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Navigating a house with many rooms: A discipline-based approach to assessing digital scholarship 在一个有许多房间的房子里导航:一种基于学科的方法来评估数字奖学金
IF 2.3 3区 管理学 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2025-08-20 DOI: 10.1016/j.acalib.2025.103121
Adam Clemons
As academic libraries seek to expand support for digital scholarship, soliciting input from users is critical. Traditional strategies for assessing user needs and expectations have assumed shared understandings across academic disciplines about how digital scholarship is used and defined, leading to evaluation methods that target user groups based on status rather than disciplinary affiliation. While this traditional approach has provided useful feedback to libraries, the results are not always accurate and dependable. To address this issue, the following paper reports on a discipline-specific approach to assessing user needs and expectations that accounts for disciplinary-differences in how digital scholarship is used and understood. The results, which are more accurate and dependable, can be used to address discipline-specific user needs while also facilitating better engagement with targeted user groups to facilitate and develop new and improved library digital scholarship services, resulting in increased user interest and participation.
随着学术图书馆寻求扩大对数字学术的支持,征求用户的意见至关重要。评估用户需求和期望的传统策略假设了各学科对如何使用和定义数字学术的共同理解,导致评估方法基于地位而不是学科隶属关系来针对用户群体。虽然这种传统方法为库提供了有用的反馈,但结果并不总是准确和可靠的。为了解决这个问题,下面的论文报告了一种特定学科的方法来评估用户的需求和期望,这种方法解释了如何使用和理解数字学术的学科差异。结果更加准确和可靠,可用于解决特定学科的用户需求,同时也促进与目标用户群体的更好接触,以促进和开发新的和改进的图书馆数字奖学金服务,从而提高用户的兴趣和参与度。
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引用次数: 0
AILIS 1.0: A new framework to measure AI literacy in library and information science (LIS) AILIS 1.0:衡量图书馆与信息科学(LIS)领域人工智能素养的新框架
IF 2.3 3区 管理学 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2025-08-16 DOI: 10.1016/j.acalib.2025.103118
Michela Montesi , Belén Álvarez Bornstein , Núria Bautista Puig , Manuel Blázquez Ochando , Alicia Sánchez Díez
As artificial intelligence (AI) becomes more embedded in academic and professional settings, assessing and improving AI literacy among current and future information professionals is increasingly important. However, research in this area within Library and Information Science (LIS) remains exploratory, and more evidence is needed to guide training and curriculum design. This study assesses AI literacy among LIS students and librarians, highlighting key areas and groups for targeted training.
To this end, the AILIS 1.0 questionnaire was developed from existing AI literacy tools in higher education and adapted to the LIS context with expert input. It was administered to 163 respondents at the Complutense University of Madrid (Spain). Descriptive statistics and non-parametric tests were used to examine gender and group differences. To further validate the findings, three focus groups with LIS undergraduates were conducted.
Functioning, Ethics, and Evaluation emerged as core dimensions of AI literacy. Functioning scores correlated strongly with all other dimensions except self-assessed Usage. Overall, library professionals outperformed students, particularly in Ethics and Usage. However, students, especially first-years, reported higher self-efficacy despite lower performance, indicating a tendency to overestimate their AI literacy, as confirmed by focus groups.
The research underscores the need for educational strategies in AI literacy and greater involvement of educators and professionals. The higher AI literacy shown by librarians should encourage professionals to take more active roles in AI literacy training. Finally, results highlight the potential of AILIS 1.0 as a diagnostic tool, but also as a framework to evaluate AI literacy within LIS.
