{"title":"Politics and the positioning of academic libraries","authors":"John Cox","doi":"10.1016/j.acalib.2026.103224","DOIUrl":"10.1016/j.acalib.2026.103224","url":null,"abstract":"<div><div>Political engagement for optimal positioning within their campus environment is vital for academic libraries, with consequences for recognition, influence, resourcing and prospects. There can, however, be a reluctance among library staff to participate in campus politics, sometimes through feelings of disdain and a sense that this conflicts with library values. Failure to embrace the political dimension of campus life carries high risk as politics is central to decision making, especially about resources whose scarcity generates intense competition among many powerful actors. The stakes are high and <em>The Journal of Academic Librarianship</em> recognized the importance of politics through a regular column a decade ago.</div><div>This article re-visits the politics of academic libraries at a time of uncertainty when the stakes of successful positioning have become even higher. It considers today's political environment on campus and how well or otherwise academic libraries are currently placed to engage with it as well as proposing ways in which they can maximize their chances of successful positioning. It concludes that political striving is both inevitable and prominent on campus, generating many political engagements for academic libraries which impact their positioning and to which they bring a mix of advantageous and disadvantageous factors. Positioning is both political and practical and academic library staff can develop the necessary skills, instincts and habits for success.</div></div>","PeriodicalId":47762,"journal":{"name":"Journal of Academic Librarianship","volume":"52 2","pages":"Article 103224"},"PeriodicalIF":2.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147398061","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"AI prompts for clinical questions: Evaluating information literacy frameworks in health sciences education","authors":"Hsin-liang Chen , Erik Langenau","doi":"10.1016/j.acalib.2026.103217","DOIUrl":"10.1016/j.acalib.2026.103217","url":null,"abstract":"<div><div>This exploratory study evaluates evidence-based AI information literacy strategies for health sciences professionals by comparing two prompt engineering frameworks: the CLEAR (Concise, Logical, Explicit, Adaptive, and Reflective) framework and the PICO (Population/Patient/Problem, Intervention, Comparison/Control, and Outcome) model. Nineteen fourth-year medical students participated in a crossover-design study involving three instructional sessions on using an AI-assisted interdisciplinary database to respond to patient-care scenarios. Participants' prompts were analyzed for word count, format, and keyword usage. Results showed that prompt instructions influenced construction patterns: participants using PICO created more question-based prompts and demonstrated lower variability in prompt length. Both frameworks increased word count and age-related keyword inclusion over time. While both frameworks led to more detailed prompts, all 7 participants in the post-search interviews stated they preferred PICO for its clarity and direct clinical applicability. The health literature-based AI instruction was highly valued, with participants appreciating the credibility and transparency of AI-provided peer-reviewed sources. These findings emphasize the importance of context-specific, domain-relevant frameworks in AI literacy training for health sciences professionals, suggesting that effective health sciences-focused AI tools must provide reliable sources and features tailored to clinical decision-making needs. The results suggest that health sciences librarians can contribute greatly by integrating information literacy and AI prompt engineering into evidence-based professional education.</div></div>","PeriodicalId":47762,"journal":{"name":"Journal of Academic Librarianship","volume":"52 2","pages":"Article 103217"},"PeriodicalIF":2.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146189359","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sina J. Fakoyede, Femi E. Babalola, Stella K. Ekundayo, Deborah O. Alabi
{"title":"Improving equitable access to library resources in tertiary institutions: Overcoming policy, infrastructure, and socio-cultural barriers","authors":"Sina J. Fakoyede, Femi E. Babalola, Stella K. Ekundayo, Deborah O. Alabi","doi":"10.1016/j.acalib.2026.103219","DOIUrl":"10.1016/j.acalib.2026.103219","url":null,"abstract":"<div><div>This study examines the challenges to inclusivity and equitable access to library resources in Nigerian tertiary institutions, focusing on both physical and electronic resources. It investigates how university library policies, infrastructure, and socio-cultural factors affect access to quality education, especially for marginalized groups, including indigenous students and those with disabilities. Theoretically guided by Bourdieu's cultural capital theory and Vygotsky's social constructivism, the study employed an exploratory sequential mixed-methods design. Qualitative data were first collected through 30 focus groups to explore emergent themes, followed by a quantitative survey of 600 undergraduate science education students purposively selected from three federal universities in southwestern Nigeria. Quantitative data were analyzed using descriptive statistics, while thematic analysis was applied to the qualitative data. Findings reveal that restrictive policies, inadequate infrastructure, high data costs, English-language hegemony, and cultural insensitivity significantly hinder resource utilization, leading to widespread disengagement. The study recommends policy reforms, infrastructural upgrades, multilingual interfaces, staff cultural training, and disability-inclusive practices to foster greater equity. These contributions aim to advance the United Nations' Sustainable Development Goals (SDGs) 4 and 10 by promoting inclusive quality education in Nigeria's diverse tertiary landscape.</div></div>","PeriodicalId":47762,"journal":{"name":"Journal of Academic Librarianship","volume":"52 2","pages":"Article 103219"},"PeriodicalIF":2.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146189355","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A queer institution: LGBTQ+ librarian identity, belonging, and libraries as sites of struggle","authors":"Elizabeth Kamper, Joseph Kohlburn","doi":"10.1016/j.acalib.2026.103220","DOIUrl":"10.1016/j.acalib.2026.103220","url":null,"abstract":"<div><div>Libraries are a locus for social change, but the friction between external expectations on the professional role of the worker and outward expression of identity cannot be ignored. The goal of this study is to highlight some of the issues with alienation for historically marginalized populations from libraries and higher education and learn from LGBTQIA+ populations about what additional efforts can be applied to bring other historically marginalized populations into the profession. This study interrogates the confluence of gender, sexuality and identity to map commonalities among professional queer-identifying librarians working primarily in the academic library realm. Using survey and focus group data, the pragmatic grounded theory approach is designed to create an inductively constructed framework for understanding how librarians who identify as LGBTQ+ see themselves vis-a-vis the institutional apparatus of ‘the library’. The study results demonstrate the impact of ongoing struggle between queer librarian self-advocacy and institutional exploitation in the name of DEIA initiatives and patriarchal professional practices. The codebook developed from this study can serve as a model for future investigations of queer experiences of librarians at any institutional level and practice.</div></div>","PeriodicalId":47762,"journal":{"name":"Journal of Academic Librarianship","volume":"52 2","pages":"Article 103220"},"PeriodicalIF":2.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146189356","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Transformative information literacy: Teaching information literacy for perspective transformation","authors":"Jane Hammons","doi":"10.1016/j.acalib.2026.103215","DOIUrl":"10.1016/j.acalib.2026.103215","url":null,"abstract":"<div><div>There has been fairly limited consideration of transformative learning theory in relation to information literacy teaching practices in academic libraries. This paper presents an original theoretical model for teaching information literacy which is inspired by transformative learning theory and the notion of “perspective transformation.” In this model, the goal of information literacy instruction is to facilitate a change in the learner's frame of reference in relation to information and how they engage with information. To do so, the model outlines three domains where academic librarians can focus their attention: the learner's mental model of the information environment, their information identity, and their information practices. The hope is that the model may provide academic librarians with an opportunity to reflect on, and potentially reconsider, how they frame their goals for and approach to teaching information literacy.</div></div>","PeriodicalId":47762,"journal":{"name":"Journal of Academic Librarianship","volume":"52 2","pages":"Article 103215"},"PeriodicalIF":2.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146189358","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"UK librarians' views of chatbots: a study based on fictional scenarios","authors":"Andrew M. Cox , Neil Dixon","doi":"10.1016/j.acalib.2026.103213","DOIUrl":"10.1016/j.acalib.2026.103213","url":null,"abstract":"<div><div>The potential of Artificial Intelligence (AI) in libraries, including use of chatbots, has been widely discussed in recent years. This paper investigates how library professionals see the role of chatbots in the library context. As a data collection method, the study used the arts-based approach of fictional scenarios, which are short, crafted stories representing possible futures. Participants (UK librarians) responded to researcher-authored fictional scenarios and wrote their own. In response to the fictional scenarios authored by the researchers, participants were negative about giving chatbots agency or human-like characteristics. Resource issues and ethics also appeared in their responses as barriers. Participants were more positive about time saving applications and data analysis. In the fictional scenarios participants wrote themselves they tended to imagine rather narrow, low-level functions for AI. The theory of professions is drawn on to interpret the resistance of professionals to more capable AI and the assertion of human agency.</div></div>","PeriodicalId":47762,"journal":{"name":"Journal of Academic Librarianship","volume":"52 2","pages":"Article 103213"},"PeriodicalIF":2.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146189248","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Measuring Instagram's effectiveness for academic library service promotion: An AIDA model approach","authors":"Natasya Purnama Sari , Fuad Wahyu Prabowo","doi":"10.1016/j.acalib.2026.103199","DOIUrl":"10.1016/j.acalib.2026.103199","url":null,"abstract":"<div><h3>Purpose</h3><div>This study analyzes the effect of Instagram promotion on library users' decisions to utilize services at Universitas Negeri Semarang Library, addressing the need to optimize social media promotion strategies despite high visitation rates.</div></div><div><h3>Methodology</h3><div>A quantitative approach using the AIDA (Attention, Interest, Desire, Action) model was employed. Data were collected through questionnaires from 100 active students who follow @unneslibrary and have utilized library services. The analysis included validity and reliability tests, simple linear regression, and <em>t</em>-tests using SPSS.</div></div><div><h3>Findings</h3><div>Instagram promotion significantly influenced library users' decisions (regression coefficient = 0.453, R<sup>2</sup> = 0.495), with 49.5% of service utilization decisions explained by Instagram promotion based on the AIDA model. Among the dimensions, Interest scored the highest (M = 3.91), while Desire scored the lowest (M = 3.65). Features such as Stories, Highlights, and direct links to services were the most effective in driving user engagement.</div></div><div><h3>Research limitations</h3><div>This cross-sectional study was conducted at a single institution, which limits its generalizability. The effects of cross-platform social media promotion were not compared.</div></div><div><h3>Practical implications</h3><div>Library management should enhance Instagram promotion through quality content, consistent posting, and interactive features (stories, highlights, reels) to increase student engagement and service utilization.</div></div><div><h3>Originality</h3><div>This study extends the AIDA model application from commercial to higher education contexts, measuring actual service utilization behaviors rather than just awareness or intentions, providing novel insights into social media effectiveness in Indonesian academic libraries.</div></div>","PeriodicalId":47762,"journal":{"name":"Journal of Academic Librarianship","volume":"52 2","pages":"Article 103199"},"PeriodicalIF":2.3,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145981561","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"AI-driven personalization in library and information services: A systematic review of techniques, user outcomes, and ethical considerations","authors":"Zahra Neamatollahi , Farshid Danesh","doi":"10.1016/j.acalib.2025.103195","DOIUrl":"10.1016/j.acalib.2025.103195","url":null,"abstract":"<div><div>This article aims to systematically review AI-driven personalization in library services with AI, focusing on techniques, user outcomes, and ethical issues. The study conducted a systematic review in accordance with the 2020 PRISMA guidelines, searching Scopus, Web of Science Core Collection, and IEEE Xplore. From an initial pool of 460 articles, 24 were selected for analysis. The findings indicate that Natural Language Processing (NLP), recommendation systems, and machine learning algorithms are the most commonly used and effective methods for personalizing services. These are applied in reference chatbots for personalized assistance, automated indexing, and generative AI (GenAI) systems for content creation and summarization. These technologies enable more natural interactions and adaptable services, significantly improving user satisfaction and service quality. The deliberate use of GenAI offers a new perspective for developing smart, user-centered libraries and strategically enhancing the human role. The conclusion emphasizes that AI-driven personalization, especially through recommendation systems and 24/7 chatbots, enhances user experience and satisfaction. However, the study notes that most of these systems are limited to laboratory settings. The article systematically reviews the challenges and limitations of these services, providing solutions and recommendations for future research.</div></div>","PeriodicalId":47762,"journal":{"name":"Journal of Academic Librarianship","volume":"52 1","pages":"Article 103195"},"PeriodicalIF":2.3,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145938662","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Teaching data science workshops in academic libraries: Insights from attendance patterns and topic preferences","authors":"Gang Shao","doi":"10.1016/j.acalib.2025.103188","DOIUrl":"10.1016/j.acalib.2025.103188","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":47762,"journal":{"name":"Journal of Academic Librarianship","volume":"52 1","pages":"Article 103188"},"PeriodicalIF":2.3,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145840572","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kam Ming Ku, Vanessa Ramesh Mahboobani, Yifei Vivian Qiu, Tina T. Yang, Esther Mei Wa Woo
{"title":"Reshaping the future of academic library: Service model for holistic research data support","authors":"Kam Ming Ku, Vanessa Ramesh Mahboobani, Yifei Vivian Qiu, Tina T. Yang, Esther Mei Wa Woo","doi":"10.1016/j.acalib.2025.103180","DOIUrl":"10.1016/j.acalib.2025.103180","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":47762,"journal":{"name":"Journal of Academic Librarianship","volume":"52 1","pages":"Article 103180"},"PeriodicalIF":2.3,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145797760","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}