AI-Driven Predictive Analytics: Transforming Future Risk Management Strategies in Educational Sectors

This paper explores the transformative potential of AI-driven predictive analytics in the realm of risk management within educational sectors. By conducting a meta-synthesis of existing literature, this study consolidates and analyzes the varied applications and impacts of predictive analytics, providing a comprehensive overview of current trends and future possibilities. The findings suggest that AI-driven predictive analytics can significantly enhance risk identification, mitigation, and overall management, ultimately leading to more resilient educational institutions. Key areas of focus include financial risk management, cybersecurity, operational risk management, and student safety. The paper also addresses the ethical considerations and implementation challenges associated with integrating AI technologies into educational settings. Overall, this study highlights the crucial role that AI-driven predictive analytics can play in fortifying educational institutions against a wide array of risks, thereby ensuring more stable and secure learning environments.

کلیدواژه ها:

Transforming Future .Risk Management Strategies ، Educational Sectors