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The Role of Artificial Intelligence in Bridging the Gap Between Academia and Labor Markets
Abstract
This chapter investigates the persistent gap between academic education and labor market demands, using theoretical frameworks and empirical studies to analyze its underlying causes. A conceptual model defines the scope of the mismatch, highlighting structural barriers such as outdated curricula and limited industry engagement. The chapter introduces artificial intelligence (AI) and data science as potential tools to bridge this gap, showcasing applications like predictive analytics and intelligent recommendation systems. International and regional case studies demonstrate how AI technologies can help align educational outcomes with job requirements. A localized example from Syria illustrates a hypothetical data-driven approach to enhance graduate employability. The chapter concludes by outlining implementation challenges and offering policy recommendations. Overall, it advocates for strategic collaboration between academia and industry to develop AI-supported, skill-based learning environments responsive to evolving workforce needs.
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