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Enhancing data pipelines for forecasting student performance: integrating feature selection with cross-validation
Educators seek to harness knowledge from educational corpora to improve student performance outcomes. Although prior studies have compared the efficacy of data mining methods (DMMs) in pipelines for forecasting student success, less work has focused on identifying a set of relevant features prior to...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8591701/ https://www.ncbi.nlm.nih.gov/pubmed/34805485 http://dx.doi.org/10.1186/s41239-021-00279-6 |