• Journal of The Korean Association of Information Education
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• v.14 no.3
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• pp.341-353
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• 2010

The purpose of the present study is to verify the structural relationship among on-line task value, university support, satisfaction, learning persistence in Cyber University. For this study, W cyber university in Korea was chosen to conduct web survey. A hypothetical model was proposed, which was composed of on-line task value, university support as exogenous variables, satisfaction, learning persistence as endogenous variables. And satisfaction have been suggested as intervening endogenous variables. The result of this study is as follows: First, on-line task value and university support affect satisfaction. Second, university support and satisfaction affect learning persistence. Lastly, satisfaction mediated on-line task value, university support and learning persistence.

• The Journal of the Korea Contents Association
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• v.21 no.4
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• pp.14-25
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• 2021

The purpose of this study is to explore what are the interactive factors of synchronous online education in university and identify the level of interaction. This study used mixed research method. As a result of the interaction level, it was recognized that face-to-face education could be more interactive than synchronous online education. Synchronous online education could have better interactive between instructor and learner, and among learners than asynchronous online education. Factors which influencing the interaction were as follows: small group activities and scaffolding, diversification of communication channels and integration of learner's question in learning content. Detrimental elements were distance felt between instructor and learners, low intimacy among learners, content-focused lecture, restrictions on non-verbal communication, unstable systems and misusing microphones. The necessary factors to promote interaction are planning interactive class activities, etc. Based on the results, it was to suggest what kinds of efforts are needed to make interaction more effective in terms of teaching and learning method & activity, tool & system, and environment.

• Journal of Korean Library and Information Science Society
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• v.53 no.3
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• pp.263-285
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• 2022

This study presented the factor analysis on constructing the new factors affecting the middle school students' online learning behaviors from the questionnaires employed among middle school students. A total of 204 students participated and the data were collected in South Korea. The sample of middle school ninth-grade students was selected and used through purposive sampling. Findings from the factor analysis provided evidence for the eight-factor solution for the 35-items accounting for 66.15% of the shared variance. A wide range of factors has been considered to identify students' online learning behaviors. The appropriate experience and use of e-learning in the middle school period is also important as it will be a critical stepstone for future education. This research provides information that has been taken into account for advancing online learning to enhance the quality of e-learning systems for middle school students. The study results provided eight new factors affecting the middle school students' online learning behaviors; that is 1) communication using social media as a learning tool, 2) intention to share information using ICT, 3) addiction of technology, 4) adoption of technology, 5) seeking information using ICT, 6) use of social media learning, 7) information search using ICT, and 8) immersion of technology. This study confirmed that middle school students prefer communication using social media as a learning tool, and value intention to share information using ICT for the most part. The data obtained based on factor analysis can highlight the online learning behaviors towards a mixture of social media learning and ICT to ensure a new educational platform for the future of e-learning. This research expects to be useful for both middle schools of online learning to better understand students' online learning behaviors and design online learning environments and information professionals to better assist students who particularly need digital literacy.

• Proceedings of the Korea Information Processing Society Conference
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• 2005.11a
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• pp.817-820
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• 2005

온라인 교육은 오프라인 교육의 한 가지 방식의 교수방법에서 탈피하여 테크놀로지를 이용하여 교육의 효과를 높일 수 있는 구체적인 대안이 될 것이라고 예측되었다. 하지만 최근 들어, 사람이 아닌 PC와 의사소통을 해야 하기 때문에 집중력을 확보하기가 어렵고 인간미가 없다는 점등의 문제가 지적되고 있다. 이 문제점을 해결하기 위해서 교수자들은 온라인 환경이 갖는 장점과 오프라인 환경이 갖는 장점을 혼합한 통합교육을 시도하고 있다. 본 본문에서는 학습자들의 학업성취도와 수업만족도를 높이기 위해 온라인 수업과 오프라인 교실수업을 혼합한 통합교육에 멘토링 기능을 추가하여 학습모델 설계 및 학습 지원 시스템을 설계하였다.

