A Study on the Impact of AIGC on Students' Critical Thinking Abilities in Collaborative Learning under the Perspective of Human-Intelligence Collaboration

Abstract

This study aims to explore the impact of the AIGC-based human-intelligence collaboration model on students' critical thinking skills in collaborative learning. By diving into a cognitive network analysis, it became clear that using Artificial Intelligence Generated Content (AIGC) in collaborative learning settings dramatically boosted students' critical thinking abilities, notably in analyzing, assessing, and innovating. The statistical analyses revealed that students in the experimental group excelled in cognitive network development and knowledge acquisition compared to their peers. This suggests that the AIGC setting nurtures more profound critical thinking and knowledge building. The purpose of this experiment is to verify the impact of the AIGC-supported collaborative learning mode on students' critical thinking and its specific performance, and to provide an empirical basis for the application and participation of AI education tools in collaborative learning. But the issues like small sample sizes and short experimental periods call for more in-depth investigation in upcoming research endeavors.