ASC has been a game-changer in assessment and psychometrics since 1979.
Assessment Systems Corporation (aka ASC or Assessment Systems) was founded with the sole purpose of modernizing assessments to create improve educational and career opportunities.
David Weiss, Ph.D., and David Vale, Ph.D. – our founding fathers – were the pioneers of computerized adaptive testing (CAT) and the use of item response theory (IRT). They drove early research in the 1960s and 1970s on the use of AI in assessment and psychometrics, as part of the Department of Psychology at the University of Minnesota. ASC was founded to bring that technology to a wider range of organizations.
Assessment Systems Corporation has been a trusted provider in computerized testing since its inception. We were involved with the first research on computerized assessment in the 1960s and 1970s, and built the first publicly available software for adaptive testing and item response theory in the early 1980s.
Our team is dedicated to improving assessment. Of course, a large part of this is quality software with modern psychometric technology. But we also provide extensive training and consulting services, where our expertise can be directly applied to your assessments. We help organizations all over the world to apply modern psychometrics to their assessment processes. We frequently present at industry conferences, and often travel to teach workshops on modern psychometrics, from Botswana to Kazakhstan to Singapore.
Assessment Systems Corporation provides comprehensive assessment solutions with a focus on modern psychometrics. Our platforms manage the entire assessment lifecycle: item authoring, customizable review workflow, assembly, online delivery, essay marking, to reporting.
These are all imbued with powerful psychometrics, automation, and AI, empowering you to implement best practices. Analyze, design, and score assessments with a variety of IRT models and adaptive testing algorithms.
Automatically build test forms and author items. Deliver with live and AI proctoring. Reduce psychometrician and test development costs/timeline.
With ASC, you don’t just digitalize your assessments, you modernize them.
The One Parameter Logistic Model (OPLM or 1PL or IRT 1PL) is one of the three main dichotomous models in the item response theory (IRT)
A z-score measures the distance between a raw score and a mean in standard deviation units. The z-score is also known as a standard score
The borderline group method of standard setting is one of the most common approaches to establishing a cutscore for an exam. In comparison with the
The Ebel method of standard setting is a psychometric approach to establish a cut score for tests consisting of multiple-choice questions. It is usually used
