Journal of Academic Librarianship最新文献_第2页

Enhancing access and efficiency: The role of library research guides in supporting academic success at Busitema University 增强访问和效率：图书馆研究指南在支持Busitema大学学术成功中的作用

IF 2.3 3区管理学 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE

Journal of Academic Librarianship

Pub Date : 2026-01-01 DOI: 10.1016/j.acalib.2025.103189

Fredrick Kiwuwa Lugya

This mixed-methods study evaluates the implementation, perceived impact, and systemic barriers of standardized research guides at Busitema University, a multi-campus institution in Uganda. Through concurrent qualitative and quantitative data collection—including in-depth interviews with 30 students and 15 lecturers, open-ended surveys (n = 142), and document analysis—the research identifies both the transformative potential and critical limitations of the discipline-specific guides.

Findings reveal a significant awareness gap, with 55 % of interviewed students unaware of the guides' existence. Among regular users (40 % of interviewed students), concentrated in Engineering and Health Sciences, self-reported data indicated perceived time savings and enhanced research efficiency. The study highlights the pivotal role of lecturer-librarian collaboration, with successful partnerships in 8 of 15 cases correlating with higher reported guide engagement. However, institutional constraints—such as lack of recognition for collaborative work, cited by 73 % of non-adopting lecturers—and infrastructural challenges, including weekly internet outages faced by 75 % of rural students, significantly hindered scalability and consistent access.

The research demonstrates how localized content curation, incorporating 336 Ugandan policies and 524 scholar profiles, enhanced contextual relevance and addressed decolonial pedagogical aims. Persistent issues with content currency, including broken links reported by 23 % of users, underscored sustainability challenges.

Based on these findings, we propose an integrated intervention framework grounded in library and pedagogical scholarship: (1) LMS integration for seamless curricular embedding, (2) incentive structures to formalize faculty collaboration, and (3) participatory update cycles to maintain resource relevance. These evidence-based recommendations contribute to global conversations on equitable resource access, offering a replicable model for balancing standardization with contextual flexibility in resource-constrained academic environments.

这项混合方法研究评估了乌干达多校区机构Busitema大学标准化研究指南的实施、可感知的影响和系统性障碍。通过同时进行定性和定量数据收集，包括对30名学生和15名讲师的深度访谈，开放式调查（n = 142）和文件分析，该研究确定了特定学科指南的变革潜力和关键局限性。调查结果显示，存在着显著的意识差距，55%的受访学生不知道指南的存在。在工程和健康科学专业的常规用户（占受访学生的40%）中，自我报告的数据表明节省了时间，提高了研究效率。该研究强调了讲师与图书馆员合作的关键作用，在15个案例中，有8个案例的成功合作关系与更高的指导参与度相关。然而，制度上的限制——例如73%的未采用该技术的讲师表示缺乏对协作工作的认可——以及基础设施方面的挑战，包括75%的农村学生面临的每周互联网中断——严重阻碍了可扩展性和持续接入。该研究展示了本地化的内容管理如何结合336项乌干达政策和524位学者的简介，增强了上下文相关性，并解决了非殖民化的教学目标。持续存在的内容货币问题，包括23%的用户报告的断开链接，突显了可持续性挑战。基于这些发现，我们提出了一个基于图书馆和教学学术的综合干预框架：(1)LMS集成以实现无缝课程嵌入；(2)激励结构以形式化教师合作；(3)参与式更新周期以保持资源相关性。这些基于证据的建议有助于促进关于公平获取资源的全球对话，为在资源受限的学术环境中平衡标准化与情境灵活性提供了可复制的模式。

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引用次数: 0

Examining the costs of library leadership turnover 检查图书馆领导层更替的成本

IF 2.3 3区管理学 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE

Journal of Academic Librarianship

Pub Date : 2026-01-01 DOI: 10.1016/j.acalib.2025.103193

Gabrielle Toth , Joshua Vossler , Jeremy Hughes

While all positions in academic libraries eventually turn over, the departure of top leadership positions (deans, directors, or university librarians, hereafter referred to as “deans”) can be particularly disruptive, incurring a variety of costs, including financial, political, and the opportunity costs related to delays. In this manuscript these costs are examined–drawing from existing literature and the experiences of two of the authors who served as interim library deans–and suggestions are presented about how they can be mitigated.

