• Journal of The Korean Association For Science Education
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• v.42 no.3
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• pp.357-370
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• 2022

In this paper, we developed an augmented reality learning tool suitable for chemical bond learning and proposed a process-oriented guided inquiry learning using mobile augmented reality (POGIL-MAR) to find out how it affects science achievement, science learning motivation and learning flow. Participants were 139 10^th-grade students from a coeducational high school in Gyeonggi-do, and they were randomly assigned to the control group (TL), the treatment group 1 (POGIL), and the treatment group 2 (POGIL-MAR). They learned the concept of the chemical bond from the Integrated Science subject for four class periods. Results of two-way ANCOVA revealed that the POGIL-MAR group scored significantly higher than the other groups in a science achievement test, science learning motivation test, and learning flow test, regardless of their prior science achievement. In addition, in the case of the low-level group, the POGIL-MAR group showed a statistically significant improvement in achievement compared to the TL and POGIL groups. The MANCOVA analysis for sub-factors of science learning motivation show that the POGIL-MAR group had significantly higher scores in intrinsic motivation, career motivation, self-determination, self-efficacy, and grade motivation. In particular, the interaction effect between the teaching and learning method and the level of prior achievement was significant in the intrinsic motivation. Meanwhile, the MANCOVA analysis for sub-factors of learning flow show that the POGIL-MAR group had significantly higher scores in clear goals, unambiguous feedback, action-awareness merging, sense of control, and autotelic experience. Based on the results, educational implications for effective teaching and learning strategy using mobile augmented reality are discussed.

• Journal of Digital Convergence
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• v.10 no.8
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• pp.341-346
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• 2012

This paper reports the findings of research into the effect of flow experience and internet addiction on e-learning participation. The total number of access, playing time of contents and lag time (time between content upload and first access) were investigated as e-learning participation by analyzing web log data. The paper also examines the relationship between academic achievement and e-learning participation. The results suggest that the flow experience significantly correlates with all variables related with e-learning participation and internet addiction significantly correlates with lag time. It is found that female students significantly access more, longer and have shorter lag time than their male counterparts. It also suggest total number of access, lag time and gender difference have significant effect on academic achievement.

• The Journal of the Korea Contents Association
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• v.22 no.5
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• pp.527-541
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• 2022

This study analyzed the structural relationship between motivation to participate in online lifelong education through YouTube, academic self-efficacy, and learning flow, where learners are rapidly increasing due to the spread of COVID-19. For this study, an online survey was conducted from July 16 to 30, 2021 for adult learners living in the metropolitan area. A total of 428 people participated in the survey, and a total of 409 copies of the results were analyzed, excluding 19 insincere responses. The main analysis results are as follows. First, The fitness of the research model was verified to be suitable for all analysis. Second, as a result of confirming the coefficients and statistical significance of each pathway in the research model, the motivation to participate in YouTube lifelong education was learning flow and academic self-efficacy, and academic self-efficacy also had a positive effect on learning flow. Third, it was confirmed that the effect of participation motivation in YouTube lifelong education on learning flow through academic self-efficacy was a statistically significant partial mediation. This study is meaningful in that it verified the structural relationship analysis between participation motive, academic self-efficacy, and learning flow in online lifelong education using YouTube reflecting the digital transformation of lifelong education due to COVID-19. Reflecting the need for re-regulation of lifelong education formed after COVID-19 and the flow of digital transformation through the research results, we discussed how lifelong education can enhance learners' motivation to participate and strengthen learning flow through academic self-efficacy as a medium.

• Journal of the Korea Convergence Society
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• v.13 no.5
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• pp.455-462
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• 2022

This study is a descriptive research study to confirm the effect of learning flow and self-efficacy on self-leadership of nursing students who experienced non-face-to-face learning in the context of COVID-19. Data were collected from November 19 to December 31, 2021 for 237 nursing students, and t-test, ANOVA, correlation analysis, and regression analysis were performed for data analysis. As a result of analyzing the correlation between the subject's learning flow, self-efficacy and self-leadership. Self-leadership was showed a significant positive correlation between learning flow(r=.512, 𝜌<.001) and self-efficacy(r=.664, 𝜌<.001). On a result of regression analysis, significant variables were 24 years of age or older(𝛽=0.16, 𝜌=.001), learning flow(𝛽=0.19, 𝜌=<.001), and self-efficacy(𝛽=0.39, 𝜌=<.001). and explanatory power was 49.8%(F=40.01, 𝜌<.001). According to this study, it is necessary to develop and apply various programs that can enhance learning flow and self-efficacy in order to improve self-leadership.

