• Title/Summary/Keyword: 도서관 적용

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Development of Classification System and Online Service Methods for Collections in Larchiveum-Type Institutions: The Case of the National Memorial of the Korean Provisional Government (라키비움 형식의 기관 소장 자료에 관한 분류체계 개발 및 온라인 서비스 방안: 국립대한민국임시정부기념관을 사례로)

  • Hyeyun Lee;Hae-young Rieh
    • Journal of Korean Society of Archives and Records Management
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    • v.24 no.2
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    • pp.113-137
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    • 2024
  • In this study, considering the National Memorial of the Korean Provisional Government as a "Larchiveum," the researchers attempted to develop a classification system that can comprehensively categorize various types of materials and propose a method of providing an online service. To this end, as a case study, the researchers examined the classification system structure and contents of the National Archives of Korea, National Assembly Archives, and Archives of Korean History of the National Institute of Korean History, which are the current material collection institutions of the Korean Provisional Government. Regarding online services, apart from the three institutions above, the Imperial War Museum and the Hoover Institution at Stanford University were also explored. Through the implications derived from the case analysis of domestic and foreign institutions, a basic hierarchical classification system by provenance for the materials held by the institution was established, and a multi-classification system was presented according to the classification criteria of "by type, by era, and by subject." In addition, methods of applying the developed classification system to online services were proposed.

A Design of Experience-based Reading Program for the Struggling Readers: Methods and Effects (읽기부진아를 위한 체험형 독서프로그램 설계 - 방법 및 효과 -)

  • Kim, Soo-Yeon;Kang, Jeong-Ah
    • Journal of the Korean Society for Library and Information Science
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    • v.46 no.3
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    • pp.157-180
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    • 2012
  • The purposes of this study are to design and apply an experienced-based reading program using picture books for the struggling readers to improve their reading ability; and to analyze and verify how this program influences their self-esteem. The final objects of this study are 53 struggling readers who are 1-4th graders in 8 elementary schools. For this, the specific goals are set up as follows: First, an experience-based reading program using ADDIE teaching design model and Kolb's experience learning cycle are planned and developed to improve reading abilities and self-esteem of the struggling readers. Second, it also aimed to clarify how the experience-based reading program using picture books influence the struggling readers' self-esteem in affective ones. As a result, this experience-based reading program using picture books is effective on improving the struggling readers' self-esteem, generally. Although the degree of improvement is different from each of the subordinate factors, the overall scores of self-esteem are raised. This study suggests that an experience-based reading program using picture books is appropriate for improving the affective characteristics of the struggling readers. And it is also needed to produce a research manual to get the same test condition that prescribes the methods of pre-test and post-test.

Comparative Analysis of Korean Universities' Co-author Credit Allocation Standards on Journal Publications (국내대학의 학술논문 공동연구 기여도 산정 기준 비교 분석)

  • Lee, Hyekyung;Yang, Kiduk
    • Journal of Korean Library and Information Science Society
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    • v.46 no.4
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    • pp.191-205
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    • 2015
  • As the first step in developing the optimal co-authorship allocation method, this study investigated the co-authorship allocation standards of Korean Universities on journal publications. The study compared the standards of 27 Korean universities with Library and Information Science (LIS) departments, and analyzed author rankings generated by applying inflated, fractional, harmonic, and university standard method of co-authorship allocation to 189 Korean LIS faculty publications from 2001 to 2014. The university standards most similar to the standard co-authorship allocation method in bibliometrics(i.e. Vinkler) were those whose co-author credits summed up to 1. However, the university standards differed from Vinkler's in allocating author credits based on primary and secondary author classification instead of allocation based on author ranks. The statistical analysis of author rankings showed that the harmonic method was most similar to the university standards. However, the correlation between the university standards whose co-author credits summed up to greater than 1 and harmonic method was lower. The study results also suggested that middle-level authors are most sensitive to co-authorship allocation methods. However, even the most generous university standards of co-authorship allocation still penalizes collaborative research by reducing each co-authors credit below those of single authors. Follow-up studies will be needed to investigate the optimal method of co-authorship credit allocation.

