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  • 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.
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