Innovative Practices of AI-Empowered Academic Libraries in Driving the Development of Application-Oriented Majors: A Case Study of Zhaoqing University
DOI:
https://doi.org/10.6918/IJOSSER.202603_9(3).0008Keywords:
Artificial Intelligence Empowerment, Academic Libraries, Application-Oriented Major Development, Intelligent Service Innovation, Effectiveness Evaluation SystemAbstract
This paper takes Zhaoqing University Library as an example to explore how artificial intelligence (AI) technology empowers university libraries and drives the innovative development of application-oriented majors. Through constructing a tripartite service model integrating "technology-resources-service," the research systematically analyzes the specific applications of AI technology in resource construction, service innovation, and teaching-research support. Practices demonstrate that the introduction of AI technology significantly enhances resource utilization rates and service satisfaction, providing a replicable experiential paradigm for similar institutions. The paper also summarizes current challenges and proposes future directions for deepening development, including technological pathways and talent system construction suggestions.
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[1] Smith J, Johnson M. AI-Driven Resource Optimization in Academic Libraries [J]. Library Trends, 2023, 72(1): 45-68.
[2] Kaimusha Aisikaer. Research on University Library Recommendation System Integrating Resources and User Characteristics [D]. Central China Normal University, 2021. (In Chinese)
[3] Brown T, et al. The Impact of AI on Research Support Services [J]. Journal of Academic Librarianship, 2021, 47(3): 122-134.
[4] Ye Lan. Construction and Application Research on the Maturity Model of Scientific Data Management Service Capability in University Libraries [J]. Library and Information Service, 2022, 66(6): 3-14. (In Chinese)
[5] Zuo Jingyuan, Gu Xiaoning, Li Gang. Research on the Current Situation and Countermeasures of Artificial Intelligence Application in Library Intelligent Services [J]. Journal of Library Science, 2024, 46(10): 52-56. (In Chinese)
[6] Yang Bincheng. Research on the Application and Current Situation of Artificial Intelligence in Intelligent Services of Public Libraries [D]. East China Normal University, 2022. (In Chinese)
[7] Johnson M, et al. AI and the Future of Academic Librarianship [M]. Routledge, 2022.
[8] Sun Shanshan, Yu Zhengwen. Research on the Transformation of New Quality Productivity Empowering Intelligent Services in University Libraries [J]. Media Forum, 2025(18): 134-136. (In Chinese)
[9] Zong Ying. Strategies for AI-Empowered Intelligent Service Innovation in University Libraries [J]. Knowledge Economy, 2025(35): 45-48. (In Chinese)
[10] Liu Hai'ou, Huang Wenna, Yao Sumei, Tong Linjie. Contextualized Recommendation Based on Deep Learning for Mobile Library User Profiles [J]. Research on Library Science, 2019(21): 57-63. (In Chinese)
[11] Zhaoqing University Library. 2024 Annual Service Report [R]. 2024. (In Chinese)
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