• Journal of The Korean Association of Information Education
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• v.15 no.3
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• pp.449-458
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• 2011

The purpose of this study is to investigate the effects of task value and perceived usefulness on learning outcomes. This study also examined the mediating effects of teaching presence in their relationships. As a result, task value and perceived usefulness significantly predicted learning outcomes (learning flow and learning persistence). In addition, teaching presence mediated between task value, perceived usefulness and learning outcome. This findings imply that task value, perceived usefulness, and teaching presence should be valued to enhance learning outcomes in Cyber university.

• The Journal of the Korea Contents Association
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• v.10 no.2
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• pp.1-13
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• 2010

The purpose of this experimental study is to find out the effect of augmented reality contents based instruction on academic achievement, interest and flow of learning. The subjects were 142 students of five classes, sampled from 6th graders of an elementary school. Three classes(86 students) were taught by augmented reality based instruction and the other two classes(56 students) were taught by textbook based instruction for 2 weeks. The experimental design of the study was the pretest-posttest control group design. The results are summarized as follows: First, there is a significant difference in academic achievement between two groups. Augmented reality based instruction group accomplished higher achievement than textbook based instruction group. Second, there is no significant difference in general interest of learning between two groups. But in the interest of lessons taken by students themselves, augmented reality based instruction is more effective than textbook based instruction. Finally, there is a significant difference in learning flow between two groups. Augmented reality based instruction group showed higher learning flow than textbook based instruction group.

• Journal of Korean Home Economics Education Association
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• v.24 no.1
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• pp.61-71
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• 2012

The purpose of this study was to develop the STEAM program based on the 'home life' area of the practical arts Education for elementary school students, futhermore this study evaluated changes of elementary school students' attitudes toward practical arts and learning flow. The STEAM program was consisted of 7 teaching-learning plan for teachers and worksheets for students. Twenty-one students at 5th grade of the elementary school were voluntary enrolled in this study. Before and after learning, their attitudes toward practical arts and learning flow were investigated. Based on the findings of the study, major conclusions were reached as follows: First, the STEAM program based on the 'home life' area of the practical arts education was developed and useful for elementary school teachers. Second, the STEAM program has an effect on students' attitudes toward practical arts, Third, the STEAM program has an effect on students' learning flow.

• Journal of the Korea Convergence Society
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• v.10 no.1
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• pp.299-305
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• 2019

The purpose of study was to investigate the effects of career decision efficacy, learning Flow, and academic achievement on department adaptation of dental hygiene students. The subjects of the study are self-administered surveys of 200 students who indicated their intention to participate. 181 questionnaires were analyzed using SPSS 18.0. The results of this study show that career decision efficacy, learning flow, academic achievement affect to major satisfaction, major confidences, major attachment. The results of this study show that career decision efficacy, academic achievement affect to major vision. Some dental hygienists students need support systems such as learning methods and educational environment that can improve academic achievement and learning commitment in order to help students adapt to their department. In addition, education and career support for career decision efficacy should be continuously maintained.

• Journal of vocational education research
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• v.29 no.3
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• pp.265-289
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• 2010

This study aims to identify effects of outplacement support program for discharged soldier to settle and adapt successfully in Ministry of Patriots and Veterans Affairs. The subject of this study are 323 discharged soldiers who completed the outplacement support program. A survey questionnaire is conducted to measure variables of this study. All data analysis is accomplished using the AMOS 7.0 version. The results of this study are as follows. First, learning motivation has direct effect on learning flow and program satisfaction positively. Second, organizational support has direct effect on program satisfaction, psychological stability positively and on learning flow negatively. Third, outplacement support program has direct effect on learning flow, program satisfaction, job-seeking efficacy and psychological stability positively. Fourth, learning flow has direct effect on program satisfaction positively but don't have direct effect on job-seeking efficacy and psychological stability significantly. Fifth, learning motivation, outplacement support program has direct effect on job-seeking efficacy and psychological stability with partial mediation effect of program satisfaction while without mediation effect of learning flow. Based on the results of the study, the following recommendations have been made. First, it is necessary to design the outplacement support program with contents in relation to discharged soldiers' successful settlement because discharged soldiers who completed the outplacement support program showed higher job-seeking efficacy and psychological stability. Second, it is needed to conduct a longitudinal study considering other variables such as employment, establishment success etc.

