Data-driven educational algorithms pedagogical framing
Data from students and learning practices are essential for feeding the artificial intelligence systems used in education. Recurrent data trains the algorithms so that they can be adapted to new situations, either to optimize coursework or to manage repetitive tasks. As the algorithms spread in diff...
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| Format: | Article |
| Language: | English |
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Asociación Iberoamericana de Educación Superior y a Distancia (AIESAD)
2020-07-01
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| Series: | RIED: Revista Iberoamericana de Educación a Distancia |
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| Online Access: | http://revistas.uned.es/index.php/ried/article/view/26470 |