DB-Suite: Experiences with Three Intelligent, Web-Based Database Tutors

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Mitrovic, A., Suraweera, P., Martin, B. & Weerasinghe, A. (2004). DB-Suite: Experiences with Three Intelligent, Web-Based Database Tutors. Journal of Interactive Learning Research, 15(4), 409-432. Norfolk, VA: AACE.
Retrieved from http://www.editlib.org/p/18899.

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Journal Information

Journal of Interactive Learning Research
ISSN 1093-023X
Volume 15, Issue 4, October 2004
Association for the Advancement of Computing in Education (AACE)  Norfolk, VA

More Information on JILR

Authors

Antonija Mitrovic, Pramuditha Suraweera, Brent Martin, Amali Weerasinghe, University of Canterbury-Christchurch, New Zealand

Abstract

E-learning is becoming more and more popular with the widespread use of computers and the Internet in educational institutions. Current e-learning courses are nearly always developed using course management systems (CMS), such as WebCT or Blackboard. Although CMS tools provide support for some administrative tasks and enable instructors to provide online instructional material, they offer no deep support for learning: students have access to online material, simple multi-choice quizzes, and chat tools, but there is no ability to track student's progress and adapt the learning material and instructional session to the individual student. In this article we present our experiences with three web-based intelligent tutoring systems in the area of databases. SQL-Tutor teaches the SQL query language, NORMIT is a data normalization tutor, and KERMIT teaches conceptual database modelling using the Entity-Relationship data model. All three tutors in DB-suite have been used and evaluated in the context of genuine teaching activities. We present the most important features of these systems, as well as evaluation results. The DB-suite tutors have proved to be very effective in supporting deep learning, and are well liked by students.

Keywords

• Students
• Instructional Materials
• Learning Management Systems
• Tutoring
• Databases

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