• Journal of Korean Elementary Science Education
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• v.24 no.5
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• pp.612-619
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• 2005

Dimensions of learning, based on the vast studies on teaming psychology and teaming processes, have been played an important role as one of the frameworks of curriculum and teaming strategies. Dimensions of Learning consist of 5 Dimensions, each of 'Attitudes and Perceptions', 'Acquire and Integrate Knowledge', 'Extend and Refine Knowledge', 'Use Knowledge Meaningfully', 'Habits of Mind'. And each dimension has $3\~8$ lower categories in itself, The elementary 5th grade science lesson emphasizing upon Dimensions of Learning was developed in this study. The lessons dealt with almost every lower categories of Dimensions of learning. We analysed students' scientific attitude and scientific achievement quantitatively after the lesson emphasized upon Dimensions of Learning in comparison with typical lesson laying stress on teachers' guides. The results are as follows; Students' scientific attitude was significantly changed after the lesson emphasized upon Dimensions of Learning. The willingness, positiveness, straightforwardness, and openness of lower categories of students' scientific attitude were more significantly changed especially. But students' scientific achievement was not significantly changed after the lesson emphasized upon Dimensions of Learning.

• The Journal of Information Systems
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• v.15 no.4
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• pp.171-188
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• 2006

Information technology and the Internet have had a dramatic effect on education method and individual life. Universities and companies we making large investments in e-Learning applications but are hard to pressed to evaluate the success of their e-Learning systems. e-Learning can be seen as not only one of Internet based information systems which can provide education services but also one of teaching-teaming methods which can implement self-directed teaming. This paper tests the updated model of information system success proposed by Delone and McLean using a field study of a e-Learning. The five dimensions - information quality, system quality, service quality, user satisfaction, net benefit - of the updated model are parsimonious framework for organizing the e-learning success metrics identified in the literature. Questionaires are collected from 107 students who are enrolling a e-learning class using online survey. The model is tested using SPSS and LISREL. The results show that information quality and service quality are significant predictors of user satisfaction with the e-Learning system but system quality is not. Also user satisfaction is found to be a strong predictor of the learning performance. This strong association between user satisfaction and teaming performance suggests that user satisfaction may serve as a valid surrogate for teaming performance. Empirical testing of the updated DeLone & McLean model should therefore be extended to cover a wider variety of systems.

• Journal of Korean Elementary Science Education
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• v.24 no.3
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• pp.203-213
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• 2005

In this study, the biological units of elementary school science were classified to the lower categories of Dimensions of Learning out of the 1 st to the 7th National Curriculum using the Dimensions of Learning Project developed by ASCD in USA. Also they were investigated which lower categories of Dimensions of Learning were used to the Curriculum. The results were as follows; First, the average percentages of using the lower categories of Dimensions of learning increased gradually from lower to higher grade regardless of any versions of Curriculum. For example, the percentages of using the lower categories according to grade 3 to 6 were increased by $56.1\%,\;61.4\%.\;67.1\%,\;86.8\%$ in the 7th Curriculum (r = .942). Second, as a result of investigating the percentages of using lower categories of Dimensions of Learning according to the change of curriculum, the average percentages appeared to be $37.9\%,\;42.9\%,\;41.1\%,\;47.6\%,\;47.6\%,\;50.5\%,\;67.9\%$ from the 1st to the 7th National Curriculum, respectively. In addition, the average percentages were increased gradually from the 1st to the 7th National Curriculum (r = .878). Third, the average percentages of using the lower categories of Dimensions of Learning decreased approximately from 1 st to 5th Dimension. The results are considered to be a desirable organization considering the physiological, cognitive development of elementary students.

• Journal of Korea Multimedia Society
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• v.6 no.4
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• pp.676-684
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• 2003

eLearning can be defined as an approach to teaching and teaming that utilises Internet technologies to communicate and collaborate in an educational context. This includes technology that supplements traditional classroom training with web-based components and learning environments where the educational process is experienced online. The use of hypertext as an educational tool has a very rich history. The advent of the internet and one of its major application, the world wide web (WWW), has given a tremendous boost to the theory and practice of hypermedia systems for educational purposes. However, the web suffers from an inability to satisfy the heterogeneous needs of a large number of users. For example, web-based courses present the same static teaming material to students with widely differing knowledge of the subject. Adaptive hypermedia techniques can be used to improve the adaptability of eLearning. In this paper we report an approach to the design a unified implementation framework suitable for web-based eLearning that accommodates the three main dimensions of hypermedia adaptation: content, navigation, and presentation. The framework externalises the adaptation strategies using XML notation. The separation of the adaptation strategies from the source code of the eLearning software enables a system using the framework to quickly implement a variety of adaptation strategies. This work is a part of our more general ongoing work on the design of a framework for adaptive content delivery. parts of the framework discussed in this paper have been imulemented in a commercial eLearning engine.

