The Intelligent Transformation of Academic Libraries: From Resource Repositories to Smart Service Hubs
Abstract
from 239 medical students (survey), institutional case studies (Nanchang, Xi'an Jiaotong, Wuhan, BIT), and bibliometric analyses (171 CNKI
+ 258 WoS papers), this review reveals a three?level AI literacy structure among students ethical awareness (4.05/5) > basic skills (3.98)
> innovative application (3.92) and a polarised demand for smart services: high for basic AI tools (66.95% want chatbots) but low for advanced services (e.g., knowledge graphs, 26.36%). Key bottlenecks include fragmented technology, an ageing librarian workforce (40+ years
= 77.2%), and a severe supplydemand mismatch (overall satisfaction 3.51/5). We propose a "literacyservice fit" optimisation model (L1:
tool?based; L2: data?analytical; L3: innovation?driven) and reposition libraries as four?dimensional smart education enablers: resource hub,
spatial carrier, literacy base, and ecosystem nexus.
Keywords
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DOI: http://dx.doi.org/10.70711/wef.v4i2.9619
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