According to UNESCO, education is a fundamental human right and every nation’s citizens should be granted universal access with equal quality to it. Because this goal is yet to be achieved in most countries, in particular in the developing and underdeveloped countries, it is extremely important to find more effective ways to improve education. This paper presents a model based on the application of computational intelligence (data mining and data science) that leads to the development of the student’s knowledge profile and that can help educators in their decision making for best orienting their students. This model also tries to establish key performance indicators to monitor objectives’ achievement within individual strategic planning assembled for each student. The model uses random forest for classification and prediction, graph description for data structure visualization and recommendation systems to present relevant information to stakeholders. The results presented were built based on the real dataset obtained from a Brazilian private k-9 (elementary school). The obtained results include correlations among key data, a model to predict student performance and recommendations that were generated for the stakeholders.

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O processo de gerenciamento de riscos (GR) compreende atividades coordenadas para identificar, analisar, avaliar, tratar, comunicar e monitorar os riscos dos projetos. As organizações que desejam implementar estas atividades ao seu processo de desenvolvimento de software (PDS) devem conduzir uma série de ações para aderir aos padrões existentes. No entanto, não foram encontradas referências para modelos que permitam avaliar o PDS por meio de questionamentos e apresentam uma visão clara das deficiências deste processo. Desta forma, este estudo tem como objetivo, apresentar o questionário de avaliação diagnóstica que é parte do framework GAIA Riscos, bem como a metodologia de cálculo e exposição dos resultados encontrados.