Learning material is cut up into manageable drills of 5-10 minutes. Short learning chunks make it easier to learn at regular intervals. This is more effective and engaging and makes it very suitable for mobile learning.
The smart algorithm adjusts the order and pace of exercises based on the individual forgetting curve. Topics that people find difficult are automatically repeated more often than the ones they already know well. This guarantees a tailored, efficient, continuous learning process on an individual and micro level.
The algorithm calculates when knowledge declines for each person and notifies them in time to brush up on their knowledge. The app then applies increasing intervals between repetition of exercise (variants). As a result, knowledge is anchored in the long term memory, and the knowledge peak transforms into continuous proficiency.
Learning takes place through questions, problems, cases or dilemmas. This way of actively processing information ensures greater retention in the long term. Find out more about assessment based learning in this blog.
You can add corrective feedback to incorrect answers, and complimentary feedback to correct answers. Processing feedback immediately after each exercise enhances the learning effect, as people are then most receptive to it.
We keep on improving our learning solution by continuously optimizing our app and content editor. But also by experimenting with and implementing new methods and technologies. For instance, we implemented: