Journal of Academic Librarianship最新文献_第3页

UK librarians' views of chatbots: a study based on fictional scenarios 英国图书管理员对聊天机器人的看法：一项基于虚构场景的研究

IF 2.3 3区管理学

Journal of Academic Librarianship Pub Date : 2026-03-01 Epub Date: 2026-02-05 DOI: 10.1016/j.acalib.2026.103213

Andrew M. Cox , Neil Dixon

引用次数: 0

Measuring Instagram's effectiveness for academic library service promotion: An AIDA model approach 衡量Instagram对高校图书馆服务推广的有效性：一种AIDA模型方法

IF 2.3 3区管理学

Journal of Academic Librarianship Pub Date : 2026-03-01 Epub Date: 2026-01-13 DOI: 10.1016/j.acalib.2026.103199

Natasya Purnama Sari , Fuad Wahyu Prabowo

{"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}

引用次数: 0

AI-driven personalization in library and information services: A systematic review of techniques, user outcomes, and ethical considerations 图书馆和信息服务中人工智能驱动的个性化：对技术、用户结果和道德考虑的系统回顾

IF 2.3 3区管理学

Journal of Academic Librarianship Pub Date : 2026-01-01 Epub Date: 2026-01-05 DOI: 10.1016/j.acalib.2025.103195

Zahra Neamatollahi , Farshid Danesh

{"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}

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

Journal of Academic Librarianship Pub Date : 2026-01-01 Epub Date: 2025-12-22 DOI: 10.1016/j.acalib.2025.103188

Gang Shao

{"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}

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

Journal of Academic Librarianship Pub Date : 2026-01-01 Epub 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

{"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}

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

Journal of Academic Librarianship Pub Date : 2026-01-01 Epub Date: 2025-12-24 DOI: 10.1016/j.acalib.2025.103187

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

{"title":"Evaluating metaverse-based library orientation with Roblox for first-year students","authors":"Sumalee Sangamuang , Pakinee Ariya , Songpon Khanchai , Kannikar Intawong , Kitti Puritat","doi":"10.1016/j.acalib.2025.103187","DOIUrl":"10.1016/j.acalib.2025.103187","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":47762,"journal":{"name":"Journal of Academic Librarianship","volume":"52 1","pages":"Article 103187"},"PeriodicalIF":2.3,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145840492","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}

引用次数: 0

Revisiting perceptions of and experience using artificial intelligence among North American librarians 重新审视北美图书馆员对人工智能的认知和使用经验

IF 2.3 3区管理学

Journal of Academic Librarianship Pub Date : 2026-01-01 Epub Date: 2026-01-02 DOI: 10.1016/j.acalib.2025.103198

Wilhelm Peekhaus

{"title":"Revisiting perceptions of and experience using artificial intelligence among North American librarians","authors":"Wilhelm Peekhaus","doi":"10.1016/j.acalib.2025.103198","DOIUrl":"10.1016/j.acalib.2025.103198","url":null,"abstract":"<div><div>This article reports the findings from two web-based surveys conducted among North American librarians in 2019 and 2025 about their perceptions of and experience with artificial intelligence (AI). Librarians are using AI for a range of activities in the library, though not to the extent one might expect. Surprisingly, there are relatively high levels of uncertainty about whether the library owns or actively uses AI. Librarian perceptions of AI are mixed. AI usage and levels of satisfaction with the answers generated by AI are higher for librarians in their personal than professional lives. Less than half of librarian respondents think that AI has the potential to improve library operations and only 40 % believe that AI has the potential to replace aspects of their jobs. There has been a clear increase in the use of AI among academic librarians both in their private lives and in academic libraries over the past six years. Positive perceptions of AI have also increased, although they have yet to achieve majority numbers. Ownership of AI in academic libraries has increased since 2019 but levels are still low at less than one-third. Similarly, active use of AI in academic libraries has expanded, although overall levels of use remain relatively low. Respondents in 2025 revealed higher levels of positivity about the impact of AI on their work, as well as the belief that AI could possibly replace some of their job responsibilities.</div></div>","PeriodicalId":47762,"journal":{"name":"Journal of Academic Librarianship","volume":"52 1","pages":"Article 103198"},"PeriodicalIF":2.3,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145884395","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}

引用次数: 0

Adoption of artificial intelligence in academic libraries: A systematic review of current practices, challenges, and research opportunities 人工智能在学术图书馆的应用：对当前实践、挑战和研究机会的系统回顾

IF 2.3 3区管理学

Journal of Academic Librarianship Pub Date : 2026-01-01 Epub Date: 2025-12-11 DOI: 10.1016/j.acalib.2025.103185

