• Journal of Digital Convergence
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• v.15 no.11
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• pp.107-112
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• 2017

This paper performed an experimental study to test the validity of the prospect theory proposed by Tversky and Kahneman as an alternative to the expected utility theory. 115 college students attended the hypothetical games to choose one of two lotteries, one is safe option while the other one is risky. The risky options were set up to have low, medium or high probability of payoffs or losses. The amount of payoffs and losses of the lotteries was either large or small. Maximum likelihood estimation of the hypothetical games have shown that in case of high probability of positive payoffs the respondents were risk averse and when the probability of positive payoffs were small the respondents were risk loving. when the possibility of loss is high they were risk loving, while the probability is of loss is low the respondents were found to be risk averse. When the probability of risky options were medium the results were significant statistically in case of only losses. The amount of positive payoff or losses does not affect the results. Overall the results of this experiments support the prospect theory more than those of Laury & Holts (2008).

• Journal of Elementary Mathematics Education in Korea
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• v.19 no.1
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• pp.39-56
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• 2015

The aim of the study presented in this paper was to explore South Korean elementary teachers' knowledge regarding educational theory in mathematics. An independent t-test and ANOVA are applied to examine elementary teachers' knowledge regarding educational theory in mathematics. Findings of this study suggest that there is a negative correlation between the teachers' knowledge regarding educational theory in mathematics and their teaching experiences as well as the teacher certification level. However, there is a little affect of the teachers' gender and educational backgrounds on the teachers' knowledge regarding educational theory in mathematics. The results of this quantitative study may broaden our understanding of the South Korean elementary teachers' knowledge for teaching mathematics, which have a deep impact on their teaching practice.

• Journal of Digital Convergence
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• v.19 no.5
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• pp.215-227
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• 2021

This study empirically studied the factors affecting the intensity of use of mobile social media and fatigue. Theories for the research framework were based on the theory of planned behavior, the theory of private information protection, the theory of flow, and the theory of process incentives. As a result of data analysis, it was found that self-efficacy, user habits, and flow experience positively influence the intensity of mobile social media use. This study assumed that personal information protection issues negatively affect the intensity of mobile social media use, but have little influence on the use intensity. The intensity of media use had a positive effect on media fatigue. In other words, when the intensity of using mobile social media increased, the feeling of fatigue increased. The expected process incentives variable did not show a moderating effect between media use intensity and social media fatigue. The findings will have implications for social media-related companies and organizations that want to use social media tools for business and public services.

• Korean Journal of Culture and Social Issue
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• v.14 no.1_spc
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• pp.111-134
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• 2008

In this article, a fairly extensive literature review was conducted to depict the current status of academic motivation and its developmental trend among Korean adolescents. The focal factors were perceived competence and autonomy which have been considered as major determinants of academic motivation. Theoretical frameworks adopted were self-efficacy theory, expectancy-value theory, and self-determination theory. Empirical studies conducted in Korean educational settings during the past decade were the target of the literature review. Results of the literature analysis revealed that, in general, there was a decreasing tendency in perceived competence from elementary to middle school which followed by a slight increase after entering high school. Similar trend revealed in the development of autonomous motivation, in that middle and high school students' intrinsic motivation levels were lower than that of the elementary groups. The amotivational tendency was increased as the grade level proceeded toward high school, which requires attention from educators. Discussion was followed in an attempt to provide plausible interpretations for this undesirable current status of Korean adolescents' academic motivation and to suggest implications for possible remedial actions both in pedagogical perspectives and students' well-being.

• Journal of Practical Engineering Education
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• v.15 no.3
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• pp.571-580
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• 2023

With the advent of the Fourth Industrial Revolution, there is an increasing demand for interdisciplinary studies in the realm of university education. Accordingly, this study sought to explore learners' perceived expectation factors for a modular curriculum, one of the primary strategies for curriculum revision in interdisciplinary departments, by applying the Expectation Theory. Learners' perceptions were measured pre and post during the second semester of 2022. The results confirmed that among the expectation factors, the selection factor significantly decreased after the course compared to before. Changes in the understanding and perceived difficulty level of tool utilization within the course may have influenced these results. The significance of this study lies in providing direction for curriculum revisions in interdisciplinary departments by analyzing learners' perceptions of the modular curriculum. Specifically, curriculum design should focus on reducing difficulties and cognitive burdens associated with educational tool utilization. Furthermore, considering that students' prior experience and understanding of educational tools can impact educational outcomes, it is crucial to factor these elements when designing a modular curriculum.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.8
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• pp.181-189
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• 2017

