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...

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Bibliographic Details

Published in:	Journal of Computer Assisted Learning Vol. 34; no. 4; pp. 358 - 366
Main Authors:	Yu, L. C., Lee, C. W., Pan, H. I., Chou, C. Y., Chao, P. Y., Chen, Z. H., Tseng, S. F., Chan, C. L., Lai, K. R.
Format:	equations & formulas research tables/charts Journal Article
Published:	Wiley-Blackwell Aug2018
Online Access:	View this record in EBSCOhost