• 한국과학교육학회지
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• 제17권3호
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• pp.301-311
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• 1997

The purpose of this study is to construct a structural equation model and to analyze causal relationships among variables related to attitudes to science using structural equation modeling(SEM) with LISREL VII. The sample consisted of 483 10th grade boys from a general high school in Pusan, Korea. The questionnaires (ABC-attitude scale: affection, behavioral intention, cognition scale of attitude towards science) were developed by the researcher through a pilot study. And other instruments have modified previous ones. Five instruments were used in this study: GALT(group assessment of logical thinking), MTSlS(modified test of science inquiry skill), ABC-attitude scale, MSAS(modified scientific attitude scale), CSAT(common science achievement test). Structural equation modeling with LISREL VII($J\ddot{o}reskog$ & $S\ddot{o}rbom,$ 1993) was employed to estimate the causal inferences about hypothesized relationships among observed data sets. Three competing models consisted of five latent variable(scientific thinking ability, science inquiry skill, attitude towards science, scientific attitude, science achievement) - lP(inquiry preceding) model, AP(attitude preceding) model and AM(attitude mediating) model - were developed. Among these competing models, IP model satisfied the observed data sets. The causal relationships among "attitudes to science" and other latent variables were reliably identified. According to the results of the present study, science inquiry skill was the most significant variable that can predict science achievement. But scientific thinking ability has not directly influenced science achievement. This study suggests that inquiry based teaching-learning processes should be offered to students for improvement of science achievement. At the same time, it seems to be important to develop positive attitude towards science. Understanding of relationships among variables related to attitudes to science will be helpful to the development of science curriculum and to the design of science teaching and learning process. LISREL has been recognized as a useful approach in testing a SEM. However, in this study, LISREL approach was estimated as much more useful method for research design.

• 한국정보시스템학회지:정보시스템연구
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• 제17권4호
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• pp.99-127
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• 2008

E-learning becomes an important part of education these days in Korea. Students had no choice but to accept the e-learning when the e-learning was used as a supplementary learning tool within a traditional class or a stand-alone distance education. This study focuses on the students' intention of e-learning acceptance for voluntary studies. In voluntary study, students have the rights to adopt the e-learning or not for their personal study. We used individual characteristics as the external variables of TAM to explain user acceptance of e-learning for voluntary studies and examined the effect of individual characteristics on user's beliefs. Research model and nine hypotheses were set up to identify the relationships among these variables based on investigations of previous researches. The theoretical model is tested with questionnaires from 420 users who accept e-learning for voluntary studies. We tested the measurement and research models by applying a structural equation modeling(SEM) approach, using the AMOS 5.0. Overall, the results provided support for the model as explaining acceptance of an e-learning system. Most path coefficients in the research model were found statistically significant. The results showed usefulness and enjoyment and subject norm were the factors affecting attitude of students using e-learning. In addition, usefulness and subject norm were the factors affecting intention of students using e-learning. The results show innovation and self-efficacy have a significant impact on user's perception of ease of use. Self-efficacy also have significant effects on user's perception of usefulness.

• 산업융합연구
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• 제20권2호
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• pp.21-27
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• 2022

본 연구목적은 일반고 학생들의 자기주도 학습, 온라인 수업 환경, 그리고 학습만족도 간의 구조관계를 탐색하는 것이다. 연구 대상은 세종 B고교 3학년의 219명이며, 상관관계와 구조방정식 모형을 분석했다. 연구결과는 다음과 같다, 첫째, 자기주도 학습과 온라인 수업 환경 및 학습만족도 간에는 중간 이상의 상관관계를 있었다. 둘째로, 측정변인들 간의 구조모형의 적합도 지수도 양호했다. 자기주도 학습은 온라인 수업 환경에 영향을 주고, 온라인 수업환경은 학습만족도에 정적으로 영향을 주지만, 자기주도 학습은 학습만족도에 유의한 영향력은 없었다. 본 연구의 시사점은 학습자의 온라인 수업만족도는 학생의 자기주도 학습능력이 교사의 훌륭한 수업환경의 조성이 이루어질 때 시너지 효과를 얻음을 알 수 있다. 추후 온라인 학습만족도에 대하여 다양한 학습자의 개인, 가정 및 학교요소를 종합적으로 투입하는 분석할 것을 제안했다.

