摘要
[目的/意义]当前大学图书馆的阅读推广主要以提高阅读普及率为目标,与大学生的真实需求不相匹配。大学图书馆应聚焦自身与读者显著的学术性特征,推动阅读推广体系向服务大学生学习与研究进行转型,为大学文化育人、科研进步作出更大贡献。[方法/过程]通过文献调研与实例分析,探讨当前大学图书馆阅读推广的特征、存在的问题等,结合新的技术发展趋势与理论研究动态,提出大学图书馆阅读推广转型的新理念,对改进后的大学图书馆阅读推广体系进行诠释。[结果/结论]大学图书馆阅读推广应具有鲜明的学科导向,将数据分析贯穿全过程,注重收集、分析、加工并推广师生真实需求所对应的实质内容,充分发挥大学图书馆在大学专业教学与研究过程中的重要支撑作用。
[Purpose/significance]The current reading promotion in university libraries is mainly aimed at increasing the popularity of reading,which does not match the real needs of college students.University libraries should focus on their significant academic characteristics with readers,promote the transformation of the reading promotion system to serve the learning and research of college students,and make greater contributions to the education of university culture and scientific research progress.[Method/process]Through literature research and case analysis,this paper explored the characteristics and problems of current reading promotion in university libraries,and combined new technological development trends and theoretical research trends to propose a new concept for the transformation of reading promotion in university libraries,and interpreted the improved reading promotion system in university libraries.[Result/conclusion]Reading promotion in university libraries should have a clear disciplinary orientation,integrate data analysis throughout the entire process,focus on collecting,analyzing,processing,and promoting the actual content of the real needs of teachers and students,and give full play to the important supporting role of university libraries in the teaching and research process of university specialty.
作者
杨新涯
尹伟宏
王莹
Yang Xinya;Yin Weihong;Wang Ying(Chongqing University Library,Chongqing 400044;School of Economics and Business Administration,Chongqing University,Chongqing 400044)
出处
《图书情报工作》
CSSCI
北大核心
2020年第17期58-63,共6页
Library and Information Service
基金
国家哲学社会科学基金重大项目"图书馆阅读推广理论与实践研究"(项目编号:18ZDA324)研究成果之一。
关键词
大学图书馆
阅读推广
智慧图书馆
智慧服务
数据驱动
university library
reading promotion
smart library
intelligence service
data-driven
