• Journal of Software Assessment and Valuation
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• v.17 no.2
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• pp.59-73
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• 2021

Recently, artificial intelligence has spread rapidly and popularized and expanded to the voice recognition personal service sector, and major countries have established artificial intelligence promotion strategies, but in the case of South Korea's defense domain, its influence is low with a geopolitical location with North Korea. This paper presents a total of six strategies for promoting South Korea's defense artificial intelligence, including establishing roadmaps, securing manpower, installing the artificial intelligence base, and strengthening cooperation among stakeholders in order to increase the impact of South Korea's defense artificial intelligence and successfully promote artificial intelligence. These suggestions are expected to establish the foundation for expanding the base of artificial intelligence.

• 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.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.

• The Journal of Society for e-Business Studies
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• v.25 no.2
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• pp.65-98
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• 2020

The adoption of artificial intelligence technology is continuously increasing in online stores. However, there have been no empirical studies that examine whether each of the artificial intelligence functions affects consumers' continuance intent to shop online. This study aims to understand the effect of the main function of artificial intelligence on the continuance intention of online store via empirical analysis. In particular, we focus on how artificial intelligence as a resource affects the heterogeneity of online stores in terms of resource-based views. We also analyzed the mediating effect of online store's image (product and service) between artificial intelligence (AI) functions and continuance intention. The results suggest that the presence of AI function on online stores positively influence the continuance intention from the resource-based perspective. Furthermore, it was found that AI technology positively affects the image of a product and service. We also found that there was a difference in the way of influencing the intention to use online stores by AI functions.

• Proceedings of the Korean Society of Computer Information Conference
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• 2020.07a
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• pp.203-204
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• 2020

챗봇이란 인공지능 기반으로 인간과 대화하는 로봇을 일컬으며, 요청과 응답구조로 운영되는 인공지능 프로그램을 말한다. 챗봇은 사용자와 상호작용하기 위해 대화형 인터페이스를 사용하는 소프트웨어로 기존 사용자의 언어를 이해하고 학습하여 인간이 대화하듯이 대화를 하도록 설계되어있다. 챗봇을 사용하는 회사는 인건비를 줄이고 빅데이터를 기반으로 전문적이고 정확한 답변을 제공할 수 있어 활용 효율성이 높은 편이다. 그러나 회사가 챗봇을 적극적으로 도입하고 사용자에게 긍정적인 영향을 줄 것이라는 기대와 달리 사용자는 챗봇을 계속 사용하지 않고있다. 따라서 본 논문은 챗봇 서비스의 지속사용의도에 영향을 미치는 요인들을 파악하고자 한다. 특히 인공지능 특성이 챗봇 서비스 지속적 사용의도에 미치는 영향을 연구한다.

• Journal of Christian Education in Korea
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• v.72
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• pp.183-203
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• 2022

The purpose of this study is to construct factors of AI education utilization competency. AI education utilization competency is used as basic data for education to enhance the AI education competency of pre-service early childhood teachers. To this end, 7 studies related to competency factors and models were selected by searching for previous studies. Seven preceding studies were analyzed. As a result, 18 competency factors were extracted, including understanding of artificial intelligence. The extracted competency elements were divided into six areas, which are divided into understanding subject knowledge through coding, class preparation, class management, class result feedback, class guidance, and self-development. And 15 factors were constructed. The draft formed through coding was improved through review by three early childhood education experts. Factors improved through expert review were structured by classifying them into knowledge, skills, and attitudes to organize the curriculum. The validity of the structured competency factor was verified through expert Delphi. As a result of the Delphi verification, all factors were converged in the first survey. Through this, 6 competency areas, 11 competency factors, and 19 competency factors were composed of knowledge, 10 skills, and 5 attitudes. The implication is that the competency factors presented as a result of this study can be used as basic data for organizing a curriculum to improve the ability of pre-service early childhood teachers to use artificial intelligence education.

• Journal of Korean Society of Archives and Records Management
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• v.17 no.4
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• pp.225-250
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• 2017

The Fourth Industrial Revolution has become a focus of attention. Artificial intelligence (AI) is the key technology that will lead us to the industrial revolution. AI is also used to facilitate efficient workflow in records and archives management area, particularly abroad. In this study, we introduced the concept of AI and examined the background on how it rose. Then we reviewed the various applications of AI with prominent examples. We have also examined how AI is used in various areas such as text analysis, and image and speech recognition. In each of these areas, we have reviewed the application of AI from the viewpoint of records and archives management and suggested further utilization of the methods, including module and interface for intelligent records and archives information services.

• 한국정보교육학회:학술대회논문집
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• 2021.08a
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• pp.295-301
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• 2021

This study tried to examine the necessity of AI literacy education to increase the effectiveness of artificial intelligence education ahead of the revision of the next revised curriculum. To this end, AI modeling classes were conducted for high school students and the necessity, content, and training period of AI literacy perceived by students in AI education were investigated through a questionnaire. The results showed that they generally agreed on the need for data utilization and data preprocessing in the AI class, and in the course of the AI class, there were many cases of difficulties due to lack of basic competencies for database use. In particular, it was observed that the understanding of the file structure for data analysis was insufficient and the understanding of the data storage format for data analysis was low. In order to overcome this part, the necessity of prior education for data processing was recognized, and there were many opinions that it is generally appropriate to go to high school at that time. As for the content elements of AI literacy, it was found that there were high demands on the content of data visualization along with data transformation, including data creation and deletion.

• Journal of Digital Convergence
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• v.16 no.8
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• pp.279-285
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• 2018

The purpose of this study is to propose the role of future designers and capabilities to be developed in the age of A.I. Active and preliminary designers should prepare themselves to develop necessary capabilities. As a method of study, we investigated the meaning of design and the changing role of designers from the past to present. Additional research was conducted on generative design, design processes, and A.I based design software. Finally, based on the analysis, we proposed the role of future designers and their capabilities in the age of A.I. In conclusion, the role of future designer should lead social innovation through creativity by coworking with artificial intelligence based on understanding and empathy for users. Based on this research, designers are expected to develop unique humanities skills such as empathy and creativity and work with AI in response to $4^{th}$ industrial revolution.

• Journal of The Korean Association of Information Education
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• v.26 no.1
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• pp.65-73
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• 2022

In this study, by using Entry text model learning, educational contents for artificial intelligence education of elementary school students are developed and applied to actual classes. Based on the elementary and secondary artificial intelligence content table, the achievement standards of practical software education and artificial intelligence education will be reconstructed.. Among text, images, and sounds capable of machine learning, "production of emotion recognition programs using text model learning" will be selected as the educational content, which can be easily understood while reducing data preparation time for elementary school students. Entry artificial intelligence is selected as an education platform to develop artificial intelligence education contents that create emotion recognition programs using text model learning and apply them to actual elementary school classes. Based on the contents of this study, As a result of class application, students showed positive responses and interest in the entry AI class. it is suggested that quantitative research on the effectiveness of classes for elementary school students is necessary as a follow-up study.