The purpose of this study is to investigate and analyze the understandings of elementary pre-service teachers about 'estimation' in the elementary mathematics. Together with this analysis, we identify elementary pre-service teacher's Mathematical Pedagogical Contents Knowledge(MPCK), especially focusing to Subject Matter Knowledge(SMK). In order to this goals, we investigate contents relating to 'estimation' from $1^{st}$ curriculum to 2009 revised curriculum and compare 'rounding up', 'rounding off', 'rounding' in the elementary mathematics textbooks. As results of investigations, 'estimation' has been teaching at the 'Measurement' domain from $3^{rd}$ curriculum, but contexts of measuring weaken from $7^{th}$ curriculum. 'Rounding up(off)' is defined three types in the textbooks from $1^{st}$ to 2009 revised curriculum. And we examine elementary pre-service teachers through the questions on these 'estimation' contents. On the analysis of pre-service teacher's understanding relating MPCK, four themes is summarized as followings; the understanding of '0' in the 'rounding up', the cognitive gap between 'rounding up' and 'rounding off', the difference of percentage of correct answers according to types of question in the 'rounding up', and the difference between the definition of 'rounding up' and the definition of 'rounding'.
The fuel consumption of marine diesel engines holds paramount importance in contemporary maritime transportation and shapes energy efficiency strategies of ocean-going vessels. Nonetheless, a noticeable gap in knowledge prevails concerning the influence of ship hull conditions and propeller roughness on fuel consumption. This study bridges this gap by utilizing artificial intelligence techniques in Matlab, particularly convolutional neural networks (CNNs) to comprehensively investigate these factors. We propose a time-series prediction model that was built on numerical simulations and aimed at forecasting ship hull and propeller conditions. The model's accuracy was validated through a meticulous comparison of predictions with actual ship-hull and propeller conditions. Furthermore, we executed a comparative analysis juxtaposing predictive outcomes with navigational environmental factors encompassing wind speed, wave height, and ship loading conditions by the fuzzy clustering method. This research's significance lies in its pivotal role as a foundation for fostering a more intricate understanding of energy consumption within the realm of maritime transport.
What is the role of welfare discourse? Michel Foucault suggests the power and knowledge relation that power in a particular society and period controls the society and members by creating knowledge affecting the formation of cognitive and normative systems. Having the formation of exclusions(constraint of cognition), and materiality and reality(normative system) as an analytical framework, this article attempts the exploration of welfare discourse analyses with public statements relating to welfare subjects of the four former Korean presidents. As a result, It is found that dominant epistemic system is formed by balancing welfare and growth and regarding jobs as the best welfare(the linkage of welfare-growth-employment), emphasizing individual economic responsibility and self-reliance, pursuing welfare selectivism, and excluding comprehensive welfare provisions. At the same time, it is observed that power is not always formulating systematic knowledge and that there is a gap between cognition and norm. While the Foucauldian discourse analysis provides a causal inference about low social welfare expenditure, excessive focus on the role of power as knowledge generator and infuser causes a question of how to accommodate contemporary changes into knowledge system.
