Who are we? Visionaries. Inventors. Professors. PhD's. Patent holders. Researchers.
Our team has built an intellectual property base that is unparalleled in the assessment field. We can measure core language and literacy skills and have scored tens of millions of spoken and written test responses from all over the globe. Two of our industry-leading inventors are:
We believe it's most important to first discover what people know, and then help them build on that knowledge. We use engaging and constructive feedback to encourage learning and improved performance.
Because you require technology that is usable as well as useful, we design products based on actual user responses so we know they will work for you.
Pearson's Knowledge Technologies group — a "Best of Breed" mix of inventive problem-solvers — was formed when Pearson acquired Knowledge Analysis Technologies in 2004. We then acquired Ordinate Corporation in 2008 and, most recently, added Integre to our team in 2011.
Knowledge Analysis Technologies was founded in 1998 by Thomas Landauer, Peter Foltz, and Darrell Laham. Tom and Peter first met at Bellcore and, later, both became college professors. When they realized the need for improved test grading, they created the only automated text analysis technology that evaluates the meaning of written passages. Today, the solution provides rich diagnostic feedback to improve writing and reading comprehension.
Ordinate Corporation was founded in 1996 by two Stanford University professors, Jared Bernstein and Brent Townsend. They saw the need to develop and patent a spoken language testing system using speech processing technology, computational linguistics and psychometric scaling. The resulting Versant tests are the first to leverage a completely automated method for testing spoken language.
Integre was founded in 1991 by Donald DeLand, working with Sam Dooley who participates as an "invited expert" in the W3C Math group. Don is the original architect of MathQuery, an automated criterion-based grading technology for constructed-response mathematics. MathQuery can implement partial-credit scoring, provide detailed analysis and reporting and deliver corrective feedback to a student.