• Journal of Digital Policy
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• v.3 no.1
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• pp.1-10
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• 2024

The purpose of this study was to identify the predictors of self-regulated learning strategies among nursing university students. Data were collected from 212 nursing university students in G metropolitan city and K city. The SPSS WIN 23.0 version program was used for data analysis. The data were analyzed using Pearson's correlation coefficient and multiple regression. There were significant correlations between media multitasking and self-regulated learning strategies(r=.45, p<.001), learning flow and self-regulated learning strategies(r=.59, p<.001), and media multitasking and learning flow(r=.32, p<.001). Friendship satisfaction, media multitasking and learning flow explained 45% of the variance for self-regulated learning strategies. To increase the self-regulated learning strategies among nursing university students, it is necessary to develop multiple interventions that enhance friendship satisfaction, media multitasking and learning flow.

• Journal of Information Technology Services
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• v.19 no.5
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• pp.107-124
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• 2020

Due to spread of covid-19, which began in December 2019, the usage of online distance learning has expanded within colleges. However, because of the lack of readiness for running online distance learning, professors and students had to experience a lot of inconvenience. In the near future, the usage of online distance learnig is expected to more expand, thus, it seems that there should be a strategies for sustainable online learning operations. This study aims to investigate which factors have impact on the continuance intention to usage of online distance learning of airline department students, focused on Post-Acceptance Model. For the empirical analysis, this study utilized a structural equation model after collecting 136 survey data. The results is as follow; First, user interface has positive impact on confirmation and confirmation has positive impact on satisfaction of online distance learning. Seconds, confirmation has positive impact on perceived usefulness, flow and social presence. Third, social presence has positive impact on satisfaction of online distance learning, but perceived usefulness and flow didn't have statistically meaningful impact on satisfaction. Finally, statisfaction of online distance learning has huge positive impact on continuance intention to usage. It is expected that the implications of this study enable colleges effectively to run online distance learning in preparation for the post-covid 19 era.

• Journal of Korea Society of Digital Industry and Information Management
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• v.14 no.4
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• pp.177-187
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• 2018

The purpose of this study is to investigate the influence of learning flow, learning interest, and academic achievement by dividing the time when class was taught by Havruta. The Havruta teaching method is a traditional Jewish method of learning, with a one-on-one discussion with a partner that has a positive impact on each other. Havruta teaches learners through various perspectives and perspectives, helping them to improve their learning ability by attracting new ideas and solutions. In the computer lab, there is a big difference between the students according to the learner's abilities. Therefore, it is thought that the Havruta teaching method will help the learners who have lost interest in learning and improve the learning ability in the conventional way which does not consider personal abilities. do. In this paper, based on the friendship teaching model of the Havruta teaching style, the experimental group was taught through the Havruta practice and the play. Through the pre- and post-test, the students who taught the class with the help of the verbal method improved the learning flow, the learning interest and the academic achievement.

• Journal of Digital Convergence
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• v.15 no.6
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• pp.273-282
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• 2017

The objective of this study was to verify the mediating effects of self-efficacy between metacognition and learning flow in college students in healthcare field. Participants were 300 college students. Self-administered questionnaire data were collected from November 21 to December 2, 2016. Data were analyzed using descriptive statistics, t-test, ANOVA, Pearson correlation coefficients and hierarchical regression analysis with the SPSS/WIN 23.0 program. Results are as follows. Metacognition had positive effects on learning flow(${\beta}=.678$, p<.001). Self-efficacy had a partial mediating effect on the relationship between metacognition and learning flow. The findings of study showed that metacognition was very important for enhancing learning flow and self-efficacy influenced these relationship. This study suggested that it is important to develop and implement teaching and learning strategies with improved metacognition in healthcare field.

• Journal of Convergence for Information Technology
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• v.11 no.1
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• pp.167-174
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• 2021

The purpose of this study is to examine the effect of computational thinking course on learning flow and collaborative self-efficacy of university students and to explore the effectiveness of computational thinking course as liberal arts education. For this study, 177 freshmen at a university in Chungnam Province were surveyed learning flow and collaborative self-efficiency. The collected data were analyzed with Stata IC 14 for ��2 test and t-test. The results of this study are as follows. First, the learning flow of students who took computational thinking course were significantly higher(t=3.837 p<.001) compared to those who did not. Second, the collective self-efficiency of students who took computational thinking course were significantly higher(t=2.277 p<.01) compared to those who did not. Therefore the results show that computational course has positive effects on learning flow and collaborative self-efficiency of university students. Based on these findings, discussions and implications were presented on the importance and effectiveness of computational thinking course.

