• 한국지구과학회지
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• 제23권8호
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• pp.666-675
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• 2002

본 연구에서는 자기 주도적 학습을 위한 웹기반 수준별 학습 자료를 설계 ${\cdot}$ 개발하고 이를 현장에 적용하여 그 효과를 검증하고자 하였다. 이를 위하여 제7차 교육과정 고등학교 과학10의 ‘일기와 기후’ 단원을 기본 학습자료와 심화 ${\cdot}$ 보충형 학습자료로 설계 ${\cdot}$ 개발하고 이를 적용하여 그 효과를 전통적 수업과 비교한 결과는 다음과 같다. 첫째, 웹 기반수준별 학습은 전통적 수업보다 학생들의 자기 주도적 학습특성 중 자아개념, 학습열성, 미래지향성, 창의성, 자기 평가력에 긍정적인 효과를 나타내었으며 이는 학습자가 주어진 학습체제와의 다양한 교류를 통하여 필요한 정보와 지식을 획득하는 웹 학습의 특성 때문인 것으로 보인다. 웹 기반 수준별 학습이 자기 주도적 학습특성에 미치는 효과를 학습능력별로 살펴본 결과, 학습자의 학습능력 수준에는 무관한 것으로 나타났다. 둘째, 웹 기반 수준별 학습은 전통적 수업보다 학생들의 과학성취도에 긍정적인 효과를 나타내었으며 학습능력 수준이 중위이상인 학습자들에게 더 효과적이었다. 이러한 연구의 결과를 고려할 때, 하위수준 학습자들의 학업성취도를 높이기 위해서는 보충학습의 내용을 더 구체적으로 구성하고 경로 면에서 학습자 편의성을 높이는 웹 설계가 필요하다. 셋째, 웹 기반 수준별 학습에 대한 학습자들의 인식 결과를 보면 시각적 효과와 화면 구성에 대하여 긍정적인 평가를 하였다. 또한 학습 경험을 계획하고 필요한 자원을 자신만의 경로로 찾아서 학습하는 자기 주도적 학습이 수준별 학습에 긍정적인 효과를 미치는 것으로 응답하였다.

• Nuclear Engineering and Technology
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• 제53권11호
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• pp.3465-3473
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• 2021

For a long time, research into integrated deterministic-probabilistic safety assessment has been continuously conducted to point out and overcome the limitations of classical ET (event tree)/FT (fault tree) based PSA (probabilistic safety assessment). The current paper also attempts to assert the reason why a technical transformation from classical PSA is necessary with a re-interpretation of the categories of risk. In this study, residual risk was classified into interpolating- and extrapolating-censored categories, which represent risks that are difficult to identify through an interpolation or extrapolation of representative scenarios due to potential nonlinearity between hardware and human behaviors intertwined in time and space. The authors hypothesize that such risk can be dealt with only if the classical ETs/FTs are freely relocated, entailing large-scale computation associated with physical models. The functional elements that are favorable to find residual risk were inferred from previous studies. The authors then introduce their under-development enabling techniques, namely DICE (Dynamic Integrated Consequence Evaluation) and DeBATE (Deep learning-Based Accident Trend Estimation). This work can be considered as a preliminary initiative to find the bridging points between deterministic and probabilistic assessments on the pillars of big data technology.

• STI Policy Review
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• 제9권1호
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• pp.30-54
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• 2018

The government of Indonesia has initiated the Master Plan of National Research (RIRN) 2017-2045 as a policy umbrella of national research activity. The initiative has been in place since 2015, yet the process required a long period of coordination. And with the extensive movement of evidence-based policymaking (EBPM), there has been a call of expectation towards policymakers to accurately use scientific evidence in their policymaking process. However, the complexity of policymaking process renders the ideal notion of EBPM questionable. This research attempts to understand how the EBPM as an idea can shape the interactions of actors in the policymaking process by using the discursive institutionalism as the analytical framework. By conducting ten interviews with actors involved in the making of RIRN and close examination of the policy documents for content analysis, this research describes the institutional features of EBPM discourse in Indonesia, which are reflected in the interactions of policy actors in the policymaking process of RIRN. This research also offers descriptive and learning narratives on the role of discourse in the policymaking process.

