• 한국디지털정책학회:학술대회논문집
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• 2005.11a
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• pp.185-207
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• 2005

본 논문은 우리나라 청소년들의 경제교육을 좀더 효과적이며 내실 있는 교육방법을 찾는 데에 그 목적을 두고 있다. 이를 위해 세계적 무한경쟁시대(無限競爭時代)에 주역이 되어야 할 우리나라 청소년들에게 어릴 때부터 체계적인 경제 지식과 마인드를 심어줌으로써 미래지향적이고 세계주도적인 인재로 성장할 수 있는 기틀을 잡아주고, 어떻게 교육하는 것이 가장 효과적이며 내실 있는 방법인가를 고찰하였다. 현재 우리나라 초 중 고에서의 경제교육에 관한 현황을 살펴보고, 실태조사를 바탕으로 경제교육의 방향과 활성화에 시사점을 두었으며, 특히 디지털 매스미디어를 중심으로 한 교육방법을 살펴보았다. 연구결과를 바탕으로 디지털 시대의 청소년 경제교육 방향을 제시하면 다음과 같다. 첫째, 청년실업자의 활용이라는 측면에서 청소년경제교육을 직접 지도할 수 있는 전문가를 양성하여야 한다. 정년실업자를 청소년 경제교육에 관한 skill 교육을 통해 전문경제교육자로 양성한 후 현장에 투입하여 활용하는 방안이다. 현재 학교교육에서의 경제교육을 전문적으로 도와줄 수 있는 전문가의 부재를 청년실업자를 바탕으로 정책적, 민간기관의 지원을 바탕으로 자격증을 취득한 전문경제교육자를 현장에서 활용하는 것이다. 둘째, 청소년들의 환경에서 가장 큰 영향력을 행사하는 디지털 매스미디어를 경제교육의 도구로 활용하는 웹 활용교육(WBI)이 되어야 한다. 디지털을 이용한 경제교육의 매력은 매스미디어에 대한 청소년들의 거부감이 없다는데 있다. 그리고 웹 활용 교육(WBI)과 프로그램 개발을 통하여 인터넷과 홈페이지 그리고 다양한 경제교육과 학교 수업에 효율적으로 사용될 수 있다.식품으로서 사료의 위생적인 생산을 가져올 수 있을 것으로 생각된다. 서비스에 대한 인지된 유용성과 UI의 편의성은 사용자 선호에 영향을 미치는 것으로 나타났다. 반면에 정보 품질, 서비스 연계성, 흥미 성, 시스템 품질은 사용자 선호에 영향을 미치지 못하는 것으로 나타났다. 그러나 정보 품질과 시스템 품질의 결과는 유의 수준에서 크게 넘어가지 않는 결과가 나와 반드시 영향을 미치지 못하는 것은 아니라고 조사되었다. 본 연구는 검색 서비스라는 특정 서비스에 대해서 사용자 선호에 영향을 미치는 요인에 대해서 알아보고자 하였다. 이는 학문적인 측면에서 기존의 통합적인 웹사이트 평가에 대한 연구의 확장을 가능케 하였고, 개인사용자 측면에서는 좀더 좋은 정보를 제공하는 검색 서비스에 대한 이해를 높일 수 있는 계기가 되었다고 할 수 있다. did not showed any characterized sign of acute or subacute liver damage or intestine lesion. So it is supposed that there is not any tocixants originated from some molds in fermented Korean domestic Meju which is prepared traditionally in winter.의 배설량은 10배 정도 증가하게 되어 진동만의 오염부하를 가중하게 된다. 진동만은 여름철 빈산소수괴 및 적조가 빈번하게 발생하고 있으므로 미더덕 양식장을 새로이 시설할 경우 오염부하가 가중될 것으로 판단되어, 앞으로 진동만의 양식장 수용능력을 파악하여 적정량의

• Journal of The Korean Association For Science Education
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• v.34 no.7
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• pp.693-701
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• 2014

