Enterprise Partnerships

Over the past decade, millions of users have validated Knewton’s proficiency model and recommendation engine. So, instead of funneling students through a predetermined collection of available paths, Alta can make precise recommendations in real time, continuously updating each student’s route through the course material. When a student struggles with a particular question or type of material, Knewton’s adaptive technology identifies the student’s weaknesses and recommends precisely what they should study next to increase understanding in these areas. Knewton continually evaluates the student’s most recent and historical performance to determine the next best activity to help them advance toward a specific goal.

In a digital world, analyzing information about student interactions with content makes it possible to measure much more accurately how well a given tool drives student understanding. Knewton’s adaptive learning platform can manage hundreds of thousands of content modules to increase transparency into student progress and content performance in order to improve outcomes and manage content revision costs. Using Knewton’s technology, companies get analysis of how real students interact with materials and insights into efficiently, precisely, and cost-effectively improving course materials and content.