Abstract

In the rapidly evolving landscape of computer science education, Database Management Systems (DBMS) remain a foundational pillar. However, a common pedagogical challenge is students' tendency to rely on "reasoning by analogy" - copying existing schema designs or SQL templates without grasping the underlying logic. This paper proposes a novel instructional framework based on First Principles Thinking. By deconstructing complex database concepts into their most basic truths - such as set theory, data persistence, and computational trade-offs - students develop a more resilient and adaptable skill set. We present a comparative analysis of student performance using this approach versus traditional methods. Preliminary results indicate that First Principles Thinking significantly improves students’ ability to optimize complex queries and design scalable architectures for non-standard use cases.