• International journal of advanced smart convergence
• /
• v.11 no.3
• /
• pp.79-84
• /
• 2022

Due to a series of online sex crimes cases and online class conversions caused by the spread of the coronavirus, alternatives to sex education in schools are urgently required. As a result of this study, the metaverse sex education platform was designed. Using this platform, learners are expected to cultivate correct adult awareness and digital citizenship. Within the metaverse platform, learners can participate more actively in learning. Instead of exposing one's name and face in a place dealing with sensitive gender issues, one can participate in education through his or her decorated avatar and participate in education much more actively than face-to-face education and express one's opinion through chat. In addition, education by level can be received regardless of time and place, which can have the effect of bridging the educational gap between urban and rural areas. In this paper, we propose a new sex education platform without time and space constraints by utilizing metaverse.

• Korean Journal of Childcare and Education
• /
• v.11 no.6
• /
• pp.177-198
• /
• 2015

This study is aimed at a comparison analyzing the contents of child 'safety education' in Three-four-year-old Nuri curriculum manual for teachers related activity type and activity form, life theme based on the criteria of analysis. First, the number of contents of child 'safety education' included in the 3 year old Nuri curriculum manual for teachers was 136, and among them, 71(52.2%) were from in big and small group activity. Total 124 contents were in 4-year old group and showed 58(46.8%) contents in big and small group activity. Second, it was identified that the Three-four-year-old Nuri curriculum handled highest number of child 'safety education' activities. Twenty-five activities from 'appliances' among a total of 127 child 'safety education' activities were included and included 21 activities in contents of 'safety for object, tool, and apparatus.' Thirty-three activities among 'health and safety' among a total of 131 child 'safety education' activities were included and it was identified that the highest number of child 'safety education' activities were conducted in 'safety for disease' contents. It will be hope to suggest some of the providing child 'safety education' of Three-four-year-old in education field, and to provide basic data for planning and suggesting directions for various training related to child safety education. Moreover, this study intends to provide basic data for composing necessary manual and program for child 'safety education' and to provide basic data for expanding the safety experience facility.

• Journal of The Korean Association of Information Education
• /
• v.26 no.1
• /
• pp.45-53
• /
• 2022

The need for artificial intelligence education has emerged, and countries around the world are announcing artificial intelligence strategies. Artificial intelligence education is reflected in the main points of the 2022 revised curriculum general published in Korea. Along with this interest, programs related to artificial intelligence education are being developed, but it is difficult to find artificial intelligence programs for lower grades of elementary school. This study aims to develop a data collection education program for the lower grades of elementary school through a series of analysis-design-development-application-evaluation processes and apply it to first-grade elementary school students to verify its effectiveness. Through the developed program, it is expected that students will be able to understand and feel interested in artificial intelligence, and develop an attitude of collecting data in their daily lives through the process of searching for various types of data in their daily lives.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2017.01a
• /
• pp.223-224
• /
• 2017

한 보고서에 따르면, 경제가 불황이라도 먹거리에 대한 인간의 욕구 때문에 식품산업은 그 범위와 규모가 다양한 형태로 확장되고 있다. 특히, 글로벌 살아가는 현대에서는 식품에 대한 종류와 식자재 수급에 대한 국경은 이미 사라진 상태이다. 이러한 현실에서의 식자재는 환율, 기상기후, 농축수산물의 거래량 등에 따라 수요와 가격이 불규칙적으로 변화하고 있다. 본 논문에서는 이러한 데이터들을 수집하고 분석하여 식품 수요에 따른 식자재에 대한 관련 정보를 사이니지 형태로 제공하는 서비스를 제안한다.

• The Journal of Information Systems
• /
• v.29 no.1
• /
• pp.225-240
• /
• 2020

Purpose The purpose of this study is to identify features of Gapjil and platform tyranny through South Korea's Gapjil and platform tyranny cases and to suggest countermeasures to both kinds of cases and follow-up study subjects. Methodology/approach We examined South Korea's Gapjil and platform tyranny cases by using Big Data analytics. Then we made a close examination of the two typical cases, through which we compared features and countermeasures of Gapjil and those of platform tyranny. Findings Gapjil mostly occurred at conventional companies and franchise companies, between major and minor companies, or due to lack of owner's qualifications. The features of platform tyranny were excessively monopolistic structure of platform business, inadequate legal sanctions, and features of ICT companies. Establishment of legal bases for sanctions and education for platform participants were suggested as countermeasures.

