AI-Mediated Emotional Framework in Collaborative Learning: Examining the Influence of Group Emotional Climate on Collaboration Outcomes
DOI:
https://doi.org/10.67065/n85cth30Keywords:
AI-mediated learning, group emotional climate, collaborative learning, co-regulation, mutual support, shared motivation, AI readiness, PLS-SEM.Abstract
This study aims to examine the influence of Group Emotional Climate on Collaboration Outcomes in AI-mediated collaborative learning environments. Although artificial intelligence is increasingly becoming part of higher education learning systems, the emotional and socio-regulatory process of collaborative learning is still not fully explained. Due to this reason, the present study develops an AI-mediated emotional framework by examining Co-Regulation and Mutual Support and Shared Motivation as mediating mechanisms, while AI Readiness is tested as both a direct predictor and moderating factor. A quantitative cross-sectional survey design was applied, and data were collected from 319 respondents with collaborative learning experience. The proposed model was tested through Partial Least Squares Structural Equation Modelling using SmartPLS. The findings show that Group Emotional Climate has a significant positive influence on Collaboration Outcomes, Co-Regulation and Mutual Support, and Shared Motivation. The result also confirms that Co-Regulation and Mutual Support significantly improves Collaboration Outcomes and mediates the relationship between Group Emotional Climate and Collaboration Outcomes. However, Shared Motivation does not significantly influence Collaboration Outcomes and does not mediate the relationship. AI Readiness also shows no significant direct influence on Collaboration Outcomes and does not moderate the relationship between Group Emotional Climate and Collaboration Outcomes. From the above findings, it can be understood that emotional climate improves collaboration mainly when it is converted into active co-regulation and mutual support. Therefore, collaboration in AI-mediated learning environments depends more on emotional regulation and mutual assistance than on shared motivation or general AI readiness alone.
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