Research has found that the "a"-stratified item selection strategy (STR) for computerized adaptive tests (CATs) may lead to insufficient use of high a items at later stages of the tests and thus to reduced measurement precision. A refined approach, unequal item selection across strata (USTR), effectively improves test precision over the…

There has been an increased interest in developing computer-adaptive testing (CAT) and multistage assessments for K-12 accountability assessments. The move to adaptive testing has been met with some resistance by those in the field of special education who express concern about routing of students with divergent profiles (e.g., some students with…

This report summarizes the design and development of an adaptive e-learning prototype for middle school mathematics for use with both sighted and visually disabled students. Adaptation refers to the system's ability to adjust itself to suit particular characteristics of the learner. The main parts of the report describe the system's theoretical…