• 한국프랜차이즈경영연구
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• 제11권4호
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• pp.31-44
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• 2020

Purpose: The purpose of this study is to examine the effects of CEO's self-determination on entrepreneurship, business performance (operational and financial performance). Also, this research provide some strategic insights for improving business performance. In the proposed model, self-determination consists of autonomy, competence, and relatedness, and entrepreneurship consists of innovation, initiative and risk sensitivity, and proactiveness. More specifically, this study proposes a framework that entrepreneurship and operational performance will play mediating roles between self-determination and financial performance. Research design, data, methodology: In this study, an online survey was conducted on SME CEOs for analysis, and a total of 122 samples were used. In the analysis process for hypothesis verification and evaluation, frequency analysis was first performed to identify the demographic characteristics of the respondents, and confirmatory factor analysis was conducted to assess the reliability and validity of the measurement model. In addition, a structural model analysis was conducted to examine the structural relationships between CEO's self-determination, entrepreneurship, and business performance (operational and financial performance) using SmartPLS 3.0. Results: The findings and summary are as follows. First, the autonomy of self-determination has a positive effect on entrepreneurship. Second, the competence of self-determination affects entrepreneurship and operational performance. Third, it affects the innovation, initiative and risk sensitivity of the CEO's entrepreneurship, and ultimately, its operational performance. The results show that the business performance of Start-up also increases when self-determination can be a factor in increasing entrepreneurship in three sub-dimensionalities. Conclusions: The conclusion of this study is that in order for SMEs to develop into a sustainable company by securing competitiveness after start-up, external motivation such as external help and support from the state (local government) is important, but competence and relationship, which are components of self-determination. The intrinsic motivation of the CEO may be more important. To this end, CEO's should prioritize learning for competency development, and the government should pay attention to providing various educational programs through establishment of education policies and education systems to enhance the competency of start-up CEO's.

• ETRI Journal
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• 제20권1호
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• pp.1-15
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• 1998

The recent technological and industrial revolution dictates a new approach in constructing Korean Information Infrastructure. Lacking past data on the newly emerging markets, econometrics methodologies cannot accurately forecast future path of advanced networks, let alone dynamic impacts of public policies. In this paper, we have built a system dynamics model of the Korean Information Infrastructure and simulated diverse policy measures including market integration and government initiative in investment for experimenting their effectiveness. The most counterintuitive result of our research is that the market integration policy will facilitate CATV networks at an early stage until the year 2010, but will result in a diminished market size in the long run. With the system dynamics approach, we can enhance our understanding of the complex policy systems and get valuable insights through learning by modeling and simulation.

• 한국수학교육학회지시리즈D:수학교육연구
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• 제13권4호
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• pp.331-339
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• 2009

The research on the Olympic mathematics education has become an internationally recognized educational activity. In some cities of China, especially big cities, the Olympic mathematics education is developing like raging fire. Many parents send their children to training school to get the Olympic mathematics education, no matter whether the children are willing to or not. They hope that through the training, their children can be outstanding when entering higher school. However, this practice has deeply affected children's learning initiative. In this paper, we analyzed both the history and the present situation of the Olympic mathematics education in China. We have some suggestions based on the problems emerging nowadays.

