The remarkable strides in artificial intelligence (AI), exemplified by ChatGPT, have unveiled a wealth of opportunities and challenges in assessment. Applying cutting-edge large language models (LLMs) and generative AI to assessment holds great promise in boosting efficiency, mitigating bias, and facilitating customized evaluations. Conversely,…

Standards-based reform, as codified by the No Child Left Behind Act, relies on the ability of assessments to accurately reflect the learning that takes place in U.S. classrooms. However, this property of assessments--their instructional sensitivity--is rarely, if ever, investigated by test developers, states, or researchers. In this paper, the…

If curriculum is to be the basis for assessment reform, assessment specialists must model the process for producing valid assessment products. Validity criteria should guide any model for the assessment development process. However, curriculum-based assessment systems should not be confused with standards-driven assessment systems. (SLD)

Effects of standardized testing on teaching and learning were studied in a survey of 341 elementary school teachers in 9 states, focusing on the meaning of test scores and test-score gains. Results indicate that standardized testing has considerable effects, and that teachers feel considerable pressure to improve student scores. (SLD)