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论文编号：	14825
作者编号：	2120213472
上传时间：	2024/6/17 11:00:01
中文题目：	基于数智化技术的阅读推广模式研究
英文题目：	Research on reading promotion mode based on digital intelligence technology
指导老师：	柯平
中文关键字：	数智化技术；阅读推广模式；阅读推广效果；评价体系
英文关键字：	digital intelligence technology；reading promotion model；reading promotion effectiveness；evaluation system
中文摘要：	随着新一代信息技术的飞速发展，数智化技术为图书馆阅读推广带来了革 命性的变革，为新时代下的图书馆阅读推广服务的创新，提供了重要的理论支 撑和实践路径。在这一背景下，如何借助数智化技术融合新的阅读推广模式， 以提升阅读推广效果，已成为图书馆领域亟待解决的问题。 本文在对国内外阅读推广主题研究进行了梳理以及对数智化技术具体应用 场景展开深入探讨的基础上，聚焦数智化技术的赋能下阅读推广的新特征，构 建了基于数智化技术的图书馆阅读推广新模式并提出具体应用场景。在实证研 究部分，将具体应用场景作为基于数智化技术的图书馆阅读推广新模式的解释 变量，探究其对公共图书馆阅读推广效果的影响程度。最后，通过对国内外图 书馆利用新一代数智化技术开展阅读推广的实践案例，分析基于数智化技术的 图书馆阅读推广的优势，并结合具体案例提出可实施、具体化、适应力强的可 行性建议，以期解决新时代、新环境、新读者等一系列阅读推广的新问题。论 文的主要研究结论如下： 第一，针对国内基于数智化技术的图书馆阅读推广模式进行了构建。结合 理论研究和实践调查，并通过公共图书馆阅读推广中数智化技术的应用现状， 设计了基于数智化技术的阅读推广模式框架，包括智慧系统和馆员、文献资源、 推广媒介与策略、读者个性化推荐、读者评价与反馈五个子模式，并分别介绍 相应模式的关键技术、模式构建和具体应用场景，结合国内智慧图书馆阅读推 广活动案例和研究成果，全面总结经验，系统分析当下公共图书馆实践活动中 的长处与不足。 第二，针对国内公共图书馆基于数智化技术的阅读推广模式各元素重要性 进行实证调研。通过实证研究和数据分析，探究读者视角下数智化阅读推广模 式的五要素对阅读推广效果的影响程度。研究发现各元素均具有不同程度的正 向影响作用，其中智慧系统和图书馆员是图书馆进行数智化阅读推广的关键， 是读者在参与活动、内容分享、互动过程中实现价值转化的桥梁。读者个性化 推荐是直接掌握读者阅读意图和兴趣，实现读者与资源、读者与图书馆系统、 读者与读者交流协作的前提。
英文摘要：	With the rapid development of the new generation of information technology, digital intelligence technology has brought revolutionary changes to library reading promotion, providing important theoretical support and practical path for the innovation of library reading promotion services in the new era. In this context, how to integrate the new reading promotion mode with the help of digital intellectualization technology in order to enhance the effect of reading promotion has become an urgent problem to be solved in the field of libraries. This paper focuses on the new features of reading promotion empowered by digital intelligence technology, constructs a new model of reading promotion in libraries based on digital intelligence technology and proposes specific application scenarios based on the combing of domestic and international research on the topic of reading promotion and in-depth discussion of specific application scenarios of digital intelligence technology. In the empirical research section, the specific application scenarios are taken as the explanatory variables of the new model of reading promotion in libraries based on digital intelligence technology, and the extent of its influence on the effect of reading promotion in public libraries is explored. Finally, the advantages of reading promotion in libraries based on digital intelligence technology are analyzed through the practical cases of reading promotion in libraries at home and abroad using the new generation of digital intelligence technology, and feasible suggestions that are implementable, concrete, and adaptable are put forward in combination with the specific cases, with a view to solving a series of new problems of reading promotion in the new era, the new environment, and the new readers. The main research conclusions of the thesis are as follows: First, a reading promotion model for libraries based on digital intellectualization technology is constructed in China. Combining theoretical research and practical investigation, and through the current situation of the application of digital intelligence technology in reading promotion in public libraries, the framework of reading promotion model based on digital intelligence technology is designed,including five sub-models of intelligent system and librarians, literature resources, promotion media and strategy, reader personalized recommendation, reader evaluation and feedback, and the key technology, model construction and specific application scenarios of the corresponding models are introduced respectively, combined with the Combined with the cases and research results of reading promotion activities of domestic smart libraries, it comprehensively summarizes the experience and systematically analyzes the strengths and shortcomings of the practical activities of public libraries at present. Second, an empirical research is conducted on the importance of each element of the reading promotion model based on digital intelligence technology in domestic public libraries. Through empirical research and data analysis, the degree of influence of the five elements of the digital-smart reading promotion model on the effect of reading promotion from the readers' perspective is explored. It is found that each element has a different degree of positive influence, in which the intelligent system and librarians are the key to digital-intelligent reading promotion in libraries, and are the bridge for readers to realize the value transformation in the process of participating in activities, content sharing, and interaction. Readers' personalized recommendations are the prerequisite for directly grasping readers' reading intentions and interests, and realizing the communication and collaboration between readers and resources, readers and library systems, and readers and readers.
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