虽然学术图书馆的所有职位最终都会更替，但最高领导职位（院长、董事或大学图书管理员，以下简称“院长”）的离职尤其具有破坏性，会产生各种成本，包括财务、政治和与延迟相关的机会成本。在这篇手稿中，这些成本被检查-从现有的文献和两位担任临时图书馆馆长的作者的经验-并提出了关于如何减轻他们的建议。

引用次数: 0

The biomedical model of disability and academic library classification 残疾生物医学模型与高校图书馆分类

IF 2.3 3区管理学 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE

Journal of Academic Librarianship

Pub Date : 2026-01-01 DOI: 10.1016/j.acalib.2025.103194

Rebecca Hill Renirie

Ableism in society is reinforced through models of how disability is defined and stereotypes that stem from the ideologies that comprise those models. These stereotypes are reinforced by repetition though language both spoken and codified within social and informational constructs, including the classification and organization systems of academic libraries. While it is becoming more prevalent to redress problematic library language and classification generally, language related specifically to disability has not been as widely addressed. In addition, while this issue is discussed in cataloging and archiving literature, it may not be as well known among academic librarians in public services roles. This work proposes that the placement and language of disability within library classification systems is due in part to the biomedical model of disability, which impacts how society constructs disability and the disabled. Drawn from the literature and from the United States Library of Congress Subject Headings and Classification Outline, this in-depth review and content analysis highlights specific examples of ableism drawn from the biomedical model and suggests changes in this context.

社会上的残疾歧视通过残疾定义模式和构成这些模式的意识形态所产生的刻板印象而得到强化。这些刻板印象通过口头语言和在社会和信息结构（包括学术图书馆的分类和组织系统）中编纂的语言的重复而得到加强。虽然普遍纠正有问题的图书馆语言和分类变得越来越普遍，但与残疾专门相关的语言尚未得到广泛解决。此外，虽然这个问题在文献编目和归档中得到了讨论，但在从事公共服务工作的学术图书馆员中可能不太清楚。这项工作提出，残疾在图书馆分类系统中的位置和语言部分是由于残疾的生物医学模型，它影响了社会如何构建残疾和残疾人。根据文献和美国国会图书馆的主题标题和分类大纲，这项深入的审查和内容分析突出了从生物医学模型中提取的残疾歧视的具体例子，并提出了在这方面的变化建议。

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引用次数: 0

Implementation support: A critical examination of mechanisms enhancing equitable digital access for students with disabilities in Kenyan public university libraries 实施支持：对加强肯尼亚公立大学图书馆残疾学生公平数字访问的机制进行批判性审查

IF 2.3 3区管理学 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE

Journal of Academic Librarianship

Pub Date : 2026-01-01 DOI: 10.1016/j.acalib.2025.103182

Stephen Maina , Proscovia Svard , Naomi Mwai

This study investigated the critical role of implementation support mechanisms in promoting equitable digital access for Students with Disabilities (SWDs) in Kenyan public university libraries. Adopting a qualitative, exploratory multi-case study design across six universities, the research triangulated data from semi-structured interviews, institutional document analysis, and direct observation, enabling cross-validation and a comprehensive understanding of the practices and challenges. Analysis revealed five key themes shaping digital inclusion: inclusive policies, staff support, interdepartmental collaboration, monitoring and evaluation, and financial support. The findings indicate substantial disparities in the effectiveness and application of these mechanisms, which significantly influence the accessibility, usability, and utility of digital library services for SWDs. The study highlights the importance of integrated, well-resourced implementation strategies to achieve meaningful digital equity. It offers targeted recommendations to guide policy, institutional planning, and practical interventions in higher education.

