Modelo de gestão da informação aplicada ao ecossistema educacional em rede de conexões digitais para discentes com altas habilidades ou superdotação

Abstract

This study proposes an information management model applied to the educational ecosystem, based on a network of digital connections, for gifted or highly gifted students. The information management system uses external repositories within the educational system, at the federal, state, and municipal levels, and internal repositories for interested parties (educational agents, teachers, students, and families), to map students with high abilities or giftedness in multiple intelligences: creative, productive, linguistic, and logical reasoning. The system uses technological and statistical tools integrated with the decision tree concept to develop a diagnostic and pedagogical assessment document for students. The data and information modeling of the management system, applied to gifted or highly gifted students, is based on three data and information management subsystems: 1) an informational database of institutional data from the educational (public and private); 2) data production and collection, using technologies applied to mapping multiple intelligences; and 3) systematization of data and information, using statistical metrics to measure the degree of giftedness or high abilities. The guidelines that make up the organization of the information management model architecture applied to giftedness or high abilities are based on the macro-process of analyzing the external and internal environment of the educational ecosystem. The result of the infocommunicational processes is expressed through a pedagogical assessment report on multiple intelligences, which describes a pedagogical report classifying students as gifted/highly able in creative, productive (spatial, interpersonal, intrapersonal, naturalistic, bodily-kinesthetic, and musical), linguistic, and logical reasoning