Van Nguyen, Huy;Tran, Hieu Trung;Khuong, Long Quynh;Van Nguyen, Thanh;Ho, Na Thi Nhi;Dao, An Thi Minh;Van Hoang, Minh
Journal of Preventive Medicine and Public Health
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v.53
no.4
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pp.236-244
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2020
Objectives: Although the World Health Organization (WHO) initiative "My 5 Moments for Hand Hygiene" has been lauded as effective in preventing hospital-associated infections, little is known about healthcare workers (HCWs)' hand hygiene behavior. In this study, we sought to assess knowledge and attitudes towards the concepts in this initiative, as well as associated factors, among Vietnamese HCWs at a general hospital. Methods: A structured questionnaire was administered to HCWs at a central Vietnamese general hospital in 2015. Multiple logistic regression analysis was used to identify factors associated with HCWs' knowledge and attitudes towards hand hygiene. Results: Of 120 respondents, 65.8% and 67.5% demonstrated appropriate knowledge and a positive attitude, respectively, regarding all 5 hand hygiene moments. Logistic regression indicated better knowledge of hand hygiene in workers who were over 30 years old, who were direct HCWs (rather than managers), who had frequent access to clinical information, and who received their clinical information from training. Those who worked in infectious and tropical disease wards, who had frequent access to clinical information, and who received information from training were more likely to have a positive attitude towards hand hygiene than their counterparts. Conclusions: Although many Vietnamese HCWs displayed moderate knowledge and positive attitudes towards the WHO hand hygiene guidelines, a key gap remained. Regular education and training programs are needed to increase knowledge and to improve attitudes and practices towards hand hygiene. Furthermore, a combination of multimodal strategies and locally-adapted interventions is needed for sustainable hand hygiene adherence.
The objective of this research is to develop education and training systems for IS department and user department personnel, which is essential to effective implementation IT(information technology) strategies in most of organizations. In order to achieve this research objective, first this study theoretically derives six categories of education and training based on comprehensive review of the previous research, and explicates concrete items for each category. And then, with respect to each of these items, we empirically investigate the degree of necessity measured by the gap between the required level of knowledge and skills which staff members should have for effective implementation of IT strategies and the present level of them which they really have. Field survey is employed for the data collection: 270 questionnaires are distributed to the companies in private and public sectors, and 196 questionnaires are collected in useful condition and are analyzed. The findings of this research shows that six dimensions of education and training are empirically derived by factor analysis as following: (1) general knowledge for organizational overview, (2) management knowledge and skills, (3) knowledge and skills of the specific information system which IS department and user department personnel are directly involved in developing and operating, (4) knowledge and skills for strategic use of IT, (5) general knowledge and skills for IT and (6) advanced expert knowledge and skills for specific IT. And the degree of necessity turns out to be statistically significantly different among six dimensions of education and training needed by IS department and user department personnel respectively. Also for each dimension, the degree of necessity is shown to be statistically significantly different between IS department and user department personnel The results of this study can provide the theoretical basis for constructing the IT education and training system for effective implementation of IT strategies, Also they can be used as a practical guideline in developing and promoting specific IT education and training programs in real organizations.
Fuzzy Cognitive Map (FCM) and Bayesian Belief Network (BBN) are two major frameworks for modeling, representing and reasoning about causal knowledge. Despite their extensive use in causal knowledge engineering, there is no reported work which compares their respective roles. This paper aims to fill the gap by providing a qualitative comparison of the two frameworks through a systematic analysis based on some inherent features of the frameworks. We proposed a set of comparison criteria which covers the entire process of causal knowledge engineering, including modeling, representation, and reasoning. These criteria are usability, expressiveness, reasoning capability, formality, and soundness. The results of comparison have revealed some important facts about the characteristics of FCM and BBN, which will help to determine how FCM and BBN should be used, with respect to each other, in causal knowledge engineering.
The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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v.16
no.4
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pp.212-222
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2011
Estuaries have been used competitively and exploited for the past decades in Korea. To preserve the environment of the estuaries from the integrated perspective, new policies have started to change such exploitative development in 2000s. Due to the poor knowledge-base, however, there has been a lack of support system which enables to execute such policies effectively. The present study was conducted to figure out the limits of the estuarine management research projects in Korea, which is being performed to overcome these limitations. It was studied through Gap Analysis between domestic and foreign advanced practices as well as Analytical Hierarchy Process on expert survey in terms of the three aspects: how well the estuarine management research projects in Korea meets the demands of policy making and administration; raises the awareness of citizens about the merit of environmental preservation; and establishes knowledge-based support system. This project turned out to reflect adequately the development of programs for building estuarine management systems. But consideration of other ministries was relatively scarce. But the contents which directly support community-based activities and educational programs to improve citizens' awareness were judged to be insufficient. According to the results of Gap Analysis, research about the structure and function of estuarine ecosystems, which can support to develop policy alternatives in detail, was relatively more necessary. Therefore, to support estuarine policy management effectively, the development of a realistic plan, which can overcome fundamental issues inherent in the Korean environmental management system and the limitation of the estuarine management research projects in Korea itself, is needed.