Metadata Management for E-Commerce Transactions in Digital Library (디지털 도서관에서 전자상거래 트랜잭션을 위한 메타데이타 관리 기법)

  • Choe, Il-Hwan;Park, Seog
    • Journal of KIISE:Databases
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    • v.29 no.1
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    • pp.34-43
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    • 2002
  • Since traditional static metadata set like Dublin Core has static metadata attributes about bibliography information, integration of metadata for various metadata, problems about standard and extension of metadata must be considered for applying it to new environment. Specially, as event-driven metadata write method included the notion of e-commerce come out for interoperability in digital libraries, traditional metadata management which cannot distinguish between different kinds of update operations to new extension of metadata set occurs unsuitable waiting of update operation. So, improvement is needed about it. In this paper, we show whether alleviative transaction consistency can be applied to digital library or not. Also it would divide newer metadata into static metadata attribute connected in read operation within user read-only transaction and dynamic metadata attribute in update operation within dynamic(e-commerce) update transactions. We propose newer metadata management algorithm considered in classfication of metadata attributes and dynamic update transaction. Using two version for minimal maintenance cost and ARU(Appended Refresh Unit) for dynamic update transaction, to minimize conflict between read and write operations shows fast response time and high recency ratio. As a result of the performance evaluation, we show our algorithm is proved to be better than other algorithms in newer metadata environments.

An Interactive Knowledge-based Planning System (인터렉티브 지식베이스 기반의 계획시스템)

  • Jeon, Hyoung-Bae;Han, Eun-Ji;Um, Ky-Hyun;Cho, Kyung-Eun
    • Journal of Korea Game Society
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    • v.9 no.3
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    • pp.139-150
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    • 2009
  • This paper attempts to investigate the establishment of an interactive knowledge base for action planning by virtual agents and an interactive knowledge-based planning system. A fixed knowledge base is unable to properly handle a change in circumstances because fixed planning is only available under a fixed knowledge base. Therefore, this paper proposes the establishment of an interactive knowledge base which is applicable to diverse environments and an artificial intelligence planning system in which an interactive knowledge base is available. The interactive knowledge base proposed in this paper consists of motivation, behavior, object and action. The association relationship between knowledge base and its input is set using an automation tool. With this tool, a user can easily add to or amend the components of the knowledge base. With this knowledge base, a character plans all action items and chooses one of them to take an action. Since a new action can be applicable by updating the knowledge base even when the character environment changes, it is very useful for virtual reality content developers. This paper has established a relationship between scalable interactive knowledge base components and other components and proposes a convenient input tool and a planning system algorithm effective for an interactive knowledge base. The results of this study have been verified through testing in a virtual environment ('virtual library').

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A Study on Methods of Implementation for the NRF Open Access Policy (한국연구재단 오픈액세스 정책 실행방안 연구)

  • Joung, KyoungHee;Lee, Jae Yun;Chung, EunKyung;Choi, Sanghee
    • Journal of the Korean Society for information Management
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    • v.37 no.4
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    • pp.255-286
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    • 2020
  • This study aims to identify the methods of implementation for the 'National Research Foundation of Korea Open Access 2021(Plan)'. This study covers the methods of implementation in the three following core items: 1) developing the details on the amount, method, and procedures of APC support; 2) proposing methods for facilitating the transition of domestic Korean academic journals to open access journals; and 3) developing methods of entrusting papers to open access repositories. APC support should be guaranteed at a reasonable level. The average or median of APC values for the previous three years will be applied to set the upper limit for support each year. APC support will be provided when the paper is published to open access journals or transitioning journals to open access. Hybrid journals or dual access journals are not included. Support for open access publishing of academic journals in Korea during the transition period will be available for open access journals that have registered for CCL in KJCI or journals that have submitted their application for transitioning to open access. Publishing in hybrid, dual access or subscription-based journals must be accompanied by items related to copyright such as embargo. Research results will be used for the detailed implementation plan of 'NRF OA2021 (Plan)'. They will serve as the base data for the rapid, stable, and sustainable implementation of open access policy in NRF, addressing the Korean domestic academic journal publishing environment and the field of international academic communication.

Factors Influencing the Online Learning Behaviors of Middle School Students in South Korea (한국 중학생의 온라인 학습 행동에 영향을 미치는 요인)

  • Na, Kyoungsik;Jeong, Yongsun
    • Journal of Korean Library and Information Science Society
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    • v.53 no.3
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    • pp.263-285
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    • 2022
  • This study presented the factor analysis on constructing the new factors affecting the middle school students' online learning behaviors from the questionnaires employed among middle school students. A total of 204 students participated and the data were collected in South Korea. The sample of middle school ninth-grade students was selected and used through purposive sampling. Findings from the factor analysis provided evidence for the eight-factor solution for the 35-items accounting for 66.15% of the shared variance. A wide range of factors has been considered to identify students' online learning behaviors. The appropriate experience and use of e-learning in the middle school period is also important as it will be a critical stepstone for future education. This research provides information that has been taken into account for advancing online learning to enhance the quality of e-learning systems for middle school students. The study results provided eight new factors affecting the middle school students' online learning behaviors; that is 1) communication using social media as a learning tool, 2) intention to share information using ICT, 3) addiction of technology, 4) adoption of technology, 5) seeking information using ICT, 6) use of social media learning, 7) information search using ICT, and 8) immersion of technology. This study confirmed that middle school students prefer communication using social media as a learning tool, and value intention to share information using ICT for the most part. The data obtained based on factor analysis can highlight the online learning behaviors towards a mixture of social media learning and ICT to ensure a new educational platform for the future of e-learning. This research expects to be useful for both middle schools of online learning to better understand students' online learning behaviors and design online learning environments and information professionals to better assist students who particularly need digital literacy.

