• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.5
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• pp.278-287
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• 2021

The purpose of this study is to research how a teaching personality and ethics in teaching affect the competence of students majoring in early childhood education. Questionnaires were distributed to 211 early childhood education students residing in I-city. For this study, frequency analysis, averages, and standard deviation were calculated by using SPSS 22.0, with Cronbach's alpha for the reliability test. To determine the relevance of each variable, correlation analysis and multiple regression analysis were done, with results as follows. First, the teaching personalities perceived most by the students were morality and educational principles. Ethics for infants and ethics for households were most perceived in the ethics of teaching; for competency, understanding of the curriculum, understanding infant protection, and learning support were perceived the most. Second, there is a statistically significant correlation among a teacher's personality, ethics, and competence. Third, the sub-factors of both personality and ethics have a positive effect on competence. The above results indicate that there should be multilateral research into students majoring in early childhood education to ensure they have correct and positive competency so they can provide high-quality early childhood education services, recognizing the importance of competence.

• Journal of The Korean Association of Information Education
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• v.18 no.1
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• pp.173-184
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• 2014

The ability to need information-oriented society is the convergence ability based in information ability. A new curriculum is demanded by new technology and circumstance to need the core ability. Korea Association of Information Education have studied a new curriculum and suggest a new plan that content of information education classified by 'computer system', 'SW production' and 'convergence activities'. Therefore, we studied on convergence activities of K-9. In this paper we firstly suggested concept of convergence ability as activities to use ICT, information communication ethics and robot. We nextly suggested object to achieve, teaching-learning methods and evaluation methods of convergence activities. We expect the curriculum we suggested about convergence activities will contribute to training talented individuals.

• Journal of Korea Entertainment Industry Association
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• v.15 no.4
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• pp.279-286
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• 2021

In this study, we looked at the appearance of Edutech, which is being put into the educational field after Corona 19, with the advent of the 4th industrial revolution. In the era of the 4th industrial revolution, the infrastructure, data, and service of Smart Stick that actively utilized ICT became the main pillars of smart education. In particular, smart education is being implemented through e-learning, smart learning, and edutech, and on this basis, it has become possible through the expansion and use of the Internet and computers, the dissemination of smart devices, and a software foundation using big data. Based on this, it was confirmed that Edutech is being implemented through the establishment of a quarantine safety net, a learning safety net, and a care safety net for individual learners and safe life based on artificial intelligence. Lastly, in order for edutech education using big data to become a discourse for everyone, it is necessary to consider artificial intelligence and ethics in the use and application of edutech.

• Journal of Broadcast Engineering
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• v.27 no.5
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• pp.694-702
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• 2022

This paper is the UX-based technology strategy research which is a solution to how conversational AI can be ethically evolved in the Metaverse environment. Since conversational AI influences people's on-offline decision-making factors through interaction with people, the Metaverse AI ethics must be reflected. In the machine learning process of conversational AI, cultural codes along with user's personal experience data must be included and considered to reduce the error value of user experience. Through this, the super-personalized Metaverse service can evolve ethically with social values. With above hypothesis as a result of the study, a conceptual model of a forward-looking perspective was developed and proposed by adding user experience data to the machine learning (ML) process for context-based interactive AI in the Metaverse service environment.

• Journal of Science Education
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• v.41 no.3
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• pp.297-317
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• 2017

The purpose of this study was to investigate the possibility of Science Social and Emotional Learning(SSEL). The factors of SSEL were suggested, and by utilizing them, the contents of middle school's science and Chemistry 1 textbook were analyzed. The factors are as follow: numeracy, information and communication technology, critical thinking, creative thinking, personal and social capability, ethical understanding, and intercultural understanding. The results showed that the 60~70% of textbooks put emphasis on numeracy, information and communication technology, critical thinking, creative thinking while some factors were limited in th contents, which were personal and social capability, ethical understanding, and intercultural understanding. Therefore, teacher should try to reconstruct the teaching and learning materials and fill in the deficiencies of SSEL factors through class activities. In addition, it is suggested to study specific application methods such as science activities or experiment activities in detail to meet social and emotional learning.

