• Journal of Engineering Education Research
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• v.20 no.5
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• pp.50-58
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• 2017

The purpose of this study is to explore the core competencies of the Fourth Industrial Revolution in the major newspaper articles of social network analysis and to examine the core competencies required by each field and target. To do this, we reviewed prior research focusing on core competency concepts and core competencies of engineering students, and analyzed 227 articles related to core competencies of the 4th Industrial Revolution, focusing on five major newspapers. Through analysis, we analyzed social network with 118 refined core competency keywords. As a result of the research, it was found that core competencies of the 4th Industrial Revolution are the degree centrality in terms 'creativity', 'problem solving ability', 'convergence ability', 'collaboration ability', 'conductivity', 'software ability', 'human literacy', 'personality' order. Also, as a result of the analysis of the ego centric network by field and target, the required core competencies of university and industry were found to be different. Through these discussions, it is necessary to restructure the core competence of engineering students in order to nurture the engineering talents necessary for the 4th Industrial Revolution.

• The Journal of the Convergence on Culture Technology
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• v.7 no.3
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• pp.89-94
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• 2021

Recently, the boundaries between people who produce and consume digital contents disappears due to the massive developments in information and communications technology (ICT) and the rapidly increasing spread of smartphones unlike in the traditional mass media (e.g., newspapers, radios, and TVs). Through the open service platform, the problem perception for each individual remains the same, but the problem solving methods varies as the service types have been diversified. The creation of added value through the growth of the new media platform industry is expected to enrich our lives, but it can also cause severe social side effects. For example, communication problems between social classes due to the information gap have led to generational conflict, and if such problems persist, it can cause national and social losses. Therefore, this paper analyzes the policy efforts to resolve the information gap and the necessity of the legalization of multimedia literary education to maximize the synergy effect through psychological model.

• Journal of the Korea Society of Computer and Information
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• v.29 no.4
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• pp.47-54
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• 2024

The importance of cultural arts education utilizing digital tools is increasing in terms of enhancing tech literacy, self-expression, and developing convergent capabilities. The creation process and evaluation of innovative multi-modal AI, provides expanded creative audio-visual experiences in users. In particular, the process of creating music with AI provides innovative experiences in all areas, from musical ideas to improving lyrics, editing and variations. In this study, we attempted to empirically analyze the process of performing tasks using an Audio and Music Generative AI platform and discussing with fellow learners. As a result, 12 services and 10 types of evaluation criteria were collected through voluntary participation, and divided into usage patterns and purposes. The academic, technological, and policy implications were presented for AI-powered liberal arts education with learners' perspectives.

• Journal of Engineering Education Research
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• v.25 no.6
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• pp.23-37
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• 2022

This study evaluated the engineering students' ethical sensitivity to an AI emotion recognition robot scenario and explored its characteristics. For data collection, 54 students (27 majoring in Convergence Electronic Engineering and 27 majoring in Computer Software) were asked to list five factors regarding the AI robot scenario. For the analysis of ethical sensitivity, it was checked whether the students acknowledged the AI ethical principles in the AI robot scenario, such as safety, controllability, fairness, accountability, and transparency. We also categorized students' levels as either informed or naive based on whether or not they infer specific situations and diverse outcomes and feel a responsibility to take action as engineers. As a result, 40.0% of students' responses contained the AI ethical principles. These include safety 57.1%, controllability 10.7%, fairness 20.5%, accountability 11.6%, and transparency 0.0%. More students demonstrated ethical sensitivity at a naive level (76.8%) rather than at the informed level (23.2%). This study has implications for presenting an ethical sensitivity evaluation tool that can be utilized professionally in educational fields and applying it to engineering students to illustrate specific cases with varying levels of ethical sensitivity.

• Journal of Engineering Education Research
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• v.21 no.2
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• pp.51-59
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• 2018

The author investigated the momentum of the maker movement and its educational implications with the following four research questions: 1. What is the maker movement? 2. What is the nature of our societal interest in the maker movement? 3. Which learning theories are associated with the maker movement? 4. What are the educational implications of the maker movement? The author reviewed the history of education in terms of the maker movement and concluded that Papert's learning-by-making approach provided a theoretical foundation of the maker movement. The maker movement aims to engage participants in Do-It-Yourself(DIY) activities, the spirit of tinkering, and a hands-on approach. Also, the maker movement meets the educational demands of fostering students' 21st-century abilities and technological literacy. Lastly, the author anticipated the issues that may arise following the introduction of the maker movement in K-12 schools. In conclusion, the author discussed the challenges of the school maker education movement and suggested the bottom-up approach to utilize the school resources of technology and engineering education.

