• Journal of the Korean School Mathematics Society
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• v.13 no.1
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• pp.45-67
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• 2010

On the standards or elements of teaching evaluation, the Korea Institute of Curriculum and Evaluation(KICE) has carried out several research as follows : 1) establishment of observation elements for selecting examples of good instruction between 2001 and 2002, 2) development of the standards on teaching evaluation between 2004 and 2006, and 3) investigation on the elements of Pedagogical Content Knowledge including Subject Matter Knowledge between 2007 and 2008. The purpose of development of mathematics teaching evaluation standards through those studies were to improve not only mathematics teachers' professionalism but also their own teaching methods or strategies. Especially, the standards on mathematics teaching evaluation were developed based on the standards on general teaching evaluation. In this study, the standards were revised and modified by analyzing the results of those studies (namely, evaluation standards) focused on SMK. For this purpose, four domains such as the knowledge of curriculum reconstruction, knowledge of mathematical contents, methodological knowledge, mathematical value were new established based on the theories relevant to SMK and on the base of these four domains, standards or elements on teaching evaluation focused on SMK were reconstructed.

• Journal of Intelligence and Information Systems
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• v.15 no.1
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• pp.15-30
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• 2009

As knowledge is now being distributed and shared through the Internet not only in the form of text but also in that of video, UCC (User Created Content) knowledge video sharing services have emerged on the Internet such as Instructables.com. This paper deals with a UCC knowledge video service in real world and reports the case of analyzing its customer model. The knowledge video sharing service can be considered as both a kind of discontinuous innovation, which requires knowledge provider's technical ability of creating and editing UCC video, and a value network, which matches UCC providers and consumers therefore brings network effect, we first adopt the Chasm theory as the base of the customer model and refine the customer model referencing the Technographics, which is also an Internet-refinement of the Chasm model. Finally, non-customer analysis of Blue Ocean strategy is applied for exploring potential customers of the service.

• Journal of Korea Technology Innovation Society
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• v.20 no.3
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• pp.709-731
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• 2017

Great attention has been paid to absorptive capacity (AC) as a means of technological innovation. However, few developing countries have demonstrated real success in the development of their technologies and economies. Global issues such as climate change, contagious disease, etc. require more active cooperation between developing and developed countries. This paper makes the novel argument that the donor's transplanting capacity (TC) should be developed and coevolved in concert with the recipient country's AC. Review of the literature shows that AC depends on a prior knowledge base and an intensity of effort. In this article, we analysed the case of KIST and suggest that codification of development experience, localization of innovation capacity, and donor committment comprise the core elements of TC. Nonaka (1994) argued that interaction between tacit knowledge and explicit knowledge can synergize to increase the overall store of available knowledge. Development experience, which leans heavily toward tacit knowledge, should be transformed into explicit knowledge for more efficient technology diffusion. The technological environments of recipient countries vary from those of their donors, which is why innovation capacity should conform to local conditions in order to make transplantation smoother. Donor committment is also critical for successfully transmitting valuable experience.

• Korean Journal of Adult Nursing
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• v.19 no.5
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• pp.27-36
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• 2007

Purpose: The purpose of this study was to investigate the knowledge and learning needs on coronary artery disease in diabetic patients by glycemic control. Methods: The subjects consisted of 188 patients at the hospital who had diabetes mellitus. Data was obtained using a knowledge and learning needs questionnaire from January to April 2006. Results: Treatment method, the levels of fasting blood glucose(FBG), and 2-hour postprandial blood glucose(PP2hr) showed meaningful differences between normo-glycemic group(HbA1c < 7%) and hyper-glycemic group($HbA1c{\geq}7%$). The levels of knowledge on coronary artery disease by glycemic control tend to show higher in normo-glycemic group. Etiology and prevention of coronary artery disease were significantly higher in normo-glycemic group than in hyper-glycemic group. The levels of learning needs on coronary artery disease by glycemic control tend to show higher in normo-glycemic group. The learning needs on items of diet control were higher in normo-glycemic group than in hyper-glycemic group. Conclusion: On the base of these results, we should focus on the coronary artery disease education for hyper-glycemic group. Also individual coronary artery disease educational program should be developed for the patients with different level of knowledge and learning needs.

• KIPS Transactions on Software and Data Engineering
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• v.9 no.8
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• pp.243-250
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• 2020

Knowledge graph-based question answering not only requires deep understanding of the given natural language questions, but it also needs effective reasoning to find the correct answers on a large knowledge graph. In this paper, we propose a deep neural network model for effective reasoning on a knowledge graph, which can find correct answers to complex questions requiring multi-hop inference. The proposed model makes use of highly expressive bilinear graph neural network (BGNN), which can utilize context information between a pair of neighboring nodes, as well as allows bidirectional feature propagation between each entity node and one of its neighboring nodes on a knowledge graph. Performing experiments with an open-domain knowledge base (Freebase) and two natural-language question answering benchmark datasets(WebQuestionsSP and MetaQA), we demonstrate the effectiveness and performance of the proposed model.

