• 제목/요약/키워드: Education of Science and Engineering

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개선된 학부 의공학 소프트웨어 교육과정을 위한 새로운 과목의 제안 (Enhanced Undergraduate Software Education Curriculum for Biomedical Engineering: a Proposal for a New Class)

  • 박현진
    • 대한의용생체공학회:의공학회지
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    • 제32권4호
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    • pp.279-284
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    • 2011
  • Biomedical engineering is a discipline where engineering principles and techniques are applied to the medical field. Biomedical engineering lies between traditional engineering and medicine and is an inter-disciplinary field in its nature. Current Korean undergraduate biomedical engineering curriculum is a simple list of traditional engineering courses combined with basic medical/life science courses. There have been efforts to improve biomedical engineering education to reflect its inter-disciplinary nature. Enhanced software course for biomedical engineering is proposed as a part of effort to overhaul the undergraduate biomedical engineering curriculum. In this newly proposed course, students will learn MATLAB and LabVIEW, which are the most widely used software tools in biomedical engineering.

초등 및 중학교 수준의 공학교육 내용표준 제안 (Content Standards for K-9 Engineering Education)

  • 박현주;백윤수
    • 공학교육연구
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    • 제17권4호
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    • pp.87-94
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    • 2014
  • 이 연구는 공학교육 관련 문헌, 교육과정, 교육표준 등의 분석을 통하여 우리나라의 초등 및 중학교 수준의 공학교육을 정의하고, 공학교육 내용의 유형을 분석하고, 공학교육 내용표준을 개발하여 제안하였다. 공학 및 공학교육의 개념을 과학, 기술학, 공학의 어원적, 학문적, 방법적 차이에 따른 분석 및 조사에 근거하여 규정하였다. 공학교육 내용의 유형은 절차적 과정, 분야별 개념 및 지식, 과정과 지식을 융합 유형의 세 가지로 조사되었다. 공학교육 내용표준은 '공학 및 기술과 사회' '제품과 제조' '공학을 통한 문제해결' '공학기술시스템'의 네 개 대범주와 그에 따른 하위 요소로 개발하였다. 공학교육의 개념적 정의, 교육내용의 유형 및 내용표준은 초등 및 중학교 수준에서 공학교육을 제공하고, 비정규 교과로서 정규 교과와 연결하여 교육내용을 재구성하는 준거로 활용할 수 있을 것이다. 그리고 예비교사 교육 및 현직 교사의 공학교육 연수를 위한 기초 자료로 활용할 수 있을 것이다.

과학기술원 신입생 핵심역량 지표 개발 연구 (The Development of Core Competence Indicators of Freshmen in an Institute of Science & Technology)

  • 신태섭;김가현;강태훈;박주형;정제영;오은혜;권민재
    • 공학교육연구
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    • 제24권5호
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    • pp.15-27
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    • 2021
  • The purpose of this study was to develop an indicator of core competency of freshmen of an Institute of Science & Technology (IST). Through the document analysis and the expert survey, core competency indicators that include 5 core competencies and 15 sub-competencies (a total of 48 items) were developed. Then content validity was examined by experts in measurement and statistics and secondary education. Also, by using students' responses, reliability was tested with Cronbach's alpha and construct validity were tested through confirmatory factor analysis. Results suggest that the core competency indicator is reliable and valid in measuring core competencies of freshmen students in an Institute of Science & Technology. Discussions were provided in terms of improving student admission processes.

이공계열 대학원생 핵심역량 진단도구 개발 및 타당화 연구: A연구중심대학 사례 (Development and Validation of Core Competency Scale For Graduate Students in the Field of Science and Engineering)

  • 배상훈;조은원;한송이;정유지;김경언
    • 공학교육연구
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    • 제27권2호
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    • pp.35-50
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    • 2024
  • The purpose of this study is to identify the core competencies of graduate students at A research university in the context of graduate education in science and engineering, and to develop and validate a diagnostic tool to measure them. To achieve the research objectives, first, 6 factors and 18 sub-competencies of core competencies were derived based on a review of domestic and foreign studies, cases of excellent research-centered overseas universities, and interviews with members of A University. Second, a theoretical model was constructed by deriving behavioral indicators based on the core competencies and sub-competencies, and a preliminary survey was conducted on 188 graduate students of University A to verify the statistical validity of the theoretical model. Results of exploratory and confirmatory factor analysis, the core competencies of graduate students at A research university consisted of 6 factors, 16 sub-competencies, and 77 items. Specifically, it included "Independent research capability(13 items)", "Social Entrepreneurship(10 items)", "Academic agility(15 items)", "Ingenious Challenges(15 items)", "Collegial Collaboration(9 items)", and "Mueunjae leadership(15 items)". This study contributes to the development of theories related to core competencies of graduate students in science and engineering, and has practical significance as a basis for a data-driven competency-based graduate education system.

기후변화 영화를 활용한 융합교육 모형연구: 다큐멘터리 <불편한 진실>을 중심으로 (A Study on Interdisciplinary Education Model of Using Climate Change Film-Focusing on Documentary An Inconvenient Truth)

  • 황영미;오정진
    • 공학교육연구
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    • 제19권5호
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    • pp.57-64
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    • 2016
  • This study is about interdisciplinary education model of using Davis Guggenheim's documentary film on global warming which is a big concern in climate change issues, An Inconvenient Truth. It based on Al Gore's slide speech. Through a course student analyzed the cause and phenomenon of global warming resulted from increase of $CO_2$ by using fossil fuel and its environmental science effects-heat wave, desertification, tornado, hurricane, sea level rise caused by melting glaciers, destroying ecosystem like habitat degradation of wild animals, for example polar bear, extreme cold wave caused by change of ocean currents- of global warming. After, student discussed of efforts to prevent global warming. This educational model is appropriate for lower grade student of environmental engineering and also available for converged majors or general education class.

