An Adaptive High Reasoning Educational Interpretable Evaluation Model for Children’s Literature Based on an Intelligent Library System

A key point in designing learning environments to implement children’s literature programs is the intelligent adaptation to the highest quality content to serve users’ peculiarities better. The concept of adaptation refers to the implementation of settings in a digital learning environment based on the diversity of students’ characteristics and needs, adopting a highly reasoning educational design, based on which the system adapts the form and content of children’s literature lessons. To implement the adaptation in a modern learning environment, this work proposes the design of a High Reasoning Intelligent Library System that provides personalized support for children’s literature at an individual or group level, taking into account their unique characteristics, their evolution during their studies, but also to provide them with the possibility of involvement in the educational process. The proposed approach is a mathematical model expressed in mathematical equations and explanations. Mathematical models make it easier and cheaper to consider more system states than would likely be possible with actual experimental models. The proposed method uses intuitive disambiguation and fuzzy indexes to integrate the educational material based on its optimal adaptation in each case.