FOUNDATIONAL STRATEGIES FOR TEACHING RELATIONAL DATABASES TO UNDERGRADUATES

Abstract

The teaching of relational database concepts remains a cornerstone of undergraduate computing and information systems curricula. Despite the proliferation of alternative data storage paradigms, the relational model endures due to its robust theoretical foundation, the ubiquity of Structured Query Language, and its critical role in the infrastructure of modern organizations. However, the pedagogical journey from abstract principles to practical competence presents significant challenges for both students and instructors. This article argues that effective instruction requires a deliberate and scaffolded approach that demystifies core concepts, connects theory to tangible practice, and cultivates a genuine data-centric mindset. We explore a suite of foundational strategies designed to address common learning obstacles. These strategies emphasize the conceptual prioritization of the logical model over physical implementation, the use of narrative and real-world analogies to illuminate abstract ideas, a carefully sequenced progression from design to querying, and the integration of fundamental data management principles. The objective is to move beyond syntactic knowledge of SQL towards a deep, intuitive understanding of how data is structured, related, and manipulated, thereby equipping students with a durable and transferable skill set essential for their academic and professional futures.