Learning Issues for Intelligent Tutoring Systems

1. The Computer as a Tool for Learning Through Reflection.- 2. Toward a Theory of Impasse-Driven Learning.- 3. Psychological Evaluation of Path Hypotheses in Cognitive Diagnosis.- 4. Modeling the Knowledge Base of Mathematics Learners: Situation-Specific and Situation-Nonspecific Knowledge.- 5. The Knowledge Engineer as Student: Metacognitive Bases for Asking Good Questions.- 6. Toward a Theory of Curriculum for Use in Designing Intelligent Instructional Systems.- 7. Enhancing Incremental Learning Processes with Knowledge-Based Systems.- 8. Mental Models and Metaphors: Implications for the Design of Adaptive User-System Interfaces.- 9. Improvement of the Acquisition of Knowledge by Informing Feedback.- 10. Socializing the Intelligent Tutor: Bringing Empathy to Computer Tutors.- 11. Cognitive Economy in Physics Reasoning: Implications for Designing Instructional Materials.- 12. Experimental Data for the Design of a Microworld-Based System for Algebra.- 13. Computer-Aided Model Building.

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