用户数据视角下理工科大学生 人文类图书阅读率提升路径探析.
Saved in:
| Title: | 用户数据视角下理工科大学生 人文类图书阅读率提升路径探析. |
|---|---|
| Alternate Title: | Exploring the Enhancement Paths of Humanistic Book Reading for Science and Engineering Students from a User Data Perspective. |
| Authors: | 张海霞1, 张灵芝2, 郭文丽1 |
| Source: | Journal of Academic Library & Information Science. 3/10/2026, Vol. 44 Issue 2, p124-130. 7p. |
| Subject Terms: | *Library circulation & loans, *Library reference services, *Engineering students, *Classroom environment, *Overpressure (Education), Quantitative research |
| Abstract (English): | This study examines the borrowing data of humanistic books among undergraduate students in science and engineering disciplines from 2015 to 2024 cohorts, identifying a consistent decline in both the volume of books borrowed and the number of readers across cohorts. Through a multifactorial analysis, the study uncovers potential factors contributing to this trend, including the impact of digital intelligence technologies, inadequate guidance from librarians, insufficiently appealing reading environments, variations in academic pressure and knowledge demands across different educational stages, limited influence from teachers and peers, and the impact of social emergencies. In response to these challenges, the study proposes targeted enhancement strategies in six key areas: resource integration, innovative promotion, environmental optimization, service precision, collaborative management, and technological empowerment. [ABSTRACT FROM AUTHOR] |
| Abstract (Chinese): | 以北京邮电大学 2015-2024 届理工科大学生为研究对象, 对其借阅人文类图书的数据进行量化分析, 发现人文 类纸质图书的阅读册次与人次呈现逐届下降趋势。 通过多因素分析, 揭示导致该现象的潜在因素包括: 数智技术的冲击、图 书馆员导引作用不足、阅读环境吸引力欠缺、不同学段学业压力与知识需求差异、教师与同伴带动不足以及社会突发事件的 影响等。 继而从资源融合、推广创新、优化环境、精准服务、协作管理和技术赋能等方面提出针对性提升路径。 [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Academic Library & Information Science is the property of Anhui University and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Education Research Complete |
Be the first to leave a comment!