Based on social cognitive theory, self-efficacy in the context of learning has been steadily emphasized as an indicator of students' motivation and performance. The premise for developing such an instrument was that a specific measure of Physics self-efficacy was deemed to be an important predictor of the change processes necessary to improve students' physics understanding. In this study we described the process of developing and validating an instrument to measure students' beliefs in their abilities to perform essential tasks in physics and then investigated high school students' self-efficacy about physics learning and performance. Validity and reliability of PSEI were tested using various statistical techniques including the Cronbach alpha coefficient, exploratory factor analysis. The result of factor analysis supported the contention that the Physics Self-Efficacy Inventory (PSEI) was a multidimensional construct consisting of at least four dimensions: understanding and application of Physics concepts, achievement motivation, confidence for physics laboratory, confidence for Mathematics. The result showed that Kroean high schools students have low Physics self-efficacy for the all four dimensions. Therefore, researchers should focus on development of students' Physics self-efficacy. In addition, the instrument may lead to further understanding of student behavior, which in turn can facilitate the development of strategies that may increase students' aspiration to understand and study Physics. More specifically, by using the PSEI as a pre- and post-test indicator, instructors can gain insight into whether students' confidence levels increase as they engage in learning Physics, and, in addition, what type of teaching strategies are most effective in building deeper understanding of Physics concepts.where they freely exchanged opinions and feedback for constructing better collective ideas.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.8 no.8
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• pp.1-9
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• 2018

Emotional Intelligence is the ability to recognize, facilitate, understand and control and utilize one's and other's emotions and has been researched extensively in last 20 years. Of the four domains of emotional intelligence, Emotional Regulation, the ability for one to manage and modify one's emotional reactions in order to achieve goal-directed outcomes, with its influence on authentic leadership and change oriented organizational citizenship behavior was researched by surveying 300 nurses at large metropolitan hospitals in B city in South Korea. Previous research demonstrated in relationship based and long term oriented cultures, such as Korea, Japan and Chinese cultures, ability to regulate emotions is critical component in successful social dynamics yet research the topic is minimal in Korea. Authentic leadership is a leader displaying sincerity and authentic behavior and through such, trust is gained in followers and collaboration is formed. Change oriented organizational citizenship behavior is a proactive behavior where the individual performs behaviors not included in his job functions voluntarily. The results indicate the three out of four sub domains of authentic leadership influenced positively to change oriented organizational citizenship behavior with the exception of balanced information processing. Moreover, Emotional Regulation partially mediated between authentic leadership and change oriented organizational citizenship behavior. Such results validated previous studies that indicated authentic leadership as possible antecedents of individual proactive behaviors and by examining authentic leadership and change oriented organizational citizenship behavior with emotional regulation as a mediator proved possibility as another potential antecedent of change oriented organizational citizenship behavior in hospital setting.

• The Korean Journal of Archival Studies
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• no.79
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• pp.5-32
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• 2024

The Korean government ranked 3rd among 193 UN member countries in the UN's 2022 e-Government Development Index. Korea, which has consistently been evaluated as a top country, can clearly be said to be a leading country in the world of e-government. The lubricant of e-government is data. Data itself is neither information nor a record, but it is a source of information and records and a resource of knowledge. Since administrative actions through electronic systems have become widespread, the production and technology of data-based records have naturally expanded and evolved. Technology may seem value-neutral, but in fact, technology itself reflects a specific worldview. The digital order of new technologies, armed with hyper-connectivity and super-intelligence, not only has a profound influence on traditional power structures, but also has an a similar influence on existing information and knowledge transmission media. Moreover, new technologies and media, including data-based generative artificial intelligence, are by far the hot topic. It can be seen that the all-round growth and spread of digital technology has led to the augmentation of human capabilities and the outsourcing of thinking. This also involves a variety of problems, ranging from deep fakes and other fake images, auto profiling, AI lies hallucination that creates them as if they were real, and copyright infringement of machine learning data. Moreover, radical connectivity capabilities enable the instantaneous sharing of vast amounts of data and rely on the technological unconscious to generate actions without awareness. Another irony of the digital world and online network, which is based on immaterial distribution and logical existence, is that access and contact can only be made through physical tools. Digital information is a logical object, but digital resources cannot be read or utilized without some type of device to relay it. In that respect, machines in today's technological society have gone beyond the level of simple assistance, and there are points at which it is difficult to say that the entry of machines into human society is a natural change pattern due to advanced technological development. This is because perspectives on machines will change over time. Important is the social and cultural implications of changes in the way records are produced as a result of communication and actions through machines. Even in the archive field, what problems will a data-based archive society face due to technological changes toward a hyper-intelligence and hyper-connected society, and who will prove the continuous activity of records and data and what will be the main drivers of media change? It is time to research whether this will happen. This study began with the need to recognize that archives are not only records that are the result of actions, but also data as strategic assets. Through this, author considered how to expand traditional boundaries and achieves reterritorialization in a data-driven society.

