• Journal of Digital Convergence
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• v.19 no.1
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• pp.361-371
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• 2021

Communication education research has focused on the effects of instructor characteristics on learning. It is necessary to consider student characteristics as well to develop an effective teaching strategy. The current study tries to classify students into multiple distinct groups depending on their personality traits and communication characteristics and investigates differences in effects of teacher characteristics between those groups. A survey on unversity students was conducted to collect data. A cluster analysis was carried out to identify distint sub-groups of respondents by their personality traits and communication characteristics. The analysis yielded two distinct groups. The two groups were named stable-reticent group', and 'neurotic-talkative group' respectivley. Series of multiple regression were carried out in order to investigate differences in the effects of instructor characteristics. The analyses found different patterns of effects between the two sub-groups. The findings suggest that it is necessary to adopt different communication styles and teaching strategies depending on student types.

• Journal of the Korea Convergence Society
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• v.11 no.2
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• pp.93-100
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• 2020

The purpose of this study was to examine the relationship between career decision-making self-efficacy, character strength, and gratitude as a factor influencing the happy life of adults. Subjects were 89 adults in university and graduate school. SPSS 23.0 and PROCESS Macro were used for data analysis. Significant correlations were found between career decision-making self-efficacy, character strength, gratitude, and happy life. The direct effect of career decision-making self-efficacy, an independent variable, on happy life, a dependent variable, was not significant. Character strength and gratitude, which are mediators, were significant. Therefore, the indirect effect and the total effects showed significant results. Career decision-making self-efficacy does not directly predict a happy life, but if it mediates character strengths and gratitude, it means that a happy life can be predicted.

• Journal of the Korean earth science society
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• v.26 no.7
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• pp.611-623
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• 2005

The purpose of this study is to explore the effects of self-directed field learning practices on student’s academic achievement and self-directed learning characteristics regarding the level of learning ability. To conduct this study, 196 students of high school students in Busan were chosen and parted into either the experimental group (98 students) or control group (98 students). Each group is classified into three categories: high level (24 students), middle level (50 students), and low level (24 students) according to the level of learning ability by the academic achievement pre-test. The areas chosen for experimenting this study range from Dusong peninsula, Molundae in Saha-gu, Songdo in Seo-gu, Pusan. Then the inquiry-model of self-directed field learning which focuses on learner-centered activity was designed based on theories concerning field learning and self-directed learning, and was applied to the experimental group. In conclusion, this teaching method using self-directed field learning is expected to improve academic achievement in science subject and increase students’ self-directed learning characteristics regardless of the students' level of academic achievement.

• The Journal of the Korea Contents Association
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• v.11 no.12
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• pp.969-975
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• 2011

The purpose of this study is to investigate the effects of learners' self-motivational attitudes, use of instructional function, and understanding of successful learning on achievement in college e-learning classes. The study analyzed 297 college students' questionnaire about their internet learning attitudes based on how they understand e-learning and use various internet functions for their learning achievement. After factor analyses, the results found that there were three major factors such as self-motivational attitude, use of instructional function, and understanding of successful learning out of 15 survey items. Multiple regression showed that the self-motivational factor affects the learning achievement with overall three factors analyses. This result indicates that college e-learning classes should focus on the analysis of learners' self-motivational issues in college e-learning classes. This study suggest that the relationship between learners' e-learning experience and learning achievement should be examined in the near future to show how it affects on learners e-learning class management and their achievement.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.8
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• pp.3436-3443
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• 2012

The purpose of this study was to examine the impact of a sense of classroom community and social presence on learning satisfaction in a cyber learning setting. The subjects in this study were 172 sixth graders in M elementary school in the city of D, who studied in a cyber setting at home. A survey was conducted to gather data, and multiple regression analysis were carried out to determine the influence of a sense of classroom community and social presence on learning satisfaction. As a result, it is found that a sense of classroom community and social presence had a significant correlation to learning satisfaction. A sense of classroom community turned out to affect learning satisfaction. A sense of classroom community are a major variable that should seriously be taken into account in an elementary cyber learning setting in order to boost the learning satisfaction of learners. In the future, the kinds of instructional design that could foster a sense of classroom community is required when cyber learning environments are prepared.

• The Journal of Korean Association of Computer Education
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• v.22 no.5
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• pp.51-65
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• 2019

This study aims to provide educational implications for more strategic online software education by the types of online learning according to learners' self-regulated learning characteristics in the online software education environment and examining the characteristics of each type. For this, variables related to self-regulated learning characteristic were extracted from the log data of 809 students participating in the online software learning program of K University, and then analyzed using hierarchical cluster analysis. Based on hierarchical cluster analysis learner clusters according to the characteristics of self-regulated learning were derived and the differences between learners' learning characteristics and learning results according to cluster types were examined. As a result, the types of self-regulated learning of online software learners were classified as 'high level self-regulated learning type (group 1)', 'medium level self-regulated learning type (group 2)', and 'low level self-regulated learning type (group 3)'. The achievement level was found to be highest in 'high-level self-regulated learning type (group 1)' and 'low-level self-regulated learning type (group 3)' was the lowest. Based on these results, the implications for effective online software education were suggested.

• Journal of The Korean Association For Science Education
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• v.24 no.2
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• pp.216-225
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• 2004

Cognitive conflict plays a very important role towards conceptual change in science education. Many research were conducted on the topic, but they were limited and failed to determine the effectiveness of cognitive conflict strategies for conceptual change on science instruction. It is worth noting that the levels of cognitive conflict varied the same given situation. Besides, the conceptual change resulted in different forms, despite the same level of cognitive conflict. Assuming that one explanation could be found in the learners' characteristics, this study investigated the cognitive conflict and scientific conceptual change by learners' characteristics of middle school students. A proper understanding of the cognitive conflict will help science teachers to apply effectively the strategies towards science conceptual instruction. In this study, learners' characteristics are 'intelligence', 'cognitive level', 'general grade of science subject', 'cognitive style', 'personality', and 'attitudes related to science'. The results says; the intensity of cognitive conflict correlated with students' personality (reflectiveness) and attitudes related to science, and conceptual change correlated with intelligence and cognitive level.

• The Journal of Korean Association of Computer Education
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• v.6 no.2
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• pp.81-93
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• 2003

The purpose of the study was to explore the potential of the Social Network Analysis as an analytical tool for scientific investigation of learner-learner, or learner-tutor interaction within an e-Learning environment. Theoretical and methodological implication of the Social Network Analysis had been discussed. Following theoretical analysis, an exploratory empirical study was conducted to test statistical correlation between traditional performance measures such as achievement and team contribution index, and the centrality measure, one of the many quantitative measures the Social Network Analysis provides. Results indicate the centrality measure was correlated with the higher order learning performance and peer-evaluated contribution indices. An interpretation of the results and their implication to instructional design theory and practices were provided along with some suggestions for future research.

• 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".

• Korean Journal of Culture and Social Issue
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• v.14 no.1_spc
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• pp.187-221
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• 2008

Although academic interest, the intersection of cognition, emotion, and motivation, is a primary goal of learning and mediates the effects of learning, the present learning environment is full of impeding factors which undermine learner's interests in learning situation. The purpose of this study is to examine current state of academic interests of Korean students and to identify several potential causes of developmental declines in academic interests. It has been consistently found that academic interests in various school subjects decrease with age and grade in school. Three potentially contributing factors to the observed loss of academic interests are mainly discussed: deprived autonomy, severe competition, and normative evaluation. Based on theories on interest and motivation, and empirical findings, various prescriptions are also suggested for designing an interest-based learning environment in order to trigger and enhance learner's academic interests.