• Journal of the Korean Applied Science and Technology
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• v.38 no.2
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• pp.567-578
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• 2021

The purpose of this study was to identify the relationship between growth mindset, grit and self-directed learning ability of nursing students and investigate the factors influencing self-directed learning ability in online education. Data were collected through online surveys; subjects were consisted of 194 nursing students from J University in province C. Data were analyzed based on frequency, percentile, mean, Pearson's correlations, and multiple regressions. Self-directed learning ability, mindset, and grit in nursing students showed significant positive correlations with each other. Grit had the strongest influence on nursing students' self-directed learning abilities, followed by satisfaction for major studies, standard of living, interpersonal relations, and growth mindset; these factors accounted for 38.1% of the total variance in self-directed learning abilities among nursing students(Adj. R²=.381, p<.001). Overall self-directed learning ability can be improved by grit, growth mindset enhancement program.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.07a
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• pp.97-98
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• 2021

학습에 대한 적극적인 참여는 학업에서 중요한 행동이며 높은 학업 참여는 성공적인 학업성취와 밀접한 관계가 있다. 학업 참여는 학자들의 관점에 따라 행동적 참여, 정서적 참여, 인지적 참여로 구분된다. 행동적 참여는 학생들이 실제 학습활동과 과제 수행에 어떻게 참여하는가로 정의한다. 그러나 온라인 학습 환경에서는 학생들의 학습활동을 평가하는 데 어려움이 존재하여 관련된 연구의 필요성이 대두되고 있다. 본 논문에서는 영상 분석을 이용한 양방향 Convolutional LSTM 모델을 기반으로 온라인 수업 상에서 학습활동 중 하나인 손들기 행동을 인식하는 방법을 제안한다. 제안된 방법으로 학습활동 중 하나인 손들기 행동의 인식 정확도는 88%이다.

• The Journal of the Korea Contents Association
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• v.21 no.11
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• pp.814-825
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• 2021

The purpose of this study is to analyze the effect of teaching presence on academic achievement and learning satisfaction in the university online tutoring learning environment, and to find teaching methods for students' adaption of college life and their reinforcement of learning capabilities. In the study, the relationship between teaching presence, academic achievement and learning satisfaction were analyzed for those who participants in the tutoring program of the Busan D School OO Research Center during the first semester of 2021. As a result of the study, the relationship between teaching presence, academic achievement and learning satisfaction was indicated high correlation in the order of learning management, participation management and content structure of learning activities; the effect of teaching presence on academic achievement and learning satisfaction was found a significant effect in learning management, which is a sub-area of the tutees' learning activities. These results therefore suggest the direction of the operation process and method reflecting teaching presence, and provide an in-depth discussion on the learning management method that can improve the quality of the learner's learning experience in the learning environment.

• The Journal of Korean Association of Computer Education
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• v.18 no.3
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• pp.59-68
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• 2015

The purpose of this study is to analyze the learner's characteristics, and relationship between learning styles and achievements in online programming learning environment. For the analysis, after performing the inspection of learning styles of Grasha-Reichmann for 104 middle and high school students, online programming learning were performed for 12 weeks. First, according to learner's variable, boy was higher than girls in dependent learning style. Middle school student higher than high school student in competitive and avoid learning styles. Independent and participant learning styles show a significant difference in achievement level. Analysis of the relationship between learning styles and achievements show that independent(r=.253, p<.01) and participant(r=.303, p<.01) have the positive correlations. As a result, independent and participant learning styles are confirmed to be related with achievements. In addition, we analyzed each learning style characteristics by writing survey of the impression of the learners by main learning styles, through which we could derive teaching and learning strategies for the online programming by learning styles.

• Journal of KIISE:Computer Systems and Theory
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• v.33 no.12
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• pp.885-893
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• 2006

The Bayesian network(BN) has emerged in recent years as a powerful technique for handling uncertainty iii complex domains. Parameter learning of BN to find the most proper network from given data set has been investigated to decrease the time and effort for designing BN. Off-line learning needs much time and effort to gather the enough data and since there are uncertainties in real world, it is hard to get the complete data. In this paper, we propose an online learning method of Bayesian network parameters from incomplete data. It provides higher flexibility through learning from incomplete data and higher adaptability on environments through online learning. The results of comparison with Voting EM algorithm proposed by Cohen at el. confirm that the proposed method has the same performance in complete data set and higher performance in incomplete data set, comparing with Voting EM algorithm.

• Journal of The Korean Association of Information Education
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• v.17 no.4
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• pp.507-513
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• 2013

The purpose of this paper is to compare the learning effectiveness of autonomous learning between on-line cyber learning using Internet media and off-line learning using printed media. In this study, each group is provided with the same learning contents and the same learning conditions. For autonomous learning the results revealed a significant difference between on-line cyber learning being not as effective as off-line learning. In order to improve the effectiveness of on-line cyber learning the negative aspects have been identified. These findings will help to improve the development of on-line learning effectiveness.