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OA

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.