Journal of the Korean Institute of Landscape Architecture
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v.38
no.2
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pp.25-36
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2010
The generally known important functions of forests include air purification and the health benefits that humans can receive when relaxing and enjoying recreation in the forests. In recent years, people have appreciated the value of the natural environment but it is not easy to answer the question how much monetary value a natural environment has. Because environmental property is public property, which is not traded on the market, market prices cannot be established, so it is not easy to assess the currency value. Methods for estimating environmental property value have been studied by economists. The representative method for measuring environmental property value is a contingent valuation method, or CVM. Various methods have been researched and attempted along with the development and fusion of mathematics, statistics, and economics. Representative methods of CVM are single-bound and double-bound logit and probit methods. This study has been carried out to compare four estimates. Estimates are as follows: the lowest estimate is derived from a single-bound logit WTPmedian while the highest estimate is from double-bound probit WTPmean. While there are some preceding studies on price estimation and methods of measurement through CVM, they offer only partial comparisons. This study suggests four analytic methods and prices through 1,123 questionnaires. The results can be used for the subsequent comparison of estimate prices and the methods of measurement
This study compared and analyzed body composition, physical fitness, and physical self-concept between gifted students in mathematics and science attending Korea Science Academy (KSA) and non-gifted students attending traditional high schools. The KSA students were 117 males who entered the school in 2009. As a control group, a total of 117 non-gifted students were randomly selected from 5 cities. The results of covariate analysis taken 2 year interval, pretest (2009) and posttest (2010), indicated that gifted students were significantly taller (p<.05) than non-gifted students, and were lower in BMI (p<.05) and PBF (p<.001). There was no significant difference in physical fitness between gifted and non-gifted students. But non-gifted students have a significantly higher self-concept in physical appearance (p<.05) and physical strength (p<.05). The internal/external frame of reference model and the Big Fish Little Pond Effect (BFLPE) theory were supported. Especially, gifted students were significantly higher (p<.01) in endurance self-concept than non-gifted students. We have discussion this result as the future research subject whether it come from the characteristics of the gifted's tenacity at high level tasks.
Journal of the Korea Academia-Industrial cooperation Society
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v.21
no.7
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pp.29-37
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2020
In the past, meta-heuristic optimization algorithms were developed to solve the problems caused by complex nonlinearities occurring in natural phenomena, and various studies have been conducted to examine the applicability of the developed algorithms. The self-adaptive vision correction algorithm (SAVCA) showed excellent performance in mathematics problems, but it did not apply to complex engineering problems. Therefore, it is necessary to review the application process of the SAVCA. The SAVCA, which was recently developed and showed excellent performance, was applied to the advanced Muskingum flood routing model (ANLMM-L) to examine the application and application process. First, initial solutions were generated by the SAVCA, and the fitness was then calculated by ANLMM-L. The new value selected by a local and global search was put into the SAVCA. A new solution was generated, and ANLMM-L was applied again to calculate the fitness. The final calculation was conducted by comparing and improving the results of the new solution and existing solutions. The sum of squares (SSQ) was used to calculate the error between the observed and calculated runoff, and the applied results were compared with the current models. SAVCA, which showed excellent performance in the Muskingum flood routing model, is expected to show excellent performance in a range of engineering problems.