This study examines whether the variables used in the Unified Theory of Acceptance and Use of Technology(performance expectancy, effort expectancy, social influence, and facilitating conditions) is applicable to continuous usage of uTradeHub at a time of expansion in the use of uTradeHub. In addition, the role of user satisfaction(mediating effect) and CEO support(interaction effect) in the relationship is identified attempting to provide basic data to help uTradeHub management strategy establishment. A total of 101 valid responses collected through questionnaires were used for empirical analysis(using SPSS 24.0), and the results are as follows. First, for the effect of the integration technology acceptance factor on user satisfaction(H1), only performance expectancy, effort expectancy, and social influence were significant, but facilitating conditions was not significant. Second, for the effect of user satisfaction on the continued use of uTradeHub(H2), there was a significant result. Third, the mediation effect on verification of user satisfaction(H3) was full where performance expectancy, effort expectancy, and social influence prompted continuous usage through user satisfaction. Fourth, for interactive effect verification of CEO support(H4), an interaction effect was shown only in the influence relationship of performance expectancy and social influence on user satisfaction.

• Information Systems Review
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• v.19 no.3
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• pp.1-21
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• 2017

The Internet of Things (IoT) analysis aims to verify the technical characteristics, performance expectations, and adoption intentions of IoT. This work refers to IoT data from foreign and domestic publications and websites as well as aims to benefit related organizations by referring to reports from agencies. The literature review summarizes the relevant theories and background of the unified theory of acceptance and use of technology. The SPSS 22.0 software and structural equation models (smart PLS 2.0) are used in the data analysis. Technical statistics analysis, reliability analysis, validity analysis, structural equation models, and statistical methods are employed to test the research hypotheses, that is, the technical characteristics of IoT will have positive effects on its performance expectations. This study introduces the characteristics and expected performance of IoT to present relevant IoT guidelines for companies that aim to adopt such technology.

• Journal of the Korean School Mathematics Society
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• v.6 no.1
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• pp.27-43
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• 2003

This paper introduces some theories that can be effectively applied for the development of teaching and learning mathematics using fuzzy theory developed by Zadeh who defined fuzzy set and knowledge space by Doignon and Falmagne. Especially, we expect that two theories mentioned above are expected to solve the situation that could not be taken care of the present evaluation method.

• Proceedings of the Korean DIstribution Association Conference
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• 2007.11a
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• pp.95-108
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• 2007

본 연구는 수직적 유통거래 관계에서 거래의 불공정성을 발생시키는 선행요인과 결과요인에 관한 모형을 겁증하고자 하였다. 이를 위하여 기존 연구를 바탕으로 거래의 불공정성의 개념을 도입하고, 실증적으로 검증하여 향후 거래의 불공정성 연구에 응용될 수 있는 기반을 마련하고자 하였다. 또한 시장지배력이론과 거래비용이론을 적용시킴으로서 거래의 불공정성에 대한 보다 폭넓은 이해를 위해 노력하였다. 이러한 연구목적 달성을 위하여 문헌연구를 통해 가설을 도출하였으며, 국내 소비재 제조기업 표본 258를 대상으로 실증분석을 하였다. 제조업체의 브랜드 자산이 높을수록, 거래의 불공정성은 감소하는 것으로 나타났으며, 제조업체와 유통업체간의 상대적 의존성이 높을수록 거래의 불공정성은 증가할 것이라고 결과가 도출되었고, 마케팅협력정도가 높을수록 거래의 불공정성은 감소할 것이라고 나타났다. 거래의 불공정성이 증가할수록 관계지속기대감은 감소할 것이며, 거래의 불공정성이 증가할수록 신뢰는 감소할 것이라는 결과가 도출되었다. 연구결과를 기반으로 본 연구는 이론적 시사점, 실무적 시사점, 연구의 한계점 그리고 미래 연구방향에 대하여 논의하였다.

• Water for future
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• v.29 no.4
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• pp.109-118
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• 1996

The neural network is a mathematical model of theorized brain activity which attempts to exploit the parallel local processing and distributed storage properties. The neural metwork is a good model to be applied for the classification problem, large combinatorial optimization and nonlinear mapping. A multi-layer neural network is constructed to predict rainfall. The network learns continuourvalued input and output data. Application of neural network to 1-hour real data in Seoul metropolitan area and the Soyang River basin shows slightly good predictions. Therefore, when good data is available, the neural network is expected to predict the complicated rainfall successfully.