Group emotion awareness in socially shared regulation of learning: a conceptual framework and process model

In collaborative learning environments, fostering positive emotional experiences and effective emotional management is of paramount importance for creating a supportive and productive learning atmosphere. A fundamental prerequisite for achieving this goal is the cultivation of timely and effective emotional awareness within collaborative groups. A growing body of research suggests that group emotional awareness during the collaborative process is critical to both the quality of team interaction and Socially Shared Regulation of Learning (SSRL). Drawing upon the characteristics of SSRL, this study proposes a conceptual framework for group emotional awareness by analyzing the specific emotional information required across different stages of shared regulation and their respective functional dimensions. To integrate emotional awareness into the SSRL process, this paper further constructs a corresponding process model and achieves its practical embedding through the design of instructional scaffolding and the integration of existing technological tools. Addressing the research question of how to implement group emotional awareness models in collaborative scenarios, this study adopts a theory-driven evidence-chain synthesis approach to integrate representative empirical findings. It synthesizes key conditions and process evidence-ranging from the externalization of emotional cues and shared interpretation to the formation of shared problem representations-thereby elucidating the feasible paths and applicable boundaries of the proposed model in supporting learners to enhance emotional awareness and conduct emotional attribution inquiries. Moving beyond previous research that predominantly focused on emotional measurement techniques or tool development, this paper advances the implementation framework for group emotional awareness in collaborative learning from the dual perspectives of theoretical modeling and evidence-chain support.