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.