Data and AI-Driven Empowerment: Exploring Innovative Literacy Training Models in University Libraries_Vol. 3 No. 2 (JIKE 2025)_Journal of Intelligence and Knowledge Engineering (ISSN: 2959-0620)

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Data and AI-Driven Empowerment: Exploring Innovative Literacy Training Models in University Libraries

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DOI: https://doi.org/10.62517/jike.202504201

Author(s)

Lili Zheng

Affiliation(s)

Inner Mongolia University of Science & Technology Library, Baotou, China

Abstract

This study focuses on the digital intelligence era and provides an in-depth analysis of new literacy training in university libraries. It discusses how the rise of data-intelligence technologies has exposed the limitations of traditional literacy training, both in terms of content and methods, which are no longer sufficient to meet the diverse needs of students. The paper examines the current state of literacy training, emphasizing the importance of data and AI-driven empowerment in addressing these challenges. It proposes a range of innovative strategies and practical approaches, including: optimizing training content by incorporating cutting-edge data-intelligence knowledge and promoting interdisciplinary integration; innovating training methods through the use of online learning platforms, virtual resources, and interactive practical activities; enhancing faculty development by cultivating data-intelligence literate teachers and involving industry experts; and establishing a robust evaluation and feedback system to ensure continuous improvement.

Keywords

Digital Intelligence Era; University Libraries; New Literacy; Literacy Training

References

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