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
Term Weighting Approaches in Automatic Text Retrieval
Term Weighting Approaches in Automatic Text Retrieval
Fundamentals of Database Systems, Fourth Edition
Fundamentals of Database Systems, Fourth Edition
Student Questions in a Classroom Evaluation of the ALPS Learning Environment
Proceedings of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology
A Constraint-Based Tutor for Learning Object-Oriented Analysis and Design using UML
Proceedings of the 2005 conference on Towards Sustainable and Scalable Educational Innovations Informed by the Learning Sciences: Sharing Good Practices of Research, Experimentation and Innovation
Investigating the Relationship between Spatial Ability and Feedback Style in ITSs
ITS '08 Proceedings of the 9th international conference on Intelligent Tutoring Systems
Fitting Spatial Ability into Intelligent Tutoring Systems Development
Proceedings of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work
Evaluating a general model of adaptive tutorial dialogues
AIED'11 Proceedings of the 15th international conference on Artificial intelligence in education
Fifteen years of constraint-based tutors: what we have achieved and where we are going
User Modeling and User-Adapted Interaction
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We present ERM-Tutor, a constraint-based tutor that teaches logical database design (i.e. mapping conceptual to logical database schemas). Students practice this procedural task in ERM-Tutor by solving each step and receiving feedback on their solutions. We also present a new feature added to the system, which enables students to ask free-form questions. A preliminary evaluation carried out on ERM-Tutor investigated how students use free-form questions, and provided promising results. We plan to perform a bigger study in early 2006.