未来社区“一老一小”代际学习倾向性分析——基于K-prototype聚类算法  

Analysis of Intergenerational Learning Tendencies of“The Elderly and Children”in Future Communities--Based on K-prototype Clustering Algorithm

作　　者：鲍江民 卜星 Bao Jiangmin;Bu Xing(Taizhou Open University,Taizhou 318000,China;School of Management,Taizhou Vocational and Technical College,Taizhou 318000,China)

机构地区：[1]台州开放大学,浙江台州318000 [2]台州职业技术学院管理学院,浙江台州318000

出　　处：《继续教育研究》2025年第5期36-43,共8页Continuing Education Research

基　　金：浙江省教育科学规划2024年度一般规划课题(高校)“基于学习者画像的未来社区‘一老一小’代际学习服务平台构建探究”(编号:2024SCG171);2023年浙江省教育厅一般课题“四维共融:城乡未来社区教育发展研究”(编号:Y202352036)。

摘　　要：代际互动学习融入未来社区的建设不仅有助于促进代际情感、知识与文化的传递,还有利于实现积极老龄化、发展学习型社会。从老幼关联性特征出发,采集未来社区“一老一小”相关调查数据,针对包含老幼性别、年龄等类别数据与代际学习倾向性得分的混合型数据,采用K-prototype算法进行聚类划分“一老一小”群体。结果表明:聚类后,不同类别群体在六种代际类型的倾向性上呈现出明显差异。老年群体被划分标记为“文艺运动型”“劳动实践型”“兴趣全能型”三类,儿童群体被划分标记为“劳动行动派”“运动健康型”“兴趣广泛型”三类。后续可为老幼群体设计定制代际项目,推送个性化课程,提高需求与供给的适配度。The integration of intergenerational interactive learning into the construction of future communities is not only helpful to promote emotional,knowledge and cultural transmission between generations,but also is conducive to achieving active aging and the development of a learning society.Starting from the characteristics of the intergenerational correlation,we collect the survey data related to“the old and the young”in future communities and use the K-prototype algorithm to cluster“the elderly and children”groups,based on the mixed-type data including the gender and age of the old and the young and the propensity to intergenerational learning scores.The results show that after clustering,different categories of groups show significant differences in the propensity towards six types of intergenerational interactions.The elderly groups are divided and labeled into“Cultural and Sports Type”,“Labor Practice Type”and“Interest Omnipotent Type”,while the children groups are divided and labeled into“Labor Actionists”,“Sports Health Type”and“Interest Broad Type”.Subsequently,customized intergenerational projects can be designed for the elderly and children and personalized courses can be pushed to improve the matching degree of demand and supply.

关 键 词：“一老一小” 代际学习 倾向性 聚类分析 

分 类 号：G77[文化科学—教育学]