• The Journal of the Korea Contents Association
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• v.9 no.7
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• pp.371-378
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• 2009

A lot of learning systems are applying and verify evaluating the item difficulty to increase learner's learning effect. But most of this methods ware calculated the item difficulty when it analyze the learning result before or after learning. So, it is hard to support learning contents with changing item difficulty during learning to learner. In this research, we proposed the method that system can support learning contents to next learning to fit leaner's level immediately as apply to calculate item difficulty during the proceed learning. Through this method, learner could supported learning contents by calculated difficulty through pre-test and it caused this method was helped learner to increase learning effect.

• The Journal of the Korea Contents Association
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• v.10 no.1
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• pp.477-485
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• 2010

Web based learning systems are operating with various and lots of learning contents. But it is hard to construct learning contents to fit learners when they select learning contents for learning. In this paper, we proposed the recommendation method that can support the learning contents as calculate learner's preference using the learning history information of learner's profile when learner design and compose learning course. In the applying result of this method, we've selected testing learner group and was able to know it can help to learner processing learning by themselves as we've got great learning satisfaction after test.

• Journal of Digital Contents Society
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• v.9 no.2
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• pp.225-233
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• 2008

Rapid advancement information and communication technologies has introduced various dimension of e-Learning environment such as u-learning(ubiquitous learning), m-learning(mobile learning) and t-learning(television learning). These technologies enabled learners to access learning contents through variety of devices with more flexibility and consistency. In order to implement learning through these multiple environments, basically it is necessary to acquire and process the platform information that contains properties and status of the web-accessing devices. In this study, we introduce the design and implementation of a Platform Analyzer Model which is essential for learning systems that support multi-platform environment. We also present a Interactive DTV-Centered multi-platform learning environment framework using PC, PDA or Mobile phone. Finally, we will discuss the possibility of the multi-platform learning environment with sample scenario and contents.

• The Journal of the Korea Contents Association
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• v.5 no.2
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• pp.29-37
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• 2005

Korean cyber universities now provide higher education service to learners but the courses suffer major limitations of low quality and inefficient format of their learning contents. Because of the absence of any standard authoring strategy for learning contents, tutors develop their own courseware with various formats and content structures. In addition, the lack of association between content learners causes them difficulties in finding and reusing related contents. In this paper, we propose an authoring strategy foradvanced learning contents based on SCORM and ontology. Our strategy improvesthe reusability and associativity of learning contents. We demonstrate the effectiveness of our proposed authoring strategy through developing learning contents such as understanding of digital contents.

• Proceedings of the Korea Contents Association Conference
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• 2009.05a
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• pp.45-50
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• 2009

The educational exchange through e-learning is working very well in such case as develop e-learning, development of various learning tools, cooperative practical use of e-learning contents, etc. However because there were no considerations of LMS(Learning Management System) interconnection when each systems were developed, the exchange through e-learning is starting to raise a problem. Especially the exchange through e-learning between university produced problem for a variety of reasons by absence of direct exchange in every case such as communication of students information, communication of lecture information, etc. Hence in this thesis, I will present designed model about efficient LMS interconnection through analysis case of exchange through e-learning and deduce problem. In the first place I define essential part for study such as lecture establishment data, lecture data, user data, class data, student learning tracking to interconnection data, then constituted data interconnection table used view by data interconnection prcess. By experiment result, the accessibility between students and professors was more convenience, and decreased work process by less data exchange. Henceforth there are researches in development of various essential parts for study, considered security of LMS interconnection.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.1
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• pp.203-208
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• 2011

Most of the online learning systems provide information that is based on the item difficulty what is custumized to learner. And the same learning process is performing to the same learning level learners. But, the degree of understanding of the same learning contents can be different even if the learner's level is same. Therefore, it is difficult to represent an effective learning experience because the learning is progressed by the determined difficulty of learning and the learning process even thought the provided content is difficult to understand. So we can control the learning difficulty during learning in order to escape from a uniform learning that online learning is provided. In this paper, we proposed a contents reorganization method for Self-Directed Learning. In this way, learners can understand their own level and customize the difficulty of learning. And then we expect the higher learning effect and satisfaction degree.

• Review of Korea Contents Association
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• v.16 no.3
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• pp.42-47
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• 2018

• 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 Institute of Information and Communication Engineering
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• v.14 no.5
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• pp.1277-1283
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• 2010

Many e-learning systems adopts SCORM as an e-learning standard. E-learning systems evaluate and apply the learning difficulty in order to improve the studying efficiency. But, it is hard to change the learning difficulty and provide the customized learning contents during studying in SCORM. Because it is difficult to provide the customized contents to learners by changing the learners' level at runtime and to control optional learning. In this paper, we designed and implemented SCORM-based Contents Organization System on learners' level(SCOS) for complementing the SCORM's weakness. SCOS re-evaluates a learner's level whenever the learner's level is changed during learning, and provides customized contents on the learner's level.

• The Journal of the Korea Contents Association
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• v.9 no.11
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• pp.376-390
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• 2009

The objective of this study is to examine the factors affecting adolescents' intention to buy e-Learning web site, expecially focuses on the moderating effect of adolescents's conformity. The main results are as follows. First, teacher's ability, personalized service, easy for service search, interaction between students, service revival for joining e-Learning sites affect intention to buy e-Learning web site through perceptual usefulness, except for entertainment. Second, perceptual usefulness has positive effect on intention to buy. Third, According to conformity, personalized service has different effect on perceptual usefulness. The result shows higher in high conformity group than low conformity group. It means e-Learning companies should focus on reference group or special group to effect their marketing strategy on adolescents. Lately, preceded studies investigated using SERVQUAL or SERVERF which were suit to offline. But, this study found e-Learning factors which are suitable to online. So, the factors and the results are more useful to e-Learning companies.