• Title/Summary/Keyword: 조직 학습

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A Study on the Activation Plan of Play & Education Based on Focus Group Interview (FGI 분석을 통한 놀이교육 활성화 방안 연구)

  • Park, Hye-Jin;Kim, Yong-Young
    • Journal of the Korea Convergence Society
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    • v.10 no.4
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    • pp.165-173
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    • 2019
  • Recently, a variety of programs for elementary school students that utilize play in their curricula are supported. In this study, we are trying to draw up ways to activate play education based on the elements necessary for the play education to be effectively provided on the field and the current operational status. In order to achieve the research goal, nine participants of play experts and parents were selected for the focus group interview (FGI). The FGI consist of five questions: (1) opinions on the establishment and joint operation of the organization to support play and parents' education; (2) opinions based on experience in participating in existing training programs; (3) activation plan of play & education program; (4) competencies required by members of the organization; (5) evaluation of program for quality improvement. Through the FGI survey, we drew ideas for the operation of play & education programs to promote positive growth and support systemic programs of both preschoolers and elementary students. In order for play & education to be active in the field of education, a center where play & education and parents' education can be conducted at the same time should be established and operated so that the education can be integrated with play. Based on these findings, we proposed follow-up research in the direction of achieving specific goals and enhancing the quality of play education.

A Study on Science Teaching Orientation and PCK Components as They Appeared in Science Lessons by an Experienced Elementary Teacher: Focusing on 'Motion of Objects' and 'Light and Lens' (한 초등 경력교사의 과학수업에서 나타나는 과학 교수지향과 PCK 요소들 사이의 관련성 탐색 -물체의 운동과 빛과 렌즈 단원을 중심으로-)

  • Shin, Chaeyeon;Song, Jinwoong
    • Journal of The Korean Association For Science Education
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    • v.41 no.2
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    • pp.155-169
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    • 2021
  • This study aims at exploring the features of science teaching orientation (STO) and its relationships with other PCK (pedagogical content knowledge) components. To do this, based on the definition of STO by Friedrichsen, Driel, & Abell(2011) and PCK model by Magnusson, Krajcik, & Borko(1999), we observed one experienced elementary teacher's science lessons for 21 lesson hours (10 hours of 'Motion of Objects' and 11 hours of 'Light and Lens') and carried out qualitative analyses of the data obtained from lessons observation, teacher interviews, and CoRe (content representation) responses. We analyzed the teacher's three aspects of STO (i.e. beliefs about the goals and purpose of science teaching, beliefs about the nature of science, and beliefs about science teaching and learning) which can converge into an overall STO of 'inquiry'. And these aspects of STO appear to interact differently with four PCK components (i.e. curriculum knowledge, learner knowledge, instructional knowledge, and assessment knowledge) depending on the topic of the lesson. It is hoped that this in-depth understanding of the features of STO and its relationship with other PCK components would provide useful information on how to monitor and improve STO and PCK of elementary teachers.

Evidence-based Practices Convergence Issues for Advancement of Performance Analysis of Duksung Women's University Extracurricular Activities (덕성여자대학교 비교과교육과정 성과분석 고도화 근거기반 실제(evidence-based practices) 융합 쟁점)

  • Kim, Young-Jun;Kwon, Ryang-Hee
    • The Journal of the Convergence on Culture Technology
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    • v.7 no.3
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    • pp.123-134
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    • 2021
  • This study was conducted for the purpose of convergence exploration of evidence-based practices for the advancement of performance analysis of the extracurricular activities at Duksung Women's University. The research method consisted of an expert meeting procedure along with a procedure for analyzing previous studies dealing with the performance analysis of the university's extracurricular activities in the field of pedagogy. The contents of this study consisted of presenting some facts that should be based on evidence for the advancement of performance analysis of the extracurricular activities after the establishment of the center for extracurricular activities in Duksung Women's University. And in practices, the development and diagnostic analysis of tools for diagnosing extracurricular customized learning capabilities, data-based multidimensional analysis (IR system), continuous monitoring analysis through extracurricular certification, and analysis based on feedback tools were presented in a convergence perspective and context. As a result of the study, the evidence-based practices for the advancement of the performance analysis of the extracurricular activities at Duksung Women's University guarantees the validity and stability of the performance evaluation and feedback system of the extracurricular activities at Duksung Women's University, and has a close influence on the extracurricular education work of other universities analyzed as possible.

