Journal Of Korean Biblia Society for Library and Information Science
- P-ISSN1229-2435
- E-ISSN2799-4767
- KCI
Vol.36 No.4
Abstract
This study empirically examined the effects of digital transformation perception on user satisfaction and intention to continue use among middle-aged public library users. Structural equation modeling results revealed that digital communication and organizational culture, online/mobile services, and data-driven operations had significant positive effects on both user satisfaction and continued use intention, while digital technology adoption showed no significant effect on continued use intention. Moreover, user satisfaction played a key mediating role in shaping continued use intention. These findings suggest that user experience and trust-based services, rather than mere technology-driven innovation, are the core drivers for strengthening long-term user relationships. The study provides strategic implications for improving digital services in public libraries and for enhancing digital accessibility for middle-aged users.
Abstract
This study was conducted to analyze the factors of Innovation Diffusion Theory (IDT) that influence the intention to use generative AI in library practice and to identify the mediating effect of acceptance attitude. An online survey was administered to librarians who had experience using generative AI in library practice. The independent variables were five innovation diffusion characteristics: relative advantage, compatibility, complexity, trialability, and observability. The dependent variable was intention to use, and the mediating variable was acceptance attitude. Data analysis verified causal relationships and mediating effects through descriptive statistics, factor analysis, and multiple regression analysis. Analysis of questionnaires from 175 respondents revealed that the factors significantly influencing the intention to use generative AI were relative advantage, compatibility, and observability in order. Analysis of the mediating effect of acceptance attitude confirmed that relative advantage, compatibility, and observability had mediating effects on the relationship with continuous intention to use. Notably, among the innovation diffusion factors, compatibility and observability demonstrated complete mediating effects. This study tries to contribute to establishing strategies for the diffusion of generative AI technology by empirically analyzing the innovation diffusion factors that affect acceptance attitude and intention to use generative AI in library settings.
Abstract
This study explored elementary school students’ experiences of using public libraries based on their narratives. It also aimed to interpret the underlying meanings of their images of public libraries and suggest appropriate service strategies for children. Twenty fifth and sixth grade students (10 per grade) from A Elementary School in City A, Gyeonggi Province, participated in the study. The narrative inquiry process followed the procedures of Clandinin & Connelly. The analysis and interpretation of the results were conducted using the open coding procedure of grounded theory proposed by Strauss & Corbin. This process subdivided and conceptualized meaning units, categorizing them into categories and themes. The results revealed that elementary school students’ impressions of public libraries encompassed emotional, functional, and architectural dimensions, with a focus on emotional experiences, life functions, and social relationships. Overall, the public library image was defined by 240 concepts, 59 categories, and 33 themes.
Abstract
The study aims to examine university students’ perceptions and needs about both character education in the university and university library-based character education. Using a survey method, data were collected from 178 students enrolled at universities in region A. The study found that 91% of students agreed on the necessity of character education in the university context, and they demanded relational virtues as core contents. Also, the students perceived the university library’s existing information-literacy instruction, reading education, and service learning programs as the activities most closely aligned with character education. Among delivery modes, the students most preferred regular library-administered programs. Moreover, they preferred instructional approaches such as service-learning, discussion, and case-based learning. They favored the methods of evaluation through self-reflection, peer-reviewed assessment, and observation with checklists. Based on these findings, the study recommends: a shift in librarians’ perceptions toward actively providing character education programs, strategies for advancing and upgrading related services, approaches to more effective promotion, and methods for developing segmentation strategies tailored to users’ characteristics and needs.
Abstract
This study proposes an intelligent framework that applies AI technologies throughout the entire process of collecting, managing, and utilizing oral history materials to enhance the efficiency and quality of oral documentation. Oral records consist of unstructured data, making them difficult to organize and search, and key procedures—such as transcription, verification, and content analysis—have therefore relied heavily on manual labor. To overcome these limitations, this study designs an integrated intelligent process that combines Speech-to-Text (STT) technology with Large Language Models (LLMs). Specifically, keyword boosting based on a domain-specific glossary was used to improve recognition accuracy for local proper nouns, and LLM-based automatic correction of punctuation and misrecognized words ensured consistency and accuracy in transcripts. In addition, generative AI was employed to automatically extract key terms, named entities, and summaries, and to structure this information to enable semantic linkages across oral records. Applying this model to oral history materials produced in an actual community documentation project demonstrated improvements in the automation efficiency of transcription and analysis, as well as more refined contextual understanding of oral content. This study shows that the paradigm of oral record management can shift from traditional manual “description” workflows to an “intelligent utilization-centered” model and provides foundational academic and practical insights for building intelligent oral archives in the future.
