This volume in the NATO Advanced Educational Technologyprogram gives a comprehensive overview of the field ofstudent modelling. Student modelling,a special case of usermodelling, gives an intelligent tutoring system thecapability to individualize its interactions with a student. The book collects together contributions from many of theworld's leading authorities on student modelling. Theyinclude formalists, knowledge engineers, and cognitivescientists, to give the book an interdisciplinary flavourthat enriches the treatment. The editors have written anoverallintroduction that helps to integrate the many ideasin the book. This is a unique, comprehensive, and up-to-datetreatment of the field.
1. Background.- 1. The State of Student Modelling.- 2. Artificial Intelligence Techniques for Student Modelling.- 2. Granularity-Based Reasoning and Belief Revision in Student Models.- 3. Student Modelling Through Qualitative Reasoning.- 4. Modeling the Student in Sherlock II.- 5. Using Machine Learning to Advise a Student Model.- 6. Building a Student Model for an Intelligent Tutoring System.- 3. Human Cognition and Student Modelling.- 7. Constraint-Based Student Modeling.- 8. Strengthening the Novice-Expert Shift Using the Self-Explanation Effect.- 9. Diagnosing and Evaluating the Acquisition Process of Problem Solving Schemata in the Domain of Functional Programming.- 4. Formalizing Student Modelling.- 10. Modelling a Student's Inconsistent Beliefs and Attention.- 11. A Formal Approach To ILEs.- 12. Formal Approaches to Student Modelling.- 5. Epilogue.- 13. Re-Writing Cartesian Student Models.
Series: Nato ASI Subseries F:
Number Of Pages: 392
Published: 28th March 1994
Publisher: Springer-Verlag Berlin and Heidelberg Gmbh & Co. Kg
Country of Publication: DE
Dimensions (cm): 23.5 x 15.5
Weight (kg): 1.64