本研究调查了肯尼亚公立大学图书馆实施支持机制在促进残疾学生（SWDs）公平获取数字资源方面的关键作用。该研究采用定性、探索性的多案例研究设计，涵盖六所大学，对来自半结构化访谈、机构文件分析和直接观察的数据进行三角分析，从而实现交叉验证，并全面了解实践和挑战。分析揭示了塑造数字包容性的五个关键主题：包容性政策、员工支持、部门间合作、监测和评估以及财政支持。研究结果表明，这些机制的有效性和应用存在很大差异，这极大地影响了社会福利机构数字图书馆服务的可及性、可用性和实用性。该研究强调了综合的、资源充足的实施战略对于实现有意义的数字公平的重要性。它为指导高等教育的政策、制度规划和实际干预提供了有针对性的建议。

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引用次数: 0

Examining the relationship between digital competencies and artificial intelligence literacy of academic librarians in Türkiye 研究<s:1>基耶大学图书馆员的数字能力与人工智能素养之间的关系

IF 2.3 3区管理学 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE

Journal of Academic Librarianship

Pub Date : 2026-01-01 DOI: 10.1016/j.acalib.2025.103191

Ali KAVAK , Vedat Gültekin

This study investigates the influence of academic librarians' digital competence on their artificial intelligence (AI) literacy within the context of Türkiye. Using a quantitative research design, it explores how the sub-dimensions of digital competence -digital anxiety, adaptation, and perceived competence- affect AI literacy, which was measured across awareness, use, evaluation, and ethics. A total of 211 academic librarians voluntarily participated in the survey, and data were analyzed through statistical techniques examining relationships, predictive effects, and group differences. The findings indicate that digital adaptation is the strongest and most consistent predictor of AI literacy, whereas digital anxiety negatively influences the ethical dimension. Perceived digital competence showed only a limited predictive effect. Demographic variables revealed that gender and education level did not significantly affect digital competence or AI literacy, while age and professional experience contributed to variations in AI literacy. Overall, the results highlight that adaptation skills, rather than technical proficiency alone, are critical for developing AI literacy. The study underscores the need for training programs in academic libraries that focus on fostering adaptability to support effective AI integration.

本研究探讨了在t rkiye背景下，学术图书馆员的数字能力对其人工智能素养的影响。使用定量研究设计，它探索了数字能力的子维度——数字焦虑、适应和感知能力——如何影响人工智能素养，这是通过意识、使用、评估和道德来衡量的。共有211名学术图书馆员自愿参与了这项调查，并通过统计技术分析了数据之间的关系、预测效果和群体差异。研究结果表明，数字适应是人工智能素养最强、最一致的预测因素，而数字焦虑则对伦理维度产生负面影响。感知到的数字能力仅显示出有限的预测效果。人口统计变量显示，性别和教育水平对数字能力或人工智能素养没有显著影响，而年龄和专业经验对人工智能素养的变化有影响。总体而言，研究结果强调，适应技能，而不仅仅是技术熟练程度，对培养人工智能素养至关重要。该研究强调，需要在学术图书馆开展培训项目，重点培养适应能力，以支持有效的人工智能整合。

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引用次数: 0

Chatbots for reference services in academic libraries: Applications and trends 学术图书馆参考服务的聊天机器人：应用和趋势