• Journal of Korea Multimedia Society
• /
• v.22 no.2
• /
• pp.250-259
• /
• 2019

Big data processing technology and artificial intelligence (AI) are increasingly attracting attention. Natural language processing is an important research area of artificial intelligence. In this paper, we use Korean news articles to extract topic distributions in documents and word distribution vectors in topics through LDA-based Topic Modeling. Then, we use Word2vec to vector words, and generate a weight matrix to derive the relevance SCORE considering the semantic relationship between the words. We propose a way to recommend documents in order of high score.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2022.07a
• /
• pp.351-354
• /
• 2022

본 연구는 최근 2022년 6월 1일에 실시된 전국 시도교육청 교육감 선거를 계기로 진행된 연구이다. 본 연구의 목적은 2010년 1월 1일부터 2022년 6월 10일까지 '교육감 직선제'를 다룬 언론사 기사들을 분석하여 그 결과를 객관적으로 제시하는 것이다. 분석 대상은 2010년 1월 1일부터 2022년 6월 10일까지 기간을 설정한 후, '교육감'과 '직선제' 2개의 용어가 모두 포함된 국내 54개 주요 언론사 뉴스 기사들(5,610건)이다. 본 연구에서는 뉴스 빅데이터 분석시스템인 빅카인즈(BIGKinds) 서비스를 적극적으로 이용하여 뉴스 트렌드 분석, 네트워크(관계도) 분석, 연관어 분석 등을 진행하였다. 본 연구자료는 관련 학문 연구자와 교육 현장 종사자들에게 시사점을 줄 수 객관적인 자료로 활용될 것이다. 본 연구는 향후 지방교육자치와 교육감 선거의 발전적 모델 탐색을 위한 다양한 연구 과정으로 확대 전개하고자 한다.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.19 no.2
• /
• pp.25-40
• /
• 2019

Many companies are executing big data analysis and utilization projects to legitimize the development of new business areas or conversion of management or technical strategies. In Korea and abroad, however, such projects are failing because they are not completed within specified deadlines, which is not unrelated to the current situation in which the knowledge base for big data project risk management from an engineering perspective is grossly lacking. As such, the current study analyzes the risk factors of big data implementation and utilization projects, in addition to finding risk factors that are highly important. To achieve this end, the study extracts project risk factors via literature review, after which they are grouped using affinity methodology and sifted through expert surveys. The deduced risk factors are structuralize using factor analysis to develop a table that categorizes various types of big data project risk factors. The current study is significant that in it provides a basis for developing basic control indicators related to risk identification, risk assessment, and risk analysis. The findings from the study contribute greatly to the success of big data projects, by providing theoretical basis regarding efficient big data project risk management.

• Journal of the Korea Society of Computer and Information
• /
• v.25 no.9
• /
• pp.37-44
• /
• 2020

AI technology has developed in the form of decision support technology in law, patent, finance and national defense and is applied to disease diagnosis and legal judgment. To search real-time information with Deep Learning, Big data Analysis and Deep Learning Algorithm are required. In this paper, we try to predict the entrance rate to high-ranking universities using a Deep Learning model, RNN(Recurrent Neural Network). First, we analyzed the current status of private academies in administrative districts and the number of students by age in administrative districts, and established a socially accepted hypothesis that students residing in areas with a high educational fever have a high rate of enrollment in high-ranking universities. This is to verify based on the data analyzed using the predicted hypothesis and the government's public data. The predictive model uses data from 2015 to 2017 to learn to predict the top enrollment rate, and the trained model predicts the top enrollment rate in 2018. A prediction experiment was performed using RNN, a Deep Learning model, for the high-ranking enrollment rate in the special education zone. In this paper, we define the correlation between the high-ranking enrollment rate by analyzing the household income and the participation rate of private education about the current status of private institutes in regions with high education fever and the effect on the number of students by age.

• 한국정보교육학회:학술대회논문집
• /
• 2021.08a
• /
• pp.275-281
• /
• 2021

Much of our lives are closely related to artificial intelligence, and society is changing more rapidly. Reflecting this era, the need for artificial intelligence education has emerged and various learning methods have been proposed, but guidance on artificial intelligence teaching and learning activities for lower grades elementary school students is insufficient. Therefore, in this study, the data collection education program for the lower grades of elementary school was developed based on the contents standards of the Korea Foundation for the Advancement of Science & Creativity. Focusing on the principles of artificial intelligence and the detailed data area of the utilization area, the focus was on expressing numbers and letters in various ways, such as colors and pictures, and finding various types of data in life to learn the principles of artificial intelligence. Through this program, it is expected that lower-grade elementary school students will be able to understand the importance of data collection in artificial intelligence through the process of knowing about data and collecting sound, picture, and text data.