• Knowledge Management Research
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• v.9 no.4
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• pp.17-33
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• 2008

This study proposes University 2.0 as a model case of open, flexible, and distributed learning environment for higher education based on theoretical foundations and perspectives. As web 2.0 technologies emerge into the field of education, ways of generating and disseminating information and knowledge have been drastically changed. Professors are no longer the only source of knowledge. Students using internet often become prosumers of knowledge who search and access information through the web as well as publish their own knowledge using the web. A concept and framework of University 2.0 is introduced for implementing the new interactive learning paradigm with an open, flexible and distributed learning environment for higher education. University 2.0 incorporates online and offline learning environments with various educational media. Furthermore, it employs various learning strategies and integrates formal and informal learning through learning communities. Both instructors and students in University 2.0 environment are expected to be active knowledge generators as well as creative designers of their own learning and teaching.

• Journal of KIISE:Databases
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• v.37 no.6
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• pp.285-291
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• 2010

In this paper, we propose a new paradigm of weighting methods for naive Bayesian learning. We propose more fine-grained weighting methods, called value weighting method, in the context of naive Bayesian learning. While the current weighting methods assign a weight to an attribute, we assign a weight to an attribute value. We develop new methods, using Kullback-Leibler function, for both value weighting and feature weighting in the context of naive Bayesian. The performance of the proposed methods has been compared with the attribute weighting method and general naive bayesian. The proposed method shows better performance in most of the cases.

• International Journal of Contents
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• v.10 no.2
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• pp.59-66
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• 2014

The Purpose of this study is to examine the effects of the Smart reading program, Smartree, in an elementary English class. Recently in Korea, the use of smart technologies in education has become an issue with the introduction of a new educational platform and increased social interaction between teachers and students. The Smart learning paradigm is converging with technology and social learning. This study examines an English reading method using smart technology and how it affects the improvement of elementary students' reading ability, we also suggest effective reading methods related to Smart learning suitable for this new educational trend. The results showed that the use of a tablet PC based Smartree reading program had meaningful effects on both improvements of cognitive reading ability and changes in affective attitude.

• Korean Institute of Interior Design Journal
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• v.19 no.6
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• pp.11-19
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• 2010

Technological development of information and communication have brought sharp changes to every sector such as society, culture, economy and education because of knowledge and information-oriented society. The number of classes has decreased, and some schools are closed or incorporated due to decrease of the population. Such phenomenon has brought changes to learning using digital technology and space. A change called digital innovation is characterized by interactive communication centering on the internet network. Therefore, it is very important to predict educational environment to be changed according to digital environment and to note how real learning space is changed. The development of digital technology in society in general presents two concepts of digital and contents, digitalized information. Such technology is recognized as a new paradigm in education sector and a new space is created through participation of instructors and learners in learning space. This study analysed cases of learning space of elementary schools based on bibliographical examination and related bibliography including data from academic presentations and news release to present developed leaning space. To present healthy and creative learning environment which can lead knowledge and information-based society in the future, the preface described the background, purpose, methods and range of the study, and analysed transitional processes of society and culture, digital learning contents, and learning space in education of elementary schools. Finally the study identified trends and cases of research on learning space and suggested digital learning contents space.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2008.04a
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• pp.385-391
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• 2008

Robotics has emerged as an important field for the future. It is our vision that robots in future will be able to transcend these precincts and work side by side humans for the greater good of mankind. We developed a face robot for this purpose. However, Life like robots demands a certain level of intelligence. Some scientists have proposed an event based learning approach, in which the robot can be taken as a small child and through learning from surrounding entities develops its own personality. In fact some scientists have proposed an entire new personality of the robot itself in which robot can have its own internal states, intentions, beliefs, desires and feelings. Our approach should not only be to develop a robot personality model but also to understand human behavior and incorporate it into the robot model. Human's personality is very complex and rests on many factors like its physical surrounding, its social surrounding, and internal states and beliefs etc. This paper discusses the development of this platform to evaluate this and develop a standard by a society based approach including the cultural paradigm. For this purpose the fuzzy control theory is used. Since the fuzzy theory is very near human analytical thinking it provides a very good platform to develop such a model.

• International Journal of Contents
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• v.5 no.1
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• pp.1-8
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• 2009

The new paradigm called the web 2.0 recently appeared in the web environment. We pay attention to the positive effects which may be brought about by application of the web 2.0 to e-learning; we think that it can improve problem solving skills of learners and reinforce their creativity. But until now, e-learning model, which understood the web 2.0 concept completely, has been never developed. In this context, we propose the web 2.0-based e-learning platform which induces all the courses for education such as the selection of topic, preparation of lecture schedule and contents, teaching and learning, to be decided by participants. We believe that this platform can replace or supplement the e-learning of web 1.0 age, and realize the positive effects.

• 제어로봇시스템학회:학술대회논문집
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• 1993.10a
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• pp.805-810
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• 1993

In this paper, we propose a compliance control scheme using a neurofuzzzy compliance model(NFCM). as a new control paradigm for telerobot systems. A NFCM, used as a compliance controller, is composed of a fuzzy compliance model(FCM), a neural network and a low pass filter. The NFCM is trained through a reinforcement learning algorithm, and then, can generate suitable compliant motion for a given task. A series of simulations have been performed to show applicability of the proposed algorithm send it is found that the NFCM can implement suitable compliant motion for a given task through the learning procedure.

• Journal of Korean Institute of Industrial Engineers
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• v.18 no.2
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• pp.99-107
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• 1992

Both simulation and expert systems are popular ways to solve complex and hard problems. However, the results of the simulation, which include a large amount of valuable information as a good knowledge source, are not used efficiently. Furthermore, the development of the expert systems can fail because there is no expert or an expert is not available. A new Simulation-Based Expert System(SIMBES) paradigm has been constructed to overcome these problems. It consists of simulator, feature extractor, machine learning system, performance evaluator and Knowledge-Based Expert System(KBES). A SIMBES was implemented for an existing schedule-based MRP system in Smalltalk/V to show how this paradigm works and experimented for a large number of jobs. The KBES and the existing system produced better schedules for 72 percent and 28 percent of the jobs, respectively.

• Journal of the Korean Institute of Intelligent Systems
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• v.17 no.1
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• pp.39-45
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• 2007

In this paper, we developed an intelligent web based e-learning system based on multi agents. To do development of the system, we applied an inclination test that is based on the education theory to do grouping the desirable e-learning community. The proposed system, Intelligent Web based e-learning Multi Agent System (IMAS), is used the multi agents paradigm including learning manner by neural network for grouping of e-learning community and a new distributed multi agent framework proposed here.

• The Mathematical Education
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• v.42 no.2
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• pp.121-135
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• 2003

This article retrospects the developmental process of the psychology of learning and its' influence on mathematics education. At the end of the article, brain-based learning science is introduced to examine its possibility to improve the psychology of learning mathematics. Behaviorists points of views such as Skinner, Guthrie, and Gagne were summarized to discuss the influences on the learning and teaching of mathematics. Gestalt' theories and Constructivism are also included in the discussion of developmental process of learning psychology. In elaboration of the brain-based learning science, recent research findings and the possibility of it's impact on mathematics education were discussed. Since mathematics itself is the most abstract subject it could be more challenging to identify the teaming process of mathematics compared with other areas. The possibilities of identifying the teaming process of mathematics are cautiously anticipated with a help of new paradigm.