To examine the limitations of the the Blosser's (1973) 'Question Category System for Science', which is mainly applied to research in science education in Korea, we analyzed 30 hours of class conversation in a small group program (for first-year middle school students) with a researcher participating as a teacher. When classified according to Blosser's (1973) classification system, distinguishing between 'open and closed questions' was difficult. Questions with the same content were classified into different types depending on their context, whereas some questions could not be classified appropriately. Additionally, higher-level questions (open questions) were not more effective than lower-level questions (closed questions) in improving students' thinking ability or participation in class. The questionnaire's effect differed depending on the information provided by the teacher before questioning, and in many cases, previous question influenced the next questions. However, in the science education questionnaire research based on Blosser's (1973) classification, which is mainly conducted in Korea, each individual question is classified according to the cognitive level, disregarding the influence of context and prior and subsequent questions and the quality of instructions is evaluated by the frequency of higher level questioning. The results of this study indicate that the method of evaluating instruction quality based on the frequency of high-level questioning, which is currently conducted in domestic science education inquiry research, should be avoided.
This study is a meta-analysis study conducted to integrate and analyze the results of flip-learning studies for Korean nursing students. We searched PubMed, EMBASE, Cochrane, CINAHL, and Korean databases. Randomized controlled trials (RCTs) and Non-Randomized controlled trials (Non-RCTs) evaluating the effects of flipped learning for Korean nursing students were included. Standardized mean differences (SMDs) with 95% confidence intervals (CIs) were calculated using a random-effects meta-analysis. The entire effect size in flipped learning was big in effect size (SMD = 1.21; 95% CI = 0.84 to 1.63; I2 = 93.9; n = 23) compared to the control groups. The analysis results of subgroups according to the classification of Bloom showed that flipped learning was found to have a significant effect on psychomotor domain, cognitive domain, and affective domain. A total of 10 literature analyses, this meta-analysis showed that flipped learning on Korean nursing students is effective in psychomotor, cognitive, and affective domain than the traditional teaching method. The flip learning can be integrated into theoretical and practical nursing education to improve the academic performance of nursing students.
Choi, Jaewan;Shin, Min Hwan;Cheon, Se Uk;Shin, Dongseok;Lee, Sung Jun;Moon, Sun Jung;Ryu, Ji Cheol;Lim, Kyoung Jae
Journal of Korean Society on Water Environment
/
v.27
no.4
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pp.425-432
/
2011
To control non-point source pollution at a watershed scale, rainfall-runoff characteristics from forest watersheds should be investigated since the forest is the dominant land use in Korea. Long-term monitoring would be an ideal method. However, computer models have been utilized due to limitations in cost and labor in performing long-term monitoring at the watersheds. In this study, the Geo-spatial interface to the Water Erosion Prediction Project (GeoWEPP) model was evaluated for its runoff prediction from a coniferous forest dominant watersheds. The $R^2$ and the NSE for calibrated result comparisons were 0.77 and 0.63, validated result comparisons were 0.92, 0.89, respectively. These comparisons indicated that the GeoWEPP model can be used in evaluating rainfall-runoff characteristics. To estimate runoff changes from a coniferous forest watershed with various cover degree scenarios, ten cover degree scenarios (10%, 20%, 30%, 40%, 50%, 60%, 70%, 80%, 90%, 100%) were run using the calibrated GeoWEPP model. It was found that runoff increases with decrease in cover degree. Runoff volume was the highest ($206,218.66m^3$) at 10% cover degree, whereas the lowest ($134,074.58m^3$) at 100% cover degree due to changes in evapotranspiration under various cover degrees at the forest. As shown in this study, GeoWEPP model could be efficiently used to investigate runoff characteristics from the coniferous forest watershed and effects of various cover degree scenarios on runoff generation.
