Constraint-Based Tutors: A Success Story
Proceedings of the 14th International conference on Industrial and engineering applications of artificial intelligence and expert systems: engineering of intelligent systems
A Comparison of Model-Tracing and Constraint-Based Intelligent Tutoring Paradigms
International Journal of Artificial Intelligence in Education
International Journal of Artificial Intelligence in Education
ZOSMAT: Web-based intelligent tutoring system for teaching-learning process
Expert Systems with Applications: An International Journal
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Intelligent tutoring systems have demonstrated their utility in a variety of domains. However, they are notoriously resource intensive to build. We report here on the development of a software tool that enables non-software developers to declaratively create intelligent tutors. This intelligent tutor generator creates applications with rich user interaction and powerful theory-based remediation capabilities. It utilizes the Constraint Based Tutoring paradigm and is generic enough to create tutors in several domains. It is easily extensible through plug-ins.