• Journal of Industrial Convergence
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• v.21 no.11
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• pp.57-65
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• 2023

This study was attempted to verify the mediating effect of perceived interaction in the relationship between learning flow and problem-solving confidence of nursing students who experienced team-based nursing practice learning. The subjects of this study were 148 senior nursing students who experienced team-based nursing practice learning classes. Data were collected using a structured questionnaire. For data analysis, descriptive statistics, Pearson correlation analysis, hierarchical multiple regression analysis, and Sobel test were conducted. The results of the study showed that nursing students' learning flow was 3.58±0.56 points, perceived interaction was 4.06±0.56 points, and problem-solving confidence was 3.67±0.53 points on average. Learning flow of nursing students showed a positive correlation with perceived interaction(r=0.63, p<.001) and problem-solving confidence(r=0.74, p<.001). Perceived interaction showed a partial mediating effect in the relationship between learning flow and problem-solving confidence(z=5.31, p<.001). It may be necessary to develop programs to improve nursing students' learning flow, perceived interaction, and problem-solving confidence, and to improve their clinical practice ability to solve nursing problems in various nursing settings.

• Korean Journal of Childcare and Education
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• v.16 no.1
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• pp.99-114
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• 2020

Objective: This study aimed to investigate the effects of a walking program developed by applying the flow learning method in order to improve children's attitude toward nature and their empathy ability among other five-year-olds. Methods: A total of 49 five-year-olds attending classes at two kindergartens located in B city participated in this study. There were 24 children in the comparative group and 25 children in the experimental group. Before and after the program, all participants individually took a child's nature-friendly attitude test and rated their empathy ability with a teacher. Using the SPSS 25.0 version program, data were analyzed by conducting means, standard deviation, t-test, and ANCOVA(Analysis of Covariance). Results: Children who participated in the walking program using flow learning showed significantly higher nature-friendly attitudes than those of the comparative group. And empathy abilities in the experimental group were higher than in the comparative group in all areas. Conclusion/Implications: The results of this study suggest that a walking program applying flow learning is effective in improving young children's nature-friendly attitude and their empathy abilities.

• The Journal of the Convergence on Culture Technology
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• v.8 no.5
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• pp.111-119
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• 2022

This study examined the relationship of self-directed learning ability, teaching presence, learning flow and academic achievement of nursing students in non-face-to-face class. Data were collected through self reported structured questionnaire in 146 nursing students from June 19 to 20, 2021. Data were analyzed using SPSS/WIN 23.0. As a result this study, academic achievement was positively correlated with self-directed learning ability, teaching presence and learning flow. As result regression analysis, learning flow, self-directed learning ability and teaching presence explained 67% of the academic achievement in nursing students. Therefore, based on this study it will be more effective to improve academic achievement of instructional design and customized instructional methods that can improve self-directed learning ability, teaching reality and learning commitment are applied together in non-face-to-face classes.

• Journal of The Korean Association of Information Education
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• v.26 no.5
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• pp.353-360
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• 2022

The purpose of this study is to verify the effect of artificial intelligence storytelling education program designed to help learning artificial intelligence based on storytelling, the most important element of human intelligence, on learning flow. To this end, a 16-hour artificial intelligence education program was designed and developed, and applied over 8 weeks to 19 gifted students in 5th and 6th grades of elementary school. Artificial intelligence storytelling education program was developed in the form of teaching and learning course plans for each class and storybooks. Artificial intelligence storytelling education program application results showed significant improvements in average scores in all 9 sub-factors of learning flow, including combination of challenges and abilities, integration of behavior and consciousness, clear goal, concrete feedback, focus on task, sense of control, loss of self-consciousness, Distortion of the sense of time, and self-purpose experience. In other words, it was confirmed that artificial intelligence storytelling education program was effective in improving learning flow.

• Journal of Industrial Convergence
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• v.21 no.11
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• pp.75-83
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• 2023

This study aimed to identify the effect of academic emotions, learning flow and perceived teaching presence for academic achievement of nursing students in an uncontacted online class learning in the convergence society. The participants were 127 nursing students; data were analyzed using t-test, ANOVA, pearson correlation, multiple regression. It was found that: nursing students showed higher score at academic emotions, higher learning flow, and higher perceived teaching presence, higher score for academic achievement. The main factors influencing academic achievement were academic emotions, learning flow and perceived teaching presence. They explained about 42.7% of the academic achievement. Therefore, when operating uncontacted online classes for nursing students, it is necessary to consider the factors of learners, the personal efforts of the instructor, and systematic support for strengthening the instructor's capabilities.