Automatic item generation is the process of using item models to produce assessment tasks using computer technology. An item model is similar to a template that highlights the elements in the task that must be manipulated to produce new items. The purpose of our study is to describe an innovative method for generating large numbers of diverse and heterogeneous items along with their solutions and associated rationales to support formative feedback. We demonstrate the method by generating items in two diverse content areas, math- ematics and nonverbal reasoning.
['Mark J. Gierl', 'Hollis Lai']
Using Automated Processes to Generate Test Items And Their Associated Solutions and Rationales to Support Formative Feedback