• Journal of the Korean Chemical Society
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• v.65 no.1
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• pp.25-36
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• 2021

This study aimed to analyze achievement characteristics of Korean students in the results of PISA 2018 science domain. To this end, the characteristics of PISA 2009 to PISA 2018 science were analyzed in terms of the percentage of each performance level and the ratio of male and female by achievement level; in addition, the percentage of correct answers by framework subscale was compared with PISA 2015. The results showed that Korea has a higher percentage of students at the lower level of achievement as compared to the high-ranking countries of PISA, and the ratio of students at the higher level of achievement was lower. On average, the difference in achievement between boys and girls was negligible; however, but at the higher achievement level, the ratio of boys continued to be higher than that of girls. In addition, in the PISA science framework, the percentage of correct answers of the questions corresponding to 'personal' of 'contexts', 'evaluate and design scientific enquiry' of 'competencies', 'epistemic' of 'knowledge', and 'high' of 'cognitive demand' increased; similarly, and achievement improved as compared to PISA 2015. Based on these results of the study, we propose a method for improving teaching and evaluation to foster Korean students' scientific competence.

• Journal of The Korean Association For Science Education
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• v.28 no.6
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• pp.565-578
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• 2008

The purpose of this study is to search for the factors that influence students' understanding of the nature of science through the experience of the cognitive processes of authentic open inquiries. The freshmen of a science high school practiced authentic open inquiries reflecting epistemological characteristics of authentic science. The case study was conducted with four focus students who were successful or unsuccessful at learning the nature of science during the authentic open inquiry activity. Questions that the focus students asked during the inquiries as well as students' answers to pre- and post-VNOS (C type) were analysed, and then elaborated in the semi-structured interview. The findings suggest that open inquiry activities provide the inquiry contexts that help science high school students to understand the nature of science, and that the characteristics of students' cognition influence the understanding of the nature of science. For instance, designing experiments with their own research questions had an influence on the students' understanding about the scientific methods and the diversity of research types, and drawing conclusions from their own data made students experience scientific reasoning. In addition, the experience of collecting anomalous data helped students to understand the role of inferences in generating scientific knowledge and the creative nature of scientific knowledge. In this inquiry context, the reflective thinking that came from proactive discussion among students, made students think about the validity of the designing experiments and interpreting data, and helped them to understand the uncertain nature of reasoning and the diverse nature of scientific methods. Moreover, divergent thinking linked to analogical thinking helped students to understand the creative nature of science.

• Journal of Distribution Research
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• v.16 no.5
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• pp.211-231
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• 2011

RYUTSUKEIRETSUKA(Vertical Marketing System) developed by the Japanese Leading Manufacturers began to turn weak with the presence of the large- scaled retail enterprises since 1980’s. Therefore the alliances between major manufacturers & large distributors that were in the conflict relations for a long time began to progress. In accordance with this change in the distribution channel practice, the stance of the distribution channel theory in Japan had also changed. As the normative researcher group who had been critical to RYUTSUKEIRETSUKA and sympathetic to the task of merchant judged that it would disappear sooner or later, they considered positively the alliances between major manufacturers & large distributors which the latter were in dominant position. On the other hand, even the empirical researchers who supported the affirmative function of RYUTSUKEIRETSUKA changed their standpoint. They recognized the new channel practice, in other words the vertical alliances between the power companies, would be the frontier of research in accordance with the impetus of positivism in terms of the Marketing methodology. Thus, researchers of distribution channel theory in Japan who supported the normative approach become few and even changed to hurry to absorb in the empirical research, while moving the main focus of the research from RYUTSUKEIRETSUKA to the Alliances. In the long run, the distribution channel theory which was regarded as the leading principle of the Japanese Marketing has just made the methodological paradigm shift. The author suggests a critical viewpoint against the current Japan’s academism with the assumption that RYUTSUKEIRETSUKA has negative aspects.

• Journal of KIISE:Software and Applications
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• v.34 no.5
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• pp.407-418
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• 2007

Service science is a new application area that implements services in an interdisciplinary area of management, economics, and engineering. Service systems provide functionalities of traditional software systems, moreover the functionalities are more intellectual in that they require dynamic context awareness, analysis, and decision making based on the recognized and analyzed contexts. However, conventional software development approaches do not sufficiently provide methods to model the service requirements and to design service-intensive systems. Therefore, there is a great demand on effective methodologies for developing service systems. In this paper, we compare traditional software systems with service-intensive systems in order to identify characteristics of the service systems. And, we propose a step-wise process to model service systems, in terms of architecture, components, and workflows. Then, we show a case study on an emergency handling system which is a type of living assistant systems. We believe that the proposed approach can be used in developing high-quality service systems effectively.

