Designing an Intelligent Tutoring System for Database Modelling

Abstract

Database (DB) modelling is the cornerstone of an efficient database. Students require extensive practice to excel in modelling databases due to the analysis and design nature of the task. Conventionally, DB modelling is taught in a classroom environment where the instructor demonstrates the task using typical cases and students practice modelling in labs or tutorials. However, there will never be enough resources to provide one-to-one human tutoring to every student. Intelligent Teaching Systems (ITS) are bright prospects that can be used to provide individualised pedagogical sessions to each and every student. Studies have shown that ITSs with problem-solving environments are ideal tools for enhancing learning in domains where extensive practice is essential. However, there have been very few research attempts at developing ITSs for students learning DB modelling