IF 2.3 3区管理学 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE

Journal of Academic Librarianship

Pub Date : 2026-01-01 DOI: 10.1016/j.acalib.2025.103197

Guoying Liu , Shu Liu

As academic libraries adapt to evolving to meet changing user expectations and digital service models, chatbots have emerged as a promising tool for enhancing reference support. This study investigates the current landscape of chatbot applications in academic library settings by examining both rule-based and AI-powered systems deployed across institutions around the world. Through a comprehensive environmental scan and literature review, 31 library chatbots were selected representing a diverse range of service models and technological maturity. The study assesses the chatbot performance, responsiveness, and ethical transparency through a set of structured queries, including service-related questions, information retrieval tasks, and conversational prompts. It reveals a generally low global adoption rate of chatbots in academic libraries, with development varying significantly across regions. Notably, 94 % of the chatbots were AI-powered or hybrid systems, and 42 % offered multilingual support. Most chatbots performed reliably on basic service queries, yet only some of them demonstrated strategic messaging or extended service capabilities. Significant variation was observed in semantic interpretation and recommendation quality, with many chatbots struggling to deliver contextually relevant or metadata-rich responses. Critically, only 13 % disclosed privacy policies which reveals the widespread gaps in ethical transparency and user awareness. These findings underscore the need for improved semantic modeling, broader service integration, and clearer documentation to ensure that AI-enabled library systems align with institutional values and meet diverse user needs.

随着学术图书馆适应不断发展以满足不断变化的用户期望和数字服务模式，聊天机器人已经成为加强参考支持的有前途的工具。本研究通过研究世界各地机构部署的基于规则和人工智能的系统，调查了聊天机器人在学术图书馆环境中的应用现状。通过全面的环境扫描和文献综述，选择了31个图书馆聊天机器人，代表了不同的服务模式和技术成熟度。该研究通过一系列结构化查询（包括与服务相关的问题、信息检索任务和会话提示）评估了聊天机器人的性能、响应能力和道德透明度。报告显示，全球高校图书馆对聊天机器人的采用率普遍较低，各地区的发展差异很大。值得注意的是，94%的聊天机器人是人工智能驱动或混合系统，42%的聊天机器人提供多语言支持。大多数聊天机器人都能可靠地执行基本的服务查询，但其中只有一部分展示了战略消息传递或扩展服务功能。在语义解释和推荐质量方面观察到显著差异，许多聊天机器人难以提供与上下文相关或元数据丰富的响应。至关重要的是，只有13%的公司披露了隐私政策，这表明它们在道德透明度和用户意识方面存在广泛差距。这些发现强调了改进语义建模、更广泛的服务集成和更清晰的文档的必要性，以确保启用人工智能的图书馆系统与机构价值观保持一致，并满足不同的用户需求。

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引用次数: 0

Exploring undergraduates' self-efficacy in information, media, and data literacies: An integrated approach using the ACRL framework's threshold concepts 探索大学生在信息、媒体和数据素养方面的自我效能：一种使用ACRL框架阈值概念的综合方法

IF 2.3 3区管理学 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE

Journal of Academic Librarianship

Pub Date : 2026-01-01 DOI: 10.1016/j.acalib.2025.103192

Rosaura Fernández-Pascual , Maria Pinto , David Caballero Mariscal

This study presents an integrated analysis of students' perceived self-efficacy across key dimensions of information, media, and data literacy (MILDAL). Drawing on the threshold concepts outlined in the Framework for Information Literacy for Higher Education (ACRL, 2015) the research examines the multidimensional structure of MILDAL and how students perceive their competencies across its interrelated domains.

Data were collected through the validated Q-MILDAL questionnaire, which comprises 48 items grouped into six dimensions: Authority, Creation, Value, Research, Conversation, and Searching.

The study employed a descriptive–analytical, non-experimental, cross-sectional design with a stratified sampling approach by degree and academic year, including 582 students from Communication–Information–Journalism, Business Administration–Economics, and Education programs.

A mixed qualitative–quantitative approach and multilevel structural equation modeling (SEM) were used to explore the hierarchical structure of global literacy.

Results indicate moderate levels of self-efficacy, with higher scores for Authority, Value, and Conversation, and lower ones for Research, highlighting areas for improvement.

The hierarchical SEM model revealed discipline-specific patterns that provide valuable insights for the design of targeted training strategies in higher education, contributing to a deeper understanding of the internal structure of MILDAL and supporting differentiated educational interventions.