Lateef Ayinde , Raphael Ebiefung , Bolaji David Oladokun

{"title":"Adoption of artificial intelligence in academic libraries: A systematic review of current practices, challenges, and research opportunities","authors":"Lateef Ayinde , Raphael Ebiefung , Bolaji David Oladokun","doi":"10.1016/j.acalib.2025.103185","DOIUrl":"10.1016/j.acalib.2025.103185","url":null,"abstract":"<div><div>Given the strategic role of academic libraries in higher education, this study provides a systematic literature review on the current practices, challenges to the adoption of Artificial Intelligence and the future research directions in academic libraries. A total of 29 relevant articles were used for review based on their relevance. Only peer-reviewed journal articles and conference papers published in the last five years (2020–2024) were selected and included in the study. Web of Science, SCOPUS, and Library and Information Science Abstract (LISA) were the databases consulted. The current practices were grouped into six major dimensions, including technical services, references and information services, administrative services and circulation, collection development, information literacy and user education, and professional development and collaboration. The results showed that the most prominent use of AI in academic libraries is for reference and information services. Furthermore, it was found that 48.28 % (14) of the articles cited Funding as the major institutional challenge to AI adoption in academic libraries. A cluster of studies included in the review emphasized the need for more user-driven research on AI applications in academic libraries. This study reflects the importance of retraining librarians to develop new competencies in managing AI-enhanced communication tools, including chatbot integration and prompt engineering.</div></div>","PeriodicalId":47762,"journal":{"name":"Journal of Academic Librarianship","volume":"52 1","pages":"Article 103185"},"PeriodicalIF":2.3,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145749769","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}

引用次数: 0

Are we ghosts in the machine? AI, agency, and the future of libraries 我们是机器里的鬼魂吗？人工智能、代理和图书馆的未来

IF 2.3 3区管理学

Journal of Academic Librarianship Pub Date : 2026-01-01 Epub Date: 2025-12-05 DOI: 10.1016/j.acalib.2025.103181

Quincy Dalton McCrary

{"title":"Are we ghosts in the machine? AI, agency, and the future of libraries","authors":"Quincy Dalton McCrary","doi":"10.1016/j.acalib.2025.103181","DOIUrl":"10.1016/j.acalib.2025.103181","url":null,"abstract":"<div><div>Artificial intelligence (AI) integration is fundamentally transforming information literacy and library-based research, often without student awareness or institutional review. As database vendors embed AI capabilities such as article summarization, enhanced search, and clinical decision support into familiar resources, students are increasingly engaging in a collaborative process that redistributes core tasks like source selection and information synthesis. This shift moves the research workflow from student-led inquiry toward machine-guided assistance. This article offers a conceptual analysis and theoretical framework for understanding this redistribution of agency, aiming to equip educators and librarians with vocabulary to address these changes and to pave the way for future empirical work. Without intervention, students risk becoming passive passengers in their own research process, potentially undermining the traditional goals of information literacy grounded in autonomy and deliberate practice. To ensure that AI enhances rather than replaces critical thinking, academic libraries must champion transparency, preserve choice in research methods, provide comprehensive AI literacy instruction, and maintain institutional accountability through ongoing assessment.</div></div>","PeriodicalId":47762,"journal":{"name":"Journal of Academic Librarianship","volume":"52 1","pages":"Article 103181"},"PeriodicalIF":2.3,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145692592","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}

引用次数: 0

Validating design principles for teaching information problem solving in higher education: Academic librarians' perspectives 验证高等教育中信息问题解决教学的设计原则：学术图书馆员的观点

IF 2.3 3区管理学

Journal of Academic Librarianship Pub Date : 2026-01-01 Epub Date: 2025-12-16 DOI: 10.1016/j.acalib.2025.103183

Josien Boetje , Esther Zeedijk , Stan van Ginkel , Matthijs Smakman , Johan Versendaal , Erik Barendsen

{"title":"Validating design principles for teaching information problem solving in higher education: Academic librarians' perspectives","authors":"Josien Boetje , Esther Zeedijk , Stan van Ginkel , Matthijs Smakman , Johan Versendaal , Erik Barendsen","doi":"10.1016/j.acalib.2025.103183","DOIUrl":"10.1016/j.acalib.2025.103183","url":null,"abstract":"<div><div>Information Problem Solving (IPS) competence is vital for academic success. However, higher education students often struggle to use digital information effectively, underscoring the need for instructional interventions. Evidence-based design principles for teaching and learning IPS can guide such instructional design. Yet, it remains unclear whether academic librarians, who frequently teach IPS, find such principles useful and feasible to implement. This study validates seven design principles identified in a prior literature review. The study uses mixed-methods data from focus groups and surveys with 61 academic librarians at Dutch universities. Findings show that librarians perceive the principles as highly useful, yet practical adoption depends on ease of use, which was rated substantially lower. Ease of use was influenced by multiple external factors, including characteristics of librarians, faculty, and students, as well as their interactions within the learning environment. Among these, librarian-faculty collaboration proved critical for implementing key principles such as repeated instruction embedded in the curriculum and authentic learning tasks. These served as foundations for applying additional principles such as practice, support, and feedback. Despite barriers, librarians creatively adapted principles to local contexts. The study highlights the need for systemic support and collaboration to integrate IPS instruction effectively into higher education curricula.</div></div>","PeriodicalId":47762,"journal":{"name":"Journal of Academic Librarianship","volume":"52 1","pages":"Article 103183"},"PeriodicalIF":2.3,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145797818","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}

引用次数: 0