• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.12
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• pp.107-119
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• 2016

This research was explored the effects of the application of the team-based classes on the self-directed learning, the academic self-efficacy, and the level of learning satisfaction of the nursing students. Study subjects are 104 nursing students from one university from G region. The data were analyzed by t-test, one-way ANOVA, paired t-test, Pearson's correlation coefficients. With regard to the differences between the levels of the learning satisfaction, the differences were shown (t=4.410, p<.05). Regarding the self-directed learning, it rose to the average of 3.50 points after the application of the team-based learning from the average of 3.39 points. It showed a difference (t=-2.083, p=<.05). And the academic self-efficacy rose to 3.65 points from the 3.12 points after the application of the self-based learning. And it showed a difference (t=-14.175, p=<.001). The level of the learning satisfaction was shown to be over the middle with the average of 3.73 points. And the self-directed learning after the application of the team-based learning showed an academic self-efficacy (r=.512, p<.001), a level of the learning satisfaction (r=.421, p<.001), and a positive relationship. It was proven that the team-based learning can cultivate the capabilities for effectively solving the clinical problems.

• East Asian mathematical journal
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• v.26 no.4
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• pp.581-597
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• 2010

In this paper, the author focuses on the teaching-level and learning-level of the completeness axiom and its applications on [0,1] and $\mathbb{R}$, $\mathbb{R}{\times}\mathbb{R}$, $\mathbb{R}{\times}\mathbb{R}{\times}\mathbb{R}$ by (expected) teachers in the school mathematics, which is usually introduced in the class of real analysis of university mathematics. Firstly the author considers the properties of the completeness axiom and its 19 equivalent theorems, next he deals with its importances in the school mathematics and finally he suggests the teaching and learning of the concepts on the completeness axiom and its applications on [0,1] and $\mathbb{R}$, $\mathbb{R}{\times}\mathbb{R}$, $\mathbb{R}{\times}\mathbb{R}{\times}\mathbb{R}$ by (expected) teachers in the school mathematics.

• Journal of Korean society of Dental Hygiene
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• v.16 no.5
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• pp.687-693
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• 2016

Objectives: The purpose of the study was to investigate the influence of instructor trust on learning flow and academic achievement in dental hygiene students. Methods: A self-reported questionnaire was completed by 202 dental hygiene students in Gyeongnam from July to August, 2016. A five point Likert scale questionnaire consisted of intimacy (8 items), professionalism (8 items), teaching ability (5 items), and leadership (6 items). Measurement of learning flow was adapted and modified by Kim et al. Academic achievement was adapted and modified by Noe and Schmitt. Cronbach's ${\alpha}$ of learning flow was 0.77 and that of academic achievement was 0.78 in the study. Data wee analyzed by t-test, one way ANOVA, $Scheff{\acute{e}}$ test, and Pearson's correlation using SPSS 23.0 program. Results: The scores of instructor trust, learning flow, and academic achievement were 4.37, 3.46, and 3.23, respectively. Academic achievement had a close positive correlation with instructor trust (r=0.46, p<0.001) and learning flow (r=0.63, p<0.001). Instructor trust had a positive correlation with learning flow (r=0.50, p<0.001). Learning flow took mediating effects on instructor trust and academic achievement. Conclusions: The trust between students and instructors had a great influence on learning flow and academic achievement. So the instructor should try to make the students concentrate on learning.

• The Journal of Korean Association of Computer Education
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• v.22 no.5
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• pp.27-37
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• 2019

In this study, for the purpose of reflection level analysis of high school students in HW design learning which is based on online simulation, we carried out 5 lessons of HW learning and analyzed there reflection levels for 5 individual time of reflection content. The reflection level analysis results for each time of learning shows that the reflection level of the $3^{rd}$ time learning of D-Flip Flop is the highest score with 1.23. The correlation analysis result between the reflection contents presents that high positive correlation between learning content and task resolving method(r=.781, p<.01), and negative design correlation between task resolving method and alternative resolving method. The HW learning satisfaction survey result shows 4.2, and most of the participant students provided opinions that the HW design learning is required and current learning contents is a bit difficult to follow. We could recognize HW design learning is required to have composition of curriculum with basic and advanced contents, and on-off lines combined.

• The Journal of Korean Academic Society of Nursing Education
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• v.18 no.2
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• pp.197-205
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• 2012

Purpose: This study aimed to demonstrate correlations among self-regulated learning, attention control and Yangseng, to clarify any differences depending on general characteristics and ultimately to understand factors affecting self-regulated learning of undergraduates. Methods: Data were collected for a month from April 1st, 2011. A total of 438 undergraduate nursing students of two universities in Chungbuk and Chungnam were surveyed by using a questionnaire about self-regulated learning, attention control and Yangseng. Results: Self-regulated learning of the subjects showed statistically significant correlations with their attention control (r=.302, p=.001) and Yangseng (r=.292, p=.001). In addition, self-regulated learning could be explained by attention control (${\beta}$=3.648, p=.001), Yangseng (${\beta}$=3.645, p=.001), perceived academic achievement levels (${\beta}$=.124, p=.018), or eating breakfast (${\beta}$=.102, p=.027). In the model, the variables explained self-regulated learning by 19.0%. Conclusion: Nursing instructors should encourage undergraduate nursing students to enhance their attention control so that they can improve their self-regulated learning abilities, which will eventually develop their problem solving skills. In addition, it was shown that self-regulated learning correlates with yangseng including eating a regular breakfast. Maintaining a desirable lifestyle is also essential for students to succeed in self-regulated learning.

