• Journal of Science Education
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• v.44 no.1
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• pp.74-83
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• 2020

The purpose of this study is to investigate motivation to learn physics in order to understand engineering college students' physics learning. Therefore, in this study, 374 engineering students at the university located in Seoul were studied using the Physics Motivation Questionnaire (PMQ), which was a Science Motivation Questionnaire II modified into the context of learning physics. The PMQ is composed of five factors: intrinsic motivation, career motivation, self-determination, self-efficacy, and grade motivation. It involves 25 Likert scale items. Through exploratory factor analysis, PMQ confirms that the five factors are structurally valid in measuring the motivation of engineering students to learn physics. In addition, item fit (MNSQ) was also confirmed using a Rasch model analysis. The results show that grade motivation has the highest mean with 4.2, followed by job motivation mean with 3.76. The mean of intrinsic motivation was 3.42, the self-efficacy was 3.38, and self-determination was 3.32. The results of this study confirm that the physics learning motivation of engineering college students is characterized showing high external motivation related to job and grade. Therefore, we should try to develop the teaching strategy to increase intrinsic motivation by developing mastery goal orientation of physics learning for engineering students.

• Proceedings of the KAIS Fall Conference
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• 2011.05b
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• pp.590-593
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• 2011

본 연구는 물리치료학과 학생들을 대상으로 근거중심의 학습을 통해 학습 이해도와 성취도, 실무능력을 증진시키고자 하는 연구를 실시하였다. 과학적이고 근거중심의 단계별 수업을 이수한 1학년 대상자인 17명이 연구에 참여하였고, 남자와 여자로 구분하여 강의전, 후로 나누었다. 성별에 따른 성취도 분석과 강의 전, 후에 따른 근거중심 학습의 효용성에 관한 특성을 비교하였다. 통계처리 방법으로 실험 전 후 차이를 검증하였고, 모든 통계적 유의수준은 0.05로 하였다. 본 연구의 결과 근거중심 학습의 필요성, 학습 시너지 효과, 전문학술지 접근도에서 강의 전에 비해 후에 유의한 감소를 보였다. 향후 저학년인 1, 2학년 물리치료학과 학생들에게 흥미를 유발하고 동기를 부여하여 저널 탐색을 통한 임상 물리치료에 대한 접근도를 강화시킬 필요가 있고 이를 통해 이론중심의 수업보다 실무중심의 명확한 근거 위주의 수업을 지향해야 할 필요성이 있다고 생각한다.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.70-70
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• 2023

강우 발생 중 용담댐 상류로부터 용담댐으로 유입되는 유입량을 정확하게 예측하는 것은 하류 지역의 홍수 피해를 최소화하기 위한 댐의 적절한 운영에 필수적이다. 물리 기반 강우-유출 시뮬레이션 모형은 물리적 과정의 이해를 바탕으로 홍수 예측 분야에 광범위하게 사용되고 있다. 그러나 복잡한 물리 과정을 완벽히 이해하는 것은 거의 불가능하므로 다양한 가정 조건들을 이용해 복잡한 과정을 단순화하여 계산해야 하는 한계가 존재한다. 최근에는 방대한 데이터의 축적과 컴퓨터 능력의 향상으로 인해 데이터 기반 모형이 다양한 실무 문제를 해결하는 데 강력한 도구로 활용되고 있을 뿐 아니라 시뮬레이션 및 예측 등에도 다양하게 이용되고 있다. 그러나 예측 시간이 늘어날수록 입력자료로 이용되는 과거 자료와 출력자료로 이용되는 미래자료와의 상관관계가 줄어들어 모형의 성능이 저하된다. 따라서 본 연구에서는 용담댐의 시간당 유입량을 예측하기 위해 물리 기반 강우-유출 모형과 오차 보정 모형을 결합한 하이브리드 접근 방식을 제안한다. 물리 기반 강우-유출 모형으로는 HEC-HMS 모형을 사용하였으며, 오차 보정 모형에는 기계학습 모형인 인공신경망(Artificial Neural Network, ANN) 모형을 사용하였다. HEC-HMS 모형, ANN 및 하이브리드 모형(HEC-HMS + ANN)의 성능을 비교하기 위해 20 개의 홍수 사상을 모형 구축 및 검증에 사용하였다. 그 결과 하이브리드 모형은 예측 시간이 늘어날수록 HEC-HMS 및 ANN 모형보다 우수한 성능을 나타냈다. 물리모형에 기계학습을 이용한 오차 보정 절차를 통합한 경우 홍수 유출 예측의 정확성이 향상되었다. 다양한 모형의 비교 결과 본 연구에서 적용한 하이브리드 모형이 물리기반 강우-유출 모형 및 순수 기계학습 모형보다 우수한 성능을 보여줌으로써, 하이브리드 모형은 물리모형과 순수 기계학습 모형의 단점들을 보완하는데 이용할 수 있음을 나타낸다. 이 연구의 주요 목적은 강우-유출 시물레이션 모형의 오차 보정 기술에 대한 더 깊은 이해를 제공하는데 있다.

