• Journal of Gifted/Talented Education
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• v.24 no.5
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• pp.829-849
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• 2014

The purposes of this study were to compare elementary gifted students with general students in respect of their character strengths, emotional intelligence and learning flow and to analyze the relationships. The results obtained in this study were as follows. First, the character strengths, emotional intelligence, and learning flow of the gifted students were higher than those of the general students. Humanity was the highest virtue for both gifted and general students. Gifted students showed a significantly lower mean difference in humility and modesty than that of general students. The gifted students showed a statistically higher mean value in the sub-regions of emotional intelligence and all sub-areas of the learning flow than that of the general students. Second, the strong correlations were found between character strengths and emotional intelligence, between character strengths and learning flow in gifted students. Third, the results showed that the character strengths of gifted students affected their emotional intelligence and learning flow significantly.

• Journal of Digital Convergence
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• v.18 no.8
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• pp.55-67
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• 2020

The purpose of this study was to investigate the effects of CELL curriculum participation on learning flow, learning motivation, academic self-efficacy, and self-directed learning ability. To this end, in the first semester of 2020, 386 students from K University conducted a pre-post survey and analyzed using SPSS. The main research results are as follows. First, participation in the CELL curriculum showed statistically significant improvement in the student's learning flow, learning motivation, academic self-efficacy, and self-directed learning ability. Second, the analysis by gender showed significant improvement in learning flow, academic self-efficacy, and self-directed learning ability only for female students. Third, in the analysis by grade level, the sophomore showed significant improvement in learning flow and self-directed learning ability, the junior in all variables, and the senior in academic self-efficacy and self-directed learning ability. Fourth, participation impressions and improvements were summarized through interviews of participating students. This study is significant in that it examines the effectiveness of the CELL curriculum and suggests practical measures for systematic operation and support.

• The Journal of the Korea Contents Association
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• v.16 no.2
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• pp.494-502
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• 2016

The purpose of this study was to investigate the relationship of wellness, campus-life satisfaction and learning flow among university students. This Model tests various theoretical research hypotheses relating to Wellness, Campus-Life Satisfaction and, Learning Flow. The proposed model is analyzed to target 214 university students in Daegu using Smart Partial Least Square(PLS) 2.0. The result of hypothesis testing are as follows. First, Spiritual, Intellectual, Social, Emotional wellness positively influenced campus-life satisfaction, but does not significantly influence physical wellness. Second, Campus-life satisfaction positively influenced learning flow. The results of the study empirically shows that university student's wellness meaning the optimal condition increases the campus life satisfaction and has a positive effect on learning flow in a moment. Thus, based on the results of the study, it is needed to make an effort to provide diverse programs to improve university student's wellness for the increase of their campus life satisfaction and learning flow.

• Journal of Digital Convergence
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• v.16 no.12
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• pp.373-381
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• 2018

This study investigates convergent influence on TOEIC learning flow and its association with self efficacy, academic control and school resilience among health college students. Data collection was carried out using a self-administered questionnaire from May 1 to May 29, 2018 and the target was randomly selected 255 health college students in TOEIC class from college located in J city. TOEIC learning flow was positively correlated with self efficacy, academic control and school resilience. With the analysis of covariance structure, we could confirm relationship among self efficacy, academic control, school resilience and TOEIC learning flow. School resilience was more influential on TOEIC learning flow than self efficacy and academic control. The results of the study indicate that the efforts to manage these factors are required to increase TOEIC learning flow of health college students in TOEIC class. The results are expected to be used to develop TOEIC learning curriculum increasing the TOEIC learning flow among health college students in TOEIC class. In the following study, the survey about additional factors of influence on TOEIC learning flow will be needed.

• Journal of the Korea Convergence Society
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• v.9 no.2
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• pp.349-357
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• 2018

The purpose of this study was to identify the self-determination motivation on learning flow by college nursing students and the mediation effects of metacognition. A sample of 145 subjects were recruited from two university in G city. And data were collected from Nov 21 to Nov 30, 2016. Data were analyzed using with SPSS 22.0. The factors affecting the learning flow were self-determination motivation, planing and monitoring of metacognition, sex and explanatory power was 66.3%. All of the metacognition factors had a partial mediating effect in the relationship between self-determination motivation and learning flow. This study is to provide basic data to develop the nursing education method to improve learning flow in the field where self regulated learning is increasing.

