• The Journal of Korean Association of Computer Education
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• v.15 no.4
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• pp.61-77
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• 2012

The purpose of this study was to examine the structural relationship among task value, self-efficacy, classroom goal structure, and academic emotions(enjoyment, fear, boredom) for promoting self-regulated learning in e-learning course. The results showed that task value, self-efficacy, class goal structure influenced academic emotions and self-regulated learning, and enjoyment had mediation effects among exogenous variables and self-regulated learning. The findings offer implications of facilitating self-regulated learning while considering academic emotions.

• Journal of Convergence for Information Technology
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• v.9 no.12
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• pp.252-263
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• 2019

This study attempted to apply flip-learning and to evaluate college students' awareness and academic achievements. Twenty-seven students in single-group dental hygiene were applied to the dental radiology class for four weeks. Data collection was done after the flipped-learning and collected data were analyzed using frequency, average and content analysis using SPSS 18.0. As a result, awareness of overall class was a positive response, and academic achievement evaluation was not statistically significant. It was found to be an effective educational program. However, the academic achievement evaluation was not statistically significant and it was considered that the evaluation system needs to be different according to the learning method.

• The Journal of Korean Association of Computer Education
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• v.14 no.3
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• pp.73-82
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• 2011

The purpose of the present study is to examine the structural relationship among academic stress, achievement motivation, learning environment, school flow and learning persistence in cyber education. For this study, 879 students who were enrolled in S cyber university in Korea was chosen to conduct the survey. Achievement motivation was measured in the beginning of the semester. Academic stress, learning environment, school flow, and learning persistence were measured at the end of the semester through the web survey system. The results of this study were as follows: First, academic stress, achievement motivation, and learning environment significantly affected school flow. Second, academic stress, achievement motivation, and school flow affected learning persistence, but didn't affect learning environment significantly. The results imply that academic stress, achievement motivation, and school flow should be considered as the significant elements for constructing cyber education environments to enhance students' learning persistence.

• Journal of the Korean Society of Radiology
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• v.16 no.5
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• pp.611-618
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• 2022

The purpose of this study was to confirm the degree of other behaviors among university students in the department of radiology(science) who experienced online classes in the COVID-19 situation and to investigate the effect of self-directed learning ability, flow and academic achievement on other behaviors. The research method was descriptive research. Data were 200 students collected from June 1 to 30 in 2022 using structured questionnaires as students in the Department of Radiology(science). Collected data were analyzed using descriptive statistics, t-test, ANOVA, Cronbach's pearson's correlation, multiple regression analysis with SPSS/WIN 21.0. The result of the study showed that the other behaviors were in the order of 'having s different thought, and 'sending text messages'. other behaviors was 1.75, self-directed learning ability was 3.60, flow was 3.23 and academic achievement was 4.29. There was a significant negative correlation between other behaviors and self-directed learning ability, flow, academic achievement. Factors influencing other behaviors were academic achievement, age, flow, self-directed learning ability in that order. As a result of the above research. it is expected that specific measures and various teaching methods to be flowed in the class are need as the way to lower the other behaviors of university students in the Department of Radiology(science) is to increase academic achievement.

• The Journal of the Korea Contents Association
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• v.21 no.10
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• pp.1-10
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• 2021

Log data accumulated in the Learning Management System (LMS) provide high-quality information for the learning process of students. Until now, various studies have been conducted to predict students' academic achievement using LMS log data. However, previous studies were based on relatively small sample sizes of students and courses, limiting the possibility of generalization. This study developed and validated a deep neural network model for the early prediction of academic achievement of college students using massive LMS log data. To this end, we used 78,466,385 cases of LMS log data and 165,846 cases of grade data. The proposed model predicted the excellent-grade students with a high level of accuracy from the beginning of the semester. Meanwhile, the prediction accuracy for the moderate and underachieving groups was relatively low, but the accuracy improved as the time points of the prediction were delayed. This study is meaningful in that we developed an early prediction model based on a deep neural network with sufficient accuracy for practical utilization by only using LMS log data.

• Journal of the Korea Convergence Society
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• v.11 no.9
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• pp.443-450
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• 2020

This study examined the relationship of resilience, academic stress and academic achievement of nursing students. Data were collected through self reported structured questionnaire in 197 nursing students from September 26 to October 12, 2019. Data were analyzed using SPSS/WIN 23.0. As a result this study, resilience was negatively correlated with academic stress(r=-.46, p<.001). while resilience was positively correlated with academic achievement(r=.48, p<.001). As a result regression analysis, social support, structural style, and positivity among the sub-variables of resilience explained 28.4%(F=24.80, p<.001) of the academic stress in nursing students. Relational, and self confidence explained 22.7%(F=27.80, p<.001) of the academic achievement Therefore, it is necessary to develop interventions that can enhance social support structural style, positivity, relational, and self confidence to manage the academic stress and to improve academic achievement of nursing students.

• Journal of Digital Convergence
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• v.11 no.2
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• pp.355-363
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• 2013

The study conducted an employment capability reinforcement program targeting health-related college students, and then carried out positive analysis to find out how satisfaction affects adjustment to college life and academic achievement. An employment capability reinforcement program was conducted which targeted health related majors at a university located in Cheongbuk, and information on satisfaction, adjustment to college life, and academic achievement was collected through a self-administered questionnaire. The analysis results revealed that the higher the satisfaction for the employment capability reinforcement program, the better the adjustment to college life, while increased adjustment to college life affected academic achievement. Although the employment capability reinforcement program had no direct relationship of influence to academic achievement, the study shows that it does lead to increased academic achievement by way of adjustment to college life, which ends up as a positive affect for future employment. Therefore, active efforts are necessary to revitalize employment related programs that suit the characteristics of each department in order to establish an environment for revitalizing employment and increasing adjustment to college life.

• 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.

• 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.

• Proceedings of the KHMA Conference
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• 2013.05a
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• pp.181-197
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• 2013