• Title/Summary/Keyword: 역량모델링

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Comparative Study of Information Literacy Education and Librarian Teacher Evaluation Index in Teachers' Competency Development Evaluation (정보활용교육 주요 토픽과 교원능력개발평가 사서교사 평가지표 비교 연구)

  • Lee, Min-Soo;Kim, Hea-Jin
    • Journal of Korean Library and Information Science Society
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    • v.53 no.3
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    • pp.455-477
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    • 2022
  • This study aimed to compare and analyze librarian teacher evaluation index from evaluation of teachers' competency development with the the topics of information utilization education. To this end, LDA topic modeling was conducted by collecting papers related to information utilization education published in four major journals in the field of literature and information from 1995 to May 2022. As a result of topic modeling, it can be seen that information utilization education (T10) was the most actively discussed at 12.0% of the 20 topics, followed by library utilization classes (T2) 10.4% and user service (T3) 8.8%.On the other hand, 3.3% of reading discussion (T7), 2.9% of reading education (T19), 2.1% of manpower management (T13), and 2.1% of librarian teacher job satisfaction (T17) showed the lowest distributions 3.3%, 2.9%, 2.1%, and 2.1%, respectively. In addition, although librarian teacher's class model development (T1) and curriculum development (T20) are essential processes for collaborative classes and information utilization education, they were not reflected in the current teacher competency development evaluation index. Therefore, this study proposed that 'instructional model and curriculum development' indicator should be added on 'training and support classes' factors in the Librarian Teacher Evaluation Index in Teachers' Competency Development Evaluation for further evaluation.

Reconstruction and application of reforming textbook problems for mathematical modeling process (수학적 모델링 과정을 반영한 교과서 문제 재구성 예시 및 적용)

  • Park, SunYoung;Han, SunYoung
    • The Mathematical Education
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    • v.57 no.3
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    • pp.289-309
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    • 2018
  • There has been a gradually increasing focus on adopting mathematical modeling techniques into school curricula and classrooms as a method to promote students' mathematical problem solving abilities. However, this approach is not commonly realized in today's classrooms due to the difficulty in developing appropriate mathematical modeling problems. This research focuses on developing reformulation strategies for those problems with regard to mathematical modeling. As the result of analyzing existing textbooks across three grade levels, the majority of problems related to the real-world focused on the Operating and Interpreting stage of the mathematical modeling process, while no real-world problem dealt with the Identifying variables stage. These results imply that the textbook problems cannot provide students with any chance to decide which variables are relevant and most important to know in the problem situation. Following from these results, reformulation strategies and reformulated problem examples were developed that would include the Identifying variables stage. These reformulated problem examples were then applied to a 7th grade classroom as a case study. From this case study, it is shown that: (1) the reformulated problems that included authentic events and questions would encourage students to better engage in understanding the situation and solving the problem, (2) the reformulated problems that included the Identifying variables stage would better foster the students' understanding of the situation and their ability to solve the problem, and (3) the reformulated problems that included the mathematical modeling process could be applied to lessons where new mathematical concepts are introduced, and the cooperative learning environment is required. This research can contribute to school classroom's incorporation of the mathematical modeling process with specific reformulating strategies and examples.

Research on System Architecture and Methodology based on MITRE ATT&CK for Experiment Analysis on Cyber Warfare Simulation

  • Ahn, Myung Kil;Lee, Jung-Ryun
    • Journal of the Korea Society of Computer and Information
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    • v.25 no.8
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    • pp.31-37
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    • 2020
  • In this paper, we propose a system architecture and methodology based on cyber kill chain and MITRE ATT&CK for experiment analysis on cyber warfare simulation. Threat analysis is possible by applying various attacks that have actually occurred with continuous updates to reflect newly emerging attacks. In terms of cyber attack and defense, the current system(AS-IS) and the new system(TO-BE) are analyzed for effectiveness and quantitative results are presented. It can be used to establish proactive cyber COA(Course of Action) strategy, and also for strategic decision making. Through a case study, we presented the usability of the system architecture and methodology proposed in this paper. The proposed method will contribute to strengthening cyber warfare capabilities by increasing the level of technology for cyber warfare experiments.