本研究综合分析了学生在信息、媒体和数据素养（MILDAL）的关键维度上的自我效能感。根据《高等教育信息素养框架》（ACRL, 2015）中概述的阈值概念，该研究考察了MILDAL的多维结构，以及学生如何感知他们在相关领域的能力。本研究采用经验证的Q-MILDAL问卷收集数据，问卷共48项，分为6个维度：权威、创造、价值、研究、对话和搜索。本研究采用描述分析、非实验、横断面设计，按学位和学年分层抽样，包括582名来自传播-信息-新闻、工商管理-经济和教育专业的学生。采用混合定性-定量方法和多层结构方程模型（SEM）来探讨全球读写能力的层次结构。结果表明，自我效能感水平中等，权威、价值和谈话得分较高，研究得分较低，突出了需要改进的领域。分层SEM模型揭示了特定学科的模式，为高等教育中有针对性的培训策略的设计提供了有价值的见解，有助于更深入地了解MILDAL的内部结构，并支持差异化的教育干预。

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引用次数: 0

Evaluating metaverse-based library orientation with Roblox for first-year students 用Roblox为一年级学生评估基于meta的图书馆定位

IF 2.3 3区管理学 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE

Journal of Academic Librarianship

Pub Date : 2025-12-24 DOI: 10.1016/j.acalib.2025.103187

Sumalee Sangamuang , Pakinee Ariya , Songpon Khanchai , Kannikar Intawong , Kitti Puritat

This study investigates the comparative effectiveness of metaverse-based and traditional library orientations for first-year university students, focusing on user engagement, library-related anxiety, knowledge acquisition, and overall suitability. A quasi-experimental design was employed, with participants assigned to either a physical library tour or a gamified orientation developed on the Roblox platform. Quantitative results revealed that the traditional format produced higher scores in focused attention and perceived usability, while the metaverse-based approach yielded greater intrinsic rewards. Both formats significantly reduced library anxiety, although the traditional method was more effective in fostering interpersonal comfort, whereas the metaverse-based orientation better addressed affective and cognitive dimensions. Both groups significantly improved knowledge acquisition, with the traditional tour showing marginally higher gains. Qualitative feedback highlighted differing preferences and suggested improvements for both formats. The study concludes that while traditional orientations remain effective, metaverse-based platforms offer scalable, engaging alternatives. Implications for hybrid orientation models and future use of generative AI in virtual environments are discussed.

本研究以用户参与、图书馆相关焦虑、知识获取和整体适宜性为研究重点，探讨了基于元生态和传统图书馆导向对大一学生的有效性比较。采用了准实验设计，参与者被分配到实体图书馆之旅或在Roblox平台上开发的游戏化方向。定量结果显示，传统格式在集中注意力和感知可用性方面得分更高，而基于元记忆的方法产生了更高的内在奖励。这两种形式都显著减少了图书馆焦虑，尽管传统方法在促进人际舒适方面更有效，而基于元认知的取向更好地解决了情感和认知维度。两组人在知识获取方面都有显著提高，其中传统旅游的收益略高。定性反馈强调了不同的偏好，并提出了两种格式的改进建议。该研究的结论是，虽然传统方向仍然有效，但基于元数据的平台提供了可扩展的、引人入胜的替代方案。讨论了混合定向模型和生成式人工智能在虚拟环境中的未来应用的含义。

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引用次数: 0

Teaching data science workshops in academic libraries: Insights from attendance patterns and topic preferences 在学术图书馆教学数据科学研讨会：从出勤模式和主题偏好的见解

