes toward AI technology in order to effectively adopt and utilize AI-based mathematics education tools in the future.

• 한국정보교육학회:학술대회논문집
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• 2021.08a
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• pp.289-294
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• 2021

With the development of artificial intelligence, a wave of the 4th industrial revolution is taking place around the world. With the technologies such as big data and Internet of Things-based artificial intelligence, we are heading to a hyper-connected society where everything converges into one. Accordingly as educational talents in the era of artificial intelligence, we are pursuing the cultivation of creative convergence-type talents and emotional creative talents. With human creativity and emotion at the center, we should be able to collaborate with artificial intelligence and create new things by converging knowledge in various fields. By developing a program that combines humanities-oriented Korean language with engineering-oriented artificial intelligence, this research attempted to help students experience solving problems creatively by combining humanistic knowledge with engineering thinking skills. The educational program consists of two kinds of contents(i.e., "Books with AI" and "A Play with AI") and 15 classes that provide students with opportunities to solve humanities problems with artificial intelligence.

• 한국정보교육학회:학술대회논문집
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• 2021.08a
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• pp.327-333
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• 2021

Currently development of the Artificial Intelligence technology is rapidly progressing in the era of the Fourth Industrial Revolution. The government is trying to improve the education of Artificial Intelligence and cultivating human resources. However there are very few cases where A.I technology is actually used in public education classes. Therefore we designed a text repository by implementing A.I speech recognition to provide career counseling for elementary school students. In the meantime, there have been many difficulties in giving advance consultations required for students' career counseling. In this study we suggested A.I speech recognition technology which can solve addressed problem and we planned various ways to make the program more educational. To conclude we expect A.I technology implemented in this study provides effective solution to career counseling.

• Communications of Mathematical Education
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• v.38 no.1
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• pp.49-67
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• 2024

Recent interest in the diverse applications of artificial intelligence (AI) language models has highlighted the need to explore didactical uses in mathematics education. AI language models, capable of natural language processing, show promise in solving mathematical word problems. This study tested the capability of ChatGPT, an AI language model, to solve word problems from elementary school textbooks, and analyzed both the solutions and errors made. The results showed that the AI language model achieved an accuracy rate of 81.08%, with errors in problem comprehension, equation formulation, and calculation. Based on this analysis of solution processes and error types, the study suggests implications for the didactical application of AI language models in education.

• 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 Practical Engineering Education
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• v.16 no.1_spc
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• pp.65-70
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• 2024

As the interest in AI education grows, researchers have made efforts to implement AI education programs. However, research targeting pre-service teachers has been limited thus far. Therefore, this study was conducted to develop an AI literacy education program for preservice secondary teachers. The research results revealed that the weekly topics included the definition and applications of AI, analysis of intelligent agents, the importance of data, understanding machine learning, hands-on exercises on prediction and classification, hands-on exercises on clustering and classification, hands-on exercises on unstructured data, understanding deep learning, application of deep learning algorithms, fairness, transparency, accountability, safety, and social integration. Through this research, it is hoped that AI literacy education programs for preservice teachers will be expanded. In the future, it is anticipated that follow-up studies will be conducted to implement relevant education in teacher training institutions and analyze its effectiveness.