Hypertension is one of the most common chronic diseases and it causes cardiovascular and cerebrovascular disease. While antihypertensive drug use increased, it took 15% of national health insurance drug expenditure. This study aimed to examine the pattern of antihypertensive drug prescription using National Health Insurance claims database and compare it with recommendations of Korea Hypertension Treatment Guidelines. Among the antihypertensive drugs, calcium channel blocker(64.4%) was most commonly prescribed class, and diuretics(44.6%), angiotensin II receptor blocker(33.3%), angiotensin converting enzyme inhibitor(11.7%) was followed. Approximately 81% of antihypertensives prescription were without cardiovascular or cerebrovascular disease, and among the comorbid conditions, diabetes(10.7%) was most common. calcium channel blocker(62.3%) was mostly prescribed class for hypertension with angina pectoris, angiotensin receptor blocker(45.3%) with myocardial infarction, diuretics(70.2%) and calcium channel blocker(49.5%) with congestive heart failure. For Hypertension with cerebrovascular disease, calcium channel blocker(68.0%) and angiotensin receptor blocker(43.3%) were prescribed mainly. When it comes to diabetes, calcium channel blocker(57.2%) was still mostly prescribed and angiotensin receptor blocker(45.9%) followed. But in hospitals and tertiary hospitals, angiotensin receptor blocker(65.7, 66.1%) was mostly prescribed for the patients with diabetes. For Hypertension with chronic renal disease, angiotensin receptor blocker(59.5%), calcium channel blocker(56.5%), diuretics(54.6%) were mainly used. Average number of classes per prescribing was $1.89{\pm}0.89$ class, average days per prescribing was $33{\pm}19$ day. Among the hypertension without comorbidity, 40.5% of prescription was monotherapy and 58.8% of polytherapy included diuretics. Among the outpatient prescriptions, calcium channel blocker was the most commonly used class, and the prescription pattern in clinic did not closely followed recommendations of Hypertension Treatment Guidelines.
Journal of The Korean Association For Science Education
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v.40
no.4
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pp.359-374
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2020
This study is a complex type consisting of survey study and self-study. The former investigated elementary teachers' epistemological beliefs on convergence knowledge and teaching. As a representative of the result of survey study I, as a teacher as well as a researcher, was the participant of the self-study, which investigated my epistemological belief on convergence knowledge and teaching and my execution of convergent science teaching based on family resemblance of mathematics, science, and physical education. A set of open-ended written questionnaires was administered to 28 elementary teachers. Participating teachers considered convergent teaching as discipline-using or multi-disciplinary teaching. They also have epistemological beliefs in which they conceived convergence knowledge as aggregation of diverse disciplinary knowledge and students could get it through their own problem solving processes. As a teacher and researcher I have similar epistemological belief as the other teachers. During the self-study, I tried to apply convergence knowledge system based on the family resemblance analysis among math, science, and PE to my teaching. Inter-disciplinary approach to convergence teaching was not easy for me to conduct. Mathematical units, ratio and rate were linked to science concept of velocity so that it was effective to converge two disciplines. Moreover PE offered specific context where the concepts of math and science were connected convergently so that PE facilitated inter-disciplinary convergent teaching. The gaps between my epistemological belief and inter-disciplinary convergence knowledge based on family resemblance and the cases of how to bridge the gap by my experience were discussed.
The modern society as a high-level information-oriented society lays a great emphasis on lifelong education. It emphasizes all the learners' creative learning ability and various teaching-learning methods as well. We need the self-directed learning to meet these requirements, and one of the solutions is the self-directed teaching-learning process employing the web. Though many educators, so far, developed a number of teaching materials, they are no more than web-based teaching materials for simple learning activities or simple item-bank systems. So, this paper suggests an problem-solving based and self-directed learning system on web in order to overcome such simplicities, and it shows design and implementation of the system. Suggested learning system enables learners to get thinking skill though self-directed control of learning level after they learn the basic concepts and principles on the web as self-directed learning. For example, the system was applied to mathematics education for a middle school students. It supports a test of questions chosen from the item bank in a self-directed way, and helps learners to understand their learning levels for themselves and to solve their questions through on-line discussions with their instructor. The system can also be helpful in improving the learners' learning effects by sharing mutual information through the data room or the Q&A between learners and learners or between learners and instructors.
