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Authors
Abstract(s)
A tese desenvolvida tem como foco fornecer os meios necessários para extrair conhecimento
contidos no histórico académico da instituição transformando a informação em algo simples e
de fácil leitura para qualquer utilizador.
Com o progresso da sociedade, as escolas recebem milhares de alunos todos os anos que terão
de ser orientados e monitorizados pelos dirigentes das instituições académicas de forma a
garantir programas eficientes e adequados para o progresso educacional de todos os alunos.
Atribuir a um docente a responsabilidade de actuar segundo o historial académico dos seus
alunos não é plausível uma vez que um aluno consegue produzir milhares de registos para
análise.
O paradigma de mineração de dados na educação surge com a necessidade de otimizar os
recursos disponíveis expondo conclusões que não se encontram visiveis sem uma análise
acentuada e cuidada. Este paradigma expõe de forma clara e sucinta os dados estatísticos
analisados por computador oferecendo a possibilidade de melhorar as lacunas na qualidade de
ensino das instituições.
Esta dissertação detalha o desenvolvimento de uma ferramente de inteligência de negócio
capaz de, através de mineração de dados, analisar e apresentar conclusões pertinentes de
forma legível ao utilizador.
This thesis focuses on providing the means necessary to assess the knowledge contained in a school’s stored data, transforming chaotic infinite rows of value into something simple, easy to read and available for any user. As the society progresses and schools receives thousands of new students yearly, Educational leaders strive to make their course’s programs effective and adequate for its target audience, and while the students data is stored, its unfeasible to burden the teachers with the task to analyze and act on it. The paradigm of Data Mining arises from the necessity of optimizing the school’s available resources by extracting the conclusions hidden behind layers of data, not only by outlining the system’s overview, but also by exposing the statistical analysis that supports its claims, providing the necessary proofs that ultimately allow for the educational system to improve. This dissertation details the development of a Business Intelligence tool capable of mining the educational program’s available data and delivering the pertinent conclusions reached to the user.
This thesis focuses on providing the means necessary to assess the knowledge contained in a school’s stored data, transforming chaotic infinite rows of value into something simple, easy to read and available for any user. As the society progresses and schools receives thousands of new students yearly, Educational leaders strive to make their course’s programs effective and adequate for its target audience, and while the students data is stored, its unfeasible to burden the teachers with the task to analyze and act on it. The paradigm of Data Mining arises from the necessity of optimizing the school’s available resources by extracting the conclusions hidden behind layers of data, not only by outlining the system’s overview, but also by exposing the statistical analysis that supports its claims, providing the necessary proofs that ultimately allow for the educational system to improve. This dissertation details the development of a Business Intelligence tool capable of mining the educational program’s available data and delivering the pertinent conclusions reached to the user.
Description
Keywords
Ferramenta inteligência de negócio Mineração de dados Mineração de dados na educação Estatísticas Qualidade de ensino Business intelligence Data mining Educational data mining Statistics Educational quality