• Journal of Intelligence and Information Systems
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• v.27 no.4
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• pp.49-71
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• 2021

Users who intend to utilize knowledge to actively solve given problems proceed their jobs with cross- and sequential exploration of associated knowledge related each other in terms of certain criteria, such as content relevance. A knowledge map is the diagram or taxonomy overviewing status of currently managed knowledge in a knowledge-base, and supports users' knowledge exploration based on certain relationships between knowledge. A knowledge map, therefore, must be expressed in a networked form by linking related knowledge based on certain types of relationships, and should be implemented by deploying proper technologies or tools specialized in defining and inferring them. To meet this end, this study suggests a methodology for developing the knowledge graph-based knowledge map using the Graph DB known to exhibit proper functionality in expressing and inferring relationships between entities and their relationships stored in a knowledge-base. Procedures of the proposed methodology are modeling graph data, creating nodes, properties, relationships, and composing knowledge networks by combining identified links between knowledge. Among various Graph DBs, the Neo4j is used in this study for its high credibility and applicability through wide and various application cases. To examine the validity of the proposed methodology, a knowledge graph-based knowledge map is implemented deploying the Graph DB, and a performance comparison test is performed, by applying previous research's data to check whether this study's knowledge map can yield the same level of performance as the previous one did. Previous research's case is concerned with building a process-based knowledge map using the ontology technology, which identifies links between related knowledge based on the sequences of tasks producing or being activated by knowledge. In other words, since a task not only is activated by knowledge as an input but also produces knowledge as an output, input and output knowledge are linked as a flow by the task. Also since a business process is composed of affiliated tasks to fulfill the purpose of the process, the knowledge networks within a business process can be concluded by the sequences of the tasks composing the process. Therefore, using the Neo4j, considered process, task, and knowledge as well as the relationships among them are defined as nodes and relationships so that knowledge links can be identified based on the sequences of tasks. The resultant knowledge network by aggregating identified knowledge links is the knowledge map equipping functionality as a knowledge graph, and therefore its performance needs to be tested whether it meets the level of previous research's validation results. The performance test examines two aspects, the correctness of knowledge links and the possibility of inferring new types of knowledge: the former is examined using 7 questions, and the latter is checked by extracting two new-typed knowledge. As a result, the knowledge map constructed through the proposed methodology has showed the same level of performance as the previous one, and processed knowledge definition as well as knowledge relationship inference in a more efficient manner. Furthermore, comparing to the previous research's ontology-based approach, this study's Graph DB-based approach has also showed more beneficial functionality in intensively managing only the knowledge of interest, dynamically defining knowledge and relationships by reflecting various meanings from situations to purposes, agilely inferring knowledge and relationships through Cypher-based query, and easily creating a new relationship by aggregating existing ones, etc. This study's artifacts can be applied to implement the user-friendly function of knowledge exploration reflecting user's cognitive process toward associated knowledge, and can further underpin the development of an intelligent knowledge-base expanding autonomously through the discovery of new knowledge and their relationships by inference. This study, moreover than these, has an instant effect on implementing the networked knowledge map essential to satisfying contemporary users eagerly excavating the way to find proper knowledge to use.