Model for the identification of students at risk of dropout using big data analytics
In the school context, one of the main metrics for institution performance is the student’s dropout rate. The decrease of the number of students in a university implies a reduction of the main resources necessary for its operation, but the difficulty of this problem is that we need to identify early...
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| Format: | conferenceObject |
| Language: | eng |
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2020
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| Online Access: | http://hdl.handle.net/10198/22609 |
| Country: | Portugal |
| Oai: | oai:bibliotecadigital.ipb.pt:10198/22609 |