• International Journal of Contents
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• 제10권2호
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• pp.1-8
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• 2014

This paper discusses designing an interdisciplinary learning environment to promote learning of the liberal arts for advanced music students in order to expand the boundaries of their education experience beyond the technical mastery of their musical instruments. The paper discusses the utilization of salient features of information, communications, and technology and the use of instructional theory to promote the understanding of how individual pieces of music can be connected to knowledge of the context in which they were created to support the understanding of the relationship between experience in the world and musical composition.

• 수산해양교육연구
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• 제23권3호
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• pp.445-460
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• 2011

Recently, worldwide attention has been placed on being able to develop a person with interdisciplinary abilities. Specifically, there has been an emphasis on the integration of the previous STEM education and the arts, as well as the role of IT in technology and engineering education. Therefore, for this study, our goal is to help pave the way for the increased use of the teaching-learning methods of the IT-based STEAM education in developing people with interdisciplinary abilities. Firstly, we searched through domestic and foreign papers for example related to the recent trend towards the STEAM and integrative IT education models. In this study, we also presented a realistic teaching model based on STEAM education, applied mainly in the U.S., and on the teaching-learning methods of science and technology. The method we suggested is rated by expert assessments as a highly effective teaching-learning method for science and math. The use of educational IT technology in the STEAM education method is also analyzed with positive results.

• 예술인문사회 융합 멀티미디어 논문지
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• 제7권7호
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• pp.37-47
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• 2017

본 연구는 영화를 활용한 플립러닝 기반의 학제 간 융합 창의성 증진 프로그램이 대학생의 창의성과 융합인재소양에 어떠한 효과를 미치는지 확인하는 데 목적이 있다. 이를 위해 부산광역시에 소재한 D대학교의 '영화로 만나는 창의적 융합' 교양강좌에 수강한 대학생 44명과 비수강 대학생 45명 총 89명을 대상으로 총 15회기의 프로그램을 실시하였다. 수집된 자료는 SPSS 23.0프로그램을 사용하여 독립표본 t-검증으로 내용을 분석하였으며, 이에 대한 연구결과는 다음과 같다. 첫째, 영화를 활용한 플립러닝 기반의 학제 간 융합 창의성 증진 프로그램은 대학생의 창의성 하위영역에서 인내/집착, 유머감, 자기확신, 상상, 개방성, 독립성, 호기심의 순으로 유의미한 효과가 높게 나타났고, 창의성 전체에서도 유의미한 효과가 나타났다. 둘째, 영화를 활용한 플립러닝 기반의 학제 간 융합 창의성 증진 프로그램은 대학생의 융합인재소양의 하위영역에서 융합, 배려, 소통, 창의의 순으로 유의미한 효과가 높게 나타났고, 융합인재소양 전체에서도 유의미한 효과가 나타났다. 이상과 같은 연구결과를 통해 영화를 활용한 플립러닝 기반의 학제 간 융합 창의성 증진 프로그램의 교육적 효과를 확인할 수 있었고, 교육학을 기반으로 한 융합연구 분야에 의미 있는 방향설정과 시사점을 제공하였다.

• 대한의용생체공학회:의공학회지
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• 제43권2호
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• pp.102-108
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• 2022

Purpose: To propose a deep learning-based clinical decision support technique for laryngeal disease on epiglottis, tongue and vocal cords. Materials and Methods: A total of 873 laryngeal endoscopic images were acquired from the PACS database of Pusan N ational University Yangsan Hospital. and VGG16 model was applied with transfer learning and fine-tuning. Results: The values of precision, recall, accuracy and F1-score for test dataset were 0.94, 0.97, 0.95 and 0.95 for epiglottis images, 0.91, 1.00, 0.95 and 0.95 for tongue images, and 0.90, 0.64, 0.73 and 0.75 for vocal cord images, respectively. Conclusion: Experimental results demonstrated that the proposed model have a potential as a tool for decision-supporting of otolaryngologist during manual inspection of laryngeal endoscopic images.

