• 인간행동과 음악연구
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• 제18권1호
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• pp.79-102
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• 2021

본 연구는 이해중심 교육과정과 맞춤형 수업을 적용하여 초등학교 통합학급에서의 음악과 수업 방안을 제시하고, 통합교육의 실현 가능성을 탐색하는 데 목적이 있다. 이를 위하여 백워드 설계 템플릿 2.0 버전을 바탕으로 초등학교 3·4학년 통합학급의 음악과 단원을 개발하였고, 지적장애 학생을 대상으로 한 맞춤형 수업의 예시를 제시하였다. '바라는 결과 확인하기', '수용 가능한 증거 결정하기', '학습 경험 계획하기'의 3단계로 구성하였으며, 각 단계별로 특수교육대상학생을 고려한 맞춤형 수업의 요소를 제시하였다. 1단계에서는 교육과정의 성취기준을 분석하여 목표와 본질적 질문을 제시하였다. 2단계에서는 GRASPS 기법을 활용하여 수행과제를 개발하고, 그에 따른 루브릭과 다른 증거 자료를 제시하였다. 학생의 준비도, 흥미, 학습 유형에 따른 다양한 평가 방법을 제시하였다. 3단계에서는 WHERETO 모형을 활용하여 7차시의 학습을 계획하였다. 또한 교실의 요소를 유연하게 사용하여 지적장애 학생을 위한 맞춤형 수업의 예시를 제시하였다. 본 연구를 통하여 모든 학생의 이해를 강조하는 이해중심 교육과정과 학생의 다양성을 배려하는 맞춤형 수업을 상호보완적으로 연계하여 통합교육의 방법으로 활용할 수 있는 가능성을 제시하였다. 이를 바탕으로 통합교육의 실현을 위한 음악교육 설계 및 방법에 대한 연구가 활발히 이루어져야 한다.

• 한국멀티미디어학회논문지
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• 제24권2호
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• pp.208-214
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• 2021

Since face masks in public were mandated during COVID-19, more people have taken temperature checks, with their masks on. The study has developed a contactless thermal camera that accurately measures temperatures of people wearing different kinds of masks, detect people wearing masks wrong, and record the temperature data. The built-in system that identifies people wearing masks wrong is what masks our contactless thermal camera differentiated from other thermal cameras. Also our contactless thermal camera can keep track of the number of mask wearers in different regions and their temperatures. Thus, the analysis of such regional data can significantly contribute to stemming the spread of the virus.

• 한국초등과학교육학회지:초등과학교육
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• 제23권3호
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• pp.219-227
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• 2004

This study aims to investigate science teaching and learning for the gifted in comparison with regular classrooms in elementary schools. A questionnaire was developed to survey gifted and general students＇ perceptions to elementary science teaching and teaming with employing a teaching and learning model for the gifted by Maker and Neilson (1995, 1996). The 28 item questionnaire consisted of four categories of content, teaching and teaming process, student product, and learning environment, and each category included six to nine items. Randomly selected 114 students from gifted classes and 99 students for regular classes responded to the questionnaire through the use of five-point Likert scale. It was found that there are significant differences between gifted and regular classes of science at all four categories of the teaching and learning model for the gifted. Therefore, science teaching and teaming for the gifted seemed to be differentiated from regular classes and emphasized students＇ creativity. However, no differences were appeared in a few items: study of gifted people and research methods (gifted=3.0; regular=.21 F=2.54), students＇ freedom of choice for topics of lessons, tasks, etc., (gifted=3.1; regular=3.0, F=0.31), student product addressed to real audience (gifted=2.8, regular=2.6, F=0.96), and students＇ high mobility to seek for data in library, etc. during class periods (gifted=2.3, regular= 2.3, F=0.01). It was concluded that science education for the gifted in Korea calls for quality improvement in terms of teaching and teaming in various aspects.

• 수산해양교육연구
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• 제20권3호
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• pp.343-357
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• 2008

Generally, schooling is implemented by instruction in the classroom. And instruction is made progress by concrete interaction through teacher's question and students' answer or presentation. According to a lot of researches on teacher-student interaction, student's opportunity of class presentation is influenced by students' self-esteem, learning attitude, academic achievement, and relationships. And students' opportunity of class presentation is very important not only students but also social equality and democracy. Therefore, teachers have to recognize the importance of students' opportunity of class presentation. However, according to many referential researches, students' opportunity of class presentation is differentiated by students' academic ability and social-economic status. The purpose of this study was to ascertain whether students' opportunity of class presentation was differentiated by students' academic ability and social-economic status or not. The method of this study was used checklist, interview, and class observation for a month. This study indicates that in spite of some exceptional cases, many students were taken the opportunity of class presentation differently by his/her academic ability and social-economic status. And teacher does not recognize that whether she gives student's opportunity of class presentation differently or not. To be a good teacher, teacher should reflect that teaching students is not easy, and teaching students is very important. And teacher should recognize that her speaking, action, and interaction with students including students' opportunity of class presentation influences students' self-esteem, learning attitude, academic achievement, and relationships.

