A data-driven approach to predict first-year students’ academic success in higher education institutions
This study presents a data mining approach to predict academic success of the first-year students. A dataset of 10 academic years for first-year bachelor’s degrees from a Portuguese Higher Institution (N = 9652) has been analysed. Features’ selection resulted in a characterising set of 68 features,...
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| Outros Autores: | , , |
| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2021
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/10071/21296 |
| País: | Portugal |
| Oai: | oai:repositorio.iscte-iul.pt:10071/21296 |