A Web-Based Intelligent Tutoring System for Computer Programming

Web Intelligence is a direction for scientific research that explores practical applications of Artificial Intelligence to the next generation of Web-empowered systems. In this paper, we present a Web-based intelligent tutoring system for computer programming. The decision making process conducted in our intelligent system is guided by Bayesian networks, which are a formal framework for uncertainty management in Artificial Intelligence based on probability theory. Whereas many tutoring systems are static HTML Web pages of a class textbook or lecture notes, our intelligent system can help a student navigate through the online course materials, recommend learning goals, and generate appropriate reading sequences.

• Type: Conference
• Year: 2004
• Where: WEBI
• Authors: Cory J. Butz, Shan Hua, R. Brien Maguire
• Keywords: Artificial Intelligence, Intelligent, Internet Technology, Web-based Intelligent Tutoring, WEBI 2004