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Keywords: corporate, higher education, adaptive, study support

Drillster is an adaptive and interactive learning and testing application. Drillster uses an adaptive (self learning) algorithm and is based on scientific research, see scientific background and scientific research for more information. 

Drillster keeps track of what each individual user has memorized, what he/she has answered correctly or incorrectly and when the material was last seen. Drillster determines the optimal sequence and frequency of practice questions at an individual level. This results in users absorbing more information in less time, and retain the information longer.

Additionally, Drillster calculates when and how knowledge declines and can send the learner a notification just before he or she tends to forget. In that way knowledge is always on top of mind. 

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