• 공학교육연구
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• 제19권1호
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• pp.37-46
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• 2016

The purposes of the study were to examine engineering students' concerns and problems while they were choosing a project topic in interdisciplinary collaboration and to suggest ways to support them in an early stage of collaboration phase. To answer the research questions, we conducted a case study with engineering participants in GCTI 2015, an interdisciplinary collaborative and creative group project. Multiple data sources including focus group interviews, online survey and researchers' observation notes were used to triangulate research findings. We found four main concerns of engineering students. These concerns include (1) lack of self-efficacy, (2) limited resources, (3) lack of shared, meaningful, and common goals, and (4) lack of content knowledge. Based on these concerns we proposed four supports in an early stage of the collaborative project. These supports includes (1) implementing an orientation program, (2) providing opportunities for social interactions, (3) providing expert feedback, and (4) providing consultation for team building.

• 공학교육연구
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• 제9권4호
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• pp.10-18
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• 2006

오늘날 공학도에게는 타 전공자들과 한 팀을 이루어 공동의 프로젝트를 효과적으로 진행해 나갈 수 있는 능력이 절실히 요구되고 있다. 대학에서는 이러한 요구를 충족시키기 위한 방안으로 복합학제 설계교육의 중요성이 커지고 있다. 본 논문에서는 동국대학교에서 수행하였던 복합학제 설계교육의 사례를 통해 그 효과를 정량적으로 측정하고 분석하여 보았다. 단일전공자로 구성된 팀들과 복합전공자로 구성된 팀들간의 학업성취도를 비교분석한 결과 복합팀의 학업성취도가 높은 것으로 나타났다. 또한 설문조사를 통해 학생들은 팀의 의사소통이 프로젝트를 진행하는데 중요한 요소라고 생각하였으며 이러한 결과는 복합학제 설계교육이 더욱 확대될 필요가 있으며 이를 통해 학생들이 사회에 나가기 전 수업을 통해 꾸준히 연습되어야 함을 보여준다.

• 대한공업교육학회지
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• 제40권1호
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• pp.121-141
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• 2015

본 논문은 3년간(2012~2014) 학부에서 진행된 다학제 융합수업 개선을 위하여 융합 교육과정, PBL(Problem Based Learning)과 TBL(Team Based Learning)의 활용, 효과적인 발표 등에 대한 딜레마를 다루었으며, 내러티브 탐구 방법으로 시간, 장소, 교육과정에서 일어나는 교사와 학생의 상호작용을 기술한 연구이다. 본 연구 결과로부터 도출된 몇 가지 수업 개선점을 제안하면 아래와 같다. 첫째, 융합수업에서 교수들의 미니 강의비율이 대체로 높다. 강의시간을 1/4로 줄이고 수업시간에 중요한 토론과 과제를 마칠 수 있도록 시간을 배려하고, 즉각적인 도움을 제공한다면 학생들의 과제부담은 줄어들 것이다. 둘째, 기존의 교육과정 틀을 유지한 채 융합수업을 시행하기 위해서는, 각 학과 전공교육과정에 '융합교과목'이라는 과목을 설치하여 다른 학과 교수와 함께 수업을 개설할 기회를 제공하는 것이 좋다. 셋째, 본 수업에서 PBL과 TBL를 동시에 적용하는 효율적인 수업진행 방식은, TBL에서 요구하는 과제를 하나의 문제 상황으로 생각하고 PBL 학습방법을 활용하는 것이다. 마지막으로, 이상적인 발표수업은 매시간 발표할 기회를 학생에게 제공하는 것이 바람직하다. 팀 발표수업의 횟수는 한 학기 3번이 적당하지만, 발표시간이나 방법은 수정이 필요하다. 발표 전날 모든 팀으로부터 발표내용을 받고, 팀 발표시간은 15분에서 30분으로 늘리고 2일 동안 발표를 한다면 학생은 발표 준비와 진행에 여유를 갖게 될 것이다.

