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콘텐츠 활용 중심 음악 수업에 대한 중학생의 인식 조사
우지원 ( Woo Jiwon ),신지혜 ( Shin Jihae ) 한국예술교육학회 2021 예술교육연구 Vol.19 No.4
본 연구의 목적은 2020년 시행된 콘텐츠 활용 중심 음악 수업을 경험한 중학생들의 인식은 어떠한지를 조사하고 분석하는 데에 있다. 이를 위해 서울시 9개 학교를 선정하고 총 372명의 학생을 대상으로 설문 조사를 시행하였다. 그 결과, 약 50%의 학생들이 학습을 완료하는데 20-40분의 시간을 사용하였으며, 대부분의 학생이 주어진 기간 안에 학습을 완료하는 모습을 보였다. 또한, 20% 학생이 콘텐츠를 반복하여 학습하고 있었으며, 학습량과 콘텐츠 개수가 적당하고 인식하고 있었다. 학습 내용 및 활동과 관련해서는 영상과 음원 형태의 콘텐츠를 가장 선호하였으며, 교사가 제공하는 피드백에 만족감을 나타내었다. 학습 결과와 관련해서는 반복하여 콘텐츠를 학습하는 학생과 그렇지 않은 학생 사이에 학습 목표 달성과 가창, 기악, 감상, 창작, 창의성 등 대부분의 효과성 영역에서 차이를 나타냈다. 감상 영역의 선호도가 가장 높게 나타난 가운데 다른 영역의 선호도 및 긍정 응답도 함께 나타남에 따라, 감상 영역뿐 아니라 전 영역에서 다양한 수업이 이루어져야 함을 제언하였으며, 적절한 매체와 교수방법을 사용하여 반복학습이 이루어질 수 있는 시스템, 교수학습 방법의 개발 및 상호작용이 활발히 이루어질 수 있는 수업이 필요함을 제언하였다. The purpose of this study is to analyze middle school students’ perceptions of content utilization- focused music classes conducted in 2020. The survey was collected from 372 students over nine schools in Seoul. The results showed that about 50% of participants spent 20-40 minutes to complete their study, and most of them finished their assignments in a given frame of time. Also, approximately 20% of students were repeatedly studying the contents, and participants considered the amount of learning and number of contents to be appropriate. They preferred video and sound for learning contents and were satisfied with teacher feedback. Regarding the results of learning, participants showed a great difference in the effectiveness area, including achievement of learning goals, singing, instrumental music, appreciation, composition and creativity, between students that repeatedly studied the contents and those who did not. Despite the high preference level in the listening area, preference and positive responses arose for different areas as well. Thus, we suggested that diverse classes that cover all domains instead of just listening oriented classes should be included, as well as a system that encourages repetitive learning through appropriate mediums and teaching methods, the development of teaching and learning methods, and classes which encourage active interaction among learners.
Unsupervised Liver Segmentation using Domain Adaptation in MRI
Jiwon Jung(정지원),Ehwa Yang(양이화),Woo Kyoung Jeong(정우경),Kyoung Doo Song(송경두),Jae-Hun Kim(김재훈) 한국통신학회 2022 한국통신학회 학술대회논문집 Vol.2022 No.2
Liver segmentation is an essential procedure in Computer-Aided Diagnosis (CAD), surgery, and volume measurement for radiotherapy. But it is still a challenging task to extract liver tissue parenchyma due to nearby organs with similar intensities. When we segment the liver using supervised deep learning, fully-annotated datasets are needed. However, it is hard to obtain well-annotated labels because of their diverse appearances such as size and shape. Also, it takes expensive costs for labeling. In this paper, we performed unsupervised liver segmentation in unlabeled Magnetic Resonance Imaging (MRI) datasets using deep learning. To generate labels of MRI, the domain adaptation technique is applied with CT images containing well-annotated labels. We trained the segmentation model with the MRI dataset which is transferred from CT images and evaluated the model on real MRI datasets. The performance of our model shows 88% dice similarity coefficient accuracy. This study could be one of the solutions to handle the difficulty to train deep learning models with unlabeled datasets.
Jiwon Shin,Ok Hee Woo,Hye Seon Shin,Sung Eun Song,Kyu Ran Cho,Bo Kyoung Seo 대한영상의학회 2022 대한영상의학회지 Vol.83 No.5
Purpose To evaluate the diagnostic performance of digital breast tomosynthesis (DBT) with the two-dimensional synthesized mammogram (2DSM), compared to full-field digital mammography (FFDM), for suspicious microcalcifications in the breast ahead of stereotactic biopsy and to assess the diagnostic image visibility of the images. Materials and Methods This retrospective study involved 189 patients with microcalcifications, which were histopathologically verified by stereotactic breast biopsy, who underwent DBT with 2DSM and FFDM between January 8, 2015, and January 20, 2020. Two radiologists assessed all cases of microcalcifications based on Breast Imaging Reporting and Data System (BI-RADS) independently. They were blinded to the histopathologic outcome and additionally evaluated lesion visibility using a fivepoint scoring scale. Results Overall, the inter-observer agreement was excellent (0.9559). Under the setting of category 4A as negative due to the low possibility of malignancy and to avoid the dilution of malignancy criteria in our study, McNemar tests confirmed no significant difference between the performances of the two modalities in detecting microcalcifications with a high potential for malignancy (4B, 4C, or 5; p = 0.1573); however, the tests showed a significant difference between their performances in detecting microcalcifications with a high potential for benignancy (4A; p = 0.0009). DBT with 2DSM demonstrated superior visibility and diagnostic performance than FFDM in dense breasts. Conclusion DBT with 2DSM is superior to FFDM in terms of total diagnostic accuracy and lesion visibility for benign microcalcifications in dense breasts. This study suggests a promising role for DBT with 2DSM as an accommodating tool for stereotactic biopsy in female with dense breasts and suspicious breast microcalcifications.
JiWon KIM,HoSung WOO 한국4차산업학회 2022 4차산업연구 Vol.2 No.1
Purpose - As new technologies that have led the 4th industrial revolution spread after the COVID-19 pandemic, the business crisis of existing financial institutions and the threat of employee jobs are growing, especially in the financial sector. The purpose of this study is to propose a human-technology convergence curriculum for creating high valueadded in financial institutions and upskilling financial manpower. Research design, data, and methodology - In this study, a curriculum was designed to strengthen job competency for Private Bankers, high-quality employees of a bank dealing with high-net-worth owners. The focus of the design is that learners acquire skills to use robo-advisors as a tool and supplement artificial intelligence ethics. Result - The curriculum is organized into a total of 16 classes, and the main contents are changes in the financial environment and financial consumers, the core technology of robo-advisors and AI ethics, and establishment and evaluation of hyper-personalized asset management strategies using robo-advisors. To achieve the educational goal, two evaluations are performed to derive individual tasks and team project results. Conclusion - Human-centered upskilling convergence education will contribute to improving employee value and expanding corporate high value-added business areas by utilizing new technologies as tools. It is expected that the development and application of convergence curriculum in various fields will continue to be advanced in the future.