#1070: Analyzing Human–AI Interaction Patterns in Generative-AI-Supported Inquiry-Based Learning

This study contributes to computer-supported collaborative learning research by examining human–artificial intelligence (AI) dialogue patterns across teams with different experience levels with generative AI (GAI)-supported inquiry-based learning. Epistemic network analysis of dialogues from 26 teams reveals that teams using GAI support for the second time exhibit projective actions toward their goals through active questioning and concept clarification. In contrast, inexperienced teams rely on GAI scaffolding with passive responses. Notably, goal-oriented questions emerge as critical mediators connecting different question types among first-time user teams.