Abstract
This study was carried out to propose improvement strategies for Korean medical librarians’ educational program in Systematic Review (SR) by comparing and analyzing domestic and international SR educational programs for medical librarians. Eight specific items were analyzed through three categories: educational design fundamentals, educational implementation system, and educational management and development. As a result, the analysis showed that domestic programs had improvement needs in all categories when compared with international programs. Based on these findings, seven developmental strategies were proposed: ① ensuring educational consistency and establishing brand identity, ② extending and deepening curricular frameworks with integration of international standards, ③ diversifying educational methods, ④ building a systematic evaluation system, ⑤ establishing sustainable support frameworks and infrastructure for educational management, ⑥ enhancing domestic and international cooperation and developing AI response capabilities, ⑦ transforming perceptions of medical librarians.
Abstract
This study examines research trends on local archives using articles retrieved from SCOPUS. The analysis shows that scholarly interest remained minimal until the 1990s but increased notably in the 2000s, with 88% of all publications appearing after 2010, indicating rapid growth over the past two decades. Journal-level analysis using SCOPUS subject classifications identified the major disciplinary areas contributing to local archive research, while article-level keyword network analysis revealed core themes and their interrelationships. Overall, local archive studies have evolved through a convergence of record-centered research with cultural heritage and regional studies, alongside a growing body of work related to digital archives.
Abstract
This study examines the impact of Artificial Intelligence (AI) technologies on library environments and provides an in-depth analysis of the ethical challenges and issues—particularly data bias—that library information services face in the AI era. By synthesizing and critically reviewing a broad body of literature, the study offers insights into the roles that libraries and librarians must assume to address these challenges and presents recommendations for the strategic transformation of library information services. The research addresses three key questions: (1) how AI technologies are transforming core library services; (2) what ethical issues emerge throughout this transformation; and (3) how to present strategic and policy directions for the stable implementation of AI technologies in library service environments. Based on this analysis, the study proposes directions for the strategic role transition of libraries and information professionals to ensure the responsible and stable integration of AI technologies into library service environments. The findings emphasize that libraries must move beyond the passive adoption of AI and position themselves as responsible agents in addressing ethical issues arising from AI-driven systems. The study highlights the growing importance of critical literacy within increasingly diversified literacy education frameworks and underscores the need for a comprehensive ethical governance structure - including clear guidelines and algorithmic auditing procedures - across all stages of AI implementation.
Abstract
While the 2022 Revised Curriculum explicitly mandates knowledge information processing and collaborative communication as core competencies, the PISA 2022 results corroborate that Korean students’ capabilities in critical information evaluation remain stagnant. This discrepancy stems from structural limitations where current information literacy education remains at the level of acquiring isolated information, failing to provide learners with opportunities to contextually connect knowledge and reconstruct it collaboratively. To address this challenge, this study proposes ‘Collaborative Knowledge Organization (CKO)’ as a practical alternative and aims to devise a strategic framework for its implementation in school settings.The research methodology employed a parallel approach of literature review and qualitative research (FGI). The literature review established the theoretical consistency of CKO based on social constructivism and metacognition theories, while the empirical study involved in-depth analysis of the field context through Focus Group Interviews (FGI) with nine experts, including teacher librarians, subject teachers, and education specialists. The analysis identified multifaceted structural constraints, including one-off operations, insufficient linkage with evaluation, and the absence of collaborative systems. Based on these findings, the study structured the key mechanisms derived from FGI into ‘Visualization,’ ‘Cyclic Interaction,’ and ‘Collaborative Refinement,’ designing a three-layered CKO execution framework comprising ‘Foundation,’ ‘Process,’ and ‘Goal.’ This study holds significance in redefining CKO not as an individual teacher’s competence but as an institutional collaborative mechanism within the school curriculum. Ultimately, this framework presents concrete execution criteria to complement the realistic constraints of information literacy education and to drive its practical and institutional settlement.
