• Journal of Christian Education in Korea
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• v.72
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• pp.165-182
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• 2022

The purpose of this study is to explore the effect of cognitive Presence on Flow according to the level of interest among the most important factors that have an effect on academic achievement. This study targeted 162 people who took the teaching course of B University. For the study, data were collected through a survey on the level of interest, cognitive Presence, and Flow. In order to verify how cognitive presence affects flow according to the level of interest, multiple regression analysis was performed by dividing the collected data into low and high groups based on the average of the level of interest. As a result, the level of learning management of cognitive presence was .071 in the high level of interest, and the level of learning management was .143 in the low group of interest level. As a result of this, the effect of the level of learning management of cognitive presence on flow according to the level of interest was confirmed. Through the results of this study, a instructional design strategy that can be flow was suggested through supporting cognitive presence according to the level of interest.

• The Mathematical Education
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• v.52 no.4
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• pp.549-565
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• 2013

To help students understand the deduction system in the proof, we analyzed the textbook on mathematics at first. As results, we could find that the textbook' system of deduction is similar with the Euclid' system of deduction. The starting point of deduction is different with each other. But the flow of deduction match with each other. Next, we searched for the example of circular argument and analyzed. As results, we classified the circular argument into two groups. The first is an internal circular argument which is a circular argument occurred in a theorem. The second is an external circular argument which is a circular argument occurred between many theorems. We could know that the flow of deduction system is consistent in internal-external dimension. Lastly, we proposed the desirable teaching direction to help students understand the deduction system in the proof.

• Journal of Advanced Marine Engineering and Technology
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• v.27 no.7
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• pp.921-929
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• 2003

An experimental investigation was performed to study the characteristics of turbulent water flow in a horizontal circular tube by using liquid crystal. To determine some characteristics of the turbulent flow, 2D PIV technique is employed for velocity measurement and liquid crystal is used for heat transfer experiments in water. Temperature visualization was made quantitatively by calibrating the color of the liquid crystal versus temperature using various approaches (TLC technique: Thermochromic Liquid Crystal), and a neural-network algorithm was applied to the color-to-temperature calibration. This study shoud the temperature and time-mean velocity distribution for Re = 2,436, 2,500 and 2,724 along longitudinal sections and the results appear to be physically reasonable.

• Journal of the Korea Computer Industry Society
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• v.5 no.9
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• pp.851-858
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• 2004

This paper presents improved teaching and learning GUI for easily analysis tool of load flow of power system with database function for searching solution. In this paper includes not only contingency analysis function but also searching function of conditional solution sets from database of solution for various load levels. The GUI is friendly for study for power system operation and control because picture provide a better visualizing of relationshipsbetween input parameters and effects than a tabula type result. This GUI enables topologyand the output data of load flow for line outages to be shown on same picture page. Userscan input the system data for power flow on the the picture and can easily see the theresult diagram of bus voltage, bus power, line flow. It is also observe the effects of different types of variation of tap, shunt capacitor, loads level, line outages. Proposed GUI has been studied on the Ward-Hale 6-Bus system.

• Korean Journal of Childcare and Education
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• v.9 no.2
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• pp.97-115
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• 2013

The present study examined the relationships between work related flow (i.e., absorption, work enjoyment, and intrinsic work motivation) and role conflict causes (i.e., teacher's belief, teaching and interaction with young children, comradeship, relationships with parents, workload, supervision, and social awareness of the job). A canonical correlation analysis was performed on the data from a sample of 154 childcare teachers. The results are as follows (1) there was a reciprocal-causal relationship between teachers' role conflict causes and their work-related flow; (2) canonical function 1 showed that absorption and work enjoyment are strongly associated to a teacher's belief and supervision of conflict causes; and (3) canonical function 2 showed that intrinsic motivation has a relatively strong relationship with workload and supervision of conflict causes. It can be concluded that it is important for childcare teachers to have sufficient job resources to promote their flow at work. Further research is needed for investigation of teacher's flow at various conditions of work.

• Journal of Digital Convergence
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• v.15 no.6
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• pp.273-282
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• 2017

The objective of this study was to verify the mediating effects of self-efficacy between metacognition and learning flow in college students in healthcare field. Participants were 300 college students. Self-administered questionnaire data were collected from November 21 to December 2, 2016. Data were analyzed using descriptive statistics, t-test, ANOVA, Pearson correlation coefficients and hierarchical regression analysis with the SPSS/WIN 23.0 program. Results are as follows. Metacognition had positive effects on learning flow(${\beta}=.678$, p<.001). Self-efficacy had a partial mediating effect on the relationship between metacognition and learning flow. The findings of study showed that metacognition was very important for enhancing learning flow and self-efficacy influenced these relationship. This study suggested that it is important to develop and implement teaching and learning strategies with improved metacognition in healthcare field.

