A generative artificial intelligence-enhanced multiagent approach to empowering collaborative problem solving across different learning domains - Lanqin Zheng, Zhe Shi, Lei Gao -Science Direct

Collaborative problem-solving skills are among the most important skills in the 21st century. However, learners exhibit significant deficiencies in terms of their collaborative problem-solving skills. Emerging artificial intelligence (AI) technologies have given rise to transformative opportunities to facilitate collaborative problem solving through the introduction of adaptive learning mechanisms in educational settings. The results indicated that compared with chatbot-based and traditional approaches, the GenAI-enhanced multiagent approach had more significant effects on learning achievements, knowledge elaboration, and collaborative problem-solving performance and skills. The implications of these findings are discussed in depth with the goal of advancing the use of GenAI to empower collaborative problem solving.

https://www.sciencedirect.com/science/article/abs/pii/S036013152500257X