Abstract
This study analyzed the actual features of EduTech-integrated instruction implemented in school libraries and the perceptions of teacher librarians through in-depth interviews amid accelerated digital transformation in education. Drawing on the directions set by the 2022 Revised National Curriculum and the Fourth Comprehensive Plan for the Promotion of teacher Libraries, the study focused on teacher librarians’ motivations and rationales for adopting EduTech, their instructional design approaches and implementation strategies, and the changes observed in students’ learning processes—participation, use of digital literacy, production of creative outcomes and collaborative activities. The participants were five middle and high teacher teacher-librarians selected through purposive sampling on the basis of their experience in conducting EduTech-integrated lessons and their instructional design competence. Analysis of the interviews showed that the teacher-librarians decided to introduce EduTech through the interplay of policy and curriculum requirements, school organizational conditions, and their individual professional expertise, and they restructured their lessons by applying an instructional design that aligned learning objectives, tool selection, learning activities, assessment, and feedback. Students’ engagement in class, practical application of digital literacy, and ability to collaboratively produce creative products improved, whereas a shortage of devices, unstable Wi-Fi connectivity, and disparities in students’ information technology skills constrained the effectiveness of the lessons. The teacher-librarians reconceptualized their role from providers of resources to instructional designers and digital literacy educators and proposed the need for increased financial and institutional support and regular professional development programs for teachers to sustain such practices.
Abstract
The emergence of Generative Artificial Intelligence(AI) has fundamentally transformed the information environment, consequently reshaping what constitutes information literacy. In response to these changes, this study attempts to expand the Framework for Information Literacy for Higher Education by the Association of College and Research Libraries (ACRL), by analyzing and reinterpreting its core concepts within the contemporary context of the AI era. To achieve this objective, a conceptual analysis was conducted employing the method of Theory Adaptation. The findings indicate that although the original six frames of the ACRL Framework remain relevant in the age of AI, their meanings and scopes require more precise reinterpretation in light of the distinctive characteristics of AI-driven information environments. Furthermore, to address theoretical gaps identified through literature analysis, the study proposes two additional frames: “Frame 7: Algorithms Reflect Human Values” and “Frame 8: Data Entails Ethical Responsibilities,” emphasizing the value-laden nature of algorithms and the ethical responsibilities associated with data practices. This study contributes to the ongoing discourse by offering a renewed theoretical foundation for information literacy required in the era of Generative AI.
Abstract
The purpose of this study is to explore research trends related to small libraries in Korea over the past 20 years. By extracting abstracts from 102 papers collected, frequency analysis, centrality analysis, and topic modeling using by text-network analysis and topic modeling. As a result, in frequency analysis, ‘reading,’ ‘residents,’ ‘culture,’ ‘revitalization,’ ‘evaluation,’ ‘local government,’ ‘policies,’ and ‘community’ appeared in the order of frequency analysis. In the centrality analysis, ‘residents’ was found to be the highest in all Degree centrality, Eigenvector centrality, and Betweenness centrality. In Degree centrality and Eigenvector centrality, ‘culture,’ ‘participation,’ ‘local community,’ and ‘revitalization’ were high. Keywords with high Betweenness centrality and high scalability into subtopics include ‘residents,’ ‘reading,’ ‘program,’ ‘local government,’ and ‘policies.’ In the topic modeling, it was classified into seven topics: ‘revitalization policies,’ ‘collection development,’ ‘operation evaluation,’ ‘cultural programs and collaboration,’ and ‘the village library movement.’ The topic-specific links revealed in the topic modeling visualization were ‘reading,’ ‘education,’ ‘materials,’ and ‘collaboration.’ Based on the analysis results, future research directions were suggested. This study is significant because it provides a comprehensive overview of research trends in small libraries, clarifying the relationships between major keywords and topics by analyzing research trends in small libraries that have never been attempted before.