• Journal of The Korean Association For Science Education
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• v.32 no.7
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• pp.1124-1138
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• 2012

This study investigates Korean middle school students' perceptions as global citizens (i.e. ecological worldview, social and moral compassion, and socioscientific accountability) of Socioscientific Issues (SSI). We developed questionnaires that consisted of 20 Likert-type items to gauge their preceptions of the three different SSI contexts (i.e. nuclear power generation, bio-technology, climate change), and administered them to 225 9th grade students in Seoul. The results revealed that participants showed relatively high scores for ecological worldview but scored low on social and moral compassion across the SSI contexts. In addition, participants presented much higher scores for ecological worldview and socioscientific accountability regarding the issues of climate change. The participant responses indicated that they perceived more inter-connectedness with the environment and felt the responsibility of promoting sustainable development more to prevent further devastation in the context of climate change compared to nuclear power generation or biotechnology.

• Journal of The Korean Association of Information Education
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• v.26 no.4
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• pp.273-284
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• 2022

The goal of this paper is to propose the use of machine learning platforms in education to train learners to recognize data biases. Learners can cultivate the ability to recognize when learners deal with AI data and systems when they want to prevent damage caused by data bias. Specifically, this paper presents a method of data bias education using MachineLearningforKids, focusing on the case of AI baseball referee. Learners take the steps of selecting a specific topic, reviewing prior research, inputting biased/unbiased data on a machine learning platform, composing test data, comparing the results of machine learning, and present implications. Learners can learn that AI data bias should be minimized and the impact of data collection and selection on society. This learning method has the significance of promoting the ease of problem-based self-directed learning, the possibility of combining with coding education, and the combination of humanities and social topics with artificial intelligence literacy.

• Journal of Intelligence and Information Systems
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• v.29 no.3
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• pp.125-144
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• 2023

Recently, the use of Large Language Models (LLMs) such as ChatGPT has been increasing in various fields such as interactive commerce and mobile financial services. However, LMMs, which are mainly created by learning existing documents, can also learn various human biases inherent in documents. Nevertheless, there have been few comparative studies on the aspects of bias and discrimination in LLMs. The purpose of this study is to examine the existence and extent of nine types of discrimination (Age, Disability status, Gender identity, Nationality, Physical appearance, Race ethnicity, Religion, Socio-economic status, Sexual orientation) in LLMs and suggest ways to improve them. For this purpose, we utilized BBQ (Bias Benchmark for QA), a tool for identifying discrimination, to compare three large-scale language models including ChatGPT, GPT-3, and Bing Chat. As a result of the evaluation, a large number of discriminatory responses were observed in the mega-language models, and the patterns differed depending on the mega-language model. In particular, problems were exposed in elder discrimination and disability discrimination, which are not traditional AI ethics issues such as sexism, racism, and economic inequality, and a new perspective on AI ethics was found. Based on the results of the comparison, this paper describes how to improve and develop large-scale language models in the future.

• Journal of the Korea Convergence Society
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• v.13 no.4
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• pp.7-15
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• 2022

With the aim of an intelligent world in the age of individual customization through decentralization of information and technology, sharing/opening, and connection, we often see a tendency to cross expectations and concerns in the technological discourse and interest in artificial intelligence more than ever. Recently, it is easy to find claims by futurists that AI singularity will appear before and after 2045. Now, as part of preparations to create a paradigm of coexistence that coexists and prosper with AI in the coming age of artificial intelligence, a standard framework for setting up more correct AI ethics and regulations is required. This is because excluding the risk of omission of setting major guidelines and methods for evaluating reasonable and more reasonable guideline items and evaluation standards are increasingly becoming major research issues. In order to solve these research problems and at the same time to develop continuous experiences and learning effects on AI ethics and regulation setting, we collect guideline data on AI ethics and regulation of international organizations / countries / companies, and research and suggest ways to set up a standard framework (SF: Standard Framework) through a setting research model and text mining exploratory analysis. The results of this study can be contributed as basic prior research data for more advanced AI ethics and regulatory guidelines item setting and evaluation methods in the future.

• The Science & Technology
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• v.35 no.3 s.394
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• pp.93-94
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• 2002

제10회 수공학워크숍 개최 - 한국수자원학회/제4세대 원자로 개발을 위한 국제포럼(GIF) 개최 - 한국원자력연구소/제37회 대한민국산업디자인전람회 개최공고 - 산업자원부/호성이와 예담이의 과학여행.과학학습게임 - 국립중앙과학관/SF전문시나리오 공모 - 한국과학문화재단/2002년도 건축사시험 시행계획 - 건설교통부/2월 청소년 권장 사이트 선정 - 정보통신부ㆍ정보통신윤리위원회