• Journal of the Korea Society of Computer and Information
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• v.9 no.3
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• pp.115-120
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• 2004

As a part of working on development of the learning management system, a adaptive learning management system which is able to provide individual learner with different learning contents or paths customized to learner's learning behaviors by expanding SCORM was proposed in this dissertation. In terms of instructional technology interrelated with technology of CBI and ITS, new learning environments and learner preferences were analyzed. A related laboratory system was implemented by packaging a process on how to expand the meta data for contents and a process on how to utilize the web-based learning contents dynamically. In order to evaluate the usability of the implemented system, a sample content was provided to some selected learners and their learning achievement resulted from the new learning environment was analysed. A result of the experiment indicated that the adaptive learning management system proposed in this dissertation could provide every learner with the different content tailored to their individual learning preference and behavior. and it worked also to promote the learning performance of every learner.

• The Journal of Information Systems
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• v.18 no.3
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• pp.1-25
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• 2009

As many universities introduce e-Learning classes as formal courses, numerous research topics relating to c-Learning such as, defining e-Learning, identifying factors affecting successful e-Learning deployment and examining relationships between the factors in e-Learning classes need to be focused on. However, most researches thai have been undertaken only consider the positive side or right functional dimension. This can result in e-Learning dissemination at universities being overlooked. In accordance with this indispensability, the negative factors, which are potentially inherent in e-Learning learner's perception and affect personnel e-Learning acceptance in university classes need 10 be acknowledged. The purpose of this study was to identify the negative factors affecting personnel e-Learning acceptance and to analyze the interrelation among the factors in this research model. The two independent variables avoidable convenience and reliant convenience, based on pilot test results, and self-efficacy and perceived playfulness, based on the relevant literature, are used to examine the research model. The research problem was tested with data collected from 446 respondents in 12 universities. This study developed and empirically analyzed a model representing the relationship by using the Structural Equation Model. The major findings of this study are, firstly, that the higher reliant convenience is negatively affecting the degree of system use and learner satisfaction, whereas avoidable convenience is only affecting the learner satisfaction. Secondly, the higher self-efficacy and stronger perceived playfulness affects the degree of system use as well as learner satisfaction. Finally, the degree of system use affects the learner satisfaction.

• The Journal of Korean Association of Computer Education
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• v.13 no.6
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• pp.69-77
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• 2010

This purpose of this study is to investigate the learner's perception and learning satisfaction on e-learning in the university blended learning environment. The participants in this study were signed up for Health Education. Collected data were analyzed by using the SPSS program. The results are as follows. The average of learner's perception and learning satisfaction on e-learning was higher than the middle. the most of learners recognized that e-learning is efficient to cultivate computer usage ability. Relation between learner's perception and learning satisfaction on e-learning showed a positive correlation. Learning satisfaction could be influenced by learner's perception on e-learning. Considering all these results, the blended learning which mixs face-to-face learning and e-learning is meaningful.

• Journal of Information Technology Applications and Management
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• v.14 no.2
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• pp.27-47
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• 2007

In an effort to apply IT to practices of learning, universities are trying to implement e-Learning systems and expanding the extent of their usage. Nowadays, e-Learning systems are not only used for conducting web-based distance learning, but also used for supporting traditional classes education by encouraging communication and information sharing between instructors and learners or among the learners. There is relatively lack of studies on the exploitation of e-Learning systems in the traditional classes, in comparison with a distance education. Specifically, howe-Learning systems could support the traditional class and/or which benefits e-Learning systems could offer in the classes are among the important issues. In this study, we suggest that e-Learning systems would be the rich media to communicate and exchange information among people who participate in a class. We derive key variables like media richness and media experience from Media Richness Theory and from Channel Expansion Theory. Moreover, Media usefulness and Satisfaction of a learner with e-Learning system is drawn from the literature on IS success. We examine the effects of perceived media richness, media usefulness, and media experience on leaner's satisfaction with e-Learning systems. In addition, we also investigate learner's media usefulness perception which is positively related to media richness and media experience. Finally, learner's experience with e-Learning systems affects perceived media richness. Based on the results of an empirical test. we first suggest that perceived media richness with e-Learning systems contributes to increase media usefulness and satisfaction of a learner. Second, media experience is an important predictor of media richness and media usefulness perception. Consequently, the result can support Channel Expansion Theory. Finally, media usefulness perception affects learner's satisfaction with e-Learning systems.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.10a
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• pp.241-243
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• 2014

In this study, that by applying the algorithm of collective intelligence in helping to select the teaching methods and learning methods of learner and teacher, develop a content recommendation system, the teacher and the learner promote effective learning, I have intended to And for this reason can be applied to education recommended system to be applied to a movie or shopping mall recently, at the time of selection, it is appropriate in accordance with the state, such as the level of the learner, learning environment, learners the theme of teaching and learning, and to provide a teaching method and learning method, the learner can to find the learning method appropriate for the user, and a more efficient, Professor system that can save time to design the teaching learning process I developed, The utility and accuracy of the learning content recommendation system developed finally, after the data is accumulated in the use of a continuous schedule of the learner and a teacher, would need to be validated through the rating.

