图书馆杂志

图书馆杂志 ›› 2025, Vol. 44 ›› Issue (415): 88-98.

• 信息素养论坛 • 上一篇    下一篇

新质生产力背景下信息资源管理专业学生数智素养评价指标体系构建研究∗

张裕晨1  王林漪1  邱均平1, 2(1 杭州电子科技大学中国科教评价研究院 2 杭州电子科技大学浙江高等教育研究院)   

  • 出版日期:2025-11-15 发布日期:2025-11-26
  • 作者简介:

    张裕晨 杭州电子科技大学中国科教评价研究院,副教授,硕士生导师。研究方向:信息计量与科教评价。作者贡献:选题拟定、数据收集、撰写指导、修改及定稿。E-mail zyc@hdu. edu. cn 浙江杭州 310018
    王林漪 杭州电子科技大学中国科教评价研究院,硕士研究生。作者贡献:文章整体框架设计、数据分析、内容撰写、论文修改。 浙江杭州 310018
    邱均平 杭州电子科技大学中国科教评价研究院,院长,资深教授,博士生导师。作者贡献:选题把控、撰写指导。 浙江杭州 310018

Research on the Construction of the Evaluation Index Systemfor Data-Intelligence Literacy of Information Resources Management Students in the Context of New-Quality Productive Force 

Zhang Yuchen1 Wang Linyi1 Qiu Junping1 2(1 Chinese Academy of Science and Education Evaluation Hangzhou Dianzi University 2 Zhejiang Academy of Higher Education Hangzhou Dianzi University)   

  • Online:2025-11-15 Published:2025-11-26
  • About author:

    Zhang Yuchen1 Wang Linyi1 Qiu Junping1 2(1 Chinese Academy of Science and Education Evaluation Hangzhou Dianzi University 2 ZhejiangAcademy of Higher Education Hangzhou Dianzi University)

摘要:

新质生产力的提出大大加快了社会数智化转型的过程,在此背景下,劳动者的数智素养变得越来越重要,高校学生作为即将进入社会的准劳动者,其数智素养也受到更多的关注。本研究利用层次分析法从数智伦理、数智思维、数智知识、数智胜任力4 个维度构建新质生产力背景下信息资源管理专业学生数智素养评价指标体系,以建立一个能够科学测量学生数智素养的测评框架。研究结果表明,数智伦理与数智思维是衡量数智素养最为重要的因素,数智安全伦理是运用数智技术的首要保障;批判思维是认知关键,数据基础知识是重要前提;数智技术的实际运用尚未成为重点。

关键词: 新质生产力&emsp, 信息资源管理&emsp, 数智素养&emsp, 评价指标&emsp, 新质人才

Abstract:

The proposal of new-quality productive force has greatly accelerated the process of socialdigital transformation. In this context data-intelligence literacy has become more and more importantwhile the cultivation of such literacy among college students as prospective members of the workforcehas also attracted growing attention. This study utilizes analytic hierarchy process AHP to construct anevaluation index system for assessing the data-intelligence literacy of Information Resources Managementstudents in the context of new-quality productive force from four dimensions data-intelligence ethicsthinking knowledge and competence in order to establish an evaluation framework that canscientifically measure students‘ data-intelligence literacy. The results of the study show that dataintelligenceethics and thinking are the most important factors for measuring data-intelligence literacy.Among them data-intelligence security ethics is the first guarantee for the use of data-intelligencetechnology critical thinking is the key to cognition and data basics is an important prerequisite.However the practical use of data-intelligence technology has not yet become a priority

Key words:

New-quality productive force, Information resources management, Data-intelligenceliteracy, Evaluation index, New-quality talent