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Publicação
Assessing the impact of academic achievement determinants using Machine Learning methods: evidence from a European country
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Orientador(es)
Resumo(s)
Academic achievement has been of great interest for researchers since the 1950s, although only recently have data science methods started to be applied more systematically. This paper uses the mathematics and Portuguese national exams of the population in Portugal in the 2018/2019 academic year to evaluate the performance between methods and compare what factors affect the results of these exams differently. Furthermore, a new approach is presented to deal with the "black-box" dilemma by creating a set of prototypes with a simple statistical approach applied through Neural Networks, providing an approximation of how much a variable impacts a grade.
Descrição
Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Business Analytics
Palavras-chave
Education Academic Achievement Data Science Drivers SDG 4 - Quality education