Big Data Utilization and Policy Suggestions in Public Records Management (공공기록관리분야의 빅데이터 활용 방법과 시사점 제안)

  • Hong, Deokyong
    • Journal of Korean Society of Archives and Records Management
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    • v.21 no.4
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    • pp.1-18
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    • 2021
  • Today, record management has become more important in management as records generated from administrative work and data production have increased significantly, and the development of information and communication technology, the working environment, and the size and various functions of the government have expanded. It is explained as an example in connection with the concept of public records with the characteristics of big data and big data characteristics. Social, Technological, Economical, Environmental and Political (STEEP) analysis was conducted to examine such areas according to the big data generation environment. The appropriateness and necessity of applying big data technology in the field of public record management were identified, and the top priority applicable framework for public record management work was schematized, and business implications were presented. First, a new organization, additional research, and attempts are needed to apply big data analysis technology to public record management procedures and standards and to record management experts. Second, it is necessary to train record management specialists with "big data analysis qualifications" related to integrated thinking so that unstructured and hidden patterns can be found in a large amount of data. Third, after self-learning by combining big data technology and artificial intelligence in the field of public records, the context should be analyzed, and the social phenomena and environment of public institutions should be analyzed and predicted.

A study on frost prediction model using machine learning (머신러닝을 사용한 서리 예측 연구)

  • Kim, Hyojeoung;Kim, Sahm
    • The Korean Journal of Applied Statistics
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    • v.35 no.4
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    • pp.543-552
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    • 2022
  • When frost occurs, crops are directly damaged. When crops come into contact with low temperatures, tissues freeze, which hardens and destroys the cell membranes or chloroplasts, or dry cells to death. In July 2020, a sudden sub-zero weather and frost hit the Minas Gerais state of Brazil, the world's largest coffee producer, damaging about 30% of local coffee trees. As a result, coffee prices have risen significantly due to the damage, and farmers with severe damage can produce coffee only after three years for crops to recover, which is expected to cause long-term damage. In this paper, we tried to predict frost using frost generation data and weather observation data provided by the Korea Meteorological Administration to prevent severe frost. A model was constructed by reflecting weather factors such as wind speed, temperature, humidity, precipitation, and cloudiness. Using XGB(eXtreme Gradient Boosting), SVM(Support Vector Machine), Random Forest, and MLP(Multi Layer perceptron) models, various hyper parameters were applied as training data to select the best model for each model. Finally, the results were evaluated as accuracy(acc) and CSI(Critical Success Index) in test data. XGB was the best model compared to other models with 90.4% ac and 64.4% CSI, followed by SVM with 89.7% ac and 61.2% CSI. Random Forest and MLP showed similar performance with about 89% ac and about 60% CSI.

A Comparative Study of Scientific Literacy and Core Competence Discourses as Rationales for the 21st Century Science Curriculum Reform (21세기 과학 교육과정 개혁 논리로서의 과학적 소양 및 핵심 역량 담론 비교 연구)

  • Lee, Gyeong-Geon;Hong, Hun-Gi
    • Journal of The Korean Association For Science Education
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    • v.42 no.1
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    • pp.1-18
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    • 2022
  • The two most influential rationales for the 21st century science curriculum reform can be said to be core competence and scientific literacy. However, the relationship between the two has not been scrutinized but remained speculative - and this has made the harmonization of the general guideline and subject-matter curriculum difficult in Korean national curriculum system. This study compares the two discourses to derive implications for future science curriculum development. This study took a literature research approach. In chapter II, national curriculum or standards, position papers, and research articles were reviewed to delineate the historical development of the discourses. In chapter III and IV, the intersections of those two discourses are delineated. In chapter III, the commonalities of the two discourses are explicated with regard to crisis rhetoric, multi-faceted meanings (individual, community, and global aspects), organization of subject-matter content and teaching and learning method, and the role of high-stake exams. In chapter IV, their respective strengths and weaknesses are juxtaposed. In chapter V, it is suggested that understanding scientific literacy and core competence discourses to have a family resemblance as 21st century science curriculum reform rationale, after Wittgenstein and Kuhn. Finally, the ways to resolve the conflict between the two ideas from the general guideline and subject-matter curriculum over crisis rhetoric were explored.

