This report includes three papers that address critical "next generation" issues in assessment policy that can help to guide the choices made about system design: computer adaptive assessments, assessment of English learners and assessing science. None of these topics has received the attention that it deserves in the current debate on assessment…

The purpose of this study was to examine whether the efficiency, precision, and validity of computerized adaptive testing (CAT) could be improved by assessing confidence differences in knowledge that examinees possessed. We proposed a novel polytomous CAT model called the confidence-weighting computerized adaptive testing (CWCAT), which combined a…

The importance of student assessment, particularly for summative purposes, has increased greatly over the past thirty years. At the same time, emphasis on including all students in assessment programs has also increased. Assessment programs, whether they are large-scale, district-based, or teacher developed, have traditionally attempted to assess…

Universal design for assessment (UDA) is intended to increase participation of students with disabilities and English-language learners in general education assessments by addressing student needs through customized testing platforms. Computer-based testing provides an optimal format for creating individually-tailored tests. However, although a…