Adaptive Computer-Based Tasks Under an Assessment Engineering Paradigm

This paper presents the theoretical foundations for self-contained, computerized adaptive performance tasks (CAPTs). Some important links are introduced between cognitive dimensions that affect item difficulty, measurement information along a latent scale, and features of assessment engineering task models, templates, and template nodes associated with particular CAPTs. A node-selection algorithm for task generation and a Bayesian calibration framework for calibrating the features associated with template nodes are also presented.