• 제목/요약/키워드: Design Education

검색결과 9,042건 처리시간 0.035초

A Preliminary Study of the Application of Prototyping Tools for Design Education Plans; Focusing on Open Source Microcontroller Boards

  • Nam, Wonsuk
    • International Journal of Advanced Culture Technology
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    • 제6권2호
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    • pp.107-116
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    • 2018
  • In the past, design has been recognized as a means to determine colors, shapes, and functions Recently, however, it has been accepted in a wider sense, namely designing the entire service, including product and user experience design. In this way, in addition to creativity and expressive power that designers have as their main competence, according to the expansion of this design object, designers are required to have comprehensive abilities in related fields and accompanying technical professional abilities. If designing as a technology application as a direction toward this situation, design education can be carried out by approaching technology as a method of expression or design subject. It can also be an effective alternative towards improving the understanding of technology. Meanwhile, many small microcontroller board products with advanced functions and multi-functional specialized programming integrated development environments (IDEs) are becoming widespread due to their open source, low cost, and scalable features. However, students in the design department who lack the basic knowledge of science and engineering have difficulties learning, which requires considerable time and is required for practical use. From this point of view, we have made advancements in the technical understanding of design education by conducting fundamental research to the effectiveness of microcontroller-based prototyping tools as means of expression. We also conducted basic education of microcontroller boards for a certain period of time on students who majored in design in conjunction with the basic survey and investigated the obstacle factors using a questionnaire. Through these surveys, we have confirmed the necessity of designing microcontroller boards of low difficulty, which simplify the coding process that can act as a barrier in difficulty for design students to apply smoothly in design education. In addition, we intend to carry out a basic study on the guideline of microcontroller design for design education and composition of education programs.

A Design-Based Research on Application of Artificial Intelligence(AI) Teaching-Learning Model in Elementary School

  • Kim, Wooyeol
    • International journal of advanced smart convergence
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    • 제10권2호
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    • pp.201-208
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    • 2021
  • Recently, artificial intelligence(AI) has been used throughout society, and social interest in it is increasing. Accordingly, the necessity of AI education is becoming a big topic in the education field. As a response to this trend, the Korean education authorities have also announced plans for AI education, and various studies have been performed in academic field to revitalize AI education in the future. However, the curriculum research on what differentiates AI education from existing SW education and what and how to train AI is still in its infancy. In this paper, Therefore, we focused on the experiences of elementary school students in solving problems in their own lives, and developed a teaching-learning model based on design-based research so that students can design a problem-solving process and experience the process of feedback. We applied the developed teaching-learning model to the problem-solving process and confirmed that it increased students' understanding and satisfaction with AI education.

Design of Artificial Intelligence Education Program based on Design-based Research

  • Yu, Won Jin;Jang, Jun Hyeok;Ahn, Joong Min;Park, Dae Ryoon;Yoo, In Hwan;Bae, Young Kwon;Kim, Woo Yeol
    • International journal of advanced smart convergence
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    • 제8권4호
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    • pp.113-120
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    • 2019
  • Recently, the artificial intelligence(AI) is used in various environments in life, and research on this is being actively conducted in education. In this paper, we designed a Design-Based Research(DBR)-based AI programming education program and analyzed the application of the program for the improvement of understanding of AI in elementary school. In the artificial intelligence education program in elementary school, we should considerthat itshould be used in conjunction with software education through programming activities, rather than creating interest through simple AI experiences. The designed education program reflects the collaborative problem-solving procedures following the DBR process of analysis - design - execution - redesign, allowing the real-world problem-solving activities using AI experiences and block-type programming language. This paper also examined the examples of education programs to improve understanding of AI by using Machine Learning for Kids and to draw implications for developing and operating such a program.

자기 보고식 공학설계 역량 검사 도구 규준화 연구 (A Research on the Norming of The Self-Reported Test for Engineering Design Competency)

  • 조한진;위선복;김태훈
    • 공학교육연구
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    • 제23권3호
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    • pp.66-75
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    • 2020
  • The purpose of this study is to norm the engineering design competency test. To achieve the purpose of the study, a survey was conducted on engineering college students nationwide using engineering design competency test developed in the precedent study, and a total of 2,859 questionnaires were analyzed. The main results are as follows. First, the national average of engineering design competency scores was 158 out of 240 points. Second, there was no significant difference between genders in engineering design competency by background variables. On the other hand, there was a significant difference by major. It was found that mechanical and construction majors have higher engineering design competency than IT and chemical/material engineering majors. Also, the scores of engineering design competency increased as the grade went up. Third, the number of courses related to engineering design did not affect by engineering design competency, but the actual number of times of experience in engineering design was affected by engineering design competency.

디자인특성화 교육전략 연구 (Research for Design Specialization Education strategy)

  • 박영진
    • 디지털융복합연구
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    • 제17권12호
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    • pp.481-488
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    • 2019
  • 디자인 교육의 변화가 요구되는 것은 산업의 가치 변화와 시장의 요구가 혼재되어 나타나는 현상이다. 오늘날 디자인 산업에 영향을 미치는 외부적 요건의 변화와 내부적 가치 변화는 소비자 중심의 디자인에서 이해관계자 중심의 디자인으로 가치가 전이되고 있다. 이러한 변화의 중심에서 본 연구는 디자인 교육의 분야별 특성에 부합하는 교육적 매커니즘의 내용적 제안이 목적이다. 디자인 특성화는 '디자인+비즈니스'의 개념으로 디자인의 고유 기능인 스타일 개발과 마케팅, 경영 전략, 창업 등을 결합하여 창의적 사고와 전략적 사고를 융합하여 활용함으로써 디자인 시너지의 극대화를 추구하는 새로운 영역을 뜻한다. 따라서 디자인 특성화는 우선 경제적 가치에서 교육의 정책을 실현해야 하며 이전의 도제적 교육관에서 벗어나 합리성과 효율성을 제고하는 디자인 프로세스로 전환되어야 한다.

A Study on Artificial Intelligence Education Design for Business Major Students

  • PARK, So-Hyun;SUH, Eung-Kyo
    • 산경연구논집
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    • 제12권8호
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    • pp.21-32
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    • 2021
  • Purpose: With the advent of the era of the 4th industrial revolution, called a new technological revolution, the necessity of fostering future talents equipped with AI utilization capabilities is emerging. However, there is a lack of research on AI education design and competency-based education curriculum as education for business major. The purpose of this study is to design AI education to cultivate competency-oriented AI literacy for business major in universities. Research design, data and methodology: For the design of AI basic education in business major, three expert Delphi surveys were conducted, and a demand analysis and specialization strategy were established, and the reliability of the derived design contents was verified by reflecting the results. Results: As a result, the main competencies for cultivating AI literacy were data literacy, AI understanding and utilization, and the main detailed areas derived from this were data structure understanding and processing, visualization, web scraping, web crawling, public data utilization, and concept of machine learning and application. Conclusions: The educational design content derived through this study is expected to help establish the direction of competency-centered AI education in the future and increase the necessity and value of AI education by utilizing it based on the major field.