Overview

This volume in the NATO Advanced Educational Technology program gives a comprehensive overview of the field of student modelling. Student modelling,a special case of user modelling, gives an intelligent tutoring system the capability to individualize its interactions with a student. The book collects together contributions from many of the world's leading authorities on student modelling. They include formalists, knowledge engineers, and cognitive scientists, to give the book an interdisciplinary flavour that enriches the treatment. The editors have written an overallintroduction that helps to integrate the many ideas in the book. This is a unique, comprehensive, and up-to-date treatment of the field.

Full Product Details

Author:   Jim E. Greer ,  Gordon I. McCalla
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   Softcover reprint of the original 1st ed. 1994
Volume:   125
Dimensions:   Width: 15.50cm , Height: 2.00cm , Length: 23.50cm
Weight:   0.617kg
ISBN:  

9783642081866

ISBN 10:   364208186
Pages:   392
Publication Date:   01 December 2010
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

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.

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