• The Journal of Korean Association of Computer Education
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• v.18 no.3
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• pp.69-78
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• 2015

This study aims to analyze differences in the social presence of instructor by instructor's social intervention, the effects of the social presence of instructor on learning satisfaction, and learner characteristics related to the social presence of instructor. Data including subjects' demographic information, interactions, social presence of instructor, social presence of the course, and learning satisfaction were collected from 119 adult learners in an online university in Korea. The main findings of this study are as follows. First, the social presence of instructor was higher in the higher-aged group or active group on intranet message board than the lower-aged group or inactive group on the board. Second, instructor's social intervention increased the level of perceived social presence of instructor. However, the active group on the board has shown the highest level of perceived social presence of instructor, without instructor's social intervention. Third, there was a high correlation between instructor's social intervention and the social presence of instructor, while the variables affecting learning satisfaction were the social presence of instructor and social presence of the course. From the results of this study, it is suggested that instructors' social interventions be provided systematically for those who are not active in social interaction to enhance their learning satisfaction.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.11
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• pp.443-454
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• 2020

The purpose of this study is to propose a structural theoretical model that can explain the learning flow of online distance education participants and to clarify the structural causal relationship among related variables that affect the learning flow of cyber university learners. Study results found a modified final model with a statistically significant fit based on the structural research model proposed in this study explained the learning flow of cyber university learners. Second, as a result of verifying the relationship between learning motivation and learning flow of cyber university learners, it was found that intrinsic motivation had a significant positive effect on learning flow. Third, as a result of the empirical verification on the relationship between academic self-efficacy and learning flow of cyber university learners, it was found that academic self-efficacy had a significant effect on learning flow. Fourth, as a result of empirical verification on the relationship between self-directed learning and the learning flow of cyber university learners, it was found that the learner's self-directed learning ability had a significant effect on learning flow. Such research results can be used to suggest a strategic direction for successful settlement and diffusion of a new paradigm of online non-face-to-face distance education, which has recently attracted attention.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.7
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• pp.399-405
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• 2020

This study examined the effect service learning combined with self-directed study had on transferring skills from the university classroom to their practical application in local community centers. The subjects of this study were students who took service learning classes from September 1, 2019 to December 28, 2019. The research question in this paper is 'What is the relationship between service learning-based general classes and self-directed learning?'. That is, how do service learning-based general classes affect sub-elements of self-directed learning? We then tried to determine how the variables of individual learners can affect self-directed learning ability. The results showed that autonomy and problem solving were the greatest at r=.66. Openness and self-assessment (r=.60), autonomy and self-assessment (r=.55) had significant correlation. Learner autonomy had a significant correlation with facilitation and collaboration of service learning (**p<.01). According to this result of the study, it is possible for learners to deepen what they have learned at school and to practice and gain experience through community service. Further, practical problem solving and self-assessment through reflection are possible. Learners were able to inspire responsibility as members of society and increase self-esteem as democratic citizens.

• The Journal of the Korea Contents Association
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• v.17 no.11
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• pp.354-363
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• 2017

The purpose of this study sought to analyze the achievement of educational training of IS-Geo's (International School for Geoscience Resources; IS-Geo's) according to the structural relationships between these components by incorporating variables and those that affect learning outcomes from the Learning ecological perspective. Therefore, from January 2014 to December 2015, data analysis was conducted based on the data collected by the questionnaire for class satisfaction, which was conducted after the operation of the educational training program. The principal result is as follows. First of all, Interventions that affect learning outcomes from the learning ecology perspective have resulted in internal factors of both learning motivation and learning development, intermediate factors of both contents of education and learning curriculum, external factors of both learner support and quality of instructors. The structural relationships between the designed factors of performance indicators of interdisciplinary achievement and sub-factors have been influenced in the structural implications of internal factors, intermediate factors, and external factors that affect the learning outcomes of educational trainees who participated in the educational training programs of IS-Geo's. Also, internal factors, intermediate factors, and external factors have directly affected learning outcomes for educational trainees.

• Journal of Science Education
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• v.42 no.2
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• pp.242-255
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• 2018

Recently, flipped learning has been paid much attention as one of the improvement methods of teaching and learning at university level. Few studies investigated the effects of flipped learning in general physics classes. However, in order to be successfully established and spread new attempts such as flipped learning, it is necessary to investigate in detail the effect of flipped learning and the way it is perceived by students in accordance with other variables such as student's background and characteristic. In this study, we investigated differences in students' perception on the flipped learning and their achievement according to their background and characteristic in flipped-learning-based introductory physics course in which class hours are divided into lecture and group problem solving equally. Students' achievement was more influenced by their readiness before the beginning of the semester than their time consuming for learning during the semester. Students generally had a very positive perception of the new way of flipped-learning-based physics teaching. However, students of insufficient prior learning, or relatively not-hard learner agreed with careful selection of subjects rather than the overall expansion of flipped learning.

