专题:从信息素养到人工智能素养

英国公务员数字素养与技能提升的政策演进与实施路径研究*

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  • (1.南京大学数据管理创新研究中心   江苏苏州   215011)
    (2.南京大学信息管理学院   江苏南京   210023)
    (3.西华大学图书馆   四川成都   610039)
夏义堃,女,南京大学数据管理创新研究中心教授,博士生导师,研究方向:政府数据治理、科学数据管理;韩广坤,女,南京大学信息管理学院硕士研究生,研究方向:政府数据治理、数据开放;周海峰,女,西华大学图书馆副研究馆员,研究方向:信息分析与应用、信息资源建设与信息服务。

收稿日期: 2024-02-04

  网络出版日期: 2024-07-23

基金资助

*本文系国家社会科学基金重大项目“基于数智融合的信息分析方法创新与应用研究”(项目编号:22&ZD326)研究成果之一。

Research on the Policy Evolution and Implementation Path of Digital Literacy and Skill Improving for British Civil Servants

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Received date: 2024-02-04

  Online published: 2024-07-23

摘要

提升公务员数字素养是促进政府数字化转型,提高数字治理能力的内在要求。探究英国公务员数字素养与技能提升的政策演进与实施路径,可为加强我国公务员数字素养与技能培训提供参考。文章通过文献调研和桌面调查,获取英国政府公务员数字素养教育、数字能力建设相关政策文本及活动资料,从而系统梳理其政策演进与实践内容。研究发现:英国公务员数字素养与技能提升政策经历了初期偏重技术主导、中期建构综合性能力体系与培训框架和当前强调系统性优化三个阶段。随着政策认知逐步深化,政策目标、政策框架、政策主体、政策工具不断优化,呈现出与国家数据战略、政府数字化转型高度契合的演进特征。在实施路径上,以强化高级公务员培训为引领,以推进分级分类为重心,以搭建平台营造生态为依托,形成了形式丰富、特色鲜明的全方位培训体系,并在政策体系、培训组织、内容建构、平台网络等方面为我国提供了参考借鉴。

本文引用格式

夏义堃 韩广坤 周海峰 . 英国公务员数字素养与技能提升的政策演进与实施路径研究*[J]. 图书与情报, 2024 , 44(03) : 48 -59 . DOI: 10.11968/tsyqb.1003-6938.2024032

Abstract

Improving the digital literacy of civil servants is an inherent requirement for promoting government digital transformation and enhancing digital governance capabilities. Exploring the policy evolution and implementation path for improving the digital literacy and skills of British civil servants can provide reference for strengthening the digital literacy and skills training of Chinese civil servants. Through literature research and desktop survey, this paper has gathered relevant policy texts and activity data on digital literacy education and digital capacity building of British civil servants, so as to systematically sort out their policy evolution and practice contents. The digital literacy and skills improvement policy of British civil servants has gone through three stages: initial emphasis on technology-led, mid-term construction of comprehensive competence system and training framework, and current systematic optimization. With the gradual deepening of policy cognition, the policy goals, framework, subjects, and tools have been continuously optimized, showing the evolution characteristics that are highly consistent with the national data strategy and the government's digital transformation. In terms of implementation, it has taken the lead in strengthening advanced civil servant training, given priority to progressive classification, and relied on platform construction and ecosystem creation to form a comprehensive training system with diverse forms and distinctive features. That has provided reference and learning for China in terms of policy system, training organization, content construction, and platform network.
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