Development of Scaffolding Strategies Model by Information Search Process (ISP) (정보탐색과정(ISP)에 의한 스캐폴딩 전략 모형 개발)

  • Jeong-Hoon Lim
    • Journal of Korean Library and Information Science Society
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    • v.54 no.1
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    • pp.143-165
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    • 2023
  • This study aims to propose a scaffolding strategy that can be applied to the information search process by using Kuhlthau's ISP model, which presented a design and implementation strategy for the mediation role in the learning process. To this end, the relevant literature was reviewed to categorize scaffolding strategies, and impressions were collected from the students surveys after providing 150 middle school students in the Daejeon area with the project class to which the scaffolding strategy based on the ISP model was applied. The collected data were processed into a form suitable for analysis through data preprocessing for word frequencies to be extracted, and topic analysis was performed using STM (Structural Topic Modeling). First, after determining the optimal number of topics and extracting topics for each stage of the ISP model, the extracted topics were classified into three types: cognitive domain-macro perspective, cognitive domain-micro perspective, and emotional domain perspective. In this process, we focused on cognitive verbs and emotional verbs among words extracted through text mining, and presented a scaffolding strategy model related to each topic by reviewing representative document cases. Based on the results of this study, if an appropriate scaffolding strategy is provided at the ISP model stage, a positive effect on learners' self-directed task solving can be expected.

A Systematic Review of the Effects of Visual Perception Interventions for Children With Cerebral Palsy (뇌성마비 아동에게 시지각 중재가 미치는 효과에 대한 체계적 고찰)

  • Ha, Yae-Na;Chae, Song-Eun;Jeong, Mi-Yeon;Yoo, Eun-Young
    • Therapeutic Science for Rehabilitation
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    • v.12 no.2
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    • pp.55-68
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    • 2023
  • Objective : This study aims to analyze the effects of visual perception intervention by systematically reviewing the studies that applied visual perception intervention to children with cerebral palsy. Methods : The databases used were PubMed, EMbase, Science Direct, ProQuest, Koreanstudies Information Service System (KISS), Research Information Sharing Service (RISS), and the National Assembly Library. The keywords used were cerebral palsy, CP, and visual perception. According to the PRISMA flowchart, 10 studies were selected from among studies published from January 1, 2012 to March 30, 2022. The quality level of the selected studies, the demographic characteristics of study participants, the effectiveness of interventions, area and strategies of intervention, assessment tools to measure the effectiveness of interventions, and risk of bias were analyzed. Results : All selected studies confirmed that visual perception intervention was effective in improving visual perception function. In addition, positive results were shown in upper extremity function, activities of daily living, posture control, goal achievement, and psychosocial areas as well as visual perception function. The eye-hand coordination area was intervened in all studies. Conclusion : In visual perception intervention, It is necessary to evaluate the visual perception function by area, and apply systematically graded customized interventions for each individual.

Performance Comparison of Automatic Classification Using Word Embeddings of Book Titles (단행본 서명의 단어 임베딩에 따른 자동분류의 성능 비교)

  • Yong-Gu Lee
    • Journal of the Korean Society for information Management
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    • v.40 no.4
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    • pp.307-327
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    • 2023
  • To analyze the impact of word embedding on book titles, this study utilized word embedding models (Word2vec, GloVe, fastText) to generate embedding vectors from book titles. These vectors were then used as classification features for automatic classification. The classifier utilized the k-nearest neighbors (kNN) algorithm, with the categories for automatic classification based on the DDC (Dewey Decimal Classification) main class 300 assigned by libraries to books. In the automatic classification experiment applying word embeddings to book titles, the Skip-gram architectures of Word2vec and fastText showed better results in the automatic classification performance of the kNN classifier compared to the TF-IDF features. In the optimization of various hyperparameters across the three models, the Skip-gram architecture of the fastText model demonstrated overall good performance. Specifically, better performance was observed when using hierarchical softmax and larger embedding dimensions as hyperparameters in this model. From a performance perspective, fastText can generate embeddings for substrings or subwords using the n-gram method, which has been shown to increase recall. The Skip-gram architecture of the Word2vec model generally showed good performance at low dimensions(size 300) and with small sizes of negative sampling (3 or 5).