Artificial Intelligence Competence of K-12 Students Shapes Their AI Risk Perception: A Co-occurrence Network Analysis

This research investigates the relationship between K-12 students' AI competence and their perception of AI risks, utilizing co-occurrence network analysis. The study's focus on young learners and their understanding of AI is significant, as it highlights the importance of AI education in shaping future attitudes and behaviors towards this technology. The methodology, employing co-occurrence network analysis, suggests a quantitative approach to understanding the complex interplay between AI knowledge and risk perception.

• •The study examines the link between AI competence and risk perception in K-12 students.
• •Co-occurrence network analysis is used as the methodology.
• •The research emphasizes the importance of AI education for young learners.