Abstract
Purpose
Artificial intelligence (AI) technologies is reshaping higher education. In response, university libraries are gradually adopting these tools to enhance service capability and foster user engagement. Aligned with Xi’an Jiaotong-Liverpool University’s “Education + AI Strategic Framework”, specifically the strategic goal of AI for Research and Innovation, this study examines how the Library leverages AI technologies to support scientific discovery and provide more inclusive, responsive library services.
Design/methodology/approach
This study provides a comprehensive perspective on the XJTLU Library AI-enhanced service framework. This framework consists of the LibAI Portal, a unified service platform that includes the LibAI Chatbot, LibAI Database Navigator, and LibAI ChatPDF, along with LibAI Agents and AI literacy workshops. Then, this study conducts a quantitative analysis of user data to examine this multiple AI technologies integration.
Findings
The findings demonstrate that AI-enabled services facilitate personalised interactions, streamline information retrieval, and support more effective resource allocation. Natural language processing capabilities enable intuitive user dialogues, improving service capability. The integration of AI has also promoted greater diversity and inclusivity in service provision, offering scalable support for users with varied research needs and AI literacy.
Originality/value
This study provides evidence-based insight into how university libraries can effectively leverage AI technologies to support scientific discovery and enhance user services in alignment with the university framework. Its important value lies in providing a verifiable and repeatable model for the intelligent transformation of libraries: infrastructure enhances resource utilisation; AI-Agent supports research and learning efficiency; and a systematic literacy education program empowers users, providing a practical implementation path for other university libraries.
Keywords
Artificial intelligence, University library, Research support, AI-driven tools, Library technology
Date of this Version
11-2025
Recommended Citation
Liping Yang, Jun Wang, Lulu Wang, and Zixuan Zhang,
"University Library Services Innovation: Strategic AI Integration and Evidence-Based Insights."
Proceedings of the IATUL Conferences.
Paper 7.
https://docs.lib.purdue.edu/iatul/2025/breakout/7
Included in
University Library Services Innovation: Strategic AI Integration and Evidence-Based Insights
Purpose
Artificial intelligence (AI) technologies is reshaping higher education. In response, university libraries are gradually adopting these tools to enhance service capability and foster user engagement. Aligned with Xi’an Jiaotong-Liverpool University’s “Education + AI Strategic Framework”, specifically the strategic goal of AI for Research and Innovation, this study examines how the Library leverages AI technologies to support scientific discovery and provide more inclusive, responsive library services.
Design/methodology/approach
This study provides a comprehensive perspective on the XJTLU Library AI-enhanced service framework. This framework consists of the LibAI Portal, a unified service platform that includes the LibAI Chatbot, LibAI Database Navigator, and LibAI ChatPDF, along with LibAI Agents and AI literacy workshops. Then, this study conducts a quantitative analysis of user data to examine this multiple AI technologies integration.
Findings
The findings demonstrate that AI-enabled services facilitate personalised interactions, streamline information retrieval, and support more effective resource allocation. Natural language processing capabilities enable intuitive user dialogues, improving service capability. The integration of AI has also promoted greater diversity and inclusivity in service provision, offering scalable support for users with varied research needs and AI literacy.
Originality/value
This study provides evidence-based insight into how university libraries can effectively leverage AI technologies to support scientific discovery and enhance user services in alignment with the university framework. Its important value lies in providing a verifiable and repeatable model for the intelligent transformation of libraries: infrastructure enhances resource utilisation; AI-Agent supports research and learning efficiency; and a systematic literacy education program empowers users, providing a practical implementation path for other university libraries.