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数智人文赋能老年学员终身学习驱动路径的组态分析OA

Configurational Analysis of the Driving Paths for Lifelong Learning of Elderly Learners Empowered by Digital Intelligence and Humanities

中文摘要英文摘要

数智赋能学习型社会建设,能够有效支持和促进老年人的终身学习.基于人的发展之"二层次三因素"与社会技术系统理论,形成数智人文研究视域,对1682名上海社区(老年)学校的老年学员终身学习情况进行了定量及定性比较研究.研究发现,老年学员终身学习意愿较高,受心理资本、自我价值、家校合作、代际支持、人机交互及人际交互等多重因素影响,形成主体参与驱动型、数智人文耦合型、代际学习支持型、社会适应效能型四个终身学习画像类型.为推动老年学员终身学习,应激发主体学习自信,夯实终身学习内在根基;拓展技术应用场域,深化数智融合学习实践;聚焦社会技术系统,优化服务体系整体效能.

The construction of a digital intelligence empowered learning society will support and facilitate lifelong learning for billions of elderly people.This study is based on the theory of"two levels and three factors"of human development and the theory of socio-technical systems,forming a research perspective on digital intelligence and humanities.It conducted quantitative and qualitative comparative research on the lifelong learning situation of 1682 elderly students in community(elderly)schools in Shanghai.The research results show that elderly learners have a higher lifelong learning willingness,which is influenced by multiple factors such as psychological capital,self-worth,home school cooperation,inter-generational support,human-computer interaction,and interpersonal interaction,and forms four types of configuration profiles:individual participation driven type,digital intelligence humanistic coupling type,inter-generational learning support type,and social adaptation effectiveness type.To promote lifelong learning among elderly learners,we should stimulate their self-confidence in learning and consolidate the inherent foundation of lifelong learning;expand the field of technology application and deepen the practice of digital and intelligent integrated learning;focus on the social technology system and optimize the overall efficiency of service system.

李家成;于星漫;李德明

华东师范大学上海终身教育研究院(上海,200062)华东师范大学上海终身教育研究院(上海,200062)华东师范大学上海终身教育研究院(上海,200062)||吉林外国语大学教育科学研究院(长春,130117)

社会科学

数智人文老年教育终身学习定性比较研究

digital and intelligence humanitieselderly educationlifelong learningqualitative comparative analysis

《职业技术教育》 2026 (10)

66-72,7

2021年度国家社会科学基金教育学重点课题"服务全民终身学习视域下社区教育体系研究"(AKA210019),主持人:李家成2025年吉林省高等教育教学改革重点课题"基于数据挖掘的网络学习行为分析及其教学策略研究"(2025UT3S558005B),主持人:李德明

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