• Journal of The Korean Association For Science Education
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• v.29 no.1
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• pp.1-9
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• 2009

The purposes of this study are to investigate the effects of the Science Conceptual Model Completion Activity and Science Conceptual Model Modifying Activity on middle-school students' achievement in science conceptual learning, and to analyze if there are any correlations among their achievements by purposed activities, their cognitive level and school science achievement. For the study, 112 middle school students were sampled for three groups, which are two experimental groups (Model Completion activity group, Model Modifying Activity group) and one control group. Pre- and post-tests were taken to measure the students' achievement in science concepts, and the logical thinking ability test was administered after the implementation period. In addition, their school science achievements were analyzed. The research findings are as follows: First, the Science Conceptual Model Completion activity is more effective for middle school students' science conceptual learning than the Science Conceptual Model Modifying activity or conventional activity. Second, higher school science achievement also results in higher achievement of science concepts through the Conceptual Model Modifying activity or the Conceptual Model Completion activity. Lastly, the Conceptual Model Completion activity is more effective for the concrete operational level students to attain science concepts than formal operational level ones. Meanwhile, on the contrary, the Conceptual Model Modifying activity is more effective for formal operational level students than the concrete operational level ones.

• Journal of the Korean Society for Library and Information Science
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• v.48 no.2
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• pp.137-157
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• 2014

This study analyzed the general user behaviors and the perceptions on service quality, satisfaction, loyalty of the users of the special winter vacation programs at the public libraries in Daegu Metropolitan City. Among the 444 collected questionnaires from the participants in the programs at 8 public libraries in the City, a total of 300 were analyzed for the study. As results, many participants have visited the libraries with their family members, and have applied the programs through the helps from their parents. They rated higher the service quality, the satisfaction, and the loyalty than other child users of the children's services as well as the adult participants of the cultural programs and of the public libraries. In the analysis of the structural equation model (SEM) on the service quality, customer satisfaction and loyalty, all of the service quality factors of special winter vacation programs, namely program contents and instructors, staff supports and services, and facilities and equipments, have significant effects on the user satisfaction. Staff supports and services factor of the service quality has significant direct effects on loyalty along with the overall satisfaction, but program contents and instructors factor and facilities and equipments factor have no significant direct effects on loyalty.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.38 no.4
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• pp.295-304
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• 2020

The IPCC (Intergovernmental Panel on Climate Change) recommended the importance of preventive measures against extreme weather, and heat waves are one of the main themes for establishing preventive measures. In this study, we tried to analyze the heat vulnerable areas by considering not only spatial characteristics but also social characteristics. Energy consumption, popu lation density, normalized difference vegetation index, waterfront distance, solar radiation, and road distribution were examined as variables. Then, by selecting a suitable model, SLM (Spatial Lag Model), available variables were extracted. Then, based on the Fuzzy theory, the degree of vulnerability to heat waves was analyzed for each variable, and six variables were superimposed to finally derive the heat vulnerable area. The study site was selected as the Daegu area where the effects of the heat wave were high. In the case of vulnerable areas, it was confirmed that the existing urban areas are mainly distributed in Seogu, Namgu, and Dalseogu of Daegu, which are less affected by waterside and vegetation. It was confirmed that both spatial and social characteristics should be considered in policy support for reducing heat waves in Daegu.

• Journal of Korean Tunnelling and Underground Space Association
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• v.11 no.2
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• pp.175-188
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• 2009

When a new tunnel is excavated by the drill and blast method near pre-existing underground structures or tunnels due to the region restricted condition such as urban area, the ground will be relaxed by the excavation. In this case, issues can be created in terms of stability of pre-existing underground structures. One of major factors determining the stability of pre-existing underground structures can be a separation distance between pre-existing underground structures and a newly excavated tunnel. The region of ground relaxation defined by the plastic zone due to new excavation can be varied by separation distance. In this study, in other to estimate an influence of new tunnel excavation in terms of separation distance on the stability of pre-existing large pipelines, two-dimensional scaled model tests using plaster were performed for six models which have a different separation distance, The results show that based on the analysis of induced displacement during tunnel construction, the displacement decreases as the separation distance between large pipeline and new tunnel is increased until the distance is 2.5 times of pipeline diameter. Beyond this point, however, the displacement has become stabilized.