Abstract
This study aims to examine the feasibility of using domestic sovereign AI models and global large language models (LLMs) for automated creation of library metadata by comparing their performance in MARC record generation. To this end, six generative AI models (GPT, Gemini, Grok, HyperCLOVA, EXAONE, and A.X) were used to generate MARC records for 40 domestic and foreign monographs, and their field-level performance was evaluated using three criteria: completeness, correctness, and rule compliance. The analysis showed, first, that the three global LLMs (GPT, Gemini, Grok) generally outperformed domestic sovereign AI models, with fewer missing fields and more stable handling of formal elements such as indicators and codes. However, their performance tended to decline when the cataloguing target shifted from English-language to Korean books, as errors increased in field configuration and statement of responsibility. Second, the domestic sovereign AI models (HyperCLOVA, EXAONE, A.X) exhibited relatively low overall performance in both MARC21 and KORMARC, and did not show clear performance gains even for Korean books. Third, at the field level, most models generated relatively stable results for title and statement of responsibility (245), whereas rule-dependent fields such as series statements (490/830) and the choice of main entry showed large performance gaps between models and revealed structural misunderstandings of cataloguing rules for example, mechanically transferring MARC21 practices for series treatment to KORMARC. These findings suggest that, at present, generative AI should be introduced into library metadata workflows primarily as an assistive tool for generating draft records and supporting error detection and correction, rather than as a fully automated cataloguing system. The results also indicate that, in order to ensure stable performance of domestic sovereign AI models, systematic training on Korean bibliographic data, including KORMARC records, is required. Furthermore, the careful selection and curation of training data emerges as a key task in building sovereign AI systems for library applications.
Abstract
This study measured reading activities and reading efficacy of each age group and investigated the main influences and interrelationships among variables on reading attitudes. The survey was conducted at middle and high schools, universities, and nearby public libraries of all age groups, and analyzing 117 responses. The results showed that higher reading efficacy positively influenced reading attitudes, with adolescents and 20s reporting higher reading efficacy than 30s and 40s. Analysis of weekly reading volume revealed that those who reported no reading per week had the lowest reading efficacy. In terms of reading attitudes, it was found that groups with less reading time had lower reading attitudes overall, and that reading more books and longer periods of time was associated with a more positive reading attitude.
Abstract
This study examines the establishment and operation of record centers higher education institutions, focusing on private universities, and propose improvement measures. Using data from the National Archives’s Major Statistical Yearbook and relevant legislation - including the Higher Education Act, the Private School Act, and the newly enacted Act on Support for the Structural Improvement of Private Universities - the study analyzes institution characterizes, records center statue, and the placement of records managers. The findings show that private universities, though larger in number, have very low installation and staffing rates for records centers, with little progress since the revision of the Public Records Management Act. To address these issues, the study suggests refining establishment criteria, strengthening staffing in private universities, and creating a dedicated archival institution to oversee records management in higher education.
Abstract
This study examines International Research Trends on Older Adults’ Digital Literacy to provide foundational insights for Public Library policy and expand Research themes in Library and Information Science (LIS). Based on 619 publications indexed in Web of Science, the basic descriptive analyses were conducted and the major research areas were examined. Text mining methods including word frequency analysis, network analysis and LDA topic modeling were applied. The Findings show a rapid expansion of research around 2020 and a continued upward trend, Mainly in North America and Europe within Health․Medical Informatics and Gerontology. The Major keywords were ‘Digital,’ ‘Health,’ ‘Technology,’ ‘Internet,’ ‘Social,’ ‘Improvement,’ ‘Education,’ ‘Telehealth’ and related terms. the 5 LDA Topics were evenly distributed, indicating that research on Older Adults’ Digital Literacy spans diverse Fields.
Abstract
This study redefines the role of libraries in expanding their public nature in the era of smart city projects and public AI. This study analyzes the cases of the Broward County and Brooklyn public libraries in the United States and the Brisbane City Council Library and Parramata Library in Australia from a smart city perspective. Furthermore, it examines the SLAAIT project at a state library in the United States, the AI services of the National Library of Korea and the Library of Congress in Korea, and the Citizen Deliberation Program at the Eindhoven Library in the Netherlands as examples of innovation in the era of public AI. The analysis reveals that libraries serve multifaceted roles: as inclusive access points for the knowledge-vulnerable, creative hubs for the local economy, educational institutions that foster citizens’ critical capacity, and guardians of public values. To formalize this expanded role of libraries, this study emphasizes the need for policy and institutional support. It also proposes measures to redesign library performance indicators to focus on public values and establish library networks.