Journal of the Korean Recycled Construction Resources Institute
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v.11
no.3
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pp.226-233
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2023
In this study, two phases were conducted to investigate the direct injection of gaseous CO2 into cement mortar. The aim was to advance carbon capture, utilization, and storage (CCUS) technology by harnessing industrial waste CO2 from the domestic ready-mixed concrete industry. In the first phase, the factors influencing the physical properties of cement mortar when using gaseous CO2 were identified. This included a review of materials to achieve physical properties comparable to a reference formulation. As a result of this phase, it was confirmed that traditional approaches, such as adjusting the water-to-cement ratio, had limitations in achieving the desired physical properties. Consequently, the second phase focused on the optimization of CO2-injected mortar. This involved studying the CO2 application and mixing method for cement mortar. Changes in properties were observed when gaseous CO2 was injected into the mortar. The optimal injection quantity and time to enhance the compressive strength of mortar were determinded. As a result, this study indicated that an extra mixing time exceeding 120 seconds was necessary, compared to conventional mortar. The optimal CO2 injection rate was identified as 0.1 to 0.2 % by weight of cement, taking both flowability and compressive strength performance into account. Increasing the CO2 injection time did not further enhance strength. For this approach to be employed as a CCUS technology, additional studies are required, including a microstructural analysis evaluating the amount of immobilized CO2.
ESG, which stands for Environmental, Social, and Governance, becomes a keyword in managing a company as it becomes an "indicator" that judge companies. Since the environment has suffered so much damage for economic development, it is now to reflect the enormous environmental costs of the future in the management standard rather than the immediate financial benefits at the expense of the environment. Compared to the days when corporate social responsibility (CSR) was discussed, ESG management has improved significantly as it requires practice beyond the declarative level, but the level of consideration for the environmental field is still not high. There may be many backgrounds, but the biggest problem may be the lack of understanding for other fields. Accordingly, this study aims to inform corporates of the need for investment in the environmental field by explaining ESG reviewed in the environmental field and ESG management required in the environmental field. Furthermore, another purpose is to inform them that ESG management is a win-win strategy that can have a meaningful effect not only in the environmental field where investment is received but also in terms of companies by explaining the benefits that companies can gain through this. To reach this goal, this study proposed a method of restoring a damaged ecosystem based on corporate investment, evaluating its effects based on carbon absorption capacity, and using it as a means of carbon neutrality practice as well as ESG management performance of a company.
This study aims to suggest an appropriate flexural reinforcement technique by evaluating the reinforcement capacity of specimens that underwent flexural reinforcement according to the post-tension method with the anchoring position of an unbonded tension member on the conventional SC composite beam and the applied tension level as variables. For the experiment, up to a predetermined yield load was applied to each type of specimen and then, unbounded post-tensioning was additionally conducted to examine its reinforcement capacity. The analysis of the said experiment showed that the post-reinforced SC composite beam was characterized by significantly improved yield stress and initial stiffness, compared with the pre-reinforced one and the experimental measurements/theoretical values of maximum stress ranged from 0.95 to 1.13 following reinforcement. There was little or no change depending on the maximum stress and tension in the specimen (D160, Class 240) whose neutral axis and upper part had anchoring devices mounted prior to reinforcement. Rather, the ductility decreased with the increasing tension. On the contrary, in the case of the other specimen (Class D120) whose neutral axis had anchoring devices mounted after reinforcement, both the maximum stress and ductility increased with increasing tension, which indicates that the latter tension reinforcement was reasonably appropriate and effective for the neutral axis reinforcement.
Kim, Eunyoung;Kim, Jiyeon;Jung, Hyejin;Song, Wonkyong
Journal of Environmental Impact Assessment
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v.26
no.4
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pp.227-241
/
2017
A human in urban areas has depended on ecosystem for well-being, so it is important to evaluate urban ecosystem services which contribute significantly to human well-being. In this study we classified ecosystem functions and set indicators used for evaluating ecosystem services of urban park by Delphi method. As a result, it derived 12 items and 14 indicators of ecosystem services to evaluate them such as vegetable garden, canopy cover, biodiversity, and educational programs. Based on the derived evaluation indicators, the feasibility of the indicators was examined by applying to two urban parks, Maetan park and Seoho-Ggotme park, in Suwon City. We also suggested strategies to improve each ecosystem services based on the results of evaluation. It is significant to recognize unknown services in urban parks. The results can be used for improving urban ecosystem services consistently in response to current rapid urbanization. In the future, the city should make a master plan on ecosystem service on urban area, beyond urban park, considering both of quality and quantity.