• Journal of Information Processing Systems
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• v.15 no.4
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• pp.765-784
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• 2019

The smart city is one of the most promising, prominent, and challenging applications of the Internet of Things (IoT). Smart cities rely on everything connected to each other. This in turn depends heavily on technology. Technology literacy is essential to transform a city into a smart, connected, sustainable, and resilient city where information is not only available but can also be found. The smart city vision combines emerging technologies such as edge computing, blockchain, artificial intelligence, etc. to create a sustainable ecosystem by dramatically reducing latency, bandwidth usage, and power consumption of smart devices running various applications. In this research, we present a comprehensive survey of emerging technologies for a sustainable smart city network. We discuss the requirements and challenges for a sustainable network and the role of heterogeneous integrated technologies in providing smart city solutions. We also discuss different network architectures from a security perspective to create an ecosystem. Finally, we discuss the open issues and challenges of the smart city network and provide suitable recommendations to resolve them.

• The Transactions of the Korean Institute of Electrical Engineers P
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• v.64 no.4
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• pp.327-332
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• 2015

NCS are the contents such as knowledge, technology, and culture demanded for performing the duties in the industrial field systemized by a nation classified with industrial divisions and levels. It is an ability standardized in the national level necessary for performing duties of industrial field successfully. Now, the society structure, due to abrupt change and development, has to secure core ability demanded to human resources in common, irrespective of kinds and positions, and lays an emphasis on vocational basis ability to softly cope with the accelerating change of labor market. This dissertation, on the basis of NCS-based vocational education curriculum, focuses on information ability, computer use ability(information management ability), one of vocational core competency used for the duties related at the department of video & broadcasting to develop learning module. In addition, this dissertation researches learning results such as satisfaction and accomplishment over learning on the object of the students who took the education.

• Journal of the Korea Society of Computer and Information
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• v.24 no.9
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• pp.171-178
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• 2019

Computational Thinking is one of the biggest issues in the era of the Fourth Industrial Revolution. It is a core literacy required not only for SW major but also for all students including them. It is not a simple computer software education, but a coding education based on Computational Thinking, and it should be able to solve the problems in everyday life and to express the process and solutions. However, in the case of students who lack background knowledge on SW and programming languages for development, it is hard to know how to algorithmize problems and express them using computer devices. In this study, we proposed a education course model to improve the students' thinking skills and to express them effectively. In addition, we confirmed whether the non-major students who learned through this education course model can express various problems related to the major field by integrating them with computing accidents and improve the problem solving ability.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.04a
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• pp.1563-1566
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• 2011

현재의 인터넷은 엄청난 속도와 흡수성을 가진 채로 우리들의 생활에 스며들어 왔다. 인터넷은 효율성과 생산성, 오락성의 편익을 제공하는 반면, 익명성과 비대면성이라는 매체의 특성으로 인해 이를 악용한 인터넷 윤리의식이 심각한 사회문제가 제기되고 있다. 이에 인터넷으로 인한 부작용을 예방하고 보다 인간중심의 인터넷 문화를 만들기 위한 인터넷 윤리교육의 중요성이 부각되고 있다. 본 논문에서는 이러한 인터넷 윤리의식을 고취시키기 위한방법으로 미디어 리터러시를 제안한다. 기존에는 인터넷의 역기능들을 방지하기 위한 방법으로 차단을 시키거나 사용하지 못하게 하는 부정적 방법을 이용하였으나, 미디어 리터러시를 적용함으로써 인터넷을 올바로 이해하고 느끼게 하여 긍정적인 사고를 가지게 하여 근원적인 예방을 함으로써 인터넷 윤리의식을 고취시키고자 하였다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.07a
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• pp.719-722
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• 2021

최근 인공지능의 새로운 기술들이 하루가 다르게 발전하고 있다. 이에 본 연구에서는 인공지능 교육과 글쓰기 교육을 연계하여 초등학생들의 어휘력 향상을 위한 수업을 설계하고자 한다. 그 방법으로는 본 수업에 앞서 어휘 10문제를 테스트하여 실험에 참가하기 전의 어휘력을 점검한다. 그 후 머신러닝 포키즈를 이용하여 여러 감정에 해당되는 단어들을 다양하게 훈련하도록 하였고, 그 후 관련된 어휘 10문제를 다시 테스트 하였다. 실험 결과 실험에 참가하기 전에는 100점 만점에 58.8점으로 나왔으나 훈련 후의 결과는 평균 68점으로 모든 학생의 성적이 좋아지는 결과를 얻을 수 있었다. 어휘력 문항수가 적은 점과 10명의 실험참가자로 일반화할 수 없는 한계가 있다. 향후 초등교재 한권을 선정하여 어휘를 모두 분석한 후 가장 많이 등장하는 어휘를 골라내어 테스트하여 좀 더 통계적으로 의미 있는 분석을 하고자 한다.