A Knowledge-Based Tutoring System for SQL Programming

Gang Zhou, Jason T.L. Wang, Peter A. Ng

Research output: Contribution to journalConference articlepeer-review

2 Scopus citations


This paper presents the design of a knowledge-based tutoring system (KBTS) for teaching students to write SQL programs. After analyzing the underlying control mechanism in a tutoring process, we propose a novel architecture to support the process. Our system has many features such as the use of a uniform control flow strategy, the employment of a graph-based scheme to represent global knowledge, and the allowing of multiple teaching sequences and multiple viewpoints for a teaching goal. We argue that these features are essentialfor not only SQL tutoring systems, but also KBTSs in other domains. Thus, the paper establishes a generic framework for developing the various KBTSs. We also report some implementation considerations for the proposed system.

Original languageEnglish (US)
Pages (from-to)352-358
Number of pages7
JournalProceedings - International Conference on Tools with Artificial Intelligence, ICTAI
StatePublished - 1994
EventProceedings of the 6th International Conference on Tools with Artificial Intelligence - New Orleans, LA, USA
Duration: Nov 6 1994Nov 9 1994

All Science Journal Classification (ASJC) codes

  • Software
  • Artificial Intelligence
  • Computer Science Applications


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