• Journal of Engineering Education Research
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• v.19 no.2
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• pp.14-25
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• 2016

This study deals with how liberal education in engineering could be positioned properly in an era of convergence. Disciplines of Engineering has long been focusing on engineer as a 'technical profession' and the liberal education as an accessory to major study has been left behind. Under this understanding, the topic of 'convergence' in the 21th century engineering is hardly to find its way to the establishment into engineering education. This study suggests a direction for the reform of liberal education in engineering, which is expected to overcome the distinction between professional and non-professional aligned with major education and liberal one. For the reform, introducing and developing contents and methodologies considering convergence would open the door of engineering education to interdisciplinary study and to 'open-profession'. Next, the problem solving model in education will be very effective for learners to define the problem, to utilize various knowledges and to lead to meaningful solution. Lastly, we emphasize the changing context of liberal education and it is necessary to integrate 'technology literacy' into liberal education in relation to major study.

• Communications of Mathematical Education
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• v.37 no.4
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• pp.717-736
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• 2023

The purpose of this study is to develop a statistical program using data and artificial intelligence prediction models and apply it to one class in the sixth grade of elementary school to see if it is effective in improving students' statistical literacy. Based on the analysis of problems in today's elementary school statistical education, a total of 15 sessions of the program was developed to encourage elementary students to experience the entire process of statistical problem solving and to make correct predictions by incorporating data, the core in the era of the Fourth Industrial Revolution into AI education. The biggest features of this program are the recognition of the importance of data, which are the key elements of artificial intelligence education, and the collection and analysis activities that take into account context using real-life data provided by public data platforms. In addition, since it consists of activities to predict the future based on data by using engineering tools such as entry and easy statistics, and creating an artificial intelligence prediction model, it is composed of a program focused on the ability to develop communication skills, information processing capabilities, and critical thinking skills. As a result of applying this program, not only did the program positively affect the statistical literacy of elementary school students, but we also observed students' interest, critical inquiry, and mathematical communication in the entire process of statistical problem solving.

• Journal of Engineering Education Research
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• v.19 no.1
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• pp.21-30
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• 2016

Communication is for making a passage to communicate with various modern narratives or various people. Therefore, it needs to be reorganized by these changes and demands. Especially in case of country students learning natural science and engineering are appreciating the necessity of speaking education. So a program which contains both speaking and writing should be organized. In this writing writer used flipped learning and strategic text to fulfill evaluation items that engineering authentication requires. Also writer suggested how to lecture and planned to make a integration textbook which can foster literacy and liberal arts knowledge.

• Journal of Digital Convergence
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• v.13 no.10
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• pp.33-40
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• 2015

Today the computerization in overall civil life is globally progressing, and software plays a central role in all interdisciplinary areas of society. These changes of information environments lead to the change of values and paradigm shift, and the change of Korean educational policies is also happening. As human-machine interaction is becoming ubiquitous, code literacy is going to play an important role before long. Despite these transitions, information education in universities in Korea focuses on just driving application programs. In this paper, we explore overall educational system and curriculum of universities in Korea. And we present educational factors corresponding to educational levels and contents. Presented five factors coupling three educational contents and three educational levels may be dedicated to design curriculum.

• Journal of information and communication convergence engineering
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• v.17 no.3
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• pp.213-220
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• 2019

This paper shows that novel engineering (NE) is a creative learning process (CLP) based on Seymour Papert's constructionism. First, the paper introduces NE, CLP, and constructionism. Next, a sample NE lesson is explored. NE is an innovative way of integrating literacy into an engineering discipline that was developed by the Center for Engineering Education and Outreach (CEEO) at Tufts University. NE consists of seven steps: picking a book, identifying problems, designing solutions, building, feedback, upgrading solutions, and reconstructing stories. Lifelong Kindergarten by Mitchel Resnick of the MIT Media Lab describes CLP, and the four elements necessary for a lesson to be creative. NE can be viewed as one of the most creative, comprehensive learning models ever developed. NE integrates several paradigms in Korea, following all the constructs of both CLP and constructionism. The aim of this paper is to show that NE is based on both CLP and constructionism.

• 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 Internet of Things and Convergence
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• v.7 no.3
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• pp.47-54
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• 2021

This study was aimed to understand the recognition of care robots which would enhance the medical quality of life under the 4^th industrial revolution in the university students majoring in health and engineering who would lead the development of the future medical industry and to find out the differences of their digital literacy and empathic ability. This was a descriptive correlation study to analyze the recognition of university students on care robots, their digital literacy and empathic ability. Both students majoring in health and engineering recognized the needs of care robots, while their education experiences were not sufficient. Moreover, statistically fewer university students majoring in health heard about care robots than those in engineering, and their need of taking classes was lower, too. No statistically significant differences were found in digital literacy and empathic ability between the two majors, while significant difference was found in the relationship bundling capability out of behavioral empathy, a sub-domain of empathic ability. The study results are anticipated to suggest the future educational direction in the medical field according to the 4^th industrial revolution and to be the fundamental data for understanding and preparation of the students depending on the majors.

• 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.

• 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 the Korean earth science society
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• v.42 no.3
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• pp.344-364
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• 2021

The study explored how two elementary school teachers perceived computational thinking, reflected them into curriculum revision, and taught them in the classroom during longitudinal professional developed program (PDP) for nine months. Computational thinking is a new direction in educational policy-making including science education; therefore we planned to investigate participating teachers' perception of computational thinking to provide their fundamental understandings. Nine meetings, lasting about two hours each, were held with the participating teachers and they developed 11 lesson plans for one unit each, as they formed new understandings about computational thinking. Data were collected through PDP program while two teachers started perceiving computational thinking, revising their curriculum, and implementing it into their class for nine months. The results were as follows; first, elementary school teachers' perception of computational thinking was that the definition of scientific literacy as the purpose of science education was extended, i.e., it refers to scientific literacy to prepare students to be creative problem solvers. Second, STEAM (science, technology, engineering, arts, and mathematics) lessons were divided into two stages; concept formation stage where scientific thinking is emphasized, and concept application, where computational thinking is emphasized. Thirdly, computational thinking is a cognitive thinking process, and ICT (informational and communications technology) is a functional tool. Fourth, computational thinking components appear repeatedly and may not be sequential. Finally, STEAM education can be improved by utilizing computational thinking. Based on this study, we imply that STEAM education can be activated by computational thinking when teachers are equipped with competencies of understanding and implementing computational thinking within the systematic PDPs, which is very essential for newly policies.