• Genomics & Informatics
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• 제19권1호
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• pp.11.1-11.8
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• 2021

For the novel coronavirus disease 2019 (COVID-19), predictive modeling, in the literature, uses broadly susceptible exposed infected recoverd (SEIR)/SIR, agent-based, curve-fitting models. Governments and legislative bodies rely on insights from prediction models to suggest new policies and to assess the effectiveness of enforced policies. Therefore, access to accurate outbreak prediction models is essential to obtain insights into the likely spread and consequences of infectious diseases. The objective of this study is to predict the future COVID-19 situation of Korea. Here, we employed 5 models for this analysis; SEIR, local linear regression (LLR), negative binomial (NB) regression, segment Poisson, deep-learning based long short-term memory models (LSTM) and tree based gradient boosting machine (GBM). After prediction, model performance comparison was evelauated using relative mean squared errors (RMSE) for two sets of train (January 20, 2020-December 31, 2020 and January 20, 2020-January 31, 2021) and testing data (January 1, 2021-February 28, 2021 and February 1, 2021-February 28, 2021) . Except for segmented Poisson model, the other models predicted a decline in the daily confirmed cases in the country for the coming future. RMSE values' comparison showed that LLR, GBM, SEIR, NB, and LSTM respectively, performed well in the forecasting of the pandemic situation of the country. A good understanding of the epidemic dynamics would greatly enhance the control and prevention of COVID-19 and other infectious diseases. Therefore, with increasing daily confirmed cases since this year, these results could help in the pandemic response by informing decisions about planning, resource allocation, and decision concerning social distancing policies.

• 한국멀티미디어학회논문지
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• 제24권9호
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• pp.1224-1241
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• 2021

Recent development of deep learning techniques for image generation has led to straightforward generation of sophisticated deepfakes. However, as a result, privacy violations through deepfakes has also became increased. To solve this issue, a number of techniques for deepfake detection have been proposed, which are mainly focused on RGB channel-based analysis. Although existing studies have suggested the effectiveness of other color model-based analysis (i.e., Grayscale), their effectiveness has not been quantitatively validated yet. Thus, in this paper, we compare the effectiveness of Grayscale channel-based analysis with RGB channel-based analysis in deepfake detection. Based on the selected CNN-based models and deepfake datasets, we measured the performance of each color model-based analysis in terms of accuracy and time. The evaluation results confirmed that Grayscale channel-based analysis performs better than RGB-channel analysis in several cases.

• 한국수학교육학회지시리즈D:수학교육연구
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• 제24권3호
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• pp.137-173
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• 2021

Research and national standards, such as the Next Generation Science Standards (NGSS) in the United States, promote the development and implementation of K-12 interdisciplinary curricula integrating the disciplines of science, technology, engineering, mathematics, and computer science (STEM+CS). However, little research has explored how teachers provide epistemic support in interdisciplinary contexts or the factors that inform teachers' epistemic support in STEM+CS activities. The goal of this paper is to articulate how interdisciplinary instruction complicates epistemic knowledge and resources needed for teachers' instructional decision-making. Toward these ends, this paper builds upon existing models of teachers' instructional decision-making in individual STEM+CS disciplines to highlight specific challenges and opportunities of interdisciplinary approaches on classroom epistemic supports. First, we offer considerations as to how teachers can provide epistemic support for students to engage in disciplinary practices across mathematics, science, engineering, and computer science. We then support these considerations using examples from our studies in elementary classrooms using integrated STEM+CS curriculum materials. We focus on an elementary school context, as elementary teachers necessarily integrate disciplines as part of their teaching practice when enacting NGSS-aligned curricula. Further, we argue that as STEM+CS interdisciplinary curricula in the form of NGSS-aligned, project-based units become more prevalent in elementary settings, careful attention and support needs to be given to help teachers not only engage their students in disciplinary practices across STEM+CS disciplines, but also to understand why and how these disciplinary practices should be used. Implications include recommendations for the design of professional learning experiences and curriculum materials.