Machine Learning ǀ AIR Assessment
AIR Assessment’s Machine Learning team combines the latest methods in psychometrics, item development, language modeling, and data science to improve how we assess students.
Our practices are deeply grounded in psychometrics. We always aim to provide accurate, reliable, and fair information to empower educators to improve student learning. The faster we can return high-quality results, the faster our clients, teachers, and students can act.
We use machine learning in key ways to improve how we assess students. Our automated scoring engines can predict the same scores that professionally-trained scorers assign for essays and constructed-response items. Our engines consistently demonstrate comparable performance to human scorers.