• Journal of The Korean Association of Information Education
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• v.21 no.6
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• pp.607-618
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• 2017

Recently, there is a growing interest in learning to use games as a teaching method for digital native learners. In this study, we conducted a path analysis between bodily-kinesthetic intelligence, linguistic intelligence, flow, learning outcomes(academic achievement, persistence intention) in motion-capture game-based learning(the used game developed for elementary school history class). As a result, bodily-kinesthetic intelligence directly influenced flow and indirectly influenced learning outcomes. Linguistic intelligence did not have direct influence on flow and indirect effects on learning outcomes. Through this result, we expected that the motion-capture game-based learning facilitate learning motivation and performance of learners for higher bodily-kinesthetic intelligence.

• Convergence Security Journal
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• v.12 no.6
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• pp.51-59
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• 2012

This paper presents a new learning model, "BoX(Battle of X)", which is based on a concept from the culture of B-Boys who enjoy the race of "distributed cognition" to win in their contests. The "battle" means a contest and "X" means a course to which our learning model can be applied. The goal of this paper is to present a learning model that allow students to be in a state of learning-flow and provides them with the ability of creative problem solving simultaneously. The key of the "BoX" implementation is to design a principle that controls contests between students to maximize distributed cognitive activities for reducing individual's cognitive load. This paper also presents how-to of "BoX" implementation and its effects. Through the analysis on learning achievement of students during one year course of IT education, we have confirmed that the "BoX" model provides students with higher learning achievement and learning-flow level in comparison with traditional learning model.

• Journal of KIBIM
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• v.9 no.1
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• pp.22-31
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• 2019

In this paper, we construct a prototype model for city data prediction by using time series data of floating population, and use machine learning to analyze urban data of complex structure. A correlation prediction model was constructed using three of the 10 data (total flow population, male flow population, and Monday flow population), and the result was compared with the actual data. The results of the accuracy were evaluated. The results of this study show that the predicted model of the floating population predicts the correlation between the predicted floating population and the current state of commerce. It is expected that it will help efficient and objective design in the planning stages of architecture, landscape, and urban areas such as tree environment design and layout of trails. Also, it is expected that the dynamic population prediction using multivariate time series data and collected location data will be able to perform integrated simulation with time series data of various fields.

• Journal of Gifted/Talented Education
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• v.22 no.1
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• pp.157-171
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• 2012

This study compared the difference of perfectionism, academic stress, learning flow, analyzed the perfectionism impact on academic stress and learning flow between gifted and non-gifted in Elementary school children. The subjects of this study were 100 fifth grade gifted students and 100 ordinary students who showed academic achievement of the same level. According to the results of this study, gifted students showed higher self-oriented perfectionism and socially prescribed perfectionism than general students. Both gifted and general students, the higher socially prescribed perfectionism, the more increased academic stress increased. And the higher self-oriented perfectionism, the more increased learning flow. Gifted and general student's learning flow is high when self-oriented perfectionism is low and academic stress.

• The Journal of Korean Association of Computer Education
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• v.15 no.3
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• pp.61-69
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• 2012

The purpose of the present study is to examine the prediction of academic self-efficacy, learning flow, academic stress, and emotional exhaustion on course satisfaction of cyber university students. The total of 536 students registered in a meditation course at W cyber university was participated in the web-based survey in the spring semester of 2011, and finally 331 students completed this survey. The hypothetical model proposed was composed of academic self-efficacy, learning flow, academic stress, emotional exhaustion as the predictor variables, and course satisfaction as the criterion variable. According to the results of this study through multiple regression analysis, academic self-efficacy, learning flow, academic stress, and emotional exhaustion significantly predicted on course satisfaction. Based on the results of this study, effective methods and strategies for constructing cyber educational environments that enable students to improve academic self-efficacy and learning flow as well as reducing academic stress and emotional exhaustion should be considered.

• The Journal of the Convergence on Culture Technology
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• v.8 no.5
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• pp.329-340
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• 2022

The aim of this study is to examine the effect of teaching profession class using gamification on the academic self-efficacy and learning flow of pre-service early childhood teachers. 75 freshmen in the 2022 Early Childhood Education Department at A University located in Gyeonggi were participated and experienced 8 gamification-using classes over 12 weeks of 1 st semester. To examine the effectiveness of the class using gamification on academic self-efficacy and learning flow, a paired t-test for the pre-post test was conducted by analyzing the data of 65 students who faithfully answered both tests. Results of this study illustrated teaching profession class using gamification significantly improved the academic self-efficacy and its sub-factor, confidence of pre-service early childhood teachers, moreover, it also had a positive effect on learning flow and its sub-factor, cognitive learning flow of them. This study proved the effectiveness of the gamification-using class and provided subsequent studies for improving the quality of the gamification-using class.