• 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.

• Knowledge Management Research
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• v.10 no.1
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• pp.17-32
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• 2009

Cyber University has been continuously increased since it is of great necessity of education through lifelong study. Recently, the management of cyber universities does not ensure education success, because some problems are coming out. Now we are to take an interest in qualitative level of e-learning. The purpose of this study is to classify and investigate interaction factors of e-learning, which were one of the restrictions to develop e-learning, influence learning flow and satisfaction. The authors discuss the implications of the findings for interaction and learning flow theory and practice.

• Journal of Korea Water Resources Association
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• v.54 no.spc1
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• pp.1183-1193
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• 2021

Low flow affects various fields such as river water supply management and planning, and irrigation water. A sufficient period of flow data is required to calculate the Flow Duration Curve. However, in order to calculate the Flow Duration Curve, it is essential to secure flow data for more than 30 years. However, in the case of rivers below the national river unit, there is no long-term flow data or there are observed data missing for a certain period in the middle, so there is a limit to calculating the Flow Duration Curve for each river. In the past, statistical-based methods such as Multiple Regression Analysis and ARIMA models were used to predict sulfur in the unmeasured watershed, but recently, the demand for machine learning and deep learning models is increasing. Therefore, in this study, we present the DNN technique, which is a machine learning technique that fits the latest paradigm. The DNN technique is a method that compensates for the shortcomings of the ANN technique, such as difficult to find optimal parameter values in the learning process and slow learning time. Therefore, in this study, the Flow Duration Curve applicable to the unmeasured watershed is calculated using the DNN model. First, the factors affecting the Flow Duration Curve were collected and statistically significant variables were selected through multicollinearity analysis between the factors, and input data were built into the machine learning model. The effectiveness of machine learning techniques was reviewed through statistical verification.

• The Journal of the Korea Contents Association
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• v.10 no.3
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• pp.472-479
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• 2010

The purpose of this paper is to investigates the determinants of learner intention to reuse in e-learning. Based on attitude and flow related studies, our paper proposes a theoretical model consisting of factors such as contents sufficiency, course feedback, self-directed learning, attitude, flow, and reuse intention. The survey method was used for this paper, and data from a total of 409 users in e-learning system were used for this analysis. To analyze the data, structural equation model was used. The results of this empirical study is summarized as follows. First, contents sufficiency has a positive effect on flow as well as attitude, and learner's self-directed learning has a positive effect on flow as well as attitude. Second, both attitude and flow have a positive effect on reuse intention. The findings have significant implications for determinant indicators of reuse intention in e-learning.

• Journal of Digital Convergence
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• v.16 no.11
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• pp.383-392
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• 2018

This study investigates convergent factors to TOEIC learning flow among some health college students in TOEIC class. The questionnaire was performed on 255 health college students in TOEIC class from college located in J area from May 1st, 2018 to May. 25th, 2018 by using an unregistered self-administered questionnaire. The hierarchical multiple regression analysis shows the following results. The TOEIC learning flow of respondents turned out to be significantly higher in following groups: a group in which self efficacy is higher, a group in which academic control is higher, a group in which school resilience is higher. The results show explanatory power of 43.4%. As the results of the study, it is necessary to make an effort to increase self efficacy, academic control and school resilience to improve the TOEIC learning flow among health college students. These results can be used in development and operation of TOEIC learning program to higher TOEIC learning flow in health college students. Further studies need the analysis of structural equation model effecting TOEIC learning flow of health college students.

• Journal of Industrial Convergence
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• v.21 no.9
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• pp.1-9
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• 2023

The purpose of this study is to verify the mediating effect of Learning Flow in the relationship between Growth Mindset and Career Adaptability. Based on 203 response data collected from university students, hypotheses were analyzed using SPSS 26.0 and AMOS 26.0 programs. According to the result of this study, Growth Mindset had a direct positive (+) effect on Learning Flow (𝛽=.403, p<.001), and Learning Flow also had a positive (+) effect on Career Adaptability (𝛽=.393, p<.001). Also, in the relationship between Growth Mindset and Career Adaptability, Learning Flow showed a mediating effect. This means that in order for Growth Mindset to affect Career Adaptability, Learning Flow must be considered as essential. To this end, it suggests that it is important to build a Learning Flow along with cultivating a Growth Mindset.

• The Transactions of the Korean Institute of Electrical Engineers P
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• v.60 no.2
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• pp.56-62
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• 2011

The purpose of the present study is to examine prediction of perceived usefulness of learning, school support and learning flow on academic satisfaction, academic achievement and absenteeism in computer education of engineering college. To meet the purpose of the present study, D university was chosen and, two surveys were conducted among the engineering students enrolled in the computer application class. The results of this study through multiple regression analysis indicated that perceived usefulness of learning and school support predicted significantly on satisfaction(${\beta}$ = .53, ${\beta}$ = .21), In addition, perceived usefulness of learning and learning flow predicted significantly on achievement(${\beta}$ = .23, ${\beta}$ = .24), but absenteeism didn't predict significantly on any variables in this study. The results of this study suggested that perceived usefulness of learning, school support and learning flow should be considered as the important elements for designing instructional courses to enhance students' satisfaction and achievement in college education.

• Journal of the Korea Society of Computer and Information
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• v.28 no.7
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• pp.145-153
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• 2023

The aim of this study is to examine the relationship between self-regulated learning, NLR(non-learning-related) behavior, interaction and flow on satisfaction in database classes. To achieve this purpose, this study proposed a research model consisting of self-regulated learning, NLR behavior, interaction, flow and satisfaction. A survey was conducted to test the research hypotheses, and a total of 122 online questionnaires were obtained and used for the final statistical analysis. The main findings of the analysis are as follows: First, flow was consistently identified as a key determinant of satisfaction. Second, self-regulated learning was found to have a significant effect on flow. Third, NLR behavior and interaction were found to mediate the relationship between self-regulated learning and flow. This study provides insights into the role of NLR behavior and interaction in promoting flow and offers implications for understanding how to promote flow.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.7
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• pp.112-122
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• 2016

This study is a descriptive study designed to identify the relationships among self-leadership, positive psychological capital, and learning flow, and the mediation effect of positive psychological capital between self-leadership and learning flow. The participants for this study were 218 nursing students following a four-year curriculum in J city and the data was collected from April 1st to April 15th, 2016, and analyzed using descriptive statistics, the t-test, one way ANOVA, Pearson's correlation and multiple regression with the SPSS 22.0 Program. There were significant correlations among self-leadership, positive psychological capital, and learning flow. In the multiple regression analysis, the main factor affecting learning flow was self-leadership, which explained 44.1% of the variance in learning flow. Moreover, of 4 the components of positive psychological capital, self-efficacy and hope had a partial mediating effect between self-leadership and learning flow. Self-leadership, positive psychological capital, and learning flow relationship were positive relevant. To enhance the learning flow ability of the nursing students, it is necessary to develop a training program to increase their self-leadership and positive psychological capital.

• 전자공학회논문지 IE
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• v.48 no.2
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• pp.71-78
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• 2011

The purpose of the present study is to examine the causal relationship among self-regulated learning, social presence, learning flow and satisfaction in cyber education utilizing electronic media. For this study, 304 students at W cyber university in Korea completed surveys in the fall semester of 2010. The result of this study indicated that there was a meaningful effect of self-regulated learning on learning flow and satisfaction. In addition, we founded learning flow has an intermediating effect between self-regulated learning and satisfaction. Based on these results, this study propose strategies to raise satisfaction by improving students' leading role in their learning.