• Convergence Security Journal
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• v.22 no.4
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• pp.129-133
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• 2022

Deep learning frameworks are still evolving, and there are various frameworks. Typical deep learning frameworks include TensorFlow, PyTorch, and Keras. The Deepram framework utilizes optimization models in image classification through image learning. In this paper, we use the TensorFlow and PyTorch frameworks, which are most widely used in the deep learning image recognition field, to proceed with image learning, and compare and analyze the results derived in this process to know the optimized framework. was made.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.11
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• pp.443-454
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• 2020

The purpose of this study is to propose a structural theoretical model that can explain the learning flow of online distance education participants and to clarify the structural causal relationship among related variables that affect the learning flow of cyber university learners. Study results found a modified final model with a statistically significant fit based on the structural research model proposed in this study explained the learning flow of cyber university learners. Second, as a result of verifying the relationship between learning motivation and learning flow of cyber university learners, it was found that intrinsic motivation had a significant positive effect on learning flow. Third, as a result of the empirical verification on the relationship between academic self-efficacy and learning flow of cyber university learners, it was found that academic self-efficacy had a significant effect on learning flow. Fourth, as a result of empirical verification on the relationship between self-directed learning and the learning flow of cyber university learners, it was found that the learner's self-directed learning ability had a significant effect on learning flow. Such research results can be used to suggest a strategic direction for successful settlement and diffusion of a new paradigm of online non-face-to-face distance education, which has recently attracted attention.

• Journal of Korean Society for Quality Management
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• v.43 no.2
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• pp.201-218
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• 2015

Purpose: This study surveyed the effects of instructors' verbal and nonverbal communication quality on students' learning flow and satisfaction. We divided the two types of communication into sub-factors - verbal communication into language, and nonverbal communication into kinesics, proxemics, paralanguage and physical appearance - to examine the causal relationship between learning flow and learning satisfaction. Methods: This study was conducted on the students (parents) of a paid early childhood education program run by "I" company located in Seoul, from November 12, 2014 to November 18, 2014. A total of 317 (90.5 %, effective) questionnaires were collected and analyzed using SPSS 18.0 and AMOS 18.0. Results: First, the verbal communication of the lecturers was found to have significantly positive (+) effects on learning satisfaction. Second, among the nonverbal communications, proxemics and physical appearance were found to have positive (+) effects on learning flow. Third, among the nonverbal communications, proxemics was found to have positive (+) effects on learning satisfaction. Fourth, the learning flow of students was found to have positive (+) effects on learning satisfaction. Conclusion: This study's findings can contribute to realizing desirable communication between instructors and students.

• Journal of Korean Clinical Health Science
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• v.6 no.1
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• pp.1048-1055
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• 2018

Purpose: The purpose of this study was to investigate the nursing students' metacognition and learning flow. Methods: The participants in this study were 272 nursing students. Between November and December 2017, data were collected through questionnaires. Data analysis was performed using PASW (SPSS) 21.0 program, and descriptive statistics, t-test, one-way ANOVA and Pearson correlation coefficients. Results: The mean metacognition of this study was 3.53/5, and mean of learning flow was 3.34/5. The significant learning flow according to metacognition level (F=46.75, p<.001). The significant correlates of metacognition were learning flow (r=.54, p<.001). Conclusions: The finding of study showed that metacognition was very important for enhancing learning flow influenced these relationship. This study suggested that it is important to develop and implement teaching and learning strategies with improved metacognition in nursing education field.

• The Journal of Korean Academic Society of Nursing Education
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• v.25 no.4
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• pp.393-404
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• 2019

Purpose: This study aims to investigate the influence of personality type, self-leadership, and positive psychological capital on the flow of learning of nursing students. Methods: The sample consisted of 179 nursing students. Data were analyzed using frequency, percentage, mean, standard deviation, t-test, ANOVA, $Scheff{\acute{e}}^{\prime}s$ test, Pearson's correlation coefficient analysis, and Hierarchical multiple regression. Results: Upon analysis, the relative influence of the variables that can improve learning flow, the influencing variables, were identified as self-leadership and self-efficacy. Conclusion: To increase the learning flow, supportive measures and strategies that increase positive psychological capital should be developed, successful cases of self-leadership be shared, and be incorporated into a culture that promotes learning flow. And to promote the learning flow, it needs political and environmental improvement, and institutional support of at the college level.

• Journal of information and communication convergence engineering
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• v.18 no.4
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• pp.239-244
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• 2020

This study analyzed the influencing factors of learning engagement and teaching presence in online programming practice classes. The subjects of this study were students enrolled in an industrial specialized high school, who practiced creating Arduino circuits and programming using a web-based virtual practice tool called Tinkercad. This research adopted a tool that can measure task value, learning flow, learning engagement, and teaching presence. Based on this analysis, learning flow had a mediating effect between task value and online learning engagement, as well as between task value and teaching presence. Increasing learning engagement in online classes requires sensitizing the learners about task value, using hands-on platforms available online, and expanding interaction with instructors to increase learning flow of students. Furthermore, using virtual hands-on tools in online programming classes is relevant in increasing learning engagement. Future research tasks include: confirming the effectiveness of online learning engagement and teaching presence through pre- and post-tests, and conducting research on various practical subjects.

• 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 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.

• The Journal of the Convergence on Culture Technology
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• v.7 no.4
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• pp.511-517
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• 2021

This study is a descriptive investigative study to correlate of learning flow, self-directedness, self-regulated learning ability and learning achievement of nursing students who in non-face-to-face learning environment. The subjects of the study were 179 nursing college students based in B, G city, who collected data from September to October 2021. The data analysis used the SPSS 24.0 program and performed descriptive statistics and correlation analysis. As a result of the study, the average learning flow was 38.54±7.87 points, self-directedness was 134.83±19.81 points, self-regulated learning ability was 42.93±5.98 points and learning achievement was 15.03±2.56 points. The relationships among learning flow, self-directedness, self-regulated learning ability, and learning achievement showed significant positive correlations. Therefore, strategies to increase the learning achievement of nursing college students in a non-face-to-face environment, and environmental improvement and institutional support to increase learning flow are needed.

• Journal of Fisheries and Marine Sciences Education
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• v.28 no.2
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• pp.582-595
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• 2016

Effects of learning variables on academic achievement were major goal of this study. The differences of learning emotions, attitudes, flow and major satisfaction by grades of college students in medical school were proposed to conduct. Participants of this study consisted of 194 students of 1st and 2nd grade plus 121 students of 3rd and 4th grade in medical school. They completed the survey questionnaires composed of learning emotions, attitudes, flow and major satisfaction. Collected data were analyzed by t-test and stepwise multiple regression. Two kinds of results achieved as follows: First, there were differences of negative and positive emotions, and learning attitudes but were found no differences of learning flow and major satisfaction by grades. Second, there were significant effects of learning emotions and attitudes on academic achievement and also found differences of variables that affect academic achievement by grades. Based on these results, we think necessitate of considering learning emotions and behaviors in developing training programs and students support systems for medical school are obliged.