ENHANCING LIFE SAFETY AND CIVIL PROTECTION EDUCATION THROUGH ARTIFICIAL INTELLIGENCE TECHNOLOGIES

Abstract

The growing frequency of natural disasters, technogenic accidents, and epidemiological threats has significantly intensified the need for effective and practice-oriented training systems in life safety and civil protection disciplines [1,4]. Traditional educational approaches, predominantly based on lecture-based instruction, often fail to ensure sufficient practical preparedness, situational awareness, and decision-making skills required in real emergency conditions [2,7].
This study investigates the educational potential of artificial intelligence (AI) technologies in teaching life safety and civil protection disciplines within higher education institutions. The research methodology is based on analytical review, comparative pedagogical analysis, and longitudinal observation conducted during the 2023–2026 academic years.
The findings demonstrate that the integration of AI-based tools—including intelligent simulation systems, adaptive assessment platforms, and multilingual learning environments—leads to statistically significant improvements in learning outcomes [3,6]. In particular, AI-supported instruction increases knowledge acquisition by 8–10%, improves long-term retention rates by 20–25%, and enhances the effectiveness of practical training by 35–40% [12,14].
These results confirm that systematic implementation of AI technologies contributes to higher educational quality and improves the professional preparedness of future specialists for emergency response and civil protection tasks.