远程教育杂志2026，Vol.44Issue(2)：80-92,13.DOI:10.15881/j.cnki.cn33-1304/g4.2026.02.009
社会空间学习分析的循证研究:ETBS整合框架构建及案例分析
Evidence-Informed Research on Socio-Spatial Learning Analytics:Construction of the ETBS Framework and a Case Study
摘要
Abstract
With the rapid development of intelligent technologies and multimodal sensing environments,learning spaces are increasingly characterized by the integration of physical-virtual contexts and a high degree of contextualization.However,existing learning analytics research has paid limited attention to socio-spatial structures and interaction mechanisms,making it difficult to ef-fectively capture the dynamics of complex collaborative learning processes.To address this gap,this study first clarifies the core con-notations of socio-spatial learning analytics and synthesizes its interdisciplinary theoretical foundations.It then employs a systematic bibliometric analysis to examine the field from both synchronic structural and diachronic evolutionary perspectives,identifying its key themes and developmental trajectories.Based on these analyses,an ETBS four-dimensional framework is constructed,comprising En-vironment(E),Technology(T),Behavior(B),and Strategy(S).The framework elucidates the underlying logic in which environments generate problem contexts,technologies enhance meaning-making processes,behaviors reveal educational significance,and strategies drive iterative value development.Finally,a case study of the TeamVision system is conducted to validate the framework's effective-ness in helping analyze simulated learning spaces,integrate multimodal data,quantify collaborative behaviors,and support iterative in-structional interventions.This study provides an integrated methodological framework for analyzing complex learning spaces,designing instructional interventions,and informing ethical governance.关键词
社会空间学习分析/学习空间/多模态学习分析/复杂学习环境/教学干预Key words
Socio-spatial learning analytics/Learning spaces/Multimodal learning analytics/Complex learning environments/Instructional intervention分类
社会科学引用本文复制引用
丁继红,罗寒,夏冰,刘华中..社会空间学习分析的循证研究:ETBS整合框架构建及案例分析[J].远程教育杂志,2026,44(2):80-92,13.基金项目
2023年国家自然科学基金面上项目"双螺旋协作学习过程多模态分析与全息数字画像及精准干预研究"(项目编号:62277012)、2026年国家自然科学基金地区项目"旨向情感认知协同演化的编程学习动态知识追踪与干预研究"(项目编号:62567002). （项目编号:62277012）
