This article describes the history, evidence warrants, and evolution of the Center for Research on Evaluation, Standards, and Student Testing's (CRESST) model-based assessments. It considers alternative interpretations of scientific or practical models and illustrates how model-based assessment addresses both definitions. The components of the…

This report documents the technology initiatives of the Center for Research on Evaluation, Standards, and Student Testing (CRESST) in two broad areas: (1) using technology to improve the quality, utility, and feasibility of existing measures; and (2) using technology to design and develop new assessments and measurement approaches available…

Two examples of the interaction between computer technology and assessment are described: a tool-based knowledge representation approach to assess content understanding and a team problem-solving task involving negotiation. The examples serve as the context for the exploration of validity, equity, and utility. (LZ)

Evaluation models are being developed for assessing artificial intelligence (AI) systems in terms of similar performance by groups of people. Natural language understanding and vision systems are the areas of concentration. In simplest terms, the goal is to norm a given natural language system's performance on a sample of people. The specific…

Over the last 20 years, writing about technology (and more recently about its use in assessment systems) has been a joyful experience, in part because the author was usually right about how fast and how unexpected technology progress would be made. In this article, the author suggests to rethink assessment systems from design perspectives and the…