The Effects of Coach Turnover and Sport Team Performance: Evidence from the Korean Professional Soccer League 1983-2013 (한국프로축구팀의 감독교체가 팀 경기성과에 미치는 영향)

  • Kim, Phil-Soo;Kim, Dae-Kwon
    • 한국체육학회지인문사회과학편
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    • v.54 no.4
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    • pp.329-345
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    • 2015
  • Our study examines the relationship between coach turnover and professional sport team performance using the evidences of Korean professional soccer teams. We collected panel dataset of 304 team-year observations and 96 coaches from Korean professional soccer league during the period of 1983-2013. Among them, our final sample is comprised of 226 observations and 81 coaches manifested for fixed-effect generalized least square (GLS) regression analysis. Drawing on sport management literatures and organizational learning theory, we argue that it takes time for a new head coach to take charge of the team in which the new leader who secure more time to interact with organization members is better able to remodel and improve team performance. Our empirical findings reveal that off-season coach turnover has a positive impact while turnover during the season has its negative influences on team performance. In addition, we find that subsequent team performance in association of off-season coach turnover is comparably better than that of on-season succession. The results show that coach succession rendered from inside the professional soccer team mediates the relationship between coach turnover and team performance. Our findings imply that coach turnover in professional sport teams is a significant factor affecting team performance.

A View of Church Lifelong Education as a Community Missionary Tool (지역사회 선교도구로서의 교회평생교육 조망)

  • Su-Jin Park;Ji-youn Shim;Bork-hee Lee
    • Journal of Christian Education in Korea
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    • v.74
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    • pp.209-225
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    • 2023
  • The demand for lifelong education is increasing. Individuals, organizations, and groups are creating an environment where anyone can learn anytime, anywhere while conducting educational and learning activities. The propagation of Christianity in Korea began with education. For churches that own various human and material resources, their functions and roles in the region are more important. Therefore, the purpose of this study is to explore the role and function of church lifelong education in the community to view church lifelong education as a mission tool. It examines the significance of church lifelong education, the biblical basis for church lifelong education, and the history of church lifelong education. It also examines the role of the church in the community and its functional basis for lifelong education. I would like to present the meaning of church lifelong education as a community mission tool. Through the practice of church lifelong education, local residents have a positive perception of the church, and it can be seen that the church provides an opportunity for evangelism. It is now necessary for churches with various advantages to implement lifelong education to revitalize church lifelong education as a missionary tool for local missionary work.

Application of Self-Organizing Map for the Analysis of Rainfall-Runoff Characteristics (강우-유출특성 분석을 위한 자기조직화방법의 적용)

  • Kim, Yong Gu;Jin, Young Hoon;Park, Sung Chun
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.26 no.1B
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    • pp.61-67
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    • 2006
  • Various methods have been applied for the research to model the relationship between rainfall-runoff, which shows a strong nonlinearity. In particular, most researches to model the relationship between rainfall-runoff using artificial neural networks have used back propagation algorithm (BPA), Levenberg Marquardt (LV) and radial basis function (RBF). and They have been proved to be superior in representing the relationship between input and output showing strong nonlinearity and to be highly adaptable to rapid or significant changes in data. The theory of artificial neural networks is utilized not only for prediction but also for classifying the patterns of data and analyzing the characteristics of the patterns. Thus, the present study applied self?organizing map (SOM) based on Kohonen's network theory in order to classify the patterns of rainfall-runoff process and analyze the patterns. The results from the method proposed in the present study revealed that the method could classify the patterns of rainfall in consideration of irregular changes of temporal and spatial distribution of rainfall. In addition, according to the results from the analysis the patterns between rainfall-runoff, seven patterns of rainfall-runoff relationship with strong nonlinearity were identified by SOM.

Implementation of reliable dynamic honeypot file creation system for ransomware attack detection (랜섬웨어 공격탐지를 위한 신뢰성 있는 동적 허니팟 파일 생성 시스템 구현)

  • Kyoung Wan Kug;Yeon Seung Ryu;Sam Beom Shin
    • Convergence Security Journal
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    • v.23 no.2
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    • pp.27-36
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    • 2023
  • In recent years, ransomware attacks have become more organized and specialized, with the sophistication of attacks targeting specific individuals or organizations using tactics such as social engineering, spear phishing, and even machine learning, some operating as business models. In order to effectively respond to this, various researches and solutions are being developed and operated to detect and prevent attacks before they cause serious damage. In particular, honeypots can be used to minimize the risk of attack on IT systems and networks, as well as act as an early warning and advanced security monitoring tool, but in cases where ransomware does not have priority access to the decoy file, or bypasses it completely. has a disadvantage that effective ransomware response is limited. In this paper, this honeypot is optimized for the user environment to create a reliable real-time dynamic honeypot file, minimizing the possibility of an attacker bypassing the honeypot, and increasing the detection rate by preventing the attacker from recognizing that it is a honeypot file. To this end, four models, including a basic data collection model for dynamic honeypot generation, were designed (basic data collection model / user-defined model / sample statistical model / experience accumulation model), and their validity was verified.