• Journal of Internet Computing and Services
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• v.10 no.1
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• pp.135-143
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• 2009

The purpose of this study was to explore factors that affected the satisfaction of students' experiences in an education course, with the educational method and educational technology designed with a blended learning strategy. Blended learning is currently recognized as a good solution for the problems posed by both online and face-to-face learning, because it has features like flexibility and accessibility by using tools supporting both individualization and socialization. This study is one case that illustrates how blended learning can be applied at the university level. Subjects were 56 students who had participated in the class and responded to the survey questions. The gathered data were analyzed by using Factor Analysis and the Structural Equation Model. Based on the results of Factor Analysis, data revealed 5 factors: learning motivation, previous experience, ability to use information & technology, capability of self-regulated learning, and learning satisfaction. The results of the Structural Equation Model revealed causal relationships among the aforementioned factors as follows: (a) there was a statistically meaningful causal relationship between "learning motivation" and "capability of self-regulated learning", (b) there was a statistically meaningful casual relationship between "previous experience" and "capability of self-regulated learning", and (c) "capability of self-regulated learning" directly affected "learning satisfaction".

• The Journal of the Korea Contents Association
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• v.21 no.11
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• pp.826-839
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• 2021

The purpose of this study was to provide instructional implications for synchronous online learning at universities by examining variables that influence the outcome of synchronous online learning and investigating the relationships of the variables. To achieve the purpose, self-regulated learning, social presence, learning engagement and perceived academic achievement were measured by 123 university students who had taken synchronous online learning for spring semester in 2020. The collected data were analyzed through SPSS and SPSS PROCESS macro. The results were as follows. First, self-regulated learning and learning engagement significantly predicted perceived academic achievement while social presence did not. Second, self-regulated learning had a direct effect on perceived academic achievement and had an indirect effect on perceived academic achievement through learning engagement. Third, social presence did not have a direct effect on perceived academic achievement, but had an indirect effect on perceived academic achievement through learning engagement. The implications based on the results were suggested.

• The Journal of the Korea Contents Association
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• v.21 no.10
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• pp.594-602
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• 2021

This study aims to identify the learning behavior patterns recognized by students to find effective tutoring operational methods, and further analyze the impact of learning behavior patterns on academic performance and learning satisfaction. To this end, 105 participants in the tutoring program at D University based in Busan Metropolitan City collected data and conducted descriptive statistics, correlation analysis and regression analysis according to research problems. First, the study found that students who participated in tutoring had the most environment-dependent and self-taught learning behavioral styles and environment-independent and self-taught learning behavioral style. Second, the correlation between learning behavioral styles and academic achievement and learning satisfaction shows that there is a high correlation between positive and cooperative learning behavioral styles and environment-independent and self-taught learning behavioral styles. Third, regression analysis on academic achievement and learning satisfaction showed that positive and cooperative learning behavioral styles significantly affects learning satisfaction, but environment-independent and self-taught learning behavioral style, environment-dependent and self-taught learning behavioral style, and passive learning behavioral style were not significant. These results suggest that from the school perspective, learning behavior can be recognized as an important factor in students' academic success and failure, so instructors need to check learners' learning behavior patterns and provide appropriate tutoring teaching and learning design plans.

• 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.

• Electronics and Telecommunications Trends
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• v.35 no.5
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• pp.30-42
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• 2020

Unlike in previous generations of mobile technology, machine learning (ML)-based self-healing research trend are currently attracting attention to provide high-quality, effective, and low-cost 5G services that need to operate in the HetNets scenario where various wireless transmission technologies are added. Self-healing plays a vital role in detecting and mitigating the faults, and confirming that there is still room for improvement. We analyzed the research trend in self-healing framework and ML-based fault detection, fault diagnosis, and fault compensation. We propose that to ensure that self-healing is a proactive instead of being reactive, we have to design an ML-based self-healing framework and select a suitable ML algorithm for fault detection, diagnosis, and outage compensation.

