This book presents varied applications of artificial intelligence (AI) in test development, including research and successful examples of using AI technology in automated item generation, automated test assembly, automated scoring, and computerized adaptive testing.

This chapter explores both what happens when test takers disengage and how this disengagement should be managed during scoring.

This research uses interim assessment test results to measure the impact of prior year attendance on starting achievement the following year. Results show the impacts are significant and persistent.

Rapid-guessing can distort test scores and adversely affect measurement. New research shows how disengaged responses can also distort content representation.

New research conducted by the nonprofit assessment organization NWEA predicts that teachers are likely to see an even broader array of achievement gaps when schools reopen.

Many questions remain as experts weigh options for getting children back into the classroom.

This study examines academic skills at kindergarten entry from 2010 and 2017 using data from over 2 million kindergarten students.