• 한국콘텐츠학회:학술대회논문집
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• 한국콘텐츠학회 2005년도 춘계 종합학술대회 논문집
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• pp.19-30
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• 2005

학습자의 학습양식에 대한 많은 연구들은 주로 학습자의 관점에서 이루어지고 있으며, 학습자를 가르치고 지도하게 되는 교수자들이 인식하는 학습자의 학습양식에 대한 비교연구는 드문 편이다. 이는 교수자들이 학습자들에 대한 인식을 학습자들 자신과 다르게 하고 있을 경우 학습내용 및 활동의 전개는 물론 학습결과에 대한 의구심을 가지게 하는 부분이며, 특히 기하급수적으로 확산이 되고 있는 인터넷학습의 경우 학습자들뿐 아니라 교수자들의 학습자 인식에 대한 연구가 시급한 실정이다. 이러한 관점에서 본 논문은 향후 사이버 학습체제로 학교와 가정에서 인터넷 학습에 많은 시간을 할애하게 될 초등과 중등 학습자들이 인터넷 학습시 어떤 유형의 학습양식을 선호하고 있으며, 이는 교수자들의 인식과 어떻게 다른지를 분석하여 이를 바탕으로 향후 인터넷 학습에서 고려할 시사점들을 도출해 보는데 목적이 있다. 본 논문은 전국의 초등학생 386명, 중학생 627명, 교사 130명을 대상으로 실시하였다. 학습자와 교수자들의 인식차이를 분석하기 위하여 t-검증을 실시하였으며 그 결과 초등 및 중등의 학습자들은 인터넷환경에서 자기 주도적으로 학습하는 양식을 선호하였으며, 교수자들도 학습자들이 인터넷 자기주도형의 학습양식을 선호한다고 인식하고 있었다. 하지만 초등과 중등 모두 교수자들은 학습자들이 스스로 판단하는 것보다 상당히 자기주도형 이면서도 의존형이라고 인식함으로서 향후 인터넷학습의 설계와 개발전략에 고려할 점을 시사하고 있다. 본 논문은 결과로 향후 초등과 중등의 인터넷학습에서 학습자양식을 반영한 설계와 개발이 이루어 져야 하며, 이는 각 교과목에 반영이 되어야 하고, 교수와 학습전략에서 상당한 변화를 가져와야 하며 사이버교사들의 튜터링에서도 차별화된 전략을 가져와야 함을 강조한다.한다.분야 별로 아키텍쳐 정도가 다르게 나타나고 있었다(전자 부품은 분야는 오히려 모듈형에 가까웠음). 비단 항공기 개발과정 뿐만 아니라 다른 산업, 제품에도 적용될 수 있는 틀을 마련함으로써, 기존 연구개발기회에서 산업기술 분석을 통한 체계적 기획으로 전환할 수 있는 새로운 대안을 제시한다. 결과적으로 산업기술의 특성과 구조를 반영한 기술개발 방법론으로 아키텍쳐 이론을 적용할 수 있는 단초를 마련했으며, 이것은 본 논문이 기대하는 바이기도 하다.쁖잖⨀쁖잖⨀／ࠐ쁡잖⨀焆덐瀆倆Ā뫫뫫ĀĀĀĀꪛ䂇잖⨀?잖⨀⁅잖⨀耇잖⨀梷熸ጁ庆䌀―?⨀က䀜徾遖洀ᘘ⼄ⴟᠯЭ⠘

• International Journal of Internet, Broadcasting and Communication
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• 제7권2호
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• pp.79-83
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• 2015

The Response to Intervention(RTI) approaches is the method to help students who are at risk for learning difficulties in advance and provide an appropriate level of intervention. In this article, the characteristics of model RTI were reviewed for students with achievement of below basic proficiency level. We considered RTI as supporting system to document students' progress and its applicability for the general educational setting in Korean school. The tier of RTI make it possible the evidence based individual instruction and counseling, differentiated step-by step approach for students with achievement of below basic proficiency level. In conclusion, RTI can be used as educational tools for dealing with improvement of academic subjects learning, behavioral and emotional problem for students with achievement of below basic proficiency level. For building high quality implementing for RTI it is needed the collaboration of teachers, counselors and learning consultants and related educators.

