Evaluation of indicators for higher education: development of tools
Abstract The main aim of this article is to contribute to the latest assessment that artificial intelligence can help in the collection, integration and monitoring of data and indicators for undergraduate courses, such as dropout and retention. Its starting point is the understanding that the phenom...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universidade de Sorocaba
2024-12-01
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| Series: | Avaliação: Revista da Avaliação da Educação Superior |
| Subjects: | |
| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1414-40772024000100327&lng=en&tlng=en |
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