An architecture for plug-in tutor agents
Journal of Artificial Intelligence in Education
Rapid Authoring of Intelligent Tutors for Real-World and Experimental Use
ICALT '06 Proceedings of the Sixth IEEE International Conference on Advanced Learning Technologies
Evaluating the REDEEM Authoring Tool: Can Teachers Create Effective Learning Environments?
International Journal of Artificial Intelligence in Education
The Andes Physics Tutoring System: Lessons Learned
International Journal of Artificial Intelligence in Education
Evaluating a Mixed-Initiative Authoring Environment: Is REDEEM for Real?
Proceedings of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology
Constraint Authoring System: An Empirical Evaluation
Proceedings of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work
What Evidence Matters? A randomized field trial of Cognitive Tutor Algebra I
Proceedings of the 2007 conference on Supporting Learning Flow through Integrative Technologies
User modeling and problem-space representation in the tutor runtime engine
UM'03 Proceedings of the 9th international conference on User modeling
Learning factors analysis – a general method for cognitive model evaluation and improvement
ITS'06 Proceedings of the 8th international conference on Intelligent Tutoring Systems
A cognitive tutor for geometric proof
ITS'10 Proceedings of the 10th international conference on Intelligent Tutoring Systems - Volume Part II
Domain-specific knowledge representation and inference engine for an intelligent tutoring system
Knowledge-Based Systems
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Intelligent Tutoring Systems (ITSs) that employ a model-tracing methodology have consistently shown their effectiveness. However, what evidently makes these tutors effective, the cognitive model embedded within them, has traditionally been difficult to create, requiring great expertise and time, both of which come at a cost. Furthermore, an interface has to be constructed that communicates with the cognitive model. Together these constitute a high bar that needs to be crossed in order to create such a tutor. We outline a system that lowers this bar on both accounts and that has been used to produce commercial-quality tutors. First, we discuss and evaluate a tool that allows authors who are not cognitive scientists or programmers to create a cognitive model. Second, we detail a way for this cognitive model to communicate with third-party interfaces.