• The Mathematical Education
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• v.62 no.3
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• pp.363-380
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• 2023

This study analyzed the difficulties and mathematical modeling knowledge improvement that an elementary school teacher experienced in modifying a mathematics textbook task to a mathematical modeling task. To this end, an elementary school teacher with 10 years of experience participated in teacher-researcher community's repeated discussions and modified the average task in the data and pattern domain of the 5th grade. The results are as followings. First, in the process of task modification, the teacher had difficulties in reflecting reality, setting the appropriate cognitive level of mathematical modeling tasks, and presenting detailed tasks according to the mathematical modeling process. Second, through repeated task modifications, the teacher was able to develop realistic tasks considering the mathematical content knowledge and students' cognitive level, set the cognitive level of the task by adjusting the complexity and openness of the task, and present detailed tasks through thought experiments on students' task-solving process, which shows that teachers' mathematical modeling knowledge, including the concept of mathematical modeling and the characteristics of the mathematical modeling task, has improved. The findings of this study suggest that, in terms of the mathematical modeling teacher education, it is necessary to provide teachers with opportunities to improve their mathematical modeling task development competency through textbook task modification rather than direct provision of mathematical modeling tasks, experience mathematical modeling theory and practice together, and participate in teacher-researcher communities.

• Journal of the Korea Society of Computer and Information
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• v.28 no.1
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• pp.27-38
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• 2023

In this paper, we propose a conversational AI agent based on continual learning that can continuously learn and grow with new data over time. A continual learning-based conversational AI agent consists of three main components: Task manager, User attribute extraction, and Auto-growing knowledge graph. When a task manager finds new data during a conversation with a user, it creates a new task with previously learned knowledge. The user attribute extraction model extracts the user's characteristics from the new task, and the auto-growing knowledge graph continuously learns the new external knowledge. Unlike the existing conversational AI agents that learned based on a limited dataset, our proposed method enables conversations based on continuous user attribute learning and knowledge learning. A conversational AI agent with continual learning technology can respond personally as conversations with users accumulate. And it can respond to new knowledge continuously. This paper validate the possibility of our proposed method through experiments on performance changes in dialogue generation models over time.

• Journal of Korea Society of Industrial Information Systems
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• v.28 no.6
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• pp.131-149
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• 2023

In light of the COVID-19 incident, organizations have recognized the importance of systematically managing knowledge resources to enhance work efficiency and performance within the organization. We have adopted the perspective of knowledge hoarding, which entails the ownership of individual knowledge, and aim to elucidate the underlying mechanisms that contribute to knowledge hoarding by considering the organizational environment, personal characteristics, and task characteristics. To test our hypothesis, we conducted a survey among employees working in companies that have implemented knowledge management policies or systems. We obtained a total of 381 samples, which were analyzed using AMOS 22.0 and Process 3.1 macros. Our findings reveal that distributive injustice leads to conflicts relationships and subsequently increases individual knowledge hoarding. Furthermore, we found that sensitivity to incentive interacts with distributive injustice, further exacerbating knowledge hoarding. Conversely, task interdependence mitigates knowledge hoarding by interacting with distributive injustice and relation conflict. These results contribute to the development of effective organizational knowledge management strategies aimed at curbing knowledge hoarding within the organization.

• Knowledge Management Research
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• v.6 no.2
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• pp.47-68
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• 2005

The Purpose of this study is to identify relationships between knowledge management performances and such Influence factors of knowledge Management as information technology, knowledge management process, culture & people, strategy & Leadership in Small and Medium-sized Enterprises. In order to test hypotheses, we collected data from 498 SME's employees, then analysed them by SPSSWIN. This results showed as follows; 1. All Influence factors of knowledge Management( information technology, knowledge management process, culture & people, strategy & Leadership) are to advance individual task effectiveness and organization effectiveness significantly. 2. Such Influence factors of knowledge Management as information technology, knowledge management process, culture & people are to improve business efficiency between the company. But strategy & leadership factor is not significant. 3. Influence factors of knowledge Management are different between knowledge performace factors such ac individual task effectiveness, organization effectiveness, and business efficiency between company.

• Health Policy and Management
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• v.22 no.4
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• pp.628-653
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• 2012

Purpose : This study attempted to find out the relationship between leadership style, knowledge transfer in nursing officers' job, considering the task characteristics. Methods : The data were collected from the military hospital during November 1st to November 17th, 2008 using a structured questionnaire and analyzed with the statistical method of frequency, correlation, and regression analysis, in SPSS 12.0 program package. Results/Conclusion : The results of empirical analysis shows that the levels of job tension and job focused task domain affect the job characteristics of the nursing officers' organization. The job characteristics have a moderating effect on the relationship between leadership style and knowledge transfer. The research is very useful in finding out the job characteristics which well depict military nursing organizations. This research suggests that a desirable leadership styles affect the knowledge transfer in the job characteristics type.