随着人工智能(AI)越来越多地融入学术和专业环境,评估和提高当前和未来信息专业人员的人工智能素养变得越来越重要。然而,图书馆与信息科学(LIS)在这一领域的研究仍处于探索阶段,需要更多的证据来指导培训和课程设计。本研究评估了LIS学生和图书馆员的人工智能素养,突出了有针对性培训的关键领域和群体。为此,AILIS 1.0调查问卷是根据高等教育中现有的人工智能素养工具开发的,并在专家的意见下适应了LIS的背景。对马德里康普顿斯大学(西班牙)的163名受访者进行了调查。采用描述性统计和非参数检验来检验性别和群体差异。为了进一步验证研究结果,我们对LIS本科生进行了三个焦点小组的研究。功能、伦理和评估成为人工智能素养的核心维度。功能得分与除自我评估使用率外的所有其他维度都有很强的相关性。总体而言,图书馆专业人员的表现优于学生,尤其是在道德和使用方面。然而,正如焦点小组所证实的那样,学生,尤其是一年级学生,尽管表现不佳,但自我效能感却更高,这表明他们倾向于高估自己的人工智能素养。该研究强调了人工智能素养教育战略的必要性,以及教育工作者和专业人士更多参与的必要性。图书馆员表现出的更高的人工智能素养,应该鼓励专业人员在人工智能素养培训中发挥更积极的作用。最后,结果强调了AILIS 1.0作为诊断工具的潜力,但也可以作为评估LIS内人工智能素养的框架。
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引用次数: 0
User requirements prioritisation for research data management services (RDMS) in Myanmar university libraries: Multi-stakeholder perspectives using the KANO model 缅甸大学图书馆研究数据管理服务(RDMS)的用户需求优先级:使用KANO模型的多利益相关者视角
IF 2.3 3区 管理学 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2025-08-16 DOI: 10.1016/j.acalib.2025.103122
Aint Thin Zar Kyaw , Lihong Zhou
This study investigates the prioritisation of RDMS requirements from multi-stakeholder perspectives in Myanmar university libraries, employing the KANO model across four themes: RDM planning, research data collection, research data processing and analysis, and research data preservation and sharing. Data was collected from multi-stakeholders who are in four major university libraries in Myanmar, which are geographically distributed and research incentive nature. The findings reveal that all requirements vary in different priority level from multi-stakeholder perspectives. Six requirements were classified as “one-dimensional (O),” one as “attractive (A),” and the remaining as “indifferent (I).” Top priority requirements include specific and explicit RDM guidelines, access to open data resources, user-friendly access, information retrieval systems training, access to data analysis applications and secure research data storage methods. The study provides a framework for prioritising RDMS requirements based on multi-stakeholder perspectives, offering valuable insights for Myanmar university libraries and other developing areas initiating RDMS implementation. The results also have a global impact, informing the development of research support services and strategies for resource allocation within RDMS.
本研究从多方利益相关者的角度调查了缅甸大学图书馆RDM需求的优先顺序,采用了KANO模型,涉及四个主题:RDM规划、研究数据收集、研究数据处理和分析以及研究数据保存和共享。数据收集自缅甸四所主要大学图书馆的多方利益相关者,这些图书馆地理分布和研究激励性质。研究结果表明,从多利益相关者的角度来看,所有需求的优先级不同。六个需求被分类为“一维(O)”,一个被分类为“有吸引力(A)”,其余的被分类为“无关紧要(I)”。最优先的需求包括具体和明确的RDM指南、开放数据资源的访问、用户友好访问、信息检索系统培训、数据分析应用程序的访问和安全的研究数据存储方法。该研究提供了一个基于多方利益相关者视角的RDMS需求优先排序框架,为缅甸大学图书馆和其他启动RDMS实施的发展中地区提供了有价值的见解。研究结果还具有全球影响,为研究支持服务和RDMS内资源分配战略的发展提供了信息。
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引用次数: 0
Digital inclusion in higher education: A web content accessibility evaluation of best Asian university library websites 高等教育中的数字包容:亚洲最佳大学图书馆网站的网页内容可访问性评估
IF 2.3 3区 管理学 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2025-08-15 DOI: 10.1016/j.acalib.2025.103120
A.R. Arya Asok , R.V. Rekha
Digitization in higher education has opened up exciting opportunities for easy access to a multitude of knowledge sources. These information centers are currently mostly distributed through educational websites. If web content isn't accessible, it denies equal access to information—a basic human right. Breaking these digital barriers is essential for a fair and inclusive academic environment. Persons with disabilities often encounter such barriers when they try to access information from digital resources. This study aims to evaluate the information accessibility status of the best Asian University library websites based on compliance with the WCAG 2.1 standard. The study population consists of the best 50 Asian Universities from Times Higher Education 2024 ranking data. The study employed Website Accessibility Conformance Evaluation Methodology (WCAG-EM) with the combination of WAVE and axe Dev tools. The study found that contrast errors, lack of text alternatives for non-text, missing form labels, etc., are major accessibility issues. And alarmingly, these websites fail to meet even the basic compliance standards established by WCAG. Furthermore, the Kruskal-Wallis test revealed p = 0.073 for WAVE and p = 0.198 for axe Dev, indicating no statistically significant link between website categories based on web performance score. These results underscore the urgent need for action to create an equitable, inclusive web environment.