• Journal of Convergence for Information Technology
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• v.11 no.1
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• pp.167-174
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• 2021

The purpose of this study is to examine the effect of computational thinking course on learning flow and collaborative self-efficacy of university students and to explore the effectiveness of computational thinking course as liberal arts education. For this study, 177 freshmen at a university in Chungnam Province were surveyed learning flow and collaborative self-efficiency. The collected data were analyzed with Stata IC 14 for ��2 test and t-test. The results of this study are as follows. First, the learning flow of students who took computational thinking course were significantly higher(t=3.837 p<.001) compared to those who did not. Second, the collective self-efficiency of students who took computational thinking course were significantly higher(t=2.277 p<.01) compared to those who did not. Therefore the results show that computational course has positive effects on learning flow and collaborative self-efficiency of university students. Based on these findings, discussions and implications were presented on the importance and effectiveness of computational thinking course.

• Korean Institute of Interior Design Journal
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• v.17 no.1
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• pp.138-145
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• 2008

This study is conducted to formulate various spatial compositions for mixed-use elementary schools in order to use them as community centers. Accordingly, this study is conducted to analyze currently operating community-use elementary schools to find out about the current condition of mixed-use facilities, and the types of mixed-use facilities will be derived from the analysis. In addition, a more effective method of planning mixed-use elementary schools is investigated. By incorporating various educational curricula and teaching/learning activities, major points, which should be considered when planning elementary schools, will be suggested to effectively respond to the changes of educational environment in the future. The results show that in terms of inner traffic flow type, 9 schools out of the schools under study showed a unificated traffic flow type or a cross traffic flow type. When traffic overlaps, problems of noise, visual distraction, and decreased learning performance can appear. To prevent the conflict between areas and to manage areas effectively, each area should be differentiated by installing doors and shutters and by marking guides, and the facility used for community residents and students should also be scheduled separately to avoid time conflict. In addition, to accommodate the changes of users, flexible space planning options should be considered.

• Korean Journal of Veterinary Service
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• v.40 no.3
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• pp.215-217
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• 2017

A 3-year-old chow chow dog with abdominal distention was referred to the Veterinary Teaching Hospital of Chungnam National University. The dog was diagnosed as Cor triatriatum dexter based on echocardiographic results, which demonstrated an abnormal membrane partitioning the right atrium. Echocardiography also revealed turbulent intra-atrial blood flow between the two chambers of the atrium. The dog was treated with balloon dilatation to enlarge the perforation in the abnormal membrane and to improve blood flow. As a result, although the membrane remained, increased perforation reduced the turbulent intra-atrial blood flow. Clinically the patient improved and eventually was discharged. This case is the first domestic Korean clinical veterinary report on the use of balloon valvuloplasty to treat Cor triatriatum dexter in a dog.

• Membrane and Water Treatment
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• v.9 no.6
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• pp.455-462
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• 2018

The measurement and monitoring of the biochemical oxygen demand (BOD) play an important role in the planning and operation of wastewater treatment plants. The most basic method for determining biochemical oxygen demand is direct measurement. However, this method is both expensive and takes a long time. A five-day period is required to determine the biochemical oxygen demand. This study has been carried out in a wastewater treatment plant in Turkey (Hurma WWTP) in order to estimate the biochemical oxygen demand a shorter time and with a lower cost. Estimation was performed using artificial neural network (ANN) method. There are three different methods in the training of artificial neural networks, respectively, multi-layered (ML-ANN), teaching learning based algorithm (TLBO-ANN) and artificial bee colony algorithm (ABC-ANN). The input flow (Q), wastewater temperature (t), pH, chemical oxygen demand (COD), suspended sediment (SS), total phosphorus (tP), total nitrogen (tN), and electrical conductivity of wastewater (EC) are used as the input parameters to estimate the BOD. The root mean squared error (RMSE) and the mean absolute error (MAE) values were used in evaluating performance criteria for each model. As a result of the general evaluation, the ML-ANN method provided the best estimation results both training and test series with 0.8924 and 0.8442 determination coefficient, respectively.