IF 2.3 3区管理学 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE

Journal of Academic Librarianship

Pub Date : 2025-12-22 DOI: 10.1016/j.acalib.2025.103188

Gang Shao

As data science becomes increasingly essential across academic disciplines, academic libraries have emerged as key providers of data literacy and research computing training. This study analyzes attendance data from data science workshops offered by our university libraries for graduate students to understand participation patterns, topic preferences, and audience needs. Results show that workshops focused on data visualization and introductory machine learning attracted the highest attendance across both STEM and non-STEM fields. While advanced machine learning sessions had smaller size attendance, they drew sustained interest from research-oriented participants such as PhD students and postdoctoral researchers. Attendance in programming workshops varied by language, with R and Python emerging as the most popular options. These findings highlight the importance of maintaining a balanced workshop portfolio that supports both foundational and advanced learners. The analysis also reveals opportunities to improve accessibility through standalone design and flexible delivery formats that accommodate diverse schedules and learning backgrounds. Overall, this study provides actionable insights into how academic libraries can better support graduate-level data science education and serve as a model for similar initiatives at other institutions.

随着数据科学在各个学科中变得越来越重要，学术图书馆已经成为数据素养和研究计算培训的主要提供者。本研究分析了大学图书馆为研究生提供的数据科学研讨会的出席数据，以了解参与模式、主题偏好和受众需求。结果显示，专注于数据可视化和介绍性机器学习的研讨会在STEM和非STEM领域都吸引了最高的出席率。虽然高级机器学习会议的出席人数较少，但它们吸引了博士生和博士后研究人员等研究型参与者的持续兴趣。参加编程研讨会的人数因语言而异，R和Python成为最受欢迎的选择。这些发现强调了保持一个平衡的研讨会组合的重要性，以支持基础和高级学习者。分析还揭示了通过独立设计和灵活的交付格式来改善可访问性的机会，以适应不同的时间表和学习背景。总的来说，这项研究为高校图书馆如何更好地支持研究生水平的数据科学教育提供了可行的见解，并为其他机构的类似举措提供了榜样。

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引用次数: 0

Reshaping the future of academic library: Service model for holistic research data support 重塑高校图书馆的未来：整体研究数据支持的服务模式

IF 2.3 3区管理学 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE

Journal of Academic Librarianship

Pub Date : 2025-12-19 DOI: 10.1016/j.acalib.2025.103180

Kam Ming Ku, Vanessa Ramesh Mahboobani, Yifei Vivian Qiu, Tina T. Yang, Esther Mei Wa Woo

The increasingly data-intensive nature of modern research, particularly with the proliferation of artificial intelligence (AI), presents both a challenge and an opportunity for academic libraries. To address the evolving needs of the research community, we conducted a quantitative survey at the University of Hong Kong to identify gaps in existing data support services. Our findings indicate a significant demand for hands-on, technical assistance in data analysis, visualization, and cleaning, areas where researchers currently rely heavily on self-taught skills and peers. A substantial portion of the community is also actively engaged in AI-related projects, underscoring a need for advanced, specialized support. In response, this paper proposes a new service model, the “Data Clinic,” designed to function as a one-stop hub for both advisory and technical data support. By empowering librarians with advanced skills and fostering a collaborative, data-first mindset, this model aims to transform the library into a proactive partner in the research process, thereby enhancing research capabilities and affirming its indispensable role in the data-driven future.

现代研究日益增长的数据密集型性质，特别是随着人工智能（AI）的普及，对学术图书馆来说既是挑战，也是机遇。为配合研究界不断发展的需要，我们在香港大学进行了一项定量调查，以找出现有数据支援服务的不足。我们的研究结果表明，在数据分析、可视化和清理方面，对实际操作、技术援助的需求很大，而这些领域的研究人员目前严重依赖自学技能和同行。社区中相当大一部分人也积极参与人工智能相关项目，这凸显了对高级专业支持的需求。作为回应，本文提出了一种新的服务模式，“数据诊所”，旨在作为咨询和技术数据支持的一站式中心。通过赋予图书馆员先进的技能，培养协作、数据优先的思维模式，这种模式旨在将图书馆转变为研究过程中的积极合作伙伴，从而提高研究能力，并肯定其在数据驱动的未来中不可或缺的作用。

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引用次数: 0