Bayesian Networks in Educational Assessment

• Κύριοι συγγραφείς: Almond, Russell G. (Συγγραφέας), Mislevy, Robert J. (Συγγραφέας), Steinberg, Linda S. (Συγγραφέας), Yan, Duanli (Συγγραφέας), Williamson, David M. (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: New York, NY : Springer New York : Imprint: Springer, 2015.
• Σειρά: Statistics for Social and Behavioral Sciences,
• Θέματα: Statistics.; Artificial intelligence.; Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law.; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.; Artificial Intelligence (incl. Robotics).

Bayesian inference networks, a synthesis of statistics and expert systems, have advanced reasoning under uncertainty in medicine, business, and social sciences. This innovative volume is the first comprehensive treatment exploring how they can be applied to design and analyze innovative educational...

Πίνακας περιεχομένων:

• Introduction
• An Introduction to Evidence-Centered Design
• Bayesian Probability and Statistics: a review
• Basic graph theory and graphical models
• Efficient calculations
• Some Example Networks
• Explanation and Test Construction
• Parameters for Bayesian Network Models
• Learning in Models with Fixed Structure
• Critiquing and Learning Model Structure
• An Illustrative Example
• The Conceptual Assessment Framework
• The Evidence Accumulation Process
• The Biomass Measurement Model
• The Future of Bayesian Networks in Educational Assessment
• Bayesian Network Resources
• References.