A Study on Developing CT through Physical Computing : Implications of 3D Printing Class using Codeblocks® (피지컬 컴퓨팅을 통한 CT역량 계발 연구 : 코드블록® 활용 3D 프린팅 수업의 시사점)

  • Choi, Hyungshin
    • Journal of The Korean Association of Information Education
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    • v.23 no.3
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    • pp.219-227
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    • 2019
  • The educational method of physical computing, where students can experience software programming principles and practices while making concrete objects beyond outputs residing just inside of computer monitors, are drawing attentions. This current research sought an instructional method for pre-service teachers that they can experience 3D printing and modeling and at the same time they can understand programming principles in the 3D modeling processes. To achieve this aim, the TinkerCAD $Codeblocks^{(R)}$ was analyzed based on the computational thinking framework and a course utilizing the $Codeblocks^{(R)}$ to 3D modeling was devised. The designed class was applied to pre-service teachers and the students' perceptions of the class were collected by using a semi-structured survey. This study provides implications to software education for pre-service teachers as an instructional case that 3D printing is used to connecting computational thinking skills.

Investigating the Trends of Research for the Platform Work (플랫폼노동 연구 동향 분석)

  • Bang, Mi-Hyun;Lee, Young-Min
    • The Journal of the Korea Contents Association
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    • v.21 no.3
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    • pp.430-440
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    • 2021
  • We analyzed research trends of 288 Korean academic dissertations and articles regarding platform work, using topic modeling and keyword network analysis method. Research disciplines of many studies were laws, business administration, and economics fields. Thigh frequent themes were platform labor protection measures and direct or indirect effects of the sharing economy. The main keywords were digital, value, industry, and labor in terms of infrastructure and structural change. Besides, the main topics were the protection of platform workers, the values of sharing services, digital paradigm, and platform regulations. Based on the results of the analysis, we derived four implications and suggestions such as researching structural frames in macroscopic contexts, generalizing case analysis, and technology supplementation by applying average and quantitative analysis methods, researching individual competency development to realize the essential symbiotic value of sustainability, and developing customized vocational education and training programs.

Investigating the Trends of Research for the Small Business Owners (소상공인 연구 동향 분석)

  • Bang, Mi-Hyun;Lee, Young-Min
    • The Journal of the Korea Contents Association
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    • v.22 no.7
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    • pp.73-80
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    • 2022
  • In this study, prior studies of 280 small business owners in Korea over the past two decades were comprehensively analyzed through keyword network and LDA topic modeling analysis, and overall views and trends in academia were examined. As core keywords, "sales" and "protection," which conflict with each other but are essential for stable and sustainable growth were selected, and 7 topics (Topic 1: start-up, topic 2: digital, topic 3: tax system, topic 4: capability, topic 5: coexistence, topic 6: regulation, and topic 7: funding) were drawn up. Based on the results of the analysis, the need to improve digital maturity for the continued growth and development of small business owners was raised, and the response at the pan-ministerial level and the stability of the performance of functions that can survive even after the new administration to solve the economic damage problems facing small business owners were suggested. In addition, attention to the long-term, speed, detail, and direction of government support in a new way, and a flexible approach to the negative way in which pre-allowance and post-regulation is given were suggested.

Analysis of Research Trends Using Text Mining (텍스트 마이닝을 활용한 연구 동향 분석)

  • Shim, Jaekwoun
    • Journal of Creative Information Culture
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    • v.6 no.1
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    • pp.23-30
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    • 2020
  • This study used the text mining method to analyze the research trend of the Journal of Creative Information Culture(JCIC) which is the journal of convergence. The existing research trend analysis method has a limitation in that the researcher's personality is reflected using the traditional content analysis method. In order to complement the limitations of existing research trend analysis, this study used topic modeling. The English abstract of the paper was analyzed from 2015 to 2019 of the JCIC. As a result, the word that appeared most in the JCIC was "education," and eight research topics were drawn. The derived subjects were analyzed by educational subject, educational evaluation, learner's competence, software education and maker culture, information education and computer education, future education, creativity, teaching and learning methods. This study is meaningful in that it analyzes the research trend of the JCIC using text mining.

