Volume 3,Issue 7
AI-Enabled Reform of Field-Based Teaching for Geological Disaster Prevention and Mitigation under the OBE Framework
Geological disaster prevention and mitigation is a fundamental task for safeguarding human lives and property. With the rapid expansion of the socio-economic system, anthropogenic impacts on the geosphere have intensified, leading to increased occurrence frequency and hazard intensity of geological disasters. Traditional geological disaster prevention methods primarily rely on manual surveys and empirical judgments, resulting in issues such as low efficiency, high costs, and poor accuracy. Meanwhile, the current field-based course on “Geological disaster prevention and mitigation” exhibits a lack of curriculum diversification, pedagogical obsolescence, and a deficiency in students’ practical competence. To address these issues, this study proposes a restructured curriculum framework guided by Outcome-Based Education (OBE) and empowered by artificial intelligence (AI). In recent years, the rapid advancement of artificial intelligence (AI) technology has provided new approaches and tools for geological disaster prevention and mitigation. This study aims to explore how AI technology can be integrated into the field practice course on “Geological Disaster Prevention and Mitigation.” Through innovations in teaching content and practical instruction, it seeks to enhance practical skills and scientific literacy.
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