• Journal of Korea Technology Innovation Society
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• v.14 no.4
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• pp.889-914
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• 2011

This paper is to review assessment indicator on priorities for budget allocation of the national R&D program. In priority setting of programs for the budget allocation process of the national R&D program using the Analytical Hierarchy Process (AHP), the survey result on the major influencing factors is as follows: the significance of components of evaluation for the priority of the national R&D programs in budget allocation was as following order: "accomplishment and ripple effect of the project," "basis and driving force for the promotion of project," "feasibility of project goals," and the "possibility of overlapping and linkage among projects". The importance of the final evaluation indicator was as following order: "clarity and possibility for accomplishment of business objectives," "ripple effects in terms of science and technology", "ripple effects in terms of the economy and overall society" and "appropriate correspondence with mid- to long-term plans" (the importance for these four indicators was over 10%) while the importance of "overlapping" and "appropriateness of budget size" indicators which fell below 5% were considered to be relatively less important. there is a need for a clear criteria and conceptions of evaluation indicators for budget allocation of national R&D programs.

• Convergence Security Journal
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• v.24 no.2
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• pp.201-207
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• 2024

Voice is a critical element of human communication, and the development of speech recognition models is one of the significant achievements in artificial intelligence, which has recently been applied in various aspects of human life. The application of speech recognition models in the military field is also inevitable. However, before artificial intelligence models can be applied in the military, it is necessary to research their vulnerabilities. In this study, we evaluates the military applicability of the multilingual speech recognition model "Whisper" by examining its vulnerabilities to battlefield noise, white noise, and adversarial attacks. In experiments involving battlefield noise, Whisper showed significant performance degradation with an average Character Error Rate (CER) of 72.4%, indicating difficulties in military applications. In experiments with white noise, Whisper was robust to low-intensity noise but showed performance degradation under high-intensity noise. Adversarial attack experiments revealed vulnerabilities at specific epsilon values. Therefore, the Whisper model requires improvements through fine-tuning, adversarial training, and other methods.

• Journal of Science and Technology Studies
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• v.13 no.2
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• pp.173-206
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• 2013

Launched by Samsung in 2003, nano-silver washing machines were a representative application of nanotechnology in commercial products until the US Environment Protection Agency (EPA) decided to regulate companies that produce nano-silver products in 2006. A year later, however, the EPA reclassified the washing machines not as an application of nanotechnology but as an ion-generating machine. As shown by the EPA's equivocation on this issue, establishing a category for nano-silver material should be considered in the procedure of risk assessment and regulation. This paper analyzes the controversy over Samsung's nano-silver washing machines more in detail to study how the demarcation between silver ion and nano-silver can vary according to the risk perception of nanotechnology. In Korea and the US, the boundary between silver ion and nano-silver was malleable and mobilzed depending on the contexts. Based on an analysis of the recent history of nano-silver washing machines, this paper explores the influence of risk perception over the ontological perspectives on a certain material.

• Journal of KIISE:Software and Applications
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• v.35 no.3
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• pp.189-196
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• 2008

To build autonomous agents who can make a decision on behalf of humans in time-critical complex environments, the formulation of operational knowledge base could be essential. This paper proposes the methodology of how to formulate the knowledge base and evaluates it in a practical application domain. We analyze threat data received from the multiple sensors of Aircraft Survivability Equipment(ASE) for Korean helicopters, and integrate the threat data into the inductive model through compilation technique which extracts features of the threat data and relations among them. The compiled protocols of state-action rules can be implemented as the brain of the ASE. They can reduce the amounts of reasoning, and endow the autonomous agents with reactivity and flexibility. We report experimental results that demonstrate the distinctive and predictive patterns of threats in simulated battlefield settings, and show the potential of compilation methods for the successful detection of threat systems.

• The Journal of the Convergence on Culture Technology
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• v.10 no.2
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• pp.257-266
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• 2024

This study analyzed the characteristics of each type of subjective perception of cabin crew by applying Q-methodology to understand the competencies required of airline cabin crew. As a result of analyzing 33 Q-samples and 33 P-samples using the Ken-Q Analysis program, four types were identified: "Physical strength and appearance quality-oriented", "job performance-oriented", "communication ability-oriented", and "job consciousness-oriented". Most types showed high agreement on physical factors, ability to cope with emergency situations and work responsibility. The results can be used as basic data to develop effective curriculum for airline training course and airline service majors, and it can be a reference material to help job seekers understand the job and cultivate necessary competencies.

• Journal of Korea Society of Industrial Information Systems
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• v.16 no.3
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• pp.11-21
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• 2011

The development of computer-based modeling system has allowed the operationalization of cognitive science issues. Human cognition has become one of most interesting research subjects in artificial intelligence to emulate human mentality and behavior. This paper introduces a methodology well-suited for designing the intelligent system of human cognition. The research investigates how to elicit and represent cognitive knowledge obtained from individual city-dwellers through the application of fuzzy relational theory to personal construct theory. Crucial to this research is to implement formally and process interpretatively the psychological cognition of urbanites who interact with their environment in order to offer useful advice on urban problem. What is needed is a techniques to analyze cognitive structures which are embodiments of this perceptive knowledge for human being.