• Journal of Cadastre & Land InformatiX
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• v.48 no.2
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• pp.213-225
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• 2018

For constructing three-dimensional (3D) spatial information occlusion region problem arises in the process of taking the texture of the building. In order to solve this problem, it is necessary to investigate the automation method to automatically recognize the occlusion region, issue it, and automatically complement the texture. In fact there are occasions when it is possible to generate a very large number of structures and occlusion, so alternatives to overcome are being considered. In this study, we attempt to apply an approach to automatically create an occlusion region based on learning by patterning the blocked region using the recently emerging deep learning algorithm. Experiment to see the performance automatic detection of people, banners, vehicles, and traffic lights that cause occlusion in building walls using two advanced algorithms of Convolutional Neural Network (CNN) technique, Faster Region-based Convolutional Neural Network (R-CNN) and Mask R-CNN. And the results of the automatic detection by learning the banners in the pre-learned model of the Mask R-CNN method were found to be excellent.

• ETRI Journal
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• v.39 no.3
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• pp.364-372
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• 2017

For the reliability of controllers in a software defined network (SDN), a dynamic and self-learning schedule method (DSL) is proposed. This method is original and easy to deploy, and optimizes the combination of multiple controllers. First, we summarize multiple controllers' combinations and schedule problems in an SDN and analyze its reliability. Then, we introduce the architecture of the schedule method and evaluate multi-controller reliability, the DSL method, and its optimized solution. By continually and statistically learning the information about controller reliability, this method treats it as a metric to schedule controllers. Finally, we compare and test the method using a given testing scenario based on an SDN network simulator. The experiment results show that the DSL method can significantly improve the total reliability of an SDN compared with a random schedule, and the proposed optimization algorithm has higher efficiency than an exhaustive search.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1993.06a
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• pp.1029-1032
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• 1993

The construction of the rulebase of a fuzzy controller is usually difficult because experts' knowledge is often hard to derive. To remedy such a problem, a number of self-learning schemes for rulebase formulations were proposed. One of the popular approaches is the reinforcement learning. Many successful examples employing such an idea were proposed and claimed to be with good results in the literature. The purpose of this paper is to discuss and make comparisons between some of the related work in order to provide a better picture regarding their performances. A numerical algorithm for the analysis of nonlinear as well as fuzzy dynamic systems, the Cell-to-Cell Mapping, is used. The analytical results reveals the true behavior of the learning schemes.

• Journal of Oriental Neuropsychiatry
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• v.19 no.2
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• pp.195-207
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• 2008

Objective: The purpose of this study was to compare satisfaction of practice and clinical skill in different participation learning and observation learning, and to offer the basic data to promote quality of nursing education. Method: The study used a quasi-experimental, nonequivalent control group post-test design. The subjects were 62 nursing students of K college in Jeonbuk, and the period of data gathering was limited from 19 Nov. 2006 to 30 Nov. 2006. Experience group was taught by hand-on education and control group was taught by conventional education. The instrument tools included self-efficacy, satisfaction of practice and clinical skill. The collected data were analyzed by SPSS-PC programme. Result: The results of this study were as follows: There was statistically a significance difference between the two group about satisfaction of practice(t=2.011 p=.043), and clinical skill(t=11.997, p=.000). Self-efficacy showed a significantly positive correlation with satisfaction of practice(r=.476, p=.000) and clinical skill(r=.178, p=.014). Also, satisfaction of practice showed a significantly positive correlation with clinical skill(r=.l82, p=.000). Conclusion: In conclusion, this study suggests that hand-on education is an effective learning method to nursing students. By utilizing hand-on education, makes nursing students plan self-directed nursing performance and improve their clinical skills.

• Journal of Korean Clinical Health Science
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• v.10 no.1
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• pp.1569-1577
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• 2022

Purpose: This study was conducted to investigate academic self-efficacy, metacognition and major satisfaction which influence learning flow in nursing students. Method: The subjects of this study were 239 nursing students in D college. Structured questionnaire was self-administered from May 3 to 30, 2021. The date was analyzed by t-test, ANOVA, Pearson'correlation coefficients, stepwise and multiple regression using SPSS/WIN 22.0. program. Results: In academic self-efficacy, there were significant differences in age. In metacognition, there were significant differences in age, school record. There was a statistically positive correlation between learning flow and academic self-efficacy(r=.211, p=.001), metacognition(r=.357, p<.001), major satisfaction(r=.281, p<.001). The factors influencing learning flow were metacognition(t=.682, p<.001), major satisfaction(t=2.147, p=.023)Multiple regression analysis description is 61.2%. Conclusion: To improve the learning outcomes for nursing students, it is necessary to develop teaching program and curriculum for increasing, metacognition and major satisfaction.