A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
The entity-relationship model—toward a unified view of data
ACM Transactions on Database Systems (TODS) - Special issue: papers from the international conference on very large data bases: September 22–24, 1975, Framingham, MA
Building Intelligent Agents: An Apprenticeship Multistrategy Learning Theory, Methodology, Tool and Case Studies
Learning domain knowledge for teaching procedural skills
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 3
OilEd: A Reason-able Ontology Editor for the Semantic Web
KI '01 Proceedings of the Joint German/Austrian Conference on AI: Advances in Artificial Intelligence
KERMIT: A Constraint-Based Tutor for Database Modeling
ITS '02 Proceedings of the 6th International Conference on Intelligent Tutoring Systems
Experiences in Implementing Constraint-Based Modeling in SQL-Tutor
ITS '98 Proceedings of the 4th International Conference on Intelligent Tutoring Systems
Fundamentals of Database Systems, Fourth Edition
Fundamentals of Database Systems, Fourth Edition
UM '07 Proceedings of the 11th international conference on User Modeling
An Intelligent Tutoring System for Entity Relationship Modelling
International Journal of Artificial Intelligence in Education
A Knowledge Acquisition System for Constraint-based Intelligent Tutoring Systems
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
A comparative analysis of cognitive tutoring and constraint-based modeling
UM'03 Proceedings of the 9th international conference on User modeling
The effect of adapting feedback generality in ITS
AH'06 Proceedings of the 4th international conference on Adaptive Hypermedia and Adaptive Web-Based Systems
Using learning curves to mine student models
UM'05 Proceedings of the 10th international conference on User Modeling
The cognitive tutor authoring tools (CTAT): preliminary evaluation of efficiency gains
ITS'06 Proceedings of the 8th international conference on Intelligent Tutoring Systems
Fifteen years of constraint-based tutors: what we have achieved and where we are going
User Modeling and User-Adapted Interaction
Employing linked data and dialogue for modelling cultural awareness of a user
Proceedings of the 19th international conference on Intelligent User Interfaces
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Intelligent Tutoring Systems (ITS) are effective tools for education. However, developing them is a labour-intensive and time-consuming process. A major share of the effort is devoted to acquiring the domain knowledge that underlies the system's intelligence. The goal of this research is to reduce this knowledge acquisition bottleneck and better enable domain experts with no programming and knowledge engineering expertise to build the domain models required for ITS. In pursuit of this goal we developed an authoring system capable of producing a domain model with the assistance of a domain expert. Unlike previous authoring systems, the Constraint Authoring System (CAS) has the ability to acquire knowledge for both procedural and non-procedural tasks. CAS was developed to generate the knowledge required for constraint-based tutoring systems, reducing both effort and the amount of knowledge engineering and programming expertise required: the domain expert only has to model a domain ontology and provide example problems (with solutions). We developed novel machine learning algorithms to reason about this information and thus generate a domain model. A series of evaluation studies have produced promising results. The initial evaluation revealed that the task of composing the domain ontology aids the manual composition of a domain model. The second study showed that CAS is effective in generating constraints for non procedural database modelling and the procedural data normalisation. The final study demonstrated that CAS is also effective in generating constraints when assisted by only novice ITS authors; under these conditions it still produced constraint sets that were over 90% complete.