Research on the AI Literacy Education Mode of University Library Facing Students

Abstract

Against the backdrop of artificial intelligence (AI) technology's deep integration into society and its transformative impact on higher education, AI literacy has become a core competency for college students to adapt to future workplaces. This study first defines the four-dimensional connotation of AI literacy encompassing "knowledge, skills, attitudes, and values," clarifying four essential capabilities required for students: foundational AI knowledge understanding, practical tool application, ethical awareness, and interdisciplinary innovation. It then analyzes the necessity from three perspectives: evolving talent demands, shifting educational objectives, and expanded library functions, while demonstrating feasibility through resource allocation, team collaboration, and spatial optimization. The research subsequently establishes an integrated AI literacy education model featuring "tiered cultivation, diversified integration, practice-oriented approaches, and ethical considerations." This model includes: a progressive curriculum system, resource support through "physical collections + digital resources + collaborative partnerships," a practice platform combining "in-campus simulations + off-campus real-world applications," and a composite faculty team comprising "library staff + departmental experts + industry mentors." Finally, it proposes implementation strategies involving "quadruple collaboration among libraries, departments, universities, and enterprises," innovative teaching methods, improved evaluation systems, and enhanced promotion efforts. The study aims to provide actionable AI literacy education solutions for university libraries, fostering high-quality talents who "master technology, excel in application, and shoulder responsibilities" in the AI era, thereby alleviating talent supply-demand imbalances.

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