Journal of the Korea Academia-Industrial cooperation Society
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v.20
no.11
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pp.282-293
/
2019
Purpose: After developing and imparting knowledge of a simulation-based emergency airway management education program for nursing students, this study identified the effects of the education by evaluating emergency airway management knowledge, Clinical Performance Ability, self-efficacy, and critical thinking disposition. Method: The participants were 30 nursing students. Data were collected from October 14 to November 11, 2017, and analyzed using IBM SPSS Version 22.0. Results: The simulation-based nursing education program was developed and applied based on the ADDIE model involving five stages: analysis, design, development, implementation and evaluation. Comparing the pre-and post-education results, we observed statistically significant improvement when considering emergency airway management knowledge (t=-9.98, p<0.001), Clinical Performance Ability (t=-23.90, p<0.001), self-efficacy (t=-16.77, p<0.001), and critical thinking disposition (t=-5.04, p<0.001). Conclusions: Simulation-based emergency airway management training program is an effective educational program that enhances the emergency airway management knowledge, Clinical Performance Ability, self-efficacy, and critical thinking disposition of nursing students. We believe that the program developed in this study contributes towards improvement of patient nursing quality by enhancing the ability of nursing students to cope with emergencies in practice. Furthermore, it can be applied for educating new nursing students, and contribute to the development of nursing practices.
This paper reports the results of the 2009 Internet volunteer panel version of the social survey conducted by Statistics Korea (Korea National Statistical Office). Authors identify socio-psychological characteristics of Internet survey volunteers and present quantitative evaluation of the propensity adjustment weighting method intended to remove Internet sample bias. The nine criteria used for propensity adjustment were regions, urban/rural, gender, age, education, consumer satisfaction, views on income distribution, newspaper access and Internet news access. Propensity adjustment weighting based on the logit model and rim weights were applied to the online survey of 2,903 respondents using the face-to-face area sample data of 37,049 respondents as reference. A total of 106 items were used for evaluating the propensity adjustment weighting methods. The results showed that in 80% of survey items the propensity adjustment weighting yielded better estimates compared to simple demographic weighting. This suggests that Internet surveys by volunteer panels are useful for conducting the general social study in Korea. The reference survey data for this study contains several items on social-psychological behaviors and attitudes, is large in size and obtained by probability sampling. Thus it may be utilized in propensity adjustment of other Internet surveys.
In this paper, we address an efficient processing scheme for k-nearest neighbor queries to retrieve k static objects in road network databases. Existing methods cannot expect a query processing speed-up by index structures in road network databases, since it is impossible to build an index by the network distance, which cannot meet the triangular inequality requirement, essential for index creation, but only possible in a totally ordered set. Thus, these previous methods suffer from a serious performance degradation in query processing. Another method using pre-computed network distances also suffers from a serious storage overhead to maintain a huge amount of pre-computed network distances. To solve these performance and storage problems at the same time, this paper proposes a novel approach that creates an index for moving objects by approximating their network distances and efficiently processes k-nearest neighbor queries by means of the approximate index. For this approach, we proposed a systematic way of mapping each moving object on a road network into the corresponding absolute position in the m-dimensional space. To meet the triangular inequality this paper proposes a new notion of average network distance, and uses FastMap to map moving objects to their corresponding points in the m-dimensional space. After then, we present an approximate indexing algorithm to build an R*-tree, a multidimensional index, on the m-dimensional points of moving objects. The proposed scheme presents a query processing algorithm capable of efficiently evaluating k-nearest neighbor queries by finding k-nearest points (i.e., k-nearest moving objects) from the m-dimensional index. Finally, a variety of extensive experiments verifies the performance enhancement of the proposed approach by performing especially for the real-life road network databases.
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