Cognitive Networks in AI Collaboration Pre-service Math Teachers’ Problem-Solving Patterns (Stage 3, 9:50 AM)

• In Event: e-Lightning Ed-Talk Session 16 - Stage 3

Abstract

This study examines how pre-service math teachers (N=30) develop problem-solving competence through AI collaboration. Using Bloom’s taxonomy, we analyze cognitive integration and gender differences via cognitive network analysis (ENA) and lag sequence analysis (GSEQ). Key findings show: (1) Gender-differentiated cognitive networks—males prioritize "analysis→creation" paths, females emphasize "understanding→evaluation" loops; (2) High-scorers form synergistic "application→analysis→creation" networks versus low-scorers’ "understanding→application" cycles; (3) AI strengthens higher-order behavioral chains but cognitive fragmentation persists.

Authors

• Shuai Zhang, East China Normal University

• Binyan Xu, East China Normal University