Active Learning Feedback – Learners engage with content by providing feedback, asking questions, commenting, or pointing out errors. This serves several purposes; it leverages the collective intelligence of your employees to weed out defective content, and also highlights areas of confusion for which additional instruction is needed.
Spaced repetition– Our scientifically designed algorithm beats the forgetting curve by reinforcing learning and spacing it over a period of time.
Adaptive Delivery– Our data-driven algorithm delivers learning that is personalized to an individual’s learning capacity at every point of time.
Verifiable learning growth – Organizations can make data-driven decisions to ensure that their learning programs effectively achieve organizational goals.
Scroll to Top
This website uses cookies to enhance user experience and to analyze performance and traffic on our website. We also share information about your use of our site with our social media, advertising and analytics patners. Privacy policy