Artificial Intelligence in Contemporary Education: A Multi-Method Global Analysis

This compilation presents five contemporary studies (2025) exploring the integration of generative AI in education across multiple dimensions—ranging from automated text generation and student performance prediction to behavioral modeling, institutional policy implementation, and responsible AI governance. Using diverse methods including hybrid modeling, content analysis, and expert evaluation, the studies span various educational levels and international contexts, offering a comprehensive view of AI’s evolving role in teaching, learning, and policy.