• Journal of Information Technology Applications and Management
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• v.21 no.3
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• pp.53-64
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• 2014

It is important to keep learners' feeling positive during learning to enhance learning performance. According to flow theory,challenge-skill balance is a precondition for flow experience: Learners feel anxiety when the challenge of learning is higher than their ability, feel boredom when the challenge of learning is lower than learners' ability, and engage in flow status when the challenge of learning matches the learners' ability. However, the current empirical study reveals that emotions related to enjoyment may appear when the learners' skill is equal to or higher than the learning challenge. Nevertheless, boredom emotion may appear when learners perceive the courses are difficult but unimportant. These empirical survey results revealed the necessary of rethinking the appearance of boredom and enjoyment emotions in computer education.

• Journal of Korean Academy of Nursing
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• v.52 no.3
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• pp.278-290
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• 2022

Purpose: This study aimed to identify the mediating effect of learning flow and the moderated mediation effect of digital literacy on the effect of the learning presence of non-face-to-face class experience in nursing students on academic achievement. Methods: Participants were 272 nursing students from six universities in two different cities. A self-report questionnaire was used to measure learning presence, learning flow, digital literacy, and academic achievement. Analysis was performed using SPSS 26.0 and SPSS PROCESS Macro (4.0). Results: The mediating effect of learning flow on the effect of learning presence on academic achievement was 0.42, and the moderated mediation index of digital literacy was 0.17. Learning flow showed a mediating effect on the relationship between learning presence and academic achievement. Digital literacy had a moderated mediation effect on the relationship between learning presence and academic achievement that was mediated by learning flow. Conclusion: The intensity of the mediating effect of nursing students' learning presence on academic achievement through learning flow increases as the level of digital literacy increases. These results suggest that educational programs considering the level of learning presence, learning flow, and digital literacy are required to promote the academic achievement of nursing college students.

• Journal of the Korean Applied Science and Technology
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• v.39 no.2
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• pp.182-192
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• 2022

The purpose of this study was to investigate the effects of flow experience and learning competency on learning satisfaction after virtual simulation-based nursing practice education for the elderly. The subjects of this study were 72 nursing students and data were collected through online surveys from April 2 to May 7, 2021. Data were analyzed using the SPSS/WIN 24.0 program by descriptive statistics, Pearson's correlation, multiple regression analysis. As a result of the study, the learning satisfaction of nursing students after virtual simulation education showed a significant positive correlation with flow experience (r=.656, p<.001) and learning competency (r=.672, p<.001). The most influential factors on learning satisfaction were learning competency (𝛽=.459, p<.001) and flow experience (𝛽=.413, p<.001), and the explanatory power of the model was 60.9%. Therefore, in order to improve learning satisfaction after virtual simulation education, it is suggested to develop ways to promote flow experience in practice and improve individual learning capabilities.

• 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.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.9 no.3
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• pp.51-59
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• 2019

In the foreign language learning theory, self-regulated learning, subject interest, learning flow, and self-efficacy have been studied as major constructs. With the help of researches regarding these constructs, a research model was set up and the contents were analyzed through SEM analysis in order to grasp the influence of these constructs on each other. Through data collected from middle school students in Gyeongnam, the analysis result shows as follows. First, the subject interest has a positive influence on learning flow. Second, the subject interest has a positive influence on self-efficacy as well as self regulated learning. Third, learning flow has a positive effect on self-efficacy. Fourth, self regulated learning has a positive influence on self-efficacy. Fifth, self-regulated learning has a positive influence on learning flow. As is shown in the analysis, in case of English education, subject specific interest brings forth learning flow and enhances self-efficacy as well as self-regulated learning thus, leading to academic achievements.

• Journal of Korea Multimedia Society
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• v.21 no.8
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• pp.1002-1020
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• 2018

Virtual reality (VR) technologies, which have been improved of late, offer experiences closer to reality than before. While VR technologies are expected to be an effective medium if used in learning content that cannot be offered in real life, distraction factors in VR technologies may prevent the users' presence and flow, making these technologies ineffective. Therefore, this study, through experiment and observation, analyzed the effect of distraction factors on the user's experience perception and learning effect when using HMD-based immersive VR. Experimental results revealed that the distraction factors were shown to have a negative, albeit not generally significant (except for tactile interactivity), effect on vividness, tactile interactivity, locomotive interactivity, presence, and flow. Ultimately, they were shown to have a negative effect on learning.

• Journal of Korean Elementary Science Education
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• v.30 no.1
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• pp.83-92
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• 2011

The purpose of this study was to develop the learning program using sharing nature that can be utilized in Korean elementary science classes and explore the its effects of science academic achievement, inquiry ability, scientific attitude of students after applying it. Sharing Nature used a playful and inspirational teaching strategy and was named after Flow Learning based on universal principles of how people learn. To examine the effects of Sharing Nature Learning Program this learning materials were applied to elementary science curriculum, and an experimental group and a control group were selected from 4th graders at a elementary school located in Icheon City, Gyeong-gi province. The results of this study found significant difference in the student's enhancement of the science academic achievement, inquiry ability, scientific attitude. In conclusion, Sharing Nature Learning Program is useful to develop the elementary school student's science academic achievement, inquiry ability, scientific attitude and had better be widely applied to science education.

• Journal of the Korean Applied Science and Technology
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• v.37 no.5
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• pp.1067-1077
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• 2020

The purpose of this study is to verify the relationship between academic self-efficacy and self-directed learning through learning flow of golf department students. This study consisted of 257 students who participated in golf classes and the data of 270 students were analyzed. The structure equation model was analyzed by SPSS 21.0 or AMOS 22.0. The results are as follows. First, the academic self-efficacy of golf department students showed a positive effect on their learning flow. Second, the learning flow of college students in the golf department showed a positive effect on their self-directed learning. Third, the academic self-efficacy of golf department students showed a positive effect on their autonomous learning.

• Journal of the Korean Applied Science and Technology
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• v.40 no.1
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• pp.113-122
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• 2023

This study attempted to investigate the effects of experience of non-contact lectures on learning flow against college students majoring in cosmetology and provide basic data to beauty education industry in the with-COVID-19 era. For this, a self-administered questionnaire survey was performed against 300 college students majoring in cosmetology from June 7 to 21, 2022. A total of 286 copies were collected and used for final analysis. The collected data were analyzed by frequency analysis, factor analysis, exploratory factor analysis, descriptive statistics, correlation analysis and multiple regression analysis, using SPSS 21.0, and the results found the followings: According to analysis of non-contact lecture experience factors, two course satisfaction factors were obtained. In learning flow, learning pleasure and learning flow were found. Specifically, class activities had a positive influence on 'learning pleasure (𝛽=.279, p<.007)' and 'learning flow (𝛽=.221, p<.031)' with statistical significance (p<.05). In addition, course satisfaction revealed a positive effect on 'learning flow (𝛽=.223, p<.041)' with statistical significance (p<.05). The above results confirm that experience of non-contact lectures affects learning flow. Therefore, it is anticipated that there would be more efforts to seek an efficient non-contact learning plan in this new era.

• 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.