• The Journal of Society for e-Business Studies
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• v.9 no.1
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• pp.61-81
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• 2004

Learning Contents Management System(LCMS) manages the contents and the process of teaming by incorporating the both in a flexible system to help learners to be able to utilize them efficiently. The e-Learning comprises all types of educations based on electronic technologies as well as the Web. The existing e-Learning system is a simple information system providing Web based contents, therefore, it cannot support flexibility for both learners and teachers. The core part of the e-Learning system should be a remote education system which creates bilateral response between the learners and teachers, by providing substantial contents based on the LCMS. In this paper, a new e-Learning system is constructed with reusable modules generated by Component-Based software Development(CBD). Furthermore, creates new contents groups and enables to develop learning courses utilizing the Learning Objects. And also, observing the SCORM standard, lecture contents are designed and prepared to support learners Learners are supported to produce profiles which enables themselves to manage, measure, and evaluate their own capabilities, so that they can develop themselves properly in accordance with their levels, build prototypes for self development. Also a system that comprises all these individual components is suggested.

• Proceedings of the Korea Contents Association Conference
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• 2009.05a
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• pp.1055-1060
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• 2009

In this paper, we design an e-Learning system for the Driver's License Teste studying through the Internet. The proposed system make users to be arrived at the goal for the license in a shorter time by offering learning contents and items according to the item-responses made by the users based on the Item Response Theory. Moreover we design the scheme to give the optimum items and the most necessary content to the user during the learning procedure in the form of concept-based objects. All the items in the problem bank DB maintain their difficulties, discriminations, and guessing parameters as is the case of 3-parameter logistic model. In addition user profile DB stores users' status informations, item responses, and ability parameters. Using these structures and combining agents, we can offer the optimum learning process or dynamic personalized studying structure to the user. We can construct interface agent and content selection and feedback agent with the DB's described above. User can study without any awareness of system operations or personal fitting scheme.

• The Journal of Korean Association of Computer Education
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• v.6 no.4
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• pp.171-180
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• 2003

The recent paradigm of web-based teaching-learning is changing into a direction that analyzes the learning patterns of learners on the basis of learners' ability, aptitude, request, interest, learning history, activity profile, etc. and provides adaptive environment with individual learners The present study analyzed learners' learning patterns using data on learning activities and developed a personalization system that provides learning environment adapted to individual learners. This study customized in three aspects, which are recommendation of learning path, recommendation of interface and recommendation of interaction, through Web mining. The personalization system developed in this study was proved to be effective in improving individual learners' satisfaction with learning in Web-based teaching-learning environment.

• Journal of the Korean Institute of Intelligent Systems
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• v.22 no.5
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• pp.624-630
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• 2012

The peer review learning is a method which improves learning outcome of students through feedback between students and the observation and analysis of other students. One of the important problems in a peer review system is to find proper evaluators to each learner considering characteristics of students for improving learning outcomes. Some of peer review systems randomly assign peer review evaluators to learners, or chose evaluators based on limited strategies. However, these systems have a problem that they do not consider various characteristics of learners and evaluators who participate in peer reviews. In this paper, we propose a novel prediction approach of learning outcomes to apply peer review systems considering various characteristics of learners and evaluators. The proposed approach extracts representative attributes from the profiles of students and predicts learning outcomes using various regression models. In order to verify how much outliers affect on the prediction of learning outcomes, we also apply several outlier removal methods to the regression models and compare the predictive performance of learning outcomes. The experiment result says that the SVR model which does not removes outliers shows an error rate of 0.47% on average and has the best predictive performance.