• The Journal of the Korea Contents Association
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• v.14 no.9
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• pp.428-436
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• 2014

The convergence technology of ICT(Information & Communication Technology) in agriculture is the main key of the future agricultural industry. Recently, many that by using big data it can improve crop growth-circumstance and agricultural Industry. However, the data of crop growth-circumstance has been not shared and operated separately by individual farm. Therefore, it is necessary to build the LOK(Linked Open Knowledge) system for Quality of Farming & Farm product. We research previous studies for big data and development of the corp growth-circumstance using big data system case. Also, we suggest to build LOK system for improving the domestic agricultural industry.

• The Journal of Information Systems
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• v.17 no.3
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• pp.205-233
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• 2008

This study suggests the dynamic value chain model, that will be able to not only show changing processes to organization's significant capital by integrating an individual, implicit, and explicit knowledge which affect organizational decision making, but also distinguish the key driver for raising organizational competitive power because it makes possible to analyze sensitivity of performance along with decision making alternatives and policy changes from dynamic view by connecting knowledge management capability, knowledge management activity, and relations with organizational performance with specific strategic map. Recently, a lot of organizations show interest in measuring and evaluating their performance synthetically. In organizations taking knowledge management, they introduce effective value chain model like a dynamic balanced scorecard (DBSC), and therefore they can reflect their knowledge management condition as well as show their changes by checking performance of established vision and strategy periodically. Furthermore, they can ask for their inner members' understanding and participation by communicating with and inspiring their members with awareness that members are one of their group, present a base of benchmarking, and offer significant information for later decision making. The BSC has been a successful framework for measuring an organization's performance in various perspectives through translating an organization's vision and strategy into an interrelated set of key performance indicators and specific actions. The BSC, while having significant strengths over traditional performance measurement methods, however, has its own limitations, due to its static nature, such as overlooking two-way causation between performance indicators and neglecting the impact of delayed feedback flowing from the adoption of new strategies or policy changes. To overcome these limitations, this study employs SD, a methodology for understanding complex systems where dynamic feedback among the interrelated system components significantly impact on the system outcomes. The SD simulation model in the form of DBSC would serve as a useful strategic teaming tool for facilitating an organization's communication process through various scenario analyses as well as predicting the dynamic behavior pattern of their key performance measures over a future time frame. For the demonstration purpose, this study applied the DBSC model to Prototype of Korea manufacturing and service firm.

• The Journal of Information Systems
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• v.25 no.3
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• pp.91-116
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• 2016

Purpose Quality and quantity of knowledge in virtual communities is at the discretion of knowledge contributors, and understanding what motivates knowledge contributors' behavior can be invaluable. The purpose of this paper is to find the social aspect of knowledge contribution in virtual communities within the frame of self-determination theory. Also, we seek differential effects of motivation value for novice vs. expert knowledge contributors. Design/methodology/approach Reputation and altruistic motives are studied as antecedents of intrinsic and extrinsic values in contributing knowledge in virtual communities. Gained social connectedness and satisfaction in their knowledge were behaviors studied as dependents of the motivational value. Also, the proposed model was tested for group differences between expert and novice knowledge contributors seeking motivational changes. Self-determination theory is the base theory which explains how externally motivated behaviors can evolve from extrinsically motivated to intrinsic-like behavior with social experiences as knowledge contributors. Findings Analysis of 262 data points gathered from knowledge contributors in Korean virtual communities in 2005 reveals social connectedness as an important dependent variable both for novice and expert knowledge contributors. Group difference analysis shows altruism has negative influence on extrinsic value only for experts. Intrinsic value has a positive influence on satisfaction for both groups alike but the expert group shows a statistically stronger influence than the other.

• Journal of the Korean Society for Library and Information Science
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• v.31 no.4
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• pp.267-287
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• 1997

Traditional information services do not provide information which meets end-users' information need. Therefore, the purpose of this paper Is to budd a WWW research consulting system of supporting researchers on the project base, in order to provide more efficient information service, and to evaluate an efficiency of the proposed system. The system consists of two modules, including an information consulting, and a knowledge base module. The proposed system can be utilized as a component of a digital library system, and also can be used as an education and information system which connects between educators and students In the distance education environment.

• Journal of Korean Institute of Industrial Engineers
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• v.19 no.2
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• pp.119-132
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• 1993

This paper deals with the development of an expert process design system interfaced with CAD for porismatic parts in injection mold manufacture. The developed CAD/CAPP system consists of two modules such as CAD interface module and process design module. Parts are represented using AutoCAD system on the IBM PC/AT. CAD interface module recognizes form features and manufacturing features of the part using form feature recognition algorithm and manufacturing feature recognition rule base. Process design module selects operations and determines machine tools, cutting tools and operation sequencing by using knowledge base which is acquired from expert process planners. A case study is implemented to evaluate feasibilities of the function of the proposed system. The CAD/CAPP system can improve the efficiency of process design activities and reduce the time required for process design.