• Journal of the Korea Convergence Society
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• v.10 no.7
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• pp.213-224
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• 2019

The purpose of this study was to analyze the mediating effects of parental academic expectations and adolescent's optimism in the influence of perceived parental attachment on learning flow. The subjects of this study were 184 middle and high school students in Seoul. The results of this study are as follows. First, academic expectation and optimism showed significant full mediation effects on the relationship between parent attachment and learning flow. Second, there was no statistically significant difference in the difference between the indirect effects of academic expectation and optimism by the bootstrapping method. Based on the results of this study, it was found that the healthy attachment relationship with the parents increases the parent's supportive expectancy, improves the optimism for the youth, and improves the learning commitment for effective learning. Finally, we discussed the role and expectations of parents and adolescents in promoting the learning commitment of adolescents.

• Journal of Korea Society of Industrial Information Systems
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• v.23 no.2
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• pp.53-61
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• 2018

Flow is an optimal psychological state that people experience when engaged in an activity that is both appropriately challenging to one's skill level, often resulting in immersion and concentrated focus on a task. Through the study model, we found that Flow can result in deep learning and high levels of learning performance.

• Journal of Agricultural Extension & Community Development
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• v.22 no.3
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• pp.321-332
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• 2015

For the purpose of enhancing the use of social service in classrooms, this research focuses on the relationships between presence and learning flow, key words in the analysis of college classes using Facebook. The results of this study are as follow. First, social presence(${\ss}=.33$, p=.000), emotional presence(${\ss}=.29$, p= .000), cognitive presence(${\ss}=.20$, p= .010) were found to be significant according to cognitive flow experience the result of analysis of multiple regression. all regression coefficients were positive. Second, emotional presence(${\ss}=.42$, p=.000) and social presence(${\ss}=.27$, p=.000), cognitive, presence(${\ss}=.17$, p=.015) were found to be significant according to emotional flow experience the result of analysis of multiple regression. all regression coefficients were positive. Third, social presence(${\ss}=.37$, p=.000) of the three variables were found to be significant according to behavioral flow experience the result of analysis of multiple regression.

• The Journal of Korean Association of Computer Education
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• v.12 no.1
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• pp.45-55
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• 2009

The purpose of this study was to examine the possibility of development of flow level and problem-solving ability by Using robots in the programming classes. For this purpose, a course has been developed which consists of (1) strategies to motivate students and to improve flow level (2) Creative Problem Solving (CPS) teaching model to improve their problem solving abilities. We experimented the course with 30 second-grade middle school students and we could observe that the robot programming learning considered gender differences helps improving their problem solving abilities and flow level. Specially, the group of the female student was greater improvement than the group of the male student on flow level.

• The Journal of the Convergence on Culture Technology
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• v.6 no.4
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• pp.445-452
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• 2020

The purpose of this study was to identify the relationship between Nunchi and learning flow among nursing students and to investigate the factors influencing communication skills. Method: The participants were 260 nursing students in K city, who were surveyed between March 5 and April 17, 2019, using self-report questionnaire. Data were analyzed by frequencies, t-test, ANOVA, Pearson's correlation, multiple regression using SPSS Win 21.0. Result: There were positive correlation between Nunchi of participants and learning flow(r=.502, p<.001). There were positive correlation between Nunchi and communication skills(r=.619, p<.001) and between learning flow and communication skills(r=-.567, p<.001). In the multiple regression, Nunchi(β=.381, p<.001), learning flow(β=.243, p<.001) and satisfaction of clinical practice(β=.107, p=.028) were associated with communication skills. These factors accounted for 47.4% of the total variance in communication skills. Based on these results, it will be necessary to develop educational programs and strategies related with the Nunchi and learning flow disposition to improve communication skills of nursing students.

• Korean Journal of Culture and Social Issue
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• v.20 no.4
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• pp.443-467
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• 2014

The purpose of this study was to analysis the causal model between self-directedness, learning flow, career decision and self-efficacy, and career exploration behavior of undergraduate students. A survey was conducted on 604 undergraduate students, and Structural Equation Modeling was used to analyze. The major findings were as follows: First, learning flow and career decision self-efficacy were found to have positive impacts on career exploration behavior. However, self-directedness was found to have no significant direct impacts on career exploration behavior. Second, self-directedness was found to have positive impacts on learning flow and career decision self-efficacy. Finally, learning flow and career decision self-efficacy were found to have perfect mediating effects on the relationships between self-directedness and career exploration behavior. Considering the size of the specific indirect effect, the mediating effects of learning flow was relatively larger than those of career decision self-efficacy. Based on the results, discussions to increase career exploration behavior were made as well as suggestions for future research.