• Journal of Korean Academy of Nursing Administration
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• v.21 no.3
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• pp.287-296
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• 2015

Purpose: Purpose of the study was to investigate task performance, importance, knowledge, and level of job stress and job satisfaction of nurses working in a hospital with no family or family paid auxiliary caregivers. Methods: Participants were 119 nurses working in hospitals with no guardians. The questionnaire contained 488 items: general characteristics, performance, importance, knowledge of nursing tasks, job stress and job satisfaction. Data were analyzed using descriptive statistics and Pearson correlation coefficients with SPSS/WIN 21.0. Results: Most frequently performed nursing tasks were patient nursing management and information management. Nursing tasks perceived as most important were medication and transfusion and nursing tasks with the highest knowledge were also medication and transfusion. Nursing task (subcategory) most frequently performed was oral medication. Nursing task (subcategory) perceived as most important was mental status observation and nursing task (subcategory) with the highest knowledge was vital sign check. Nurses' job stress was significantly associated with job satisfaction. The mean scores for nurses' job stress and job satisfaction were low. Conclusion: The results indicate that nurses working in hospitals with no guardians perform daily living assistance services more often than previously, and nurses need to be prepared to do these tasks.

• Journal of The Korean Association For Science Education
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• v.15 no.3
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• pp.263-274
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• 1995

The purpose of this study was to find out effect of problem solving by mental demand of items and chunking level of problem solver on the item. The principal findings of study were as follows ; 1) According to increase of mental demand of items. students' achievement score appeared to decrease and the more mental demand an item needed. the higher or at least the same hierarchical item was. These results showed that mental demand of item was main factor which decided difficulties of problem solving. 2) Though items have the same mental demand. students' achievement score were different between balance beam task and 2nd law task (achievement score of balance beam task < achievement score of 2nd law task). 3) Achievement score of LM group who used chunked knowledge to solve balance beam task were higher than non LM group who used non chunked knowledge. 4) The level of chunked knowledge was different between two tasks when non LM group solved items of two tasks. On the other hand, LM group used the same level of chunked knowledge to solve items of two tasks. 5) Achievement score of non LM group was the same between items of two tasks after treatment due to chunking effect by treatment. But achievement score of LM group didn't change before and after treatment. The chunking effect by treatment had an effect on non LM group, but it was not on LM group.

• Knowledge Management Research
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• v.14 no.2
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• pp.117-135
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• 2013

In a contemporary organization, the role of social capital has been increasingly important in sharpening knowledge management practices. The primary objective of this paper is to propose a research model to measure the effects of social capital on individual performance. The model also investigates the mediating mechanism of knowledge acquisition and knowledge transformation, both of which are critical in fostering an enterprise's absorptive capacity. The field data was collected from a knowledge-centric organization. The analysis result reveals that shared goal is crucial in enabling knowledge processes. Furthermore, it is found that knowledge transformation rather than knowledge acquisition is more likely to lead to individual task performance.

• Journal of the Korean Society for information Management
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• v.15 no.3
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• pp.133-150
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• 1998

For the purpose of new‘organizational knowledge centric knowledge management’, this paper proposes the knowledge creating organizational memory which shows the knowledge creation in organization according to the dialectical circulation between the domain knowledge and the task knowledge, based on the Yin Yang theory. This paper defines two kinds of organizational knowledge such as the domain knowledge and task knowledge and designs them in the pursuit of its lifecycle. Knowledge creating organizational memory is designed to three knowledge components that circulate through the domain knowledge and the task knowledge according to the object-oriented methodology. Organizational knowledge is designed into the graphical structure of ( i ) knowledge ( ⅱ ) relation between knowledge objects and ( ⅲ ) degree of relation, which receive the legacy of organizational knowledge such as data schema, process model and knowledge base. This design of organizational knowledge can be applied to CBR(Case Based Reasoning), one of knowledge mining tools to create new organizational knowledge.

• Information Systems Review
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• v.12 no.1
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• pp.81-105
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• 2010

This research explores the role of personal performance expectation, task-technology fit, perceived rewards, shared vision, usefulness of knowledge sharing, top management support, organization culture, organizational commitment, KMS self-efficacy as antecedents which affect knowledge sharing activity as a consequence and investigates relationships among variables considering characteristics. The results show that members' perceived personal performance expectation, task-technology fit, perceived rewards, shared vision, usefulness of knowledge sharing, top management support, organization culture, organizational commitment, KMS self-efficacy has a positive effect perspectively on knowledge sharing in a organization. Especially, the fact that perceived members' task-technology fit, perceived rewards, usefulness of knowledge sharing is more important than other variables was confirmed. The results of this study, knowledge-sharing activities of the enterprise, members of the organization's business strategy for the activation process is expected to help.