KSII Transactions on Internet and Information Systems (TIIS)
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v.11
no.1
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pp.146-170
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2017
Joint channel assignment and routing is a well-known problem in multi-radio wireless mesh networks for which optimal configurations is required to optimize the overall throughput and fairness. However, other objectives need to be considered in order to provide a high quality service to network users when it deployed with high traffic dynamic. In this paper, we propose a re-configuration optimization model that optimizes the network throughput in addition to reducing the disruption to the mesh clients' traffic due to the re-configuration process. In this multi-objective optimization model, four objective functions are proposed to be minimized namely maximum link-channel utilization, network average contention, channel re-assignment cost, and re-routing cost. The latter two objectives focus on reducing the re-configuration overhead. This is to reduce the amount of disrupted traffic due to the channel switching and path re-routing resulted from applying the new configuration. In order to adapt to traffic dynamics in the network which might be caused by many factors i.e. users' mobility, a centralized heuristic re-configuration algorithm called State-Aware Joint Routing and Channel Assignment (SA-JRCA) is proposed in this research based on our re-configuration model. The proposed algorithm re-assigns channels to radios and re-configures flows' routes with aim of achieving a tradeoff between maximizing the network throughput and minimizing the re-configuration overhead. The ns-2 simulator is used as simulation tool and various metrics are evaluated. These metrics include channel-link utilization, channel re-assignment cost, re-routing cost, throughput, and delay. Simulation results show the good performance of SA-JRCA in term of packet delivery ratio, aggregated throughput and re-configuration overhead. It also shows higher stability to the traffic variation in comparison with other compared algorithms which suffer from performance degradation when high traffic dynamics is applied.
The purpose of the study was to investigate the differences between two groups of students according to information recognition styles such as visual learners and linguistic learners. Two instructional methods, algeblocks and factorization formula, were utilized to introduce the factorization. Four students were participated for the study, and two of them were visual learners and the other two were linguistic learners based on learning style test. Interviews and the diagnostic tests were implemented before the instructions which were lasted for 6 sessions. After the instructions all the participants were interviewed and the researchers also interviewed them 5 days later. The results of the study were the followings: 1. All the participants regardless of their learning style revealed that algeblocks were helpful in understanding the factorization. 2. Visual learners were more likely using algeblocks, while the linguistic learners were more enthusiastic and proficient in using formula to solve the problems. 3. Five days later, two types of learning style students revealed different tendencies. Visual learners mainly used algeblocks, and linguistic learners were not enthusiastic about using algeblocks and one of them did not use them at all. 4. Five days later, two visual learners could not remember the formula, but linguistic learners could remember the formula in somewhat different level.
This study is on improving the general engineering education for enhancing the quality of engineers at a local engineering school in which the students are not highly qualified for engineering education. Based on the analysis on the current engineering education by asking questions to professors, students and alumni of Hongik College of Science and Engineering, we have set the basic educational philosophy as educating practical engineers and have decided the goals of basic engineering education as changing to student oriented education, enhancing the field adaptation capability, improving the problem solving ability and introducing engineering design courses. For achieving the foregoing goals, we have changed several basic engineering courses. Mathematics, science courses, computer related courses, English, communication skill related courses are strengthened, but general college education courses are reduced. We also have encouraged students to participate the classes actively and study efficiently, think logically and creatively. For the operational details, we have tried to impose less courses to freshmen and sophomores, to impose the prerequisite courses, to activate summer and winter schools. Finally, we have tried to find the ways to support continuous improvement on the basic engineering education.
Park, HyunJu;Byun, Soo-yong;Sim, Jaeho;Baek, Yoon Su;Jeong, Jin-Su
Journal of The Korean Association For Science Education
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v.36
no.4
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pp.669-679
/
2016
The purpose of this study is to investigate the current status of STEAM (Science, Technology, Engineering, Arts, and Mathematics) education in schools by asking a variety of questions including "why and how often they implement STEAM education." This study conducted an online survey on 11,526 elementary, middle, and high schools in South Korea, with the response rate being 56.8% (N = 6,473). To highlight key findings, first, our descriptive analyses suggested that if those that did not respond to the survey were assumed not to have implemented STEAM education, approximately 27.1% (N = 3,127) of all schools in South Korea were believed to have implemented STEAM at best. The highest rate of implementation of STEAM education was found in elementary schools (30.8%), followed by middle (27.4%) and high (17.5%) schools. Second, in contrast with the result for the rate of implementation of STEAM education, high schools showed the highest level of satisfaction. Third, the most important reason for implementing STEAM education within a school was found to be teachers' voluntary efforts or intrinsic motives, followed by support from the provincial office of education. Fourth, the most important reason for not implementing STEAM education was found to be the lack of consensus among teachers. Together, findings highlight the importance of the role of teachers in implementing STEAM education. Offered are policy implications for the better implementation of STEAM education.
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