Synthesis and Properties of Arylacetylene Resins with Siloxane Units

  • Gao, Fei;Zhang, Lingling;Tang, Lemin;Zhang, Jian;Zhou, Yan;Huang, Farong;Du, Lei
    • Bulletin of the Korean Chemical Society
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    • 제31권4호
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    • pp.976-980
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    • 2010
  • A series of arylacetylene resins with siloxane units were synthesized by the condensation reactions of m-diethynylbenzene magnesium reagents with various $\alpha,\omega$-bis(chloro)dimethylsiloxanes. These resins are liquids and are miscible with common organic solvents at room temperature. The structures of the resins were characterized by FT-IR, $^1H$ NMR, $^{13}C$ NMR, $^{29}Si$ NMR, and gel permeation chromatography (GPC). The thermal behaviors of the resins were examined with differential scanning calorimetry (DSC). These resins have good processability. They can be thermally cross-linked through the ethynyl groups to produce cured resins. The thermal and thermooxidative stabilities of the cured resins were studied by thermogravimetric analysis (TGA). The cured resins possess high thermal and thermooxidative stability. Their decomposition occurs at above $500^{\circ}C$ in both $N_2$ and air. With increasing the length of siloxane units in the resins, the thermal stability of the cured resins decreases in $N_2$. When the cured resins were sintered above $1450^{\circ}C$ under argon, hard and glassy SiOC ceramics were obtained. These SiOC ceramics have the decomposition temperatures at 5% weight loss above $800^{\circ}C$ in air.

Development of an Engineering Education Framework for Aerodynamic Shape Optimization

  • Kwon, Hyung-Il;Kim, Saji;Lee, Hakjin;Ryu, Minseok;Kim, Taehee;Choi, Seongim
    • International Journal of Aeronautical and Space Sciences
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    • 제14권4호
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    • pp.297-309
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    • 2013
  • Design optimization is a mathematical process to find an optimal solution through the use of formal optimization algorithms. Design plays a vital role in the engineering field; therefore, using design tools in education and research is becoming more and more important. Recently, numerical design optimization in fluid mechanics, which uses computational fluid dynamics (CFD), has numerous applications in the engineering field, because of the rapid development of high-performance computing resources. However, it is difficult to find design optimization software and contents for educational purposes in aerospace engineering. In the present study, we have developed an aerodynamic design framework specifically for an airfoil, based on the EDucation-research Integration through Simulation On the Net (EDISON) portal. The airfoil design framework is composed of three subparts: a geometry kernel, CFD flow analysis, and an optimization algorithm. Through a seamless interface among the subparts, an iterative design process is conducted. In addition, the CFD flow analysis and the design framework are provided through a web-based portal system, while the computation is taken care of by a supercomputing facility. In addition to the software development, educational contents are developed for lectures associated with design optimization in aerospace and mechanical engineering education programs. The software and content developed in this study is expected to be used as a tool for e-learning material, for education and research in universities.

공학전공대학생의 입학전형과 중도탈락의 상관관계 분석 (A Relationship Analysis between Admission Type and Dropout of Engineering University Students)

  • 박승철
    • 공학교육연구
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    • 제15권5호
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    • pp.98-107
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    • 2012
  • As the dropout rate of university students is gradually increasing, the studies on exploring the status, characteristics, reasons, and countermeasures of dropout of university students are currently grabbing high attention. This paper analyzes the relationship between the admission types and dropout of university students, mainly focused on engineering students. The analysis shows that the dropout rate of engineering students admitted through the scheduled-time admission procedures is quite higher than that of students admitted through non-scheduled-time admission procedures, the dropout rate of engineering students admitted from the vocational high schools is higher than that of students from the academic high schools, and the dropout rate of engineering students admitted from the liberal art high school tracks is higher than that of students from the natural science high school tracks. From the results, we could find out that student-support programs need to be carefully provided for the engineering university students according to their admission types and underlying backgrounds.

Dynamics-Based Location Prediction and Neural Network Fine-Tuning for Task Offloading in Vehicular Networks

  • Yuanguang Wu;Lusheng Wang;Caihong Kai;Min Peng
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제17권12호
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    • pp.3416-3435
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    • 2023
  • Task offloading in vehicular networks is hot topic in the development of autonomous driving. In these scenarios, due to the role of vehicles and pedestrians, task characteristics are changing constantly. The classical deep learning algorithm always uses a pre-trained neural network to optimize task offloading, which leads to system performance degradation. Therefore, this paper proposes a neural network fine-tuning task offloading algorithm, combining with location prediction for pedestrians and vehicles by the Payne model of fluid dynamics and the car-following model, respectively. After the locations are predicted, characteristics of tasks can be obtained and the neural network will be fine-tuned. Finally, the proposed algorithm continuously predicts task characteristics and fine-tunes a neural network to maintain high system performance and meet low delay requirements. From the simulation results, compared with other algorithms, the proposed algorithm still guarantees a lower task offloading delay, especially when congestion occurs.