TR-COSC 04/99
An Intelligent SQL Tutor on the Web
Antonija Mitrovic and Kurt Hausler
Department of Computer Science
University of Canterbury
Abstract
We present SQLT-Web, a Web-enabled intelligent teaching system for the
SQL database language. The system observes students' actions and adapts
to their knowledge and learning abilities. Constraint-Based Modelling is
used to model students. We describe the system's architecture in
comparison to architectures of other existing Web-enabled tutors. All
tutoring functions are performed on the server side, and we explain how
SQLT-Web deals with multiple students. An initial evaluation of SQLT-Web
has been done in a database course in May 1999. The students have enjoyed
the system's adaptability and found it a valuable asset to their learning.