• 한국융합학회논문지
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• 제9권7호
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• pp.293-300
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• 2018

청소년기 운동선수들에게 다양한 진로 선택의 기회를 실현시켜주기 위해서는 가장 먼저 학생 자신의 적성에 맞는 직업을 선택할 수 있도록 도움을 주는 것이다. 청소년기 운동선수들은 일반적인 청소년들과 달리 다양한 진로를 선택하고 이를 실현하는데 사용될 수 있는 절대적인 시간이 부족한 것이 현실이다. 따라서 청소년기 운동선수들에게는 자신의 적성에 맞는 직업군 별로 차별화되고 특성화된 융합적 학습자료가 필요한 것이다. 이들 직업군 별로 특성화된 학습자료는 가장 적은 시간의 투입으로 가장 큰 교육효과를 나타낼 수 있는 방법이기에 청소년기 운동선수들의 다양한 진로 선택의 기회를 실현시켜주기 위해서라도 꼭 필요한 정보로써의 활용 가치가 높다고 할 수 있다.

• 인터넷정보학회논문지
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• 제19권2호
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• pp.57-67
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• 2018

The $4^{th}$ industrial revolution has brought innovation in the educational environment. The purpose of this study is to verify the educational effectiveness of smart learning environment especially with the computational thinking. A big data analysis was performed to confirm that computational thinking is the one to prepare the 4th industrial revolution. To teach computational thinking at university, educational design should be careful. This study verified the relationship between improvement of computational thinking ability and major of students with coding education. There was difference in effectiveness of the coding education depending on the major of students, it means students must be guaranteed to be educated by the differentiated coding education for different major. This study extracted factors of computational thinking through literature review. Thirteen research hypotheses were applied for the statistical analysis in R language. It was proved that expectation of class and improvement of abstraction ability and algorithmic thinking ability had mediation effect to the relationship between knowledge acquisition and problem-solving abilities. Based on this study, effectiveness of education can be improved, and it will lead to produce a lot of distinguished students who are ready for the 4th industrial revolution.

• Journal of Information Technology Applications and Management
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• 제17권2호
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• pp.19-45
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• 2010

This research has analyzed the differentiated influence of organizational variables(an organization's learning culture and organizational support networks) and personal variables(the individual's motivation to learn and self-efficacy) on the process of gaining and using of knowledge. These two variables have been regarded as the major variables for the successful learning of 6Sigma, according to Social Cognitive Theory. In addition, this research has proven the role structure of the abovementioned two variables through a suitable methodology(Hierarchical Linear Model). In regard to this methodology, the different hierarchical level of the personal variable and organizational variable was especially focused on, and the effect of interaction between the high level and the low level was considered in detail. Considering the current situation, in that the importance of organizational factor and personal factor has been emphasized but the accurate role of each variable has not been verified, the research model is thought to help to establish an effective strategy to implement 6 Sigma.

• Smart Structures and Systems
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• 제24권6호
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• pp.745-757
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• 2019

Road surface deteriorations such as potholes have caused motorists heavy monetary damages every year. However, effective road condition monitoring has been a continuing challenge to road owners. Depth cameras have a small field of view and can be easily affected by vehicle bouncing. Traditional image processing methods based on algorithms such as segmentation cannot adapt to varying environmental and camera scenarios. In recent years, novel object detection methods based on deep learning algorithms have produced good results in detecting typical objects, such as faces, vehicles, structures and more, even in scenarios with changing object distances, camera angles, lighting conditions, etc. Therefore, in this study, a Deep Learning Pothole Detector (DLPD) based on the deep region-based convolutional neural network is proposed for autonomous detection of potholes from images. About 900 images with potholes and road surface conditions are collected and divided into training and testing data. Parameters of the network in the DLPD are calibrated based on sensitivity tests. Then, the calibrated DLPD is trained by the training data and applied to the 215 testing images to evaluate its performance. It is demonstrated that potholes can be automatically detected with high average precision over 93%. Potholes can be differentiated from manholes by training and applying a manhole-pothole classifier which is constructed using the convolutional neural network layers in DLPD. Repeated detection of the same potholes can be prevented through feature matching of the newly detected pothole with previously detected potholes within a small region.