• Journal of the Korea Convergence Society
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• v.12 no.2
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• pp.51-60
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• 2021

Due to the growth of digital media technology, there is increasing demand of personalized education based on context data of learners throughout overall education area. For music education, several studies have been conducted for providing appropriate educational contents to learners by considering some factors such as the proficiency, the amount of practice, and their capability. In this paper, a technique has been defined to recommend the appropriate music scores to learners by extracting and analyzing the practice data and chord data. Concretely, several meaningful relationships among chords patterns and learners were analyzed and visualized by constructing the learners' profiles of proficiency, extracting the chord sequences from music scores. In addition, we showed the potential for use in personalized education by analyzing music similarity, learner's proficiency similarity, learner's proficiency of music and chord, mastered chords and chords sequence patterns. After that, the chord practice programs can be effectively generated considering various music scores using the synthetically summarized chord sequence graphs for the music scores that the learners selected.

• International Journal of Contents
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• v.10 no.4
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• pp.48-52
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• 2014

The purpose of this study was to examine 30 logical connectors in the essay writing of Korean university students for comparison with the use in similar types of native English writing. The main questions addressed were as follows: Do Korean EFL students tend to over- or underuse logical connectors? What types of connectors differentiate Korean learners from native use? To answer these questions, EFL learner data were compared with data from native speakers using computerized corpora and linguistic software tools to speed up the initial stage of the linguistic analysis. The analysis revealed that Korean EFL learners tend to overuse logical connectors in the initial position of the sentence, and that they tend to overuse additive connectors such as 'moreover', 'besides', and 'furthermore', whereas they underuse contrastive connectors such as 'yet' and 'instead'. On the basis of the results of this study, some pedagogical implications are made concerning the need for teaching of the semantic, stylistic, and syntactic behavior of logical connectors.

• The Journal of the Korea Contents Association
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• v.20 no.8
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• pp.65-74
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• 2020

The purpose of this study is to analyze relationship between general characteristics of learners and learner-related variables such as learning flow, self-directedness and learner satisfaction, thereby find out effective online teaching methods and provide the necessary basic data for improving learning satisfaction. A total of 473 students of medical school in C region were the subjects of this study and surveyed for research in a self-reporting form. According to the study, proportion of 31 to 40 minutes (38.9%) of learning engaged time was the highest, 65.5% of the learners studied regularly, more than those who studied irregularly(34.5%), and the higher the grade, the higher the percentage of learners who studied regularly. Learning flow averaged 4.03 (±0.86), self-directedness averaged 4.49 (±0.97), and learner satisfaction averaged 4.38 (±1.01). There were significant differences in learning flow, self-directedness and learner satisfaction according to grade, learning engaged time, and learning regularity. the factors affecting learner satisfaction were grade, learning flow, and self-directedness, with 72.5% adjusted R-squared. This study is expected to be used to establish an online learning management system to improve learning satisfaction by identifying variables related to learning satisfaction in the online learning environment of medical students.

• The Journal of the Korea Contents Association
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• v.19 no.10
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• pp.385-396
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• 2019

This study was conducted to explore the characteristics of learner who showed free riding behavior in online collaborative learning. For this, 290 students from three universities in the metropolitan area were studied. The collected data are as follows. Learner characteristics are learning strategy, learning motivation, academic retardation behavior, and learning disposition. Interaction distinguished between frequency and type of message. Interaction levels were collected with frequency. The subjects with less than 5 interaction frequencies were defined as free-riding students. 43 students were classified as free riders. Learner characteristics were analyzed by cluster analysis. As a result, the learner characteristics were divided into five groups. All the free riding students belonged to 4 groups. The learner characteristics of 4 groups are as follows. First, the level of the learning strategy is very low. Second, learning motivation has a high tendency toward performance - oriented approach and high tendency to avoid performance. This tends to deliberately avoid learning. Third, the level of delayed behavior is high. This is deliberately putting off student activities. Fourth, learning tendency is high in academic anxiety, task value, self efficacy and learning belief are very low. This is a lack of confidence in learning.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.1
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• pp.191-201
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• 2023

As Edutech arises which is integrating IT technology into education, many related attempts have been tried on music education area. The focus has been shifted from the teachers to the learners, and this makes the personalized learning emerge. The learner's proficiency is an essential factor to support the personalized learning. The chord fingering is an important technique in piano learning. In this paper, a personalized learning tool for piano chords has been suggested. And then, several utilization ways have been described by analyzing the chords patterns. Specifically, the difficulty of the chords and the proficiency of the learner are derived from the accumulated practicing log data of the users. More effective learning way of the chords has been presented through hierarchical clustering based on chords similarity. Furthermore, the suggested approach where only the practicing log data are used lessens the learner's burden to measure the proficiency and the chord's difficulty without additional efforts like taking tests.