• 영재교육연구
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• 제21권1호
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• pp.1-17
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• 2011

본 연구의 목적은 영재아와 일반 초등학교 학생의 독서성향과 진로태도 성숙 및 자기주도적학습 특성을 비교해보고 그 관계를 살펴보는 데에 있다. 영재아와 일반아의 독서성향을 비교하였을 때, 영재아는 일반아보다 독서흥미, 독서경험이 유의미하게 높은 결과를 나타냈으며 이는 독서수준이 높다는 결과와 일치하였다. 또한 영재아와 일반아의 진로태도성숙을 비교한 결과 진로태도성숙 하위 요인 중에서 결정성, 목적성, 확신성은 영재아가 일반아보다 유의미하게 높게 나타났다. 영재아와 일반아의 자기주도적학습 특성을 비교한 결과 모든 항목에서 영재아는 일반아보다 높은 점수를 나타냈다. 독서 성향과 진로태도성숙, 또 독서성향과 자기 주도적 학습 특성 사이에는 정적으로 유의미한 상관관계가 있었다.

• Asian Journal for Public Opinion Research
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• 제4권3호
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• pp.166-177
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• 2017

The Two Nations One Mind film contest was launched by the collaboration between Pukyong National University (PKNU) in Busan, The Republic of Korea (South Korea) and the University of the Thai Chamber of Commerce (UTCC) in Bangkok, Thailand. The project was funded mainly by the Ministry of Foreign Affairs, South Korea. The intention of the project was to increase the recognition of Korea in Thailand through co-production filmmaking between university students from the two countries. This paper aims to look at the feedback from the project participants from both nations as to how international co-productions resulted in cultural exchange and international youth cooperation. The paper also examines the films produced from the project, Blossom, Different (Yet) the Same, Two Taste, Two Nations and When I Was There, for how they reflect the elements of transnational cinema. The comments from the films' audience were also taken as part of the data.

• 정보교육학회논문지
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• 제22권2호
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• pp.223-230
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• 2018

2018학년도부터 초 중 고등학교에서 소프트웨어 교육이 시행될 예정이다. 소프트웨어 교육의 핵심 내용 중의 하나는 알고리즘 교육이라고 할 수 있다. 다른 분야와 마찬가지로 알고리즘 교육도 학생들의 주도적 활동이 성공을 좌우한다고 볼 수 있으며 학생들의 주도적 학습은 학생들의 흥미와 몰입도를 높일 때 이끌어낼 수 있다. 이에 본 논문에서는 알고리즘 교육에 스포츠 경기를 접목하여 소프트웨어 배틀이라는 개념을 제안하였다. 소프트웨어 배틀은 가상의 세계에서 프로그래밍된 개체들이 중간에 사람의 개입 없이 주어진 문제를 해결하는 경기를 하는 것으로 정의하였다. 이는 다양한 주제에 적용될 수 있는데 본 논문에서는 알고리즘 교육의 대표적 주제인 정렬 분야에 적용을 시도하였다. 알고리즘 교육을 소프트웨어 배틀에 적용한 결과는 학생들이 생소한 면을 느끼기는 하였지만 대체적으로 긍정적인 반응을 보였다. 이는 소프트웨어 배틀이 여러 교육 방법 중에 하나로 활용될 수 있음을 나타낸다고 할 수 있다.

• 스마트미디어저널
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• 제13권6호
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• pp.90-97
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• 2024

This paper focuses on detecting Alzheimer's Disease (AD). The most usual form of dementia is Alzheimer's disease, which causes permanent cause memory cell damage. Alzheimer's disease, a neurodegenerative disease, increases slowly over time. For this matter, early detection of Alzheimer's disease is important. The purpose of this work is using Magnetic Resonance Imaging (MRI) to diagnose AD. A Convolution Neural Network (CNN) model, Reset, and VGG the pre-trained learning models are used. Performing analysis and validation of layers affects the effectiveness of the model. T1-weighted MRI images are taken for preprocessing from ADNI. The Dataset images are taken from the Alzheimer's Disease Neuroimaging Initiative (ADNI). 3D MRI scans into 2D image slices shows the optimization method in the training process while achieving 96% and 94% accuracy in VGG 16 and ResNet 18 respectively. This study aims to classify AD from brain 3D MRI images and obtain better results.