• Nutrition Research and Practice
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• 제10권2호
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• pp.198-205
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• 2016

BACKGROUND/OBJECTIVES: A healthy diet has been reported to be associated with physical development, cognition and academic performance, and personality during adolescence. This study was performed to investigate the relationships among milk consumption and academic performance, learning motivation and strategies, and personality among Korean adolescents. SUBJECTS/METHODS: The study was divided into two parts. The first part was a survey on the relationship between milk consumption and academic performance, in which intakes of milk and milk products and academic scores were examined in percentiles among 630 middle and high school students residing in small and medium-sized cities in 2009. The second part was a survey on the relationships between milk consumption and learning motivation and strategy as well as personality, in which milk consumption habits were collected and Learning Motivation and Strategy Test (L-MOST) for adolescents and Total Personality Inventory for Adolescents (TPI-A) were conducted in 262 high school students in 2011. RESULTS: In the 2009 survey, milk and milk product intakes of subjects were divided into a low intake group (LM: ${\leq}60.2g/day$), medium intake group (MM: 60.3-150.9 g/day), and high intake group (HM: ${\geq}151.0g/day$). Academic performance of each group was expressed as a percentile, and performance in Korean, social science, and mathematics was significantly higher in the HM group (P < 0.05). In the 2011 survey, the group with a higher frequency of everyday milk consumption showed significantly higher "learning strategy total," "testing technique," and "resources management technique" scores (P < 0.05) in all subjects. However, when subjects were divided by gender, milk intake frequency, learning strategy total, class participation technique, and testing technique showed significantly positive correlations (P < 0.05) in boys, whereas no correlation was observed in girls. Correlations between milk intake frequency and each item of the personality test were only detected in boys, and milk intake frequency showed positive correlations with "total agreeability", "organization", "responsibility", "conscientiousness", and "intellectual curiosity" (P < 0.05). CONCLUSION: Intakes of milk and milk products were correlated with academic performance (Korean, social science, and mathematics) in Korean adolescents. In male high school students, particularly, higher milk intake frequency was positively correlated with learning motivation and strategy as well as some items of the personality inventory.

• 컴퓨터교육학회논문지
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• 제11권6호
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• pp.11-27
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• 2008

컴퓨터 실습수업에서 웹기반 학습을 도입하여 효과적이라는 연구결과가 많이 있지만 웹기반 학습은 교수자와의 정의적 교류를 통한 인간적 피드백의 부족과 웹기반 학습에 적응하지 못하는 학습자가 발생할 수 있다는 문제점들이 있다. 본 논문에서는 수준별 학습을 위해 웹기반 학습을 도입하고, 웹기반 학습의 문제점 보완과 학자자간 학업성취도 격차를 좁히기 위해 동료교수법을 결합한 혼합학습의 효과를 밝혔다. 실험적인 목적을 위해 고등학교 학습자를 두 그룹으로 나누고, 엑셀 교수-학습 시스템을 개발하여 이를 두 그룹 모두에 적용해 웹기반 수준별 기본학습을 선행하도록 하였다. 선행학습 후 실습문제 해결을 위해 웹기반 학습과 동료교수법을 비교집단과 실험집단에 각각 적용하였다. SPSS에 의해 분석된 학업성취도 평가 결과는 웹기반 선행학습과 동료교수법을 결합한 혼합학습이 하업성취도 향상에 긍정적인 효과가 있었다는 것을 보여주었다. 특히 혼합학습을 적용한 실험집단의 중 하위권 학습자들이 학업성취도에 있어 많은 향상을 보이며 상위권 학습자들과 격차를 좁힌 것이 실험집단의 전체 학업성취도 향상에 주요원인으로 분석되었다.

• 지능정보연구
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• 제22권4호
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• pp.193-215
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• 2016