• 방송공학회논문지
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• 제27권5호
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• pp.808-811
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• 2022

강한 외부 조도 아래에서의 디스플레이는 인간의 인지 시스템에 의해, 실제보다 더 어둡게 인지된다. 해당 문제를 소프트웨어 측면에서 해결하기 위한 기존의 기법들은, 외부 조도에 대응하지 못하거나 밝기에 비해 색상이 향상되지 못하는 한계를 보인다. 따라서 본 논문은 외부 조도 값에 따라 영상의 밝기 및 색상을 향상하는 시인성 개선 알고리즘을 제안한다. 해당 알고리즘은 입력 영상과 함께 외부 조도 값을 인자로 받은 후, 딥러닝 모델을 통한 luminance 학습 및 chrominance 복원 방정식을 적용하여, 개선된 영상의 열화 현상과 입력 영상과의 대비 차이가 최소화되도록 영상을 생성한다. 이는 정성적 평가에서 열화 모델링 적용 영상 비교를 통해 해당 알고리즘이 강한 외부 조도 아래에서의 시인성 개선에 뛰어난 성능을 보임을 확인할 수 있다.

• 품질경영학회지
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• 제47권4호
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• pp.687-700
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• 2019

Purpose: The purpose of this study is to investigate the interaction effects between price determinants of artworks. We expand the methodology in art market by applying machine learning techniques to estimate the price of artworks and compare linear regression and machine learning in terms of prediction accuracy. Methods: Moderated regression analysis was performed to verify the interaction effects of artistic characteristics on price. The moderating effects were studied by confirming the significance level of the interaction terms of the derived regression equation. In order to derive price estimation model, we use multiple linear regression analysis, which is a parametric statistical technique, and k-nearest neighbor (kNN) regression, which is a nonparametric statistical technique in machine learning methods. Results: Mostly, the influences of the price determinants of art are different according to the auction types and the artist 's reputation. However, the auction type did not control the influence of the genre of the work on the price. As a result of the analysis, the kNN regression was superior to the linear regression analysis based on the prediction accuracy. Conclusion: It provides a theoretical basis for the complexity that exists between pricing determinant factors of artworks. In addition, the nonparametric models and machine learning techniques as well as existing parameter models are implemented to estimate the artworks' price.

• 아동학회지
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• 제36권6호
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• pp.1-21
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• 2015

This study was aimed at examining the paths through which family socioeconomic status as indicated by family income and parental education influenced preschool-aged children's socioemotional and cognitive development through the mediating role of parental warmth and the home learning environment. The study made use of data from 1,080 families who participated in the 5th wave of the Panel Study on Korean Children, when their children were approximately 4 years of age. Structural equation modeling analysis revealed that the models, including both parental warmth and the home learning environment did not fit the data well. The effects of warmth on social competence and cognitive development were not statistically significant. The modified models, using the home learning environment as a mediator between family SES and child's developmental outcomes showed that higher level of family income and parental education predicted a more cognitively stimulating home environment, which in turn, predicted a child's greater levels of social competence and positive cognitive development. The social competence of preschool-aged children again significantly predicted their cognitive development. The mediating effects of the home learning environment were statistically supported.