• Proceedings of the Korean Biophysical Society Conference
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• 2002.06b
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• pp.13-13
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• 2002

기계학습(maching learning)은 경험을 통한 테이터 관측으로부터 스스로 성능을 향상할 수 있는 컴퓨터를 연구하는 인공지능(artificial intelligence)의 한 연구분야이다. 최근 들어 기계학습은 Bioinformatics 분야에서 생명과학 데이터마이닝을 위한 하나의 핵심기술로 부상하고 있다.(중략)

• The Journal of Korean society of community based occupational therapy
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• v.2 no.1
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• pp.65-73
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• 2012

Objective : The purpose of this study is to provide basic information for professional education by investigating to learning styles and achievement goal of the first year students in the department of occupational therapy and physical therapy. Methods : 123 first year students of the department of occupational therapy and physical therapy filled out a questionnaire in Gyeongbuk and Kangwon Province. In this study, Kolb's Learning Styles and Elliot & Church's Achievement Goal were used, and to analyze, Pearson correlation, chi-square were used. Results : The results of the study were as follows. 'Accommodator' was the preferred learning type for students, while 'diverger' was not. Collage students differed from university students in learning styles. A mastery level was the preference in the academic goal types of the students. Male students received higher grades on performance approach goals than female and student of department of physical therapy received higher grades on performance avoidance goals than students in the department of occupational therapy. There is a coefficient of correlation between performance avoidance goal and converger learning type. Therefore, first year students in the department of occupational therapy were not differed from the department of physical therapy in academic achievement but collage students differed from university students in learning styles. Conclusion : From these results, we suggested some effective teaching/learning methods based on the mastery achievement goal. An educational approach is necessary for understanding of the students' individual learning styles and achievement goal characteristics are account for students' individual negative/positive characteristics.

• Journal of the Korea Computer Graphics Society
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• v.29 no.3
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• pp.149-158
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• 2023

HMD, which is applied with the latest technology, minimizes motion sickness with high-resolution displays and fast motion recognition, and can accurately track location and motion. This can provide an environment where you can immerse yourself in a virtual three-dimensional space, and virtual reality contents such as disaster simulators and high-risk equipment learning spaces are developing using these characteristics. These advantages are also applicable in the field of basic science education. In particular, expanding the concepts of electric and magnetic fields in physics described by existing two-dimensional data into three-dimensional spaces and visualizing them in real time can greatly help improve learning understanding. In this paper, realistic physical education environments and contents based on three-dimensional virtual reality are developed and the developed learning contents are experienced by actual learning subjects to prove their effectiveness. A total of 46 middle school and college students were taught and experienced in real time the electric and magnetic fields expressed in three dimensions in a virtual reality environment. As a result of the survey, more than 85% of positive responses were obtained, and positive results were obtained that three-dimensional virtual space-based physical learning could be effectively applied.

