DS4AA - Understanding the drivers of academic achievement for Portugal’s high school system, 2018
DS4AA - Understanding the drivers of academic achievement for Portugal’s high school system, 2018
As the European Commission recently stated, “early school leaving is an obstacle to economic growth and employment. It hampers productivity and competitiveness, and fuels poverty and social exclusion”. Presently, school dropout, which is one of the most common forms of school failure, is 14% in Portugal, well above the 10.7% of the European average. This project intends to explore the antecedents of academic achievement (AA) at national scale in Portugal, using public high-school students’ micro data.
The project relies on supervised AI methods, using the vast amount of historical data provided by DGEEC, and build a model that highlights the most important factors leading to the AA.
Societal impact:
Help Portugal and other European member-states achieve the Europe 2020 goals, by:
- Supporting fact-based decision making at public policy level;
- Develop and provide a set of predictive models about students’ predicted academic achievement;
- Provide a comprehensive set of suggestions for the Portuguese Ministry of Education’s database future systems.