高等教育的数字化为获取大量知识资源提供了令人兴奋的机会。目前,这些信息中心主要通过教育网站进行分布。如果网络内容不能被访问,它就剥夺了平等获取信息的权利——这是一项基本人权。打破这些数字障碍对于公平和包容的学术环境至关重要。残疾人在试图从数字资源获取信息时经常遇到这种障碍。本研究旨在以WCAG 2.1标准为基准,评估亚洲最佳大学图书馆网站的资讯可及性状况。研究对象包括泰晤士高等教育2024年排名数据中亚洲最好的50所大学。本研究采用网站可访问性一致性评估方法(WCAG-EM),结合WAVE和axe Dev工具。研究发现,对比错误、缺乏对非文本的文本替代、缺少表单标签等是主要的可访问性问题。令人担忧的是,这些网站甚至连WCAG制定的基本合规标准都达不到。此外,Kruskal-Wallis检验显示,WAVE的p = 0.073, axe Dev的p = 0.198,表明基于web性能评分的网站类别之间没有统计学上显著的联系。这些结果强调,迫切需要采取行动,创造一个公平、包容的网络环境。
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引用次数: 0
Equity gaps in information literacy: A case study and methodological exploration 信息素养中的公平差距:个案研究与方法探索
IF 2.3 3区 管理学 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2025-08-06 DOI: 10.1016/j.acalib.2025.103119
Sarah P.C. Dahlen, Joy Hopkins Camp
Equity gaps are disparities in educational outcomes and access to opportunities that are rooted in systemic inequities. Higher education has been attentive to equity gaps in course grades, grade point average, and graduation and retention rates, but less so to gaps in specific academic outcomes. This study investigates how equity gaps can be measured in information literacy, a core academic competency, by conducting a case study using rubric scores of student papers. Various measures of equity gaps are employed and evaluated to provide guidance for future work in this area. While no equity gaps were identified in this sample, considerations for each of the methods are discussed.
公平差距是指植根于系统性不平等的教育成果和获得机会方面的差距。高等教育一直关注课程成绩、平均绩点、毕业率和留校率方面的差距,但对具体学术成果方面的差距关注较少。本研究通过使用学生论文的标题分数进行案例研究,调查了如何衡量信息素养(一项核心学术能力)中的公平差距。采用和评估各种公平差距措施,为这一领域的未来工作提供指导。虽然在这个样本中没有发现公平差距,但讨论了每种方法的考虑因素。
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引用次数: 0
Becoming a leader in AI literacy instruction by not reinventing the wheel 不做无谓的重复工作,成为人工智能素养教育的领导者
IF 2.3 3区 管理学 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2025-08-04 DOI: 10.1016/j.acalib.2025.103117
LeEtta Schmidt, Evan Fruehauf, Andrew Beman-Cavallaro
Libraries are at a critical moment to lead in AI literacy, but success doesn't demand starting from scratch. By building on familiar frameworks for information literacy, outreach, and instructional design, libraries can quickly and effectively meet the challenges of generative AI. This article showcases how one research-intensive university library leveraged existing strengths—through AI-focused guides, workshops, grants, and cross-campus partnerships—to embed AI literacy across its academic community. Rather than reinventing the wheel, the library expanded proven methods to support ethical, critical, and informed engagement with AI technologies. This case study offers a practical, scalable model for any library seeking to empower users and stake a leadership role in the rapidly evolving AI landscape.