• Journal of Wellbeing Management and Applied Psychology
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• v.7 no.1
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• pp.43-50
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• 2024

Purpose: People must express their feelings and thoughts to maintain mental health and stability. Expressing one's emotions, experiences, and thoughts in writing relieves inner feelings, promotes self-exploration, and improves individual well-being, resulting in a pleasant state on physical, mental, and social levels. This study aims to reveal the learning experiences of university students who participated in a self-expressive writing course to improve their well-being. Method: To explore the learning experiences of university students who took a self-expressive writing course, this study used qualitative research methods to analyze the students' written reflection notes. Results: Self-expressive writing was found to resolve university students' negative emotions, regulate their emotions, improve their self-reflection and self-awareness, contributing to their problem-solving skills and ability to set new goals, and strengthen their social communication. The meaning of this class experience can be summarized as healing, awareness, reflection, change, and growth. Conclusion: The results of this study provide concrete data on expressive writing classes and are valuable when designing the writing programs.

• The Journal of Korean Academic Society of Nursing Education
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• v.16 no.1
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• pp.33-42
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• 2010

Purpose: The purpose of this study was to ascertain the degree of students' educational satisfaction according to their Problem-based learning strategy. Method: The subjects were 277 nursing students in C College. A questionnaire modified by researchers was used and analyzed by the SPSS WIN 12.0 program. Result: This study showed that there's a positive relationship between the level of students' educational satisfaction and their learning strategies, including collaborative, self-directed, self-expression and time management strategies. Those who were in the second year and those who have considered temporary absence from school and/or change of academic courses used the least learning strategies and showed the lowest level of educational satisfaction. The top three learning strategies influencing educational satisfaction were time management, collaborative strategies and self-directed strategies respectively. Self-expression strategy was not statistically significant as an influencing factor on educational satisfaction. Conclusion: The more learning strategies that are used, the higher the level of educational satisfaction as a whole. Further studies on how to increase student's educational satisfaction and a way to advance in learning strategies are recommended.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.16 no.1
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• pp.46-55
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• 2009

Purpose: The purpose of this research was to evaluate the effects of PBL on ability of nursing students in Self-Directed Learning, Critical Thinking Disposition and Problem Solving Process. Methods: The research design was a nonequivalent control group pretest-posttest design. For the experimental group PBL was used during one semester (14 weeks). Instruments for data collection were Self-Directed Learning Readiness Scale (Kim, 1997), Critical Thinking Disposition Scale (K won et al., 2006) and Problem Solving Process Scale (Lee, 1979). The data were analyzed by repeated measure ANOVA. Results: There were statistically significant improvements in Self-Directed Learning and Critical Thinking between the two groups after PBL. But there was no statistically significant improvement in the Problem Solving Process. Conclusion: These results suggest that PBL has a positive effect on nursing students' education. Therefore, PBL should be used for more subjects in the nursing curriculum.

• Journal of the Korean Society of Earth Science Education
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• v.9 no.1
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• pp.1-14
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• 2016

The purpose of this study is to develop SPA system using diagnostic and formative assessment in earth science classes in order to discuss its effect on learning achievement and self-directed learning attitude. For this purpose, we developed total management system, app for teachers, and app for students. This research was practiced to 76 students in 5th grade. The results are as follows. Firstly, the group taking a class used by app for diagnostic and formative assessment had an effect of improving learning achievement. However, as for learning achievement long term endurance test, the group taking a class using app for diagnostic and formative assessment had no effect. Secondly, the group taking a class using apps for diagnostic and formative assessment had an effect of improving learners' self-directed learning attitude. As for self-directed long-term endurance test, the group taking a class using app for diagnostic and formative assessment had an effect. In conclusion, I hope that this SPA system might apply to the science classes as it is a system that will satisfy the needs of both teachers and students, giving much needed feedback to students.

• Journal of the Korea Society of Computer and Information
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• v.27 no.9
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• pp.41-47
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• 2022

In this paper, we propose a new and simple self-supervised learning method that predicts the middle image of a face image sequence for automatic expression recognition. Automatic facial expression recognition can achieve high performance through deep learning methods, however, generally requires a expensive large data set. The size of the data set and the performance of the algorithm are tend to be proportional. The proposed method learns latent deep representation of a face through self-supervised learning using an existing dataset without constructing an additional dataset. Then it transfers the learned parameter to new facial expression reorganization model for improving the performance of automatic expression recognition. The proposed method showed high performance improvement for two datasets, CK+ and AFEW 8.0, and showed that the proposed method can achieve a great effect.