FOCUS ARTICLE: The Foundations of Assessment

This article presents major messages from the National Research Council report, Knowing What Students Know: The Science and Design of Educational Assessment (2001). The committee issuing this report was charged with synthesizing advances in the cognitive sciences and measurement, and exploring their implications for improving educational assessment. The article opens with a vision for the future of educational assessment that represents a significant departure from the types of assessments typically available today, and from the ways in which such assessments are most commonly used. This vision is driven by an interpretation of what is both necessary and possible for educational assessment to positively impact student achievement. The argument is made that realizing this vision requires a fundamental rethinking of the foundations and principles guiding assessment design and use. These foundations and principles and their implications are then summarized in the remainder of the article. The argument is made that every assessment, regardless of its purpose, rests on three pillars: (1) a model of how students represent knowledge and develop competence in the subject domain, (2) tasks or situations that allow one to observe students' performance, and (3) interpretation methods for drawing inferences from the performance evidence collected. These three elements-cognition, observation, and interpretation-must be explicitly connected and designed as a coordinated whole. Section II summarizes research and theory on thinking and learning which should serve as the source of the cognition element of the assessment triangle. This large body of research suggests aspects of student achievement that one would want to make inferences about, and the types of observations, or tasks, that will provide evidence to support those inferences. Also described are significant advances in methods of educational measurement that make new approaches to assessment feasible. The argument is presented that measurement models, which are statistical examples of the interpretation element of the assessment triangle, are cuuently available to support the kinds of inferences about student achievement that cognitive science suggests are important to pursue. Section III describes how the contemporary understanding of cognition and methods of measurement jointly provide a set of principles and methods for guiding the processes of assessment design and use. This section explores how the scientific foundations presented in Section II play out in the design of real assessment situations ranging from classroom to large-scale testing contexts. It also considers the role of technology in enhancing assessment design and use. Section IV presents a discussion of the research, development, policy, and practice issues that must be addressed for the field of assessment to move forward and achieve the vision described in Section I.