The Effects of AI-enhanced Adaptive Socially Shared Regulation Strategies on Science Pre-Service Teachers' Instructional Design Skills and Socially Shared Regulation in CSCL

Socially shared regulation of learning(SSRL) is closely related to the quality of learning. However, it is difficult for SSRL in CSCL to occur autonomously, as it often requires the support of certain strategies and tools. This study aimed to introduce Artificial intelligence(AI)-Enhanced Group Awareness tools(GATs) and Adaptive Prompts (APs) as adaptive SSRL strategies into CSCL.In this study, a 2 x 2 quasi-experiment was conducted with 64 science pre-service teachers, equally divided into three experimental groups and one control group. The results found that: (1)The combination of the two strategies was able to comprehensively affect the SSRL process. (2) In terms of improving the level of SSRL and instructional design skills, the combination of the two strategies was more effective than AI-Enhanced GATs on their own, which was more effective than AI-enhanced APs on their own.