최근 다양한 소셜 네트워크 서비스의 증가로 인해 사용자들은 각자의 목적 및 취향에 따라 여러 매체를 동시에 이용하는 경향을 보이고 있다. 또한 특정 주제에 대한 정보를 수집할 때에도 소셜 네트워크 서비스, 인터넷 뉴스, 블로그 등 여러 매체를 동시에 활용하는 것이 일반적이다. 하지만 다양한 매체를 통해 유통되는 문서들은 서로 유사한 주제, 심지어는 동일한 내용을 다루더라도 각 매체 별 정책 및 기준에 따라 각기 다른 카테고리로 관리되고 있으며, 이는 이종 매체를 아우르는 범위에서 특정 카테고리에 대한 탐색을 수행하고자 하는 시도에 걸림돌로 작용하고 있다. 이러한 제약을 극복하기 위해, 본 연구에서는 기존 매체 고유의 카테고리 체계는 그대로 유지하면서 이종 매체 간 카테고리 매핑을 수행하는 방법을 제시한다. 즉, 개별 문서를 다양한 매체의 관점에서 재분류하고 이러한 결과를 문서에 2차원 레이블로 저장함으로써, 이종 매체에 속한 다양한 문서들을 마치한 매체에 속한 것과 같이 동일한 카테고리 기준으로 탐색할 수 있는 논리적 장치를 제안한다. 본 논문에서는 국내 인터넷 뉴스 포털 사이트 두 곳의 뉴스 기사 6,000건에 대해 제안 방법론을 적용한 실험을 통해 각 기사에 매체와 카테고리 정보로 구성된 2차원 레이블을 부여하였으며, 매체 간, 지도 학습과 준지도 학습 간, 동질 학습 데이터와 이질학습 데이터 간의 정확도 비교 실험을 수행하였다. 특히 매우 흥미롭게도, 일부 카테고리에서 이질 학습 데이터를 사용한 준지도 학습의 분류 정확도가 지도 학습 및 동질 학습 데이터를 사용한 준지도 학습의 분류 정확도보다 높게 나타나는 현상을 발견하였다.

• 한국산학기술학회논문지
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• 제14권2호
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• pp.665-673
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• 2013

본 연구는 사회복지기관의 학습조직 특성을 파악하고 학습조직이 조직몰입 및 이직의사에 미치는 영향을 분석하는데 그 목적을 두고 있다. 이를 위해 학습조직의 개념과 구성요소를 비교적 가장 명확히 제시하고 있는 Senge(1990)의 학습조직모형을 적용하여 학습조직을 공유된 비전, 개인적 숙련, 팀 학습 및 시스템 사고로 구성하였고, 민간분야 사회복지사 342명의 구조화된 설문조사를 실시하고 자료를 분석하였다. 연구결과 조사대상자들의 학습조직 수준은 평균값 이상의 결과를 보여주고 있으며, 상관분석 결과 학습조직은 조직몰입과는 정(+)의, 이직의사와는 부(-)의 관계를 갖는 것으로 나타났다. 학습조직이 조직몰입에 미치는 영향에 관한 회귀분석 결과 공유된 비전, 개인적 숙련 및 팀 학습은 조직몰입에 긍정적인 영향을 미치고, 공유된 비전과 팀 학습은 또한 이직의사에 부(-)적 영향을 미치는 것으로 나타났다. 이러한 결과를 바탕으로 학습조직 구축을 위한 정책적 및 실천적 함의를 논의하였다.

• International Journal of Contents
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• 제13권4호
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• pp.1-11
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• 2017

This paper studies the effect of flipping the classroom in undergraduate physics classes using English as the medium of instruction (EMI). Data on student use of learning strategies, course satisfaction level and perceptions of the flipped classes were collected through a survey including close-ended and open-ended questions. The sample size was 71 students in flipped classes, with 60 students in non-flipped classes used as a control group (total N=131). It was found that students in the flipped classes showed greater intrinsic goal orientation (p<.05), control of learning beliefs (p<.05), and use of critical thinking (p<.01) than those in the non-flipped classes. While the survey highlighted problems of student engagement with the pre-class activities, students who had previous experience with online classes committed more time to pre-class, suggesting that engagement may improve with exposure to blended learning. It is concluded that the flipped classroom helps students develop their identities as self-directed learners, but that more support is necessary for weaker students in the EMI context. Implications are drawn for the content design of flipped EMI classrooms.

• The Journal of Asian Finance, Economics and Business
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• 제8권2호
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• pp.1157-1168
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• 2021

Hotels drive the growth and development of tourism. Despite their important role, many hotels are small and medium-sized firms (SME) that are struggling to survive against fierce competition. Experts agree that strategic planning is vital for SME survival, but it is not wholly applicable for SME managers. Meanwhile, Mintzberg's concept of crafting strategy offers a more productive insight into SME strategic planning, but its abstract nature has historically discouraged empirical research on its practical benefits. This study will be the first to empirically explore the operationalization of Mintzberg's crafting strategy characteristics, and analyze its influence on organizational learning using structural equation model. Using a sample of 50 hotels in Bali, Indonesia, this study reveals that managing pattern and stability, detecting discontinuity, and knowing the business have a positive but weak effect, whereas reconciling change and continuity proves to have a positive and significantly strong effect on organizational learning. This study has bridged the gap between the abstract concepts of crafting strategy, which is a potentially better approach for SMEs, with daily operational practices. This study also proves that Mintzberg's approach can be used to predict organizational learning. This relationship is crucial since previous studies concluded that organizational learning improves company performance.

