中国老年教育政策的内容分析:从政策工具的角度看中国老年教育政策(1982-2021 年)

IF 1.7 4区 工程技术 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Complexity Pub Date : 2024-04-29 DOI:10.1155/2024/3837837
Mochang Qiu, Weidong Wang
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引用次数: 0

摘要

人口老龄化已成为世界上大多数国家面临的社会问题。发展老年教育是应对人口老龄化挑战的重要战略之一。本研究基于政策工具和老年教育类型的二维分析框架,采用内容分析法对中国近四十年来制定和发布的 49 份老年教育政策文件进行了分析。本研究旨在为中国和其他国家制定老年教育政策提供参考。研究结果表明,政策工具在不同类型之间和类型内部的分配并不一致。当务之急是出台新的纲领性文件,优化政策工具的配置,增强政策工具的适应性,从而推动老年教育的发展。
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Content Analysis of Elderly Education Policies in China: From the Perspective of Policy Instruments (1982–2021)

Population aging has emerged as a social issue in most countries worldwide. Developing education for the elderly is one of the key strategies to combat the challenges of an aging population. Based on the two-dimensional analysis framework of the policy instruments and the type of elderly education, the content analysis method was used to analyze 49 elderly education policy documents developed and issued in China over the last four decades in this study. This study aims to provide a reference for the formulation of education policies for the elderly in China and other countries. The results indicated that the allocation of policy instruments was inconsistent between and within types. It is imperative to issue new programmatic documents, optimize the allocation of policy instruments, and enhance their adaptability, thereby boosting the development of elderly education.

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来源期刊
Complexity
Complexity 综合性期刊-数学跨学科应用
CiteScore
5.80
自引率
4.30%
发文量
595
审稿时长
>12 weeks
期刊介绍: Complexity is a cross-disciplinary journal focusing on the rapidly expanding science of complex adaptive systems. The purpose of the journal is to advance the science of complexity. Articles may deal with such methodological themes as chaos, genetic algorithms, cellular automata, neural networks, and evolutionary game theory. Papers treating applications in any area of natural science or human endeavor are welcome, and especially encouraged are papers integrating conceptual themes and applications that cross traditional disciplinary boundaries. Complexity is not meant to serve as a forum for speculation and vague analogies between words like “chaos,” “self-organization,” and “emergence” that are often used in completely different ways in science and in daily life.
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