Improving early prediction of academic failure using sentiment analysis on self‐evaluated comments.
Abstract: This study presents a model for the early identification of students who are likely to fail in an academic course. To enhance predictive accuracy, sentiment analysis is used to identify affective information from text‐based self‐evaluated comments written by students. Experimental results...
| Publicado en: | Journal of Computer Assisted Learning Vol. 34; no. 4; pp. 358 - 366 |
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| Autores principales: | , , , , , , , , |
| Formato: | equations & formulas research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
Aug2018
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| Acceso en línea: | Ver este registro en EBSCOhost |