• Journal of the Korean Chemical Society
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• v.57 no.1
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• pp.147-158
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• 2013

This study is to search an optimal model on causal relationships of the motivations to learn and motivation strategy in chemistry education. The participants in this study are consisted of G and I high schools students (487) in Gwangju. They all answered to the questionnaire. Model I is hypothesized to be path model of the mediation between 'self-efficacy, achievement need, and entity theory of intelligence' and 'learning strategy and self-handicapping tendency of motivation strategy' by goal orientation to explore variables of study effecting the motivation strategy. And Model II is hypothesized path model of the mediation between goal orientation and 'learning strategy and self-handicapping tendency' by 'self-efficacy, achievement need, and entity theory' to explore variables of study effecting the motivation strategy. Based on these models, structural equation modeling techniques are used to evaluate for the path model among goal orientation(learning, performance approach, and performance approach goal orientation), self-efficacy, achievement need, entity theory of intelligence, self-handicapping tendency, and learning strategy in chemistry education. As the results, Model II is considered. Goodness-of-fit indexes of this model related modification models are identified and analyzed in phases. And this model is accomplished by correcting the model the fifth time to enhance goodness-of-fit indexes. In this optimal model II-5 (Fig. 3) on causal relationships of the motivations to learn and learning strategy (p

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.16 no.5
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• pp.38-48
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• 2017

Link attributes, such as speed, occupancy, and flow, are essential factors for transportation planning and operation. It is, therefore, one of the most important decision-making problems in intelligent transport system (ITS) to determine the optimal location of a sensor for collecting the information on link attributes. This paper aims to develop a model to determine the optimal location of a sensor to minimize the variability of traffic information on whole networks. To achieve this, a network sensor location model (NSLM) is developed to reflect discrete characteristics of data collection. The variability indices of traffic information are calculated based on the summation of diagonal elements of the variance-covariance matrix. To assess the applicability of the developed model, speed data collected from the dedicated short range communication (DSRC) systems were used in Daegu metropolitan area. The developed model in this study contributes to the enhancement of investment efficiency and the improvement of information accuracy in intelligent transport system (ITS).

• Journal of Korean Society for Geospatial Information Science
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• v.20 no.4
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• pp.55-65
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• 2012

The purpose of this study is to construct the System Dynamics Model that can analyze urban spatial and temporal change and suggest the policy directions applicable to U-City Planning in Busan based on the SD model. It reviews previous literatures to elicit U-City issues and performs the case study to simulate urban spatial and temporal changes in Busan. The elicited results are connected into the policy directions of U-City planning. It emphasizes the necessity of business model suggestion based on U-City technology and industry not a tool, the U-City model construction that linkages and integrates the existing cities and new cities, and the excavation of U-City service model reflecting social and demographic changes.

• The Journal of the Korea Contents Association
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• v.20 no.3
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• pp.462-469
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• 2020

This study investigated high school students' perception of English extensive reading (ER) after introducing ER to general high school students in a metropolitan area. In addition, as the free semester system was expanded in high schools as well as middle schools, we developed a class model for English extensive reading. 91.4 percent of the students who participated in the study said that they wanted to try using the English extensive reading method. Also 35 high school students who experienced English extensive reading chose the 'Five Finger rule' and 'Graded Readers' Series' as the most helpful factors in their extensive reading experiences. In interviews with English teachers, teachers expressed their demand for the development of a model of English extensive reading suitable for free semesters in general high schools. This study proposes an English extensive reading class model utilizing library resources that can be used in the free semester system as well as a performance assessment-oriented English extensive reading class model.

• Journal of the Korean Data and Information Science Society
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• v.27 no.5
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• pp.1169-1182
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• 2016

Cancer is a typical cause of death in Korea that becomes a major issue in health care. According to Cause of Death Statistics (2014) by National Statistical Office, SMRs (standardized mortality rates) in Busan were counted as the highest among all cities. In this paper, we used data of Busan Regional Cancer Center to estimate the extent of the cancer incidence rate and cancer mortality rate. The data are considered in small areas of administrative units such as Gu/Dong from years 2003 to 2009. All cancer including four major cancers (stomach cancer, colorectal cancer, lung cancer, liver cancer) have been analyzed. We carried out model selection and parameter estimation using spatial multi-level model incorporating a spatial correlation. For the spatial effects, CAR (conditional autoregressive model) has been assumed.

• Journal of the Korean Society for Railway
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• v.18 no.2
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• pp.166-174
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• 2015

A direct demand model requires relatively little analysis time and incurs a low cost. It is also known to be useful for the preliminary screening of promising configurations or concepts. This study reviews direct demand models of 12 existing urban railways using demographic data based on a block group level which is approximately 1/24 of a traditional zone area. However, direct demand models are limited. Therefore, a new approach is suggested. The proposed method is based on a field study and an empirical analysis. The study finds factors that affect ridership at the station level. As a case study, the proposed approach is tested using 54 light railway transit stations. The results of this empirical study demonstrate its applicability to improve the error rates of the predicted ridership at the station level.