图书馆正处于引领人工智能素养的关键时刻,但成功并不需要从零开始。通过建立熟悉的信息素养、外展和教学设计框架,图书馆可以快速有效地应对生成式人工智能的挑战。本文展示了一家研究密集型大学图书馆如何利用现有优势——通过以人工智能为重点的指南、研讨会、赠款和跨校园合作伙伴关系——在其学术社区中嵌入人工智能素养。该图书馆没有重新发明轮子,而是扩展了经过验证的方法,以支持与人工智能技术进行道德、关键和知情的接触。本案例研究为任何图书馆提供了一个实用的、可扩展的模型,以寻求在快速发展的人工智能领域中赋予用户权力并发挥领导作用。
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引用次数: 0
The experiences of neurodivergent Library and Information Science [LIS] professionals working in academic libraries – a case study 神经发散型图书馆与信息科学专业人员在高校图书馆工作的经历——一个案例研究
IF 2.3 3区 管理学 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2025-08-01 DOI: 10.1016/j.acalib.2025.103115
Clare Camp, Dr Jayne Finlay
Literature on the experiences of neurodivergent LIS professionals working in academic libraries is sparse. Although anecdotal evidence suggests that librarianship may be an attractive profession for neurodivergent adults, significant challenges remain. This paper discusses a case study undertaken in a large research-intensive university in England. This case study investigates the experiences of neurodivergent LIS individuals, examining the impact of recruitment practices, the workplace environment, daily work and tasks, and their professional skills as perceived through the lens of neurodivergency. Qualitative data was collected through semi-structured interviews with six participants who identified as neurodivergent. A reflexive approach was taken to the research and thematic analysis used to analyse the results. This research finds that neurodivergent individuals encounter challenges with recruitment, the physical and sociocultural environment, and their daily work. This includes challenges with panel interviews, the sensory environment, the “unspoken rules” of social, professional expectations, and a conflicting desire for novelty and routine. Access to adjustments vary and are reliant on individual and institutional knowledge of neurodivergence, and the psychological safety required to disclose. Neurodivergent individuals are keen to use and develop their skills, however, employers appear nervous to discuss professional development opportunities. Although neurodivergent individuals are cautiously optimistic about their experiences, there is a need for increased understanding within the sector of their lived experiences to provide support. This paper puts forward recommendations for practice and identifies areas for future research that will help to improve the experiences of neurodivergent professionals.
关于在学术图书馆工作的神经发散性LIS专业人员的经历的文献很少。尽管坊间证据表明,对于神经分化的成年人来说,图书馆工作可能是一个有吸引力的职业,但重大挑战依然存在。本文讨论了在英国一所大型研究型大学进行的案例研究。本案例研究调查了神经发散性LIS个体的经历,考察了招聘实践、工作环境、日常工作和任务的影响,以及他们通过神经发散性感知的专业技能。定性数据是通过对六名神经发散性参与者的半结构化访谈收集的。对用于分析结果的研究和专题分析采取了反身性方法。这项研究发现,神经发散型个体在招聘、生理和社会文化环境以及日常工作中都会遇到挑战。这包括小组面试的挑战,感官环境,社会的“潜规则”,专业期望,以及对新奇和常规的冲突欲望。获得调整的途径各不相同,并且依赖于个人和机构对神经分化的了解,以及披露所需的心理安全。神经发散型的人热衷于运用和发展他们的技能,然而,雇主似乎对讨论职业发展机会感到紧张。尽管神经发散性个体对他们的经历持谨慎乐观的态度,但需要对他们的生活经历领域进行更多的理解,以提供支持。本文提出了实践建议,并确定了未来研究的领域,这将有助于提高神经发散专业人员的经验。
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引用次数: 0
More transparency is required for article processing charges 物品加工费需要更加透明
IF 2.3 3区 管理学 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2025-07-31 DOI: 10.1016/j.acalib.2025.103107
Graham Kendall
In this column, I argue for more transparency for APC (Article Processing Charges) payments, proposing that publishers supply this information on the article itself, as well as making it available in the metadata. In the same way that funders insist that any research articles arising from the research they fund is OA (Open Access), I propose that research funders should also make it a condition on publishers to be more open and transparent about the APC revenue that they receive for a given article.