• The Journal of Information Systems
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• v.14 no.2
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• pp.75-99
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• 2005

Today, many universities are confronted with the changing education paradigm such as e-learning, Distance Education, Virtual University, This IT-based teaming paradigm shift is certainly a new opportunity or a threat to our universities. To overcome this problem the universities should think e-Learning as strategic weapon, such as many firms created competitive weapons from the information systems at the 1980s. So, e-Learning system can be a SIS(Strategic Information System) which supports university's future education strategies. To build a e-Learning system, not only many H/W and S/W resources but also expert personnels are required. An organization such as local university who is week at financial status can't himself plan the system. The Local University Community e-Learning Centers that support the demand of e-learning for their community are recommended. In order to operate these centers efficiently, the strategic roles of the e-Learning center should first be defined. To define the strategic roles, We classified the strategic roles of the e-Learning center into four dimensions, (1) to improve management efficiency, (2) to enhance educational service, (3) to acquire competitive advantages, (4) to build new education infrastructure, and each dimension has 5 or 6 measurement items. As result, to enhance the educational service was considered as the most significant factor among the four dimensions of strategic roles, and the infrastructure building was the next. We also tried to find the difference for each factor by the characteristics of responsor. The data showed that there was litter difference between the groups in evaluating the significance of strategic roles of e-learning centers. Through the strategic roles definition and analysis of expected role ratings, we could have recommended the direction and operation policies of the e-Loaming centers.

• Korean Journal of Computational Design and Engineering
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• v.3 no.1
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• pp.57-67
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• 1998

Genetic programming (GP) is an extension of a genetic algoriths paradigm, deals with tree structures representing computer programs as individuals. In recent, there have been many research activities on applications of GP to various engineering problems including system identification, data mining, function approximation, and so forth. However, standard GP suffers from the lack of the estimation techniques for numerical parameters of the GP tree that is an essential element in treating various engineering applications involving real-valued function approximations. Unlike the other research activities, where nonlinear optimization methods are employed, I adopt the use of a weighted linear associative memory for estimation of these parameters under GP algorithm. This approach can significantly reduce computational cost while the reasonable accurate value for parameters can be obtained. Due to the fact that the GP algorithm is likely to fall into a local minimum, the GP algorithm often fails to generate the tree with the desired accuracy. This motivates to devise a group of additive genetic programming trees (GAGPT) which consists of a primary tree and a set of auxiliary trees. The output of the GAGPT is the summation of outputs of the primary tree and all auxiliary trees. The addition of auxiliary trees makes it possible to improve both the teaming and generalization capability of the GAGPT, since the auxiliary tree evolves toward refining the quality of the GAGPT by optimizing its fitness function. The effectiveness of this approach is verified by applying the GAGPT to the estimation of the principal dimensions of bulk cargo ships and engine torque of the passenger car.

• Journal of the Korean Geographical Society
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• v.37 no.2
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• pp.111-130
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• 2002

Major purposes of this stud? are to analyze Korean firms'innovation networks and sources of knowledge for innovation and to understand their spatial dimensions. In the innovation networks, parent firms are most important for subcontracting firms, while suppliers, customers and competitors are relatively important for independent firms. However, in the future innovation networks, it is expected that government-sponsored research institutions and university wilt become more important on the one hand, networks with foreign firms will become more important on the other hand. Regarding the process of innovation, distance does not matter for the acquisition of codified knowledge. Spatial proximity is, however, critical for the acquisition of tacit knowledge because discussions and researches in a research division within a firm, personal networks of CEO and workers who are responsible for innovation activity, and inter-firm relations with suppliers and customer in a region are regarded important as sources of tacit knowledge. Overall, the innovation networks are different between the Capital Region and non-Capital Region as well as between the industrial complex and non-industrial complex, suggesting that different regional innovation strategies and policies should be established and implemented by considering such regional specificities. Finally, based on the results of this study several policy implications are suggested.