Tool for Automatic Data Collection and Analysis on Study Choice in Upper Secondary Education

Identifier:  TFG:9588

Handle: https://hdl.handle.net/20.500.11797/TFG9588

Authors:  Pascual Fontanilles, Gerard

Abstract:
This project analyses survey data from high school students to identify factors that influence their choice of studies, with a particular focus on the gender gap in STEM. Using data analysis and clustering techniques, student profiles useful for schools have been generated. Tools have also been developed to clearly visualize and interpret the information, with the aim of facilitating decision-making and promoting more equitable and effective guidance. The results demonstrate the potential of this approach to improve educational planning and promote equal opportunities.