• Journal of Internet of Things and Convergence
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• v.9 no.6
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• pp.63-73
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• 2023

The purpose of this study is to identify the level of learning flow, learning satisfaction, academic self-efficacy, academic achievement, and academic stress of nursing students who experienced non-face-to-face online lectures, and to investigate the correlation between variables and the factors affecting academic stress. The data of this study was collected from 143 students at a nursing college in Seoul, through a Google online questionnaire from September 1, 2023 to September 25, 2023, and descriptive statistics, Student's t-test, analysis of variance, Pearson's Correlation, and linear multiple regression were conducted using SPSS Statistics 25.0. Following an analysis of the difference according to general characteristics, academic stress showed significant difference according to Motivation for applying to department(F=4.465, p=.005) and Major satisfaction(F=36.499, p=.000) of the subjects. The result of analyzing the correlation academic stress was negatively correlated with learning flow (r=-.464, p<.010), academic self-efficacy (r=-.522, p<.010), and academic achievement (r=-.379, p<.010), but learning satisfaction was not correlated with academic stress. Variables affecting academic stress were major satisfaction (𝛽=.367, p<.01), learning flow (𝛽=-.186, p<.05), and academic self-efficacy (𝛽=-.241, p<.05), and the explanatory power for academic stress was 40%. The results of this study can be used as basic data for intervention programs for relieving academic stress of nursing students.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.575-577
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• 2013

The research was aimed at the hotel industry's employees in order to test the efficiency of e-Learning, which is emerging as the alternative training system to the conventional one. The independent variables are the quality of e-Learning, including the qualities of the system, contents, and service of e-Learning, and the learning characteristic factor, including the quality factor of e-Learning, the self-efficacy of the user, learning motivation, and the flow of learning. Furthermore, the intervening variables are its perceived usefulness and the satisfaction factor of the user known as the so-called utility of e-Learning, continuous intention to use in terms of efficaciousness, and the spread of education and training. The dependent variable is customer orientation, known as the ultimate efficaciousness of corporate e-Learning.

• Proceedings of the KIEE Conference
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• 2004.07e
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• pp.27-29
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• 2004

This paper presents improved teaching and learning Gill for easily analysis tool of load flow of power system. This GUI includes not only contingency analysis function, but also calculating power loss from transmission line flow. The Gill is friendly for study for power system operation and control because picture provide a better visualizing of relationships between input parameters and effect than a tabula type result. This Gill enables topology and the output data of load flow for line outages to be shown on same picture page. Users can input the system data for power flow on the the picture and can easily see the the result 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 Gill has been studied on the Ward-Hale 6-Bus system.

• Nuclear Engineering and Technology
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• v.53 no.12
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• pp.4060-4066
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• 2021

Flow-accelerated corrosion (FAC) of carbon steel piping is a significant problem in nuclear power plants. The basic process of FAC is currently understood relatively well; however, the accuracy of prediction models of the wall-thinning rate under an FAC environment is not reliable. Herein, we propose a methodology to construct pipe wall-thinning rate prediction models using artificial neural networks and a convolutional neural network, which is confined to a straight pipe without geometric changes. Furthermore, a methodology to generate training data is proposed to efficiently train the neural network for the development of a machine learning-based FAC prediction model. Consequently, it is concluded that machine learning can be used to construct pipe wall thinning rate prediction models and optimize the number of training datasets for training the machine learning algorithm. The proposed methodology can be applied to efficiently generate a large dataset from an FAC test to develop a wall thinning rate prediction model for a real situation.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.8
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• pp.2473-2489
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• 2022

Urban development has brought about the increasing saturation of urban traffic demand, and traffic congestion has become the primary problem in transportation. Roads are in a state of waiting in line or even congestion, which seriously affects people's enthusiasm and efficiency of travel. This paper mainly studies the discrete domain path planning method based on the flow data. Taking the traffic flow data based on the highway network structure as the research object, this paper uses the deep learning theory technology to complete the path weight determination process, optimizes the path planning algorithm, realizes the vehicle path planning application for the expressway, and carries on the deployment operation in the highway company. The path topology is constructed to transform the actual road information into abstract space that the machine can understand. An appropriate data structure is used for storage, and a path topology based on the modeling background of expressway is constructed to realize the mutual mapping between the two. Experiments show that the proposed method can further reduce the interpolation error, and the interpolation error in the case of random missing is smaller than that in the other two missing modes. In order to improve the real-time performance of vehicle path planning, the association features are selected, the path weights are calculated comprehensively, and the traditional path planning algorithm structure is optimized. It is of great significance for the sustainable development of cities.