• Proceedings of the Korean Society of Computer Information Conference
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• 2013.07a
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• pp.199-201
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• 2013

본 논문에서는 학생들의 과학 교과에서 학생들의 흥미와 학업성취를 향상시키기 위해 컴퓨터 시뮬레이션을 이용한 융합인재 교육 프로그램을 개발 하였다. 최근 디지털 기술의 고도화로 인해 다양한 정보통신 기술과 지식의 융합을 교육 환경에 적용하는 스마트러닝에 대한 관심이 증가하고, 학생들은 모바일 기기의 접근성에 대한 인식이 확대되고 학교 현장에서는 모바일 기기와 교육용 프로그램을 활용한 학습이 활성화 되고 있다. Algodoo는 2D기반 시뮬레이션 프로그램으로 다양한 물리적인 효과를 태블릿과 컴퓨터로 시뮬레이션 할 수 있으며, 웹에서 다양한 물리적인 효과나 원리에 대한 학습내용을 참고 할 수 있다. 교수 학습자료는 2009 개정교육과정 초등 과학에 나온 내용을 분석 후 실생활과 관련된 주제를 선정하여 학생들의 흥미와 이해를 향상시키도록 하였다. 또한 학생들은 개별학습과 협력학습을 통해 학습할 수 있으며, 학습 후에는 학생들이 시뮬레이션을 설계 및 실행하여 평가 및 반성을 할 수 있게 하였다.

• Journal of Korean Home Economics Education Association
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• v.28 no.3
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• pp.65-77
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• 2016

The purpose of this study is to develop an inquiry sheet for the contents of the clothing curriculum of home economics in middle schools using a physical fiber Identification method to increase students' interests in and understanding of clothing materials. Therefore, a physical fiber Identification method suitable to middle school students was developed in actual classrooms and the effects were analyzed. As a result, the physical fiber identification method was developed to distinguish between wool and acrylic knits; moreover, the identification method between silk and polyester fiber was studied. And then the inquiry sheet using fiber identification method was also developed. When interests in learning, attitudes of acceptance toward learning, and learning achievements of the experimental group (used the inquiry sheet) and the control group (did not use the inquiry sheet) were compared, the experimental group scored higher in every category, all of which were meaningful differences. Thus, this study demonstrated that the developed fiber differentiation method and inquiry sheet improved self-directed learning as well as learners' understanding of clothing materials by enabling the application the knowledge to the learners' realities.

• Geophysics and Geophysical Exploration
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• v.25 no.2
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• pp.71-84
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• 2022

When acquiring seismic data, various types of simultaneously recorded seismic noise hinder accurate interpretation. Therefore, it is essential to attenuate this noise during the processing of seismic data and research on seismic noise attenuation. For this purpose, machine learning is extensively used. This study attempts to attenuate noise in prestack seismic data using unsupervised machine learning. Three unsupervised machine learning models, N2NUNET, PATCHUNET, and DDUL, are trained and applied to synthetic and field prestack seismic data to attenuate the noise and leave clean seismic data. The results are qualitatively and quantitatively analyzed and demonstrated that all three unsupervised learning models succeeded in removing seismic noise from both synthetic and field data. Of the three, the N2NUNET model performed the worst, and the PATCHUNET and DDUL models produced almost identical results, although the DDUL model performed slightly better.

• Journal of The Korean Association For Science Education
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• v.28 no.4
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• pp.302-315
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• 2008

Circular motion has been one of the most difficult concepts for students to understand. To facilitate for students to form scientific mental models about circular motion, this study developed 4M learning cycle teaching model based on the integrated mental model theory and strategies. For this study, fifty-three eleventh graders at a technical high school in Inchon were taught for 3 class hours. We conducted tests of basic physics concept and mental model of circular motion before, after, and two months after instruction. In results, we found that there were statistically significant improvement in the test of basic physics concept and mental model related with circular motion after instruction. Especially, this teaching model affected learning effectiveness of Correctness and Coherence of mental model.