Construction of a Project-Based Learning Model under the Generative Artificial Intelligence Multi-Agent Collaborative Framework

Abstract

Generative Artificial Intelligence has achieved some results so far and will be used in project-based learning. One of the main problems in the current direction of research on educational technology is how to integrate the content generation capability of generative artificial intelligence with the distributed collaboration function of multi-agent systems organically and build an adaptive project-based learning support framework. With the progress of multi-agent collaboration in generative artificial intelligence, this paper proposes the construction of a project-based learning model and studies related problems from the aspects of theoretical foundation, architectural design and process regulation. The basis of this paper is the application logic for education of generative artificial intelligence, and architectural ideas for a multi-agent collaboration mechanism are put forward. The Design of the Learning-Support Framework at the level of architecture in this paper includes intelligent task decomposition, multi-agent role allocation and generative resource organisation. The scope of process regulation in this paper is the intelligent perception of the learning process, the appearance of features in the construction of group knowledge, and a closed-loop feedback mechanism for results. The aim of this paper is to provide a theoretical basis for the application of generative artificial intelligence in education and offer support for the intelligent transformation of project-based learning.