Construction and Optimization of the Reading Model Selection System in Academic Libraries——A Case Study of Peking University's "Weiming Reading Star" Selection
In the pursuit of a robust educational framework,academic libraries are instrumental in cultivating well-rounded individuals,underscoring the importance of their role in fostering a vibrant campus reading culture.This study addresses the imperative to harness the influence of reading models and the strategic use of university libraries to stimulate students'reading interests,enhance engagement in literary activities,and bolster the intellectual aura on campus.Employing a multifaceted approach encompassing literature review,empirical investigation,and in-depth case analysis,this paper meticulously assessed the selection and evaluation mechanisms of reading models within academic libraries.The "Weiming Reading Star" initiative at Peking University was spotlighted,offering a granular examination of its innovative selection procedures,the profound impact on student participation and the enrichment of campus reading culture.The study reveals that by establishing stringent selection criteria,formulating a comprehensive evaluation framework,and forging strategic alliances with student management and academic faculties,coupled with the adept use of digital and social media platforms,the "Weiming Reading Star" exemplifies a selection practice that thrives on continuous feedback and iterative improvement.This model provides a foundational blueprint for academic libraries,illuminating pathways to effectively cultivate a campus reading culture.Looking forward,the selection process is poised to embrace a more diverse array of indicators,refine evaluation mechanisms,and delve into the nuances of students'reading interests and potentials.The system is set to refine criteria for different reading behaviors,ensuring a comprehensive and equitable assessment of students'literary engagements.The initiative also envisions the introduction of a variety of honor awards to celebrate a broader spectrum of reading achievements.Moreover,the integration of interactive activities aims to amplify students'motivation and participation,while the application of advanced technologies such as data analysis and artificial intelligence is anticipated to assist personalized reading services,tailored to meet individual student needs.This forward-looking approach proposes to significantly enrich campus reading culture and the foster student competencies.This research,with its systematic evaluation and insightful analysis,presents not only a model of an evolving selection practice but also a structural framework that serves as a reference for academic libraries in their quest to cultivate a dynamic and enriching reading culture.
Academic LibrariesReading Role Model SelectionReading MotivationCampus Reading Culture
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