Adaptative Memorization Method Using The "Recurrent Power Law" Model.
Figures 1. NFTs liveminted in the Cardano blockchain for students who attended Wolfram Summer Programs 2021.
Abstract
Is there a way to optimize the memorization time? In this work an adaptative method is created to optimize the time to memorize multiple choice questions and answers about a subject , for that propose the “Recurrent Power Law” model is used, in which it is assumed that the forgetting curve obeys the power law, this model was trained by the Quizlet.com team with 1.5 million questions and answers[1]. Finally an experiment with countries and flags is performed to observe the veracity of the model to optimize the time that a person takes to memorize a set of questions and answers.
Figures 2. From Wolfram Community post