Overview
Knewton Alta is a sophisticated, data-driven adaptive learning platform designed primarily for higher education disciplines including Mathematics, Statistics, Chemistry, and Economics. Its technical architecture is built upon a proprietary knowledge graph that maps thousands of learning objectives and their interdependencies. Unlike static digital textbooks, Alta utilizes Item Response Theory (IRT) and machine learning to analyze student performance at a granular level. When the system detects a knowledge gap, it provides 'just-in-time' remediation by serving prerequisite instructional content—such as targeted videos or text—before returning the student to the primary learning objective. By 2026, Alta has refined its predictive analytics to identify 'at-risk' students within the first two weeks of a semester. The platform is fully LTI (Learning Tools Interoperability) compliant, allowing for seamless integration into enterprise Learning Management Systems like Canvas, Blackboard, and Moodle. Its market position is defined by its commitment to affordability and accessibility, offering a robust alternative to high-cost traditional publishing models while maintaining rigorous academic standards through its partnership with Wiley.