• 한국정보시스템학회지:정보시스템연구
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• 제15권2호
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• pp.49-75
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• 2006

The main purpose of this study is to identify the factors affecting personnel e-Learning acceptance. We used self-efficacy and perceived playfulness as independent variables to extended Technology Acceptance Model in an e-Learning contort. Perceived playfulness is the one of the important personal intrinsic motivational factors which could enlarge the understanding process of technology acceptance in the personal perspective. Questionnaires were collected from 94 respondents who experienced e-Learning systems that L Corporation provided. This study developed and empirically tested a model representing the relationship by using Structural Equation Model among factors which are: perceived usefulness, perceived ease of use, perceived playfulness, self-efficacy and attitudes. Also we measured affective and cognitive attitude because, most psychometric literature explain attitude has two different dimensions which are affective and cognitive. The major findings of the study are summarized as follows. Firstly, the higher the perceived usefulness the more affected the behavioral intention was to use as well as attitude to be positive. Secondly, as much as perceived playfulness more affected the perceived ease of use as well as self-efficacy. Finally, the perceived ease of use and self-efficacy are not significantly affected attitude while they are affected perceived usefulness and perceived playfulness.

• The Journal of Asian Finance, Economics and Business
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• 제7권10호
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• pp.481-489
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• 2020

The study examines the role of facilitating conditions and user habits in the use of technology in Online Learning Platform (OLP) in Indonesia. The adoption of online learning, persistence, and learning results in online platforms is essential for ensuring that education technology is implemented and gets as much value as possible. People who use technology and systems will embrace new technologies even more. This quantitative study is based on a survey of 254 respondents, who were active users of the technology, and considers the facilitating conditions and user habits variables. Two research hypotheses were tested using the Partial Least Square-Structural Equation Modeling method. Cronbach's Alpha, path coefficient, AVE, R-square, T-test were applied. The results showed that the factors significantly influence the Online Learning Platform technology behavioral intention. This impact is primarily associated with the availability of the resources required to use OLP technology. The availability of these resources includes supporting infrastructures such as widespread Internet access, easy access to mobile devices, and file sizes that affect access speed. The findings of this study suggest that it is necessary to introduce and increase the availability of resources for using OLP technology, and familiarize people with the technology features.

• The Journal of Asian Finance, Economics and Business
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• 제7권10호
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• pp.651-661
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• 2020

This research aims to examine the relationships among entrepreneurial orientation, organizational learning capability, firm innovation, and firm performance. To achieve a data collection, a mail survey procedure via questionnaire was implemented by using executives or managers of gems & jewelry industries, textile and clothing industries, leather and accessories, fashion apparel industries in Thailand as the key informants. Of the surveys completed and returned, 388 were usable. Hence, a model with a structural equation was used to evaluate the data survey of 388 respondents. The results reveal that, in terms of the mediating effect, organizational learning capacity and firm innovation can complement each other in order to improve entrepreneurial orientation. Findings show that entrepreneurial orientation improves firm innovation, which in turn improves firm efficiency. Firm innovation acts as a variable mediating between enterprise orientation and firm performance. Our findings contribute to the current emergence of organizational learning capacity that mediated the relationship between entrepreneurial orientation and firm performance. Entrepreneurial orientation is normally a firm performance that enterprises develop which can have use the information available and make an impact. It can be considered through the mediation of organizational learning capability, and firm innovation variable and as stated in previous literature, it can influence firm performance.

• The Journal of Asian Finance, Economics and Business
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• 제8권5호
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• pp.1129-1138
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• 2021

SMEs are constantly demanded of changes in the rapidly-evolving business environment, which involves the fourth industrial revolution and the COVID-19 pandemic. In this period, management consulting service becomes more in demand to provide technical and strategic solutions for management problems. This study aimed to empirically analyze the direct effects of emotional intelligence on job satisfaction and the indirect effects of such parameters as learning agility and self-efficacy on job satisfaction in management consultants. On the basis of a literature review, inter-variable association was designed in the research model. Based on an online survey of those in the Korean SME management consultants, this study collected 221 questionnaires then used structural equation modeling for statistical analysis. The results reveal that emotional intelligence significantly affected job satisfaction and, also significantly positively affected learning agility and self-efficacy. In addition, a significant indirect correlation could be found between learning agility and self-efficacy. Meanwhile, if learning agility and self-efficacy mediated job satisfaction, emotional intelligence had no significant effect on job satisfaction and fully mediated learning agility and self-efficacy. It is necessary to develop an emotional intelligence education program that can help management consultants improve their emotional intelligence with the objective of giving successful management consulting services.