• Journal of The Korean Association of Information Education
• /
• v.24 no.4
• /
• pp.391-400
• /
• 2020

While artificial intelligence (AI) is attracting attention as a core technology in the era of the 4th industrial revolution, needs for artificial intelligence education to cultivate AI literacy is emerging. In this regard, we developed and applied a project-based AI education program for elementary and middle school students, and analyzed its effects. Participants were assigned into teams with three members, and each team engaged in a project-based AI education program for two nights and three days. In the project, they selected an real-world problem they wanted and devised an AI-enabled artifact to solve it. The effectiveness of the program was investigated with the changes in attitude and efficacy of learners toward artificial intelligence. The results showed that the AI project learning positively changed both attitudes and efficacy toward artificial intelligence at a statistically significant level. This change was more pronounced as the level of perceived programming skills increased, and the level of interest in the project learning increased.

• Journal of The Korean Association of Information Education
• /
• v.24 no.6
• /
• pp.573-584
• /
• 2020

This study is about the development of AI algorithm education program using cognition modeling to positively improve students' image on AI. First, we analyzed the concept of user-based collaborative filtering and developed the education program using the cognition modeling method. We checked the adequacy of program through the expert validity test. Both CVR values for the content development method of cognitive modeling and the developed program showed validity above .80. We applied the developed program to elementary school students in class. The test was conducted using a semantic discrimination to examine changes in students' perception of artificial intelligence before and after. We were able to confirm that the students' AI images were significant positive change in 12 of the 23 words in the adjective pair.

• 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.

• Journal of the Korea Convergence Society
• /
• v.10 no.11
• /
• pp.33-39
• /
• 2019

Edutech, which combines education and information technology, is in the spotlight. Core technologies of the 4th Industrial Revolution have been actively used in education. Students use an AI-based learning platform to self-diagnose their needs. And get personalized training online with a cloud learning platform. Recently, a new educational medium called smart speaker that combines artificial intelligence technology and voice recognition technology has emerged and provides various educational services. The purpose of this study is to suggest a way to use smart speaker educationally to overcome the limitation of existing education. To this end, the concept and characteristics of smart speakers were analyzed, and the implications were derived by analyzing the contents provided by smart speakers. Also, the problem of using smart speaker was considered.

• Journal of Practical Engineering Education
• /
• v.12 no.2
• /
• pp.301-308
• /
• 2020

There are concerns that the recent surge in multicultural families and the continuation of non-face-to-face education, such as remote classes caused by COVID-19, are causing educational gaps among lower grades in elementary school. In particular, the importance of reading, writing and listening to our language should be established in lower grades of elementary school. Therefore, the research has recently developed contents that can enhance understanding by utilizing highly interested artificial intelligence tools and provide interesting Korean language education through play. In the future, there will be various attempts for artificial intelligence tools to be used in lower-grade elementary school education.

• Journal of Practical Engineering Education
• /
• v.15 no.2
• /
• pp.529-538
• /
• 2023

At the present time when the need for universal artificial intelligence education is expanding and job changes are being made, research and discussion on artificial intelligence liberal arts education for non-majors in universities who experience artificial intelligence as part of their job is insufficient. Although artificial intelligence education courses for non-majors are being operated, they are mainly operated as theory-oriented education on the concepts and principles of artificial intelligence. In order to understand the general concept of artificial intelligence for non-majors, it is necessary to proceed with experiential learning in parallel. Therefore, this study designs artificial intelligence experiential education learning contents of difficulty that can reduce the burden of artificial intelligence classes with interest in learning by considering the characteristics of non-majors. After, we will examine the learning effect of experiential education using App Inventor and the Orange artificial intelligence platform. As a result of analysis based on the learning-related data and survey data collected through the creation of AI-related projects by teams, positive changes in the perception of the need for AI education were found, and AI literacy skills improved. It is expected that it will serve as an opportunity for instructors to lay the groundwork for designing a learning model for artificial intelligence experiential education learning.

• The Journal of the Convergence on Culture Technology
• /
• v.10 no.2
• /
• pp.311-322
• /
• 2024

This study is a scoping review to identify the research trend on the awareness and use of artificial intelligence in the nursing field in South Korea. The methodological framework of Arskey and O'Malley was used, and studies published from 2010 to 2023 were analyzed. A total of 20 studies were used in the final review, and most of the descriptive studies were published in academic journals. The most relevant variables in artificial intelligence research were related to clinical nursing, and the literature topics were artificial intelligence recognition and readiness for the use of artificial intelligence, nursing adaptation, and artificial intelligence-related nursing ethics. This study systematically analyzed the current status of artificial intelligence in the nursing field in Korea and suggested the direction of further research. This study propose follow-up research to develop the capacity to utilize artificial intelligence in Korea's nursing clinical and educational sectors and to support its effectiveness.

• Journal of The Korean Association of Information Education
• /
• v.25 no.5
• /
• pp.813-824
• /
• 2021

To improve educational performance by analyzing the learning trends of adult learners of Open High Schools, various algorithm models using artificial intelligence were designed and performance was evaluated by applying them to real data. We analyzed Log data of 115 adult learners in the cyber education system of Open High Schools. Most adult learners of Open High Schools learned more than recommended learning time, but at the end of the semester, the actual learning time was significantly reduced compared to the recommended learning time. In the second half of learning, the participation rate of VODs, formation assessments, and learning activities also decreased. Therefore, in order to improve educational performance, learning time should be supported to continue in the second half. In the latter half, we developed an artificial intelligence algorithm models using Tensorflow to predict learning time by data they started taking the course. As a result, when using CNN(Convolutional Neural Network) model to predict single or multiple outputs, the mean-absolute-error is lowest compared to other models.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2022.01a
• /
• pp.231-232
• /
• 2022

본 논문에서는 직업 교육 분야에 인공지능 융합 교육을 위한 파이썬 블록과 텍스트 동시 코딩 플랫폼을 설계하였다. 플랫폼에 코딩 언어로는 데이터 분석과 머신러닝의 다양한 라이브러리를 지원하고 있는 파이썬으로 하며, 직업 교육의 영역 전문가가 쉽게 직무 기능 파이썬 블록 모듈을 만들어 추가하고 커스터마이징을 할 수 있는 아키텍처를 갖고 있다. 제안한 플랫폼을 활용한 인공지능 융합 직업 분야로 바이오와 기계공학 분야의 블록 모듈을 추가하고 실습 예제를 만드는 과정을 보여 플랫폼의 유용성과 효율성을 보였다.

• The Journal of Korean Association of Computer Education
• /
• v.23 no.3
• /
• pp.17-30
• /
• 2020

Although the importance of Artificial Intelligence(AI) education is increasing, research on the development of test tools has not been conducted in AI education research in Korea has not been conducted. Accordingly, there is a limit to designing AI curriculum and analyzing the effect of the educational program. So, in this study, Test tool was developed that to measure the attitude toward artificial intelligence of middle school students. For the development of test tools, the objectives, components, factors, and test tools were developed through the discussion of AI education experts. The test tool was finally developed by item analysis, exploratory factor analysis and confirmatory factor analysis. Finally, the criteria of the developed test tool were analyzed. Future research is needed to analyze the effects of educational programs and to analyze factors affecting attitudes toward artificial intelligence in middle school students using developed test tools.