Artificial intelligence through Prolog
Artificial intelligence through Prolog
Pixie: a shell for developing intelligent tutoring systems
Artificial intelligence and education; vol. 1: learning environments and tutoring systems
Object-oriented modeling and design
Object-oriented modeling and design
The phenotype of erroneous actions
International Journal of Man-Machine Studies
Human Problem Solving
WWW-based cooperative learning
SAC '00 Proceedings of the 2000 ACM symposium on Applied computing - Volume 2
A conceptual map model for developing intelligent tutoring systems
Computers & Education
An effective approach for test-sheet composition with large-scale item banks
Computers & Education
An effective approach for test-sheet composition with large-scale item banks
Computers & Education
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Successful intelligent tutoring systems provide powerful learning environments but have been hard to transfer to other instructional domains. Conventional authoring systems for tutors, on the other hand, can build a wide range of tutors, but generally do little to tailor instruction toward the student. The authors describe Mebuilder and Metutor, tools for constructing intelligent simulation-based tutors for procedural skills. Mebuilder uses object-oriented methods and automatic planning to prototype tutors quickly, and Metutor is the run-time environment for its tutors. These tools use planning methods, consistency enforcement, objects, and structured menus to make tutor development easier than with conventional authoring software.