• 유통과학연구
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• 제20권5호
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• pp.1-11
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• 2022

Purpose: This study attemptsto investigate the moderating effects of environmental turbulence (ET) between learning orientation (LO) and SMEs' performance. Research design, data, and Methodology: To gain insights and provide implications for manufacturing SMEs in Pakistan, this study adopted simple random sampling to collect 379 valid responses. Data were collected through a self-administrative questionnaire from manufacturing SMEs owners/managers. Partial least squares of structural equation modeling have been used to test research hypotheses by using SmartPLS® 3.0 software. Results: The study's primary finding is that LO has a significantly positive effect on SMEs' performance and this relationship is strengthened under the moderating influence of environmental turbulence (ET). Conclusion: Environmental turbulence (ET) enables SMEs to focus on learning capability to get a more competitive advantage. Moreover, SMEs owner/managers ought to emphasize continuous learning that accentuates the capability to compete with environmental changes. Findings support notifying Pakistan's Small and Medium Enterprise Development Authority (SMEDA) in dealings with Manufacturing SMEs in terms of improving their internal capabilities. This research contributes to the literature as it provides a more detailed and in-depth explanation of distribution management-related issues faced by SMEs. This research carries a significant influence on literature and relevant Resource-based view and contingency theories.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권12호
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• pp.3868-3888
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• 2022

A widely used social networking service like Twitter has the ability to disseminate information to large groups of people even during a pandemic. At the same time, it is a convenient medium to share irrelevant and unverified information online and poses a potential threat to society. In this research, conventional machine learning algorithms are analyzed to classify the data as either non-rumor data or rumor data. Machine learning techniques have limited tuning capability and make decisions based on their learning. To tackle this problem the authors propose a deep learning-based Rumor Detection Neural Network model to predict the rumor tweet in real-world events. This model comprises three layers, AttCNN layer is used to extract local and position invariant features from the data, AttBi-LSTM layer to extract important semantic or contextual information and HPOOL to combine the down sampling patches of the input feature maps from the average and maximum pooling layers. A dataset from Kaggle and ground dataset #gaja are used to train the proposed Rumor Detection Neural Network to determine the veracity of the rumor. The experimental results of the RDNN Classifier demonstrate an accuracy of 93.24% and 95.41% in identifying rumor tweets in real-time events.

• 무역학회지
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• 제45권5호
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• pp.161-179
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• 2020

The importance of entering the international market for small and medium-sized enterprises (SMEs) has been continuously emphasized. As a way to overcome these factors, prior studies have increased interest in dynamic capability. The purpose of this study is to investigate the effects of entrepreneurial orientation, learning orientation, and dynamic capability on their international performance of SMEs. Drawing on an extensive review of the literature on dynamic capability view and internationalization, hypotheses are developed and tested using a sample of 214 SMEs in South Korea. Structural equation modeling was applied. As a result of analysis, first, dynamic capability has a significant effect on international performance. Second, entrepreneurial orientation has significant influence on dynamic capability. Third, learning orientation has significant influence on dynamic capability. Lastly, slack resource was found to moderate the relationship between dynamic capability and international performance. The results indicate that their entrepreneurial orientation and learning orientation ware driver of their dynamic capability. and that their dynamic capability was significant driver of their international performance. In the final conclusion, implications and limitations of research and suggestions for future research are discussed.

• Genomics & Informatics
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• 제15권4호
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• pp.162-169
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• 2017

Metal binding proteins or metallo-proteins are important for the stability of the protein and also serve as co-factors in various functions like controlling metabolism, regulating signal transport, and metal homeostasis. In structural genomics, prediction of metal binding proteins help in the selection of suitable growth medium for overexpression's studies and also help in obtaining the functional protein. Computational prediction using machine learning approach has been widely used in various fields of bioinformatics based on the fact all the information contains in amino acid sequence. In this study, random forest machine learning prediction systems were deployed with simplified amino acid for prediction of individual major metal ion binding sites like copper, calcium, cobalt, iron, magnesium, manganese, nickel, and zinc.