• The Journal of the Convergence on Culture Technology
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• v.9 no.5
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• pp.335-342
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• 2023

This study was attempted to confirm the effects of learning flow, academic stress, and resilience on self-efficacy in college students. This study targeted 304 university students in B and G cities. Data analysis was analyzed by descriptive statistics, t-test, ANOVA, Pearson's correlation coefficient, and multiple regression analysis using the SPSS 22.0 program. The average self-efficacy of the subjects was 3.14±0.62 points, and the difference in self-efficacy according to general characteristics was significant in gender(t=-2.533, p=.012) and satisfaction with major(F=5.687, p=.004). Self-efficacy of the subjects was positive correlation with learning flow(r=.574, p<.001), resilience(r=.525, p<.001), and negative correlation with academic stress(r=-.262, p<.001). Resilience of the subjects showed positive correlation with learning flow(r=.325, p<.001) and negative correlation with academic stress(r=-.291, p<.001). Learning flow showed negative correlation with academic stress(r=-.211, p<.001). Factors influencing the self-efficacy of the subjects were identified as academic commitment (β=.442, p<.001) and resilience (β=.363, p<.001) and the explanatory power was 45.6%. Therefore, in order to improve college students' self-efficacy, it is necessary to develop and apply education and programs that can improve learning flow and resilience.

• The Journal of Information Systems
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• v.27 no.1
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• pp.111-131
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• 2018

Purpose This study empirically investigated the impact of information technology(IT) capability on the co-innovation with suppliers and the effects of the co-innovation with suppliers on the product and process innovations in manufacturing firms. We demonstrated that IT promotes innovations trough the sharing of knowledge with suppliers. Design/methodology/approach The empirical data were collected through post-survey. 97 valid survey data were finally collected. With a multiple-regression analysis, we confirmed the influence relationships among critical variables. Findings In the empirical results, it was found that IT integration positively and significantly influences the amount of inter-organizational information exchange with suppliers. The results showed that the inter-organizational information flow with suppliers has a positive and significant impact on the inter-organizational learning with suppliers. It was also observed that the inter-organizational learning with suppliers facilitates and promotes the co-innovation with suppliers. From these results, it is concluded that the co-innovation with suppliers is activated through the knowledge transfer or sharing caused by an inter-organizational information flow or learning. Finally, the positive effects of the co-innovation with suppliers on the product and process innovations were empirically confirmed. Thus, it is suggested that IT capability influences innovations through the co-innovation with suppliers caused by an inter-organizational information flow.

• Journal of The Korean Society of Agricultural Engineers
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• v.59 no.4
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• pp.97-107
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• 2017

This study is to determine the coefficients of regression equations and to select the optimal regression equation in the LOADEST model after classifying the whole study period into 5 flow conditions for 16 watersheds located in the Nakdonggang waterbody. The optimized coefficients of regression equations were derived using the gradient descent method as a learning method in Tensorflow which is the engine of machine-learning method. In South Korea, the variability of streamflow is relatively high, and rainfall is concentrated in summer that can significantly affect the characteristic analysis of pollutant loads. Thus, unlike the previous application of the LOADEST model (adjusting whole study period), the study period was classified into 5 flow conditions to estimate the optimized coefficients and regression equations in the LOADEST model. As shown in the results, the equation #9 which has 7 coefficients related to flow and seasonal characteristics was selected for each flow condition in the study watersheds. When compared the simulated load (SS) to observed load, the simulation showed a similar pattern to the observation for the high flow condition due to the flow parameters related to precipitation directly. On the other hand, although the simulated load showed a similar pattern to observation in several watersheds, most of study watersheds showed large differences for the low flow conditions. This is because the pollutant load during low flow conditions might be significantly affected by baseflow or point-source pollutant load. Thus, based on the results of this study, it can be found that to estimate the continuous pollutant load properly the regression equations need to be determined with proper coefficients based on various flow conditions in watersheds. Furthermore, the machine-learning method can be useful to estimate the coefficients of regression equations in the LOADEST model.

• Journal of Christian Education in Korea
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• v.72
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• pp.165-182
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• 2022

The purpose of this study is to explore the effect of cognitive Presence on Flow according to the level of interest among the most important factors that have an effect on academic achievement. This study targeted 162 people who took the teaching course of B University. For the study, data were collected through a survey on the level of interest, cognitive Presence, and Flow. In order to verify how cognitive presence affects flow according to the level of interest, multiple regression analysis was performed by dividing the collected data into low and high groups based on the average of the level of interest. As a result, the level of learning management of cognitive presence was .071 in the high level of interest, and the level of learning management was .143 in the low group of interest level. As a result of this, the effect of the level of learning management of cognitive presence on flow according to the level of interest was confirmed. Through the results of this study, a instructional design strategy that can be flow was suggested through supporting cognitive presence according to the level of interest.