在本专栏中,我主张提高APC(文章处理费)支付的透明度,建议出版商提供文章本身的这些信息,并使其在元数据中可用。就像资助者坚持他们资助的研究中产生的任何研究文章都是OA(开放获取)一样,我建议研究资助者也应该把出版商作为一个条件,让他们对一篇给定文章的APC收入更加开放和透明。
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引用次数: 0
Mnemonic evaluative frameworks in scholarly publications: A cited reference analysis across disciplines and AI-mediated contexts 学术出版物中的助记评估框架:跨学科和人工智能介导背景下的被引参考分析
IF 2.3 3区 管理学 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2025-07-30 DOI: 10.1016/j.acalib.2025.103113
Robert Tomaszewski
Mnemonic evaluative frameworks have become central to information literacy instruction for assessing information credibility. Widely used tools such as CRAAP, CARS, ACT UP, and SIFT remain underrepresented in scholarly literature and insufficiently aligned with emerging information challenges. This study uses cited reference analysis in the Scopus database to examine 16 mnemonic evaluative frameworks across 280 peer-reviewed journal articles, conference papers, and review articles. Citation patterns were analyzed by year, discipline, institutional affiliation, and source title. Findings reveal that while legacy models like CRAAP and CARS retain the most citations, newer frameworks such as SIFT and RADAR are proportionally more cited in AI-related literature. A subset of 49 AI-focused citing documents indicates a disciplinary shift from Library and Information Sciences toward Computer Science, Engineering, Business, and Decision Sciences since 2022. These results highlight the need for adaptive, systems-aware models that address credibility challenges associated with generative AI and algorithmic curation. In response, this study introduces the CAT Test (Check, Ask, Think), a three-part evaluative framework designed to help learners assess AI-generated content by corroborating claims, interrogating model reasoning, and reflecting on platform influence. The findings inform instructional design and contribute to ongoing conversations about algorithmic transparency and credibility in academic librarianship.
助记评价框架已成为评估信息可信度的信息素养指导的核心。广泛使用的工具,如CRAAP、CARS、ACT UP和SIFT,在学术文献中仍然没有得到充分的代表,也没有充分地与新兴的信息挑战相一致。本研究使用Scopus数据库中的引用参考分析,对280篇同行评议的期刊文章、会议论文和评论文章中的16个助记法评估框架进行了研究。引用模式按年份、学科、机构隶属关系和来源标题进行分析。研究结果显示,尽管像CRAAP和CARS这样的传统模型保留了最多的引用,但像SIFT和RADAR这样的新框架在人工智能相关文献中被引用的比例更高。49个以人工智能为重点的引用文件的子集表明,自2022年以来,学科从图书馆和信息科学转向计算机科学、工程、商业和决策科学。这些结果强调了对自适应、系统感知模型的需求,这些模型可以解决与生成式人工智能和算法管理相关的可信度挑战。作为回应,本研究引入了CAT测试(检查、询问、思考),这是一个由三部分组成的评估框架,旨在帮助学习者通过证实主张、质疑模型推理和反思平台影响来评估人工智能生成的内容。这些发现为教学设计提供了信息,并有助于对学术图书馆中算法透明度和可信度的持续讨论。
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引用次数: 0
Incorporating a family-friendly space into a university library 将家庭友好空间融入大学图书馆
IF 2.3 3区 管理学 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE Pub Date : 2025-07-29 DOI: 10.1016/j.acalib.2025.103109
Lori Caniano
Academic libraries provide support for student-parents in a variety of ways from providing activity kits for visiting children to offering family-friendly rooms. The author learned of the need for this type of support through conversations with students. A formal survey on library services and spaces was conducted. Respondents indicated it would be helpful to them if they could bring their children with them to the library. The family-friendly space in Swirbul Library provides an opportunity for student-parents to utilize the library while having their children accompany them. This article covers the steps taken to bring this space to fruition, from conceptualization, planning, implementation to current use.
学术图书馆以各种方式为学生家长提供支持,从为来访的孩子提供活动工具包到提供家庭友好房间。作者通过与学生的对话了解到这种支持的必要性。对图书馆的服务和空间进行了正式调查。受访者表示,如果他们能带孩子一起去图书馆,对他们会有帮助。swibul图书馆的家庭友好空间为学生家长提供了一个让孩子陪伴他们使用图书馆的机会。本文介绍了实现这一空间所采取的步骤,从概念化、规划、实现到当前使用。
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引用次数: 0
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Journal of Academic Librarianship
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