• Journal of the Korea Society of Computer and Information
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• v.15 no.5
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• pp.67-74
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• 2010

E-learning technology which effectively supports the learning methodologies between students and professors and which provides location and time benefits to students is being researched now a days. However, E-learning classes produce bad effects comparing with offline classes in learning procedures including scholastic achievements. Bad effects of E-learning system could be proxy attendance, lack of concentration, and bad attitude of students. These environmental problems must be solved first to achieve the advantages of E-learning technology. To get rid of these problems, in this paper, we proposed a mechanism which provides effective learning progress by using face authentication method. This mechanism supervise the student by using real time face recognition which prevents proxy attendance, illegal activities, and student's absences.

• The Journal of the Korea Contents Association
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• v.17 no.5
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• pp.552-564
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• 2017

This study is aimed to overcome the limitation of traditional learning competence and career management system, and conducted to design the function of integrated ePortfolio and the elements of the system for administrative control of curricular and extracurricular program of the university as well as to develop a printout-based prototype in the context of S-university. Researchers deducted the main menus and functions of the integrated ePortfolio by two experts validification procedures, searched for the subfunctions, and secured their validity. Mainly 6 elements of integrated ePortfolio system are designed as follows: basic information, learning and competence management, course and career management, portfolio management, and community. Among these, the three elements of learning and competence, course and career, and portfolio management are assessed as excellent and differentiated from traditional ePortfolios. The study also developed a printout-based prototype of ePortfolio system and provided authentic guide for the ePortfolio system. At the same time, the result of the study contributed to increasing the sense of the developmental direction of the ePortfolio in the institute.

• Journal of Service Research and Studies
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• v.11 no.2
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• pp.37-66
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• 2021

This study aims to provide self-development opportunities to hair salons service workers through e-learning and provide the foundation of sustainable hair salons management by cultivating good talents to hair salons service business executives. In particular, the factors affecting e-learning achievement are identified according to learner characteristics to see whether these factors affect the satisfaction of e-learning learners and also affect the performance of management. The results of the study are summarized as follows. As a result of hypotheses testing on the relationship between e-learning learning environment and e-learning satisfaction, it was found that the higher the level of e-learning content quality is, the higher the satisfaction of e-learning is, the higher the satisfaction of e-learning is, and that the higher the quality level of the support infrastructure is, the higher the satisfaction of e-learning is. The results of the hypotheses testing on the moderating effect of learner factors showed that the influence of the quality of the support infrastructure on the e-learning satisfaction differs according to the level of the learner's goal consciousness. However, it was found that the influence of content quality on e-learning satisfaction according to the level of the learners goal awareness, the influence of content quality on e-learning satisfaction according to the level of the aggressiveness of the learners learning attitude, and the influence of the quality of the support infrastructure on the e-learning satisfaction according to the level of the aggressiveness of learners learning attitude were found to identically demonstrate no moderating effects. The results of hypotheses testing on the relationships among e-Learning performance show that the higher the satisfaction of e-learning was, the higher the customer orientation was, and the higher the satisfaction of e-learning was, the higher the contribution of management performance was, and the higher the customer orientation was, the higher the contribution of management performance was. The implications of this study are as follows. First, the actual path of realiting e-learning performance could be identified that is this study provided organizational decision makers involved in the hair salons service operations with practical guidance for the introduction and expansion of successful educational systems. Second, the e-learning environment derived from the theoretical background is different from the e-learning environment required by the learners.

• Proceedings of the Korean Society of Computer Information Conference
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• 2015.01a
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• pp.331-333
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• 2015

본 논문에서는 최근에 외국어로서의 한국어 학습 수요가 증가하고 있는 현실을 반영하여, 한국어를 외국어로 사용하는 한국어 수요자의 접근성을 고려한 초보적인 한국어 읽기 학습을 지원하는 학습지원 시스템을 설계하여 제시한다. 우리나라는 경제개발에 성공하고 주요 기간산업에서 세계적인 기업이 탄생하여 세계적으로 관심을 끌고 있다. 이런 현상에 따라서 결혼 이민자는 물론 국내 산업체에 취업하기 위해 입국하는 동남아시아를 중심으로 하는 근로자는 물론 첨단산업에 종사하기 위해 고학력의 외국인들이 많이 입국하고 있으며, k-pop을 비롯한 '한류'에 대한 관심이 고조되어, 다양한 국가의 다양한 계층에서 한국어에 대한 관심이 증가하고 있다. 이와 같은 현실에 비하여 특히 경제력과 학습수준이 낮은 외국인들은 정규적인 교육의 기회를 갖지 못하게 되어 여러 가지의 문제를 야기하고 있다. 이런 현실을 반영하여 초보적인 한국어 학습, 특히 읽기 학습을 지원하는 한국어 이러닝 시스템을 설계하여 제시하였다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.05a
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• pp.719-720
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• 2015

