• Journal of Practical Engineering Education
• /
• v.16 no.1_spc
• /
• pp.65-70
• /
• 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.

• Journal of The Korean Association of Information Education
• /
• v.23 no.3
• /
• pp.229-235
• /
• 2019

By combining the elements of the game or game in education, it improves the interest of the students and improves academic achievement by creating an environment where they can participate directly. We propose a curriculum that can learn the core principles of the elementary curriculum through fusion. The proposed curriculum helps students to understand the principles of the elementary curriculum by learning the artificial intelligence method in board game form. Learning methods that incorporate such elements of the game will enable learners to learn the principles of IT so that they can develop their ability to understand objects from various perspectives and enhance their thinking skills. It is expected that the elementary artificial intelligence curriculum that incorporates the proposed gamification will contribute to the development of the information science curriculum, which has been highlighted recently from the 2015 curriculum.

• Journal of the Korea Society of Computer and Information
• /
• v.27 no.3
• /
• pp.225-238
• /
• 2022

Although the importance of literacy in Artificial Intelligence (AI) education is increasing, there is a lack of testing tools for measuring such competency. To address this gap, this study developed a testing tool that measures AI literacy among middle school students. This goal was achieved through the establishment of an expert group that was enlisted to determine the relevant factors and items covered by the proposed tool. To verify the reliability and validity of the developed tool, a field review, exploratory factor analysis, and confirmatory factor analysis were conducted. These procedures resulted in a testing tool comprising six domains that encompass 30 items. The domains are the social impact of AI (eight items), the understanding of AI (six items), AI execution plans (five items), problem solving with AI (five items), data literacy (four items), and AI ethics (two questions). The items are to be rated using a five-point Likert scale. The internal consistency of the tool was .970 (total), while that of the domains ranged from .861 to .939. This study can serve as reference for developing the analysis of AI literacy, teaching and learning, and evaluation in AI education.

• Journal of Convergence for Information Technology
• /
• v.12 no.2
• /
• pp.157-162
• /
• 2022

In a society full of knowledge and information, digital literacy and artificial intelligence (AI) education that can utilize AI technology is needed to solve numerous everyday problems based on computational thinking. In this study, data-centered AI education was conducted while teaching computer programming to non-computer programming students at universities, and the correlation between major factors related to academic performance was analyzed in addition to student satisfaction surveys. The results indicated that there was a strong correlation between grades and problem-solving ability-based tasks, and learning satisfaction. Multiple regression analysis also showed a significant effect on grades (F=225.859, p<0.001), and student satisfaction was high. The non-computer programming students were also able to understand the importance of data and the concept of AI models, focusing on specific examples of project types, and confirmed that they could use AI smoothly in their fields of interest. If further cases of AI education are explored and students' AI education is activated, it will be possible to suggest its direction that can collaborate with experts through interest in AI technology.

• Annual Conference on Human and Language Technology
• /
• 2021.10a
• /
• pp.139-143
• /
• 2021

최근 대용량 말뭉치를 기반으로 한 언어 모델이 개발됨에 따라 다양한 자연어처리 분야에서 사람보다 높은 성능을 보이는 시스템이 제안되었다. 이에 따라, 더 어렵고 복잡한 문제를 해결하기 위한 데이터셋들이 공개되었으며 대표적으로 기계독해 작업에서는 시스템이 질문에 대해 답변할 수 없다고 판단할 수 있는지 평가하기 위한 데이터셋이 공개되었다. 입력 받은 데이터에 대해 답변할 수 없다고 판단하는 것은 실제 애플리케이션에서 중요한 문제이기 때문에, 이를 해결하기 위한 연구도 다양하게 진행되었다. 본 논문에서는 문서를 이해하여 답변할 수 없는 데이터에 대해 효과적으로 판단할 수 있는 기계독해 시스템을 제안한다. 제안 모델은 문서의 내용과 질문에 대한 이해도가 낮을 경우 정확한 정답을 맞히지 못하는 사람의 독해 패턴에서 착안하여 기계독해 시스템의 문서 이해도를 높이고자 한다. KLUE-MRC 개발 데이터를 통한 실험에서 EM, Rouge-w 기준으로 각각 71.73%, 76.80%을 보였다.

• Journal of the Korea Computer Graphics Society
• /
• v.29 no.3
• /
• pp.85-92
• /
• 2023

Recently, interest in artificial intelligence has increased due to the development of artificial intelligence fields such as ChatGPT and self-driving cars. However, there are still many unknown elements in training process of artificial intelligence, so that optimizing the model requires more time and effort than it needs. Therefore, there is a need for a tool or methodology that can analyze the weight changes during the training process of artificial intelligence and help out understatnding those changes. In this research, I propose a visualization system which helps people to understand the accumulated weight changes. The system calculates the weights for each training period to accumulates weight changes and stores accumulated weight changes to plot them in 3D space. This research will allow us to explore different aspect of artificial intelligence learning process, such as understanding how the model get trained and providing us an indicator on which hyperparameters should be changed for better performance. These attempts are expected to explore better in artificial intelligence learning process that is still considered as unknown and contribute to the development and application of artificial intelligence models.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2024.05a
• /
• pp.627-630
• /
• 2024

본 연구는 인공지능(AI)과 인간이 만든 예술작품 사이의 나타나는 기술적 요소에서 나타나는 차이점 탐구를 통해, 인공지능 예술의 특성, 가능성, 한계를 파악하고, 예술가의 역할에 대한 심층적 이해를 도모하는 것을 목적으로 한다. 연구 결과는 AI 생성 예술이 인간 예술과 경쟁할 수 있으며, 일반 대중 사이에서 높은 미학적 가치를 인정받을 수 있음을 나타냈다. 또한 AI 가 예술창작에서 중요한 역할을 할 수 있음을 나타냈다. 본 연구는 예술계 내에서 AI 예술의 위치와 사회적 수용에 대한 더 깊은 이해를 제공할 것으로 기대된다.

• Journal of the Korea Society of Computer and Information
• /
• v.27 no.5
• /
• pp.69-76
• /
• 2022

In this paper, we presented the contents and methods of AI classes using AI platforms. First, we extracted the content elements of each stage of the AI class using the AI education platform from experts. Classes using the AI education platform were divided into 5 stages and 25 class elements were selected. We also conducted a survey of 82 teachers and analyzed the factors that they acted importantly at each stage of the AI platform class. As a result of the analysis, teachers regarded the following contents as important factors for each stage that are AI model preparation stage (the learning stage of the AI model), problem recognition stage (identification of problems and AI solution potential), data processing stage (understanding the types of data), AI modelingstage (AI value and ethics), and problem solvingstage (AI utilization in real life).

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

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