• The Journal of the Korea Contents Association
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• v.20 no.8
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• pp.65-74
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• 2020

The purpose of this study is to analyze relationship between general characteristics of learners and learner-related variables such as learning flow, self-directedness and learner satisfaction, thereby find out effective online teaching methods and provide the necessary basic data for improving learning satisfaction. A total of 473 students of medical school in C region were the subjects of this study and surveyed for research in a self-reporting form. According to the study, proportion of 31 to 40 minutes (38.9%) of learning engaged time was the highest, 65.5% of the learners studied regularly, more than those who studied irregularly(34.5%), and the higher the grade, the higher the percentage of learners who studied regularly. Learning flow averaged 4.03 (±0.86), self-directedness averaged 4.49 (±0.97), and learner satisfaction averaged 4.38 (±1.01). There were significant differences in learning flow, self-directedness and learner satisfaction according to grade, learning engaged time, and learning regularity. the factors affecting learner satisfaction were grade, learning flow, and self-directedness, with 72.5% adjusted R-squared. This study is expected to be used to establish an online learning management system to improve learning satisfaction by identifying variables related to learning satisfaction in the online learning environment of medical students.

• Nuclear Engineering and Technology
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• v.54 no.12
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• pp.4751-4758
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• 2022

Two-phase flow may almost exist in every branch of the energy industry. For the corresponding engineering design, it is very essential and crucial to monitor flow patterns and their transitions accurately. With the high-speed development and success of deep learning based on convolutional neural network (CNN), the study of flow pattern identification recently almost focused on this methodology. Additionally, the photographing technique has attractive implementation features as well, since it is normally considerably less expensive than other techniques. The development of such a two-phase flow pattern online monitoring system is the objective of this work, which seldom studied before. The ongoing preliminary engineering design (including hardware and software) of the system are introduced. The flow pattern identification method based on CNNs and transfer learning was discussed in detail. Several potential CNN candidates such as ALexNet, VggNet16 and ResNets were introduced and compared with each other based on a flow pattern dataset. According to the results, ResNet50 is the most promising CNN network for the system owing to its high precision, fast classification and strong robustness. This work can be a reference for the online monitoring system design in the energy system.

• Journal of Fisheries and Marine Sciences Education
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• v.24 no.3
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• pp.368-377
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• 2012

In this study, a survey was held of m-learning educators in order to find out about the influence given to motivation by the characteristics of m-learning based on the parameters of the learning outcome. As a result of the analysis, it was revealed that the characteristics of m-learning provide a significant effect on the learning outcome and it was shown that the learning outcome provides a significant effect on the learning flow as well. This study aims to provide direction and guidelines for support service for learners for the improvement of the quality of m-learning to bring about enhancement in results and the fulfillment of successful learning by students.

• Journal of Korea Society of Industrial Information Systems
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• v.15 no.1
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• pp.85-94
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• 2010

One of the most significant changes is the paradigm shift from teacher-centered learning to learner-centered learning. Along with this paradigm shift, understanding of characteristics of e-learners who are both system users and learners is needed. Before suggesting a comprehensive framework, this study proposes research model that can improve a learning performance using the flow theory. The results show that intrinsic interest and focused attention are significant predictors of learning performance. Especially, intrinsic interest is more important on learning performance than focused attention. Information quality and skill are found to be strong predictors of the intrinsic interest. Also, perceived ease of use, skill and computer self-efficacy are strong predictors of the focused attention.

• 대한공업교육학회지
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• v.32 no.2
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• pp.87-103
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• 2007

The purpose of this study was to develop of the smoke flow visualization device of learning wind tunnel, teaching-learning materials in order to demonstrate air-flow around the fluid-flow field qualitatively and understand the resistance concepts of fluid-flow in secondary school. The contents of this study were consisted of the development and experiment of smoke flow visualization for learning wind tunnel. The main results of this study were as follows: First, this developed teaching-learning material here will help students understand the fundamental physical phenomena related with the resistance of fluid and the various patterns of air-flow in the field of transportation technology. Second, flow visualization has shown the same tendency in both of theoretical and experimental patterns. Third, the airfoil model has the smallest wake region meaning resistance against air-flow of circular cylinder and square rod model. Forth, flow separation point at leading edge and wide wake region began to show under the angle of attack of airfoil model ${\alpha}$ is $20^{\circ}$. Fifth, the wake width of the flow field behind a golf ball with dimple became slightly narrower than that without dimple. Sixth, the developed device was made to apply the teaching and learning materials for the experiment and practice in order to increase students' interest and attitude.