• Proceedings of the Korean Information Science Society Conference
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• 2006.06b
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• pp.247-249
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• 2006

프로그래밍 언어 실습을 위해 일반적으로 실습 소프트웨어를 여러 대의 PC에 개별적으로 설치하거나, 실습 소프트웨어를 특정 서버에 설치한 후 라이센스를 받아 운영하고 있는 경우에는 접속자의 수를 제한 받게 되는데, 이러한 모든 경우들에는 지정된 장소에서만 실습을 해야 하는 문제점과 실습자 수의 제한 문제점이 있다. 본 논문에서는 실습 소프트웨어 1본을 서버에 설치한 후 인터넷이 가능한 어떠한 장소에서 다수의 학습자가 프로그래밍 실습을 할 수 있도록 웹기반 학습시스템을 개발하였다. 이 웹기반 학습시스템에서 학습자가 인터프리팅 또는 컴파일링, 실행 등을 요청할 때에만 실습 소프트웨어를 점유하기 때문에 접속자 수의 제한 문제를 해결하였다. 뿐만 아니라, 이 웹기반 학습시스템은 실습 효과를 증진시키기 위하여, 예제 프로그램과 그에 대한 동영상 설명, 학습자의 학습 이력, 오류가 발생하였을 때 그에 대한 참고자료 등을 이용할 수 있도록 개발되었다.

• Journal of The Korean Association of Information Education
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• v.15 no.1
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• pp.111-117
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• 2011

Many various researches about the PC execution process monitoring system have studied. Nevertheless, it is hard to find research of a system that multi-PC based each PC can be monitoring and reporting by file type. In this study, it designed and implemented that each PC can be monitoring and reporting by files to a server in multi-PCs' environments. Moreover it can gather and organize informations of reporting. It is expected users can recognize that execution processes are reporting. It causes to reduce execution unnecessary process.

• Proceedings of the Korea Information Processing Society Conference
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• 2003.11a
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• pp.223-226
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• 2003

정보통신기술을 활용한 교수-학습자료가 만들어지고 효율적인 공유 유통을 되기 위해서 국제 표준을 기반으로 하는 메타데이터 구조가 만들어지고 교수-학습자료 분류체계가 정립되었다. 이를 바탕으로 한 교수-학습자료 메타데이터 입력기를 개발하면서 기존의 교육용 컨텐츠 및 메타데이터 입력기의 단점을 SOAP 프로토콜을 적용하여 개선하였으며 사용자 입력항목을 동적으로 구성할 수 있는 XML 환경파일을 관리자가 만들 수 있도록 하였다.

• Journal of the Korean Society for information Management
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• v.26 no.3
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• pp.239-259
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• 2009

The study aims at investigating students' behaviors and perceptions regarding the collaborative learning based group project using the wiki environment. The study utilized Google Sites as a case, and analyzed file unloads, the use of web pages, navigation bars, and comments as well as surveys. The study discusses main characteristics of students' activities in the collaborative learning group project, which are drawn from the analysis of students' behaviors and perceptions. The study also provides implications for improvement of wiki environment to support collaborative learning in education.

• Journal of The Korean Association of Information Education
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• v.7 no.1
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• pp.37-47
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• 2003

A grading system of practical word processor skills is designed and implemented by using HWPML(Hangul Word Processor Markup Language) which is a product of Hangul and Computer Co Ltd. By using HWPML, which is a markup tag structure of Hangul file, Hangul files can be edited in other application programs. Authorized users can make questions. However, only the manager is allowed to register answers to the questions in order to maintain the correctness of grading. The result of test is stored in the database and the statistics on pass or failure can be shown interactively. The number of taking test and scores for each user are stored in the database and they can be accessed to whenever the user wants them. Comments on the test results are provided by the manager so that learners can intensity their weak points.

• The Journal of Korean Association of Computer Education
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• v.7 no.6
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• pp.117-128
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• 2004

Compared with traditional face-to-face instruction, online learning causes learners to experience more severe feeling of isolation and results in higher dropout rate. This is due to the lack of interaction, sense of belonging, membership, interdependency, cooperation among members and social environment that enables persistence in online learning. Therefore, it is very important for grouping e-learning community to lower the dropout rate and eliminate feeling of isolation. In this paper, the research has been done on the inclination test list to be applied for grouping the desirable learning community. And on the basis of this research, the grouping system for e-learning community(GSE) based on intelligent multi agents for an inclination test using homogeneous and heterogeneous items has been developed. GSE system has such properties that construct a personalized user profile by an agent, and then make groupings according to users' inclination. When this system was evaluated, about 88% of learners were satisfied, and they wanted the group not to be disorganized but to be maintained.