• Journal of The Korean Association of Information Education
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• v.23 no.5
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• pp.481-489
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• 2019

In order to explore the learning attitude of the learners and the effects of conscious learning attitudes on academic achievement in On-line education system of open high school, we analyze the log data of 2,965 first graders who studied English, Math, Integrated Society and Integrated Science during the first semester of 2018. This study examines the learning status according to the learner's background variables, and analyzes the number of lessons per hour, learning progress rate, learning period, learning start month, and formative evaluation results for each class. In addition, to verify the effects of conscious learning attitude on academic achievement, skewness and kurtosis are calculated by using learning frequency values for each class. As a result, in almost all fields, the average number of lessons per class, study duration, progress rate, and grades, women are higher than men. In addition, the older ones are, the higher they are and the Seoul area is higher than the other area. The average learning period is 2~3 months, and the longer the learning period, the higher the formative evaluation score. Lastly, even though the number of learning is lower than that of learners who concentrate on a certain period of time, the formation scores of learners who learn consciously are higher.

• 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 Digital Convergence
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• v.17 no.8
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• pp.15-26
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• 2019

This study was to explore the domestic research trends, and education and operation cases concerned with Korean colleges in the fourth industrial revolution era. It was conducted through the analysis of 114 academic papers registered to the Korea Research Foundation, the newspaper articles, and the main 4-year university homepage from 2016 to April 2019. The results was as follows. Research papers have been increasing since 2016; research were conducted by humanities and social sciences as well as engineering academics interesting in research topics such as technologies, curriculum, and teaching and learning by mainly using quantitative research, literature research. As for the college education, reorganization of the undergraduate and majors centered on the science and engineering field, teaching and learning related with learner's participation and performance, and provide efficient academic affairs management and career guidance using Chatbot or Cloud computing. Industry-academia cooperation was focuses on the field of science and engineering. In future research, it is necessary to explore the research on college students' career and employment, the research on academic affairs management and infrastructure, the relational research considering the variables among college students and faculties, and the qualitative and mixed method approach.

• Journal of the Korean Association of Geographic Information Studies
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• v.24 no.1
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• pp.92-111
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• 2021

As fine dust negatively affects disease, industry and economy, the people are sensitive to fine dust. Therefore, if the occurrence of fine dust can be predicted, countermeasures can be prepared in advance, which can be helpful for life and economy. Fine dust is affected by the weather and the degree of concentration of fine dust emission sources. The industrial sector has the largest amount of fine dust emissions, and in industrial complexes, factories emit a lot of fine dust as fine dust emission sources. This study targets regions with old industrial complexes in local cities. The purpose of this study is to explore the factors that cause fine dust and develop a predictive model that can predict the occurrence of fine dust. weather data and fine dust data were used, and variables that influence the generation of fine dust were extracted through multiple regression analysis. Based on the results of multiple regression analysis, a model with high predictive power was extracted by learning with a machine learning regression learner model. The performance of the model was confirmed using test data. As a result, the models with high predictive power were linear regression model, Gaussian process regression model, and support vector machine. The proportion of training data and predictive power were not proportional. In addition, the average value of the difference between the predicted value and the measured value was not large, but when the measured value was high, the predictive power was decreased. The results of this study can be developed as a more systematic and precise fine dust prediction service by combining meteorological data and urban big data through local government data hubs. Lastly, it will be an opportunity to promote the development of smart industrial complexes.

• The Journal of the Korea Contents Association
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• v.21 no.8
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• pp.201-212
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• 2021

Curriculum content interest has been studied in terms of teachers rather than students in ways that help revise curriculum and develop textbooks. In this study, 227 first-year high school students were interested in what they learned in middle school and what they learned in high school, focusing on meaningful assumptions and contents for middle school and high school students. We analyze this difference in interest by gender and achievement level. According to the research results, first-year high school students, who are in the middle and high school transition period, have relatively high interest in themselves, such as youth development, compared to family needs or interest in family life. There were no gender differences, but there were differences in content interest depending on the level of achievement. This means that the content interest should be interpreted by considering various variables such as the development of learners, the situation of learners in the school-level transition period, and the entrance examination of universities. The results of this study will provide implications for future curriculum revisions, textbook development, and curriculum considerations, and will need to be carefully analyzed and utilized based on a learner-centered perspective.