An Analysis of Artificial Intelligence Education Research Trends Based on Topic Modeling

  • You-Jung Ko
    • Journal of the Korea Society of Computer and Information
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    • v.29 no.2
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    • pp.197-209
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    • 2024
  • This study aimed to analyze recent research trends in Artificial Intelligence (AI) education within South Korea with the overarching objective of exploring the future direction of AI education. For this purpose, an analysis of 697 papers related to AI education published in Research Information Sharing Service (RISS) from 2016 to November 2023 were analyzed using word cloud and Latent Dirichlet Allocation (LDA) topic modeling technique. As a result of the analysis, six major topics were identified: generative AI utilization education, AI ethics education, AI convergence education, teacher perceptions and roles in AI utilization, AI literacy development in university education, and AI-based education and research directions. Based on these findings, I proposed several suggestions, (1) including expanding the use of generative AI in various subjects, (2) establishing ethical guidelines for AI use, (3) evaluating the long-term impact of AI education, (4) enhancing teachers' ability to use AI in higher education, (5) diversifying the curriculum of AI education in universities, (6) analyzing the trend of AI research, and developing an educational platform.

A study on the Effect of Mentoring Skills and Mentoring Functions on Initial Start-up Performance and Satisfaction (멘토의 역량과 멘토링 기능이 창업의 초기성과만족도에 미치는 영향에 관한 연구)

  • Bang, Hye-Min;Jeon, In-Oh
    • The Journal of the Korea Contents Association
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    • v.15 no.5
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    • pp.444-454
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    • 2015
  • This study reports on initial founder performance and satisfaction that is affected by mentoring skills and mentoring functions. Through the empirical analysis, seen the initial founder performance and satisfaction as a respective dependent variable, this study intends to provide efficient direction of the responsibility mentor and present a method that enhances the survival of the initial start-up founder. The frequency analysis was conducted to determine the general characteristics of the sample, by leveraging the statistical package SPSS 20.0 for Windows program, details of the items measuring tools present a statistical analysis of sample data, 120 people have gathered in the survey data for this factor analysis was performed with a correlation to classify each region was calculated to Cronbach's ${\alpha}$ factor to determine the reliability of the measurement tool, and tested the hypothesis using linear regression analysis for verification. Was found to play an important role to draw the founder and mentor mentoring skills and capabilities in early stage start-ups, and conclusions drawn from this process. In particular, modeling of the mentor with a sound mind and behavior brought the better performance and satisfaction of the initial start-up founder. If a mentor provides mentoring with more interests in career development and psychosocial functions of the mentoring functions, it is seen to be more efficient way to improve survival rate of initial start-up as well as increasing a founder's performance and satisfaction.

A Study on the Changing Role of Public Libraries by the Case Studies of Community of Practice (실행공동체 사례연구를 통한 공공도서관 역할 변화에 관한 연구)

  • Park, Seong-Woo
    • Journal of Korean Library and Information Science Society
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    • v.47 no.4
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    • pp.339-358
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    • 2016
  • This study is to demonstrate that public libraries help community to become an active 'Community of Practice(CoP)'. In order to prove this hypothesis, 'Libraries Transforming Communities(LTC)' initiative of American Library Association is analyzed. Public libraries participating in LTC program solved problems of communities through making CoPs by librarians as a catalyst. People's recognition about public libraries is altered by the problem-solving practice. The followings are 4-level transforming relationship model of public library and community: Leadership Development for Librarian CoPs; Librarian CoPs for improving library services; Community CoPs with library for solving problems; Community as CoP.