Building More Confident, Prepared and Persistent Students

Learn how major universities and publishers are deploying customized, continuously adaptive instructional programs designed to improve success rates in developmental and first year courses. The Knewton adaptivity engine – which Arizona State University and others have started using – is a quantum leap in educational data mining and adaptive learning technology.

Based on concept-level data mining and real-time updating, Knewton provides each student with a uniquely customized, progressively adaptive learning path to achieve proficiency in the core concepts needed for first year success. Universities have more control than ever to decide which concept clusters should be prioritized. The User Interface engages students via the best practices of social gaming and web page A/B testing. It gives students a measure of choice and control, but also gives them a clear path to success from their current state to readiness with lots of confidence building "quick wins" along the way.