Artificial Intelligence is at the heart of modern society with computers now capable of making process decisions in many spheres of human activity. In education, there has been intensive growth in systems that make formal and informal learning an anytime, anywhere activity for billions of people through online open educational resources and…

This article describes the evolution and current state of the domain-independent Siette assessment environment. Siette supports different assessment methods--including classical test theory, item response theory, and computer adaptive testing--and integrates them with multidimensional student models used by intelligent educational systems.…

This article represents one outcome from the "Invitational Research Symposium on Technology-Enabled and Universally Designed Assessments," which examined technology-enabled assessments (TEA) and universal design (UD) as they relate to students with disabilities (SWD). It was developed to stimulate research into TEAs designed to better understand…

Reviews the development and use of mass testing procedures for evaluating large groups of relatively homogeneous individuals and suggests computer adaptive testing as an alternative to conventional testing. Highlights include the evaluation of public education and higher education; needs assessment; summative evaluation; adaptive testing; and…