面向未来学习的学术资源保障平台建设研究  

Research on the Construction of an Academic Resource Support Platform for Future Learning

作　　者：张斌 祝小静[1] 闫雪 陈燕方 ZHANG Bin;ZHU Xiaojing;YAN Xue;CHEN Yanfang

机构地区：[1]中国人民大学图书馆,北京100872

出　　处：《大学图书馆学报》2025年第2期5-15,共11页Journal of Academic Libraries

摘　　要：在教育部推动未来学习中心建设的政策背景下,该文针对传统学术资源保障体系难以适应未来学习场景动态需求的问题,提出面向未来学习的学术资源保障平台建设框架。基于系统论构建“资源—技术—空间—服务”四链协同框架,阐释多模态资源动态聚合机制、智能技术协同范式、虚实空间融合逻辑与服务闭环优化路径及其相互之间的作用规律。研究提出分层治理的资源聚合架构、智能协同引擎技术体系、虚实共生的学习场域建构策略,并通过中国人民大学教学资源整合平台验证框架的可行性。Future learning,characterized by personalization,intelligence,interdisciplinary integration,and virtual-physical convergence,poses significant challenges to traditional academic resource support systems in meeting the dynamic learning demands.These limitations primarily manifest in four critical aspects:insufficient resource integration,fragmented technological infrastructures,limited spatial convergence,and outdated service models.In the context of the Ministry of Education s initiative to promote the establishment of future learning centers,this study aims to develop a framework for an academic resource support platform oriented toward future learning.By employing a collaborative framework based on four chains encompassing resources,technology,space,and service,this research seeks to address the limitations of traditional academic resource support systems and promotes the transformation towards more intelligent,adaptive,and personalized development.This research adopts a combined approach of theoretical modeling and empirical validation to explore the construction framework of the academic resource support platform for future learning.Theoretically grounded in systems theory,educational ecology theory,knowledge flow theory,and embodied cognition theory,the research develops a four-chain collaborative framework encompassing resources,technology,space,and service.This framework emphasizes dynamic knowledge services rather than static resource management,focusing on four critical dimensions:the adaptive aggregation of multimodal resources,the collaborative application of intelligent technologies,the integration of virtual and physical spaces,and optimization of services through demand-driven mechanisms.The practical application of the proposed framework is empirical validated through a case study analysis of the Teaching Resource Integration Platform at Renmin University of China.This platform employs a multi-tiered knowledge base design that facilitates seamless integration with the existing digital campus system

关 键 词：未来学习 学术资源保障 四链协同 多模态资源聚合 

分 类 号：G251.6[文化科学—图书馆学]