Real-Time Academic Resource Allocation Engine

Develop a PostgreSQL-based resource allocation system that dynamically recommends learning resources based on real-time student performance data. Create complex join and aggregation queries that match student skill gaps with appropriate educational content, taking into account learning styles, previous performance, and curriculum objectives. Implement a scoring mechanism that updates resource recommendations in near-real-time with minimal computational overhead.