This paper propose the method of U-learning system which is the $21^{th}$ core IT fields of the knowledge based information-oriented society, which is digital convergenced ubiquitous with e-learning. Specially, for the future it will be expected and prospected new media core in digital life age using DMB smart phone.

• The Journal of the Korea Contents Association
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• v.8 no.5
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• pp.276-286
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• 2008

In this paper, we introduce an adaptive e-Learning system for engineering mathematics which is based on computer algebra system (Mathematica) and on-line authoring environment. The system provides an assessment tool for individual diagnosis using Bayesian inference network. Using this system, an instructor can easily develop mathematical web contents via web interface. Examples of such content development are illustrated in the area of linear algebra, differential equation and discrete mathematics. The diagnostic module traces a student's knowledge level based on statistical inference using the conditional probability and Bayesian updating algorithm via Netica. As part of formative evaluation, we brought this system into real university settings and analyzed students' feedback using survey.

• Convergence Security Journal
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• v.5 no.2
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• pp.37-42
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• 2005

Development of Information Technology and knowledge information society transfer brought huge change of education training field. According as Ubiquitous society approaches, e-Learning will be evolving by u-Learning. This presages in other form with present that professor-learner environment may change. This study proposes and embodied administration method of various studying contents by development of Learning environment, And through operation platform analysis, proposed LMS that can do practical use of contents efficiently.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.8 no.6
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• pp.133-139
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• 2008

Cyber university can easily study the lecture only press the couple of mouse click or keyboard button anywhere and anytime, if you have a computer. Many people believe that virtual university can save time and improve learning. To check How many students learn which selected some of the virtual university courses, instructor must know how to the understanding students and find out their difficult problems. Without checking this condition, it will be a very difficult and boring virtual university course. In this paper, we introduce the intelligent learning system. It has a full duplex direction that teaches understanding students and not understanding students. The computer simulation results confirmed that a full duplex virtual learning system has been proven to be much more efficient than one way direction which unfortunately does not consider to understanding problems.

• The KIPS Transactions:PartA
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• v.10A no.3
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• pp.269-278
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• 2003

The popularity of the web based education has come the need for variety learning methods and for business to exploit the web not only for interoperability but also standardization. This way of standardization has come to researched for environments, contents and practical uses in ISO. The IEEE has special]y established five technical classes for LTSA which provide advanced e-learning environments. Feedback functions would not be supported and specified in standardization for Query Answer on LTSA. In this paper, we describe the query and answer model which we have developed on layer three of LTSA. We develop the redefined model for transforming data flow oriented into object or component based model. We have developed the Query Answer Metadata (QAM) based on Learning Object Metadata (LOM). We design and showed thing a prototyping implementation the Query Answer Learning Tool (QALT). We have used the QALT to address the problem of efficiency of web based education. We also used it to develop the related tools with quality and productivity.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.240-243
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• 2021

Recently, there have been research results of applying Big data and AI technologies to the evaluation and individual learning for education. It is information technology innovations that collect dynamic and complex data, including student personal records, physiological data, learning logs and activities, learning outcomes and outcomes from social media, MOOCs, intelligent tutoring systems, LMSs, sensors, and mobile devices. In addition, e-learning was generated a large amount of learning data in the COVID-19 environment. It is expected that learning analysis and AI technology will be applied to extract meaningful patterns and discover knowledge from this data. On the learner's perspective, it is necessary to identify student learning and emotional behavior patterns and profiles, improve evaluation and evaluation methods, predict individual student learning outcomes or dropout, and research on adaptive systems for personalized support. This study aims to contribute to research in the field of education by researching and classifying machine learning technologies used in anomaly detection and recommendation systems for educational data.