The purpose of this study is to analyze the differences in the perception and education requirements between industry and engineering students on engineering convergence competency, and to suggest implications for fostering engineers suitable to industry demand and direction of focus improvement in the current engineering education field. To this end, 73 industrial representatives and 104 engineering students are surveyed the engineering convergence competency and educational needs. The results of this analysis are as follows: first, the difference in engineering convergence competency by background variable was significantly different in gender of engineering students. Second, it is found that there is a significant difference between the current level and the required level of engineering convergence competency from an industry perspective. In the IPA results, it shows that new knowledge generation and future-oriented vision skills are urgently needed to be improved. And it is showed that the creative thinking, knowledge utilization, communication, and cooperation capabilities skills need to be maintained continuously. Third, as a result of the analysis of the differences in recognition of the current competency levels between industry and engineering students, there is statistically significant differences in systemic thinking, communication and cooperation, understanding of other academic fields, humanities, and future-oriented perspectives. Therefore, it is necessary to specific plans and efforts to reduce this perception gap should be prepared at the university.
KSII Transactions on Internet and Information Systems (TIIS)
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v.8
no.12
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pp.4467-4488
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2014
The bibliometric analysis is widely used for understanding research domains, trends, and knowledge structures in a particular field. The analysis has majorly been used in the field of information science, and it is currently applied to other academic fields. This paper describes the analysis of academic literatures for classifying research domains and for suggesting empty research areas in the telecommunications policy. The application software is developed for retrieving Thomson Reuters' Web of Knowledge (WoK) data via web services. It also used for conducting text mining analysis from contents and citations of publications. We used three text mining techniques: the Keyword Extraction Algorithm (KEA) analysis, the co-occurrence analysis, and the citation analysis. Also, R software is used for visualizing the term frequencies and the co-occurrence network among publications. We found that policies related to social communication services, the distribution of telecommunications infrastructures, and more practical and data-driven analysis researches are conducted in a recent decade. The citation analysis results presented that the publications are generally received citations, but most of them did not receive high citations in the telecommunications policy. However, although recent publications did not receive high citations, the productivity of papers in terms of citations was increased in recent ten years compared to the researches before 2004. Also, the distribution methods of infrastructures, and the inequity and gap appeared as topics in important references. We proposed the necessity of new research domains since the analysis results implies that the decrease of political approaches for technical problems is an issue in past researches. Also, insufficient researches on policies for new technologies exist in the field of telecommunications. This research is significant in regard to the first bibliometric analysis with abstracts and citation data in telecommunications as well as the development of software which has functions of web services and text mining techniques. Further research will be conducted with Big Data techniques and more text mining techniques.
We investigated perceptual similarity and the difference between client and vendor in information technology (IT) outsourcing projects. Specifically, we focused on each player's perception of how the fit of governance and peripheral knowledge affects the performance of IT project outsourcing. For 107 IT projects, we surveyed both client and vendor in the same IT projects and compared the responses of each side. Through a dyadic analysis, we first found that both client and vendor put more weight on the vendor's peripheral knowledge than that of the client as a positive influencer of project performance. However, regarding the governance style of an IT project, client and vendor showed completely different perspectives. The client believed that the vendor's peripheral knowledge positively contributes to the performance of IT project under the governance of outcome control. However, the vendor showed that its peripheral knowledge creates synergy effects under the governance of process control. Our interpretation of the perceptual similarity and difference between client and vendor delivers managerial implications for businesses that process IT projects.
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